1 00:00:11,657 --> 00:00:14,937 Speaker 1: You're listening to The Buck Sexton Show podcast, make sure 2 00:00:14,937 --> 00:00:17,577 Speaker 1: you subscribe to the podcast on the iHeart Radio app 3 00:00:17,857 --> 00:00:23,337 Speaker 1: or wherever you get your podcasts. Shoulder to Shoulder Shields. 4 00:00:24,297 --> 00:00:29,577 Speaker 1: Welcome the Buck Sexton Show. Hey team, Welcome to the 5 00:00:29,577 --> 00:00:33,617 Speaker 1: Freedom Hunt. Wednesday, November twenty third edition of the program 6 00:00:33,777 --> 00:00:37,937 Speaker 1: V Nights before Thanksgiving and all through the house not 7 00:00:38,017 --> 00:00:41,017 Speaker 1: a turkey was stirring because it was on the plate. 8 00:00:42,097 --> 00:00:44,057 Speaker 1: Did that work? Kind of? Yeah. We're talking about some 9 00:00:44,137 --> 00:00:49,137 Speaker 1: things and the news and so much more. For example, 10 00:00:49,137 --> 00:00:53,457 Speaker 1: Elon Moss, the Libs melting down at Twitter still because 11 00:00:53,497 --> 00:00:56,417 Speaker 1: the Trust and Safety people aren't really in charge anymore. 12 00:00:56,817 --> 00:00:58,777 Speaker 1: I will discuss that, plus have a little bit of 13 00:00:58,817 --> 00:01:03,377 Speaker 1: a throwdown over Thanksgiving traditions and well mostly just over food. 14 00:01:03,697 --> 00:01:06,777 Speaker 1: What the best stuff to eat is? Oh? Biden extended 15 00:01:07,337 --> 00:01:11,377 Speaker 1: the students loan moratorium because you know, COVID whatever, they 16 00:01:11,417 --> 00:01:13,737 Speaker 1: just make it up as they go along, and some 17 00:01:13,817 --> 00:01:17,297 Speaker 1: more COVID stuff actually coming your way, DC saying that 18 00:01:17,657 --> 00:01:19,577 Speaker 1: school children have to get a test before they come 19 00:01:19,577 --> 00:01:24,457 Speaker 1: back to school because some people just absolutely never learn. 20 00:01:25,257 --> 00:01:28,057 Speaker 1: You know, my friends, my pillow is an amazing company. 21 00:01:28,097 --> 00:01:29,857 Speaker 1: I sleep with my pillows every night. I sleep with 22 00:01:29,937 --> 00:01:32,737 Speaker 1: the Geza Dreams sheets. I wear the my slippers. It's 23 00:01:32,777 --> 00:01:35,137 Speaker 1: got great gear. You've all helped build My Pillow into 24 00:01:35,137 --> 00:01:38,017 Speaker 1: the incredible company that it is today. 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That's my pillow dot com Radio. 43 00:02:29,137 --> 00:02:31,737 Speaker 1: Click on the radio listeners specials thirty nine ninety nine. 44 00:02:31,777 --> 00:02:36,977 Speaker 1: We use promo code buck. All right, my friends, let 45 00:02:37,097 --> 00:02:42,017 Speaker 1: us discuss the situation over at Twitter, where the Washington 46 00:02:42,057 --> 00:02:45,977 Speaker 1: Post has this big story about how Elon Musk is 47 00:02:46,017 --> 00:02:49,657 Speaker 1: basically destroying the place and it's terrible and everyone's fleeing. 48 00:02:49,657 --> 00:02:51,177 Speaker 1: In any minute, it's gonna shut down. I don't think 49 00:02:51,177 --> 00:02:53,577 Speaker 1: anything that's true at all. He's doing a great job. 50 00:02:54,137 --> 00:02:55,617 Speaker 1: He's doing a great job because you have to break 51 00:02:55,617 --> 00:02:57,017 Speaker 1: this thing in order to fix it. You have to 52 00:02:57,057 --> 00:02:59,097 Speaker 1: break it up. If you get rid of the parts 53 00:02:59,137 --> 00:03:04,097 Speaker 1: that are deadweight. You have to exercise some of the 54 00:03:04,137 --> 00:03:08,977 Speaker 1: components of Twitter that are politicized or just expensive and 55 00:03:08,977 --> 00:03:11,217 Speaker 1: do nothing. And a lot of that is going to 56 00:03:11,297 --> 00:03:15,217 Speaker 1: be the commissars right for the term for people in 57 00:03:15,257 --> 00:03:19,417 Speaker 1: the Soviet Union who were part of the government bureaucracy 58 00:03:19,497 --> 00:03:25,097 Speaker 1: which was completely stifling and totalitarian. So the little little 59 00:03:25,137 --> 00:03:28,417 Speaker 1: commissars of Twitter are running around the Trust and Safety 60 00:03:28,457 --> 00:03:32,457 Speaker 1: Commissars and they're telling everybody, oh my gosh, that they're 61 00:03:32,537 --> 00:03:35,697 Speaker 1: leaking the Washington Post. Obviously he didn't even he didn't 62 00:03:35,697 --> 00:03:38,417 Speaker 1: even do the reusable water bottles that our last meeting, 63 00:03:38,497 --> 00:03:42,257 Speaker 1: he had Voss bottled water there. What are we gonna do? 64 00:03:42,577 --> 00:03:44,337 Speaker 1: They're also upset about it. First of all, the fact 65 00:03:44,377 --> 00:03:48,857 Speaker 1: that they had a Trust and Safety Board is crazy enough. 66 00:03:49,697 --> 00:03:52,257 Speaker 1: Then you got to think about how because because first 67 00:03:52,257 --> 00:03:53,857 Speaker 1: of all, they're not trusted and they don't care about 68 00:03:53,857 --> 00:03:56,537 Speaker 1: your safety if you're a conservative right I have tons 69 00:03:56,577 --> 00:03:58,417 Speaker 1: of friends who are on the right who would get 70 00:03:58,457 --> 00:04:00,817 Speaker 1: the worst kinds of death threats and horrible things out 71 00:04:00,817 --> 00:04:03,537 Speaker 1: of them, but they would always say, yeah, Twitter didn't care. 72 00:04:03,657 --> 00:04:05,617 Speaker 1: I told Twitter that I'm getting death threats, my family's 73 00:04:05,617 --> 00:04:07,217 Speaker 1: getting death threats. But Twitter was like, yeah, it doesn't 74 00:04:07,257 --> 00:04:10,257 Speaker 1: violate our policies because you know, you're a hate full 75 00:04:10,297 --> 00:04:12,617 Speaker 1: right winger, so sucks for you. That was that was 76 00:04:12,617 --> 00:04:15,657 Speaker 1: really their attitude was disgusting. But even look at some 77 00:04:15,697 --> 00:04:18,817 Speaker 1: of the people that Trust and Safety Board kicked off 78 00:04:18,817 --> 00:04:21,017 Speaker 1: that platform. Remember Elon just bought this for over forty 79 00:04:21,017 --> 00:04:22,817 Speaker 1: billion dollars. Look at the people that Trust and the 80 00:04:22,817 --> 00:04:27,337 Speaker 1: Safety Board kicked off the platform. They kicked Jordan Peterson off, 81 00:04:27,977 --> 00:04:29,817 Speaker 1: and I know, people always say, oh, well, they kick 82 00:04:29,857 --> 00:04:32,217 Speaker 1: off people like Alex Jones or somebody who is you know, 83 00:04:32,217 --> 00:04:37,497 Speaker 1: it was legitimately a third rail for a lot of people. 84 00:04:38,137 --> 00:04:40,737 Speaker 1: But if they kicked Jordan Peterson off, it's like it's like, no, like, 85 00:04:41,137 --> 00:04:43,777 Speaker 1: don't kick him off. Where does he fall in the 86 00:04:43,897 --> 00:04:49,417 Speaker 1: dominance hierarchy on Twitter? You know? Like no, you know, 87 00:04:49,497 --> 00:04:52,617 Speaker 1: Jordan Peterson got kicked off for what reason? Exactly? Wow, 88 00:04:52,737 --> 00:04:55,537 Speaker 1: because he said he used the name of somebody that's 89 00:04:55,537 --> 00:05:01,537 Speaker 1: their former name that was considered dead naming because they're trans. Yeah, 90 00:05:01,577 --> 00:05:03,537 Speaker 1: they kicked him off Twitter for that. The Babylon be 91 00:05:03,657 --> 00:05:05,537 Speaker 1: said that Rachel Levine was their Man of the Year, 92 00:05:05,577 --> 00:05:08,297 Speaker 1: and guess what, Rachel Levine is a man. So this 93 00:05:08,417 --> 00:05:11,857 Speaker 1: goes to also the the NHL had a tweet that 94 00:05:11,937 --> 00:05:17,057 Speaker 1: they put out just yesterday. The National Hockey League had 95 00:05:17,097 --> 00:05:19,777 Speaker 1: a tweet in which they said, I'm trying to pull 96 00:05:19,857 --> 00:05:23,737 Speaker 1: up here really quickly the following wait where did it go? Oh? 97 00:05:23,777 --> 00:05:26,657 Speaker 1: Here you go? Trans women or women, transmitter men, non 98 00:05:27,337 --> 00:05:30,777 Speaker 1: non binary identity is real and I mean this, I 99 00:05:30,817 --> 00:05:32,377 Speaker 1: just have to point out if trans women were women, 100 00:05:32,377 --> 00:05:35,217 Speaker 1: they wouldn't call them trans women, right, there would be 101 00:05:35,217 --> 00:05:36,937 Speaker 1: no need for the designation because it would just be 102 00:05:36,977 --> 00:05:38,577 Speaker 1: all the same. So what's the point. Why is the 103 00:05:38,697 --> 00:05:43,297 Speaker 1: NHL saying this, Well, you know, wokeness, my friends, Wokeness 104 00:05:43,537 --> 00:05:47,257 Speaker 1: is a mind virus, and it has to it has 105 00:05:47,297 --> 00:05:54,217 Speaker 1: to consume logic, reason, rationality, distort history, and have absolutism 106 00:05:54,297 --> 00:05:57,097 Speaker 1: as its goal. That is what wokeness requires. That is 107 00:05:57,097 --> 00:06:01,417 Speaker 1: what wokeness demands of all of its adherents. It really 108 00:06:01,537 --> 00:06:04,017 Speaker 1: is like a religion, but it's a cult. Like religion, 109 00:06:04,057 --> 00:06:10,497 Speaker 1: there's no free thought allowed within it. So yeah, that 110 00:06:10,697 --> 00:06:13,137 Speaker 1: is what is going on. That is what's going on there. 111 00:06:13,177 --> 00:06:15,617 Speaker 1: But anyway, they kicked off they kicked off Jordan Peterson, 112 00:06:15,617 --> 00:06:19,217 Speaker 1: they kicked off the Babylon be They've they kicked off 113 00:06:19,257 --> 00:06:21,217 Speaker 1: Donald Trump, who's now allowed to come back, but really 114 00:06:21,257 --> 00:06:25,417 Speaker 1: come back. We'll see. All this is just showing us 115 00:06:26,057 --> 00:06:32,097 Speaker 1: the internal nonsense, the way that the polite borrow of 116 00:06:32,137 --> 00:06:36,337 Speaker 1: the Democrats operates inside a major, multi billion dollar company. 117 00:06:36,377 --> 00:06:39,337 Speaker 1: We're seeing this, you're seeing this through the lens of 118 00:06:39,377 --> 00:06:44,057 Speaker 1: Elon's takeover of Twitter. It's fascinating because they really think 119 00:06:44,177 --> 00:06:47,697 Speaker 1: they're so clearly the bad guys, and they really have 120 00:06:47,817 --> 00:06:50,337 Speaker 1: convinced themselves they're the good guys in all of this, 121 00:06:51,337 --> 00:06:54,057 Speaker 1: they just decide. I mean, the way the Washington Post 122 00:06:54,097 --> 00:06:56,617 Speaker 1: was writing about some of this stuff, I gotta tell 123 00:06:56,657 --> 00:07:01,097 Speaker 1: you here, the funny thing is Musk's free speech which 124 00:07:01,097 --> 00:07:04,177 Speaker 1: they put in quotes because you know, scare quotes. Musk's 125 00:07:04,297 --> 00:07:09,337 Speaker 1: free speech agenda dismantled safety work at Twitter. Insiders say, 126 00:07:10,137 --> 00:07:14,577 Speaker 1: safety work are people like using are they using you know, 127 00:07:14,817 --> 00:07:17,297 Speaker 1: buzz saws there and losing their fingers? Like what what 128 00:07:17,337 --> 00:07:19,937 Speaker 1: do they mean by safety work? Let's think about this 129 00:07:19,977 --> 00:07:25,057 Speaker 1: for a second. Oh, you mean emotional safety. Like people 130 00:07:25,097 --> 00:07:28,097 Speaker 1: said really mad mean things about the twenty twenty election, 131 00:07:28,177 --> 00:07:31,977 Speaker 1: and it's like destroying our democracy and that our recycle. 132 00:07:32,857 --> 00:07:35,577 Speaker 1: You know, you're seeing this right, you're seeing this understanding 133 00:07:35,617 --> 00:07:38,777 Speaker 1: of the Libs are emotionally fragile, which is why they 134 00:07:38,817 --> 00:07:42,137 Speaker 1: have to they have to be able to dictate discourse 135 00:07:42,217 --> 00:07:44,497 Speaker 1: or else it all starts to fall apart. It doesn't 136 00:07:44,497 --> 00:07:47,817 Speaker 1: really hold together for them at all. But some of 137 00:07:47,817 --> 00:07:53,937 Speaker 1: the stuff. The way they describe this is fascinating, they say, 138 00:07:53,977 --> 00:07:57,297 Speaker 1: I'm trying to find that they're the way that they 139 00:07:57,337 --> 00:08:02,177 Speaker 1: describe how it's really well thought of, really well considered. 140 00:08:02,217 --> 00:08:04,377 Speaker 1: Here you go, this is a quote from the Washington 141 00:08:04,377 --> 00:08:07,857 Speaker 1: Post piece, the Trust and Safety Team lies at the 142 00:08:07,857 --> 00:08:12,057 Speaker 1: heart of this battle. Known for examining every question from 143 00:08:12,097 --> 00:08:15,777 Speaker 1: every angle before taking action, the team is responsible from 144 00:08:15,777 --> 00:08:18,577 Speaker 1: any of the polarizing decisions that have prompted the right 145 00:08:18,617 --> 00:08:22,897 Speaker 1: to cry censorship. To cry censorship, it is censorship. They're 146 00:08:23,017 --> 00:08:27,097 Speaker 1: crying censorship. It is censorship. When you say that you 147 00:08:27,177 --> 00:08:29,497 Speaker 1: can't say that men or men and women or women 148 00:08:29,577 --> 00:08:31,217 Speaker 1: is not the same when you say that you can't 149 00:08:31,217 --> 00:08:33,297 Speaker 1: say Rachel Levine is the man of the year, you 150 00:08:33,337 --> 00:08:37,417 Speaker 1: are censoring. Is this is black and white? This is definitional. 151 00:08:37,457 --> 00:08:41,457 Speaker 1: They are censoring. When you're kicking a former president off 152 00:08:41,497 --> 00:08:48,337 Speaker 1: your platform, you are censoring. And they here you go. 153 00:08:48,457 --> 00:08:51,377 Speaker 1: Interviews US. More than a dozen current and former employees 154 00:08:52,457 --> 00:08:54,737 Speaker 1: and people close to mister Musk, who spoke in the 155 00:08:54,737 --> 00:08:58,977 Speaker 1: condition of anonymity, tell the Washington Post the clash of 156 00:08:58,977 --> 00:09:01,617 Speaker 1: cultures as Musk and as allies have fired or alienated 157 00:09:01,897 --> 00:09:05,857 Speaker 1: Trust and Safety Team leaders and reverse their decisions, which 158 00:09:05,897 --> 00:09:10,577 Speaker 1: is fantastic, by the way, it's absolutely great. In an 159 00:09:10,577 --> 00:09:13,777 Speaker 1: OpEd on Friday, Rath acknowledge the odd system. Oh, I'm sorry, 160 00:09:13,777 --> 00:09:17,057 Speaker 1: the old system. It is odd. Actually of content moderation 161 00:09:17,417 --> 00:09:20,657 Speaker 1: and know it when I see it may launge. Reflecting 162 00:09:20,657 --> 00:09:23,617 Speaker 1: the values of advertisers, Apple and Google app store managers 163 00:09:23,617 --> 00:09:28,617 Speaker 1: and big tech executives can have a dismaying lack of legitimacy. 164 00:09:29,617 --> 00:09:33,177 Speaker 1: You don't say, you mean the commissars get to decide 165 00:09:33,217 --> 00:09:35,737 Speaker 1: behind closed doors what's going to happen on this platform, 166 00:09:35,777 --> 00:09:37,577 Speaker 1: not explain it to anybody, not tell them in the 167 00:09:37,577 --> 00:09:46,377 Speaker 1: first place what's happening, and that creates a lack of legitimacy. M. Yeah, 168 00:09:46,417 --> 00:09:48,097 Speaker 1: this is what we're up against, friends, and this is 169 00:09:48,137 --> 00:09:52,097 Speaker 1: why they're so freaked out about the whole Twitter situation. 170 00:09:52,137 --> 00:09:55,337 Speaker 1: As you know, you know, there's a big runoff that's 171 00:09:55,337 --> 00:09:57,217 Speaker 1: going to happen here in just a little over a 172 00:09:57,217 --> 00:10:01,017 Speaker 1: week or so or two weeks in Georgia. Trying to 173 00:10:01,057 --> 00:10:03,977 Speaker 1: do the math in my head between Raphael Warnock and 174 00:10:04,217 --> 00:10:07,537 Speaker 1: Herschel Walker. It's important who gets this Senate seat. It's 175 00:10:07,537 --> 00:10:10,297 Speaker 1: going to be one hundred million dollars plus spend in 176 00:10:10,377 --> 00:10:13,897 Speaker 1: just media on this issue to try to convince people 177 00:10:13,937 --> 00:10:15,777 Speaker 1: to go one way or the other. And there's something 178 00:10:16,297 --> 00:10:18,937 Speaker 1: something I saw about Reverend Warnock that I found very 179 00:10:19,017 --> 00:10:21,977 Speaker 1: interesting because for a moment I was like, oh wow, 180 00:10:22,577 --> 00:10:26,697 Speaker 1: I agree with him on this thing, this decision, this choice, 181 00:10:27,777 --> 00:10:29,257 Speaker 1: and then I found out that it's not really the 182 00:10:29,337 --> 00:10:34,657 Speaker 1: choice that he made. I'll explain in a second. Cyber 183 00:10:34,697 --> 00:10:37,377 Speaker 1: criminals there something we all have to worry about because 184 00:10:37,377 --> 00:10:39,777 Speaker 1: you're putting all your information online, You're buying things, putting 185 00:10:39,777 --> 00:10:43,497 Speaker 1: credit card information, personal data, all of that online and 186 00:10:43,577 --> 00:10:45,977 Speaker 1: what they do is they get your personally identifiable information, 187 00:10:46,017 --> 00:10:49,777 Speaker 1: your PII so security number or driver's license, bank account, 188 00:10:49,817 --> 00:10:52,177 Speaker 1: all that stuff. 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Or 207 00:11:40,697 --> 00:11:42,697 Speaker 1: call or use promo code buck when you go to 208 00:11:42,697 --> 00:11:47,937 Speaker 1: LifeLock dot com. So Raphael Warnock is running against herschell Walker, 209 00:11:47,937 --> 00:11:53,177 Speaker 1: as you all know. And there was an ad that 210 00:11:53,217 --> 00:11:57,697 Speaker 1: I saw. There's a lot of ads. There's a lot 211 00:11:57,737 --> 00:12:01,377 Speaker 1: of ads going on here. Hold on a second, let 212 00:12:01,377 --> 00:12:03,657 Speaker 1: me see it, make sure because PolitiFact, which is usually 213 00:12:03,697 --> 00:12:07,617 Speaker 1: full of crap, is let me see if this is true. 214 00:12:08,217 --> 00:12:10,937 Speaker 1: It looks like it looks like it is true. Okay, 215 00:12:10,977 --> 00:12:19,937 Speaker 1: just making sure. So Raphael Warnock took a a beagle 216 00:12:20,017 --> 00:12:24,577 Speaker 1: for a walk in an ad. Now, look that's fine. 217 00:12:24,617 --> 00:12:27,617 Speaker 1: I love dogs, and I think beagle. I'm just gonna 218 00:12:27,617 --> 00:12:30,537 Speaker 1: say it, a little yappy A little beagles can be 219 00:12:30,537 --> 00:12:32,137 Speaker 1: a little bit They can bark a little too much 220 00:12:32,177 --> 00:12:35,457 Speaker 1: for my taste, but they are adorable. They're great little companions, 221 00:12:35,817 --> 00:12:39,337 Speaker 1: lovely little dogs. I like beagles, I am. I'm generally 222 00:12:40,177 --> 00:12:42,537 Speaker 1: pro beagle if you have an outdoors for them. They're 223 00:12:42,577 --> 00:12:44,817 Speaker 1: not great in apartments because they do bark a lot. 224 00:12:44,817 --> 00:12:46,897 Speaker 1: They're known to be. Yeah, they make a lot of noise. 225 00:12:47,657 --> 00:12:49,537 Speaker 1: But it was a good ad because it showed Raphael 226 00:12:49,577 --> 00:12:52,777 Speaker 1: Warnock walking this adorable dog. Okay, it's a cute dog. 227 00:12:53,177 --> 00:12:54,777 Speaker 1: And I see the I see the ad and I 228 00:12:54,817 --> 00:12:57,777 Speaker 1: go all, he's got a cute dog. You know. Look 229 00:12:57,817 --> 00:13:01,457 Speaker 1: aoc has a French bulldog. She's wrong about everything except 230 00:13:01,497 --> 00:13:03,457 Speaker 1: for her dog, apparently, because it is really cute and 231 00:13:03,497 --> 00:13:06,297 Speaker 1: that's a good choice. So the ad in some sense 232 00:13:06,657 --> 00:13:08,457 Speaker 1: worked on me a little bit because like, o oh, look, 233 00:13:08,457 --> 00:13:12,257 Speaker 1: he's got a cute dog, not his dog. Even PolitiFact 234 00:13:12,257 --> 00:13:15,497 Speaker 1: has to admit this. He borrowed a dog for an ad. 235 00:13:15,537 --> 00:13:18,977 Speaker 1: Why would you do that unless you're trying to convince people, 236 00:13:18,977 --> 00:13:21,817 Speaker 1: Oh yeah, like I'm super nice and you know, likable 237 00:13:21,937 --> 00:13:25,617 Speaker 1: like everybody else with my dog. I just think that's 238 00:13:25,657 --> 00:13:27,337 Speaker 1: a weird move, Like you don't have to have a dog, 239 00:13:27,337 --> 00:13:30,337 Speaker 1: that's fine, but why have a political ad where you're 240 00:13:30,377 --> 00:13:32,857 Speaker 1: clearly trying to show yourself walking a dog that everyone's 241 00:13:32,857 --> 00:13:36,937 Speaker 1: gonna assumes your dog when it's not. I will say, 242 00:13:37,257 --> 00:13:39,657 Speaker 1: you know, people, I've read articles about this. I've heard 243 00:13:39,657 --> 00:13:42,817 Speaker 1: about this too, Like when women see a guy in 244 00:13:42,857 --> 00:13:46,497 Speaker 1: a dating profile with a dog and it's not actually 245 00:13:46,577 --> 00:13:48,817 Speaker 1: his dog, they don't like that. They're like, why are 246 00:13:48,857 --> 00:13:50,777 Speaker 1: you Why are you trying to do the bait and 247 00:13:50,857 --> 00:13:53,657 Speaker 1: switch with the dog, And I think that's fair. I 248 00:13:53,697 --> 00:13:56,617 Speaker 1: think for politicians the same rule can apply here. What 249 00:13:56,657 --> 00:13:58,137 Speaker 1: are you taking a beagle for a walk in this 250 00:13:58,217 --> 00:14:01,417 Speaker 1: video when you don't even have a dog, right, Like, 251 00:14:01,457 --> 00:14:02,937 Speaker 1: what's that all? It's not your dog? You don't even 252 00:14:03,057 --> 00:14:06,657 Speaker 1: he doesn't have a dog, period, Just saying bringing you 253 00:14:06,697 --> 00:14:10,297 Speaker 1: the facts. It's it's a it was a weird it 254 00:14:10,337 --> 00:14:12,417 Speaker 1: was a weird move. I'm just telling you it's a 255 00:14:12,417 --> 00:14:15,537 Speaker 1: weird move. But for a second there, I was like, 256 00:14:15,537 --> 00:14:17,457 Speaker 1: oh wow, I haven't seen a lot of beagles lately. 257 00:14:17,497 --> 00:14:19,377 Speaker 1: I feel like it was a really popular breed in 258 00:14:19,377 --> 00:14:22,337 Speaker 1: the eighties, maybe in the nineties as I was growing up, 259 00:14:22,337 --> 00:14:24,257 Speaker 1: but you don't see as many beagles. You also used 260 00:14:24,257 --> 00:14:27,017 Speaker 1: to see a lot of Cavalier King Charles Spaniels everywhere 261 00:14:27,377 --> 00:14:29,537 Speaker 1: at least in the Northeast. That was really pott. I 262 00:14:29,577 --> 00:14:31,777 Speaker 1: love those dogs. They're super sweet, they're great. You just 263 00:14:31,777 --> 00:14:34,857 Speaker 1: don't see as many of them these days anyway. Ah 264 00:14:34,857 --> 00:14:38,897 Speaker 1: So now it's pretty much Thanksgiving time everybody. So I'm 265 00:14:38,897 --> 00:14:43,777 Speaker 1: just gonna tell you right now that my advice for 266 00:14:43,817 --> 00:14:48,697 Speaker 1: the Thanksgiving feast is to pace yourself. Think about how 267 00:14:48,857 --> 00:14:50,977 Speaker 1: you're probably gonna have to go in for not only seconds, 268 00:14:50,977 --> 00:14:54,857 Speaker 1: but you're gonna have leftovers as well. And so then 269 00:14:54,857 --> 00:14:57,617 Speaker 1: another thing I've learned is don't fill up on the 270 00:14:57,617 --> 00:14:59,377 Speaker 1: There's a lot of people, there's a lot of acoutrement 271 00:14:59,497 --> 00:15:02,457 Speaker 1: out there, so they'll be you know, cheese and crackers 272 00:15:02,457 --> 00:15:04,977 Speaker 1: and pretzels and you know, all this sort of stuff. 273 00:15:04,977 --> 00:15:07,617 Speaker 1: Some people serve salad. I think before they're thinking, no, no, no, no, 274 00:15:08,537 --> 00:15:10,497 Speaker 1: you really want to get right to the b show. 275 00:15:10,537 --> 00:15:13,137 Speaker 1: In my opinion, in my opinion, I'm just one man's opinion, 276 00:15:13,297 --> 00:15:14,537 Speaker 1: you want to get to the big show. You want 277 00:15:14,537 --> 00:15:17,297 Speaker 1: to get right to that turkey, that sweet potato, mashed 278 00:15:17,297 --> 00:15:22,417 Speaker 1: potato stuffing, gravy, maybe some green beans, green bean castrole 279 00:15:22,457 --> 00:15:24,257 Speaker 1: if you're into that, whatever it may be. You want 280 00:15:24,297 --> 00:15:26,457 Speaker 1: to really save up for the big show. You know 281 00:15:26,497 --> 00:15:28,337 Speaker 1: what I mean, you want to have the space in 282 00:15:28,377 --> 00:15:31,697 Speaker 1: the belly because you're probably gonna go two rounds and 283 00:15:31,857 --> 00:15:34,297 Speaker 1: uh and so I'm just that's my only tip for this. 284 00:15:34,497 --> 00:15:38,777 Speaker 1: And then also, you know the gravy. I will say, 285 00:15:38,817 --> 00:15:42,097 Speaker 1: I've always found that stuffing which is like breadcrumbs essentially 286 00:15:42,217 --> 00:15:45,217 Speaker 1: or bread. I don't know what your bread shavings and 287 00:15:45,297 --> 00:15:51,457 Speaker 1: what you call it clumps of bread, gravy and turkey 288 00:15:51,537 --> 00:15:56,377 Speaker 1: juice together in the stuffing game. Changer. Have a great 289 00:15:56,417 --> 00:15:59,737 Speaker 1: Thanksgiving everybody. I'll be talking to you on Friday. We'll 290 00:15:59,777 --> 00:16:03,257 Speaker 1: do a Black Friday show on the radio for sure, 291 00:16:04,737 --> 00:16:07,097 Speaker 1: and tune in. I'll be solo on that one. Clay 292 00:16:07,137 --> 00:16:09,377 Speaker 1: has taken a day off. I'll see you Friday. Shield 293 00:16:09,417 --> 00:16:09,697 Speaker 1: tie