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 --> 00:00:07,600 Speaker 1: Sexton Show podcast. Welcome in our number two Clay Travis 3 00:00:07,600 --> 00:00:10,000 Speaker 1: buck Sexton Show. Appreciate all of you hanging out with 4 00:00:10,080 --> 00:00:12,960 Speaker 1: us as always. Encourage you to go subscribe to the podcast. 5 00:00:13,119 --> 00:00:17,439 Speaker 1: Lots of podcast originals dropping in the feed there that 6 00:00:17,480 --> 00:00:20,079 Speaker 1: you'll be able to choose, as well as listening to 7 00:00:20,360 --> 00:00:23,120 Speaker 1: any different hour of the show if you happen to miss. 8 00:00:23,600 --> 00:00:26,439 Speaker 1: Tens of millions of you are downloading The Clay and 9 00:00:26,520 --> 00:00:30,560 Speaker 1: Buck Show every single month, and we appreciate you guys 10 00:00:30,640 --> 00:00:32,639 Speaker 1: for doing that. Encourage you to go get signed up 11 00:00:32,680 --> 00:00:36,400 Speaker 1: as a part of twenty twenty three. So, unfortunately, we 12 00:00:36,520 --> 00:00:41,199 Speaker 1: had a mass shooting in Los Angeles over the weekend, 13 00:00:42,440 --> 00:00:46,080 Speaker 1: and the mass shooting was committed by a seventy two 14 00:00:46,159 --> 00:00:51,680 Speaker 1: year old Asian man who later committed suicide, and he 15 00:00:51,800 --> 00:00:55,400 Speaker 1: tried to do multiple mass shootings, but there were individuals 16 00:00:55,400 --> 00:00:58,120 Speaker 1: who stood up to him and kept the second mass 17 00:00:58,160 --> 00:01:00,920 Speaker 1: shooting from happening. The most recent number that I have 18 00:01:01,000 --> 00:01:05,360 Speaker 1: seen are that ten Asian people were killed in the 19 00:01:05,600 --> 00:01:11,759 Speaker 1: LA area. This story, I suspect will mostly vanish because 20 00:01:11,920 --> 00:01:16,200 Speaker 1: it does not fit the prevailing Democrat narrative based on 21 00:01:16,240 --> 00:01:18,840 Speaker 1: the weapon that was used, but also based on the 22 00:01:18,840 --> 00:01:21,760 Speaker 1: fact that the shooter was a seventy two year old 23 00:01:21,800 --> 00:01:25,440 Speaker 1: Asian person. And again we try not to name mass 24 00:01:25,480 --> 00:01:29,000 Speaker 1: shooters on this show because in many ways, the mass shooter, 25 00:01:29,080 --> 00:01:31,520 Speaker 1: unless the mass shooter is still at large and we're 26 00:01:31,520 --> 00:01:35,440 Speaker 1: trying to catch him, typically almost always a him, then 27 00:01:36,040 --> 00:01:38,280 Speaker 1: they are doing it to a large extent for the 28 00:01:38,360 --> 00:01:43,360 Speaker 1: media attention they get. But given that this is a shooting, 29 00:01:43,800 --> 00:01:47,600 Speaker 1: not by a white man, not by a Trump supporter, 30 00:01:48,200 --> 00:01:52,680 Speaker 1: this will almost immediately get memory hold. This story will 31 00:01:52,840 --> 00:01:55,640 Speaker 1: vanish because it does not fit the prevailing left wing 32 00:01:55,760 --> 00:02:00,680 Speaker 1: narrative that. However, Buck did not stop many Democrat politicians 33 00:02:01,240 --> 00:02:04,559 Speaker 1: in the immediate aftermath of this shooting, when the shooter 34 00:02:04,640 --> 00:02:06,720 Speaker 1: was still at large and there hadn't yet been a 35 00:02:06,760 --> 00:02:10,800 Speaker 1: description of who that shooter was, there was an immediate 36 00:02:10,919 --> 00:02:15,880 Speaker 1: leap to the idea that this is right wing white men, 37 00:02:16,280 --> 00:02:20,280 Speaker 1: maga enthusiasts who are committing mass shootings. And Buck, you've 38 00:02:20,280 --> 00:02:24,320 Speaker 1: got a few of those Democrat tweets that were out 39 00:02:24,400 --> 00:02:27,480 Speaker 1: there as soon as this story happened. Right away, you 40 00:02:27,600 --> 00:02:32,680 Speaker 1: get Chuck Schumer, for example, with you saying he's heartbroken, 41 00:02:32,680 --> 00:02:36,000 Speaker 1: he's praying for the victims. Totally fine, totally agree, absolutely 42 00:02:36,000 --> 00:02:40,000 Speaker 1: correct response, heartbroken by this horrible tragedy, praying for the victims. 43 00:02:40,480 --> 00:02:43,600 Speaker 1: But then at the bottom, we must stand up to 44 00:02:43,800 --> 00:02:47,519 Speaker 1: bigotry and hate wherever they rear their ugly heads, and 45 00:02:47,680 --> 00:02:50,360 Speaker 1: we must stop, I mean, we must keep working to 46 00:02:50,440 --> 00:02:55,600 Speaker 1: stop gun violence, well, bigotry and hate. It seems that 47 00:02:55,639 --> 00:03:02,000 Speaker 1: this was effectively mass murder spurred by a domestic dispute. 48 00:03:02,000 --> 00:03:03,720 Speaker 1: They think that he was looking for his wife, right, 49 00:03:03,800 --> 00:03:05,560 Speaker 1: and there were some and they think that he went 50 00:03:05,560 --> 00:03:08,280 Speaker 1: into some kind of jealous rage. That's from the authorities. 51 00:03:08,360 --> 00:03:11,000 Speaker 1: And as you pointed out, it's an Asian, middle aged 52 00:03:11,040 --> 00:03:14,520 Speaker 1: Asian American man who did the shooting, so it's not 53 00:03:14,600 --> 00:03:18,720 Speaker 1: a racial hate crime. Adam Schiff though, ten dead and 54 00:03:18,800 --> 00:03:21,240 Speaker 1: Monterey Park I'm sick and right. And then he writes 55 00:03:22,880 --> 00:03:28,680 Speaker 1: with bigotry toward AAPI individuals as a possible motive. Okay, 56 00:03:29,680 --> 00:03:33,120 Speaker 1: I mean anything is a possible motive. Why even bring 57 00:03:33,200 --> 00:03:36,560 Speaker 1: that up? Why not just wait till you have some 58 00:03:36,920 --> 00:03:39,680 Speaker 1: evidence for the motive, Like just because there were people 59 00:03:39,680 --> 00:03:41,520 Speaker 1: who are shot who happened to be of a certain 60 00:03:41,560 --> 00:03:45,960 Speaker 1: ethnicity to jump to that's probably or possibly even why 61 00:03:46,000 --> 00:03:49,920 Speaker 1: they were shot. Seems like a strange thing for California 62 00:03:50,000 --> 00:03:53,400 Speaker 1: congressman to do in this situation, except we know why 63 00:03:53,480 --> 00:03:57,320 Speaker 1: they do this, Clay. The point is score political points, 64 00:03:58,080 --> 00:04:00,600 Speaker 1: stick a thumb in the eye of you know on owners, 65 00:04:00,880 --> 00:04:04,080 Speaker 1: the NRA, you know whomever, and then when the actual 66 00:04:04,080 --> 00:04:06,840 Speaker 1: facts come out, just ignore. So, oh, yeah, I didn't know. 67 00:04:07,240 --> 00:04:09,880 Speaker 1: They do this all the time. Yeah, And the data 68 00:04:10,000 --> 00:04:15,800 Speaker 1: overwhelmingly reflects, and it's worth mentioning all the time. You are, 69 00:04:16,040 --> 00:04:18,120 Speaker 1: if you are going to be a victim of an 70 00:04:18,120 --> 00:04:22,800 Speaker 1: act of violence, especially shootings, murders, things of those nature, 71 00:04:23,680 --> 00:04:27,480 Speaker 1: almost always going to know the person who shoots you 72 00:04:28,160 --> 00:04:33,240 Speaker 1: really well. In other words, true acts of random violence 73 00:04:33,440 --> 00:04:37,840 Speaker 1: are rare in this country. They're also almost always if 74 00:04:37,920 --> 00:04:41,200 Speaker 1: you are white, Asian, Black, Hispanic, whatever your race and 75 00:04:41,240 --> 00:04:44,520 Speaker 1: ethnicity is, you are almost always going to be a 76 00:04:44,600 --> 00:04:48,599 Speaker 1: victim of the same race and ethnicity. So we have 77 00:04:48,720 --> 00:04:55,240 Speaker 1: created this weird kabuki theater style world where the only 78 00:04:55,400 --> 00:05:00,200 Speaker 1: time that shootings get a lot of attention is it 79 00:05:00,240 --> 00:05:03,560 Speaker 1: feels like to me, buck when there is a cross 80 00:05:03,720 --> 00:05:07,680 Speaker 1: racial element to them. Right. So, using it as an example, 81 00:05:07,960 --> 00:05:11,600 Speaker 1: most recent FBI data that I have seen suggests that 82 00:05:11,839 --> 00:05:15,640 Speaker 1: ninety four percent of all black people in the country 83 00:05:15,920 --> 00:05:19,160 Speaker 1: who are murdered are killed by members of their own race. 84 00:05:21,000 --> 00:05:24,800 Speaker 1: So basically, what is that nineteen out of twenty black 85 00:05:24,920 --> 00:05:31,400 Speaker 1: victims would be killed by black perpetrators? Yet how often 86 00:05:31,480 --> 00:05:36,400 Speaker 1: do we hear anything about a black murder by of 87 00:05:36,600 --> 00:05:41,440 Speaker 1: another black person? Almost never. The minute that there is 88 00:05:41,560 --> 00:05:45,440 Speaker 1: a white person involved, it becomes a huge story, and 89 00:05:45,480 --> 00:05:47,760 Speaker 1: you can say, Okay, well, why does that matter? Because 90 00:05:47,800 --> 00:05:52,680 Speaker 1: it sets the perspective out there that the number of 91 00:05:52,839 --> 00:05:58,120 Speaker 1: black victims of white criminals is massive And the reality 92 00:05:58,279 --> 00:06:01,200 Speaker 1: is nineteen out of twenty times when a black person 93 00:06:01,240 --> 00:06:04,000 Speaker 1: dies in this country, they are dying at the hand 94 00:06:04,000 --> 00:06:06,600 Speaker 1: of another black person. Yet how many people out there 95 00:06:06,600 --> 00:06:08,360 Speaker 1: do you think even know that stat buck? I mean 96 00:06:08,400 --> 00:06:11,280 Speaker 1: a tiny percentage, because if you judged it based on 97 00:06:11,320 --> 00:06:13,760 Speaker 1: the media, It's like we talk about the number of 98 00:06:13,760 --> 00:06:16,880 Speaker 1: police shootings period, seventy five percent of all police shootings 99 00:06:17,240 --> 00:06:20,359 Speaker 1: victim is white Asian or Hispanic only twenty five percent 100 00:06:20,360 --> 00:06:23,320 Speaker 1: of the time, or a police shooting victim black. Those 101 00:06:23,320 --> 00:06:26,680 Speaker 1: stats matter, But the way that our narrative shifts in 102 00:06:26,680 --> 00:06:30,320 Speaker 1: this country is creating divisions that are artificial well, the 103 00:06:30,360 --> 00:06:35,840 Speaker 1: shaping of the narrative is very apparent with misperceptions based 104 00:06:35,880 --> 00:06:38,400 Speaker 1: on the numbers and on a whole range of issues. 105 00:06:39,120 --> 00:06:44,480 Speaker 1: For example, the data that shows how many Americans believe 106 00:06:44,640 --> 00:06:47,880 Speaker 1: that that thousands of unarmed black men are killed by 107 00:06:47,880 --> 00:06:50,400 Speaker 1: police every year in this country is staggering. Yeah, I 108 00:06:50,440 --> 00:06:54,200 Speaker 1: mean it's something like, you know, thirty percent or twenty five, 109 00:06:54,320 --> 00:06:56,440 Speaker 1: thirty percent of people think that it's in the thousands. 110 00:06:56,720 --> 00:06:59,320 Speaker 1: And the more reality may be a Democrat, the more 111 00:06:59,360 --> 00:07:01,679 Speaker 1: likely you will leave the furthest thing from the truth. 112 00:07:02,080 --> 00:07:05,200 Speaker 1: That's right, And the Democrats, it's only far leftists that 113 00:07:05,279 --> 00:07:08,560 Speaker 1: have that misperception because of what is constantly being fed 114 00:07:08,600 --> 00:07:12,040 Speaker 1: to them via focus, via repetition, via the tools of 115 00:07:12,080 --> 00:07:18,120 Speaker 1: propaganda that the Democrat apparatus uses so regularly. And another 116 00:07:18,160 --> 00:07:20,920 Speaker 1: issue is what is really going on? We talk about 117 00:07:20,960 --> 00:07:24,760 Speaker 1: crime in major cities, violent crime in major cities. What's 118 00:07:24,800 --> 00:07:29,800 Speaker 1: really happening, Who's actually responsible for a majority of the crime, 119 00:07:29,920 --> 00:07:32,280 Speaker 1: What areas of the city is the crime happening in 120 00:07:32,680 --> 00:07:35,360 Speaker 1: and what can be done to address this to make 121 00:07:35,720 --> 00:07:39,640 Speaker 1: those cities and those neighborhoods safer for everybody. And that 122 00:07:39,680 --> 00:07:44,880 Speaker 1: includes the disproportionate number of minorities, particularly young black men 123 00:07:44,960 --> 00:07:48,400 Speaker 1: who are affected by the high crime rates because of 124 00:07:48,440 --> 00:07:53,280 Speaker 1: the involvement of other young black men in shootings, which 125 00:07:53,280 --> 00:07:55,320 Speaker 1: is what we're really talking about here. We're talking about 126 00:07:55,400 --> 00:07:58,560 Speaker 1: violence in cities across America that is. I mean, look, 127 00:07:58,600 --> 00:08:04,320 Speaker 1: the FBI satistic show that the African American percentage of 128 00:08:04,360 --> 00:08:08,360 Speaker 1: the homicide rate nationwide is over fifty percent, and you're 129 00:08:08,360 --> 00:08:11,480 Speaker 1: talking about about twelve I believe about twelve to fifteen 130 00:08:11,480 --> 00:08:16,160 Speaker 1: percent of the US population is black. So the Democrats 131 00:08:16,240 --> 00:08:19,120 Speaker 1: don't want to actually look at the failure of their policies, 132 00:08:19,200 --> 00:08:22,040 Speaker 1: their beliefs, and their narrative and how it affects all 133 00:08:22,040 --> 00:08:24,960 Speaker 1: of this. And right now, that's why you're starting to 134 00:08:25,000 --> 00:08:28,080 Speaker 1: see for the first time, I think some Democrat mayors 135 00:08:28,080 --> 00:08:31,320 Speaker 1: who they're out of excuses, they're out of options. I mean, 136 00:08:31,360 --> 00:08:33,560 Speaker 1: look in some places, maybe like San Francisco, they're so 137 00:08:33,559 --> 00:08:35,840 Speaker 1: crazy they're never going to figure this out, but they're 138 00:08:35,840 --> 00:08:38,840 Speaker 1: out of options. And so now enforcing the law in 139 00:08:38,920 --> 00:08:42,080 Speaker 1: more meaningful ways becomes the only option unless you just 140 00:08:42,120 --> 00:08:45,520 Speaker 1: expect people to continue to suffer with these incredibly high 141 00:08:45,679 --> 00:08:48,400 Speaker 1: rates of violence and crime. And now people will say, oh, 142 00:08:48,440 --> 00:08:50,480 Speaker 1: it's not incredibly high. Look at that. I love this, dude. 143 00:08:50,480 --> 00:08:53,360 Speaker 1: They're always shifting the goalposts, right, CLA, these cities aren't 144 00:08:53,360 --> 00:08:56,000 Speaker 1: that violent? Okay, well why were they so much less 145 00:08:56,040 --> 00:08:58,920 Speaker 1: violent three years ago? Let's start with that. When you 146 00:08:58,960 --> 00:09:01,480 Speaker 1: have one hundred percent in recent murders, which some of 147 00:09:01,520 --> 00:09:04,120 Speaker 1: these cities have had, I think that's something we're allowed 148 00:09:04,120 --> 00:09:06,760 Speaker 1: to be alarmed about. The fact that, you know, thirty 149 00:09:06,840 --> 00:09:10,000 Speaker 1: years ago it was much worse in some places doesn't 150 00:09:10,000 --> 00:09:12,800 Speaker 1: really matter, right, I mean, if we could have achieved 151 00:09:12,960 --> 00:09:15,800 Speaker 1: such a reduction, why should we give up the gains 152 00:09:15,800 --> 00:09:19,480 Speaker 1: that were made? Because it makes Honestly, overwhelmingly this is 153 00:09:19,480 --> 00:09:23,079 Speaker 1: about white rich liberals feeling good about themselves at CNN 154 00:09:23,320 --> 00:09:26,240 Speaker 1: and the Democrat fancy cocktail parties where they raise the money. 155 00:09:26,600 --> 00:09:28,960 Speaker 1: They feel good about themselves, so they push these policies 156 00:09:28,960 --> 00:09:31,840 Speaker 1: and because it gets them votes. It's also a function 157 00:09:31,880 --> 00:09:34,480 Speaker 1: of how so many people in this country are fraid 158 00:09:34,559 --> 00:09:38,160 Speaker 1: to share actual facts and data because they're afraid of 159 00:09:38,160 --> 00:09:42,319 Speaker 1: being called racist. Right. You mentioned twelve percent of population, 160 00:09:42,400 --> 00:09:46,960 Speaker 1: roughly twelve to thirteen percent is black. Almost all violent crime, 161 00:09:47,240 --> 00:09:51,360 Speaker 1: particularly murders, is committed by men. Right, So you can 162 00:09:51,360 --> 00:09:55,640 Speaker 1: automatically say ninety five percent or more of shootings are 163 00:09:55,720 --> 00:09:59,320 Speaker 1: going to be created by male perpetrators. So, really, when 164 00:09:59,400 --> 00:10:01,520 Speaker 1: you're the data point that you hit as an important one, 165 00:10:01,800 --> 00:10:05,360 Speaker 1: over half of all murders are committed by black people 166 00:10:05,520 --> 00:10:08,720 Speaker 1: in this country, right, and almost all of those murders 167 00:10:08,800 --> 00:10:11,840 Speaker 1: are committed by black men. So you're talking about roughly 168 00:10:11,960 --> 00:10:15,920 Speaker 1: six percent of the population, half of the black population, 169 00:10:16,559 --> 00:10:20,800 Speaker 1: and over fifty percent of the murders in this country 170 00:10:20,800 --> 00:10:23,640 Speaker 1: are being committed by six percent of the population. That's 171 00:10:23,640 --> 00:10:26,600 Speaker 1: pretty significant. And then you can dial it back even 172 00:10:26,679 --> 00:10:31,720 Speaker 1: further and say, hey, most really young men, right like 173 00:10:32,120 --> 00:10:36,000 Speaker 1: under fifteen, and most really old men and I'm not 174 00:10:36,040 --> 00:10:39,720 Speaker 1: even defining old that substantially, but over fifty commit almost 175 00:10:39,760 --> 00:10:43,559 Speaker 1: no crimes, right, So you're really talking about a tiny 176 00:10:43,679 --> 00:10:48,160 Speaker 1: subset of the American population that is committing a huge 177 00:10:48,280 --> 00:10:50,960 Speaker 1: portion of violent crime in this country. Basically, if you know, 178 00:10:51,200 --> 00:10:55,280 Speaker 1: men sixteen to forty commit almost all violent crime in 179 00:10:55,320 --> 00:10:59,560 Speaker 1: this country, and black men sixteen to forty commit almost 180 00:10:59,600 --> 00:11:02,520 Speaker 1: half of all violent crime as it pertains to murders 181 00:11:02,800 --> 00:11:06,320 Speaker 1: in this country, despite representing what three percent of the 182 00:11:06,320 --> 00:11:09,320 Speaker 1: overall population. So the point on this is, and you 183 00:11:09,360 --> 00:11:11,600 Speaker 1: know this from when you worked in the police force, buck, 184 00:11:12,120 --> 00:11:16,120 Speaker 1: the data of who you need to be policing and 185 00:11:16,160 --> 00:11:19,679 Speaker 1: who needs to be protected is not reflecting that your 186 00:11:19,720 --> 00:11:22,800 Speaker 1: average seventy five year old grandma needs to have the 187 00:11:22,840 --> 00:11:24,880 Speaker 1: long arm of the law paying attention to what she's 188 00:11:24,920 --> 00:11:26,960 Speaker 1: doing on a day to day basis. Well. Well, even 189 00:11:27,000 --> 00:11:28,480 Speaker 1: in the case of say New York City, I mean 190 00:11:28,520 --> 00:11:30,920 Speaker 1: I worked in the Intelligence Division of the NYPD. I 191 00:11:30,920 --> 00:11:32,880 Speaker 1: was there on a rotation, so I was never, like, 192 00:11:33,160 --> 00:11:34,960 Speaker 1: you know, a careerist there, but I was there for 193 00:11:34,960 --> 00:11:38,800 Speaker 1: about eighteen months from my time as a CIA analyst. Right, 194 00:11:39,120 --> 00:11:42,120 Speaker 1: So I'm at the NYPD on rotation, and I was 195 00:11:42,160 --> 00:11:44,000 Speaker 1: able to look at and the Intelligence division, which is 196 00:11:44,040 --> 00:11:49,480 Speaker 1: where that is the the surveillance data, number crunching, you know, 197 00:11:49,520 --> 00:11:51,520 Speaker 1: tip of the spear on that stuff, right, Not the 198 00:11:51,840 --> 00:11:54,080 Speaker 1: making arrests and doing that kind of stuff, but in 199 00:11:54,200 --> 00:11:56,719 Speaker 1: terms of the analysis side of the house, that's where 200 00:11:56,760 --> 00:11:58,520 Speaker 1: it's all. That's where it's done at the highest level. 201 00:11:59,200 --> 00:12:01,600 Speaker 1: And what's remarkable play as to your point about how 202 00:12:01,640 --> 00:12:04,520 Speaker 1: when you actually break down the number statistically and you 203 00:12:04,559 --> 00:12:08,000 Speaker 1: look at it, it's even smaller percentage overall of people 204 00:12:08,000 --> 00:12:11,000 Speaker 1: who are committing disproportion number of the crimes, and even 205 00:12:11,040 --> 00:12:15,280 Speaker 1: within let's say you break it down to adult male 206 00:12:15,840 --> 00:12:21,040 Speaker 1: Black population of New York City aged sixteen to forty, 207 00:12:21,080 --> 00:12:25,760 Speaker 1: as you did, within that subset, you're talking about a 208 00:12:25,840 --> 00:12:30,000 Speaker 1: small percentage, very small percentage. You know, I don't know 209 00:12:30,040 --> 00:12:32,679 Speaker 1: if it's you know, two percent or five percent who 210 00:12:32,720 --> 00:12:36,240 Speaker 1: are committing a vast majority of the series of violent crimes. 211 00:12:36,480 --> 00:12:37,840 Speaker 1: So I would I always tell people, as you look 212 00:12:37,880 --> 00:12:40,360 Speaker 1: at New York City, you've got and I'm we're going 213 00:12:40,400 --> 00:12:42,080 Speaker 1: a lot of numbers here, I'm going off hand, but 214 00:12:42,160 --> 00:12:44,600 Speaker 1: you know, the black population New York City is I believe, 215 00:12:44,640 --> 00:12:46,600 Speaker 1: well over a million. I think it's closer close to 216 00:12:46,640 --> 00:12:49,280 Speaker 1: two million. Now, maybe it's one point five something like that. 217 00:12:49,320 --> 00:12:52,360 Speaker 1: It's it's very luck you have a few thousand people, 218 00:12:52,760 --> 00:12:55,240 Speaker 1: and the police are generally generally know and have had 219 00:12:55,280 --> 00:12:59,200 Speaker 1: contact as individuals before a few thousand who are responsible 220 00:12:59,600 --> 00:13:03,240 Speaker 1: for a vast majority of all the serious crime. And 221 00:13:03,320 --> 00:13:07,400 Speaker 1: what the Democrats say is, don't punish those few thousand 222 00:13:07,840 --> 00:13:11,000 Speaker 1: too harshly and allow all of the rest of the 223 00:13:11,080 --> 00:13:15,280 Speaker 1: problems of lack of investment, of you know, this a 224 00:13:15,320 --> 00:13:18,200 Speaker 1: sense of being unsafe on the streets, the psychological toll 225 00:13:18,240 --> 00:13:20,400 Speaker 1: of this, all the victims and all that we have 226 00:13:20,440 --> 00:13:22,480 Speaker 1: to bear that cause as a society because we don't 227 00:13:22,480 --> 00:13:25,280 Speaker 1: want to be too harsh on a couple thousand people. 228 00:13:25,280 --> 00:13:26,880 Speaker 1: I mean, I think the Wallstree Journal going to break 229 00:13:26,880 --> 00:13:29,559 Speaker 1: down up. It's it's an astonishingly small number that are 230 00:13:29,600 --> 00:13:33,160 Speaker 1: responsible for a huge portion of the overall violence. And 231 00:13:33,200 --> 00:13:35,400 Speaker 1: that's what all the criminal justice reforms stuff that we 232 00:13:35,440 --> 00:13:38,040 Speaker 1: see in New York and all the veil reform is 233 00:13:38,040 --> 00:13:40,840 Speaker 1: to make things easier on this very very very small 234 00:13:41,200 --> 00:13:44,000 Speaker 1: group that's committing so much of the overall crime because 235 00:13:44,040 --> 00:13:46,880 Speaker 1: they think this is achieving social justice. Yeah, and it's 236 00:13:46,920 --> 00:13:51,000 Speaker 1: injuste it's unjust. Rather, it's injustice. Yeah, and we know 237 00:13:51,040 --> 00:13:54,480 Speaker 1: how to fix it. And I'm cautiously optimistic that a 238 00:13:54,480 --> 00:13:57,920 Speaker 1: lot of people have finally hit the point of so 239 00:13:58,000 --> 00:14:01,080 Speaker 1: much frustration over the rates of crime that they're going 240 00:14:01,160 --> 00:14:05,120 Speaker 1: to stop pretending that somehow it is in the interest 241 00:14:05,160 --> 00:14:09,240 Speaker 1: of equality and equity to protect violent criminals from being 242 00:14:09,760 --> 00:14:13,079 Speaker 1: forced to pay the consequences for their behavior. It is 243 00:14:13,080 --> 00:14:14,920 Speaker 1: also just amazing. I just have to say this at 244 00:14:14,920 --> 00:14:20,200 Speaker 1: a time when Democrats are gleeful about locking up someone 245 00:14:20,600 --> 00:14:23,960 Speaker 1: like QAnon Shaman for almost four years. Yea, a guy 246 00:14:24,000 --> 00:14:28,760 Speaker 1: with clear mental health issues who hurt physically no one 247 00:14:28,800 --> 00:14:30,920 Speaker 1: and as far as I know, didn't even destroy any property. 248 00:14:31,120 --> 00:14:33,720 Speaker 1: They think that's amazing, and that's a great example of 249 00:14:33,840 --> 00:14:36,280 Speaker 1: the usage of law, enforce and resources. You could look 250 00:14:36,320 --> 00:14:40,040 Speaker 1: at Larry Krasner, the DA in Philadelphia. Oh well, you 251 00:14:40,080 --> 00:14:42,160 Speaker 1: shot at somebody, but you didn't kill them. Let's give 252 00:14:42,160 --> 00:14:45,040 Speaker 1: you another chance. That's the attitude. It's just it's just 253 00:14:45,160 --> 00:14:48,480 Speaker 1: wrong folk. What they've been doing is destroying cities, destroying 254 00:14:48,480 --> 00:14:51,360 Speaker 1: cities like we mentioned, like like New Orleans, and it's 255 00:14:51,440 --> 00:14:53,680 Speaker 1: time that there's a reality check with all of this. 256 00:14:54,760 --> 00:14:56,880 Speaker 1: We also need a reality check with the economy, because 257 00:14:56,880 --> 00:14:58,800 Speaker 1: what's it going to do this year? Who knows. I 258 00:14:58,840 --> 00:15:01,720 Speaker 1: hear different things from different people, rising inflation, of violable 259 00:15:01,800 --> 00:15:05,040 Speaker 1: stock market, all of it is wreaking havoc on retirement accounts. 260 00:15:05,080 --> 00:15:08,200 Speaker 1: There's a lot of economic uncertainty. The Phoenix Capital Groups 261 00:15:08,200 --> 00:15:12,360 Speaker 1: suggests you diversify your investments. 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You know, 277 00:15:58,840 --> 00:16:02,480 Speaker 1: the stuff about crime really hits home, especially for a 278 00:16:02,480 --> 00:16:05,080 Speaker 1: lot of New Yorkers out there when you see these stories. 279 00:16:06,280 --> 00:16:09,600 Speaker 1: Fox News has a weather man, Adam Klotz, who was 280 00:16:09,680 --> 00:16:13,880 Speaker 1: attacked by a group of youths on the subway over 281 00:16:13,880 --> 00:16:17,560 Speaker 1: the weekend. They were harassing and threatening an elderly man. 282 00:16:18,120 --> 00:16:20,840 Speaker 1: So Clots who's thirty seven, steps in just says hey, guys, 283 00:16:20,880 --> 00:16:24,120 Speaker 1: can you knock that off? And they just viciously assault 284 00:16:24,200 --> 00:16:26,680 Speaker 1: him his face is all all mangled here he is 285 00:16:26,720 --> 00:16:28,800 Speaker 1: talking about a play the cut. I'm told they'll probably 286 00:16:28,840 --> 00:16:31,120 Speaker 1: get some sort of a summons and that might be 287 00:16:31,160 --> 00:16:33,400 Speaker 1: the end of it. Does that make you feel you know, 288 00:16:33,960 --> 00:16:36,040 Speaker 1: it's I mean, I want there to be something done. 289 00:16:36,080 --> 00:16:39,680 Speaker 1: It's more like, why is the weather guy on the 290 00:16:39,720 --> 00:16:42,120 Speaker 1: train trying to stop crime in the middle of the night, Like, 291 00:16:42,160 --> 00:16:44,840 Speaker 1: where is Eric Adams? Where's the city? Why am I 292 00:16:44,960 --> 00:16:48,080 Speaker 1: doing this? I can tell you where the city is. Play. 293 00:16:47,840 --> 00:16:50,080 Speaker 1: They caught a few, or there was a group of them. 294 00:16:50,080 --> 00:16:53,160 Speaker 1: They caught four of the However, many were attacking this guy. 295 00:16:53,160 --> 00:16:54,440 Speaker 1: And by the way, I know a lot of people think, oh, 296 00:16:55,360 --> 00:16:59,160 Speaker 1: sixteen four sixteen year olds, you know you're gonna get 297 00:16:59,200 --> 00:17:01,400 Speaker 1: You're gonna get really badly hurt, you know, fighting more 298 00:17:01,440 --> 00:17:03,160 Speaker 1: than one person. I know people tend to think that 299 00:17:03,200 --> 00:17:05,760 Speaker 1: they're going to be more adept in these situations than 300 00:17:05,800 --> 00:17:07,359 Speaker 1: they will. It's really hard to fight off more than 301 00:17:07,359 --> 00:17:10,200 Speaker 1: one attacker, no matter who you are. They did to 302 00:17:10,320 --> 00:17:13,639 Speaker 1: raise the age law change one of the criminal justice changes. 303 00:17:13,640 --> 00:17:16,280 Speaker 1: Clay So, the seventeen year old who bashed in this 304 00:17:16,359 --> 00:17:20,360 Speaker 1: guy's face after threatening to bash in an elderly man 305 00:17:20,359 --> 00:17:22,719 Speaker 1: on the subway, not going to touch him because they 306 00:17:22,800 --> 00:17:25,159 Speaker 1: just changed the law, because you know, let's not be 307 00:17:25,200 --> 00:17:28,160 Speaker 1: too hard on him. Yeah, and this is the whole 308 00:17:28,200 --> 00:17:31,440 Speaker 1: good samaritan aspect. I mean, arguably good for this guy 309 00:17:31,760 --> 00:17:34,320 Speaker 1: for standing up and trying to defend this elderly person. 310 00:17:34,680 --> 00:17:36,400 Speaker 1: But there's a lot of people out there that would 311 00:17:36,440 --> 00:17:39,280 Speaker 1: stay quiet in this scenario because they're afraid they might 312 00:17:39,359 --> 00:17:41,240 Speaker 1: end up dead. Right. I mean, if you try to 313 00:17:41,280 --> 00:17:43,200 Speaker 1: step in and protect somebody in one of these kids 314 00:17:43,200 --> 00:17:45,080 Speaker 1: has a knife for a gun, next thing you know, 315 00:17:45,119 --> 00:17:48,640 Speaker 1: you're dead. And here's even saving somebody. This is even 316 00:17:48,720 --> 00:17:51,680 Speaker 1: scarier in some ways than the basic premise there, Clay. 317 00:17:51,880 --> 00:17:53,960 Speaker 1: What if these kids all attack him and they come 318 00:17:53,960 --> 00:17:56,640 Speaker 1: out and they say he yelled a racial epithet of us. 319 00:17:57,359 --> 00:18:01,160 Speaker 1: You'll have Al Sharpton and the whole machine January protesting 320 00:18:01,200 --> 00:18:02,960 Speaker 1: that these kids were it was not you know, that 321 00:18:03,080 --> 00:18:05,560 Speaker 1: wasn't their fault and it was racism and whatever. They 322 00:18:05,560 --> 00:18:07,639 Speaker 1: didn't do anything. That's that'll be the argument, and a 323 00:18:07,640 --> 00:18:10,320 Speaker 1: lot of the media will immediately believe it. I gotta 324 00:18:10,400 --> 00:18:14,600 Speaker 1: tell you, our natch one natural weather disaster after another, 325 00:18:15,119 --> 00:18:19,160 Speaker 1: sureminder how often we need insurance inside of the house, 326 00:18:19,240 --> 00:18:21,080 Speaker 1: not just for your car, not just for your home, 327 00:18:21,119 --> 00:18:22,959 Speaker 1: not just for your personal insurance, but how about your 328 00:18:22,960 --> 00:18:26,960 Speaker 1: family's food safety and security. We have this three months 329 00:18:27,040 --> 00:18:31,760 Speaker 1: worth of food inside the Travis household, one for each 330 00:18:31,840 --> 00:18:35,439 Speaker 1: of the members of my household. Thanks to my Patriots Supply. 331 00:18:35,520 --> 00:18:37,720 Speaker 1: These medals will last up to twenty five years, and 332 00:18:37,760 --> 00:18:40,480 Speaker 1: they can be stored safely in your home where you 333 00:18:40,480 --> 00:18:42,919 Speaker 1: can easily access them in a time of need. They 334 00:18:42,920 --> 00:18:45,520 Speaker 1: are right in my pantry and you can do what 335 00:18:45,600 --> 00:18:48,000 Speaker 1: I did. Get hooked up with my Patriots Supply, save 336 00:18:48,080 --> 00:18:51,120 Speaker 1: two hundred dollars on your three month emergency food kits 337 00:18:51,400 --> 00:18:53,919 Speaker 1: while you can their in stock. They ship fast and 338 00:18:54,000 --> 00:18:57,359 Speaker 1: free and unmarked boxes. Nobody knows you have food. My 339 00:18:57,680 --> 00:19:01,080 Speaker 1: Patriots Supply dot com. My Patriots Supply dot com. We 340 00:19:01,160 --> 00:19:04,760 Speaker 1: are joined now by Patrick beat David, founder and CEO 341 00:19:05,119 --> 00:19:07,879 Speaker 1: of Value Tainment. He's got a book out, Your Next 342 00:19:07,920 --> 00:19:12,480 Speaker 1: Five Moves Master the Art of Business Strategy. Appreciate you 343 00:19:12,560 --> 00:19:15,439 Speaker 1: joining us, Patrick and Bucket. I have been trying to 344 00:19:15,520 --> 00:19:18,840 Speaker 1: follow the story here of the economy, as I'm sure 345 00:19:18,880 --> 00:19:22,600 Speaker 1: many of our listeners have. As we roll into twenty 346 00:19:22,680 --> 00:19:26,480 Speaker 1: twenty three. What do you see out there on the horizon? 347 00:19:26,600 --> 00:19:28,960 Speaker 1: What do you expect twenty twenty three to look like 348 00:19:29,080 --> 00:19:31,240 Speaker 1: from a business perspective? And thanks for making the time 349 00:19:31,240 --> 00:19:33,919 Speaker 1: for us. Well, first of all, thanks for having me. 350 00:19:33,960 --> 00:19:36,760 Speaker 1: I'll love the work you guys are doing. But yeah, 351 00:19:36,760 --> 00:19:39,680 Speaker 1: I'll give you a couple data points for the listener 352 00:19:39,720 --> 00:19:42,120 Speaker 1: to be thinking about. This is what concerns me. So 353 00:19:42,680 --> 00:19:46,040 Speaker 1: if we're looking at the Biden economy and purely his resume. 354 00:19:46,800 --> 00:19:50,760 Speaker 1: He gives the inauguration speech January twenty to twenty twenty one, 355 00:19:50,840 --> 00:19:54,200 Speaker 1: which is roughly two years ago. To be exact, it's 356 00:19:54,359 --> 00:19:58,240 Speaker 1: three days two years ago. He gets it, gives a 357 00:19:58,320 --> 00:20:02,199 Speaker 1: speech two months later, twenty twenty one. We have the 358 00:20:02,560 --> 00:20:06,560 Speaker 1: one twenty nine trillion relief build that they're very excited about. 359 00:20:07,160 --> 00:20:10,159 Speaker 1: The next couple of months, all we hear about that 360 00:20:10,280 --> 00:20:15,560 Speaker 1: the US savings rate hit twenty six percent. Everybody was celebrating. 361 00:20:15,600 --> 00:20:17,560 Speaker 1: You see how great of an idea this is. We 362 00:20:17,640 --> 00:20:19,720 Speaker 1: got to send more money to the American people. Look 363 00:20:19,720 --> 00:20:22,639 Speaker 1: what's happening. People are not spending their money, They're saving 364 00:20:22,680 --> 00:20:26,600 Speaker 1: their money. Savings rate twenty six percent, which is beautiful. 365 00:20:26,680 --> 00:20:30,480 Speaker 1: Everybody was bragging about it. Well, fast forward to today. 366 00:20:31,240 --> 00:20:35,960 Speaker 1: At that time was twenty six percent. Today, current savings 367 00:20:36,040 --> 00:20:40,480 Speaker 1: rate is the worst it's been in seventeen years. That's 368 00:20:40,480 --> 00:20:43,160 Speaker 1: two point four percent is what we have today. Here's 369 00:20:43,160 --> 00:20:45,760 Speaker 1: another data to be thinking about. Just a year ago 370 00:20:45,880 --> 00:20:48,240 Speaker 1: Q four of last year, so Q four is October 371 00:20:48,359 --> 00:20:52,280 Speaker 1: November December, we had roughly seven hundred and fifty billion 372 00:20:52,320 --> 00:20:56,000 Speaker 1: dollars of credit card debt. Okay, we're talking thirteen months ago. 373 00:20:56,040 --> 00:20:58,959 Speaker 1: That is not a long time ago. We went from 374 00:20:59,000 --> 00:21:01,879 Speaker 1: seven hundred fifty million dollars and credit card debt, so 375 00:21:02,160 --> 00:21:05,280 Speaker 1: nine hundred and twenty six billion dollars in credit card debt. 376 00:21:05,560 --> 00:21:08,119 Speaker 1: We're about to cross a trillion dollars for the first 377 00:21:08,119 --> 00:21:11,120 Speaker 1: time ever in the history of US and credit card debt, 378 00:21:11,119 --> 00:21:14,000 Speaker 1: and everybody's talking about the national debt thirty one trillion. 379 00:21:14,040 --> 00:21:15,280 Speaker 1: You know, a lot of times when people say that 380 00:21:15,320 --> 00:21:18,359 Speaker 1: kind of stuff, the average family and the worker doesn't 381 00:21:18,400 --> 00:21:20,200 Speaker 1: really feel it. They're like, yeah, you know, I can 382 00:21:20,240 --> 00:21:22,720 Speaker 1: go on the death clock and kind of see that website. 383 00:21:22,760 --> 00:21:26,159 Speaker 1: But we definitely do feel the credit card debt in 384 00:21:26,200 --> 00:21:29,840 Speaker 1: ways we've never seen before. So that's one data that 385 00:21:30,000 --> 00:21:34,280 Speaker 1: concerns me tremendously. When you see sales at ninety nine 386 00:21:34,320 --> 00:21:38,080 Speaker 1: cent stores being up eighty percent year over year. That 387 00:21:38,160 --> 00:21:40,760 Speaker 1: means people are no longer going and buying stuff that 388 00:21:40,760 --> 00:21:43,719 Speaker 1: they were at the regular place. They're going to places 389 00:21:43,760 --> 00:21:47,520 Speaker 1: that are discounted. Is a sign that they're not able 390 00:21:47,560 --> 00:21:49,359 Speaker 1: to afford things. And the last, but not least, on 391 00:21:49,400 --> 00:21:52,399 Speaker 1: this topic to be looking at when you're thinking about this. 392 00:21:52,520 --> 00:21:55,440 Speaker 1: So everybody was branking last year about we'll look at this. 393 00:21:55,600 --> 00:21:58,479 Speaker 1: I understand what they're talking about with inflation and what 394 00:21:58,520 --> 00:22:00,919 Speaker 1: they're doing with inflation, but you've got to look at unemployment. 395 00:22:01,119 --> 00:22:03,600 Speaker 1: Look how quat the numbers are at unemployment. Look how 396 00:22:03,640 --> 00:22:05,960 Speaker 1: awesome it is. The economy is doing great. The economy 397 00:22:06,000 --> 00:22:09,640 Speaker 1: is doing great. If that was the SoundBite last year, 398 00:22:10,000 --> 00:22:12,800 Speaker 1: I would love to see them use that same SoundBite 399 00:22:13,200 --> 00:22:16,840 Speaker 1: que three of this year, when unemployment takes a hit, 400 00:22:16,920 --> 00:22:19,800 Speaker 1: they will not be talking about that. So in regards 401 00:22:19,800 --> 00:22:24,399 Speaker 1: to twenty twenty three, unfortunately, it's not looking good. The 402 00:22:24,520 --> 00:22:28,320 Speaker 1: policies are not making the American economy better than it 403 00:22:28,440 --> 00:22:30,960 Speaker 1: was two years ago or three years ago. Hey, Patrick, 404 00:22:31,000 --> 00:22:32,720 Speaker 1: it's buck really appreciate you being with us and for 405 00:22:32,760 --> 00:22:35,440 Speaker 1: everyone you should check out the Pat Patrick Bet David 406 00:22:35,720 --> 00:22:41,200 Speaker 1: Show PbD Show, which is an excellent podcast Patrick, What 407 00:22:41,800 --> 00:22:43,919 Speaker 1: does it mean when you're trying to figure out what 408 00:22:43,960 --> 00:22:46,840 Speaker 1: the indicators would be if things are about to get 409 00:22:46,920 --> 00:22:49,399 Speaker 1: ugly in the economy? You know, what are the worry 410 00:22:49,480 --> 00:22:51,560 Speaker 1: signs you laid out for us? What you gave us 411 00:22:51,600 --> 00:22:54,040 Speaker 1: is the data of where we already are. If we're 412 00:22:54,040 --> 00:22:57,320 Speaker 1: looking out three months, six months and we're going to ahead, 413 00:22:57,400 --> 00:22:59,440 Speaker 1: people are saying we're already in some form of recession. 414 00:22:59,480 --> 00:23:01,800 Speaker 1: But if we go into something more like a Biden depression, 415 00:23:02,040 --> 00:23:06,240 Speaker 1: what are you looking for? Excellent questions? So think about 416 00:23:06,240 --> 00:23:12,280 Speaker 1: it this way. Collectively, beginning of twenty twenty one, US Americans, 417 00:23:12,320 --> 00:23:15,879 Speaker 1: if we put all our networks together, we were roughly 418 00:23:15,920 --> 00:23:18,640 Speaker 1: worth two point one trillion dollars. That's how much cash 419 00:23:18,760 --> 00:23:21,840 Speaker 1: we add, specifically cash, not network. Let me correct that, 420 00:23:22,160 --> 00:23:26,000 Speaker 1: specifically cash. We collectively had two point one trillion dollars 421 00:23:26,000 --> 00:23:29,800 Speaker 1: in cash. Okay, that's Q one of last year. Second 422 00:23:29,840 --> 00:23:33,919 Speaker 1: quarter that dropped from two point one to one point nine, 423 00:23:34,119 --> 00:23:37,080 Speaker 1: third quarter to one point six, and we're getting close 424 00:23:37,119 --> 00:23:40,720 Speaker 1: to one point three trillion dollars of savings. That is, 425 00:23:40,800 --> 00:23:44,480 Speaker 1: losing nearly a trillion dollars of cash in twelve months. 426 00:23:44,480 --> 00:23:47,520 Speaker 1: So what does that mean? Why is that such a concern. 427 00:23:47,720 --> 00:23:51,760 Speaker 1: Here's what it means. Rates went up. I want to say, 428 00:23:51,880 --> 00:23:54,400 Speaker 1: fourteen months ago, not even fourth Yeah, fourteen months ago, 429 00:23:54,440 --> 00:23:57,160 Speaker 1: we could get a nice three percent interest rates. I've 430 00:23:57,200 --> 00:23:59,439 Speaker 1: even got two point eight five or thirty or fixed 431 00:24:00,119 --> 00:24:02,639 Speaker 1: mortgage payment is not a big mortgage payment. You can 432 00:24:02,680 --> 00:24:08,040 Speaker 1: afford that everything was good. Property value hasn't dropped significantly 433 00:24:08,160 --> 00:24:11,560 Speaker 1: yet because people are still sitting on cash. Meaning say 434 00:24:11,600 --> 00:24:14,560 Speaker 1: somebody owns a seven hundred thousand dollars house and it 435 00:24:14,640 --> 00:24:18,040 Speaker 1: was seven hundred thousand dollars fourteen months ago, but they're 436 00:24:18,080 --> 00:24:20,159 Speaker 1: sitting on one hundred thousand dollars of cash, and now 437 00:24:20,160 --> 00:24:23,120 Speaker 1: it's eighty thousand out sixty thousand. Now it's forty five thousand, 438 00:24:23,320 --> 00:24:25,320 Speaker 1: Now it's thirty eight thousand. Now, husband and wife are 439 00:24:25,320 --> 00:24:28,080 Speaker 1: sitting there talking to each other, saying, Babe, we're trying 440 00:24:28,119 --> 00:24:31,359 Speaker 1: to sell this house. No one's biting at seven hundred 441 00:24:31,400 --> 00:24:35,960 Speaker 1: and fifty thousand. Let's lower to seven hundred, let's lower 442 00:24:35,960 --> 00:24:38,280 Speaker 1: to six to fifty. Babe, we may need to sell 443 00:24:38,359 --> 00:24:40,560 Speaker 1: this thing for five to eighty and then boom if 444 00:24:40,640 --> 00:24:42,920 Speaker 1: dumps at five eighty, how do I know that. I'll 445 00:24:42,920 --> 00:24:45,600 Speaker 1: give you a perfect example myself eight months ago. I 446 00:24:45,640 --> 00:24:47,400 Speaker 1: want to look at this local building here in four 447 00:24:47,480 --> 00:24:50,840 Speaker 1: law to doll the owners. It's a multi billion dollar company. 448 00:24:50,880 --> 00:24:52,639 Speaker 1: They kind of want this building to be off their 449 00:24:52,640 --> 00:24:56,199 Speaker 1: balance sheet. There's sixty million dollars into this building. I 450 00:24:56,359 --> 00:24:58,520 Speaker 1: go in. They're like, look, we're trying to get rid 451 00:24:58,560 --> 00:25:02,240 Speaker 1: of it. Buyers don't want to see. We're willing to 452 00:25:02,280 --> 00:25:04,400 Speaker 1: dump it at thirty two million. Guy. I said, I'm 453 00:25:04,400 --> 00:25:07,080 Speaker 1: not paying you thirty two million. I'll offer twenty six million. 454 00:25:07,160 --> 00:25:09,840 Speaker 1: They walk. I get a call this week. This week 455 00:25:09,880 --> 00:25:12,000 Speaker 1: they come up to me and they say, Patrick, we'll 456 00:25:12,000 --> 00:25:13,720 Speaker 1: sell it to you right now for twenty million, but 457 00:25:13,760 --> 00:25:15,440 Speaker 1: we need this thing to get done within four weeks. 458 00:25:15,440 --> 00:25:17,240 Speaker 1: And I said, I'll give you fifteen million dollars for it. 459 00:25:17,520 --> 00:25:21,200 Speaker 1: And they're entertaining the idea. By the way, they're entertaining 460 00:25:21,200 --> 00:25:24,840 Speaker 1: the idea. So if the big money people are willing 461 00:25:24,880 --> 00:25:27,280 Speaker 1: to take those kinds of losses because they want debt 462 00:25:27,400 --> 00:25:30,960 Speaker 1: off the balance sheet, we're about to experience Middle America 463 00:25:31,359 --> 00:25:34,200 Speaker 1: folks who are living in five hundred eight hundred, seven 464 00:25:34,320 --> 00:25:37,120 Speaker 1: hundred thousand dollars homes or million dollar homes. We're gonna 465 00:25:37,160 --> 00:25:39,640 Speaker 1: start seeing people saying, you know, that thing we thought 466 00:25:39,720 --> 00:25:42,000 Speaker 1: was worth a million, maybe it's really only worth eight fifty. 467 00:25:42,080 --> 00:25:44,440 Speaker 1: So that's what's going to be experienced now because people 468 00:25:44,440 --> 00:25:48,480 Speaker 1: are running out of cash. So this is fascinating because 469 00:25:48,520 --> 00:25:50,960 Speaker 1: Buck and I have talked a lot about this. There's 470 00:25:51,000 --> 00:25:53,200 Speaker 1: a lot of people out there who are just staying 471 00:25:53,240 --> 00:25:56,560 Speaker 1: in their homes because they have a three percent mortgage 472 00:25:56,600 --> 00:25:58,200 Speaker 1: or eight and they don't want to have to pay 473 00:25:58,240 --> 00:26:00,800 Speaker 1: six and a half or seven to be able to move. 474 00:26:01,560 --> 00:26:04,560 Speaker 1: And at some point that all starts to add up. 475 00:26:04,560 --> 00:26:07,359 Speaker 1: I think we've had whatever it is, eleven straight months 476 00:26:07,440 --> 00:26:10,399 Speaker 1: of declining home sales and a lot of people, you 477 00:26:10,440 --> 00:26:13,200 Speaker 1: know this, Patrick, huge percentage people out there listening to 478 00:26:13,320 --> 00:26:17,000 Speaker 1: us right now. Their net worth is very often tied 479 00:26:17,119 --> 00:26:20,080 Speaker 1: up into their homes. And in that what you're discussing, 480 00:26:20,320 --> 00:26:22,840 Speaker 1: at least in your head, you get those zero emails 481 00:26:23,200 --> 00:26:25,920 Speaker 1: and the value of your home is higher than what 482 00:26:25,960 --> 00:26:29,239 Speaker 1: you paid, and so psychologically for past few years you've 483 00:26:29,240 --> 00:26:31,000 Speaker 1: been able to use that home as a piggy bank. 484 00:26:31,560 --> 00:26:34,840 Speaker 1: How does this rectify itself? So if what you're talking about, 485 00:26:34,880 --> 00:26:37,600 Speaker 1: people are trying there's a flight to quality, basically a 486 00:26:37,640 --> 00:26:41,439 Speaker 1: flight to cash, how does this spiral. What happens in 487 00:26:41,440 --> 00:26:44,920 Speaker 1: your mind in twenty three as we moved through this year, Well, 488 00:26:44,960 --> 00:26:46,640 Speaker 1: it's not going to be a pretty year. I mean, 489 00:26:46,680 --> 00:26:50,360 Speaker 1: I think everybody. It's funny because when you talk to realtors, 490 00:26:50,440 --> 00:26:53,080 Speaker 1: just the best ways to find out how the industry 491 00:26:53,119 --> 00:26:56,240 Speaker 1: is going to do. Call realtors and ask them, what 492 00:26:56,440 --> 00:26:58,879 Speaker 1: is your indication, what is your prediction of what's going 493 00:26:58,920 --> 00:27:01,080 Speaker 1: to happen to the market in twenty twenty three. Here's 494 00:27:01,080 --> 00:27:05,840 Speaker 1: what they'll say, We're expecting a flat year. If realtors 495 00:27:05,920 --> 00:27:08,359 Speaker 1: who are in the business of being optimistic tell you 496 00:27:08,400 --> 00:27:10,440 Speaker 1: they're expecting a flat year, you know what it means. 497 00:27:10,680 --> 00:27:13,400 Speaker 1: They're expecting twenty to thirty percent drop off, right, because 498 00:27:13,760 --> 00:27:17,280 Speaker 1: typically realtors are always very motivational, very optimistic, very excited. 499 00:27:17,320 --> 00:27:20,920 Speaker 1: So that part is given math. You cannot fight math. 500 00:27:21,680 --> 00:27:24,040 Speaker 1: Math is math. When our savings goes to the levels 501 00:27:24,080 --> 00:27:27,440 Speaker 1: that it goes to, you know, people panic, We don't 502 00:27:27,480 --> 00:27:29,240 Speaker 1: do well when we don't have money in the bank. 503 00:27:29,600 --> 00:27:33,479 Speaker 1: We come from a concerned place. My suggestion and my 504 00:27:33,520 --> 00:27:37,560 Speaker 1: thought is more towards solution. I remember when I was 505 00:27:37,560 --> 00:27:40,640 Speaker 1: working on Morgan Stanley Dean Whider. My first day with them, 506 00:27:40,720 --> 00:27:43,320 Speaker 1: was nine ten oh one. My second day at Morgan 507 00:27:43,359 --> 00:27:45,840 Speaker 1: Stanley Dean Widder was nine to eleven. So we're talking. 508 00:27:46,240 --> 00:27:49,120 Speaker 1: First day, everybody's excited. This is going to be great. 509 00:27:49,160 --> 00:27:52,919 Speaker 1: You're officially a stockbroker. Next day, people are afraid to 510 00:27:52,960 --> 00:27:55,040 Speaker 1: answer the phones. And if you remember when we shut 511 00:27:55,040 --> 00:27:58,280 Speaker 1: down the stock market because they were worried it was 512 00:27:58,320 --> 00:28:00,840 Speaker 1: going to just plunge the next day. And then they 513 00:28:00,840 --> 00:28:04,000 Speaker 1: shut it down. The market was clothed, brokers weren't working. 514 00:28:04,560 --> 00:28:06,040 Speaker 1: I sat there and I said, oh my god, what 515 00:28:06,040 --> 00:28:07,800 Speaker 1: are we going to be doing? So that was kind 516 00:28:07,800 --> 00:28:11,080 Speaker 1: of a case study to see what happened. A documentary 517 00:28:11,119 --> 00:28:15,080 Speaker 1: came out at the time by the former Controller General 518 00:28:15,119 --> 00:28:18,040 Speaker 1: of US, David Walker. He's in it, and then Warren 519 00:28:18,080 --> 00:28:22,920 Speaker 1: buffets in it. And in the documentary a lady asks 520 00:28:22,920 --> 00:28:25,000 Speaker 1: the following question, which is which I think this is 521 00:28:25,000 --> 00:28:29,160 Speaker 1: the most important part. She says, Listen, Warren, I'm a mother, 522 00:28:29,440 --> 00:28:33,120 Speaker 1: I have three kids. I'm so worried. What do I do? 523 00:28:33,240 --> 00:28:36,560 Speaker 1: How do I pay the bills? If America's did is 524 00:28:36,560 --> 00:28:39,480 Speaker 1: at this situation, we owe this much money, here's what's 525 00:28:39,480 --> 00:28:41,480 Speaker 1: going How do I handle myself? I don't know what 526 00:28:41,600 --> 00:28:44,440 Speaker 1: to do and Warren said something very powerful and I'll 527 00:28:44,480 --> 00:28:48,040 Speaker 1: never forget this. The biggest insurance policy the individual can 528 00:28:48,080 --> 00:28:51,120 Speaker 1: have in an economy like this, He says, Listen, there's 529 00:28:51,240 --> 00:28:55,760 Speaker 1: always a demand for experts. There's always a demand for 530 00:28:55,880 --> 00:28:57,880 Speaker 1: people who are very very good at what they do. 531 00:28:57,960 --> 00:29:01,480 Speaker 1: Meaning if somebody is listening to this and this color, 532 00:29:01,560 --> 00:29:03,560 Speaker 1: they're probably like, listen, clay Buck, why do'd you guys 533 00:29:03,600 --> 00:29:06,200 Speaker 1: bring this? Guys depressing right now? He's right, saving is this, 534 00:29:06,320 --> 00:29:09,560 Speaker 1: I'm not optimistic about it. To that color. You have 535 00:29:09,720 --> 00:29:12,800 Speaker 1: to figure out a way to learn and a new 536 00:29:12,880 --> 00:29:15,360 Speaker 1: skill set or two or three or four or five 537 00:29:15,480 --> 00:29:18,400 Speaker 1: or whatever you're in, become an expert in it. Because 538 00:29:18,680 --> 00:29:22,400 Speaker 1: tens of thousands of jobs we're seeing fifty five thousand 539 00:29:22,480 --> 00:29:24,480 Speaker 1: jobs in technology right now, we're not even feeling the 540 00:29:24,560 --> 00:29:26,800 Speaker 1: bed bath and beyond, which many of us have been 541 00:29:26,840 --> 00:29:28,760 Speaker 1: to bed bath and beyond, maybe by a choice, maybe 542 00:29:28,760 --> 00:29:30,680 Speaker 1: by force, they just went bankrupt. There's gonna be a 543 00:29:30,720 --> 00:29:34,080 Speaker 1: lot of stories like that. So the individual, rather than 544 00:29:34,120 --> 00:29:37,920 Speaker 1: sitting there panic in whatever job you're in, do whatever 545 00:29:37,960 --> 00:29:41,000 Speaker 1: you can to become an expert, improve yourself, learn new 546 00:29:41,040 --> 00:29:43,360 Speaker 1: ways of taking care of your customers so you're more 547 00:29:43,400 --> 00:29:46,280 Speaker 1: competitive in the marketplace. That doesn't mean the next twelve 548 00:29:46,320 --> 00:29:47,760 Speaker 1: months is not going to be is going to be 549 00:29:47,840 --> 00:29:51,400 Speaker 1: pretty It doesn't. It just means when this two shell 550 00:29:51,440 --> 00:29:54,120 Speaker 1: path and we're going to twenty twenty four, twenty twenty five, 551 00:29:54,880 --> 00:29:58,600 Speaker 1: by that time you'll be recovered, and then five ten 552 00:29:58,680 --> 00:30:00,920 Speaker 1: years from now, when this happens again, you'll be ready 553 00:30:00,960 --> 00:30:03,880 Speaker 1: for the next crisis. Unfortunately, it's too late. If you 554 00:30:03,920 --> 00:30:06,920 Speaker 1: weren't ready for this one, this is now an indicator 555 00:30:07,000 --> 00:30:09,120 Speaker 1: for us to be prepared for the next one. Check 556 00:30:09,120 --> 00:30:13,680 Speaker 1: out everybody the p b D podcast, Patrick Bet David Patrick. 557 00:30:13,680 --> 00:30:14,959 Speaker 1: We got to have you back for one of our 558 00:30:15,000 --> 00:30:16,880 Speaker 1: long forms because we've got to go to station break 559 00:30:16,880 --> 00:30:18,560 Speaker 1: now because it's radio, but we'd love to talk to 560 00:30:18,600 --> 00:30:20,280 Speaker 1: you on the podcast side. So thank you so much 561 00:30:20,320 --> 00:30:23,120 Speaker 1: for being with us. Thanks fellas, Thank you, Take care, 562 00:30:23,200 --> 00:30:26,000 Speaker 1: boll bye. If you're a gun owner, you should know 563 00:30:26,040 --> 00:30:28,120 Speaker 1: about a great new way of training and keeping your 564 00:30:28,120 --> 00:30:30,120 Speaker 1: skills sharp without getting to the range. 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This product is now 575 00:30:56,840 --> 00:30:59,400 Speaker 1: being used by the Army, Marines and even our special forces. 576 00:30:59,520 --> 00:31:02,479 Speaker 1: It's mill terry grade technology at an affordable price. The 577 00:31:02,480 --> 00:31:04,960 Speaker 1: mantis X is a must have for every going owner 578 00:31:05,000 --> 00:31:07,440 Speaker 1: and it's fun to use too. Have you believe in 579 00:31:07,440 --> 00:31:09,959 Speaker 1: your Second Amendment rights, you must also act on your 580 00:31:09,960 --> 00:31:13,760 Speaker 1: Second Amendment responsibility to be competent in your shooting. Start 581 00:31:13,760 --> 00:31:15,800 Speaker 1: improving your skills today and have some fun while you 582 00:31:15,840 --> 00:31:18,440 Speaker 1: do it with the mantis X. I busted mine out 583 00:31:18,440 --> 00:31:21,680 Speaker 1: over the weekend. I love this thing. Mantis x dot com, 584 00:31:21,840 --> 00:31:26,600 Speaker 1: M A N T I s X dot com. Don't 585 00:31:26,720 --> 00:31:29,600 Speaker 1: miss a minute of Clay in Buck and get behind 586 00:31:29,640 --> 00:31:33,840 Speaker 1: the scene access to special content for members only. Subscribe 587 00:31:33,920 --> 00:31:37,640 Speaker 1: to C and B twenty four to seven. I am 588 00:31:37,720 --> 00:31:39,840 Speaker 1: like a character in the Matrix. Clay is like a 589 00:31:39,920 --> 00:31:45,440 Speaker 1: character in Matrix. Where online in the interwebs space all 590 00:31:45,440 --> 00:31:47,880 Speaker 1: the time looking at stuff, trying to find all the 591 00:31:47,880 --> 00:31:51,239 Speaker 1: most interesting stories and clips and cuts and you know, 592 00:31:51,440 --> 00:31:54,640 Speaker 1: hottakes and you name it. And it is rare that 593 00:31:54,720 --> 00:31:57,920 Speaker 1: I find myself seeing something that has gone totally viral 594 00:31:58,480 --> 00:32:02,360 Speaker 1: where my response is just what the heck is this? 595 00:32:03,160 --> 00:32:05,239 Speaker 1: And I had one of those over the weekend, right. 596 00:32:05,280 --> 00:32:07,200 Speaker 1: I mean, you know, you'll see things that are surprising 597 00:32:07,320 --> 00:32:11,720 Speaker 1: or crazier or whatever in the general news sense. But Clay, 598 00:32:11,760 --> 00:32:14,479 Speaker 1: I came upon something I did not. I had no 599 00:32:14,520 --> 00:32:17,160 Speaker 1: idea this was a thing that even existed. I had 600 00:32:17,200 --> 00:32:20,480 Speaker 1: never heard of this before, and it does, I believe, 601 00:32:21,240 --> 00:32:25,040 Speaker 1: roughly fall into the realm of sport. So I wanted 602 00:32:25,080 --> 00:32:28,840 Speaker 1: to ask you about this. I saw a video of 603 00:32:28,960 --> 00:32:34,280 Speaker 1: like burly dudes standing across like like, you know, what's 604 00:32:34,280 --> 00:32:37,440 Speaker 1: the show Family Feud? Like they're at a family Feud 605 00:32:37,440 --> 00:32:39,480 Speaker 1: podium and they're gonna be like, hey, like things you 606 00:32:39,560 --> 00:32:44,480 Speaker 1: take with you to the store, But instead they are slapping. 607 00:32:44,720 --> 00:32:48,280 Speaker 1: They literally slapping the you know what out of each other. 608 00:32:48,320 --> 00:32:51,560 Speaker 1: They're actually slapping each other as hard as they cat 609 00:32:51,600 --> 00:32:55,640 Speaker 1: across the face. And this is apparently some kind of 610 00:32:55,640 --> 00:33:00,360 Speaker 1: a league. Now it's like MMA, but with slapping only 611 00:33:01,040 --> 00:33:04,640 Speaker 1: what Clay, what is going on? So Dana White, who 612 00:33:04,760 --> 00:33:09,000 Speaker 1: runs the UFC, is behind this, and I believe it 613 00:33:09,000 --> 00:33:11,720 Speaker 1: airs on TBS. It's only been out for a couple 614 00:33:11,720 --> 00:33:14,960 Speaker 1: of weeks now, but you're right, they basically stand. It's 615 00:33:14,960 --> 00:33:17,120 Speaker 1: almost if you remember, I'm sure you do, because a 616 00:33:17,200 --> 00:33:22,080 Speaker 1: nice to the top the arm wrestling competition where they 617 00:33:22,120 --> 00:33:24,440 Speaker 1: stand basically on the little you know, there's a little 618 00:33:24,800 --> 00:33:28,400 Speaker 1: kind of table in between them. And I've watched it 619 00:33:28,440 --> 00:33:30,680 Speaker 1: a little bit because the guys are getting knocked out 620 00:33:30,760 --> 00:33:35,840 Speaker 1: by the slaps. I don't understand how it isn't beyond 621 00:33:36,560 --> 00:33:41,000 Speaker 1: a significant factor who gets to slap first, right, because 622 00:33:42,400 --> 00:33:46,320 Speaker 1: it's like a duel. If you shoot first, you a 623 00:33:46,360 --> 00:33:50,440 Speaker 1: lot of times have an advantage. And if you take 624 00:33:50,560 --> 00:33:53,600 Speaker 1: one of these slaps, even if you aren't knocked down, 625 00:33:54,280 --> 00:33:58,320 Speaker 1: it has to diminish your ability to give as hard 626 00:33:58,320 --> 00:34:01,600 Speaker 1: of a slap back once you've taken one yourself. But 627 00:34:01,640 --> 00:34:04,400 Speaker 1: I mean, I saw a Dan slap for people open 628 00:34:04,440 --> 00:34:07,600 Speaker 1: hand slaps. I saw this because you know, I saw 629 00:34:07,640 --> 00:34:09,239 Speaker 1: this Cliff and I said, wait, is this really a thing? 630 00:34:09,280 --> 00:34:11,799 Speaker 1: And this I didn't know this is a Dana White thing, 631 00:34:11,840 --> 00:34:14,440 Speaker 1: and that it's a league now, But there were some 632 00:34:14,560 --> 00:34:17,200 Speaker 1: guy who was just I mean, the side of his 633 00:34:17,360 --> 00:34:21,239 Speaker 1: face looked like like a pufferfish, like a blowfish, you know, 634 00:34:21,280 --> 00:34:23,600 Speaker 1: like it was just swelling and swelling up. And I'm like, 635 00:34:23,840 --> 00:34:26,200 Speaker 1: and he keeps getting whacked on that side of the face. 636 00:34:26,400 --> 00:34:28,759 Speaker 1: And there's I mean, there's video of some other guy 637 00:34:28,760 --> 00:34:31,359 Speaker 1: who gets knocked out cold and his hands are kind 638 00:34:31,360 --> 00:34:33,120 Speaker 1: of shaking. People are saying that could be a sign 639 00:34:33,160 --> 00:34:37,160 Speaker 1: of neurological damage, Like is this catching on or people 640 00:34:38,040 --> 00:34:41,960 Speaker 1: are people, you know, in enjoying this is what is 641 00:34:42,000 --> 00:34:44,000 Speaker 1: happening in the way. I don't know what the long 642 00:34:44,239 --> 00:34:48,160 Speaker 1: standing success or failure of this will be, but you know, 643 00:34:48,800 --> 00:34:53,200 Speaker 1: one of the great all time business moves was the 644 00:34:53,320 --> 00:34:57,640 Speaker 1: UFC in the nineties was bought for two million dollars 645 00:34:57,680 --> 00:35:01,680 Speaker 1: I believe by the Fatida brothers two million, and then 646 00:35:01,719 --> 00:35:05,799 Speaker 1: they sold it for four billion, if I'm not mistaken, 647 00:35:06,160 --> 00:35:10,160 Speaker 1: to Endeavor, the big Hollywood talent agency. And honestly, it's 648 00:35:10,160 --> 00:35:13,319 Speaker 1: been a super brilliant move by Endeavor to buy it 649 00:35:13,400 --> 00:35:17,399 Speaker 1: for four billion dollars. And the reason why you could 650 00:35:17,440 --> 00:35:20,759 Speaker 1: buy it for two million dollars buck was because at 651 00:35:20,800 --> 00:35:23,000 Speaker 1: that time John McCain and people like him were saying 652 00:35:23,040 --> 00:35:26,160 Speaker 1: that UFC was human cockfighting, and they went and they 653 00:35:26,160 --> 00:35:29,360 Speaker 1: got it, regulated weight classes, all these other things, and 654 00:35:29,400 --> 00:35:32,239 Speaker 1: now the UFC is very much like boxing. When I 655 00:35:32,280 --> 00:35:36,080 Speaker 1: watched this slap fight stuff, I can't help but think 656 00:35:36,480 --> 00:35:41,640 Speaker 1: you're one hit away from basically the sport ending forever, right, 657 00:35:41,719 --> 00:35:45,600 Speaker 1: because if you, I cannot imagine how much you'd have 658 00:35:45,640 --> 00:35:47,879 Speaker 1: to pay me to take one of these slaps from 659 00:35:47,920 --> 00:35:50,600 Speaker 1: these guys, because I think I would. I don't think 660 00:35:50,600 --> 00:35:52,239 Speaker 1: there's an amount of I don't think there's any because 661 00:35:52,239 --> 00:35:54,800 Speaker 1: when you finally people are thinking it's not a slap, 662 00:35:54,880 --> 00:35:57,880 Speaker 1: like a stage slap back in the lap, which was 663 00:35:58,040 --> 00:36:00,680 Speaker 1: not to think of like a like a two hundred 664 00:36:00,719 --> 00:36:03,239 Speaker 1: and eighty pound guy named Oleg who just showed up 665 00:36:03,280 --> 00:36:06,680 Speaker 1: from Siberia who is winding up with the full force 666 00:36:06,719 --> 00:36:09,239 Speaker 1: of his arm and the noise and you can see 667 00:36:09,239 --> 00:36:11,480 Speaker 1: and slow people do these slow motion videos too, where 668 00:36:11,520 --> 00:36:15,560 Speaker 1: the whole face kind of shakes. I mean, it's clay. 669 00:36:15,640 --> 00:36:19,040 Speaker 1: It's the craziest thing I've ever seen that's supposed to 670 00:36:19,040 --> 00:36:22,279 Speaker 1: be somehow kind of normal. Yeah, I don't know whether 671 00:36:22,320 --> 00:36:24,799 Speaker 1: it's going to last because I think it might be 672 00:36:24,880 --> 00:36:28,520 Speaker 1: too vile because at least in the UFC or boxing, 673 00:36:29,000 --> 00:36:31,799 Speaker 1: there is the concept of keeping your gloves up and 674 00:36:31,960 --> 00:36:35,879 Speaker 1: protecting yourself in some way. This is it's a lot 675 00:36:35,920 --> 00:36:38,399 Speaker 1: like dueling because you just have to stand there and 676 00:36:38,480 --> 00:36:40,799 Speaker 1: take it and you just take the punishment. Though. Right 677 00:36:40,840 --> 00:36:43,200 Speaker 1: in UFC, if someone gets you know, if they can't 678 00:36:43,239 --> 00:36:45,600 Speaker 1: defend themselves and they're not you know, they jump in 679 00:36:45,640 --> 00:36:48,040 Speaker 1: and they stop the fight, stop it. Yeah, this is 680 00:36:48,080 --> 00:36:53,360 Speaker 1: just straight up punishment. Oh, it's crazy, it's it's absolutely bananas.