1 00:00:01,360 --> 00:00:05,600 Speaker 1: Welcome back, and we appreciate all of you. Thank you 2 00:00:05,640 --> 00:00:08,760 Speaker 1: for hanging out with us on the Monday edition, post 3 00:00:08,880 --> 00:00:11,840 Speaker 1: Thanksgiving edition of The Clay and Buck Show. 4 00:00:11,920 --> 00:00:14,840 Speaker 2: I think probably quite a few of you, along with. 5 00:00:14,800 --> 00:00:19,240 Speaker 1: Your favorite hosts, have maybe indulged a bit over the 6 00:00:19,239 --> 00:00:24,000 Speaker 1: course of the long weekend, A decent amount of food consumed, 7 00:00:24,239 --> 00:00:28,319 Speaker 1: beverages consumed. I know that was the case with me. 8 00:00:28,400 --> 00:00:30,040 Speaker 1: We had an awesome time we had. I how big 9 00:00:30,160 --> 00:00:31,120 Speaker 1: was your Thanksgiving dinner? 10 00:00:31,120 --> 00:00:31,360 Speaker 2: Buck? 11 00:00:31,400 --> 00:00:35,800 Speaker 1: We had thirteen and I had all my nieces, my niece, 12 00:00:35,920 --> 00:00:40,040 Speaker 1: my nephew's sister, brother in law, mom, dad, and my 13 00:00:40,120 --> 00:00:42,720 Speaker 1: mother in law along with my family. It was awesome. 14 00:00:42,960 --> 00:00:46,320 Speaker 1: So we had thirteen for Thanksgiving. Dinner went well, had 15 00:00:46,320 --> 00:00:49,159 Speaker 1: a great time down in the Free State of Florida, 16 00:00:49,200 --> 00:00:52,560 Speaker 1: still the Free State of Florida. I was laughing, also 17 00:00:52,800 --> 00:00:57,560 Speaker 1: still angry about the Remember the Gavin Newsom advisements on 18 00:00:57,760 --> 00:01:01,240 Speaker 1: Thanksgiving where you were not allowed to I shared that 19 00:01:01,480 --> 00:01:03,960 Speaker 1: five years ago now, but you and I will never 20 00:01:04,040 --> 00:01:06,319 Speaker 1: forget what they put us through. And I know many 21 00:01:06,400 --> 00:01:09,319 Speaker 1: of you out there listening will never forget either. But 22 00:01:09,400 --> 00:01:13,200 Speaker 1: the five year anniversary of Gavin Newsom telling you you 23 00:01:13,240 --> 00:01:16,080 Speaker 1: had to eat outside, that you could not have very 24 00:01:16,080 --> 00:01:18,640 Speaker 1: many people to your Thanksgiving dinner, that you should not 25 00:01:18,800 --> 00:01:23,280 Speaker 1: sing or chant. If you remember that directive from the 26 00:01:23,480 --> 00:01:28,480 Speaker 1: dictatorial governor of California during that awful time, I think 27 00:01:28,520 --> 00:01:32,600 Speaker 1: many of you will member Deborah Burks, Doctor Burks also 28 00:01:32,800 --> 00:01:35,240 Speaker 1: went home for Thanksgiving and hung out with all of 29 00:01:35,240 --> 00:01:37,560 Speaker 1: her people after telling everybody, don't go home and hang 30 00:01:37,600 --> 00:01:40,400 Speaker 1: out with everyone a Thanksgiving. Yes, that was a tough 31 00:01:40,400 --> 00:01:43,000 Speaker 1: one to explain. That was that was going full French 32 00:01:43,080 --> 00:01:46,720 Speaker 1: laundry on that one. Yeah, I'll Gavin Newsom so, yes, 33 00:01:47,080 --> 00:01:48,880 Speaker 1: I will never I will never forget that we had 34 00:01:48,920 --> 00:01:51,720 Speaker 1: a very civilized It was just eight of us. I 35 00:01:51,720 --> 00:01:53,760 Speaker 1: think it was eight of us. I think that's the count. 36 00:01:54,200 --> 00:01:54,920 Speaker 2: And yes, it was fun. 37 00:01:54,960 --> 00:01:56,440 Speaker 1: I had my son, so the first time I was 38 00:01:56,440 --> 00:01:59,680 Speaker 1: a dad for this Thanksgiving. We very much enjoyed it. 39 00:01:59,720 --> 00:02:02,560 Speaker 1: I will say I think I did. If you're looking 40 00:02:02,600 --> 00:02:07,560 Speaker 1: at at my at my caloric damage, I gotta say 41 00:02:07,680 --> 00:02:12,919 Speaker 1: the sweet potatoes, the candy sweet potatoes with the marshmallow 42 00:02:12,960 --> 00:02:15,560 Speaker 1: on top, I don't know, someone's just gotta cut me 43 00:02:15,600 --> 00:02:17,920 Speaker 1: off sooner. Those things are too good. I almost use 44 00:02:18,000 --> 00:02:20,480 Speaker 1: them like a dip for everything else. And so I'm like, 45 00:02:20,520 --> 00:02:23,720 Speaker 1: you know, what goes well with candy, sweet potatoes, everything 46 00:02:23,720 --> 00:02:24,600 Speaker 1: else on this plate. 47 00:02:27,440 --> 00:02:27,760 Speaker 2: Yeah. 48 00:02:28,080 --> 00:02:30,080 Speaker 1: So I think there's probably a decent number of you 49 00:02:30,160 --> 00:02:33,720 Speaker 1: out there that are are thinking to yourselves, Hey, maybe 50 00:02:34,080 --> 00:02:37,800 Speaker 1: maybe time to hit the gym. Maybe opportunity to to 51 00:02:37,880 --> 00:02:40,919 Speaker 1: get out and get back in a little bit better shape. 52 00:02:41,000 --> 00:02:45,760 Speaker 1: As December is beginning, particularly with Christmas and New Year's 53 00:02:45,919 --> 00:02:49,720 Speaker 1: on the on the calendar coming up very very quickly. 54 00:02:50,360 --> 00:02:52,600 Speaker 1: So a bunch of different stories that we are following 55 00:02:52,760 --> 00:02:54,800 Speaker 1: as we are speaking to all of you right now. 56 00:02:55,120 --> 00:02:58,120 Speaker 1: White House Press Secretary Caroline Lovitt, our friend, been on 57 00:02:58,160 --> 00:03:00,880 Speaker 1: the show a ton over the year. She is taking 58 00:03:00,960 --> 00:03:03,760 Speaker 1: questions in the White House from media. We'll be sharing 59 00:03:03,800 --> 00:03:07,239 Speaker 1: some of those takes with all of you. We've already 60 00:03:07,280 --> 00:03:10,200 Speaker 1: talked encourage you to go subscribe to the podcast. We've 61 00:03:10,240 --> 00:03:13,560 Speaker 1: already talked with Speaker of the House Mike Johnson as 62 00:03:13,600 --> 00:03:18,280 Speaker 1: well as Matt Van Epps. Big congressional election in the 63 00:03:18,440 --> 00:03:21,960 Speaker 1: seventh District of Tennessee, that's my home district. It will 64 00:03:22,000 --> 00:03:24,080 Speaker 1: be getting a lot of attention. It is a leading 65 00:03:24,160 --> 00:03:31,200 Speaker 1: story out there for everyone involved in the House Majority. 66 00:03:31,240 --> 00:03:33,880 Speaker 1: It's why Mike Johnson is here It's why President Trump 67 00:03:33,919 --> 00:03:36,800 Speaker 1: called in this morning to a rally, and we'll be 68 00:03:36,880 --> 00:03:40,680 Speaker 1: calling in to a rally again this evening. We've been 69 00:03:40,800 --> 00:03:45,320 Speaker 1: updating people on the National Guard shooting. We played that 70 00:03:45,600 --> 00:03:49,640 Speaker 1: for you. I think we have an update from Caroline 71 00:03:49,720 --> 00:03:52,720 Speaker 1: Levitt on that. Let me hit you with that if 72 00:03:52,760 --> 00:03:57,000 Speaker 1: I can. Cut twenty eight. This is Caroline Levitt talking 73 00:03:57,040 --> 00:04:00,520 Speaker 1: about the two National Guard soldiers who were shot within 74 00:04:00,600 --> 00:04:02,760 Speaker 1: about a mile of the White House. 75 00:04:03,160 --> 00:04:04,480 Speaker 2: Cut twenty eight. 76 00:04:04,840 --> 00:04:08,240 Speaker 3: Sarah and Andrew represent the very best of America. Two 77 00:04:08,320 --> 00:04:11,200 Speaker 3: young patriots who were willing to put on the uniform 78 00:04:11,280 --> 00:04:14,640 Speaker 3: and risk their lives in defense of their fellow Americans. 79 00:04:14,880 --> 00:04:18,040 Speaker 3: Both of them truly embody the profound words spoken by 80 00:04:18,120 --> 00:04:21,240 Speaker 3: Jesus Christ in the Gospel Greater love has no one 81 00:04:21,320 --> 00:04:24,600 Speaker 3: than this to lay down one's life for one's friends. 82 00:04:24,960 --> 00:04:27,839 Speaker 3: Sarah and Andrew are heroes, and we will never forget 83 00:04:27,880 --> 00:04:31,960 Speaker 3: their sacrifice. That means ensuring the monster responsible for this 84 00:04:32,000 --> 00:04:35,600 Speaker 3: atrocity is prosecuted to the fullest extent of the law 85 00:04:36,000 --> 00:04:39,599 Speaker 3: and faces the most severe punishment possible. It also means 86 00:04:39,640 --> 00:04:42,599 Speaker 3: reckoning with why this atrocity was allowed to happen in 87 00:04:42,640 --> 00:04:45,720 Speaker 3: the first place, so that it may never occur again. 88 00:04:46,640 --> 00:04:49,640 Speaker 1: So that was Caroline Levitt just a few moments ago 89 00:04:50,000 --> 00:04:54,640 Speaker 1: at the White House Press briefing. Okay, a couple of 90 00:04:54,640 --> 00:04:58,400 Speaker 1: other things that are out there that are substantial, Buck, 91 00:04:58,480 --> 00:05:01,119 Speaker 1: I don't know if you've done this, but the White 92 00:05:01,200 --> 00:05:06,320 Speaker 1: House just released a briefing, sorry, a statement from the 93 00:05:06,360 --> 00:05:10,520 Speaker 1: president's physician talking about the fact that he had had 94 00:05:10,560 --> 00:05:14,160 Speaker 1: a full body MRI scan done and that his overall 95 00:05:14,240 --> 00:05:17,280 Speaker 1: health was very positive. I was talking with a friend 96 00:05:17,360 --> 00:05:20,760 Speaker 1: of mine who is in healthcare, and he said that 97 00:05:20,839 --> 00:05:23,840 Speaker 1: he thinks this is going to become more and more standard. 98 00:05:23,880 --> 00:05:26,480 Speaker 2: Have you read or seen this. You may have done it. 99 00:05:27,000 --> 00:05:27,560 Speaker 2: I don't know. 100 00:05:28,320 --> 00:05:31,800 Speaker 1: It is becoming that they have these new basically, and 101 00:05:31,880 --> 00:05:33,520 Speaker 1: you may be able to explain it better than me. 102 00:05:34,160 --> 00:05:38,080 Speaker 1: The full body scans that are done of healthy people 103 00:05:38,440 --> 00:05:40,920 Speaker 1: to try and see if there might be something that 104 00:05:40,960 --> 00:05:44,400 Speaker 1: could be occurring that would be an issue. And he 105 00:05:44,520 --> 00:05:46,680 Speaker 1: telled my friend who I was talking with about this, 106 00:05:46,720 --> 00:05:49,279 Speaker 1: who was involved in healthcare, said, you know, most of 107 00:05:49,320 --> 00:05:51,679 Speaker 1: the time, if you're healthy, it doesn't pick up anything. 108 00:05:52,160 --> 00:05:55,960 Speaker 1: But he said a friend's wife they found an aneurism 109 00:05:56,160 --> 00:05:58,680 Speaker 1: that they had no idea would have been an issue. 110 00:05:59,120 --> 00:06:02,360 Speaker 1: Were able to go in treat it before it became 111 00:06:02,400 --> 00:06:04,720 Speaker 1: a major issue, and am I have killed her? And 112 00:06:04,760 --> 00:06:06,760 Speaker 1: she thought she was one hundred percent healthy. She had 113 00:06:06,800 --> 00:06:10,040 Speaker 1: no idea this was going on. These are preventative in nature, 114 00:06:10,360 --> 00:06:13,000 Speaker 1: but they're basically full body scans. The White House just 115 00:06:13,120 --> 00:06:16,680 Speaker 1: released that President Trump has done this and that his 116 00:06:16,760 --> 00:06:20,480 Speaker 1: full body scan showed no health concerns of which to 117 00:06:20,600 --> 00:06:21,960 Speaker 1: be alarmed by. 118 00:06:22,880 --> 00:06:23,159 Speaker 2: Mary. 119 00:06:23,240 --> 00:06:27,400 Speaker 1: Margaret Olahan, who is the Daily Wiars, a White House reporter, 120 00:06:27,960 --> 00:06:31,120 Speaker 1: just tweeted out the letter that the White House has 121 00:06:31,200 --> 00:06:35,400 Speaker 1: sent to all media members that says, hey, President Trump 122 00:06:35,440 --> 00:06:38,120 Speaker 1: is in good shape. The President had referenced it, and 123 00:06:38,160 --> 00:06:40,919 Speaker 1: there had been a lot of discussion about this. Have 124 00:06:41,000 --> 00:06:43,279 Speaker 1: you had this done or do you know people that 125 00:06:43,320 --> 00:06:46,480 Speaker 1: have had it done. I know people who have had 126 00:06:46,520 --> 00:06:49,720 Speaker 1: it done, and I think that it is I think 127 00:06:49,760 --> 00:06:51,440 Speaker 1: it is the future of medicine. I think people are 128 00:06:51,440 --> 00:06:53,480 Speaker 1: going part of the future of medicine. Yes, I think 129 00:06:53,520 --> 00:06:57,800 Speaker 1: people are going to be more and more because of 130 00:06:57,839 --> 00:07:02,039 Speaker 1: the proliferation of information that we all have. Artificial intelligence 131 00:07:02,279 --> 00:07:04,760 Speaker 1: is a very useful tool, not just for doctors, but 132 00:07:04,800 --> 00:07:07,159 Speaker 1: for you at home and all of this too for 133 00:07:07,200 --> 00:07:12,680 Speaker 1: self diagnosis. You can take photos of things. You know, 134 00:07:13,000 --> 00:07:16,600 Speaker 1: for medical purposes. You can take a photo of your 135 00:07:17,160 --> 00:07:19,240 Speaker 1: hand and be like, what is that weird bump on 136 00:07:19,280 --> 00:07:21,720 Speaker 1: my hand? And AI will say, I'm not a doctor, 137 00:07:21,760 --> 00:07:23,640 Speaker 1: but here's what I can tell you about this. Based 138 00:07:23,680 --> 00:07:26,600 Speaker 1: on the following, people are going to realize that you 139 00:07:26,640 --> 00:07:30,280 Speaker 1: don't want to wait to be really sick before you 140 00:07:30,440 --> 00:07:32,800 Speaker 1: try to get help. You want to find things as 141 00:07:32,800 --> 00:07:34,960 Speaker 1: early as it's not just find when things. 142 00:07:34,760 --> 00:07:35,440 Speaker 2: Have gone wrong. 143 00:07:35,640 --> 00:07:37,480 Speaker 1: You want to look at the trajectory, look at the 144 00:07:37,520 --> 00:07:41,280 Speaker 1: trend of different health markers, whether it's your A one C, 145 00:07:41,920 --> 00:07:45,680 Speaker 1: your cholesterol or all these different things that you know, 146 00:07:45,720 --> 00:07:49,920 Speaker 1: really your cardiovascular health and arterial health really really important. 147 00:07:50,280 --> 00:07:51,960 Speaker 1: And anything that can give you a sense as to 148 00:07:52,040 --> 00:07:54,840 Speaker 1: how that's going is I think going to become very 149 00:07:55,280 --> 00:07:57,720 Speaker 1: very valuable tools. So you know, there's also Clay a 150 00:07:57,760 --> 00:08:01,840 Speaker 1: whole article today on the change, uh with what they're 151 00:08:01,920 --> 00:08:04,360 Speaker 1: kind of calling the g l P one economy. Yeah, 152 00:08:04,440 --> 00:08:06,960 Speaker 1: you know, with with ozempic and we go v all 153 00:08:07,000 --> 00:08:11,280 Speaker 1: these things where now people more and more. First of all, 154 00:08:11,320 --> 00:08:14,119 Speaker 1: everyone wants to wear you know, more sort of form 155 00:08:14,120 --> 00:08:16,920 Speaker 1: fitted and at leisure clothing, and people want to go 156 00:08:17,400 --> 00:08:20,200 Speaker 1: on more travel. Uh, you know, kind of hiking and 157 00:08:20,320 --> 00:08:23,640 Speaker 1: uh and you know, do more adventurous vacations, and people 158 00:08:23,640 --> 00:08:28,520 Speaker 1: are having more sex and are there's actually been a 159 00:08:28,520 --> 00:08:34,080 Speaker 1: big surge in pregnancy tests among the cohort of people 160 00:08:34,120 --> 00:08:37,520 Speaker 1: feel better about their bodies, and they feel more sexually 161 00:08:37,559 --> 00:08:40,319 Speaker 1: desirable probably, and maybe we want to get these as 162 00:08:40,360 --> 00:08:40,840 Speaker 1: a result. 163 00:08:41,080 --> 00:08:44,520 Speaker 2: It's good, you know, this whole positivity thing where. 164 00:08:44,320 --> 00:08:47,040 Speaker 1: They put fat chicks and spandex and we're like, hey, 165 00:08:47,200 --> 00:08:50,120 Speaker 1: go buy Bras and go buy at leisure and all 166 00:08:50,160 --> 00:08:52,840 Speaker 1: this stuff. It turns out nobody actually wants to be 167 00:08:53,240 --> 00:08:56,720 Speaker 1: overweight now and and hopefully these g LPs, which are 168 00:08:56,760 --> 00:08:59,959 Speaker 1: becoming more and more affordable, are going to lead us 169 00:09:00,200 --> 00:09:04,719 Speaker 1: down a pathway where people are healthier. GLP ones did 170 00:09:04,760 --> 00:09:09,640 Speaker 1: to body positivity what body cams did to the BLM movement. 171 00:09:09,840 --> 00:09:13,120 Speaker 1: So that's a good analogy. Why, thank you, thank you. 172 00:09:13,200 --> 00:09:15,360 Speaker 1: I did well on the sat analogies if I remember 173 00:09:15,480 --> 00:09:20,640 Speaker 1: the eliminated the sat analogy section. In fact, Buck, this 174 00:09:20,760 --> 00:09:22,559 Speaker 1: ties in with what I was going to hit you with. 175 00:09:22,640 --> 00:09:25,040 Speaker 1: And I also want to get your take on Venezuela, 176 00:09:25,600 --> 00:09:29,360 Speaker 1: the Ukraine situation, everything else. There's a story in this 177 00:09:29,520 --> 00:09:32,200 Speaker 1: morning's Wall Street Journal and for those of you that 178 00:09:32,240 --> 00:09:35,480 Speaker 1: are watching on video. Yes, this is my old man 179 00:09:35,600 --> 00:09:41,600 Speaker 1: pulling out the newspaper moment college students can't do elementary math. Buck, 180 00:09:42,480 --> 00:09:45,840 Speaker 1: this whole elimination of the SAT. I've been paying attention 181 00:09:45,920 --> 00:09:48,560 Speaker 1: to it because my oldest son is doing his college 182 00:09:48,600 --> 00:09:54,679 Speaker 1: applications right now, and every school is slowly realizing that 183 00:09:54,760 --> 00:09:59,200 Speaker 1: the SAT was actually very predictive of your overall ability 184 00:09:59,240 --> 00:10:03,720 Speaker 1: to do college work. Buck, listen to this. One in 185 00:10:03,920 --> 00:10:09,439 Speaker 1: eight freshmen lack basic high school math skills. Okay, students 186 00:10:09,480 --> 00:10:12,920 Speaker 1: placed in a remedial. This is for the University of California, 187 00:10:13,080 --> 00:10:16,240 Speaker 1: San Diego, according to the Wall Street Journal this morning. 188 00:10:16,520 --> 00:10:22,360 Speaker 1: Listen to this, Buck, because only thirty nine percent. I 189 00:10:22,400 --> 00:10:24,240 Speaker 1: want all of you out there to listen. I'm not 190 00:10:24,280 --> 00:10:26,880 Speaker 1: trying to give you a math test, but listen to this. 191 00:10:27,520 --> 00:10:33,040 Speaker 1: Only thirty nine percent of freshmen at the University of California, 192 00:10:33,160 --> 00:10:39,440 Speaker 1: San Diego. This is evidently an elite California school. Thirty 193 00:10:39,559 --> 00:10:45,080 Speaker 1: nine percent could correctly round this number three thirty. Now 194 00:10:45,080 --> 00:10:50,120 Speaker 1: I'm gonna get myself thirty three hundred and seventy four thousand, 195 00:10:50,280 --> 00:10:55,040 Speaker 1: five hundred and eighteen. Only thirty nine percent could correctly 196 00:10:55,200 --> 00:10:59,720 Speaker 1: round that number to the nearest hundred a third grade 197 00:10:59,760 --> 00:11:06,560 Speaker 1: skill of this elite University of California school. By the way, 198 00:11:06,600 --> 00:11:10,160 Speaker 1: the answer is three hundred and seventy four thousand, five hundred, right, 199 00:11:10,200 --> 00:11:12,640 Speaker 1: you're rounding it down. If it were five hundred and 200 00:11:12,640 --> 00:11:16,600 Speaker 1: fifty one, you would round it up. Only thirty nine 201 00:11:16,640 --> 00:11:22,520 Speaker 1: percent of their admitted students could get that question, right, buck, Yeah, 202 00:11:22,559 --> 00:11:25,920 Speaker 1: this is what happens. This is also what has happened 203 00:11:25,920 --> 00:11:27,920 Speaker 1: in a lot of all these schools Clay that have 204 00:11:27,920 --> 00:11:30,800 Speaker 1: gotten rid of the SAT for applications, they'll say, to 205 00:11:30,920 --> 00:11:32,679 Speaker 1: go back to it. They've all had to go back 206 00:11:32,679 --> 00:11:36,480 Speaker 1: to it because you can't have you can't have any 207 00:11:36,520 --> 00:11:39,480 Speaker 1: real sense as to someone's academic ability. Again, this is 208 00:11:39,520 --> 00:11:41,800 Speaker 1: where it's like, is the test everything? No, they're good 209 00:11:41,800 --> 00:11:45,600 Speaker 1: test takers and bad test takers. Yeah, kind I mean 210 00:11:45,640 --> 00:11:49,360 Speaker 1: people get into that a lot, but quite honestly, as 211 00:11:49,400 --> 00:11:52,600 Speaker 1: a predictive tool, it's very accurate about your academic ability 212 00:11:52,880 --> 00:11:55,560 Speaker 1: to handle these things. They got rid of it, and 213 00:11:55,640 --> 00:11:57,679 Speaker 1: now they're bringing it back, and a lot of us 214 00:11:57,679 --> 00:11:57,880 Speaker 1: are just. 215 00:11:57,920 --> 00:12:01,840 Speaker 2: Saying I told you so. Yeah. Well, the impact of 216 00:12:01,880 --> 00:12:03,280 Speaker 2: it here was great. 217 00:12:03,360 --> 00:12:06,600 Speaker 1: Inflation has occurred to such an extent that SAT and 218 00:12:06,640 --> 00:12:10,280 Speaker 1: ACT have actually become more valuable because it says here 219 00:12:10,800 --> 00:12:13,240 Speaker 1: all these kids that are failing that don't have basic 220 00:12:13,320 --> 00:12:18,679 Speaker 1: math skills, they're actually testing with A grades in calculus 221 00:12:18,720 --> 00:12:21,199 Speaker 1: and in pre cow and stat and all these things 222 00:12:21,200 --> 00:12:25,720 Speaker 1: that should be very easily testable. So the grade itself, 223 00:12:25,840 --> 00:12:29,440 Speaker 1: it's great inflation where everybody gets a's now and you 224 00:12:29,559 --> 00:12:34,280 Speaker 1: basically don't have any foundational knowledge of something simple like math. 225 00:12:34,320 --> 00:12:37,000 Speaker 1: And this is occurring certainly in history, in English and 226 00:12:37,040 --> 00:12:39,960 Speaker 1: other courses too. But in math that the fact that 227 00:12:40,000 --> 00:12:43,160 Speaker 1: only thirty nine percent could correctly round that number. When 228 00:12:43,160 --> 00:12:45,520 Speaker 1: I read that this morning, I said, what are we doing? 229 00:12:45,880 --> 00:12:45,960 Speaker 4: Like? 230 00:12:46,040 --> 00:12:47,920 Speaker 2: What kind of world have we created? 231 00:12:48,280 --> 00:12:53,040 Speaker 1: There are major constituencies for the elimination of objective metrics. 232 00:12:54,120 --> 00:12:58,600 Speaker 1: For one, the entire DEEI apparatus, but also the teachers' 233 00:12:58,640 --> 00:13:03,040 Speaker 1: unions nationwide. The testing gap, as it is generally referred to, 234 00:13:03,040 --> 00:13:05,840 Speaker 1: particularly white and Asian students on one side and black 235 00:13:05,880 --> 00:13:09,280 Speaker 1: and Latino students on the other, has not budged. In fact, 236 00:13:09,320 --> 00:13:11,560 Speaker 1: if anything, that has gotten worse over the last thirty 237 00:13:11,559 --> 00:13:16,240 Speaker 1: forty years. So all of the unbelievable sums of money 238 00:13:16,240 --> 00:13:18,920 Speaker 1: that have been thrown into public education in this country 239 00:13:19,240 --> 00:13:21,920 Speaker 1: have not been able to put even the slightest dent 240 00:13:22,240 --> 00:13:25,280 Speaker 1: if anything that actually has the testing gap has expanded. 241 00:13:25,960 --> 00:13:27,680 Speaker 1: So get rid of the numbers. 242 00:13:27,679 --> 00:13:28,839 Speaker 2: Play if you. 243 00:13:28,760 --> 00:13:31,640 Speaker 1: Can't, if you can't fix the problem the numbers show, 244 00:13:31,760 --> 00:13:34,240 Speaker 1: get rid of the numbers. This is the game that 245 00:13:34,280 --> 00:13:36,760 Speaker 1: they have been playing in higher ed for a long time. 246 00:13:37,280 --> 00:13:41,000 Speaker 1: And there are very powerful constituencies that don't want there 247 00:13:41,040 --> 00:13:45,320 Speaker 1: to be any accountability, any truth, any honesty in any 248 00:13:45,360 --> 00:13:47,400 Speaker 1: of this. And this is when you get people that 249 00:13:47,440 --> 00:13:49,640 Speaker 1: have straight a's that are going to college who can't 250 00:13:49,640 --> 00:13:54,360 Speaker 1: do fractions. They you know, they can't article all about 251 00:13:54,480 --> 00:13:57,920 Speaker 1: and I read it half in three eighths. No idea, 252 00:13:58,559 --> 00:14:01,280 Speaker 1: no idea. I mean, you know, I'm not a math guy, 253 00:14:01,800 --> 00:14:03,120 Speaker 1: but I do think you should be able to do 254 00:14:03,160 --> 00:14:08,079 Speaker 1: fractions when you're in college. And again it goes to 255 00:14:08,160 --> 00:14:13,040 Speaker 1: the meritocracy itself, which is the best, brightest among us. 256 00:14:13,040 --> 00:14:15,480 Speaker 1: And by the way, the impact on this is devastating 257 00:14:15,480 --> 00:14:18,200 Speaker 1: when it comes to producing as you might imagine kids 258 00:14:18,240 --> 00:14:22,280 Speaker 1: who can actually major in engineering or math related fields 259 00:14:22,560 --> 00:14:25,760 Speaker 1: or be involved in the quote unquote hard sciences that 260 00:14:25,800 --> 00:14:28,480 Speaker 1: have real answers where you can't just you and I, 261 00:14:28,480 --> 00:14:30,160 Speaker 1: I mean I was a history major. You can kind 262 00:14:30,200 --> 00:14:33,440 Speaker 1: of be s your way sometimes through history arguments. Certainly 263 00:14:33,480 --> 00:14:35,600 Speaker 1: you can be s yourself through a lot of English 264 00:14:35,680 --> 00:14:38,720 Speaker 1: social science as majors. But I saw this and I 265 00:14:38,800 --> 00:14:41,600 Speaker 1: just said it should be I think the White House 266 00:14:41,600 --> 00:14:44,680 Speaker 1: should even get involved on this. If you're taking federal dollars, 267 00:14:44,720 --> 00:14:47,360 Speaker 1: you should have to do standardized tests, and the best 268 00:14:47,400 --> 00:14:50,280 Speaker 1: and brightest should get admitted to the best schools period. 269 00:14:50,480 --> 00:14:54,000 Speaker 1: That should be the reality. And again, to your point, 270 00:14:54,320 --> 00:14:57,720 Speaker 1: testing doesn't always guarantee success. There's tons of super smart 271 00:14:57,800 --> 00:15:00,880 Speaker 1: kids who end up disasters. It does give you a 272 00:15:01,040 --> 00:15:05,960 Speaker 1: general baseline aptitude test compared to everyone else around the nation, 273 00:15:06,400 --> 00:15:09,360 Speaker 1: and these schools, if they want to be elite academic institutions, 274 00:15:09,680 --> 00:15:13,800 Speaker 1: should should be admitting the smartest kids, regardless of what 275 00:15:13,840 --> 00:15:18,280 Speaker 1: their backgrounds are. Today, buried behind the new stories that 276 00:15:18,320 --> 00:15:21,600 Speaker 1: are getting headlines, there's a long term struggle, but a 277 00:15:21,640 --> 00:15:24,560 Speaker 1: critical one going on in the minds of thousands of 278 00:15:24,560 --> 00:15:28,480 Speaker 1: women across the country contesting with an unplanned pregnancy. They've 279 00:15:28,480 --> 00:15:32,080 Speaker 1: got options, but a lot of them, unfortunately point toward 280 00:15:32,400 --> 00:15:35,200 Speaker 1: abortion and planned parenthood, and that choice that can never 281 00:15:35,240 --> 00:15:38,680 Speaker 1: be taken back. Nearly one in four pregnancies and an abortion. 282 00:15:38,760 --> 00:15:42,920 Speaker 1: That's over three thousand lives lost every single day. But 283 00:15:43,160 --> 00:15:46,720 Speaker 1: there is hope. One prominent nonprofit is doing everything they 284 00:15:46,760 --> 00:15:49,600 Speaker 1: can to make that number as small as possible and 285 00:15:49,720 --> 00:15:52,400 Speaker 1: save as many tiny babies each and every day as 286 00:15:52,440 --> 00:15:56,160 Speaker 1: they can. That's the Preborn Network of Clinics. Preborn is 287 00:15:56,200 --> 00:16:00,120 Speaker 1: out there suggesting that these mothers in crisis come in 288 00:16:00,120 --> 00:16:04,080 Speaker 1: in for love, understanding, and support so that they feel 289 00:16:04,080 --> 00:16:07,280 Speaker 1: comfortable bringing their baby into this world. The Preborn Clinics 290 00:16:07,280 --> 00:16:10,080 Speaker 1: provide a free ultrasound to introduce mom to baby, and 291 00:16:10,120 --> 00:16:13,560 Speaker 1: that moment changes everything. Over three hundred and fifty thousand 292 00:16:13,560 --> 00:16:16,160 Speaker 1: babies have been saved through this life giving work. So 293 00:16:16,240 --> 00:16:18,520 Speaker 1: many mothers have an entirely new outlook and a love 294 00:16:18,520 --> 00:16:21,240 Speaker 1: in their heart. Just twenty eight dollars a month can 295 00:16:21,320 --> 00:16:23,600 Speaker 1: save a life. And that's all that it would take 296 00:16:23,640 --> 00:16:26,480 Speaker 1: from you right now. Twenty eight dollars a month you 297 00:16:26,520 --> 00:16:29,680 Speaker 1: could save live throughout the year. That's the price of 298 00:16:29,680 --> 00:16:32,720 Speaker 1: one of these free ultrasounds that Preborn gives this Christmas season, 299 00:16:33,080 --> 00:16:37,240 Speaker 1: Please consider a gift that will support life. Dial pound 300 00:16:37,240 --> 00:16:40,400 Speaker 1: two fifty and say the keyword baby. That's pound two 301 00:16:40,520 --> 00:16:42,920 Speaker 1: five zero say the word baby or go to preborn 302 00:16:42,960 --> 00:16:46,480 Speaker 1: dot com slash buck preborn dot com slash. 303 00:16:46,200 --> 00:16:47,480 Speaker 2: B u c K. 304 00:16:49,640 --> 00:16:53,560 Speaker 5: News you can count on and some laughs too, Clay 305 00:16:53,600 --> 00:16:57,359 Speaker 5: Travis and Buck Sex. Find them on the free iHeartRadio 306 00:16:57,400 --> 00:16:59,880 Speaker 5: app or wherever you get your podcasts. 307 00:17:00,040 --> 00:17:01,920 Speaker 1: All right, welcome back in here to play in Buck. 308 00:17:02,200 --> 00:17:08,000 Speaker 1: We got a caller, Don in Oklahoma, a retired chemistry professor. 309 00:17:08,280 --> 00:17:11,919 Speaker 1: I wonder if Don's favorite show is Breaking Bad, but 310 00:17:11,960 --> 00:17:13,680 Speaker 1: he wants to talk to us about something else. What's 311 00:17:13,680 --> 00:17:14,000 Speaker 1: going on? 312 00:17:14,080 --> 00:17:14,320 Speaker 2: Don? 313 00:17:16,480 --> 00:17:21,080 Speaker 6: I retired from the third largest university teaching chemistry, and 314 00:17:21,200 --> 00:17:25,000 Speaker 6: I teach the students how to do algebra. But the 315 00:17:25,160 --> 00:17:30,119 Speaker 6: kicker was they can't multiply two times three. How much 316 00:17:30,119 --> 00:17:31,200 Speaker 6: is gonna get my taculated? 317 00:17:31,800 --> 00:17:34,760 Speaker 1: How much worse has it gotten you taught presumably for 318 00:17:34,800 --> 00:17:38,640 Speaker 1: a long time. How much worse has preparation for students gotten. 319 00:17:40,880 --> 00:17:45,800 Speaker 6: Terribly worse? I started in Sidney seven and retired a 320 00:17:45,840 --> 00:17:49,760 Speaker 6: couple of years ago, and it's from the last ten 321 00:17:49,840 --> 00:17:52,000 Speaker 6: years it's just plummeted. 322 00:17:52,800 --> 00:17:53,040 Speaker 4: Yeah. 323 00:17:53,080 --> 00:17:54,600 Speaker 1: Well, a lot of people are going to college that 324 00:17:54,640 --> 00:17:57,359 Speaker 1: aren't ready and honestly should probably not even really think 325 00:17:57,359 --> 00:17:59,119 Speaker 1: about a four year degree. Because they're not going to 326 00:17:59,200 --> 00:18:01,320 Speaker 1: use whatever they think they're we're going to pretend to learn. 327 00:18:01,480 --> 00:18:04,119 Speaker 1: Thanks for calling in, don. The price to silver this 328 00:18:04,200 --> 00:18:07,000 Speaker 1: year has gone up even more than the price of gold, 329 00:18:07,040 --> 00:18:09,320 Speaker 1: and that's really saying something. Because gold is up more 330 00:18:09,359 --> 00:18:12,000 Speaker 1: than sixty percent this calendar year, silver has gone up 331 00:18:12,040 --> 00:18:15,680 Speaker 1: even more. You know why this is uncertainty and parts 332 00:18:15,680 --> 00:18:19,040 Speaker 1: of the world lingering inflation forty trillion dollars in debt. 333 00:18:19,080 --> 00:18:22,680 Speaker 1: Here we come central banks taking action by buying up 334 00:18:22,760 --> 00:18:26,280 Speaker 1: precious metals. Birch Gold Group wants you to own silver 335 00:18:26,440 --> 00:18:28,560 Speaker 1: as much as you might own gold. They know the 336 00:18:28,600 --> 00:18:31,119 Speaker 1: long term value of each precious metal is only going 337 00:18:31,200 --> 00:18:33,720 Speaker 1: to grow in the future, and that's why for every 338 00:18:33,800 --> 00:18:36,040 Speaker 1: five thousand dollars you purchase in gold between now and 339 00:18:36,040 --> 00:18:38,240 Speaker 1: December twenty second, Birch Gold will send you an ounce 340 00:18:38,280 --> 00:18:38,760 Speaker 1: of silver. 341 00:18:39,280 --> 00:18:39,920 Speaker 2: Diversify. 342 00:18:40,040 --> 00:18:42,800 Speaker 1: Let Birch Gold Group help you convert an existing IRA 343 00:18:43,000 --> 00:18:45,679 Speaker 1: or four oh one k into attack sheltered IRA in 344 00:18:45,800 --> 00:18:48,520 Speaker 1: physical gold, and for every five thousand dollars you buy, 345 00:18:48,680 --> 00:18:51,240 Speaker 1: you'll get an ounce of silver. Just text my name 346 00:18:51,280 --> 00:18:53,160 Speaker 1: Buck to ninety eight ninety eight ninety eight to claimer 347 00:18:53,240 --> 00:18:57,360 Speaker 1: eligibility for this offer. Text buck to ninety eight, ninety eight, 348 00:18:57,480 --> 00:19:01,520 Speaker 1: ninety eight today, welcome back in m clay Travis buck 349 00:19:01,640 --> 00:19:04,240 Speaker 1: Sexton Show. Appreciate all of you hanging out with us, 350 00:19:04,400 --> 00:19:08,919 Speaker 1: a lot of you coming out of Thanksgiving holiday. Maybe 351 00:19:08,960 --> 00:19:12,359 Speaker 1: there were conversations that you had with people who hated 352 00:19:12,600 --> 00:19:16,119 Speaker 1: President Trump. Maybe you've had had them in the past 353 00:19:16,280 --> 00:19:19,679 Speaker 1: over the last decade. Maybe you have friends and family 354 00:19:19,720 --> 00:19:23,639 Speaker 1: that you have lost potentially because they have become so 355 00:19:23,960 --> 00:19:29,080 Speaker 1: deranged when it comes to President Trump and the way 356 00:19:28,880 --> 00:19:32,240 Speaker 1: that they see him. I read in the Wall Street 357 00:19:32,280 --> 00:19:38,120 Speaker 1: Journal a great write up on Trump derangement syndrome from 358 00:19:38,160 --> 00:19:42,800 Speaker 1: our current guest Jonathan Albert as almost its own psychiatric 359 00:19:42,920 --> 00:19:46,760 Speaker 1: psychological diagnosis, and we said, okay, we got to get 360 00:19:46,760 --> 00:19:50,320 Speaker 1: this guy on and he is now with us. This 361 00:19:50,440 --> 00:19:55,280 Speaker 1: is Jonathan Albert. I loved your piece. For people who 362 00:19:55,320 --> 00:19:58,879 Speaker 1: have not read it. You're a psychotherapist New York and DC, 363 00:20:00,040 --> 00:20:02,399 Speaker 1: and you've got a book called Therapy Nation about all 364 00:20:02,440 --> 00:20:06,080 Speaker 1: the different aspects of therapy going on. But when you 365 00:20:06,400 --> 00:20:11,520 Speaker 1: see people who it appears, frankly, do have Trump derangement syndrome, 366 00:20:11,720 --> 00:20:14,359 Speaker 1: is that a real thing? Kind of take people through 367 00:20:14,359 --> 00:20:17,560 Speaker 1: the argument that you made in the Wall Street Journal editorial. 368 00:20:18,720 --> 00:20:22,159 Speaker 4: Yeah, and play great to be here. It's not a 369 00:20:22,200 --> 00:20:25,560 Speaker 4: real thing. However, it probably should be a real thing. 370 00:20:25,600 --> 00:20:28,879 Speaker 4: But I don't think we'll ever see it in the DSM, 371 00:20:28,960 --> 00:20:32,479 Speaker 4: which is sort of the bible of psychiatric disorders in 372 00:20:32,480 --> 00:20:38,040 Speaker 4: my profession. But what I have seen is quite troubling 373 00:20:38,119 --> 00:20:42,320 Speaker 4: with seeing families split up, with seeing people obsessed with Trump. 374 00:20:42,320 --> 00:20:46,600 Speaker 4: They're hyper fixated on Trump, and frankly, it's ruining their 375 00:20:46,640 --> 00:20:48,760 Speaker 4: mental health. And I would go so far as to 376 00:20:48,840 --> 00:20:52,360 Speaker 4: call it a in some ways a mental health epidemic 377 00:20:52,440 --> 00:20:56,359 Speaker 4: that's focused or revolves around Trump. And I don't care 378 00:20:56,400 --> 00:20:59,719 Speaker 4: if it's Trump or Biden or Harris or anyone. If 379 00:20:59,760 --> 00:21:03,520 Speaker 4: you're that hyper fiictated on a figure, you need to 380 00:21:03,600 --> 00:21:05,760 Speaker 4: check in with a therapist, someone like me. 381 00:21:06,640 --> 00:21:09,720 Speaker 1: Now Jonathan appreciates you being with us. It's buck the 382 00:21:10,880 --> 00:21:15,320 Speaker 1: what would be the the things to look for where someone, 383 00:21:15,400 --> 00:21:19,199 Speaker 1: I mean you said things like hyper fixated? You know, 384 00:21:19,760 --> 00:21:22,520 Speaker 1: what are some of the the red lines that somebody 385 00:21:22,560 --> 00:21:24,720 Speaker 1: would want to look at where something goes from just 386 00:21:24,800 --> 00:21:30,680 Speaker 1: being a very perhaps over zealous belief or very over 387 00:21:30,800 --> 00:21:35,040 Speaker 1: zealous thoughts about in this case of politician, to where 388 00:21:35,080 --> 00:21:38,600 Speaker 1: it actually is clinical because what I see myself as 389 00:21:38,640 --> 00:21:42,640 Speaker 1: a non medical, non psychoanalyst is a lot of people 390 00:21:43,160 --> 00:21:49,200 Speaker 1: who have a bizarre, irrational and really delusional fear themselves personally. 391 00:21:49,280 --> 00:21:53,680 Speaker 1: Like I know people who lose truly lose sleep at night. 392 00:21:54,000 --> 00:21:56,159 Speaker 1: I mean they've told me this because they're worried that 393 00:21:56,160 --> 00:21:57,840 Speaker 1: Trump is going to just pull them off that Like 394 00:21:57,840 --> 00:21:59,879 Speaker 1: Trump is going to have people pull them off the 395 00:22:00,119 --> 00:22:02,840 Speaker 1: street and throw them into a cell somewhere for no reason. 396 00:22:03,359 --> 00:22:07,439 Speaker 1: Like how different is that from somebody who's agoraphobic or something. 397 00:22:08,640 --> 00:22:11,159 Speaker 4: Yeah, and Buckett's it's not too different if you're at 398 00:22:11,200 --> 00:22:14,680 Speaker 4: the point where you are losing sleep over our president, 399 00:22:14,920 --> 00:22:17,760 Speaker 4: or if you, like some of my patients can't enjoy 400 00:22:17,880 --> 00:22:22,560 Speaker 4: a vacation because quote, how can I possibly relax and 401 00:22:22,720 --> 00:22:27,200 Speaker 4: enjoy a vacation knowing that Trump's in office. You're sick, 402 00:22:27,320 --> 00:22:31,920 Speaker 4: You've got issues. And similar to other mental health issues 403 00:22:31,960 --> 00:22:35,359 Speaker 4: that we see, whether it's OCD or anxiety disorders, it 404 00:22:35,480 --> 00:22:39,800 Speaker 4: disrupts a person's life. It impairs relationships, whether it's romantic 405 00:22:39,880 --> 00:22:44,520 Speaker 4: relationships or work relationships or friendships. This is when it 406 00:22:44,640 --> 00:22:48,280 Speaker 4: rises to the level of pathologic and that's where I 407 00:22:48,440 --> 00:22:51,760 Speaker 4: become greatly concerned and if you look back over the 408 00:22:51,800 --> 00:22:56,800 Speaker 4: past decade, when Trump first entered our world as a politician, 409 00:22:57,560 --> 00:23:00,240 Speaker 4: I mean, I had patients who were ready to leave 410 00:23:00,320 --> 00:23:03,760 Speaker 4: the country. I actually know some who did flee the country, 411 00:23:04,480 --> 00:23:06,679 Speaker 4: and I would remind them that the fact that you 412 00:23:06,720 --> 00:23:09,560 Speaker 4: can get out there and protest, even in front of 413 00:23:09,600 --> 00:23:12,399 Speaker 4: Trump's house, is a good reason to stay here. But 414 00:23:13,080 --> 00:23:15,240 Speaker 4: the problem is people aren't looking at this in a 415 00:23:15,359 --> 00:23:19,040 Speaker 4: rational way. They're quite irrational. They do think that Trump 416 00:23:19,119 --> 00:23:21,440 Speaker 4: is going to round people up and send them off 417 00:23:21,480 --> 00:23:25,240 Speaker 4: to a island somewhere. They think that Trump is a Nazi. 418 00:23:26,080 --> 00:23:29,520 Speaker 4: So I've heard all sorts of outrageous statements like that, 419 00:23:29,680 --> 00:23:32,719 Speaker 4: and as a therapist, I try to confront them and 420 00:23:33,040 --> 00:23:35,360 Speaker 4: help them see things rationally. And with some of those 421 00:23:35,359 --> 00:23:38,399 Speaker 4: people I'm successful, and others, frankly, I'm not. 422 00:23:39,240 --> 00:23:42,600 Speaker 1: How do you handle people in your friend or family 423 00:23:42,720 --> 00:23:47,360 Speaker 1: circle that are just crazy and are suffering from this, right? 424 00:23:47,520 --> 00:23:50,560 Speaker 1: I mean, because I think that is probably something that 425 00:23:50,600 --> 00:23:52,719 Speaker 1: a lot of people out there, particularly in the social 426 00:23:52,760 --> 00:23:55,040 Speaker 1: media age. I mean, I grew up. I remember my 427 00:23:55,080 --> 00:23:58,760 Speaker 1: grandma saying you never talk about politics or religion. Now 428 00:23:59,119 --> 00:24:03,200 Speaker 1: certainly talk about politics all the time, particularly on social media. 429 00:24:03,320 --> 00:24:05,960 Speaker 1: So you may just come across it on Facebook, or 430 00:24:06,000 --> 00:24:08,760 Speaker 1: you may come across it. And like I said, in 431 00:24:08,800 --> 00:24:11,719 Speaker 1: your own family or in Thanksgiving, how do you handle 432 00:24:11,760 --> 00:24:15,639 Speaker 1: people that are, in your opinion, meaning the family member 433 00:24:15,880 --> 00:24:19,720 Speaker 1: truly gone crazy over the Trump situation. I'll give an example. 434 00:24:20,000 --> 00:24:22,480 Speaker 1: This is not Trump directly. We had a family member 435 00:24:23,600 --> 00:24:26,920 Speaker 1: that a younger I don't want to get too specifical, 436 00:24:26,960 --> 00:24:32,480 Speaker 1: but celebrated on social media Charlie Kirk getting shot and 437 00:24:33,000 --> 00:24:33,760 Speaker 1: I was stunned. 438 00:24:33,800 --> 00:24:34,879 Speaker 2: I couldn't believe it. 439 00:24:35,240 --> 00:24:37,520 Speaker 1: Maybe some of you have had, you know, in your 440 00:24:37,640 --> 00:24:40,720 Speaker 1: larger family circles, things like that happen. How do you 441 00:24:40,880 --> 00:24:45,280 Speaker 1: handle people who are dealing with this that seem unwell 442 00:24:45,320 --> 00:24:48,760 Speaker 1: to you? What should you do as a person if 443 00:24:48,800 --> 00:24:50,880 Speaker 1: that's in your friend or family circle. 444 00:24:52,040 --> 00:24:56,119 Speaker 4: Yeah, and I too witnessed people who were celebrating the 445 00:24:56,160 --> 00:24:59,399 Speaker 4: horrific murder of Charlie Kirk. I told the story of 446 00:24:59,560 --> 00:25:03,119 Speaker 4: overhand hearing two cashiers at Trader Joe's talking about it 447 00:25:03,160 --> 00:25:08,760 Speaker 4: and celebrating it. And what's happened is people have demonized figures, 448 00:25:08,800 --> 00:25:13,960 Speaker 4: whether it's Kirk or Trump, and they've learned to hate them, 449 00:25:13,960 --> 00:25:16,080 Speaker 4: and they feel like it's their duty to take them out. 450 00:25:16,119 --> 00:25:19,280 Speaker 4: But when you have a family member that's speaking like that, 451 00:25:20,119 --> 00:25:21,919 Speaker 4: I think you need to try to confront them. I 452 00:25:21,920 --> 00:25:24,919 Speaker 4: think you need to ask them, you know, why do 453 00:25:24,960 --> 00:25:28,119 Speaker 4: you feel like it's your duty to take this person 454 00:25:28,160 --> 00:25:32,000 Speaker 4: out or demonize this person or speak ill of the person. 455 00:25:34,040 --> 00:25:36,640 Speaker 4: You know, it's not healthy for them to be consumed 456 00:25:37,280 --> 00:25:40,719 Speaker 4: by that figure. So you know, I think you can 457 00:25:40,760 --> 00:25:43,920 Speaker 4: try to gently confront them, see how they react, See 458 00:25:43,960 --> 00:25:46,960 Speaker 4: if you can work with them in that way. Other 459 00:25:47,040 --> 00:25:50,560 Speaker 4: people are beyond repair and they'll believe what they want 460 00:25:50,600 --> 00:25:53,399 Speaker 4: to believe. The other problem that we're seeing that you 461 00:25:53,480 --> 00:25:57,920 Speaker 4: mentioned is social media. People are in these echo chambers. 462 00:25:58,880 --> 00:26:03,439 Speaker 4: They only surround themsel else with one opinion. They feel 463 00:26:03,440 --> 00:26:07,960 Speaker 4: that the world is conspiring against them. So we've got 464 00:26:08,000 --> 00:26:10,359 Speaker 4: a lot of work to do if we're going to 465 00:26:10,400 --> 00:26:13,520 Speaker 4: try to get back to what we saw in the eighties. 466 00:26:13,640 --> 00:26:19,440 Speaker 4: After Reagan was shot, his surgeon famously said, today, mister President, 467 00:26:19,480 --> 00:26:22,800 Speaker 4: we're all Republicans, but wouldn't it be great to get 468 00:26:22,800 --> 00:26:24,000 Speaker 4: back to a time like that? 469 00:26:24,600 --> 00:26:25,520 Speaker 2: Yeah? 470 00:26:25,880 --> 00:26:32,119 Speaker 1: Yeah, I'm wondering also where the mental health profession is 471 00:26:32,200 --> 00:26:34,399 Speaker 1: on this more broadly, And I would just say this, 472 00:26:35,480 --> 00:26:40,240 Speaker 1: I am aware, sir, that your profession is based on 473 00:26:40,280 --> 00:26:44,400 Speaker 1: the numbers and the data, I believe the single most, 474 00:26:44,600 --> 00:26:48,600 Speaker 1: the single most left wing medical profession that is out there. 475 00:26:49,480 --> 00:26:53,760 Speaker 1: Is that really the reason why there isn't more of 476 00:26:53,800 --> 00:26:57,480 Speaker 1: a push to treat Trump derangement syndrome, even if they're 477 00:26:57,480 --> 00:27:00,000 Speaker 1: not going to name it, to treat it as an anxiety. 478 00:27:00,480 --> 00:27:03,320 Speaker 1: I mean, I wonder how many psychiatrists have Trump arrangement syndrome. 479 00:27:03,359 --> 00:27:07,040 Speaker 1: If I can just put a point on this, well, buck. 480 00:27:06,920 --> 00:27:09,480 Speaker 4: Let me put it this way. Since my Wall Street 481 00:27:09,520 --> 00:27:13,520 Speaker 4: Journal piece came out, and since appearing on Fox TV, 482 00:27:13,760 --> 00:27:18,359 Speaker 4: I've received too many to count hate emails from my 483 00:27:18,520 --> 00:27:24,440 Speaker 4: colleagues from therapists wishing me dead, labeling me a pedophile, protector, 484 00:27:25,359 --> 00:27:32,439 Speaker 4: absolutely unhinged, vile emails from licensed mental health professionals. So 485 00:27:32,480 --> 00:27:35,320 Speaker 4: that tells you what you need to know about my profession, 486 00:27:35,920 --> 00:27:40,480 Speaker 4: and you're right, it's dominated by liberals. But that said, 487 00:27:40,520 --> 00:27:45,040 Speaker 4: I also received very supportive emails from colleagues, so I 488 00:27:45,080 --> 00:27:50,080 Speaker 4: think there are probably some closeted conservative therapists out there. 489 00:27:51,040 --> 00:27:54,040 Speaker 4: But yeah, I mean, we have people who think I'm 490 00:27:54,080 --> 00:28:00,360 Speaker 4: absolutely crazy because I'm identifying a trend that is over 491 00:28:00,400 --> 00:28:04,400 Speaker 4: the past decade, and I genuinely care about these people's 492 00:28:04,920 --> 00:28:07,159 Speaker 4: mental health, the people that I'm seeing, and would like 493 00:28:07,240 --> 00:28:10,200 Speaker 4: them to start to be healthier and look at things 494 00:28:10,240 --> 00:28:11,520 Speaker 4: in a more rational manner. 495 00:28:12,119 --> 00:28:15,679 Speaker 1: We're talking to Jonathan Albert. I'm curious one of the 496 00:28:15,680 --> 00:28:20,639 Speaker 1: big discussions here. Trump came down the escalator twenty fifteen, 497 00:28:20,920 --> 00:28:24,959 Speaker 1: So we've had a decade of Trump derangement syndrome. Do 498 00:28:25,040 --> 00:28:28,400 Speaker 1: you believe that this syndrome, to the extent that it exists, 499 00:28:28,440 --> 00:28:32,240 Speaker 1: that is uniquely focused on Trump, does it translate to 500 00:28:32,760 --> 00:28:36,680 Speaker 1: or transfer to other Republicans in a post Trump era? 501 00:28:37,200 --> 00:28:41,200 Speaker 1: What will these people when Trump exits the stage, as 502 00:28:41,240 --> 00:28:45,200 Speaker 1: he will in January of twenty twenty nine, What do 503 00:28:45,280 --> 00:28:47,880 Speaker 1: you think is likely to happen to their mental health 504 00:28:47,880 --> 00:28:48,880 Speaker 1: at that point in time. 505 00:28:50,160 --> 00:28:53,800 Speaker 4: Well, it'd be shocked if that suddenly improved once Trump 506 00:28:53,960 --> 00:28:56,640 Speaker 4: left office. I think there are some people out there 507 00:28:56,680 --> 00:29:00,840 Speaker 4: that always need an object, a person to eight, and 508 00:29:00,920 --> 00:29:04,080 Speaker 4: if it's not Trump, it might be Rubio or JD 509 00:29:04,320 --> 00:29:08,120 Speaker 4: or whoever may may take over in twenty twenty eight. 510 00:29:08,200 --> 00:29:11,040 Speaker 4: So I do think these people need something to hate. 511 00:29:11,080 --> 00:29:13,800 Speaker 4: And we're actually seeing this play out in New York 512 00:29:13,840 --> 00:29:18,680 Speaker 4: where I am the anti Israel protests have ended, and 513 00:29:18,720 --> 00:29:22,440 Speaker 4: now I think over the weekend we saw several anti 514 00:29:22,640 --> 00:29:26,120 Speaker 4: ice protests. So there are some people who always need 515 00:29:26,320 --> 00:29:30,080 Speaker 4: to be fighting and need what they perceive as a 516 00:29:30,120 --> 00:29:33,320 Speaker 4: cause to fight for. And we'll see what happens in 517 00:29:33,360 --> 00:29:34,040 Speaker 4: a few years. 518 00:29:34,880 --> 00:29:38,720 Speaker 1: It is interesting because I we appreciate your time. I 519 00:29:38,800 --> 00:29:41,560 Speaker 1: was watching a video somebody put it together a compilation buck, 520 00:29:41,600 --> 00:29:43,560 Speaker 1: I should have sent it to you two of all 521 00:29:43,600 --> 00:29:46,640 Speaker 1: these people like losing their minds to protest in favor 522 00:29:46,640 --> 00:29:50,520 Speaker 1: of BLM five years ago, and all the crazy videos 523 00:29:50,520 --> 00:29:52,520 Speaker 1: they were making and everything else. And then you know, 524 00:29:52,560 --> 00:29:54,840 Speaker 1: it's kind of a joke, but the same people took 525 00:29:54,880 --> 00:29:57,720 Speaker 1: the BLM slogan and then had the Ukraine flag in 526 00:29:57,800 --> 00:29:58,920 Speaker 1: their profile. 527 00:29:59,440 --> 00:30:00,000 Speaker 2: Do you see that? 528 00:30:00,080 --> 00:30:03,160 Speaker 1: As people have some sort of absence in their life 529 00:30:03,200 --> 00:30:06,600 Speaker 1: and so they are constantly seeking the next thing, whatever 530 00:30:06,640 --> 00:30:08,920 Speaker 1: it is, wear a mask, get a shot, Like there's 531 00:30:09,080 --> 00:30:15,160 Speaker 1: jumping from one sort of social obsession to another. Has 532 00:30:15,200 --> 00:30:18,040 Speaker 1: that become more prevalent? I think in a social media age. 533 00:30:19,120 --> 00:30:23,360 Speaker 4: It has, And probably before BLM we saw Occupy Wall 534 00:30:23,400 --> 00:30:28,600 Speaker 4: Street way back, so yeah, yes, And they probably have 535 00:30:29,280 --> 00:30:33,960 Speaker 4: an emptiness or disdain in their life for something and 536 00:30:34,560 --> 00:30:36,400 Speaker 4: they just want to be part of a cause, and 537 00:30:37,000 --> 00:30:42,200 Speaker 4: I think these causes, whether it's Occupy Wall Street or Israel, 538 00:30:42,360 --> 00:30:46,680 Speaker 4: Anti Israel, or BLM, it's like a big group therapy 539 00:30:46,720 --> 00:30:49,960 Speaker 4: session that amounts to absolutely nothing. It's not making these 540 00:30:50,000 --> 00:30:54,440 Speaker 4: people healthier. I'll share a story with you after one 541 00:30:54,480 --> 00:30:58,320 Speaker 4: of the No Kings riots, I was walking around Manhattan 542 00:30:59,800 --> 00:31:05,680 Speaker 4: and admiring the heaping high pile of anti Trump signs, 543 00:31:05,920 --> 00:31:09,080 Speaker 4: and someone came up to me and said, isn't this beautiful? 544 00:31:09,520 --> 00:31:12,160 Speaker 4: And I said not really, I kind of support our 545 00:31:12,200 --> 00:31:14,479 Speaker 4: president and think he's doing a good job. And she 546 00:31:14,640 --> 00:31:19,480 Speaker 4: went absolutely not and started cursing me, not even knowing 547 00:31:19,480 --> 00:31:22,840 Speaker 4: who I was. Much like the emails that I'm getting 548 00:31:22,840 --> 00:31:26,440 Speaker 4: from these strangers since my Wall Street journal piece hit. 549 00:31:27,280 --> 00:31:30,400 Speaker 4: I can't imagine sending a stranger that I may see 550 00:31:30,920 --> 00:31:33,800 Speaker 4: on TV and email telling them how much I hate them. 551 00:31:34,280 --> 00:31:36,719 Speaker 4: But that might be the difference between someone with a 552 00:31:36,960 --> 00:31:39,080 Speaker 4: rational mind and an air rational mind. 553 00:31:39,920 --> 00:31:43,880 Speaker 1: How do we get more right wing mental health professionals? 554 00:31:45,680 --> 00:31:47,840 Speaker 4: You know? I wish I knew. I'm part of a 555 00:31:47,880 --> 00:31:51,880 Speaker 4: small group of conservative therapists who are fed up with 556 00:31:52,000 --> 00:31:58,920 Speaker 4: the wokeism that's infiltrated our profession. My forthcoming book Therapy 557 00:31:59,000 --> 00:32:04,840 Speaker 4: Nation does touch on this, how our graduate programs, our 558 00:32:04,880 --> 00:32:09,440 Speaker 4: profession are just dominated by social justice warriors. So I 559 00:32:09,440 --> 00:32:11,680 Speaker 4: think the more people like me that can get out 560 00:32:11,720 --> 00:32:15,240 Speaker 4: there and who aren't afraid to speak their mind and 561 00:32:15,480 --> 00:32:21,560 Speaker 4: be okay with conservative values and put their thoughts out there, 562 00:32:21,800 --> 00:32:24,440 Speaker 4: the better will be as a nation, the healthier will 563 00:32:24,480 --> 00:32:26,920 Speaker 4: be and will be far less divided. 564 00:32:27,800 --> 00:32:29,120 Speaker 2: Thank you, Jonathan Albert. 565 00:32:29,280 --> 00:32:31,640 Speaker 1: I encourage people to check out the book and we 566 00:32:31,720 --> 00:32:34,840 Speaker 1: will share that Wall Street Journal editorial you wrote as 567 00:32:34,840 --> 00:32:37,400 Speaker 1: some people may be dealing with some of this in 568 00:32:37,440 --> 00:32:40,400 Speaker 1: the post Thanksgiving eraon which we currently live. 569 00:32:40,440 --> 00:32:41,160 Speaker 2: Thank you so much. 570 00:32:41,400 --> 00:32:43,280 Speaker 4: Yeah, thank you very much. 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Give the gift of memories to 589 00:33:48,280 --> 00:33:52,240 Speaker 1: your family at legacybox dot com slash clay for sixty 590 00:33:52,280 --> 00:33:53,280 Speaker 1: five percent off. 591 00:33:54,640 --> 00:33:58,880 Speaker 7: Making America great again isn't just one man, It's many. 592 00:33:59,120 --> 00:34:03,480 Speaker 7: The teamcast Sunday's at noon Eastern in the Clay and 593 00:34:03,600 --> 00:34:06,920 Speaker 7: Buck podcast feed. Find it on the iHeartRadio app or 594 00:34:06,960 --> 00:34:08,799 Speaker 7: wherever you get your podcasts. 595 00:34:09,000 --> 00:34:11,280 Speaker 1: All right, we're closing up shop on to Play and Buck. 596 00:34:11,400 --> 00:34:15,359 Speaker 1: First show of the week, first show of December. I 597 00:34:15,400 --> 00:34:19,840 Speaker 1: cannot believe how quickly the holidays are upon us. We 598 00:34:19,920 --> 00:34:22,440 Speaker 1: just had Thanksgiving. It was great. I need to I 599 00:34:22,440 --> 00:34:24,040 Speaker 1: need to get my steps in man. I need to 600 00:34:24,040 --> 00:34:27,080 Speaker 1: get back on my walking regimen. Clay nightly. I've been 601 00:34:27,120 --> 00:34:30,359 Speaker 1: a little bit of a walking dilettante in the last 602 00:34:30,400 --> 00:34:33,200 Speaker 1: couple of months, and the buckster is starting to get 603 00:34:33,200 --> 00:34:35,560 Speaker 1: a dad A dad bought again. I can't can't do it, 604 00:34:35,920 --> 00:34:39,359 Speaker 1: can't do it. Gotta get out there and walking, Gotta 605 00:34:39,400 --> 00:34:43,480 Speaker 1: watch the portion sizes, Gotta do some strength training. So uh, 606 00:34:43,800 --> 00:34:46,319 Speaker 1: you know, because because Christmas again, I'm gonna go to 607 00:34:46,320 --> 00:34:49,359 Speaker 1: my in laws. My my mother in law is an 608 00:34:49,360 --> 00:34:51,799 Speaker 1: amazing cook. And it's not just I have to watch 609 00:34:51,800 --> 00:34:54,120 Speaker 1: out for the meals. She just makes delicious things and 610 00:34:54,120 --> 00:34:56,359 Speaker 1: like leaves them in the kitchen. You don't like, yeah, 611 00:34:56,480 --> 00:34:57,960 Speaker 1: just you know, yeah, I just thought we'd have some 612 00:34:58,000 --> 00:35:00,640 Speaker 1: baked breed with some gluten free chrys DENI for you. 613 00:35:00,719 --> 00:35:04,319 Speaker 1: And I'm like, yes, this is amazing. But obviously I'm 614 00:35:04,320 --> 00:35:07,000 Speaker 1: going to eat four thousand calories of pre right now. 615 00:35:07,120 --> 00:35:09,799 Speaker 1: So that's what happens. How many calories do you think? 616 00:35:09,920 --> 00:35:11,680 Speaker 1: Let's get to these calls really quick. Le'll talk about 617 00:35:11,680 --> 00:35:15,080 Speaker 1: this tomorrow. Yeah, but I bet way more, way more 618 00:35:15,120 --> 00:35:17,160 Speaker 1: than we needed. Darcy and Houston, We're gonna try to 619 00:35:17,239 --> 00:35:19,680 Speaker 1: hit everybody. Thank you for calling. You got a daughter 620 00:35:19,719 --> 00:35:22,360 Speaker 1: at A and m Congrats to the Aggies on a 621 00:35:22,360 --> 00:35:25,360 Speaker 1: good season, although the Longhorns took them down on Friday. 622 00:35:26,040 --> 00:35:27,800 Speaker 1: But she's a Civil engineer student. 623 00:35:28,920 --> 00:35:34,240 Speaker 8: She's a senior Civil engineering sto. Okay, rats, yeah, super excited. 624 00:35:34,640 --> 00:35:38,320 Speaker 8: But we took her out of school her We withdrew 625 00:35:38,360 --> 00:35:41,680 Speaker 8: her from school. She graduated home school because the public 626 00:35:41,719 --> 00:35:45,720 Speaker 8: schools are failing kids in maths. The grades are inflated, 627 00:35:45,760 --> 00:35:50,640 Speaker 8: they're not really learning. And I was at the weekend 628 00:35:50,719 --> 00:35:52,400 Speaker 8: of the twenty second I was back at A and 629 00:35:52,560 --> 00:35:56,440 Speaker 8: M with our youngest at engineering orientation and she's a 630 00:35:56,560 --> 00:35:59,960 Speaker 8: junior and they have A and M School of Engineer 631 00:36:00,200 --> 00:36:03,800 Speaker 8: has one of the highest withdrawal rates to other majors 632 00:36:03,840 --> 00:36:07,920 Speaker 8: because the kids aren't being prepared, they're not learning the 633 00:36:07,920 --> 00:36:11,680 Speaker 8: basic skills that they need to know. You are absolutely right. 634 00:36:12,640 --> 00:36:15,400 Speaker 8: This partially falls to parents to do flash cards with 635 00:36:15,480 --> 00:36:16,000 Speaker 8: their kids. 636 00:36:16,040 --> 00:36:19,560 Speaker 2: Guys, thank you for the call. Look, this is the reality. 637 00:36:20,080 --> 00:36:23,000 Speaker 1: It's hard to become an engineer, thankfully, because we want 638 00:36:23,040 --> 00:36:25,200 Speaker 1: you to be really able to build buildings and things 639 00:36:25,239 --> 00:36:28,080 Speaker 1: like that, but you can't bs your way through it. 640 00:36:28,200 --> 00:36:30,920 Speaker 1: So you either have the foundational skills of math or 641 00:36:30,960 --> 00:36:33,160 Speaker 1: you don't. Congrats to her daughter, who's going to graduate 642 00:36:33,200 --> 00:36:36,960 Speaker 1: with that engineering degree. The number of people out there 643 00:36:37,239 --> 00:36:40,319 Speaker 1: that can make tremendous livings in jobs that can't be 644 00:36:40,400 --> 00:36:42,880 Speaker 1: replaced by AI. I think people are going to have 645 00:36:42,920 --> 00:36:46,560 Speaker 1: to start making more strategic decisions about what skills they're 646 00:36:46,600 --> 00:36:49,560 Speaker 1: gaining buck because a lot of these soft science jobs 647 00:36:49,640 --> 00:36:51,080 Speaker 1: you can get kicked to the curb in a hurry. 648 00:36:52,320 --> 00:36:54,359 Speaker 1: More on all of this tomorrow, My friends will talk 649 00:36:54,400 --> 00:36:54,799 Speaker 1: to you then