1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,000 Speaker 1: Sexton Show podcast. Welcome back to Clay and Buck. We 3 00:00:08,200 --> 00:00:11,840 Speaker 1: are making sense of all the madness today. What is 4 00:00:11,840 --> 00:00:14,680 Speaker 1: it Tuesday? I sometimes forget the day? Can you do 5 00:00:14,800 --> 00:00:17,680 Speaker 1: enough radio? They do run together a lot, especially in 6 00:00:17,720 --> 00:00:20,240 Speaker 1: the summer when it's chaos and your kids are running 7 00:00:20,239 --> 00:00:23,120 Speaker 1: around like crazy. If you ever hear screaming in the background, 8 00:00:23,239 --> 00:00:26,200 Speaker 1: I promise that it's not someone in peril. It's just 9 00:00:26,280 --> 00:00:31,520 Speaker 1: my kids playing Madden or Fifa or Minecraft or like 10 00:00:31,760 --> 00:00:34,440 Speaker 1: all these different games that are going on downstairs, you know. 11 00:00:34,520 --> 00:00:36,640 Speaker 1: And I've also I've got all these things for the 12 00:00:36,720 --> 00:00:39,839 Speaker 1: wedding to get set up where it looks like we're 13 00:00:39,880 --> 00:00:42,920 Speaker 1: getting married in February, which is pretty a pretty quick 14 00:00:42,920 --> 00:00:46,000 Speaker 1: turnaround as weddings go, as I understand it. But I'm 15 00:00:46,040 --> 00:00:49,400 Speaker 1: just amazed because apparently you could just like go to 16 00:00:49,520 --> 00:00:52,040 Speaker 1: Vegas and get married in a little chapel and it's 17 00:00:52,080 --> 00:00:54,760 Speaker 1: all done, or you could I've got to track down 18 00:00:54,840 --> 00:00:58,280 Speaker 1: like baptismal certificate. I gotta get the Catholic Church. I 19 00:00:58,360 --> 00:01:01,440 Speaker 1: gotta do pre kana do. There's all these things I 20 00:01:01,440 --> 00:01:04,000 Speaker 1: gotta do. I mean, I thought it was just impressed 21 00:01:04,160 --> 00:01:08,520 Speaker 1: the thing that impressed. So I got engaged basically nineteen 22 00:01:08,640 --> 00:01:12,280 Speaker 1: years ago at this time, if I remember correctly, up 23 00:01:12,400 --> 00:01:15,000 Speaker 1: and we're going up there next week. We're gonna be 24 00:01:15,080 --> 00:01:17,840 Speaker 1: up at Mackinaw Island, Michigan, which for people in the 25 00:01:17,840 --> 00:01:21,080 Speaker 1: Midwest who are in the Detroit area Chicago area, if 26 00:01:21,120 --> 00:01:23,839 Speaker 1: you've ever been in northern Michigan in the summer, it's phenomenal. 27 00:01:23,840 --> 00:01:27,360 Speaker 1: So I'm gonna be up close to the Opts, the 28 00:01:27,400 --> 00:01:29,640 Speaker 1: Hamptons of North Michigan would be a way you could 29 00:01:29,640 --> 00:01:34,679 Speaker 1: describe that. Yeah, weather's phenomenal. Um. And so what amazed 30 00:01:34,720 --> 00:01:37,040 Speaker 1: me buck when I got married, because nineteen years ago 31 00:01:37,080 --> 00:01:39,679 Speaker 1: you just got engaged. But when I got engaged, what 32 00:01:39,800 --> 00:01:45,280 Speaker 1: amazed me was the amount of walking knowledge that women 33 00:01:45,840 --> 00:01:49,600 Speaker 1: and their moms all have about weddings. And I knew 34 00:01:49,640 --> 00:01:52,160 Speaker 1: none of it, right, Like about how to plan things, 35 00:01:52,200 --> 00:01:54,520 Speaker 1: about all the detail and you're talking about some of 36 00:01:54,520 --> 00:01:58,400 Speaker 1: the details associated with the church and all those aspects, 37 00:01:58,480 --> 00:02:02,800 Speaker 1: but like the idea of where to have a pre 38 00:02:02,840 --> 00:02:06,320 Speaker 1: wedding dinner, like all of the I knew nothing. And 39 00:02:06,400 --> 00:02:09,200 Speaker 1: it's like women are just walking around, like every woman 40 00:02:09,200 --> 00:02:12,040 Speaker 1: out there listening to us, right now could if we 41 00:02:12,120 --> 00:02:14,239 Speaker 1: opened up phone lines, they could all give us ten 42 00:02:14,280 --> 00:02:17,040 Speaker 1: minutes on every wedding detail. And if you're a guy 43 00:02:17,080 --> 00:02:20,040 Speaker 1: in your twenties or thirties and you've never been engaged before, 44 00:02:20,639 --> 00:02:23,440 Speaker 1: you have almost no comprehension of any of it. It's all, 45 00:02:23,520 --> 00:02:26,760 Speaker 1: it's all totally not in your head at all. I thought, 46 00:02:26,800 --> 00:02:29,800 Speaker 1: it's like, buy the ring. I ask, yes, we go 47 00:02:29,840 --> 00:02:34,720 Speaker 1: to a church, do you do you YEA big kiss, 48 00:02:35,120 --> 00:02:38,480 Speaker 1: buffet dinner now we're married. That is not how this goes. 49 00:02:38,520 --> 00:02:41,359 Speaker 1: I am learning things here. I will tell you too. 50 00:02:41,360 --> 00:02:43,760 Speaker 1: The one of the you learn as you get older. 51 00:02:43,800 --> 00:02:45,960 Speaker 1: There's certain things that you become an expert in for 52 00:02:46,160 --> 00:02:49,160 Speaker 1: very short periods of time. I'll give you one of them. 53 00:02:49,240 --> 00:02:54,000 Speaker 1: The wedding ring purchase process, clarity, carrots, like the three 54 00:02:54,040 --> 00:02:57,240 Speaker 1: c's whatever they call it. I brought in. I brought in. 55 00:02:57,360 --> 00:02:59,600 Speaker 1: I brought in a ringer for that, for the for 56 00:02:59,720 --> 00:03:01,360 Speaker 1: the ring. You see what I did there. I was 57 00:03:01,440 --> 00:03:04,639 Speaker 1: doing my research. I was reading everything online. I had 58 00:03:04,639 --> 00:03:10,320 Speaker 1: my brother's wife's ring gal secretly was mine, and I 59 00:03:10,400 --> 00:03:12,079 Speaker 1: was just like, this is the budget I'm working with, 60 00:03:12,200 --> 00:03:14,560 Speaker 1: make it really pretty. And that was how we so 61 00:03:14,639 --> 00:03:16,760 Speaker 1: I you know, and everyone apparently is like, you did 62 00:03:16,800 --> 00:03:19,280 Speaker 1: a good job. I'm like, did I I'm amazing. I 63 00:03:19,320 --> 00:03:22,120 Speaker 1: know I know nothing about these things. I will say 64 00:03:22,240 --> 00:03:25,760 Speaker 1: you're also in a tough spot because you're fairly established 65 00:03:25,760 --> 00:03:28,239 Speaker 1: in your life. I got engaged when I was twenty 66 00:03:28,280 --> 00:03:30,320 Speaker 1: three or twenty four, whatever the heck I was. I 67 00:03:30,360 --> 00:03:33,960 Speaker 1: had no money. So whatever you're supposed to spend on 68 00:03:33,960 --> 00:03:37,360 Speaker 1: a ring, I did not have the assets to have to. 69 00:03:37,600 --> 00:03:40,040 Speaker 1: I probably need to go buy my wife and brand new, 70 00:03:40,320 --> 00:03:43,080 Speaker 1: impressive ring for our twentieth anniversary here in a couple 71 00:03:43,080 --> 00:03:45,440 Speaker 1: of years. But when you get got a ring guy 72 00:03:45,520 --> 00:03:47,960 Speaker 1: for you? So yeah, if ring guy, I know, I 73 00:03:48,080 --> 00:03:50,800 Speaker 1: just I bet you are going to continue to find 74 00:03:50,800 --> 00:03:53,720 Speaker 1: because you're you're moving fast. If you're getting married efficiently 75 00:03:53,800 --> 00:03:56,120 Speaker 1: in February. Oh yeah, no, no we're not. We're not 76 00:03:56,120 --> 00:03:59,920 Speaker 1: messing around here, folks, making it happen in the honeymoon too. 77 00:04:00,640 --> 00:04:02,680 Speaker 1: Honeymoon's gonna be in February, So you're gonna have to 78 00:04:02,720 --> 00:04:04,560 Speaker 1: hold down the fort here. You're gonna have to keep 79 00:04:04,560 --> 00:04:07,520 Speaker 1: the commies at bay for like a solid week while 80 00:04:07,800 --> 00:04:10,840 Speaker 1: you know. I'm out there. You know, I love getting 81 00:04:10,880 --> 00:04:13,040 Speaker 1: sun and then I'm too tired. When I get too 82 00:04:13,120 --> 00:04:15,000 Speaker 1: much sun. This is what ends up happening. Clay, I 83 00:04:15,040 --> 00:04:17,240 Speaker 1: work out a lot. Now my shoulder hurts. Why does 84 00:04:17,279 --> 00:04:19,320 Speaker 1: my shoulder hurt? I don't know, because I'm forty. This 85 00:04:19,400 --> 00:04:21,480 Speaker 1: is just what's going on these days. You know, I'm 86 00:04:21,560 --> 00:04:24,200 Speaker 1: learning things as I go. Somebody said, how do you 87 00:04:24,200 --> 00:04:26,839 Speaker 1: know when you're getting old? It's a funny line, and 88 00:04:26,880 --> 00:04:29,520 Speaker 1: I can start sometimes feel it. They say, when you 89 00:04:29,600 --> 00:04:33,000 Speaker 1: go to bed feeling great and you wake up feeling 90 00:04:33,080 --> 00:04:36,240 Speaker 1: like crap, that's when you've gotten old. And it's such 91 00:04:36,240 --> 00:04:38,880 Speaker 1: an interesting angle because every now and then doesn't happen 92 00:04:38,880 --> 00:04:40,640 Speaker 1: to me that often. Yet I still think of myself 93 00:04:40,640 --> 00:04:43,200 Speaker 1: as being relatively young. But every now and then I'll 94 00:04:43,240 --> 00:04:45,840 Speaker 1: go to bed feeling great and I will wake up 95 00:04:45,880 --> 00:04:48,080 Speaker 1: and I'll be like, ah, like I have to start 96 00:04:48,200 --> 00:04:50,719 Speaker 1: moving in order to get my body going. I feel 97 00:04:50,720 --> 00:04:54,560 Speaker 1: like crap after just sleeping for a decent night. You 98 00:04:54,560 --> 00:04:56,560 Speaker 1: want to talk about the recession, and that's not coming 99 00:04:56,600 --> 00:04:58,880 Speaker 1: according to the lighthouse for a second, Jean Pierre is 100 00:04:59,360 --> 00:05:02,760 Speaker 1: on the ball. This is amazing. There there's one. There's 101 00:05:02,760 --> 00:05:06,640 Speaker 1: the redefining of recession, out of out of existence, and 102 00:05:07,200 --> 00:05:09,320 Speaker 1: can we even I was thinking about this yesterday. Can 103 00:05:09,320 --> 00:05:12,279 Speaker 1: we even be surprised by this when you think about 104 00:05:12,360 --> 00:05:15,920 Speaker 1: how men can get pregnant? Is now the mantra? Yeah, 105 00:05:15,920 --> 00:05:17,680 Speaker 1: So if they're going to say men can get pregnant, 106 00:05:17,720 --> 00:05:19,760 Speaker 1: I think they can also just change the definition of 107 00:05:20,279 --> 00:05:23,400 Speaker 1: Changing the definition of recession is easy compared to that one. 108 00:05:24,000 --> 00:05:25,400 Speaker 1: That doesn't mean we have to go along with it, 109 00:05:25,440 --> 00:05:28,559 Speaker 1: and of course we won't. But this was particularly fun 110 00:05:29,480 --> 00:05:35,480 Speaker 1: KJP Green, Jean Pierre Um. She is out there saying, 111 00:05:35,680 --> 00:05:40,120 Speaker 1: not only are we not in a recession, we are 112 00:05:40,200 --> 00:05:42,320 Speaker 1: not even in And I will say I had never 113 00:05:42,680 --> 00:05:44,559 Speaker 1: to be fair, I've never even heard this term before. 114 00:05:44,839 --> 00:05:49,320 Speaker 1: We're not even in a pre recession today, that we're 115 00:05:49,360 --> 00:05:51,560 Speaker 1: not going to be in a recession. Why is he 116 00:05:51,760 --> 00:05:55,000 Speaker 1: confident about so? If you look at the economic indicators, 117 00:05:55,960 --> 00:05:59,040 Speaker 1: as a president was laying out, if you look at 118 00:05:59,040 --> 00:06:05,560 Speaker 1: the labor market right now, we are seeing historic, historic unemployment. 119 00:06:05,560 --> 00:06:07,560 Speaker 1: If you look at lowland employment at three point six. 120 00:06:07,600 --> 00:06:10,320 Speaker 1: If you look at the average amount of jobs that 121 00:06:10,360 --> 00:06:13,679 Speaker 1: have been created, it's about four hundred per month. Those 122 00:06:13,720 --> 00:06:17,880 Speaker 1: indicators do not show that we are in a recession 123 00:06:18,000 --> 00:06:23,240 Speaker 1: or even a pre recession, not even in a pre recession. 124 00:06:23,360 --> 00:06:26,640 Speaker 1: Did she say, we're creating four hundred jobs a month. Yes, Also, 125 00:06:26,800 --> 00:06:28,919 Speaker 1: I mean, come on, it's more like three hundred and 126 00:06:28,920 --> 00:06:33,080 Speaker 1: fifty if we're gonna be fair. She doesn't have any 127 00:06:33,320 --> 00:06:38,000 Speaker 1: clue what she's actually saying. A four hundred thousand jobs, 128 00:06:38,040 --> 00:06:41,800 Speaker 1: play four hundred jobs all the same thing, doesn't betting 129 00:06:41,800 --> 00:06:45,440 Speaker 1: that she jotted down four hundred. But she's so clueless 130 00:06:45,520 --> 00:06:48,440 Speaker 1: that she didn't see the k or didn't come across 131 00:06:48,520 --> 00:06:52,080 Speaker 1: on her notes. And again that's a lie. And we've 132 00:06:52,080 --> 00:06:54,720 Speaker 1: been on this for a while. All of the jobs 133 00:06:54,720 --> 00:06:56,880 Speaker 1: and I'm using quotation marks here, people were watching the 134 00:06:56,960 --> 00:06:59,559 Speaker 1: video on YouTube can see this. All of the jobs 135 00:06:59,560 --> 00:07:03,360 Speaker 1: that we've created, Buck are just jobs that people already 136 00:07:03,440 --> 00:07:06,720 Speaker 1: had that they were forced to not be able to 137 00:07:06,839 --> 00:07:10,440 Speaker 1: have when suddenly we went to twenty percent employment because 138 00:07:10,480 --> 00:07:14,240 Speaker 1: we shut down the country. We're still basically not back 139 00:07:14,280 --> 00:07:16,440 Speaker 1: to where we were then. And also, if you look 140 00:07:16,440 --> 00:07:19,680 Speaker 1: at what's going on for the people who are in 141 00:07:19,840 --> 00:07:23,200 Speaker 1: jobs right what is the reality right now? So they're like, oh, 142 00:07:23,200 --> 00:07:25,040 Speaker 1: we've got to look at how low the unemployment rate is, 143 00:07:25,360 --> 00:07:27,760 Speaker 1: a very low labor force participation. As you and I 144 00:07:27,760 --> 00:07:32,720 Speaker 1: have been talking about for weeks, weird problem of inability 145 00:07:32,800 --> 00:07:36,160 Speaker 1: to staff up very like the airlines, for example. You 146 00:07:36,160 --> 00:07:40,720 Speaker 1: know that that's a lot of dis economic dislocations occurring 147 00:07:40,800 --> 00:07:45,040 Speaker 1: right now. But even beyond that, what is the reality 148 00:07:45,080 --> 00:07:49,680 Speaker 1: of somebody right now who has a job and wants 149 00:07:49,720 --> 00:07:52,040 Speaker 1: to be making more money and wants to be able 150 00:07:52,080 --> 00:07:55,920 Speaker 1: to pay their bills. Everything is more expensive. Yes, they're 151 00:07:55,960 --> 00:07:57,800 Speaker 1: making less money now than they were a year ago 152 00:07:57,840 --> 00:08:02,360 Speaker 1: because of inflation. Wages are noteping up with inflation. So people, yeah, 153 00:08:02,400 --> 00:08:05,720 Speaker 1: they may be working, but they're moving in the wrong 154 00:08:05,760 --> 00:08:08,440 Speaker 1: direction in terms of their earning power and their economic 155 00:08:08,520 --> 00:08:13,280 Speaker 1: security relative to the beginning of the Biden administration. It's 156 00:08:13,320 --> 00:08:15,040 Speaker 1: going in the wrong direction, which is why all the 157 00:08:15,080 --> 00:08:17,240 Speaker 1: polls show this, and they just don't have a good 158 00:08:17,240 --> 00:08:20,280 Speaker 1: answer for it, Clay, because the real answer is we 159 00:08:20,400 --> 00:08:22,560 Speaker 1: got idiots in charge who don't know what they're doing. 160 00:08:23,640 --> 00:08:26,200 Speaker 1: We do have idiots in charge. We've got an amazing 161 00:08:26,240 --> 00:08:28,960 Speaker 1: clip that's going to make you laugh. I will one 162 00:08:29,120 --> 00:08:32,160 Speaker 1: almost one guarantee of when we come back as exact 163 00:08:32,360 --> 00:08:37,240 Speaker 1: this is Matt Gates decides sometimes, you know, you're a congressman, 164 00:08:37,280 --> 00:08:39,359 Speaker 1: you just want to take out the flames, the flamethrower, 165 00:08:39,400 --> 00:08:40,960 Speaker 1: so to speak. You just you just want to light 166 00:08:41,000 --> 00:08:44,880 Speaker 1: it up. Folks. You know you're you're you're not taking 167 00:08:45,040 --> 00:08:49,280 Speaker 1: this individual shots. You're taking out the heavy artillery. We'll 168 00:08:49,280 --> 00:08:51,760 Speaker 1: get into that, Matt Gates taking out the big one, 169 00:08:51,960 --> 00:08:54,280 Speaker 1: big guns in a moment here, we'll get to it. 170 00:08:54,720 --> 00:08:58,120 Speaker 1: The effects of inflation every single month. We're talking about 171 00:08:58,120 --> 00:09:00,679 Speaker 1: them constantly because they've had an effect on all of us, 172 00:09:00,960 --> 00:09:04,880 Speaker 1: putting all the everyday expense increases aside. When inflation hovers 173 00:09:04,880 --> 00:09:08,120 Speaker 1: above nine percent each month, that means the dollars you've saved, 174 00:09:08,120 --> 00:09:11,360 Speaker 1: they're worth nine percent less. How you hedge against that, 175 00:09:11,400 --> 00:09:13,680 Speaker 1: so you're not seeing your savings account diminish. Take some 176 00:09:13,760 --> 00:09:16,480 Speaker 1: real planning. When you invest a portion of your savings 177 00:09:16,480 --> 00:09:19,160 Speaker 1: in real gold, you're taking a step in the right direction. 178 00:09:19,559 --> 00:09:22,040 Speaker 1: Gold has been proven overtime to hold its value in 179 00:09:22,080 --> 00:09:25,679 Speaker 1: markets become turbulent and inflation persists. I rely on the 180 00:09:25,720 --> 00:09:29,520 Speaker 1: Oxford Gold Group for gold purchases. Their practical advice and 181 00:09:29,559 --> 00:09:31,800 Speaker 1: the best price and guarantees are two of the reasons 182 00:09:31,800 --> 00:09:33,760 Speaker 1: I like them as much as I do. They've also 183 00:09:33,800 --> 00:09:36,160 Speaker 1: figured a great way to deliver real gold to your 184 00:09:36,160 --> 00:09:39,040 Speaker 1: home on a timely basis, and gold is the key 185 00:09:39,080 --> 00:09:41,800 Speaker 1: to making sure your investments are all on solid footing. 186 00:09:42,120 --> 00:09:45,840 Speaker 1: Call them yourselves to diversify your portfolio. Call the Oxford 187 00:09:45,840 --> 00:09:48,559 Speaker 1: Gold Group today to request your free Precious Metals Investment 188 00:09:48,600 --> 00:09:52,160 Speaker 1: Guide toll free eight three three four zero four Gold 189 00:09:52,360 --> 00:09:56,880 Speaker 1: eight three three four oh four GLD. That's the Oxford 190 00:09:56,920 --> 00:10:03,640 Speaker 1: Gold Group at eight three three four zero four. Walking 191 00:10:03,679 --> 00:10:06,480 Speaker 1: back in claytre Havis buck Sexton Show. Appreciate all of 192 00:10:06,520 --> 00:10:08,559 Speaker 1: you hanging out with us. We roll through the Tuesday 193 00:10:08,720 --> 00:10:12,160 Speaker 1: edition of the program a lot to get to. We're 194 00:10:12,160 --> 00:10:14,319 Speaker 1: gonna be joined in the third hour of the program 195 00:10:14,440 --> 00:10:17,800 Speaker 1: by our friend doctor Marty McCarry, who has been fabulous. 196 00:10:17,840 --> 00:10:22,120 Speaker 1: He's a Johns Hopkins on discussing the data surrounding COVID 197 00:10:22,280 --> 00:10:25,840 Speaker 1: from a medical perspective. Since so many people anytime you 198 00:10:25,880 --> 00:10:29,520 Speaker 1: talk about the data scream you aren't a doctor. True, 199 00:10:30,880 --> 00:10:33,760 Speaker 1: we could have been doctors, I would point out, Buck, 200 00:10:33,800 --> 00:10:35,760 Speaker 1: if you had decided, hey, I want to be a doctor, 201 00:10:35,960 --> 00:10:37,920 Speaker 1: you could have gone to med school and become a doctor. 202 00:10:38,520 --> 00:10:40,600 Speaker 1: If I had decided I wanted to become a doctor, 203 00:10:40,640 --> 00:10:42,520 Speaker 1: I could have gone to med school and become a doctor. 204 00:10:42,840 --> 00:10:45,920 Speaker 1: This is not an impossible thing to achieve. The Blue check. 205 00:10:46,559 --> 00:10:48,319 Speaker 1: It's not as if you said, hey, you're not in 206 00:10:48,440 --> 00:10:51,640 Speaker 1: the NFL All Pro defensive end. Well, I couldn't have 207 00:10:51,760 --> 00:10:54,320 Speaker 1: done that. You know that wasn't gonna happen. I couldn't 208 00:10:54,320 --> 00:10:57,320 Speaker 1: have been a quarterback in the NFL. Could have been 209 00:10:57,320 --> 00:10:58,839 Speaker 1: a doctor, Buck, you could have been a doctor. We 210 00:10:58,880 --> 00:11:01,440 Speaker 1: could have pulled this off. Is it the Virgin Islands 211 00:11:01,559 --> 00:11:04,640 Speaker 1: where people go for the special med school? You know 212 00:11:04,679 --> 00:11:07,120 Speaker 1: what I'm saying. When you don't get the Virgin Islands, 213 00:11:07,120 --> 00:11:09,880 Speaker 1: you're right. When you can't get into a state side 214 00:11:09,960 --> 00:11:13,600 Speaker 1: medical program, you go to the Caribbean. And I can't 215 00:11:13,640 --> 00:11:17,360 Speaker 1: remember which Caribbean island it is, but there are a 216 00:11:17,360 --> 00:11:20,640 Speaker 1: ton of American kids who go away to the Caribbeya. 217 00:11:21,120 --> 00:11:22,800 Speaker 1: We're being told there's a place where a lot of 218 00:11:22,840 --> 00:11:25,480 Speaker 1: Americans go from that's the location. But I know that 219 00:11:25,559 --> 00:11:28,680 Speaker 1: there are a lot of you know, can't get into 220 00:11:28,720 --> 00:11:31,760 Speaker 1: med school kids who go off to Grenada. Nothing wrong 221 00:11:31,800 --> 00:11:36,320 Speaker 1: with that. Caribbean doctoring not awful. I did Caribbean lawyering. 222 00:11:36,679 --> 00:11:40,640 Speaker 1: But the point here is you should trust intelligent people 223 00:11:40,720 --> 00:11:45,920 Speaker 1: to analyze data, even if they don't necessarily have the 224 00:11:46,040 --> 00:11:51,040 Speaker 1: underlying degree. Doesn't mean you can't analyze the data. I mean, 225 00:11:51,080 --> 00:11:53,280 Speaker 1: you can look, let's take it outside of the world 226 00:11:53,559 --> 00:11:57,960 Speaker 1: of being a doctor. You can look at the data 227 00:11:58,000 --> 00:12:00,760 Speaker 1: if you're a baseball fan and figure you're out pretty 228 00:12:00,800 --> 00:12:03,800 Speaker 1: well and pretty easily who the best hitters in Major 229 00:12:03,840 --> 00:12:07,520 Speaker 1: League Baseball are. And the immediate response is isn't Well, 230 00:12:07,640 --> 00:12:09,520 Speaker 1: you don't even have a degree in baseball now, of 231 00:12:09,559 --> 00:12:11,760 Speaker 1: course not. I just look at the stats and then 232 00:12:11,840 --> 00:12:13,800 Speaker 1: decide who I think this best player. Same thing with 233 00:12:13,840 --> 00:12:16,520 Speaker 1: the NFL, same thing with the NBA. This is not complex. 234 00:12:16,559 --> 00:12:19,480 Speaker 1: Sports fans do it all the time. This might terrify 235 00:12:19,559 --> 00:12:21,280 Speaker 1: some people to think about, but I mean, Joe Biden 236 00:12:21,360 --> 00:12:23,800 Speaker 1: is the commander in chief of the United States Military. 237 00:12:24,000 --> 00:12:26,240 Speaker 1: Joe Biden doesn't know a damn thing about the military, 238 00:12:26,320 --> 00:12:30,400 Speaker 1: about combat, about strategy, about tactics, doesn't know any of it. 239 00:12:30,720 --> 00:12:32,880 Speaker 1: But he's a commander in chief. You hope that his 240 00:12:33,480 --> 00:12:39,840 Speaker 1: general I know, wisdom and judgment, energy and ability to 241 00:12:39,920 --> 00:12:44,880 Speaker 1: decipher complicated solutions to difficult problems will push them through. 242 00:12:44,920 --> 00:12:48,280 Speaker 1: But yeah, man, the guys that order Seal Team six 243 00:12:48,400 --> 00:12:51,280 Speaker 1: to go in, Yeah, they're not the best warriors in 244 00:12:51,280 --> 00:12:56,120 Speaker 1: the world. They're deciders. Yes, Ultimately, everybody gets paid This 245 00:12:56,200 --> 00:12:59,720 Speaker 1: is my theory. Take it the bank. You get paid 246 00:13:00,840 --> 00:13:05,920 Speaker 1: ultimately high levels of salary based on your judgment at 247 00:13:05,960 --> 00:13:09,640 Speaker 1: every level. What's a CEO ultimately doing. They put the 248 00:13:09,760 --> 00:13:12,679 Speaker 1: arguments in front of him and he decides which one 249 00:13:12,760 --> 00:13:15,560 Speaker 1: makes the most sense. And so if you're out there 250 00:13:15,640 --> 00:13:18,640 Speaker 1: right now and you're a kid and you're listening to us, 251 00:13:18,960 --> 00:13:22,640 Speaker 1: so I always say, practice your decision making skills, because 252 00:13:22,720 --> 00:13:25,040 Speaker 1: you know, right now don't get to make a choice 253 00:13:25,120 --> 00:13:30,200 Speaker 1: on a variety of different aspects. But practice, put your 254 00:13:30,240 --> 00:13:33,640 Speaker 1: brain through the reps, and then come up with what 255 00:13:33,679 --> 00:13:37,080 Speaker 1: you think is the right choice to make. And over time, 256 00:13:37,120 --> 00:13:39,840 Speaker 1: if you make enough good choices, not all of them 257 00:13:39,840 --> 00:13:41,120 Speaker 1: are gonna be perfect, a lot of them are gonna 258 00:13:41,120 --> 00:13:43,920 Speaker 1: be bad. I once lost fifty thousand dollars buck trying 259 00:13:43,960 --> 00:13:48,000 Speaker 1: to sell pants in the colors of SEC football schools. 260 00:13:48,040 --> 00:13:49,720 Speaker 1: I thought, this is going to be a gold mine. 261 00:13:50,000 --> 00:13:52,360 Speaker 1: I got into the pants selling business. It was a disaster. 262 00:13:52,400 --> 00:13:56,720 Speaker 1: You lost your pants, lost my pants, literally. But over time, 263 00:13:57,360 --> 00:14:00,800 Speaker 1: over time, if you make more good decisions than bad decisions, 264 00:14:00,800 --> 00:14:03,600 Speaker 1: they stack up, and if you make all poor decisions, 265 00:14:03,640 --> 00:14:05,240 Speaker 1: you end up with the Joe Biden president. I was 266 00:14:05,240 --> 00:14:08,199 Speaker 1: gonna say you end up a Democrat not understanding why 267 00:14:08,200 --> 00:14:10,600 Speaker 1: everything is getting worse all the time. Speaking of getting 268 00:14:10,600 --> 00:14:13,199 Speaker 1: worse all the time. I read this piece, I believe 269 00:14:13,240 --> 00:14:16,920 Speaker 1: it was in the Monday edition of the Wall Street 270 00:14:17,000 --> 00:14:20,520 Speaker 1: Journal yesterday. The headline block. I thought this was so 271 00:14:20,560 --> 00:14:23,840 Speaker 1: well done. The author of this opinion piece Sean Kennedy, 272 00:14:24,240 --> 00:14:28,560 Speaker 1: and the headline is, and it's using one particular city 273 00:14:29,120 --> 00:14:32,920 Speaker 1: to try to examine why our violent crime murders in 274 00:14:33,000 --> 00:14:37,440 Speaker 1: particular rate has skyrocketed. And the city that Sean Kennedy 275 00:14:37,520 --> 00:14:40,800 Speaker 1: here analyzes is Baltimore. Have you spent much time there? 276 00:14:41,320 --> 00:14:43,800 Speaker 1: I've spent a lot of time. I've spent a lot 277 00:14:43,840 --> 00:14:45,920 Speaker 1: of time in Baltimore over the yes, because I was 278 00:14:45,960 --> 00:14:51,480 Speaker 1: doing work as a contractor with a financial advisory there. 279 00:14:51,560 --> 00:14:54,400 Speaker 1: Over over years. I actually hosted a podcast that was 280 00:14:54,480 --> 00:14:57,480 Speaker 1: based in you know, for early on was based out 281 00:14:57,480 --> 00:14:59,400 Speaker 1: of Baltimore. So I spent a lot of time in Baltimore. 282 00:15:00,440 --> 00:15:04,520 Speaker 1: It's there are a couple of very very beautiful little 283 00:15:04,680 --> 00:15:07,720 Speaker 1: parts of Baltimore. They do. It's just overall it is 284 00:15:07,760 --> 00:15:13,880 Speaker 1: a shockingly underdeveloped and dangerous city. So I have been 285 00:15:14,600 --> 00:15:17,400 Speaker 1: to a lot of Baltimore. Oriole games back in the day. 286 00:15:17,440 --> 00:15:19,840 Speaker 1: Camden Yards is one of the first kind of throwback 287 00:15:20,160 --> 00:15:22,520 Speaker 1: stadiums I would I went to college in DC and 288 00:15:22,640 --> 00:15:24,320 Speaker 1: DCD at the time. To not have a team, you 289 00:15:24,320 --> 00:15:27,600 Speaker 1: could take the train up to the Orioles games and 290 00:15:27,680 --> 00:15:30,640 Speaker 1: Camden Yards are really cool. And I've been to Army 291 00:15:30,760 --> 00:15:33,600 Speaker 1: Navy a couple of times in the Baltimore area in 292 00:15:33,640 --> 00:15:37,280 Speaker 1: the Baltimore Ravens Stadium. But Baltimore not a safe city, 293 00:15:37,480 --> 00:15:40,280 Speaker 1: and probably for people who don't live on the East Coast. 294 00:15:40,840 --> 00:15:43,800 Speaker 1: If you had to rank cities on the East coast, 295 00:15:44,840 --> 00:15:49,680 Speaker 1: Baltimore last. Philadelphia I think has passed Baltimore, Like if 296 00:15:49,680 --> 00:15:51,760 Speaker 1: you were ranking cities that you were going to live 297 00:15:51,800 --> 00:15:54,600 Speaker 1: in in the Bosny corridor, you know Boston all the 298 00:15:54,600 --> 00:15:56,840 Speaker 1: way down. Look, there's there's some good There are obviously 299 00:15:56,880 --> 00:15:58,720 Speaker 1: good places of every city, right, But if you're talking 300 00:15:58,720 --> 00:16:01,280 Speaker 1: about just on a crime level, Philly had its worst 301 00:16:01,360 --> 00:16:04,920 Speaker 1: every year for murders. Last year. Yeah, I forget the number, 302 00:16:05,000 --> 00:16:06,480 Speaker 1: but I think I want to say it was five 303 00:16:06,560 --> 00:16:08,560 Speaker 1: or six hundred, which for a city of that size 304 00:16:08,640 --> 00:16:10,800 Speaker 1: a lot. Yeah, I might have even been closer to 305 00:16:10,800 --> 00:16:14,520 Speaker 1: seven hundred. At Baltimore is not a big city by population, 306 00:16:14,600 --> 00:16:16,920 Speaker 1: but on a per capita basis, It's usually in the 307 00:16:16,960 --> 00:16:20,520 Speaker 1: top five worst cities in the country for murders, maybe 308 00:16:20,560 --> 00:16:23,800 Speaker 1: top ten, depends on the year. Saint Louis, according to 309 00:16:23,880 --> 00:16:28,600 Speaker 1: the Criminal the Crime Data Specialist, was number one for 310 00:16:28,680 --> 00:16:31,280 Speaker 1: this most recent year, which I didn't realize. Saint Louis was, 311 00:16:31,320 --> 00:16:34,760 Speaker 1: per capita, the highest murder rate in the country. Here's 312 00:16:34,800 --> 00:16:39,280 Speaker 1: my Bosny DC power rankings. Having spent some time in 313 00:16:39,320 --> 00:16:41,400 Speaker 1: all these places. If I had to live, I'd go 314 00:16:41,560 --> 00:16:46,560 Speaker 1: DC one. I'd go Boston two, although I hate winters. 315 00:16:46,680 --> 00:16:49,520 Speaker 1: I think Boston is pretty nice. I'd go New York 316 00:16:49,560 --> 00:16:52,920 Speaker 1: City three, I'd go Philly four, and I would go 317 00:16:53,040 --> 00:16:57,560 Speaker 1: Baltimore five. That's like the Amtrack corridor from Boston all 318 00:16:57,560 --> 00:16:59,680 Speaker 1: the way down, So that would be my power ranking 319 00:16:59,680 --> 00:17:02,000 Speaker 1: in or or one to five. I put Baltimore last, 320 00:17:03,040 --> 00:17:06,800 Speaker 1: so I put DC. But charm City has recorded this 321 00:17:06,840 --> 00:17:11,040 Speaker 1: is I'm reading from this analysis of murders. Baltimore has 322 00:17:11,119 --> 00:17:16,240 Speaker 1: recorded twenty five hundred homicide since twenty fifteen, and according 323 00:17:16,320 --> 00:17:20,199 Speaker 1: to this study, many of these killings I'm reading directly 324 00:17:20,240 --> 00:17:24,240 Speaker 1: from the article could have been prevented if the justice 325 00:17:24,280 --> 00:17:28,000 Speaker 1: system has worked as intended. And he gives a couple 326 00:17:28,000 --> 00:17:32,240 Speaker 1: of specific examples here about guys who are committing murders 327 00:17:32,280 --> 00:17:36,560 Speaker 1: that should have been still behind bars. Baltimore's murders I'm 328 00:17:36,600 --> 00:17:41,080 Speaker 1: reading from this typically committed by criminals with lengthy rap 329 00:17:41,160 --> 00:17:45,439 Speaker 1: sheets who often serve minimal time or are released early. 330 00:17:45,920 --> 00:17:49,679 Speaker 1: These repeat offenders should be locked up, but aren't. And 331 00:17:49,760 --> 00:17:52,760 Speaker 1: he looked at one hundred and ten suspects charged with 332 00:17:52,880 --> 00:17:58,080 Speaker 1: homicide in Baltimore between January of twenty nineteen and July 333 00:17:58,200 --> 00:18:02,560 Speaker 1: of twenty twenty. His analysis found the majority of the 334 00:18:02,640 --> 00:18:07,200 Speaker 1: murders didn't have to happen. Ninety of the defendants ninety 335 00:18:07,400 --> 00:18:11,160 Speaker 1: of the one ten had previously been convicted of an 336 00:18:11,160 --> 00:18:14,639 Speaker 1: offense carrying a sentence of three or more years in 337 00:18:14,680 --> 00:18:19,560 Speaker 1: prison and didn't serve it. So ninety of the hundred 338 00:18:19,640 --> 00:18:23,280 Speaker 1: and ten he looked at, Theoretically, those murders didn't have 339 00:18:23,400 --> 00:18:25,800 Speaker 1: to happen if people have been serving their time behind bars. 340 00:18:25,840 --> 00:18:29,320 Speaker 1: This is the part that everybody all over the country 341 00:18:29,440 --> 00:18:33,000 Speaker 1: needs to know, and I think everyone intuitively and certainly 342 00:18:33,000 --> 00:18:36,480 Speaker 1: our audience knows this. But if you were to do 343 00:18:36,560 --> 00:18:43,080 Speaker 1: a deep dive in Houston, in Phoenix, in Baltimore, as 344 00:18:43,160 --> 00:18:46,960 Speaker 1: we had just discussed in DC. Find me a city 345 00:18:47,000 --> 00:18:52,720 Speaker 1: that has had a substantial in New York, clearly Milwaukee. 346 00:18:52,800 --> 00:18:55,679 Speaker 1: I'm here, Milwaukee, we Milwaukee. Find me a city with 347 00:18:55,720 --> 00:18:58,359 Speaker 1: a substantial increase in murders. You do in the last 348 00:18:58,359 --> 00:19:00,720 Speaker 1: few years, you do an analysis of what has been 349 00:19:00,760 --> 00:19:05,440 Speaker 1: going on. They're the progressive prosecutors. Marilyn Mosby's one of them. 350 00:19:05,440 --> 00:19:09,880 Speaker 1: Progressive prosecutors who promised to end mass incarceration have been 351 00:19:10,359 --> 00:19:14,640 Speaker 1: systematically thwarting the will of the people, as expressed through 352 00:19:14,680 --> 00:19:18,959 Speaker 1: their state legislatures when it comes to what kind of 353 00:19:19,000 --> 00:19:22,840 Speaker 1: punishment people should get for doing the bad things. Yes, 354 00:19:23,000 --> 00:19:25,679 Speaker 1: the logic of the or the lack of logic in 355 00:19:25,680 --> 00:19:28,680 Speaker 1: a sense, but the argument of the mass end mass 356 00:19:28,680 --> 00:19:31,800 Speaker 1: incarceration people is we just need to have fewer people 357 00:19:31,840 --> 00:19:35,040 Speaker 1: in prison. What that has meant is that people who 358 00:19:35,080 --> 00:19:39,280 Speaker 1: should be serving real prison terms end up getting almost 359 00:19:39,320 --> 00:19:43,080 Speaker 1: no prison And the way they get around the state 360 00:19:43,119 --> 00:19:48,240 Speaker 1: mandatory minimums for things like armed robbery or attempted murderer 361 00:19:48,840 --> 00:19:53,160 Speaker 1: is these prosecutors give them plea deals that don't even 362 00:19:53,240 --> 00:19:56,919 Speaker 1: list the real charges they should be. It's not even okay, 363 00:19:56,920 --> 00:19:59,880 Speaker 1: you're you're going away for attempted murder will give you 364 00:20:00,200 --> 00:20:02,840 Speaker 1: five years you could get fifteen. That's what people think 365 00:20:02,840 --> 00:20:06,000 Speaker 1: of US plea deal. What they're doing is mos be 366 00:20:08,359 --> 00:20:12,280 Speaker 1: brag here in New York, gascone in Los Angeles. Oh, 367 00:20:12,400 --> 00:20:16,320 Speaker 1: you're a gang member who tried to kill somebody over 368 00:20:16,440 --> 00:20:18,679 Speaker 1: like a turf woar or something. We're not even going 369 00:20:18,720 --> 00:20:22,000 Speaker 1: to charge you for attempting. We'll charge you for drug 370 00:20:22,040 --> 00:20:26,040 Speaker 1: possession and illegal weapons possession and give you six months 371 00:20:26,080 --> 00:20:29,160 Speaker 1: instead of the five or ten years that you should get, 372 00:20:29,160 --> 00:20:32,639 Speaker 1: which is exactly what the Baltimore analysis you're talking about shows, 373 00:20:32,880 --> 00:20:35,200 Speaker 1: and it's such a great deep dive. I would encourage 374 00:20:35,200 --> 00:20:37,080 Speaker 1: you guys to go read this article. We're kind of 375 00:20:37,080 --> 00:20:40,560 Speaker 1: giving you the details. But what it brings Homebuck is 376 00:20:40,600 --> 00:20:44,080 Speaker 1: there are two things we can one billion percent do 377 00:20:44,720 --> 00:20:48,520 Speaker 1: that should and would immediately start to reverse the violent 378 00:20:48,560 --> 00:20:52,040 Speaker 1: crime epidemic that is sweeping through our entire nation. One, 379 00:20:52,200 --> 00:20:55,680 Speaker 1: and this is getting scary. Get more cops back out 380 00:20:55,720 --> 00:20:58,959 Speaker 1: on the streets, because not only are we losing cops 381 00:20:59,000 --> 00:21:02,080 Speaker 1: for retirement and losing cops who were deciding, we're not 382 00:21:02,119 --> 00:21:04,840 Speaker 1: getting supported by all of the apparatus of the city 383 00:21:04,880 --> 00:21:09,359 Speaker 1: surrounding here, and therefore we're having issues actually hiring anybody 384 00:21:09,400 --> 00:21:11,800 Speaker 1: competent who wants to be a police officer. Right now, 385 00:21:11,800 --> 00:21:14,560 Speaker 1: we're losing the veterans, and this is gonna make things worse. 386 00:21:14,560 --> 00:21:16,560 Speaker 1: But we got to get more cops, and we got 387 00:21:16,560 --> 00:21:18,400 Speaker 1: to support them and let them do their jobs. And 388 00:21:18,440 --> 00:21:20,199 Speaker 1: then this goes to the direct point here on the 389 00:21:20,200 --> 00:21:23,920 Speaker 1: Baltimore study. Violent criminals. We have to put them in prison, 390 00:21:23,960 --> 00:21:25,520 Speaker 1: and we have to throw away the key. We gotta 391 00:21:25,560 --> 00:21:27,639 Speaker 1: do it. I'm sorry, we got to go back strikes 392 00:21:27,640 --> 00:21:30,120 Speaker 1: and you're out put them out forever. You gotta lock 393 00:21:30,240 --> 00:21:34,720 Speaker 1: up criminals, folks. Yes, you gotta have people who understand 394 00:21:35,200 --> 00:21:37,760 Speaker 1: that if they're going to prey on the innocent, if 395 00:21:37,760 --> 00:21:40,400 Speaker 1: they're going to hold guns to people's faces and say 396 00:21:40,400 --> 00:21:42,119 Speaker 1: give me all the money out of the register, or 397 00:21:42,119 --> 00:21:45,159 Speaker 1: I'm going to murder you right here, you don't get it. 398 00:21:45,200 --> 00:21:48,119 Speaker 1: You don't get another chance in that in terms of oh, well, 399 00:21:48,520 --> 00:21:50,800 Speaker 1: you know, we're just gonna maybe give you six months 400 00:21:51,160 --> 00:21:54,280 Speaker 1: and then you'll be out again. It's you served ten years. 401 00:21:54,480 --> 00:21:57,359 Speaker 1: Your second chance comes after you've served your ten years. Yeah, 402 00:21:57,480 --> 00:22:01,640 Speaker 1: they have abandoned this logic. They have the Progressive Prosecutors 403 00:22:01,640 --> 00:22:06,560 Speaker 1: and the Democrat Party because they're so terrified, terrified of 404 00:22:07,040 --> 00:22:09,600 Speaker 1: not seeming to do enough on what they claim is 405 00:22:09,600 --> 00:22:14,800 Speaker 1: the racial injustice of the criminal justice system. They've decided 406 00:22:14,840 --> 00:22:18,119 Speaker 1: that we're just not going to lock up criminals, irrespective 407 00:22:18,160 --> 00:22:20,840 Speaker 1: of what that does to society and what we're just 408 00:22:20,880 --> 00:22:23,399 Speaker 1: going to let criminals. It's such a small and this 409 00:22:23,440 --> 00:22:26,920 Speaker 1: is the other thing about the about the Baltimore analysis, Clay, 410 00:22:27,280 --> 00:22:30,520 Speaker 1: it's such a small group of people that are doing 411 00:22:30,560 --> 00:22:34,399 Speaker 1: this so effectively. What the Democrat mindset has become is 412 00:22:35,040 --> 00:22:37,960 Speaker 1: if there are let's say, in a in a city 413 00:22:39,000 --> 00:22:44,120 Speaker 1: where where there's a minority population that's thirty or forty percent. 414 00:22:44,560 --> 00:22:46,320 Speaker 1: In Baltimore, it's more like fifty or sixty percent of 415 00:22:46,359 --> 00:22:47,920 Speaker 1: the city might even be higher than that, maybe sixty 416 00:22:48,000 --> 00:22:51,639 Speaker 1: or seventy, but one percent of the people within that 417 00:22:51,680 --> 00:22:54,600 Speaker 1: minority population are committing all of the violent crimes. Yes, 418 00:22:55,119 --> 00:22:58,880 Speaker 1: you can either protect the ninety nine percent who want 419 00:22:58,920 --> 00:23:01,080 Speaker 1: to live their lives, of their jobs or whatever, or 420 00:23:01,160 --> 00:23:03,479 Speaker 1: you can say, well, if if there's a disparate impact 421 00:23:03,520 --> 00:23:07,040 Speaker 1: on that one percent within the minority community, that seems 422 00:23:07,119 --> 00:23:09,280 Speaker 1: racist to us, so we won't actually enforce the laws. 423 00:23:09,320 --> 00:23:12,119 Speaker 1: And that's what they've done, and people are suffering, and 424 00:23:12,480 --> 00:23:16,080 Speaker 1: the minority communities are overwhelmingly saying, give us more police, 425 00:23:16,480 --> 00:23:19,680 Speaker 1: and they are now arguing across they are now arguing, 426 00:23:19,800 --> 00:23:23,600 Speaker 1: I think increasingly, put violent perpetrators behind bars and keep 427 00:23:23,640 --> 00:23:25,440 Speaker 1: them there so my kids and my family is safe 428 00:23:25,440 --> 00:23:27,119 Speaker 1: and buck. We'll talk about this maybe when we come back, 429 00:23:27,119 --> 00:23:30,600 Speaker 1: because it's in New York City. The viral videos of 430 00:23:30,680 --> 00:23:36,520 Speaker 1: disrespect for police and the attack basically on an officer 431 00:23:36,600 --> 00:23:39,760 Speaker 1: that happened a fistfight where this guy who was jumping 432 00:23:39,760 --> 00:23:44,080 Speaker 1: over the turnstile it gets stopped and has no respect 433 00:23:44,119 --> 00:23:47,320 Speaker 1: at all for the officer that's trying tumbling an officer's face. 434 00:23:47,400 --> 00:23:49,520 Speaker 1: It's on video, you can see it. Remember, the NYPD 435 00:23:50,200 --> 00:23:53,879 Speaker 1: has a sixteen year old who is just wailing on 436 00:23:53,920 --> 00:23:55,960 Speaker 1: his face as hard as he can against this cop. 437 00:23:56,000 --> 00:23:58,320 Speaker 1: And you know, people are always saying, oh, well, the cops. 438 00:23:58,359 --> 00:24:00,199 Speaker 1: You know, maybe if we train them more guys. Not 439 00:24:00,240 --> 00:24:03,000 Speaker 1: every cop is going to be, you know, an MMA fighter, Okay, 440 00:24:03,040 --> 00:24:05,120 Speaker 1: I mean they're not supposed to have to be able 441 00:24:05,119 --> 00:24:08,080 Speaker 1: to trade fists with everybody and come out without a scratch. 442 00:24:08,480 --> 00:24:10,199 Speaker 1: We'll talk a little bit about that coming up here 443 00:24:10,240 --> 00:24:13,639 Speaker 1: in a second, because it is so important and we 444 00:24:13,760 --> 00:24:17,440 Speaker 1: keep saying this, Democrats need to pay a price for 445 00:24:17,480 --> 00:24:20,639 Speaker 1: what they've done. They have made They've made decisions, and 446 00:24:20,720 --> 00:24:23,239 Speaker 1: those decisions have led to They've led to a lot 447 00:24:23,280 --> 00:24:27,560 Speaker 1: of people dying. Actually, that's the reality of it. Let's 448 00:24:27,560 --> 00:24:29,960 Speaker 1: turn our minds for a second here too, what's going 449 00:24:30,000 --> 00:24:32,440 Speaker 1: on with the economy. We gotta be mindful of how 450 00:24:32,480 --> 00:24:35,320 Speaker 1: far our dollars are going. There's the mandatory expenses and 451 00:24:35,359 --> 00:24:38,879 Speaker 1: the optional ones. Your home mortgage goes into the mandatory category, 452 00:24:38,880 --> 00:24:42,760 Speaker 1: and most often it's our single biggest monthly expense. If 453 00:24:42,760 --> 00:24:45,320 Speaker 1: that's the case, with you do everything you can to 454 00:24:45,359 --> 00:24:47,680 Speaker 1: make sure that mortgage payment is as low as possible. 455 00:24:48,080 --> 00:24:50,240 Speaker 1: You might find that with the increased equity in your home, 456 00:24:50,280 --> 00:24:52,840 Speaker 1: you can make adjustments to your mortgage to benefit your 457 00:24:52,840 --> 00:24:56,040 Speaker 1: monthly budget. American Financing is the company to do that 458 00:24:56,119 --> 00:25:00,240 Speaker 1: with their free mortgage review is so helpful. That's because 459 00:25:00,240 --> 00:25:02,000 Speaker 1: in a very short amount of time, I mean like 460 00:25:02,119 --> 00:25:05,160 Speaker 1: ten minutes on the phone, they'll get you a very 461 00:25:05,200 --> 00:25:08,840 Speaker 1: accurate financial picture from your home, loans, your equity, They'll 462 00:25:08,840 --> 00:25:10,840 Speaker 1: review it all with you, and they'll do everything they 463 00:25:10,920 --> 00:25:13,960 Speaker 1: can to help you save up to a thousand dollars 464 00:25:13,960 --> 00:25:15,840 Speaker 1: a month. Think of the difference that can make in 465 00:25:15,840 --> 00:25:18,560 Speaker 1: your monthly budget, even if your credit isn't great. Just 466 00:25:18,680 --> 00:25:21,200 Speaker 1: call them and see what they can do. It only 467 00:25:21,240 --> 00:25:24,640 Speaker 1: takes ten minutes to learn more when you call American 468 00:25:24,680 --> 00:25:28,680 Speaker 1: Financing eight hundred seven seven seven eighty one O nine. 469 00:25:28,720 --> 00:25:33,440 Speaker 1: That's eight hundred seven seven seven eight one zero nine, 470 00:25:33,560 --> 00:25:37,199 Speaker 1: Or visit American Financing dot net and MS one eight 471 00:25:37,240 --> 00:25:39,800 Speaker 1: two three three four and I'm les Consumer access dot org. 472 00:25:42,240 --> 00:25:44,880 Speaker 1: Welcome back to play Trobits buck Sexton Show. We told 473 00:25:44,920 --> 00:25:47,400 Speaker 1: you no parents are getting the COVID shot for their 474 00:25:47,480 --> 00:25:50,679 Speaker 1: kids six months to five years old. I saw this 475 00:25:50,720 --> 00:25:52,240 Speaker 1: and I thought it was funny. Our staff did a 476 00:25:52,240 --> 00:25:56,840 Speaker 1: great job of pulling it. CNN's Brianna Keller says she 477 00:25:56,960 --> 00:25:59,280 Speaker 1: had no idea that she was the only person who 478 00:25:59,320 --> 00:26:02,360 Speaker 1: was actually her kid the COVID shot. Listen to how 479 00:26:02,359 --> 00:26:04,720 Speaker 1: to touch and out. Remember ninety eight percent of parents 480 00:26:04,760 --> 00:26:07,280 Speaker 1: are choosing not to get their six month to five 481 00:26:07,359 --> 00:26:10,160 Speaker 1: year olds to COVID shot. Listen to this totally anecdotal. 482 00:26:10,480 --> 00:26:13,000 Speaker 1: I was about a week into the process of getting 483 00:26:13,000 --> 00:26:14,960 Speaker 1: my four year old vaccinated, and when we went I 484 00:26:15,000 --> 00:26:17,240 Speaker 1: found out he was the first person at the pharmacy 485 00:26:17,280 --> 00:26:19,720 Speaker 1: of his age. Wow, to get the vaccine. I was 486 00:26:19,760 --> 00:26:23,879 Speaker 1: floored by that. Oh gosh, floored by floored by my 487 00:26:24,000 --> 00:26:26,800 Speaker 1: anxiety disorder that's making me get kids who don't need 488 00:26:26,800 --> 00:26:29,600 Speaker 1: the shot. The shot, what a what a surprise. Ninety 489 00:26:29,600 --> 00:26:31,800 Speaker 1: eight percent of people aren't getting the COVID shot for 490 00:26:31,840 --> 00:26:34,760 Speaker 1: their kids. And the CNN employee who rolls out to 491 00:26:34,760 --> 00:26:37,800 Speaker 1: get her kids, of course immediately the COVID shot is 492 00:26:37,800 --> 00:26:40,080 Speaker 1: floored by the fact that nobody else is getting it. 493 00:26:40,200 --> 00:26:42,479 Speaker 1: We got a bunch of super ripped people who went 494 00:26:42,520 --> 00:26:45,159 Speaker 1: to weigh in about how super ripped they are. Scott 495 00:26:45,200 --> 00:26:50,920 Speaker 1: and Raleigh, how are you so ripped? Hi? Come on, yeah, 496 00:26:50,960 --> 00:26:53,360 Speaker 1: you're on buddy. You're any one year FBI veteran got 497 00:26:53,400 --> 00:26:58,520 Speaker 1: ripped at fifty five? What's up? Okay, So essentially you 498 00:26:58,520 --> 00:27:01,159 Speaker 1: have to you know, pretty some muscle will be be 499 00:27:01,240 --> 00:27:06,399 Speaker 1: an average guy right then? You Uh, this is what 500 00:27:06,480 --> 00:27:09,160 Speaker 1: I did. This is what works for me. I limited 501 00:27:09,160 --> 00:27:13,000 Speaker 1: my calories to about one hundred calories per meal for 502 00:27:13,080 --> 00:27:17,080 Speaker 1: every two and a half to three hours, with mostly 503 00:27:17,320 --> 00:27:21,240 Speaker 1: most of that calorie being protein. So how many calories 504 00:27:21,240 --> 00:27:25,920 Speaker 1: a day were you eating? I don't know. Again, I'm 505 00:27:25,920 --> 00:27:27,760 Speaker 1: not a Fitness X one. I'm just tell you what 506 00:27:27,800 --> 00:27:30,120 Speaker 1: I work. What works for one hundred calories a meal 507 00:27:30,280 --> 00:27:35,879 Speaker 1: is the hold our guys hold on. So then in 508 00:27:35,920 --> 00:27:39,000 Speaker 1: the evenings I would do a lean and green meal, 509 00:27:39,520 --> 00:27:42,960 Speaker 1: which would be about nine to twelve ounces of lean 510 00:27:43,160 --> 00:27:50,199 Speaker 1: protein with greens, right, not not use salt limited the 511 00:27:50,240 --> 00:27:53,800 Speaker 1: salt intake, and did the leaning green meal, which you'd 512 00:27:53,800 --> 00:27:56,119 Speaker 1: be So you think this is good advice, But you 513 00:27:56,160 --> 00:28:00,240 Speaker 1: think Jeff Bezos got super ripped in his fifties after 514 00:28:00,320 --> 00:28:02,520 Speaker 1: never being rid before, and you think he's all natural. 515 00:28:03,880 --> 00:28:06,440 Speaker 1: I doubt he's all natural. I know that I am, 516 00:28:07,000 --> 00:28:10,080 Speaker 1: and you're all natural. So what is all natural for you? Mean? Like, 517 00:28:10,160 --> 00:28:14,280 Speaker 1: what's your height and weight? I am five to seven 518 00:28:14,960 --> 00:28:18,440 Speaker 1: one sixty when I started, and I knew I was 519 00:28:18,440 --> 00:28:20,439 Speaker 1: going to start this, so I kind of, you know, 520 00:28:20,680 --> 00:28:23,080 Speaker 1: ate whatever I wanted to to put on a few 521 00:28:23,080 --> 00:28:26,000 Speaker 1: extra pounds from like one eighty to one eighty five, right, 522 00:28:26,760 --> 00:28:31,359 Speaker 1: and then us very calculated and making sure that I 523 00:28:31,480 --> 00:28:34,600 Speaker 1: conned my mean, what percentage body what percentage body fat 524 00:28:34,640 --> 00:28:37,920 Speaker 1: are you? What percentage body fat are you? I have 525 00:28:37,960 --> 00:28:41,800 Speaker 1: no idea. Okay, thank you Scott for calling in. I 526 00:28:41,800 --> 00:28:46,800 Speaker 1: appreciate Scott's ideas. Flavia is a CrossFit gym owner, She's 527 00:28:46,920 --> 00:28:51,040 Speaker 1: fifty and she could definitely beat us in push up contest. Flavia, 528 00:28:51,120 --> 00:28:56,719 Speaker 1: what's going on? I'm completely confident of that. Damn Um, 529 00:28:58,000 --> 00:29:03,520 Speaker 1: I'm kidding boys. Nice time you. First of all, thank you. Um, Nope, 530 00:29:03,600 --> 00:29:09,080 Speaker 1: crossit is awesome. I'm a nutrition coach and there you know, 531 00:29:09,120 --> 00:29:11,920 Speaker 1: there's lots of ways to get fit, but I think 532 00:29:11,960 --> 00:29:15,680 Speaker 1: that m having your nutrition dialed in and um, doing 533 00:29:15,760 --> 00:29:19,800 Speaker 1: something constantly varied like crossit is excellent. I've been doing 534 00:29:19,840 --> 00:29:22,920 Speaker 1: it for nine years. I am fifty years old and 535 00:29:23,160 --> 00:29:27,240 Speaker 1: my body sat is fourteen percent, which is athletic for 536 00:29:28,000 --> 00:29:30,920 Speaker 1: a female. And I gotta ask you a question. I mean, 537 00:29:30,960 --> 00:29:34,360 Speaker 1: I may have the fitness expertise of Homer Simpson, but 538 00:29:34,520 --> 00:29:40,160 Speaker 1: kipping pull ups, come on, come on, ridiculous. No, they're awesome. UM, 539 00:29:41,520 --> 00:29:45,480 Speaker 1: strict before kipping, strict before kipping. You gotta have some 540 00:29:45,600 --> 00:29:47,880 Speaker 1: muscles to be able to do strict pull ups, otherwise 541 00:29:47,880 --> 00:29:51,120 Speaker 1: you're gonna hurt yourself. UM, So don't go out there 542 00:29:51,120 --> 00:29:55,640 Speaker 1: and try them without supervision. First off, do you think 543 00:29:55,680 --> 00:29:58,520 Speaker 1: that Jeff Bezos is all real? Do you think he's 544 00:29:58,520 --> 00:30:04,880 Speaker 1: all natural? You know? Like, I have no idea what 545 00:30:04,960 --> 00:30:08,120 Speaker 1: they do, but I know that it is possible for 546 00:30:08,160 --> 00:30:12,280 Speaker 1: people in their later years to be super fit and 547 00:30:12,360 --> 00:30:15,320 Speaker 1: look super fit because I am one of them, my 548 00:30:15,400 --> 00:30:18,680 Speaker 1: husband is one of them. We do that primarily through diet. 549 00:30:18,920 --> 00:30:21,960 Speaker 1: Diet is the first thing that you should look at 550 00:30:22,080 --> 00:30:26,960 Speaker 1: when you're trying to be fit, and it's and you 551 00:30:27,000 --> 00:30:30,000 Speaker 1: don't have to be crazy. You can. You can start 552 00:30:30,040 --> 00:30:33,840 Speaker 1: adapting a healthy diet one little step at a time, 553 00:30:33,960 --> 00:30:37,440 Speaker 1: and it turns into something really good. If you're Flavia, 554 00:30:37,480 --> 00:30:38,880 Speaker 1: thank you, we got we gotta go to a break. 555 00:30:38,920 --> 00:30:41,320 Speaker 1: I just say, Clay, I mean, I think a lot 556 00:30:41,360 --> 00:30:43,520 Speaker 1: of people out there could use a boost, could use 557 00:30:43,560 --> 00:30:45,960 Speaker 1: a little help. I see Jeff Bezos. I think people 558 00:30:46,320 --> 00:30:48,440 Speaker 1: have taken stuff to help them a little bit. We 559 00:30:48,560 --> 00:30:51,640 Speaker 1: got an idea for you. Our friends at Chalk have 560 00:30:51,880 --> 00:30:55,440 Speaker 1: things that can really help exactly what we're talking about, 561 00:30:55,760 --> 00:30:59,640 Speaker 1: giving you energy, vitality, putting on muscle. Chalk's Male Vitality 562 00:30:59,680 --> 00:31:03,360 Speaker 1: Stack is the right combination of herbal supplements that give 563 00:31:03,440 --> 00:31:06,240 Speaker 1: men in this nation the increased amount of energy, focus, 564 00:31:06,320 --> 00:31:09,960 Speaker 1: and yes, testosterone that they need get. Your body is 565 00:31:10,000 --> 00:31:12,720 Speaker 1: like a test tube. Your body is all about biochemistry 566 00:31:13,000 --> 00:31:14,480 Speaker 1: If you want to feel good, you want to put 567 00:31:14,520 --> 00:31:16,720 Speaker 1: on muscle, you want to feel better about yourself day 568 00:31:16,760 --> 00:31:20,560 Speaker 1: in and day out, try Chalk right now. Set yourself 569 00:31:20,640 --> 00:31:23,240 Speaker 1: up with a monthly subscription to what Chalk can give you. 570 00:31:23,520 --> 00:31:27,400 Speaker 1: Go to Chalk dot com, thathoq dot com use my 571 00:31:27,520 --> 00:31:30,120 Speaker 1: name to get ninety five percent off your first months 572 00:31:30,120 --> 00:31:33,680 Speaker 1: of any single Chalk subscription under seventy dollars. Use buck 573 00:31:33,800 --> 00:31:37,800 Speaker 1: ninety five for that ninety five percent off offer choq 574 00:31:38,080 --> 00:31:44,080 Speaker 1: dot com that choq chalk dot com. It is crucial 575 00:31:44,480 --> 00:31:46,880 Speaker 1: for people to get a booster to stay up to date. 576 00:31:47,800 --> 00:31:51,080 Speaker 1: Most deaths are happening in people who are not up 577 00:31:51,080 --> 00:31:54,920 Speaker 1: to date on their vaccines. Let me repeat that, most 578 00:31:55,000 --> 00:31:57,200 Speaker 1: tests are happening in people who are not up to 579 00:31:57,280 --> 00:32:00,560 Speaker 1: date with their vaccines. And it is critical that people 580 00:32:00,600 --> 00:32:04,200 Speaker 1: get out and get vaccinated. And as I've said before, 581 00:32:04,240 --> 00:32:07,520 Speaker 1: and I will say again, if you're over fifty or 582 00:32:07,640 --> 00:32:10,280 Speaker 1: moderately or severely immunity compromise, but if you're over fifty 583 00:32:10,560 --> 00:32:12,479 Speaker 1: and haven't gotten a vaccine this year, in the year 584 00:32:12,520 --> 00:32:15,560 Speaker 1: twenty twenty two, you should get one right away. I 585 00:32:15,640 --> 00:32:18,480 Speaker 1: would not wit. All right, let's talk about this. That 586 00:32:18,720 --> 00:32:20,840 Speaker 1: was the welcome back to Clay and Buck. That was 587 00:32:20,880 --> 00:32:26,120 Speaker 1: the White House COVID Response Coordinator, doctor joh We now 588 00:32:26,160 --> 00:32:29,040 Speaker 1: have doctor Marty McCarry with us now, author of the 589 00:32:29,080 --> 00:32:33,760 Speaker 1: Price We Pay from Johns Hopkins University Medical Center. Doctor McCarry, 590 00:32:33,760 --> 00:32:35,880 Speaker 1: always great to have you on. Can I just start 591 00:32:35,920 --> 00:32:40,240 Speaker 1: with the notion of up to dates as the White 592 00:32:40,240 --> 00:32:43,280 Speaker 1: House and the CDC and the NIH are presenting it. Now, 593 00:32:43,880 --> 00:32:47,800 Speaker 1: what does that mean booster for what actually qualifies as 594 00:32:47,880 --> 00:32:51,240 Speaker 1: up to date? Well, they'd be given you a booster 595 00:32:51,360 --> 00:32:53,400 Speaker 1: every Monday morning when you show up at work if 596 00:32:53,400 --> 00:32:56,480 Speaker 1: they had it their way. I mean, basically, these public 597 00:32:56,520 --> 00:33:00,760 Speaker 1: health officials are subsidiaries and agents of big Arma and 598 00:33:00,880 --> 00:33:04,120 Speaker 1: just the farmer companies. They like, there's day that support 599 00:33:04,240 --> 00:33:07,360 Speaker 1: people who are over fifty getting a booster in my opinion, 600 00:33:07,680 --> 00:33:10,640 Speaker 1: if they've not had COVID. But they ignore natural immunity 601 00:33:10,680 --> 00:33:14,360 Speaker 1: and they apply these recommendations indiscriminately, which is why they 602 00:33:14,360 --> 00:33:18,240 Speaker 1: have no credibility. Now. He also said most deaths are 603 00:33:18,280 --> 00:33:21,560 Speaker 1: happening in people who are not up to date on 604 00:33:21,600 --> 00:33:25,480 Speaker 1: their vaccines. Why is it that The data? I mean, 605 00:33:26,040 --> 00:33:30,080 Speaker 1: I remember we had last summer. Let's say we had 606 00:33:30,400 --> 00:33:36,560 Speaker 1: numbers new York Times CNN a running tracker of vaccinations, 607 00:33:36,800 --> 00:33:40,360 Speaker 1: of deaths every day, debts by month, vaccination, sat us, 608 00:33:40,400 --> 00:33:43,120 Speaker 1: all of this. Shouldn't we know what percentage of the 609 00:33:43,120 --> 00:33:45,240 Speaker 1: people who are dying from COVID in the last six 610 00:33:45,320 --> 00:33:48,200 Speaker 1: months we're vaccinated? Do they know this? Do they just 611 00:33:48,240 --> 00:33:53,160 Speaker 1: not want to tell us this? The CDC stopped reporting 612 00:33:53,200 --> 00:33:57,200 Speaker 1: it several months ago. In terms of that's unbelievable, So 613 00:33:57,240 --> 00:33:59,280 Speaker 1: I mean, they don't want you to know. In other words, 614 00:33:59,360 --> 00:34:01,520 Speaker 1: don't just live ust what we say and trust us. 615 00:34:02,080 --> 00:34:03,920 Speaker 1: I don't know how they could know. I don't know 616 00:34:03,960 --> 00:34:07,120 Speaker 1: how he can make that statement, doctor job, because we 617 00:34:07,200 --> 00:34:10,480 Speaker 1: have no compass. There's no information about how many of 618 00:34:10,520 --> 00:34:14,440 Speaker 1: the deaths are from COVID versus with an incidental COVID. 619 00:34:14,640 --> 00:34:16,960 Speaker 1: You may have seen La County how to report that 620 00:34:17,080 --> 00:34:19,600 Speaker 1: only about ten percent of the COVID deaths were actually 621 00:34:19,680 --> 00:34:22,600 Speaker 1: from COVID. So I think they're just making up numbers 622 00:34:22,600 --> 00:34:27,040 Speaker 1: as they go, which is tragic. Are we likely to 623 00:34:27,080 --> 00:34:32,359 Speaker 1: get to a whole new series of vaccines and vaccination 624 00:34:32,520 --> 00:34:36,800 Speaker 1: requirements this fall? I mean, I see these stories doctor 625 00:34:36,880 --> 00:34:41,239 Speaker 1: McCarry about there's a a new new variant, right, There's 626 00:34:41,280 --> 00:34:44,640 Speaker 1: always something there's the BA five subset something or other. 627 00:34:45,719 --> 00:34:47,640 Speaker 1: Are we going to have a whole new series of 628 00:34:47,800 --> 00:34:51,120 Speaker 1: shots and boosters? Like what is you mentioned Big Pharma? 629 00:34:51,880 --> 00:34:56,319 Speaker 1: What's the plan? Well, there is going to be a 630 00:34:56,360 --> 00:35:00,520 Speaker 1: push to vaccinate everybody again this fall in the next 631 00:35:00,560 --> 00:35:03,760 Speaker 1: few months with a new vaccine that the big companies 632 00:35:03,800 --> 00:35:06,840 Speaker 1: have come out with that has a vaccine against omicron 633 00:35:07,040 --> 00:35:09,920 Speaker 1: and the original Wuhan strain. I'm not sure why the 634 00:35:09,920 --> 00:35:14,000 Speaker 1: original Wuhan strain vaccine is still in there, but it'll 635 00:35:14,239 --> 00:35:17,080 Speaker 1: be good for sales for the shareholders. And I'd love 636 00:35:17,080 --> 00:35:18,799 Speaker 1: to see the data. I don't know how they can 637 00:35:18,840 --> 00:35:22,239 Speaker 1: push it so hard without seeing the data. Now, it 638 00:35:22,280 --> 00:35:24,160 Speaker 1: may be that there's going to be a new variant. 639 00:35:24,239 --> 00:35:27,759 Speaker 1: We'll have to see, maybe it'll evade the immunity, But 640 00:35:28,239 --> 00:35:32,000 Speaker 1: do they have the certainty now to push it so hard. 641 00:35:32,360 --> 00:35:35,399 Speaker 1: How about showing a little humility and saying we don't 642 00:35:35,440 --> 00:35:38,239 Speaker 1: know when they really don't know. That's probably what's been 643 00:35:38,280 --> 00:35:40,359 Speaker 1: missing for a long time. And by the way, there's 644 00:35:40,400 --> 00:35:43,799 Speaker 1: never been data to support vaccinating those who already have 645 00:35:43,880 --> 00:35:48,200 Speaker 1: immunity from natural immunity. Doctor Jaw has made the rounds 646 00:35:48,480 --> 00:35:51,560 Speaker 1: behind the scenes, and I can tell you this, I'd 647 00:35:51,560 --> 00:35:55,760 Speaker 1: know it firsthand. Asking researchers to write op edge showing 648 00:35:55,800 --> 00:35:59,080 Speaker 1: that natural immunity doesn't work, arguing that he can get 649 00:35:59,080 --> 00:36:02,120 Speaker 1: it published in some of these big newspapers. That's the 650 00:36:02,160 --> 00:36:04,919 Speaker 1: guy running our public health policy right now. So these 651 00:36:05,239 --> 00:36:08,560 Speaker 1: health propagandas are that's that's good to know. We're speaking 652 00:36:08,560 --> 00:36:14,680 Speaker 1: to doctor Marty McCarry Johns Hopkins University Medical Medical Center, 653 00:36:15,719 --> 00:36:21,120 Speaker 1: doctor doctor McCarry. Another thing that I just find remarkable 654 00:36:21,200 --> 00:36:25,359 Speaker 1: and really quite depressing is the durability, it seems, of 655 00:36:26,200 --> 00:36:29,200 Speaker 1: big medicine's willingness to go along with this. I mean, 656 00:36:29,280 --> 00:36:31,640 Speaker 1: you know, there's there's like big pharma, there's big tobacco, 657 00:36:31,880 --> 00:36:35,200 Speaker 1: there's big government. I think big medicine is now increasingly 658 00:36:35,239 --> 00:36:37,320 Speaker 1: a thing that we have to all start thinking about. 659 00:36:37,600 --> 00:36:42,080 Speaker 1: Meaning the hospital systems, hospital administrators, the people that are 660 00:36:42,480 --> 00:36:47,600 Speaker 1: doing more bureaucracy management in the medical system than actual 661 00:36:47,640 --> 00:36:51,759 Speaker 1: patient care. And you know they're everywhere requires masks. Now. 662 00:36:51,800 --> 00:36:54,000 Speaker 1: I went to a hospital recently New York City to visit. 663 00:36:54,040 --> 00:36:56,760 Speaker 1: Somebody had to put the mask on. They're going along 664 00:36:56,760 --> 00:36:59,839 Speaker 1: with all this stuff. Meanwhile, Fauci we played the ad 665 00:37:00,680 --> 00:37:03,640 Speaker 1: the last twenty four hours Fouchi says he never never 666 00:37:03,680 --> 00:37:08,520 Speaker 1: told anybody to lockdown anything, and in October twenty twenty, 667 00:37:08,520 --> 00:37:10,560 Speaker 1: he was saying he wanted the whole country lockdown and 668 00:37:10,600 --> 00:37:12,799 Speaker 1: that he told the president to do that. Do they 669 00:37:12,880 --> 00:37:16,160 Speaker 1: realize does the medical community realize that the tiny emperor 670 00:37:16,200 --> 00:37:21,000 Speaker 1: Fauci has no clothes? Well, there's a survey that showed 671 00:37:21,000 --> 00:37:26,359 Speaker 1: that parents say in rural areas, their pediatrician did not 672 00:37:26,520 --> 00:37:29,759 Speaker 1: recommend vaccinating their healthy child. So I do think there's 673 00:37:29,800 --> 00:37:33,120 Speaker 1: a lot of doctors. I certainly get hundreds of doctors 674 00:37:33,160 --> 00:37:35,920 Speaker 1: that reach out to me saying, keep going, keep speaking up. 675 00:37:36,040 --> 00:37:40,040 Speaker 1: They're afraid to because they're getting grants from Fouchi's center 676 00:37:40,080 --> 00:37:43,400 Speaker 1: at the NIH, or their department head or their hospital 677 00:37:44,040 --> 00:37:46,799 Speaker 1: is going to treat them differently. Look at the group 678 00:37:46,880 --> 00:37:50,000 Speaker 1: think on hospital visitation for a year and a half, 679 00:37:50,160 --> 00:37:52,880 Speaker 1: some places two years. We wouldn't let people say goodbye 680 00:37:52,880 --> 00:37:55,520 Speaker 1: to their loved ones. He couldn't hold the hand of 681 00:37:55,560 --> 00:37:58,480 Speaker 1: your dying loved one, because you know that was somehow 682 00:37:58,520 --> 00:38:00,680 Speaker 1: going to put you at risk of COVID. The group 683 00:38:00,760 --> 00:38:02,960 Speaker 1: think has been bad, But I think there's a fair 684 00:38:03,000 --> 00:38:06,279 Speaker 1: amount of doctors out there who are thinking independently. And 685 00:38:06,400 --> 00:38:09,880 Speaker 1: standing up against us. Is it possible? And do you 686 00:38:09,920 --> 00:38:13,360 Speaker 1: ever maybe confer with some of your colleagues in medicine 687 00:38:13,360 --> 00:38:17,320 Speaker 1: about I mean, can we set up some real gold 688 00:38:17,360 --> 00:38:20,560 Speaker 1: standard level experiments to put some of this stuff to 689 00:38:20,719 --> 00:38:23,799 Speaker 1: bed once in for all, whether it's on mask mandates 690 00:38:24,000 --> 00:38:28,080 Speaker 1: or you know, the Faucci's now saying that school should 691 00:38:28,080 --> 00:38:31,800 Speaker 1: basically have masks for all the kids. I mean, is 692 00:38:31,840 --> 00:38:35,760 Speaker 1: it possible to design an experiment that would finally break 693 00:38:35,840 --> 00:38:41,640 Speaker 1: through the stubbornness of this mentality or do you think 694 00:38:41,680 --> 00:38:43,840 Speaker 1: that this is just too far gone for people and 695 00:38:43,880 --> 00:38:45,840 Speaker 1: we're just going to have to wait years and years. 696 00:38:48,160 --> 00:38:51,960 Speaker 1: It's tough when you have one spokesperson for the entire 697 00:38:52,040 --> 00:38:55,640 Speaker 1: medical and public health profession, and that was doctor Faucci 698 00:38:55,680 --> 00:38:58,960 Speaker 1: who called for mitigation with children and said that school 699 00:38:59,000 --> 00:39:02,560 Speaker 1: closures was that mitigation. So he was calling for schools 700 00:39:02,600 --> 00:39:05,160 Speaker 1: to close. He was cheering them on when schools were 701 00:39:05,160 --> 00:39:08,080 Speaker 1: closing for no good reason, in the public schools, not 702 00:39:08,160 --> 00:39:10,879 Speaker 1: the private schools. He didn't say a word. And so 703 00:39:10,960 --> 00:39:13,560 Speaker 1: now we have the research that looks at schools that 704 00:39:13,600 --> 00:39:17,839 Speaker 1: were masked entirely with a mandate versus schools that were 705 00:39:17,880 --> 00:39:22,280 Speaker 1: not three big studies have come out recently this summer 706 00:39:22,360 --> 00:39:26,000 Speaker 1: and late spring that have done the final scientific analysis, 707 00:39:26,000 --> 00:39:30,080 Speaker 1: and they all showed no benefit. But we're ignoring that. 708 00:39:30,360 --> 00:39:34,280 Speaker 1: Culver City, California just announced going back to mask mandates. 709 00:39:34,320 --> 00:39:37,400 Speaker 1: You heard San Diego is doing the same. Boston one 710 00:39:37,480 --> 00:39:40,319 Speaker 1: hundred and thirty schools in their district. In Boston, they 711 00:39:40,360 --> 00:39:43,759 Speaker 1: never removed masked mandates. They've had every kid K through 712 00:39:43,800 --> 00:39:49,040 Speaker 1: twelve mass the entire year. So it doesn't matter how 713 00:39:49,160 --> 00:39:52,680 Speaker 1: much data you can prove scientifically. Some people have made 714 00:39:52,760 --> 00:39:55,319 Speaker 1: up their minds politically, and that's what we've seen with 715 00:39:55,400 --> 00:39:57,880 Speaker 1: so many of these issues. Do you think that that 716 00:39:58,440 --> 00:40:03,520 Speaker 1: COVID has created a specific anxiety disorder of some kind 717 00:40:03,560 --> 00:40:07,160 Speaker 1: for people? I walk around New York City, Doc, you know, 718 00:40:07,200 --> 00:40:09,480 Speaker 1: every day and I'm walking through Times Square and I 719 00:40:09,520 --> 00:40:12,240 Speaker 1: live right in the thick of it, and I see 720 00:40:12,440 --> 00:40:16,160 Speaker 1: a lot of people walking around with masks on particularly 721 00:40:16,200 --> 00:40:17,799 Speaker 1: these days. I've seen a lot of n ninety five 722 00:40:17,800 --> 00:40:21,400 Speaker 1: masks outside. I was at the grocery store this morning 723 00:40:21,440 --> 00:40:24,200 Speaker 1: in line, and there must have been there are a 724 00:40:24,200 --> 00:40:27,640 Speaker 1: couple of little lines open, seven or eight people all 725 00:40:27,719 --> 00:40:30,160 Speaker 1: wearing in ninety five masks all around me, looking at 726 00:40:30,160 --> 00:40:33,239 Speaker 1: me of course, like I'm some kind of spreader of 727 00:40:33,280 --> 00:40:37,239 Speaker 1: the plague. What is it going to take? I mean, 728 00:40:37,400 --> 00:40:41,440 Speaker 1: you know, why, why can't we have public health officials 729 00:40:41,440 --> 00:40:44,440 Speaker 1: come forward and tell everybody you know, you can finally 730 00:40:44,520 --> 00:40:49,080 Speaker 1: stop guys, you can free your face. Well, it's disappointing 731 00:40:49,120 --> 00:40:51,360 Speaker 1: to hear that, buck, You know, I used to enjoy 732 00:40:51,440 --> 00:40:54,160 Speaker 1: going to New York about once a month and I 733 00:40:54,200 --> 00:40:57,160 Speaker 1: would go out to eat meat, friends, do some business. 734 00:40:57,800 --> 00:41:00,279 Speaker 1: I've lived been there, I would say more than once 735 00:41:00,320 --> 00:41:02,040 Speaker 1: in the last two years, because I don't want to 736 00:41:02,040 --> 00:41:05,040 Speaker 1: live like that. And the dirty secret is that when 737 00:41:05,040 --> 00:41:07,359 Speaker 1: you wear a mask all the time, if you're a 738 00:41:07,440 --> 00:41:10,560 Speaker 1: child or an adult, you're more sad. And one thing 739 00:41:10,600 --> 00:41:12,920 Speaker 1: that the public health officials missed is that when you 740 00:41:13,000 --> 00:41:18,400 Speaker 1: cover everybody's faces, you also silence them. You have no expression, 741 00:41:18,560 --> 00:41:22,080 Speaker 1: and it helped ignite the mental health crisis that we 742 00:41:22,160 --> 00:41:26,840 Speaker 1: have now in children. I mean, there's been huge damage 743 00:41:26,880 --> 00:41:30,960 Speaker 1: done to children, to their development, to their academic and 744 00:41:31,440 --> 00:41:36,040 Speaker 1: emotional stability during all of this, and it just feels 745 00:41:36,040 --> 00:41:38,759 Speaker 1: like there's there's no accountability. I mean, what do you 746 00:41:38,800 --> 00:41:40,839 Speaker 1: where do you think we're heading with all this? Are 747 00:41:40,840 --> 00:41:44,280 Speaker 1: we going to go into another phase of these arguments 748 00:41:44,280 --> 00:41:46,319 Speaker 1: in the fall, are we going to or do you 749 00:41:46,400 --> 00:41:48,879 Speaker 1: think that there'll be enough people that have had enough 750 00:41:49,520 --> 00:41:52,120 Speaker 1: that we're going to head toward normal lives. I think 751 00:41:52,160 --> 00:41:54,560 Speaker 1: it depends where you live. I think people have gotten 752 00:41:54,600 --> 00:41:58,040 Speaker 1: wise now. They're not blindly following everything they hear like 753 00:41:58,120 --> 00:42:02,400 Speaker 1: blind sheep. Look for example, at Biden. He has COVID, 754 00:42:02,640 --> 00:42:04,920 Speaker 1: he's recovery, he's doing fine, he was always going to 755 00:42:05,000 --> 00:42:09,240 Speaker 1: be fine. But they're not really concerned about contact tracing. 756 00:42:09,320 --> 00:42:12,000 Speaker 1: The White House was asked, first of all, they're muzzling 757 00:42:12,080 --> 00:42:15,680 Speaker 1: his doctor. His doctor can only speak by statements for 758 00:42:15,760 --> 00:42:19,040 Speaker 1: the first time since President Garfield was shot, that we 759 00:42:19,120 --> 00:42:23,440 Speaker 1: actually have not heard directly from the doctor and they 760 00:42:23,440 --> 00:42:26,759 Speaker 1: don't care. They actually said regarding contact tracing, I don't 761 00:42:26,760 --> 00:42:29,040 Speaker 1: think it matters, right, Remember that that, I don't think 762 00:42:29,040 --> 00:42:32,080 Speaker 1: it matters when he got it. Meanwhile, school districts are 763 00:42:32,120 --> 00:42:37,560 Speaker 1: subjecting kids to quarantining and isolating for possible exposures, and 764 00:42:37,640 --> 00:42:40,239 Speaker 1: I think people are starting to see the ludicracy of 765 00:42:40,280 --> 00:42:43,200 Speaker 1: all this stuff. Yeah, I hope. So, doctor McCarry, where 766 00:42:43,200 --> 00:42:46,080 Speaker 1: can folks go to follow your work? So I try 767 00:42:46,120 --> 00:42:49,239 Speaker 1: to post my pieces on LinkedIn and Twitter and thanks 768 00:42:49,280 --> 00:42:51,560 Speaker 1: so much. Fuck I appreciate you saying what you do 769 00:42:51,640 --> 00:42:54,920 Speaker 1: every day. Thank you doctor Marty McCarry, Johns Hopkins Medical Center. 770 00:42:54,960 --> 00:42:59,839 Speaker 1: Everybody doctor mcarey thak so much. Thanks. Oh man, It's 771 00:43:00,960 --> 00:43:02,799 Speaker 1: it's gonna be It's gonna be a fight, folks, It's 772 00:43:02,800 --> 00:43:06,320 Speaker 1: gonna be a fight. But on to something else here, listener, George, 773 00:43:06,360 --> 00:43:09,240 Speaker 1: living in Oregon has one of the toughest physical jobs. 774 00:43:09,280 --> 00:43:12,439 Speaker 1: He drives a garbage truck in Oregon. Critical jobs, something 775 00:43:12,440 --> 00:43:15,200 Speaker 1: we all need done right. Ten hours a day every 776 00:43:15,280 --> 00:43:17,800 Speaker 1: day behind the wheel, in and out driving that cab 777 00:43:18,200 --> 00:43:20,880 Speaker 1: leave any man feeling tired and stiff, particularly in the 778 00:43:21,000 --> 00:43:24,120 Speaker 1: hips and knees. But after hearing about and trying relief 779 00:43:24,120 --> 00:43:27,640 Speaker 1: Factor himself, George found the stiffness and swelling that he 780 00:43:27,719 --> 00:43:31,040 Speaker 1: had subsided. Today, we're happy to report that George can 781 00:43:31,080 --> 00:43:34,200 Speaker 1: move around with great ease again, benefiting from the formula 782 00:43:34,239 --> 00:43:38,239 Speaker 1: found in relief Factor. Created by doctors and perfected over 783 00:43:38,280 --> 00:43:42,000 Speaker 1: fifteen years of scientific research, Relief Factor was made for 784 00:43:42,120 --> 00:43:45,239 Speaker 1: you with four key ingredients. Relief Factor is a one 785 00:43:45,400 --> 00:43:48,840 Speaker 1: hundred percent drug free product that addresses joint pain. Hundreds 786 00:43:48,840 --> 00:43:51,720 Speaker 1: of thousands of people have ordered Relief Factor, and about 787 00:43:51,760 --> 00:43:54,719 Speaker 1: seventy percent of them go on to order more join them. 788 00:43:54,760 --> 00:43:56,799 Speaker 1: More than half a million people in order the three 789 00:43:56,840 --> 00:44:00,280 Speaker 1: week quickstart for only nineteen ninety five Gonna Relief Factor 790 00:44:00,320 --> 00:44:03,080 Speaker 1: dot com or call eight hundred four Relief Together the 791 00:44:03,160 --> 00:44:06,840 Speaker 1: nineteen ninety five three week Quickstart that's Relief Factor dot 792 00:44:06,840 --> 00:44:10,240 Speaker 1: com or call eight hundred the number four Relief