1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,680 Speaker 1: Sexton Show podcast. Welcome and everybody to the Friday edition 3 00:00:07,760 --> 00:00:11,160 Speaker 1: of The Clay Travis and Buck Sexton Show. This is Buck. 4 00:00:11,280 --> 00:00:14,840 Speaker 1: I'm gonna be solo today. My main man, Clay out 5 00:00:15,320 --> 00:00:18,120 Speaker 1: on a vacation day. We'll have a lot to talk 6 00:00:18,160 --> 00:00:22,520 Speaker 1: about here, the future of the GOP obviously in the 7 00:00:22,560 --> 00:00:28,280 Speaker 1: aftermath of the midterm election, House investigations looming, the immigration 8 00:00:28,440 --> 00:00:32,479 Speaker 1: illegal immigration disaster from her wide open border continues. We 9 00:00:32,520 --> 00:00:39,440 Speaker 1: shall discuss some troubling indicators in the economy, inflation, The 10 00:00:39,720 --> 00:00:44,320 Speaker 1: cult of Nancy Pelosi. Will it actually become creepier and 11 00:00:44,560 --> 00:00:49,640 Speaker 1: weirder than the cult of Ruth Vader Ginsburg was? If 12 00:00:49,880 --> 00:00:53,400 Speaker 1: you recall, and I'm sure some of you do, because 13 00:00:53,479 --> 00:00:55,360 Speaker 1: Nancy Pelosi's we know, is no longer going to be 14 00:00:55,440 --> 00:00:57,280 Speaker 1: Speaker of the House. She's not even going to run 15 00:00:57,280 --> 00:01:00,240 Speaker 1: for leadership, and she's basically eighty years old, so I 16 00:01:00,240 --> 00:01:03,319 Speaker 1: don't think she's likely to be Speaker again. I don't 17 00:01:03,360 --> 00:01:06,720 Speaker 1: think she's going to run for leadership again. And you 18 00:01:06,800 --> 00:01:10,120 Speaker 1: will remember that there was a time when Ruth Bader Ginsburg, 19 00:01:10,280 --> 00:01:14,480 Speaker 1: who was at that time, May she rest in peace. 20 00:01:14,760 --> 00:01:18,840 Speaker 1: She was a tiny and frail old lady, and there 21 00:01:18,880 --> 00:01:23,399 Speaker 1: were people who were doing videos of her amazing workout routine, 22 00:01:23,440 --> 00:01:26,640 Speaker 1: and there were little Ruth Bader Ginsberg dolls being sold 23 00:01:27,200 --> 00:01:29,440 Speaker 1: and people talking about how she could do you know, 24 00:01:29,480 --> 00:01:32,160 Speaker 1: a thousand chin ups with one arm or whatever. No, 25 00:01:32,760 --> 00:01:35,199 Speaker 1: but there was a cult that built around her because 26 00:01:35,200 --> 00:01:38,039 Speaker 1: it was about the power of the Democrat Party, and 27 00:01:38,160 --> 00:01:43,080 Speaker 1: there will be a cult built around Nancy Pelosi as well. 28 00:01:43,120 --> 00:01:48,680 Speaker 1: In fact, what's funny is here you have MSNBC's Mika 29 00:01:48,760 --> 00:01:54,080 Speaker 1: of Mika and Joe Infamy saying that unless you were 30 00:01:54,280 --> 00:01:57,640 Speaker 1: in a cult, you better Unless you're in a cult, 31 00:01:57,640 --> 00:02:00,520 Speaker 1: you recognize that Nancy Pelosi is worthy of a cult 32 00:02:00,560 --> 00:02:03,600 Speaker 1: because she is so amazing play clip two. It's the 33 00:02:03,720 --> 00:02:07,040 Speaker 1: end of an era and an incredible one. And I mean, 34 00:02:07,720 --> 00:02:11,200 Speaker 1: whether you're a Republican or a Democrat, it's sort of 35 00:02:11,200 --> 00:02:13,840 Speaker 1: hard not to be in awe of what she has 36 00:02:13,880 --> 00:02:18,760 Speaker 1: accomplished unless you're in a cult. Unless you're in a cult, 37 00:02:19,360 --> 00:02:21,600 Speaker 1: so you better join the cult of Pelosi, or else 38 00:02:21,600 --> 00:02:24,000 Speaker 1: you're in the non Pelosi cult or something like that. 39 00:02:24,080 --> 00:02:27,919 Speaker 1: It makes absolutely no sense. But Nancy Pelosi, if we're 40 00:02:27,919 --> 00:02:32,160 Speaker 1: looking at her legacy and leadership drag the Democrat Party 41 00:02:32,720 --> 00:02:36,600 Speaker 1: to the hard left. We all know this. It's obvious 42 00:02:37,200 --> 00:02:40,520 Speaker 1: Nancy Pelosi was somebody who was an extremist just on 43 00:02:40,560 --> 00:02:44,040 Speaker 1: the issue of abortion, for example, any reason, all nine months, 44 00:02:44,320 --> 00:02:49,280 Speaker 1: taxpayer funding for it, all of the above, everything, and 45 00:02:49,480 --> 00:02:54,679 Speaker 1: would describe herself as extremely Catholic. So yes, Nancy Pelosi 46 00:02:54,840 --> 00:02:57,920 Speaker 1: was in so many ways a huge fraud, but she 47 00:02:58,000 --> 00:03:04,800 Speaker 1: did wield power ruthlessly, as essentially the quintessential San Francisco 48 00:03:04,880 --> 00:03:09,720 Speaker 1: liberal right lives in a super fancy, multi multimillion dollar 49 00:03:09,800 --> 00:03:13,440 Speaker 1: mansion worth tens of millions of dollars. The good news, though, 50 00:03:13,520 --> 00:03:18,440 Speaker 1: is that Nancy Pelosi, no longer in leadership, will focus 51 00:03:18,520 --> 00:03:22,400 Speaker 1: her time on I'm sure a number of things, but 52 00:03:22,600 --> 00:03:27,080 Speaker 1: the pursuit of using non public information to make as 53 00:03:27,160 --> 00:03:29,639 Speaker 1: much money in the stock market as possible, because she's 54 00:03:29,680 --> 00:03:31,560 Speaker 1: been They've been great at that. If you look at 55 00:03:31,720 --> 00:03:35,360 Speaker 1: Nancy Pelosi's returns, and members of Congress have access to 56 00:03:35,440 --> 00:03:39,440 Speaker 1: non public information. Somehow, Pelosi, if you were mirroring the 57 00:03:39,600 --> 00:03:42,880 Speaker 1: Pelosi family trades, you've done very well in the stock market. 58 00:03:42,880 --> 00:03:47,360 Speaker 1: It's fascinating how that happens. She's like a genius. She's 59 00:03:47,440 --> 00:03:50,480 Speaker 1: like Warren Buffett with longer hair. But this is what 60 00:03:50,480 --> 00:03:53,160 Speaker 1: we're told anyway, The big the big thing for me 61 00:03:53,280 --> 00:03:55,400 Speaker 1: last night though, And we'll talk more about Pelosi a 62 00:03:55,400 --> 00:03:57,520 Speaker 1: little bit later. And also if you have any if 63 00:03:57,520 --> 00:03:59,920 Speaker 1: you have any thoughts about the Pelosi era or any 64 00:04:00,040 --> 00:04:01,680 Speaker 1: thing else going on right now, the phone lines are 65 00:04:01,720 --> 00:04:04,560 Speaker 1: open eight hundred two eight two to eight eight two. 66 00:04:06,280 --> 00:04:12,360 Speaker 1: The meltdown at Twitter is utterly fascinating. And I understand 67 00:04:12,440 --> 00:04:14,480 Speaker 1: that of the people listening to this on radio or 68 00:04:14,600 --> 00:04:17,640 Speaker 1: pot or later on in the day in podcast, there's 69 00:04:17,680 --> 00:04:20,840 Speaker 1: a very small percentage over all of you that are 70 00:04:20,960 --> 00:04:25,760 Speaker 1: active on Twitter. But Twitter is really the single most 71 00:04:26,320 --> 00:04:28,440 Speaker 1: for people in the media, for people that make a 72 00:04:28,480 --> 00:04:32,560 Speaker 1: living in content and trying to spread information ideas. It 73 00:04:32,680 --> 00:04:36,080 Speaker 1: is the most interactive, and it's really the only place 74 00:04:36,160 --> 00:04:40,720 Speaker 1: where the two sides of the ideological battlefield meet in 75 00:04:40,760 --> 00:04:44,359 Speaker 1: any meaningful way. It doesn't really happen on cable news anymore. 76 00:04:45,400 --> 00:04:48,560 Speaker 1: I remember growing up watching cable news shows like Crossfire 77 00:04:48,600 --> 00:04:51,000 Speaker 1: and you know, on Fox they have great debates, you know, 78 00:04:51,040 --> 00:04:54,400 Speaker 1: I remember, like you know, there are so many you know, 79 00:04:54,480 --> 00:04:57,839 Speaker 1: Christopher Hitchins going on Hannity Show and people all these 80 00:04:57,880 --> 00:05:02,480 Speaker 1: different names in the past. Debates on TV never happens anymore. 81 00:05:02,880 --> 00:05:06,080 Speaker 1: This just doesn't happen anymore. And so one of the 82 00:05:06,120 --> 00:05:10,760 Speaker 1: only places where there's actual engagement in the battlefield of 83 00:05:10,800 --> 00:05:13,880 Speaker 1: ideas is on Twitter. Now. The left is you know, 84 00:05:14,440 --> 00:05:17,480 Speaker 1: has had a massive hand on not even a thumb, 85 00:05:17,520 --> 00:05:21,479 Speaker 1: like an entire fist, pressing down on the scale for 86 00:05:21,600 --> 00:05:28,440 Speaker 1: their side. And this manifested itself most clearly right before 87 00:05:28,640 --> 00:05:33,280 Speaker 1: the twenty twenty election with the infamous but very very 88 00:05:33,320 --> 00:05:40,640 Speaker 1: intentional suppression of the Hunter Biden laptop story with the 89 00:05:40,680 --> 00:05:46,080 Speaker 1: fifty intelligence professionals. Oh yeah, we're a real serious intelligence professionals, 90 00:05:46,520 --> 00:05:49,640 Speaker 1: you know, decades and decades and super secret squirrel stuff. 91 00:05:49,640 --> 00:05:53,640 Speaker 1: We're telling you that's Russian disinformation. And people all across 92 00:05:53,680 --> 00:05:57,920 Speaker 1: the country who are honest and capable of independent thought 93 00:05:58,400 --> 00:06:02,960 Speaker 1: immediately thought to themselves, Okay, but that's ridiculous. It's some 94 00:06:03,240 --> 00:06:07,240 Speaker 1: you know, Oleg and Yuri FSB guys in a basement 95 00:06:07,360 --> 00:06:11,039 Speaker 1: somewhere outside of Moscow. Will let's take the photos of 96 00:06:11,279 --> 00:06:15,599 Speaker 1: Hunter and wheel doctor to them. So he's almost in 97 00:06:15,720 --> 00:06:20,280 Speaker 1: the tide. Whitey's all the time with the handguns, sometimes 98 00:06:20,400 --> 00:06:24,840 Speaker 1: lots of drugs, cocaine all the No, that's that's not 99 00:06:24,960 --> 00:06:28,000 Speaker 1: actually what happened, as we all know, as as good 100 00:06:28,000 --> 00:06:31,880 Speaker 1: as anybody may think. The Russian Domestic Intelligence Service may 101 00:06:31,920 --> 00:06:37,040 Speaker 1: be at its mischief, the FSB, the Federal Nayaz Nasty 102 00:06:38,000 --> 00:06:39,120 Speaker 1: for those of you who want to know what the 103 00:06:39,160 --> 00:06:42,680 Speaker 1: acronym actually is stands for. It was not. It was not. 104 00:06:42,800 --> 00:06:47,120 Speaker 1: In fact, it was not Russian disinformation as we know, 105 00:06:47,279 --> 00:06:50,480 Speaker 1: and that itself may very well have made the difference 106 00:06:50,520 --> 00:06:52,880 Speaker 1: in the election. I think everyone is waking up now 107 00:06:52,920 --> 00:06:56,200 Speaker 1: more than ever to the reality of what the American 108 00:06:56,279 --> 00:07:00,280 Speaker 1: political electorate looks like, which is, you've got, you know, 109 00:07:01,000 --> 00:07:04,640 Speaker 1: a mass on one side of the ideological divide, a 110 00:07:04,760 --> 00:07:10,360 Speaker 1: mass on the other left and right, Lib, Conservative, Democrat, Republican, 111 00:07:10,520 --> 00:07:15,440 Speaker 1: and then this tiny, tiny sliver of people who can 112 00:07:15,480 --> 00:07:17,800 Speaker 1: be persuaded one way or the other, who may or 113 00:07:17,840 --> 00:07:22,040 Speaker 1: may not vote, and we are fighting over one percent 114 00:07:22,280 --> 00:07:25,720 Speaker 1: of voters basically, all this stuff that you hear going on, 115 00:07:25,760 --> 00:07:29,240 Speaker 1: I mean, And so that's I think why there's so 116 00:07:29,360 --> 00:07:33,400 Speaker 1: much of an echo chamber effect, because especially on the left, 117 00:07:33,440 --> 00:07:35,720 Speaker 1: they figure if we can just get our message out, 118 00:07:36,080 --> 00:07:41,360 Speaker 1: blasted out the most, we will eventually win, just through 119 00:07:41,400 --> 00:07:45,840 Speaker 1: the sheer force of words and repetition. So here we 120 00:07:45,880 --> 00:07:49,360 Speaker 1: are now looking at Twitter, a place where they've had 121 00:07:50,480 --> 00:07:54,600 Speaker 1: unfair dominance, not through their actual ideas. And there are 122 00:07:54,640 --> 00:07:57,400 Speaker 1: more libs on Twitter than there are on than there 123 00:07:57,440 --> 00:08:00,960 Speaker 1: are conservatives, that's all. That's also true, that's accurate, but 124 00:08:01,040 --> 00:08:06,080 Speaker 1: they've had active measures taken on their side to make 125 00:08:06,120 --> 00:08:09,800 Speaker 1: sure that they are more dominant and understand that there are. 126 00:08:09,840 --> 00:08:12,320 Speaker 1: The news cycle is often driven, so if you're a 127 00:08:12,960 --> 00:08:16,200 Speaker 1: whether a local newspaper subscriber, you know, like my dad 128 00:08:16,320 --> 00:08:19,480 Speaker 1: still kicks at old school. He likes newspapers, right, He'll 129 00:08:19,280 --> 00:08:21,360 Speaker 1: I fold them out. He can do all that stuff. 130 00:08:21,680 --> 00:08:24,760 Speaker 1: You give me a newspaper, I get tangled up in it. 131 00:08:24,840 --> 00:08:26,440 Speaker 1: You know, I look like I'm trying to sleep in it. 132 00:08:26,440 --> 00:08:31,280 Speaker 1: I can't handle actual newspaper. I'm I'm digital native, so 133 00:08:31,320 --> 00:08:33,559 Speaker 1: I've been doing, you know, the website since I was 134 00:08:33,559 --> 00:08:36,680 Speaker 1: a teenager. Now that's where I get my news. And 135 00:08:37,600 --> 00:08:41,480 Speaker 1: here we are looking at how Twitter filters into all 136 00:08:41,520 --> 00:08:45,120 Speaker 1: these different platforms. Whether you're reading at old school news, website, 137 00:08:45,360 --> 00:08:49,200 Speaker 1: cable news, it often comes from that platform. That's one 138 00:08:49,240 --> 00:08:51,880 Speaker 1: of the first places where breaking news happens. That's one 139 00:08:51,880 --> 00:08:55,000 Speaker 1: of the first places where ideas start percolating, where the 140 00:08:55,160 --> 00:08:58,720 Speaker 1: narrative starts getting formed. So it is in that sense 141 00:08:59,240 --> 00:09:03,520 Speaker 1: enormously important. It has been called the assignment editor for 142 00:09:03,559 --> 00:09:06,040 Speaker 1: The New York Times by many in the past. Twitter 143 00:09:06,360 --> 00:09:09,920 Speaker 1: think about that biggest, most storied newspaper in America, obviously 144 00:09:09,960 --> 00:09:12,559 Speaker 1: also a left wing rag, but the New York Times, 145 00:09:12,600 --> 00:09:16,800 Speaker 1: the Gray Lady, gets its ideas, gets its narrative for 146 00:09:16,840 --> 00:09:19,800 Speaker 1: the day from this website started by a bunch of 147 00:09:19,880 --> 00:09:23,160 Speaker 1: you know, Silicon Valley guys. That's what's been going on 148 00:09:23,240 --> 00:09:27,360 Speaker 1: now for about the last decade, and so now it 149 00:09:27,480 --> 00:09:33,080 Speaker 1: is in Elon's hands, and it is epic. It is 150 00:09:33,800 --> 00:09:38,640 Speaker 1: amazing to watch what is going on here. Mass resignations yesterday. 151 00:09:39,120 --> 00:09:42,440 Speaker 1: You have people who are exposing so much of what 152 00:09:42,520 --> 00:09:45,160 Speaker 1: they think and what they really are, both inside and 153 00:09:45,360 --> 00:09:50,320 Speaker 1: outside the company. For one thing, this is you have 154 00:09:50,360 --> 00:09:57,960 Speaker 1: to start with this. You have journos who overwhelmingly have 155 00:09:59,080 --> 00:10:02,880 Speaker 1: humanities to reads and communications god forbid. But it's true 156 00:10:03,000 --> 00:10:09,360 Speaker 1: journalism itself, gender studies things like this, who are smugly 157 00:10:10,000 --> 00:10:15,360 Speaker 1: lecturing Elon Musk, who's worth two hundred billion dollars roughly 158 00:10:15,480 --> 00:10:17,240 Speaker 1: give or take. I guess maybe one hundred and fifty 159 00:10:17,280 --> 00:10:20,000 Speaker 1: now because he bought Twitter, but whatever, the richest man 160 00:10:20,080 --> 00:10:23,560 Speaker 1: in the world, who sends rockets into space more efficiently 161 00:10:24,320 --> 00:10:29,000 Speaker 1: than NASA, who has revolutionized the global electric vehicle markets 162 00:10:29,000 --> 00:10:31,960 Speaker 1: so that electric cars aren't just glorified go carts, they're 163 00:10:32,000 --> 00:10:34,480 Speaker 1: actually cool. I've been in Teslas. I gotta say I 164 00:10:34,600 --> 00:10:37,640 Speaker 1: like them, and it's not because I'm saving the planet 165 00:10:37,720 --> 00:10:40,679 Speaker 1: from CO two. I just like them. They're really cool. 166 00:10:41,360 --> 00:10:43,240 Speaker 1: They're good cars. Now, there's a lot that needs to 167 00:10:43,240 --> 00:10:44,960 Speaker 1: be done with the infrastructure to make sure you got 168 00:10:45,000 --> 00:10:47,760 Speaker 1: the charging stations and all that. But you have people 169 00:10:48,040 --> 00:10:51,040 Speaker 1: who have never seen a balance sheet, who would basically 170 00:10:51,120 --> 00:10:56,240 Speaker 1: describe themselves over a couple of bottles of Zema as 171 00:10:56,400 --> 00:11:00,199 Speaker 1: socialists talking about how Elon Musk doesn't know how to 172 00:11:00,320 --> 00:11:05,640 Speaker 1: run Twitter. Elon's destroying Twitter. Look what he's doing, It's 173 00:11:05,679 --> 00:11:09,360 Speaker 1: all going down. No, no, in fact, what you see. 174 00:11:09,360 --> 00:11:13,160 Speaker 1: Oh actually, here's a perfect example. A CNN media reporter 175 00:11:13,920 --> 00:11:16,559 Speaker 1: is just saying Elon is gutting Twitter, He's routing it, 176 00:11:16,640 --> 00:11:19,200 Speaker 1: he's destroying it. Play cut fifteen, sir, what the hell 177 00:11:19,320 --> 00:11:21,040 Speaker 1: is going on here? Did he buy a company that 178 00:11:21,160 --> 00:11:24,080 Speaker 1: he could not afford or that he does not understand 179 00:11:25,000 --> 00:11:27,319 Speaker 1: or that he really didn't want. I mean, that's the 180 00:11:27,360 --> 00:11:29,959 Speaker 1: million or forty four billion dollar question. I'm not sure 181 00:11:30,000 --> 00:11:32,199 Speaker 1: I can get an Elon Musk's head. The question is 182 00:11:32,240 --> 00:11:34,160 Speaker 1: is there a strategy at all of this? I think 183 00:11:34,160 --> 00:11:36,240 Speaker 1: can you talk to people who are close with Elon, 184 00:11:36,280 --> 00:11:38,960 Speaker 1: they would say that there is a strategy. Of course, 185 00:11:39,000 --> 00:11:42,040 Speaker 1: he wants to improve the platform. He wants to disrupt 186 00:11:42,120 --> 00:11:45,240 Speaker 1: it and create a subscription service for instance. It's just 187 00:11:45,400 --> 00:11:48,280 Speaker 1: that he's moving so fast. He is just breaking everything 188 00:11:48,400 --> 00:11:50,480 Speaker 1: in the process. I mean, there's something to be said 189 00:11:50,480 --> 00:11:52,720 Speaker 1: about people who take risks and move fast and break things. 190 00:11:52,960 --> 00:11:55,920 Speaker 1: But in this case, he is just, you know, destroying 191 00:11:56,000 --> 00:11:59,880 Speaker 1: the platform, seemingly from the inside. Yes, let's let's take 192 00:12:00,800 --> 00:12:04,640 Speaker 1: entrepreneurship advice for a bunch of TV news anchors who 193 00:12:04,800 --> 00:12:08,319 Speaker 1: truly could not run a child lemonade stand on a 194 00:12:08,400 --> 00:12:12,480 Speaker 1: Saturday afternoon on a sunny day. Let's take advice from them. 195 00:12:13,080 --> 00:12:16,000 Speaker 1: Let's hear what they have to say about this social 196 00:12:16,080 --> 00:12:21,040 Speaker 1: media platform that has three hundred million active users, give 197 00:12:21,160 --> 00:12:25,360 Speaker 1: or take, and that has been the single really in 198 00:12:25,480 --> 00:12:28,520 Speaker 1: recent years. Certain and by the way, it's because of Trump. 199 00:12:29,080 --> 00:12:33,679 Speaker 1: People always forget this Twitter became the center of the 200 00:12:35,040 --> 00:12:38,679 Speaker 1: news formation universe under Trump because he'd wake up in 201 00:12:38,720 --> 00:12:41,600 Speaker 1: the morning and he would tweet out five things, ten things, 202 00:12:41,679 --> 00:12:44,120 Speaker 1: whatever it was, and then that would set the news 203 00:12:44,160 --> 00:12:47,360 Speaker 1: cycle for the day. You couldn't be in the media 204 00:12:47,840 --> 00:12:51,199 Speaker 1: and covering the news and not have some idea of 205 00:12:51,280 --> 00:12:53,640 Speaker 1: what was going on Twitter because of what Trump did. 206 00:12:53,720 --> 00:12:59,400 Speaker 1: So Trump ironically push this platform into into the stratosphere 207 00:12:59,440 --> 00:13:01,959 Speaker 1: in terms of relevance. But what we found out was 208 00:13:02,040 --> 00:13:04,120 Speaker 1: that then they had to shut it down and use 209 00:13:04,200 --> 00:13:07,880 Speaker 1: it against shut him down and use the platform and 210 00:13:07,920 --> 00:13:10,480 Speaker 1: every way they could for partisan advantage. So what you 211 00:13:10,600 --> 00:13:13,760 Speaker 1: have now or a bunch of cry babies who when 212 00:13:13,760 --> 00:13:16,000 Speaker 1: they get emails from Elon saying you have to be 213 00:13:16,600 --> 00:13:19,520 Speaker 1: hardcore in your work ethic, oh my gosh, Like where's 214 00:13:19,559 --> 00:13:22,640 Speaker 1: my work life balance? Like I am used to coming 215 00:13:22,679 --> 00:13:26,320 Speaker 1: in every day at eleven am with my pet therapist 216 00:13:26,520 --> 00:13:29,319 Speaker 1: meeting me because I'm obviously bringing in my favorite shitsu 217 00:13:29,480 --> 00:13:32,840 Speaker 1: along with me, and we're talking about like, oh my gosh, 218 00:13:33,000 --> 00:13:35,520 Speaker 1: like what are we going to do today? They're all 219 00:13:35,640 --> 00:13:39,400 Speaker 1: whining and crying and the whole thing. You know, you 220 00:13:39,440 --> 00:13:41,240 Speaker 1: don't need people like that to run a company. You 221 00:13:41,320 --> 00:13:45,000 Speaker 1: actually don't. But they infiltrated the HR department, and then 222 00:13:45,000 --> 00:13:47,800 Speaker 1: they took over the Diversity and Inclusion department, and then 223 00:13:47,840 --> 00:13:51,520 Speaker 1: they took over the corporate suite. And now it's all about, 224 00:13:51,600 --> 00:13:55,679 Speaker 1: you know, how everybody has to get their you know, 225 00:13:55,880 --> 00:13:58,199 Speaker 1: vegan sushi rolls made for them for their three hour 226 00:13:58,280 --> 00:13:59,880 Speaker 1: lunches every day. I mean, you could see they're these 227 00:14:00,120 --> 00:14:04,480 Speaker 1: videos about this. There are actual videos where people show 228 00:14:04,559 --> 00:14:06,800 Speaker 1: what their day is like in Twitter, so many of 229 00:14:06,880 --> 00:14:08,880 Speaker 1: you see, here's the thing. I worked in the federal government, 230 00:14:08,960 --> 00:14:12,320 Speaker 1: right I worked in the CIA, which is a massive entity, 231 00:14:12,800 --> 00:14:14,480 Speaker 1: and there are much bigger ones. Obviously, if you work 232 00:14:14,480 --> 00:14:16,439 Speaker 1: in the Department of Defense, you know you've worked in 233 00:14:16,480 --> 00:14:19,920 Speaker 1: a place that's orders of magnitude larger. But you work 234 00:14:19,960 --> 00:14:22,480 Speaker 1: in a huge bureaucracy. What does everybody know? In a 235 00:14:22,560 --> 00:14:27,160 Speaker 1: huge bureaucracy, everybody who's there, who's honest, will say ten 236 00:14:27,240 --> 00:14:29,680 Speaker 1: percent of the people do ninety percent of the essential work, 237 00:14:29,960 --> 00:14:32,440 Speaker 1: and thirty or forty percent of the people do all 238 00:14:32,520 --> 00:14:35,760 Speaker 1: the actual work, and then everybody else is just kind 239 00:14:35,800 --> 00:14:39,880 Speaker 1: of there. This is just true of bureaucracy. Elon is 240 00:14:39,920 --> 00:14:43,400 Speaker 1: applying that basic logic and understanding which he knows from 241 00:14:43,960 --> 00:14:47,160 Speaker 1: running companies and doing amazing things. And the libs are 242 00:14:47,280 --> 00:14:51,280 Speaker 1: in panic about it, absolute panic about it. Oh, he's 243 00:14:51,320 --> 00:14:53,120 Speaker 1: going to destroy the whole company. It's been a couple 244 00:14:53,160 --> 00:14:56,680 Speaker 1: of weeks. Chill out, libs, how about that? But see 245 00:14:56,720 --> 00:14:59,920 Speaker 1: they can't because they know that once the battlefield device 246 00:15:00,000 --> 00:15:03,880 Speaker 1: ideas online opens up in a meaningful way, once the 247 00:15:04,000 --> 00:15:08,360 Speaker 1: accounts get restored. You know, if President Trump wants to 248 00:15:08,440 --> 00:15:11,800 Speaker 1: come back, Ron Desantist maybe gets really active on Twitter, 249 00:15:12,360 --> 00:15:13,800 Speaker 1: you name it. I mean, there are lots of people 250 00:15:13,840 --> 00:15:16,000 Speaker 1: that have been kicked off and Ron obviously hasn't been 251 00:15:16,040 --> 00:15:17,440 Speaker 1: kicked off on Twitter, but there are lots of big 252 00:15:17,560 --> 00:15:20,280 Speaker 1: names out there who could get really active. So it 253 00:15:20,480 --> 00:15:24,120 Speaker 1: is a fascinating case study in how they need control 254 00:15:24,240 --> 00:15:30,400 Speaker 1: because their propaganda is not persuasive without information dominance, information 255 00:15:30,640 --> 00:15:35,000 Speaker 1: space and dissemination dominance. And you know, I'm telling you 256 00:15:35,040 --> 00:15:37,440 Speaker 1: about all these libs who are just so upset because 257 00:15:37,600 --> 00:15:39,640 Speaker 1: a lot of them, a lot of them have some 258 00:15:39,760 --> 00:15:41,640 Speaker 1: kind of a hormonalum balance. A lot of the guys 259 00:15:41,680 --> 00:15:44,440 Speaker 1: who work at Twitter need a little bit more testosterone. 260 00:15:44,680 --> 00:15:48,080 Speaker 1: I want to help them out. I'm a humanitarian, I'm 261 00:15:48,120 --> 00:15:50,440 Speaker 1: a do gooder, So I'm gonna have to find a 262 00:15:50,520 --> 00:15:52,520 Speaker 1: way to get a lot of these. I quit. I 263 00:15:52,640 --> 00:15:58,120 Speaker 1: can't work hard. Twitter engineers some chalk. Chalk helps out 264 00:15:58,200 --> 00:16:02,640 Speaker 1: with testosterone, which is a send to optimal functioning. And 265 00:16:02,760 --> 00:16:05,320 Speaker 1: you know, testosterone levels, not just at Twitter, have been 266 00:16:05,440 --> 00:16:09,400 Speaker 1: dropping a lot in recent decades, and so if that's 267 00:16:09,400 --> 00:16:11,240 Speaker 1: true across the country by them, because of our diet 268 00:16:11,400 --> 00:16:15,480 Speaker 1: environment everything, more testoster means more focus, more energy, more 269 00:16:15,640 --> 00:16:19,040 Speaker 1: drive to get through your day. That's why Chalk has 270 00:16:19,360 --> 00:16:22,480 Speaker 1: natural all natural supplements that have a leading ingredient that 271 00:16:22,520 --> 00:16:25,760 Speaker 1: can increase testosterone twenty percent in the first ninety days, 272 00:16:26,200 --> 00:16:29,040 Speaker 1: the Male Vitality Stack from Chalk. That's that's what you want. 273 00:16:29,360 --> 00:16:31,480 Speaker 1: You can get thirty five percent off right now when 274 00:16:31,520 --> 00:16:35,160 Speaker 1: you go to Chalk thatchoq dot com thirty five percent 275 00:16:35,200 --> 00:16:38,680 Speaker 1: off any Chalk subscription. Just use promo code buck in 276 00:16:38,760 --> 00:16:45,760 Speaker 1: the purchase process at cchoq that's Chalk dot com. Earlier 277 00:16:45,840 --> 00:16:49,080 Speaker 1: this month, he gave a choice work quote unquote hardcore 278 00:16:49,520 --> 00:16:51,920 Speaker 1: or leave the company with three months of severance. It 279 00:16:52,080 --> 00:16:55,640 Speaker 1: seems like a large amount of people have decided to 280 00:16:55,840 --> 00:16:58,400 Speaker 1: leave the company. They don't want to work hardcore, and 281 00:16:58,520 --> 00:17:01,920 Speaker 1: that's thrown the future of this platform into utter chaos. 282 00:17:02,200 --> 00:17:05,280 Speaker 1: I've been talking to people all day. One former executive 283 00:17:05,320 --> 00:17:08,879 Speaker 1: who recently exited told me that with all these departures, 284 00:17:09,000 --> 00:17:11,159 Speaker 1: it's going to be hard just to keep the lights 285 00:17:11,280 --> 00:17:14,760 Speaker 1: on over there. And so now with all these departures 286 00:17:14,880 --> 00:17:17,879 Speaker 1: the people who are remaining, the management has suspended badge 287 00:17:17,920 --> 00:17:22,480 Speaker 1: access into Twitter's offices, presumably because they're afraid that employees 288 00:17:22,480 --> 00:17:25,440 Speaker 1: who are technically no longer employed at Twitter could potentially 289 00:17:25,560 --> 00:17:29,920 Speaker 1: sabotage things. Oh my gosh, Twitter may all shut down. 290 00:17:30,080 --> 00:17:33,520 Speaker 1: There's you know, to live. They really just need like 291 00:17:33,640 --> 00:17:36,760 Speaker 1: a need, like, you know, a cup of warm camerameal 292 00:17:36,840 --> 00:17:39,359 Speaker 1: and a Xanex or something. Calm down lives. It's all 293 00:17:39,400 --> 00:17:41,439 Speaker 1: gonna be fine. Yeah. The richest guy in the world, 294 00:17:42,119 --> 00:17:44,760 Speaker 1: literally the richest man on planet Earth. I think he's 295 00:17:44,800 --> 00:17:49,000 Speaker 1: gonna find a way to keep the lights on without 296 00:17:49,200 --> 00:17:54,080 Speaker 1: all of the emotional health gurus over at Twitter pretending 297 00:17:54,119 --> 00:17:57,359 Speaker 1: to be some kind of necessary cog in that machine. 298 00:17:58,200 --> 00:18:00,840 Speaker 1: My friends, if you invested in cryptocurrent and see it's 299 00:18:00,880 --> 00:18:03,760 Speaker 1: been rough, it's been a pretty risky investment these days. 300 00:18:04,119 --> 00:18:06,359 Speaker 1: For all the turbulence we see in the stock market, 301 00:18:06,600 --> 00:18:09,160 Speaker 1: few markets pose greater risk than the crypto one look 302 00:18:09,200 --> 00:18:12,800 Speaker 1: at FTX. By contrast, one of the safer forms of investment, 303 00:18:12,960 --> 00:18:15,199 Speaker 1: not just in recent years but over centuries, has been 304 00:18:15,240 --> 00:18:18,879 Speaker 1: precious metals, specifically gold. I continue to rely on the 305 00:18:19,000 --> 00:18:21,840 Speaker 1: Oxford Gold Group for my gold purchases. I've been working 306 00:18:21,880 --> 00:18:24,959 Speaker 1: with Oxford Gold Group for six years now. Gold has 307 00:18:25,000 --> 00:18:27,600 Speaker 1: been proven to be an excellent hedge against inflation and 308 00:18:27,760 --> 00:18:30,840 Speaker 1: this uncertain marketplace that we're all living in. Oxford Gold 309 00:18:30,880 --> 00:18:33,480 Speaker 1: Group will give you expert advice and they have a 310 00:18:33,680 --> 00:18:37,159 Speaker 1: best in class guarantee for pricing as well. Gold is 311 00:18:37,240 --> 00:18:40,399 Speaker 1: the way to make sure your investments are on solid footing, 312 00:18:40,400 --> 00:18:42,640 Speaker 1: and the Oxford Gold Group can help you get there. 313 00:18:43,040 --> 00:18:46,800 Speaker 1: Call them yourself to diversify your portfolio. Call the Oxford 314 00:18:46,800 --> 00:18:49,480 Speaker 1: Gold Group today to request your free Precious Metals Investment 315 00:18:49,520 --> 00:18:52,760 Speaker 1: Guide toll free eight three three four zero four Gold 316 00:18:53,119 --> 00:18:59,880 Speaker 1: eight three three four zero four g LD. Welcome back 317 00:18:59,880 --> 00:19:02,760 Speaker 1: to play and Buck. This is Buck today, rockeet Solo 318 00:19:02,920 --> 00:19:07,159 Speaker 1: Clay taking a day off, and I think this is 319 00:19:07,280 --> 00:19:12,160 Speaker 1: a sign of the times here that there's so much 320 00:19:13,320 --> 00:19:17,560 Speaker 1: in the way of retail theft going on that is 321 00:19:17,640 --> 00:19:23,400 Speaker 1: now being counted by an individual chain in the hundreds 322 00:19:23,480 --> 00:19:28,840 Speaker 1: of millions of dollars of losses. People are stealing all 323 00:19:28,920 --> 00:19:34,040 Speaker 1: the time from stores all across the country, and this 324 00:19:34,400 --> 00:19:39,760 Speaker 1: is made the major economic impacts of this psychological impacts 325 00:19:39,800 --> 00:19:42,320 Speaker 1: to the community, to people who live in these areas, 326 00:19:42,640 --> 00:19:45,720 Speaker 1: which is pretty much any major city right now. And 327 00:19:45,880 --> 00:19:48,320 Speaker 1: it doesn't have to be this way, but I want 328 00:19:48,359 --> 00:19:51,600 Speaker 1: to break all this down in a moment. Target is 329 00:19:51,640 --> 00:19:55,440 Speaker 1: the store that's getting the attention for this right now. 330 00:19:56,240 --> 00:20:00,480 Speaker 1: They're saying that organized retail crime. Is there spa pible 331 00:20:00,600 --> 00:20:08,040 Speaker 1: for four hundred million dollars in down profits this year. 332 00:20:09,640 --> 00:20:13,040 Speaker 1: That is the primary culprit they find in this four 333 00:20:13,200 --> 00:20:19,160 Speaker 1: hundred million dollars in profits because of organized gangs of shoplifters. 334 00:20:20,240 --> 00:20:24,119 Speaker 1: And I've got to tell you it's something that is uh, 335 00:20:24,720 --> 00:20:28,240 Speaker 1: it needs to be addressed because there are so many 336 00:20:28,400 --> 00:20:31,880 Speaker 1: second order effects to this. There's this is in every 337 00:20:31,960 --> 00:20:34,119 Speaker 1: Democrat controlled city right now. This is a proble. Look 338 00:20:34,160 --> 00:20:37,080 Speaker 1: in every city right now. This is a problem to 339 00:20:37,280 --> 00:20:40,320 Speaker 1: varying degrees. But I can tell you they even cite 340 00:20:40,359 --> 00:20:43,000 Speaker 1: in this New York Post piece on this the right 341 00:20:43,080 --> 00:20:48,320 Speaker 1: aid at Fifth Avenue and eighth Avenue rather and fiftieth 342 00:20:48,400 --> 00:20:51,520 Speaker 1: Street in Hell's kitchen. Do you know, do you know 343 00:20:51,560 --> 00:20:55,960 Speaker 1: whose right aid that is mine? They're actually citing that 344 00:20:56,240 --> 00:20:59,320 Speaker 1: the drug store that is right next to where I live, 345 00:20:59,400 --> 00:21:01,680 Speaker 1: that I go in to what a regular basis. I 346 00:21:02,000 --> 00:21:03,800 Speaker 1: want you to think of a number in your head 347 00:21:03,920 --> 00:21:08,360 Speaker 1: right now. The store closed, by the way, Yeah, it's 348 00:21:08,400 --> 00:21:12,800 Speaker 1: not my right it anymore. It closed why because they 349 00:21:12,840 --> 00:21:16,399 Speaker 1: were stealing it into submission, stealing from it so that 350 00:21:16,520 --> 00:21:18,639 Speaker 1: it was not worth it to keep it open. This 351 00:21:18,760 --> 00:21:20,760 Speaker 1: is where we're not talking about someone taking in a 352 00:21:21,320 --> 00:21:23,320 Speaker 1: you know, a straight candy bar because they get a 353 00:21:23,359 --> 00:21:26,359 Speaker 1: thrill from it or something. These are people who go 354 00:21:26,560 --> 00:21:33,440 Speaker 1: into stores with often a backpack, a satchel, a trash bag, 355 00:21:34,160 --> 00:21:38,000 Speaker 1: and they just sweep in. They go to certain they 356 00:21:38,080 --> 00:21:40,359 Speaker 1: go to areas. You know. This is all the stuff 357 00:21:40,359 --> 00:21:43,160 Speaker 1: that you see under lock and key, which are easy 358 00:21:43,280 --> 00:21:47,880 Speaker 1: to resell and have a relatively high resell value meeting. 359 00:21:47,920 --> 00:21:49,920 Speaker 1: You know, if you've got a little package of those 360 00:21:50,040 --> 00:21:52,680 Speaker 1: razor cartridges, for example, in New York City, will cost 361 00:21:52,720 --> 00:21:56,280 Speaker 1: you're like thirty forty bucks. Well, he's steal ten of 362 00:21:56,320 --> 00:21:59,639 Speaker 1: those four hundred dollars, right, So they're not they're not 363 00:21:59,720 --> 00:22:03,080 Speaker 1: taking gallons of milk that's just too cumbersome. And people 364 00:22:03,119 --> 00:22:05,080 Speaker 1: don't really want to buy gallons of milk from a 365 00:22:05,080 --> 00:22:07,359 Speaker 1: stranger on the street. But they will buy a closed 366 00:22:07,440 --> 00:22:12,000 Speaker 1: carton of razor cartridges. They will buy different things that 367 00:22:12,560 --> 00:22:15,399 Speaker 1: are particular skincare products, things that are really expensive, so 368 00:22:15,480 --> 00:22:17,520 Speaker 1: they go in there. This is not people, despite what 369 00:22:17,680 --> 00:22:20,639 Speaker 1: AOC had said about this, You remember that this is 370 00:22:20,680 --> 00:22:23,240 Speaker 1: not people stealing a loaf of bread because they're hungry. 371 00:22:23,960 --> 00:22:27,320 Speaker 1: In fact, what anybody who knows what it's like in 372 00:22:27,400 --> 00:22:29,879 Speaker 1: cities will tell you is that there are you know, 373 00:22:29,960 --> 00:22:33,720 Speaker 1: there are more more soup kitchens and homeless shelters and 374 00:22:33,920 --> 00:22:38,960 Speaker 1: homeless services and ways you know, church and community organizations. 375 00:22:39,119 --> 00:22:40,560 Speaker 1: There's more of that in a lot of these cities, 376 00:22:40,600 --> 00:22:43,560 Speaker 1: and there has ever been and a bigger budget going 377 00:22:43,640 --> 00:22:47,159 Speaker 1: toward it. I mean, in New York City, they keep 378 00:22:47,200 --> 00:22:50,639 Speaker 1: coming up with new ways to find four star hotels 379 00:22:50,800 --> 00:22:54,760 Speaker 1: in which to place the homeless population at taxpayer expense. 380 00:22:56,080 --> 00:22:58,800 Speaker 1: In places like California, they're always trying to come up. 381 00:22:58,840 --> 00:23:03,040 Speaker 1: You know, they just had Caruso just lost to Karen 382 00:23:03,119 --> 00:23:08,000 Speaker 1: Bass for the mayor of Los Angeles. And Los Angeles 383 00:23:08,160 --> 00:23:10,080 Speaker 1: is just another one of these places. It should just 384 00:23:10,320 --> 00:23:13,720 Speaker 1: be the greatest place. I grew up as a kid 385 00:23:13,880 --> 00:23:17,080 Speaker 1: in New York City watching Beverly Hills nine O two 386 00:23:17,160 --> 00:23:21,960 Speaker 1: one zero and movies like Point Break and you know, 387 00:23:22,040 --> 00:23:26,000 Speaker 1: others surfing, and I just thought that California was paradise. 388 00:23:26,200 --> 00:23:28,080 Speaker 1: And I actually remember thinking as a kid, one day 389 00:23:28,640 --> 00:23:30,800 Speaker 1: I'll move out to LA because that just looks like 390 00:23:30,960 --> 00:23:34,160 Speaker 1: the greatest, most fun version of America to my mind, 391 00:23:34,320 --> 00:23:36,359 Speaker 1: to my young mind watching all these movies and stuff, 392 00:23:36,720 --> 00:23:40,760 Speaker 1: LA is amazing. It's being ruined the same way that 393 00:23:41,040 --> 00:23:46,640 Speaker 1: my neighborhood drug store in New York shut down from theft. 394 00:23:47,520 --> 00:23:49,560 Speaker 1: And this is in the middle of Manhattan. This is 395 00:23:49,800 --> 00:23:52,879 Speaker 1: in any of you who have been to Rockefeller Center 396 00:23:53,080 --> 00:23:55,320 Speaker 1: for you know, the Christmas Tree, or you've been, this 397 00:23:55,600 --> 00:23:58,840 Speaker 1: is a couple blocks from there. This is right in 398 00:23:58,880 --> 00:24:01,280 Speaker 1: the heart of the tourist sit district, right in the 399 00:24:01,359 --> 00:24:06,000 Speaker 1: heart of the city. Massive police presence. So why was 400 00:24:06,040 --> 00:24:08,720 Speaker 1: it shut Why was the story shut down? Because people 401 00:24:08,760 --> 00:24:12,920 Speaker 1: go in there and steal and nothing happens to them. 402 00:24:13,840 --> 00:24:17,760 Speaker 1: Nothing happens to them. Now, look at Los Angeles, look 403 00:24:17,760 --> 00:24:20,800 Speaker 1: at San Francisco, same thing. Karen Bass just won the 404 00:24:21,840 --> 00:24:25,240 Speaker 1: race there for mayor over Carus Caruso came in. He 405 00:24:25,280 --> 00:24:28,520 Speaker 1: even got Chris Pratt's backing, you know Chris Pratt from 406 00:24:28,520 --> 00:24:33,680 Speaker 1: Guardians of the Galaxy and the Jurassic Park movies and 407 00:24:33,920 --> 00:24:37,160 Speaker 1: Terminal List series, all that stuff. He said, Look, I'm 408 00:24:37,160 --> 00:24:39,800 Speaker 1: with Caruso because you got to clean this up. It's ridiculous. 409 00:24:40,320 --> 00:24:42,320 Speaker 1: I mean, I have seen I don't go to LA 410 00:24:42,520 --> 00:24:44,200 Speaker 1: that often, but I used to spend a fair amount 411 00:24:44,200 --> 00:24:46,200 Speaker 1: of time out there, especially about five or six years ago, 412 00:24:46,720 --> 00:24:48,600 Speaker 1: and you know, I'd go out there for a week 413 00:24:48,640 --> 00:24:51,840 Speaker 1: at a time. I was there over a Labor Day weekend. 414 00:24:51,880 --> 00:24:54,840 Speaker 1: This year. You see things on the streets there, then, 415 00:24:54,880 --> 00:24:58,040 Speaker 1: I can't. I'm not even comfortable describing to you what 416 00:24:58,200 --> 00:25:00,560 Speaker 1: individuals do on the streets they're on radio, because I 417 00:25:00,640 --> 00:25:02,159 Speaker 1: know some of you are with family and got your 418 00:25:02,240 --> 00:25:06,000 Speaker 1: kids with you. It's appalling, and you have crime all 419 00:25:06,080 --> 00:25:08,680 Speaker 1: over the place, and people keep you know, the the 420 00:25:09,240 --> 00:25:13,040 Speaker 1: left wing Marxist community organizer types and by the way, 421 00:25:13,840 --> 00:25:17,000 Speaker 1: Karen Bass community organizer. Their whole thing is, if we 422 00:25:17,119 --> 00:25:20,679 Speaker 1: just have more funding, if we just have more resources 423 00:25:20,760 --> 00:25:23,840 Speaker 1: for the homeless, it'll we'll be able to deal with this. 424 00:25:25,280 --> 00:25:27,840 Speaker 1: No when people are going into when when able bodied 425 00:25:28,000 --> 00:25:30,720 Speaker 1: mails by the way, in particular, which is often the case, 426 00:25:30,760 --> 00:25:34,720 Speaker 1: because I've seen it, when they go into a drug store, 427 00:25:34,800 --> 00:25:38,800 Speaker 1: when they go into a pharmacy whatever, and sometimes it's 428 00:25:38,840 --> 00:25:41,720 Speaker 1: you know, a Louis Vuitton store. Sometimes it's a place 429 00:25:41,800 --> 00:25:45,639 Speaker 1: that sells five thousand dollars handbags. But when they go 430 00:25:45,720 --> 00:25:47,919 Speaker 1: into even a Rite Aid with a bag and they 431 00:25:48,000 --> 00:25:50,719 Speaker 1: just full it full of everything they can, they are 432 00:25:50,800 --> 00:25:53,840 Speaker 1: stealing for profit. They're not stealing to just feed themselves, 433 00:25:53,840 --> 00:25:55,879 Speaker 1: because if they just wanted to feed themselves, there's a 434 00:25:55,920 --> 00:26:00,159 Speaker 1: lot of other options that aren't illegal. This has is 435 00:26:00,800 --> 00:26:04,080 Speaker 1: such an effect on the psychology of the people in 436 00:26:04,200 --> 00:26:08,600 Speaker 1: these communities. This is so damaging. You know, it's the 437 00:26:08,680 --> 00:26:10,200 Speaker 1: same thing when you go into if you're in a 438 00:26:10,280 --> 00:26:13,920 Speaker 1: really bad neighborhood. So I spent a year and a 439 00:26:14,000 --> 00:26:17,440 Speaker 1: half at the NYPD Intelligence Division, and part of this 440 00:26:17,640 --> 00:26:19,840 Speaker 1: was we did some we did some surveillance in some 441 00:26:19,960 --> 00:26:23,360 Speaker 1: of our cases, and I would go into the neighborhoods 442 00:26:23,520 --> 00:26:27,879 Speaker 1: in New York that very few New Yorkers that I 443 00:26:28,080 --> 00:26:31,119 Speaker 1: grew up with in Manhattan and the western part of 444 00:26:31,200 --> 00:26:35,840 Speaker 1: Brooklyn would ever ever spend any time on their feet 445 00:26:36,160 --> 00:26:40,240 Speaker 1: walking around in And I would go to these neighborhoods, 446 00:26:40,240 --> 00:26:44,000 Speaker 1: and I would see some of the local stores there 447 00:26:44,320 --> 00:26:48,639 Speaker 1: and it looked like the local store, depending especially if 448 00:26:48,680 --> 00:26:50,240 Speaker 1: it was a liquor store, but even some of the 449 00:26:50,280 --> 00:26:54,680 Speaker 1: convenience stores were locked down like you were in a 450 00:26:54,760 --> 00:26:58,280 Speaker 1: prison because they had, you know, the gatedown and they 451 00:26:58,320 --> 00:27:01,560 Speaker 1: have maybe bulletproof glass. They have. These things exist in 452 00:27:01,600 --> 00:27:04,119 Speaker 1: different places. That is so damaging for people in a 453 00:27:04,160 --> 00:27:07,160 Speaker 1: community to see. It is a reminder all the time, 454 00:27:07,440 --> 00:27:10,480 Speaker 1: you are not safe here, and people don't feel safe 455 00:27:10,680 --> 00:27:13,359 Speaker 1: working here. And the business owner, as soon as he 456 00:27:13,440 --> 00:27:17,120 Speaker 1: can afford a more expensive lease is gonna leave. Now 457 00:27:17,160 --> 00:27:20,600 Speaker 1: that's in. That was in the most by the numbers, 458 00:27:21,040 --> 00:27:25,320 Speaker 1: most dangerous neighborhoods in New York City, But even in 459 00:27:25,480 --> 00:27:28,879 Speaker 1: Midtown Manhattan, where I've spent a ton of time. You know, 460 00:27:29,080 --> 00:27:30,960 Speaker 1: I'm a guy who grew up in Manhattan and have 461 00:27:31,080 --> 00:27:33,840 Speaker 1: lived in Midtown. Even there that they had to shut 462 00:27:33,920 --> 00:27:36,960 Speaker 1: down this store, I would walk in and I would 463 00:27:37,000 --> 00:27:38,560 Speaker 1: see and I know the story they talked with this 464 00:27:38,600 --> 00:27:41,120 Speaker 1: Nearer Post article very well. And I've been in targets, 465 00:27:41,400 --> 00:27:43,440 Speaker 1: you know, I see the kind of stuff that goes 466 00:27:43,520 --> 00:27:48,000 Speaker 1: on there too. People steal and they know they won't 467 00:27:48,000 --> 00:27:53,360 Speaker 1: be punished. That makes people who are around them who 468 00:27:53,520 --> 00:27:56,640 Speaker 1: see this, who see everything under lock and key, who 469 00:27:56,840 --> 00:28:00,439 Speaker 1: see the sense of siege that these store clerks are 470 00:28:00,520 --> 00:28:02,680 Speaker 1: under because a lot of times they'll go people go 471 00:28:02,760 --> 00:28:04,800 Speaker 1: in there, they'll steal, and maybe they won't try to 472 00:28:04,880 --> 00:28:08,520 Speaker 1: confront them physically, but there'll be some verbal exchange that 473 00:28:08,600 --> 00:28:12,359 Speaker 1: often will just evolve into four letter word shouts at 474 00:28:12,440 --> 00:28:15,800 Speaker 1: each other. And they see all this and they say, 475 00:28:16,280 --> 00:28:17,680 Speaker 1: why don't I don't want to be here anymore. I 476 00:28:17,720 --> 00:28:21,000 Speaker 1: don't want to operate a business here anymore. There have 477 00:28:21,200 --> 00:28:23,840 Speaker 1: to be consequence of this. And I'm also gonna say this, peep, 478 00:28:23,920 --> 00:28:27,440 Speaker 1: it's bad. This is something that people don't often think about. 479 00:28:28,040 --> 00:28:32,880 Speaker 1: It's bad for the psychology, it's bad for the emotional health. 480 00:28:32,920 --> 00:28:34,879 Speaker 1: If you want, I really mean this, of the person 481 00:28:35,000 --> 00:28:38,600 Speaker 1: doing the stealing, you're now a thief. And when you 482 00:28:38,680 --> 00:28:41,040 Speaker 1: make a habit of this, you're a criminal. You're a 483 00:28:41,160 --> 00:28:44,120 Speaker 1: person who is a criminal, and you're profiting from this. 484 00:28:45,440 --> 00:28:50,200 Speaker 1: This creates a momentum that goes often beyond just I'm 485 00:28:50,200 --> 00:28:52,440 Speaker 1: filling a bag full of raisers from the right aid. 486 00:28:52,920 --> 00:28:55,360 Speaker 1: It gets worse from there. And this is why in 487 00:28:55,480 --> 00:28:59,360 Speaker 1: New York. Eventually when someone's arrested for a carjacking that 488 00:28:59,520 --> 00:29:02,600 Speaker 1: you know, they they shoot someone in or they anything 489 00:29:02,720 --> 00:29:04,920 Speaker 1: like you find out, oh yeah, they've been arrested, you know, 490 00:29:05,120 --> 00:29:09,520 Speaker 1: twenty times before this. We're not doing people any favors 491 00:29:09,560 --> 00:29:11,720 Speaker 1: by letting them think that crime pays and they can 492 00:29:11,800 --> 00:29:15,800 Speaker 1: get away with it. This is a national plague. This 493 00:29:16,080 --> 00:29:19,120 Speaker 1: needs to stop. Everybody needs to get on the same 494 00:29:19,200 --> 00:29:23,360 Speaker 1: page with stop people from stealing. There must be consequences. 495 00:29:23,840 --> 00:29:28,000 Speaker 1: Hundreds of millions of dollars for target, millions and millions 496 00:29:28,040 --> 00:29:30,200 Speaker 1: of dollars for other businesses and sources. You can't even 497 00:29:30,240 --> 00:29:34,440 Speaker 1: calculate this. It destroys neighborhoods, It brings with it more crime. 498 00:29:34,840 --> 00:29:38,280 Speaker 1: And this is because Democrats live in this fantasy land 499 00:29:38,640 --> 00:29:42,400 Speaker 1: where you know, this is not Les Miserab and people 500 00:29:42,440 --> 00:29:44,960 Speaker 1: are on the streets just wanting a slice of bread 501 00:29:45,040 --> 00:29:47,840 Speaker 1: or they're going to die of you know, TB or whatever. 502 00:29:47,960 --> 00:29:52,640 Speaker 1: That's not what's happening. So it's so frustrating because I've 503 00:29:52,680 --> 00:29:54,720 Speaker 1: seen this and I see the reality of it, and 504 00:29:55,080 --> 00:29:58,560 Speaker 1: it is just it has become fashionable for Libs, fashionable 505 00:29:58,600 --> 00:30:01,800 Speaker 1: for Democrats to ignore this. It is destroying neighborhoods. It 506 00:30:01,960 --> 00:30:05,440 Speaker 1: is destroying businesses all right, Let's switch gears to stamps 507 00:30:05,440 --> 00:30:08,200 Speaker 1: dot com because they can help out your business so much, 508 00:30:08,400 --> 00:30:10,480 Speaker 1: make it so much smoother to operate with all the 509 00:30:11,040 --> 00:30:13,520 Speaker 1: boxes and cards and gifts you're gonna start sending off. 510 00:30:13,680 --> 00:30:15,600 Speaker 1: It's not too late to get your holiday mailing and 511 00:30:15,680 --> 00:30:19,080 Speaker 1: shipping under control with stamps dot Com. Sign up now, 512 00:30:19,360 --> 00:30:22,280 Speaker 1: you'll be printing your own postage in minutes. This can 513 00:30:22,320 --> 00:30:25,520 Speaker 1: be a stress free solution stamps dot Com for every business. 514 00:30:25,920 --> 00:30:29,479 Speaker 1: Ustamps dot com to print postage wherever you do business. 515 00:30:29,680 --> 00:30:31,840 Speaker 1: All you need is a computer and a printer. No 516 00:30:32,040 --> 00:30:34,600 Speaker 1: visits to the post office. When you need a package pickup, 517 00:30:34,680 --> 00:30:37,560 Speaker 1: you can easily schedule through your stamps dot Com dashboard 518 00:30:38,240 --> 00:30:40,920 Speaker 1: and then see the ups or USPS team members show 519 00:30:41,000 --> 00:30:43,440 Speaker 1: up rates are constantly changing them. With stamps dot com 520 00:30:43,600 --> 00:30:46,960 Speaker 1: Switch and Save feature, you can easily compare carriers and 521 00:30:47,160 --> 00:30:48,680 Speaker 1: rates so you know if you're getting the best deal 522 00:30:49,480 --> 00:30:53,360 Speaker 1: this holiday season. Trade late nights for silent nights and 523 00:30:53,480 --> 00:30:56,080 Speaker 1: get started with stamps dot com today. Sign up with 524 00:30:56,160 --> 00:30:58,960 Speaker 1: promo code Clay and Buck for a special offer that 525 00:30:59,040 --> 00:31:02,480 Speaker 1: includes a four week trial, plus free postage and a 526 00:31:02,560 --> 00:31:06,200 Speaker 1: free digital scale, no long term commitments or contracts. Just 527 00:31:06,280 --> 00:31:08,600 Speaker 1: go to stamps dot com, click the microphone at the 528 00:31:08,640 --> 00:31:11,720 Speaker 1: top of the page and enter code Clay and Buck. 529 00:31:14,320 --> 00:31:16,920 Speaker 1: Welcome back to Clay and Buck. Next hour, we'll be 530 00:31:17,040 --> 00:31:22,960 Speaker 1: talking about the border of bits. Plus. The American Bar 531 00:31:23,040 --> 00:31:27,320 Speaker 1: Association is considering today whether to allow law schools to 532 00:31:27,600 --> 00:31:31,040 Speaker 1: drop the lsat the l S at requirement. Why does 533 00:31:31,080 --> 00:31:35,000 Speaker 1: this matter? I will explain it. It's very interesting in 534 00:31:35,600 --> 00:31:38,400 Speaker 1: just a few minutes. First up, we got Martin in 535 00:31:38,960 --> 00:31:43,040 Speaker 1: New York. Mister Martin, how are you, sir? Hey? How 536 00:31:43,080 --> 00:31:46,360 Speaker 1: are you? Um? I was the couple of months back 537 00:31:46,440 --> 00:31:49,000 Speaker 1: in the Brewster home depot. I ended up speaking to 538 00:31:49,080 --> 00:31:51,840 Speaker 1: a couple of the managers and sales associates there. They 539 00:31:51,920 --> 00:31:55,640 Speaker 1: have a one million dollar loss prevention per year in 540 00:31:55,840 --> 00:32:00,160 Speaker 1: loss in set. They're not allowed to chase anyone to 541 00:32:00,240 --> 00:32:03,080 Speaker 1: let everyone walk out. They steal sermer stats from a 542 00:32:03,120 --> 00:32:05,680 Speaker 1: thousand dollars at a clip. They put them into bags 543 00:32:05,720 --> 00:32:10,680 Speaker 1: and walk right out. Yeah, now I know Bruster pretty well. Actually, 544 00:32:10,760 --> 00:32:12,200 Speaker 1: my grandparents used to have a house up in the 545 00:32:12,280 --> 00:32:14,040 Speaker 1: Hudson Valley. I'd go visit them in the summer, so 546 00:32:14,120 --> 00:32:17,000 Speaker 1: I've been through that town many times. And this is 547 00:32:17,080 --> 00:32:19,080 Speaker 1: thanks for calling in Martin. I'm sure all of you 548 00:32:19,200 --> 00:32:21,680 Speaker 1: have similar stories at stores that you know, if you 549 00:32:21,760 --> 00:32:24,600 Speaker 1: talk to the clerks at these places, if they think 550 00:32:24,600 --> 00:32:29,000 Speaker 1: about it, think about the incentives here. I mean, there's 551 00:32:29,040 --> 00:32:31,760 Speaker 1: really something. This is the the self degradation of a 552 00:32:31,840 --> 00:32:39,360 Speaker 1: society at work. When people are incentivized to steal, you 553 00:32:39,480 --> 00:32:43,880 Speaker 1: can make much more walking into a home depot, let's say, 554 00:32:44,360 --> 00:32:47,000 Speaker 1: with a bag and filling it full of stolen goods 555 00:32:47,360 --> 00:32:51,400 Speaker 1: then you will in a week of actually working at 556 00:32:51,480 --> 00:32:55,440 Speaker 1: that store and adding to your community and providing a 557 00:32:55,640 --> 00:33:01,120 Speaker 1: service and being a law abiding, decent person. And so 558 00:33:01,640 --> 00:33:03,520 Speaker 1: what do we do about this? Well, we're told, oh, 559 00:33:03,600 --> 00:33:06,520 Speaker 1: but we don't want people to have, you know, a 560 00:33:06,680 --> 00:33:09,400 Speaker 1: bad record. You know, we don't want people. Isn't it 561 00:33:09,440 --> 00:33:13,920 Speaker 1: fascinating Our society now thinks that people should be fired 562 00:33:14,040 --> 00:33:16,720 Speaker 1: from their jobs in the you know, in their thirties 563 00:33:17,240 --> 00:33:21,239 Speaker 1: if they had a homophobic or a racist tweet when 564 00:33:21,280 --> 00:33:25,640 Speaker 1: they were fourteen. But we are worried about ruining people's 565 00:33:25,680 --> 00:33:29,959 Speaker 1: lives who are repeat criminal offenders by actually letting them 566 00:33:30,040 --> 00:33:34,200 Speaker 1: have a criminal record that it stretches back for years. 567 00:33:34,720 --> 00:33:36,880 Speaker 1: But we just don't want people to know. We don't 568 00:33:36,920 --> 00:33:38,520 Speaker 1: want anybody all to find out, oh look at the 569 00:33:38,560 --> 00:33:41,600 Speaker 1: look at the criminality that's in this person's background. Maybe 570 00:33:41,640 --> 00:33:44,760 Speaker 1: I don't really think that they'd be a great a 571 00:33:44,800 --> 00:33:46,920 Speaker 1: great hiring option for me right now, or whatever the 572 00:33:47,000 --> 00:33:52,480 Speaker 1: case may be. Always trying to make sure that criminality 573 00:33:52,720 --> 00:33:55,320 Speaker 1: is punished as lightly as possible. This is what the 574 00:33:55,400 --> 00:33:58,440 Speaker 1: left believes, and they've gotten their way. I mean, I 575 00:33:58,520 --> 00:34:02,520 Speaker 1: remember growing up in and thinking about how and seeing 576 00:34:02,800 --> 00:34:06,600 Speaker 1: in different shows, you know, people people would be arrested 577 00:34:06,680 --> 00:34:11,680 Speaker 1: for theft. Think about the case at Oberlin College with 578 00:34:12,160 --> 00:34:16,880 Speaker 1: Gibson's Gibson's Bakery. A couple of Oberlin's students tried to steal. 579 00:34:17,719 --> 00:34:20,000 Speaker 1: They just figured we'll walk in, we'll just steal bottles 580 00:34:20,040 --> 00:34:23,120 Speaker 1: of wine and they won't do anything. Well that Stot's 581 00:34:23,160 --> 00:34:26,000 Speaker 1: family owned business. They had a problem with that. So 582 00:34:26,120 --> 00:34:28,000 Speaker 1: they locked the door and they said, we're calling the police, 583 00:34:28,400 --> 00:34:31,400 Speaker 1: and then the college students got physical with them, and 584 00:34:31,560 --> 00:34:34,480 Speaker 1: you know what the college did, instead of being horrified 585 00:34:35,280 --> 00:34:39,280 Speaker 1: that they would have students at a I'm guessing fifty 586 00:34:39,600 --> 00:34:45,920 Speaker 1: five thousand dollars a year private university or university stealing 587 00:34:46,080 --> 00:34:49,759 Speaker 1: from a local business that actually provided catering services to 588 00:34:49,840 --> 00:34:52,919 Speaker 1: the university. Instead of being horrified at that because one 589 00:34:52,960 --> 00:34:57,000 Speaker 1: of the students involved was a minority, they immediately this 590 00:34:57,280 --> 00:35:02,120 Speaker 1: university immediately declared that this small business was racist. Racist. 591 00:35:02,200 --> 00:35:05,040 Speaker 1: How dare you stop people from stealing from you and 592 00:35:05,239 --> 00:35:07,400 Speaker 1: one of them happens to be a minority, therefore you 593 00:35:07,480 --> 00:35:10,760 Speaker 1: are racist? Now, Gibson's I think, got a thirty million 594 00:35:10,800 --> 00:35:17,480 Speaker 1: dollar check completely justified in that, I might add from 595 00:35:17,719 --> 00:35:20,640 Speaker 1: Oberlin University. But you see, this just keeps playing out. 596 00:35:21,520 --> 00:35:24,719 Speaker 1: You know, where are the basics here? Where's right and wrong? 597 00:35:24,880 --> 00:35:28,680 Speaker 1: Where's the most straightforward reality with all of this. Randy 598 00:35:28,800 --> 00:35:31,560 Speaker 1: in Madison, Wisconsin wants to weigh in. Hey, Randy, how 599 00:35:31,640 --> 00:35:35,360 Speaker 1: you doing? Calling from the People's Republic of Dane County 600 00:35:35,480 --> 00:35:39,400 Speaker 1: here real quick. Back in twenty twenty, I find it 601 00:35:39,480 --> 00:35:44,680 Speaker 1: ironic that the Biden administration is pushing for the student 602 00:35:44,920 --> 00:35:49,000 Speaker 1: loan forgiveness, But yet the Biden administration put the moratorium 603 00:35:49,800 --> 00:35:54,239 Speaker 1: in place in twenty twenty, which for landlords, it hurt 604 00:35:54,320 --> 00:35:57,280 Speaker 1: us big time for the fact that if the tenant 605 00:35:57,800 --> 00:36:01,760 Speaker 1: did not apply for the peach pp money, the landlord 606 00:36:02,000 --> 00:36:06,960 Speaker 1: without the landlord could not apply for that PPP money. 607 00:36:07,440 --> 00:36:12,160 Speaker 1: Here in the state of Wisconsin, Governor Evers announcing all 608 00:36:12,200 --> 00:36:15,160 Speaker 1: this money available for PPP for landlords and tenants, and 609 00:36:15,280 --> 00:36:18,920 Speaker 1: it's not it was just for the tenants. Same thing 610 00:36:18,960 --> 00:36:22,839 Speaker 1: with our Dane County executive here. Yeah. No, look, it's 611 00:36:23,080 --> 00:36:26,279 Speaker 1: they just decide they try to unconstitutionally extend this as well. 612 00:36:27,160 --> 00:36:28,800 Speaker 1: Thanks for calling. You know, they're trying to extend the 613 00:36:29,600 --> 00:36:34,279 Speaker 1: emergency still. The emergency powers were not in a COVID emergency, 614 00:36:34,960 --> 00:36:37,200 Speaker 1: but that bid administration doesn't want to give up the power, 615 00:36:37,280 --> 00:36:38,920 Speaker 1: which some of us been warning about it all along. 616 00:36:39,040 --> 00:36:41,800 Speaker 1: Here I was talking more about that, and also the 617 00:36:41,840 --> 00:36:45,759 Speaker 1: New York Times saying something really fascinating. Hey, maybe the 618 00:36:45,920 --> 00:36:49,560 Speaker 1: vaccines aren't going to stop this next wave. Guys just 619 00:36:49,719 --> 00:36:52,359 Speaker 1: putting that out there. Oh, we know it won't