1 00:00:00,120 --> 00:00:02,600 Speaker 1: Welcome back in an hour number two Clay Travis, Buck 2 00:00:02,640 --> 00:00:04,920 Speaker 1: Sexton Show. Appreciate all of you hanging out with us 3 00:00:04,920 --> 00:00:06,760 Speaker 1: on a Friday. We got a couple of guests coming 4 00:00:06,800 --> 00:00:10,960 Speaker 1: your way. Heather McDonald at one thirty in about what 5 00:00:11,080 --> 00:00:13,800 Speaker 1: twenty five minutes or so from now, and then Julie Kelly, 6 00:00:13,840 --> 00:00:17,520 Speaker 1: who has been great on January sixth and more in 7 00:00:17,560 --> 00:00:21,400 Speaker 1: the third hour of this program. I'm going to duck 8 00:00:21,440 --> 00:00:23,880 Speaker 1: out in the third hour, about thirty minutes early, Buck, 9 00:00:23,920 --> 00:00:25,200 Speaker 1: because I'm going to go to Chicago. 10 00:00:25,840 --> 00:00:26,840 Speaker 2: I know, I know. 11 00:00:28,120 --> 00:00:30,240 Speaker 1: Last time you went to Chicago, Buck, you had never been, 12 00:00:30,240 --> 00:00:32,879 Speaker 1: if I remember correctly, there was a shooting at at 13 00:00:32,920 --> 00:00:35,199 Speaker 1: the park right just a few hours after you were 14 00:00:35,240 --> 00:00:35,879 Speaker 1: there in. 15 00:00:35,880 --> 00:00:38,800 Speaker 3: Millennium Park, two hours after we were there. Yes, the 16 00:00:38,840 --> 00:00:41,480 Speaker 3: food was amazing. It's a beautiful city. I love it. 17 00:00:41,479 --> 00:00:43,519 Speaker 3: It just has a crime problem. 18 00:00:43,960 --> 00:00:46,919 Speaker 1: I'm going to a family wedding there on Saturday, so 19 00:00:47,400 --> 00:00:49,400 Speaker 1: I'll be up there for a couple of nights, so 20 00:00:50,040 --> 00:00:53,000 Speaker 1: that should be entertaining. Okay, Buck, I want to circle 21 00:00:53,040 --> 00:00:55,320 Speaker 1: back around on the way we finished the first hour, 22 00:00:55,840 --> 00:00:59,360 Speaker 1: because several of you reached out and pointed out what 23 00:00:59,440 --> 00:01:02,160 Speaker 1: I think is actually really important here, and I haven't 24 00:01:02,240 --> 00:01:06,560 Speaker 1: seen anybody make this argument, and I credit as I 25 00:01:06,600 --> 00:01:10,120 Speaker 1: always do this audience again eight hundred and two two 26 00:01:10,200 --> 00:01:12,280 Speaker 1: two eight a two will also take some of your calls. 27 00:01:12,840 --> 00:01:15,160 Speaker 1: A lot of intelligent people out there. It's a big audience, 28 00:01:15,200 --> 00:01:19,080 Speaker 1: a lot of intelligent, creative thinkers out there. Buck, Let's 29 00:01:19,160 --> 00:01:21,360 Speaker 1: kind of go down the path here of the cocaine 30 00:01:21,600 --> 00:01:25,919 Speaker 1: and why it matters. They shut down the White House 31 00:01:26,240 --> 00:01:29,160 Speaker 1: because they were concerned this was anthrax, which is how 32 00:01:29,200 --> 00:01:32,279 Speaker 1: we became aware that this story existed in the first place. 33 00:01:32,560 --> 00:01:34,960 Speaker 1: They knew they had found a white powder, they were 34 00:01:34,959 --> 00:01:36,520 Speaker 1: concerned that it might be anthrax. 35 00:01:36,600 --> 00:01:37,360 Speaker 2: They shut it down. 36 00:01:38,080 --> 00:01:40,800 Speaker 1: If the White House, which is using its media allies 37 00:01:40,840 --> 00:01:43,960 Speaker 1: to say we may never know who brought this cocaine 38 00:01:44,000 --> 00:01:46,360 Speaker 1: into the White House, if they are going to make 39 00:01:46,360 --> 00:01:51,800 Speaker 1: that argument, then Buck, it raises this question. That would 40 00:01:51,840 --> 00:01:55,320 Speaker 1: then mean that if someone had brought anthrax into the 41 00:01:55,320 --> 00:01:57,680 Speaker 1: White House, if this had been determined to be a 42 00:01:57,800 --> 00:02:01,320 Speaker 1: legitimate terror attack, that the White House wouldn't be able 43 00:02:01,400 --> 00:02:05,440 Speaker 1: to uncover who brought anthrax into the White House. I 44 00:02:05,480 --> 00:02:09,360 Speaker 1: don't believe that's true, but if it is true, it 45 00:02:09,360 --> 00:02:13,320 Speaker 1: would mean that the most secure building that a residence 46 00:02:13,400 --> 00:02:18,080 Speaker 1: in the United States is actually so insecure that someone 47 00:02:18,120 --> 00:02:22,760 Speaker 1: could bring in anthrax, undertake a legitimate terror attack inside 48 00:02:22,760 --> 00:02:24,880 Speaker 1: of the White House and we would be unable to 49 00:02:24,880 --> 00:02:27,400 Speaker 1: know who did it. So this to me, we got 50 00:02:27,440 --> 00:02:29,480 Speaker 1: a lot of people who work in the White House Press. 51 00:02:29,280 --> 00:02:31,680 Speaker 2: Corps who listen to this show. 52 00:02:32,240 --> 00:02:35,280 Speaker 1: I would love to hear Karine Jean Pierre pressed, wait 53 00:02:35,320 --> 00:02:38,359 Speaker 1: a minute, you thought this might be anthrax? Does that 54 00:02:38,400 --> 00:02:41,400 Speaker 1: mean that someone could bring anthrax into the White House 55 00:02:41,600 --> 00:02:45,400 Speaker 1: institute a legit terror attack, and the Biden administration is 56 00:02:45,400 --> 00:02:47,520 Speaker 1: telling us it would be impossible to figure out who 57 00:02:47,520 --> 00:02:51,639 Speaker 1: that person was. That's a really good angle that deserves 58 00:02:51,639 --> 00:02:54,000 Speaker 1: to be explored because I think not only one would 59 00:02:54,000 --> 00:02:56,480 Speaker 1: it be awful if it were true, but it also 60 00:02:56,639 --> 00:03:01,480 Speaker 1: exposes the illegitimacy of the argument and the deceitfulness of 61 00:03:01,520 --> 00:03:04,320 Speaker 1: it to argue to the American public, Oh, we may 62 00:03:04,360 --> 00:03:05,800 Speaker 1: never know who brought this cocaine in. 63 00:03:06,639 --> 00:03:08,480 Speaker 2: Do you think they will ever tell us who did it? 64 00:03:09,120 --> 00:03:09,520 Speaker 2: I do not. 65 00:03:10,880 --> 00:03:14,240 Speaker 1: I think the pressure should be ratcheted up to the 66 00:03:14,280 --> 00:03:16,440 Speaker 1: extent that this should be significant. 67 00:03:16,480 --> 00:03:20,240 Speaker 2: And let me say this, I'm not do you think 68 00:03:20,320 --> 00:03:23,120 Speaker 2: they're actually gonna tell us? Though? You think we're gonna 69 00:03:23,120 --> 00:03:24,240 Speaker 2: find out. 70 00:03:24,560 --> 00:03:28,840 Speaker 1: I think that it is if it's Hunter, Buck, I 71 00:03:28,880 --> 00:03:31,480 Speaker 1: think they could spin it if it's Hunter, And I 72 00:03:31,520 --> 00:03:33,760 Speaker 1: said as I finished off the first hour, the evidence 73 00:03:33,800 --> 00:03:36,440 Speaker 1: to me actually starts to make it given it's a 74 00:03:36,520 --> 00:03:41,760 Speaker 1: vip entrance, given that we know. I saw someone say 75 00:03:41,760 --> 00:03:44,080 Speaker 1: on on social media funny analogy. They were like, this 76 00:03:44,120 --> 00:03:47,360 Speaker 1: is like McDonald's saying when they had Hamburgers stolen, we 77 00:03:47,440 --> 00:03:49,960 Speaker 1: have no idea who might have stolen the hamburgers, And 78 00:03:50,040 --> 00:03:53,080 Speaker 1: like the hamburglar, you know, like sitting right out there 79 00:03:53,120 --> 00:03:55,480 Speaker 1: on the on the side of the building, you know, like, oh, 80 00:03:55,560 --> 00:03:55,960 Speaker 1: I don't know. 81 00:03:55,880 --> 00:03:57,200 Speaker 2: Who took the hamburgers either. 82 00:03:58,120 --> 00:03:59,840 Speaker 1: If you have a drug addict in the White House 83 00:04:00,080 --> 00:04:03,840 Speaker 1: who has consistently been using drug addicts documenting it recklessly, 84 00:04:04,560 --> 00:04:08,000 Speaker 1: I think the number one suspective who might bring cocaine 85 00:04:08,040 --> 00:04:11,200 Speaker 1: into the White House is clearly Hunter Biden. If it's Hunter, 86 00:04:12,800 --> 00:04:15,760 Speaker 1: I think they might come out Buck and say, this 87 00:04:15,840 --> 00:04:20,200 Speaker 1: is this is what addiction does. The President lovesbook, the 88 00:04:20,240 --> 00:04:22,400 Speaker 1: President loves the sun, the whole. That's what they always 89 00:04:22,720 --> 00:04:25,400 Speaker 1: they always say something along those lines. Whenever we find 90 00:04:25,400 --> 00:04:29,240 Speaker 1: out more about the extent of Biden family corruption, which 91 00:04:29,279 --> 00:04:31,440 Speaker 1: is what is so important here. They always pretend that 92 00:04:31,480 --> 00:04:34,360 Speaker 1: this is about some personal animis toward a hundred. I 93 00:04:34,360 --> 00:04:36,760 Speaker 1: don't really care how many strippers Hunter by and hangs 94 00:04:36,760 --> 00:04:39,239 Speaker 1: out with. I don't care how much drugs he does. 95 00:04:39,600 --> 00:04:42,520 Speaker 1: The fact that he has a security clearance should trouble 96 00:04:42,640 --> 00:04:45,040 Speaker 1: every American you know. Think about this buck. They are 97 00:04:45,160 --> 00:04:49,960 Speaker 1: arguing right now to the American public, Donald Trump having documents, 98 00:04:50,600 --> 00:04:56,120 Speaker 1: years old documents in his private residence under Secret Service 99 00:04:56,200 --> 00:05:01,360 Speaker 1: protection in locked private areas of his clobe is such 100 00:05:01,480 --> 00:05:04,760 Speaker 1: an American security threat that he should go to prison 101 00:05:04,839 --> 00:05:08,200 Speaker 1: for the rest of his life. While they are simultaneously 102 00:05:08,240 --> 00:05:12,560 Speaker 1: allowing Hunter Biden, whom we know has deep and extensive 103 00:05:12,720 --> 00:05:15,920 Speaker 1: ties to the Chinese Communist Party that he has sold 104 00:05:16,000 --> 00:05:19,440 Speaker 1: for millions of dollars in ill begotten gains, who is 105 00:05:19,560 --> 00:05:23,000 Speaker 1: also a drug addict, who is engaged in reckless behavior 106 00:05:23,760 --> 00:05:26,880 Speaker 1: both in his personal and private lives. He should be 107 00:05:26,960 --> 00:05:28,680 Speaker 1: able to get on Air Force one and go to 108 00:05:28,720 --> 00:05:31,520 Speaker 1: Camp David and hang out with his dad and hear 109 00:05:31,680 --> 00:05:38,080 Speaker 1: every single significant American security issue going on, and he 110 00:05:38,120 --> 00:05:40,279 Speaker 1: should be able to just come in and out gallivant 111 00:05:40,360 --> 00:05:43,680 Speaker 1: through the White House whenever he wants, and that's. 112 00:05:43,160 --> 00:05:45,520 Speaker 3: Why the Chinese give him millions of dollars to play 113 00:05:45,600 --> 00:05:49,560 Speaker 3: right right, This is why because he's he's like the 114 00:05:49,640 --> 00:05:56,080 Speaker 3: perfect vessel for influence peddling and perhaps even information trans practice, 115 00:05:56,200 --> 00:05:57,880 Speaker 3: not something else that you. 116 00:05:57,800 --> 00:05:58,680 Speaker 2: Were in the CIA. 117 00:05:59,440 --> 00:06:02,599 Speaker 1: Can you think of a better potential asset if you 118 00:06:02,680 --> 00:06:08,280 Speaker 1: were China? Then the drug addled, reckless son of the 119 00:06:08,320 --> 00:06:11,159 Speaker 1: President of the United States who is so dementia riddled 120 00:06:11,200 --> 00:06:13,799 Speaker 1: that he has no idea what's going on. I can't 121 00:06:13,880 --> 00:06:17,119 Speaker 1: think of any more of a security threat than Hunter 122 00:06:17,160 --> 00:06:19,640 Speaker 1: Biden being allowed to hang out for all of these 123 00:06:19,680 --> 00:06:22,560 Speaker 1: top secret things that are going on on a regular 124 00:06:22,600 --> 00:06:25,240 Speaker 1: basis with his dad, who has no idea what he's. 125 00:06:25,160 --> 00:06:26,440 Speaker 2: Saying from one moment to the next. 126 00:06:26,520 --> 00:06:30,560 Speaker 1: I mean, if you were in charge of recruiting assets, Buck, 127 00:06:31,320 --> 00:06:33,560 Speaker 1: can you think of a better asset like if China 128 00:06:33,600 --> 00:06:36,320 Speaker 1: had the Hunter Biden equivalent, would we not want to 129 00:06:36,360 --> 00:06:39,640 Speaker 1: do everything we could to get our fingers into Hunter 130 00:06:39,680 --> 00:06:41,200 Speaker 1: Biden's world if it was China. 131 00:06:41,920 --> 00:06:45,640 Speaker 2: This is why no one is No one looks at China. 132 00:06:46,400 --> 00:06:50,240 Speaker 3: You know, the Chinese Communist Party carve out who was 133 00:06:50,279 --> 00:06:50,920 Speaker 3: sending him money. 134 00:06:50,960 --> 00:06:54,360 Speaker 2: I'm like, what are they doing they're so silly. Why 135 00:06:54,400 --> 00:06:55,360 Speaker 2: would Reggie Hunter? 136 00:06:55,640 --> 00:06:58,400 Speaker 3: No, the problem is Hunter Biden taking the money, because 137 00:06:58,440 --> 00:07:00,839 Speaker 3: we all know what he's offering in respect, It's not 138 00:07:01,200 --> 00:07:04,120 Speaker 3: what with barisma. This is the crazy part that ever 139 00:07:04,160 --> 00:07:08,880 Speaker 3: needs to remember. That was money well spent. The Chinese 140 00:07:08,920 --> 00:07:15,160 Speaker 3: Communist Party bribes to Hunter, money well spent. From their perspective, 141 00:07:15,280 --> 00:07:19,680 Speaker 3: Oh yes, it's a perfect a perfect person to be 142 00:07:20,400 --> 00:07:21,920 Speaker 3: compromising in that way. 143 00:07:22,440 --> 00:07:26,160 Speaker 1: I would love if I were trying to corrupt the 144 00:07:26,280 --> 00:07:29,880 Speaker 1: Chinese government to have the equivalent of Hunter Biden. 145 00:07:30,280 --> 00:07:31,840 Speaker 2: That we could be corrupting. 146 00:07:32,320 --> 00:07:35,840 Speaker 1: If Kim Jong un had a son in North Korea 147 00:07:36,440 --> 00:07:39,880 Speaker 1: who was as incompetent as Hunter Biden, and we could 148 00:07:39,920 --> 00:07:42,640 Speaker 1: give him a few million dollars and know everything that 149 00:07:42,720 --> 00:07:45,560 Speaker 1: was going on in the inner reaches of the North 150 00:07:45,640 --> 00:07:49,400 Speaker 1: Korean government. That would be money well spent by our Chinese, 151 00:07:49,760 --> 00:07:52,920 Speaker 1: by our security apparatus. The Chinese know what they're doing. 152 00:07:53,320 --> 00:07:56,000 Speaker 1: Ukraine knew what they were doing. The fact that we're 153 00:07:56,040 --> 00:08:00,400 Speaker 1: still allowing this guy to have unfettered access to top 154 00:08:00,480 --> 00:08:06,240 Speaker 1: American secrets through his dementia adult dad while trying to 155 00:08:06,280 --> 00:08:08,560 Speaker 1: put Donald Trump in prison for the rest of his 156 00:08:08,720 --> 00:08:13,120 Speaker 1: life because of paper storage disputes is maybe the most 157 00:08:13,680 --> 00:08:17,320 Speaker 1: compelling sign of a two tier justice system that has 158 00:08:17,360 --> 00:08:19,520 Speaker 1: ever existed in the history of American justice. 159 00:08:20,920 --> 00:08:25,480 Speaker 3: Yes, and yet I have been perhaps a little salty 160 00:08:25,520 --> 00:08:28,360 Speaker 3: and a little cynical all along, but I've said they're 161 00:08:28,400 --> 00:08:30,680 Speaker 3: not gonna Hunter's not going to I mean, and I 162 00:08:30,760 --> 00:08:33,520 Speaker 3: think it was surprising for people because it was so blatant, 163 00:08:34,160 --> 00:08:37,560 Speaker 3: the cover up sweetheart deal thing that Hunter got. But 164 00:08:37,640 --> 00:08:41,480 Speaker 3: that's why when I look at this, at this cocaine situation, 165 00:08:42,880 --> 00:08:45,320 Speaker 3: this is too much of a liability for the powers 166 00:08:45,320 --> 00:08:49,400 Speaker 3: that be to let this get taken to its fruition, 167 00:08:49,520 --> 00:08:52,240 Speaker 3: taken to the endpoint here of who is responsible for this, 168 00:08:52,480 --> 00:08:56,000 Speaker 3: So they will the system will cover it up. And 169 00:08:56,120 --> 00:08:58,040 Speaker 3: this is the same reason, like people that want to 170 00:08:58,120 --> 00:09:00,920 Speaker 3: understand what's really what was really going on with the 171 00:09:00,920 --> 00:09:02,760 Speaker 3: Epstein thing, like how is it that that guy was 172 00:09:02,800 --> 00:09:05,800 Speaker 3: able to get at well, once you see that his 173 00:09:05,880 --> 00:09:10,240 Speaker 3: whole game was compromising in the most you know, dead 174 00:09:10,240 --> 00:09:12,439 Speaker 3: to rights, it's all over for you kind of weigh 175 00:09:13,040 --> 00:09:17,199 Speaker 3: incredibly powerful wealthy people, then he was able to manipulate 176 00:09:17,240 --> 00:09:19,120 Speaker 3: aspects of And we still don't have the full answers 177 00:09:19,120 --> 00:09:21,400 Speaker 3: on that one, but once you see the weak points 178 00:09:21,400 --> 00:09:24,160 Speaker 3: in the system and the manipulation that is possible. None 179 00:09:24,200 --> 00:09:26,840 Speaker 3: of this stuff really becomes as surprising anymore. And I 180 00:09:26,880 --> 00:09:29,800 Speaker 3: just think that that's maybe the only way we find 181 00:09:29,800 --> 00:09:32,880 Speaker 3: out who the cocaine belongs to. Wasn't there a cocaine 182 00:09:32,920 --> 00:09:35,840 Speaker 3: bear movie? As an assign? Didn't make a cocaine bear 183 00:09:35,920 --> 00:09:39,480 Speaker 3: movie recently? I mean, obviously no Bears in the White House, 184 00:09:39,480 --> 00:09:42,280 Speaker 3: but I never saw that movie. I wonder if it 185 00:09:42,320 --> 00:09:44,560 Speaker 3: was worth watching. The only way we find out is 186 00:09:44,559 --> 00:09:46,160 Speaker 3: if it's someone who is so low level that they 187 00:09:46,200 --> 00:09:49,560 Speaker 3: will feed that person to the wolves publicly, and you 188 00:09:49,600 --> 00:09:52,920 Speaker 3: know that's the only way. But I even then I 189 00:09:53,360 --> 00:09:55,560 Speaker 3: don't see it happening. I think they're gonna say we 190 00:09:55,640 --> 00:09:59,280 Speaker 3: could never know. We'll never know who the real cocaine 191 00:09:59,679 --> 00:10:00,880 Speaker 3: that person was. 192 00:10:02,160 --> 00:10:04,840 Speaker 1: If that's true, and it could be, that's where the 193 00:10:04,880 --> 00:10:07,600 Speaker 1: media needs to grill Kareem John Pierre and just say, okay, 194 00:10:07,679 --> 00:10:10,480 Speaker 1: pretend this was anthrax instead we shut down the White House. 195 00:10:10,520 --> 00:10:12,480 Speaker 1: For people out there who say, oh, it's just cocaine, 196 00:10:12,520 --> 00:10:14,240 Speaker 1: why should we care about that much, Well, they shut 197 00:10:14,280 --> 00:10:15,840 Speaker 1: down the White House because they were concerned it was 198 00:10:15,880 --> 00:10:19,800 Speaker 1: anthrax and a terror attack. They're telling us that they 199 00:10:19,800 --> 00:10:22,360 Speaker 1: wouldn't be able to figure out who brought anthrax into 200 00:10:22,400 --> 00:10:24,760 Speaker 1: the White House if they're telling us they can't find cocaine. 201 00:10:25,120 --> 00:10:28,400 Speaker 1: Second part on this, Buck, you may be right about 202 00:10:28,440 --> 00:10:31,760 Speaker 1: low level staffer. And this is where the Democrats play 203 00:10:31,760 --> 00:10:34,960 Speaker 1: the game. Well, they'll have some low level staffer say, 204 00:10:35,040 --> 00:10:39,280 Speaker 1: oh my god, I brought cocaine. I've had addiction issue 205 00:10:39,280 --> 00:10:42,040 Speaker 1: with cocaine. I'm going to go to rehab, and then 206 00:10:42,080 --> 00:10:44,679 Speaker 1: you know what'll happen, Buck, That low level staffer will 207 00:10:44,679 --> 00:10:46,560 Speaker 1: come out and get a two hundred and fifty thousand 208 00:10:46,600 --> 00:10:50,520 Speaker 1: dollars a year job somewhere in the Democrat party sinecures 209 00:10:50,760 --> 00:10:54,520 Speaker 1: where they're taken care of going forward, right, That's what 210 00:10:54,559 --> 00:10:57,720 Speaker 1: would end up happening, because there won't be any prosecution, 211 00:10:57,800 --> 00:11:02,400 Speaker 1: there won't be any significant crime brought. Somebody will say hey, hey, 212 00:11:03,120 --> 00:11:04,760 Speaker 1: you know, for the good of the party, where you 213 00:11:04,840 --> 00:11:07,720 Speaker 1: fall on the sword twenty five year old, and the 214 00:11:07,720 --> 00:11:09,680 Speaker 1: twenty five year old will say yes, say that he 215 00:11:09,840 --> 00:11:13,160 Speaker 1: or she has an addiction issue. They will then get 216 00:11:13,320 --> 00:11:16,199 Speaker 1: go to you know, rehab whatever it is, and then 217 00:11:16,200 --> 00:11:18,160 Speaker 1: get a two hundred and fifty thousand dollars job and 218 00:11:18,200 --> 00:11:22,600 Speaker 1: be snorting coke off off strippers, Hunter Biden style. 219 00:11:23,080 --> 00:11:24,000 Speaker 2: Within a few months. 220 00:11:24,520 --> 00:11:27,600 Speaker 3: You remember this, You're gonna hold this in your back pocket. 221 00:11:27,720 --> 00:11:30,400 Speaker 3: Jack the old Potomac two step. 222 00:11:31,600 --> 00:11:32,680 Speaker 2: That's how they play the game. 223 00:11:32,760 --> 00:11:32,960 Speaker 1: Man. 224 00:11:33,080 --> 00:11:36,440 Speaker 3: You know, sometimes you gotta with the Democrat machine. Yeah, 225 00:11:36,480 --> 00:11:38,640 Speaker 3: maybe you fall on your sword, but they'll patch you 226 00:11:38,760 --> 00:11:41,559 Speaker 3: up and they'll give you some gig at MSNBC afterwards, 227 00:11:41,640 --> 00:11:45,959 Speaker 3: or you'll get some sinecure some posts somewhere where are overpaid. 228 00:11:46,360 --> 00:11:49,360 Speaker 3: You're doing a BS job and no one cares. That's 229 00:11:49,360 --> 00:11:51,760 Speaker 3: how That's how they do it. This is very effective. 230 00:11:51,880 --> 00:11:54,079 Speaker 3: I would know it's very powerful tool they have. 231 00:11:54,640 --> 00:11:59,000 Speaker 1: But I would bet it's Hunter because ultimately, Buck, I 232 00:11:59,040 --> 00:12:02,600 Speaker 1: think this was a I could see Hunter coming in 233 00:12:02,640 --> 00:12:05,040 Speaker 1: on his phone. This is my if I were constructing 234 00:12:05,080 --> 00:12:08,480 Speaker 1: how this happens. Hunter, who has no respect for White 235 00:12:08,520 --> 00:12:12,280 Speaker 1: House security because he believes he's above all law, is 236 00:12:12,400 --> 00:12:15,640 Speaker 1: on the phone with somebody on his cell phone as 237 00:12:15,679 --> 00:12:18,880 Speaker 1: he's coming in, and he recognizes that he's looking for 238 00:12:18,880 --> 00:12:23,440 Speaker 1: something in his pocket, and he's probably under the influence 239 00:12:23,440 --> 00:12:25,240 Speaker 1: of a substance. Because I don't buy the fact that 240 00:12:25,320 --> 00:12:27,800 Speaker 1: Hunter Biden is suddenly clean and doesn't use any drugs 241 00:12:27,800 --> 00:12:30,960 Speaker 1: at all anymore, and he reaches into his pocket to 242 00:12:31,040 --> 00:12:33,679 Speaker 1: look for something, pull stuff out, puts it on a shelf, 243 00:12:34,480 --> 00:12:36,560 Speaker 1: doesn't pay attention to what he's taken out of his 244 00:12:36,840 --> 00:12:39,280 Speaker 1: pocket because he's on a phone call, not paying attention, 245 00:12:39,360 --> 00:12:41,760 Speaker 1: no one speaking to him, just keeps walking right through. 246 00:12:42,240 --> 00:12:44,840 Speaker 1: And then you know, forty five minutes an hour later, 247 00:12:44,920 --> 00:12:47,240 Speaker 1: somebody suddenly says, oh my god, there's a baggy of 248 00:12:47,280 --> 00:12:48,080 Speaker 1: white powder here. 249 00:12:48,720 --> 00:12:52,760 Speaker 3: If it's Hunter, yeah, does that? Does he get does 250 00:12:52,760 --> 00:12:53,520 Speaker 3: he get bagged? 251 00:12:53,640 --> 00:12:54,400 Speaker 2: So to speak? 252 00:12:54,840 --> 00:12:57,280 Speaker 1: This is where Buck they are sitting around right now. 253 00:12:57,600 --> 00:13:01,040 Speaker 1: Ordinarily I think there it's Hunter, he has an addiction. 254 00:13:01,600 --> 00:13:04,640 Speaker 1: They would come out with that. I think it would 255 00:13:04,640 --> 00:13:07,880 Speaker 1: probably kill his plea agreement because technically, under his plea agreement, 256 00:13:07,960 --> 00:13:10,480 Speaker 1: he has to submit to two years of drug testing though, 257 00:13:10,679 --> 00:13:12,800 Speaker 1: and if he tests positive, he goes to jail. So 258 00:13:13,559 --> 00:13:15,719 Speaker 1: if they come out with someone else, I actually think 259 00:13:15,760 --> 00:13:17,839 Speaker 1: the most likely thing is it's a random twenty five 260 00:13:17,920 --> 00:13:20,440 Speaker 1: year old who is low level and says, oh, it 261 00:13:20,520 --> 00:13:22,520 Speaker 1: was me, I brought cocaine into the White House. 262 00:13:23,720 --> 00:13:24,600 Speaker 2: Ah man. 263 00:13:24,720 --> 00:13:27,720 Speaker 3: This is because if it were Hunter taking the fall 264 00:13:27,800 --> 00:13:30,880 Speaker 3: for it, and that deals that strike, that arrows the 265 00:13:30,880 --> 00:13:33,480 Speaker 3: plea agreement do you think, Buck, if that were to 266 00:13:33,520 --> 00:13:36,000 Speaker 3: happen with coke, then people would start to think that 267 00:13:36,040 --> 00:13:38,280 Speaker 3: this was actually want to get really crazy here, it's 268 00:13:38,320 --> 00:13:42,400 Speaker 3: a Friday everybody a Democrat deep state plot to finally 269 00:13:42,440 --> 00:13:46,880 Speaker 3: push Biden aside by having Hunter finally be Oh my gosh, 270 00:13:46,920 --> 00:13:49,040 Speaker 3: he's he's Clay's excited, He's sticking the line. 271 00:13:49,120 --> 00:13:51,960 Speaker 1: I love, I love this is this is CIA, Buck, 272 00:13:52,120 --> 00:13:56,079 Speaker 1: this is what if it wasn't Hunter and they actually 273 00:13:56,240 --> 00:14:00,680 Speaker 1: just planted cocaine in the White House because they knew 274 00:14:00,960 --> 00:14:03,840 Speaker 1: that everybody would just presume it's Hunter. Now that would 275 00:14:03,880 --> 00:14:06,960 Speaker 1: now who would be the that would be the DNC 276 00:14:08,160 --> 00:14:11,559 Speaker 1: going next level? I don't I think it's probably just 277 00:14:11,679 --> 00:14:13,920 Speaker 1: Hunter with the cocaine, because we know Hunter has cocaine 278 00:14:13,920 --> 00:14:16,280 Speaker 1: all the time. But that would be unbelievable because none 279 00:14:16,280 --> 00:14:19,480 Speaker 1: of us would believe that it was anybody other than Hunter. 280 00:14:21,600 --> 00:14:24,240 Speaker 2: I think you're a CIA director. That's a hell of 281 00:14:24,280 --> 00:14:24,920 Speaker 2: a plot. 282 00:14:25,160 --> 00:14:27,200 Speaker 3: I think you're never going to find out who it is, 283 00:14:27,320 --> 00:14:30,280 Speaker 3: but we'll see make it and make a great chapter 284 00:14:30,400 --> 00:14:32,240 Speaker 3: for the novel. We got to start writing some spy 285 00:14:32,280 --> 00:14:35,840 Speaker 3: thrillers that would that's an amazing I love that. I 286 00:14:35,960 --> 00:14:42,200 Speaker 3: love that idea. I agree, it's quite and speaking eleven ideas. 287 00:14:42,240 --> 00:14:43,760 Speaker 1: I also love the idea of saving you guys a 288 00:14:43,800 --> 00:14:45,800 Speaker 1: lot of money, and you can save up to nine 289 00:14:45,840 --> 00:14:47,520 Speaker 1: hundred dollars a year right now if you get hooked 290 00:14:47,600 --> 00:14:50,440 Speaker 1: up with pure Talk. You know my own fifteen year old, 291 00:14:50,440 --> 00:14:52,440 Speaker 1: it's about to be sixteen. My own fifteen year old's 292 00:14:52,440 --> 00:14:54,320 Speaker 1: away at camp right now. He has a pure Talk phone. 293 00:14:54,400 --> 00:14:57,320 Speaker 1: We stay in touch with him Grandma and grandpa, mom, dad, 294 00:14:57,360 --> 00:15:00,320 Speaker 1: brothers with his pure Talk phone. We rely on it 295 00:15:00,640 --> 00:15:03,400 Speaker 1: for him to be able to let us know how 296 00:15:03,440 --> 00:15:06,040 Speaker 1: his camp is going during the course of this summer. 297 00:15:06,360 --> 00:15:08,880 Speaker 1: It's an incredible offer right now twenty bucks a month 298 00:15:08,960 --> 00:15:12,680 Speaker 1: unlimited talk text now fifty percent more five G data 299 00:15:12,720 --> 00:15:15,960 Speaker 1: plus a mobile hotspot. Great value twenty bucks a month. 300 00:15:16,000 --> 00:15:19,120 Speaker 1: It's why we love the company Puretalk. They also happen 301 00:15:19,160 --> 00:15:21,600 Speaker 1: to be veteran owned only hire the best customer service 302 00:15:21,600 --> 00:15:24,280 Speaker 1: team based right here in the good old USA. Most 303 00:15:24,320 --> 00:15:27,360 Speaker 1: families saving one thousand dollars a year while enjoying the 304 00:15:27,400 --> 00:15:31,160 Speaker 1: most dependable five G network in America. Dial pound two fifty, 305 00:15:31,240 --> 00:15:33,480 Speaker 1: say Clay and Buck to make the switch to pure Talk. 306 00:15:33,560 --> 00:15:36,720 Speaker 1: You'll save an additional fifty percent off your first month 307 00:15:36,880 --> 00:15:40,480 Speaker 1: again dial pound two five zero, say Clay and Buck 308 00:15:40,520 --> 00:15:42,360 Speaker 1: make the switch to pure talk today. 309 00:15:43,200 --> 00:15:45,600 Speaker 2: How thing you separate truth from fiction? 310 00:15:46,560 --> 00:15:50,680 Speaker 1: Every single weekday the Clay Travis and Buck Sexton Show. 311 00:15:58,720 --> 00:16:00,640 Speaker 3: Give us call eight hundred and two A two two 312 00:16:00,640 --> 00:16:03,800 Speaker 3: eighty two here on Clay and Buck, and we have 313 00:16:03,840 --> 00:16:08,320 Speaker 3: people weighing in from all over the country, including Shot 314 00:16:08,760 --> 00:16:12,520 Speaker 3: out of the Dark here from within the Travis family. 315 00:16:12,640 --> 00:16:16,720 Speaker 1: Clay, do you want to share my mom? This is legit, 316 00:16:16,920 --> 00:16:20,520 Speaker 1: my actual mom. Appreciate her listening. She just texted me 317 00:16:20,760 --> 00:16:24,840 Speaker 1: it's Kamala's cocaine. How else can you explain her behavior? 318 00:16:27,040 --> 00:16:29,320 Speaker 1: Like that would be next to the level of CIA. 319 00:16:29,760 --> 00:16:33,960 Speaker 1: If the Democrats were so terrified of Kamala that they 320 00:16:34,040 --> 00:16:37,800 Speaker 1: were trying to get Kamala knocked out by blaming these 321 00:16:37,800 --> 00:16:38,640 Speaker 1: I say it her. 322 00:16:38,920 --> 00:16:41,480 Speaker 3: Here's how you would know that that through the fixes 323 00:16:41,480 --> 00:16:42,960 Speaker 3: in If all of a sudden, the next day, Gavin 324 00:16:43,040 --> 00:16:45,640 Speaker 3: Newsom appears does a press commerce, He's like, we all 325 00:16:45,680 --> 00:16:46,000 Speaker 3: know the. 326 00:16:46,000 --> 00:16:50,720 Speaker 4: Ravages of addiction, so I wish Kamala the best, while 327 00:16:50,760 --> 00:16:55,080 Speaker 4: perhaps we look to other possibilities here to be leading 328 00:16:55,120 --> 00:16:56,080 Speaker 4: the Democrat party. 329 00:16:56,120 --> 00:16:57,880 Speaker 2: You know, you could just see it right, you could 330 00:16:57,920 --> 00:16:59,680 Speaker 2: see it, and Kamla's like it wasn't me. 331 00:16:59,760 --> 00:17:02,600 Speaker 3: I had nothing, and it's true, but the Democrat deep 332 00:17:02,600 --> 00:17:04,960 Speaker 3: state has decided to try to push her aside. 333 00:17:04,960 --> 00:17:06,360 Speaker 2: But I don't think she was at the White House 334 00:17:06,400 --> 00:17:06,720 Speaker 2: that day. 335 00:17:07,280 --> 00:17:09,600 Speaker 1: I just every time you mentioned Gavin Newsom, I can't 336 00:17:09,600 --> 00:17:14,280 Speaker 1: help but laugh, like I I despise almost everything Gavin 337 00:17:14,320 --> 00:17:16,679 Speaker 1: Newsom stands for. Did find him to be quite likable 338 00:17:16,680 --> 00:17:19,239 Speaker 1: in the Sean Hannity interview. I feel like he and 339 00:17:19,240 --> 00:17:21,040 Speaker 1: I are going to get a picture drinking a glass 340 00:17:21,080 --> 00:17:23,639 Speaker 1: of wine at some point together, and I'm just gonna 341 00:17:23,640 --> 00:17:24,520 Speaker 1: text you out of here. 342 00:17:24,760 --> 00:17:27,560 Speaker 3: You're gonna melt the internet, and Mark Cuban is gonna 343 00:17:27,600 --> 00:17:32,000 Speaker 3: be you were you know, I gotta make fun of 344 00:17:32,040 --> 00:17:33,919 Speaker 3: Cuban here before the show's over today. 345 00:17:34,160 --> 00:17:37,040 Speaker 1: Uh and uh And trust me on this. What guys 346 00:17:37,080 --> 00:17:38,960 Speaker 1: have got to have a beer summit or something. You 347 00:17:39,040 --> 00:17:42,320 Speaker 1: and Cuban, He's he's you could. 348 00:17:42,080 --> 00:17:42,919 Speaker 2: Settle this one. 349 00:17:43,520 --> 00:17:48,000 Speaker 1: I just I don't understand the point of being a 350 00:17:48,040 --> 00:17:52,160 Speaker 1: billionaire and being afraid of what people think of your opinions. 351 00:17:52,520 --> 00:17:56,280 Speaker 1: I am nowhere near a billionaire. I have zero compunction 352 00:17:56,520 --> 00:17:59,160 Speaker 1: or fear of saying exactly what I think every day. 353 00:17:59,520 --> 00:18:02,480 Speaker 1: I can't I being so rich that you're worried about 354 00:18:02,480 --> 00:18:04,680 Speaker 1: what people think about what you say. What's the point 355 00:18:04,680 --> 00:18:06,879 Speaker 1: of being rich, as they said on Billions, if you 356 00:18:06,920 --> 00:18:09,439 Speaker 1: have FU money and you don't occasionally say FU, what 357 00:18:09,480 --> 00:18:12,119 Speaker 1: are you doing with your life? Small businesses have been 358 00:18:12,160 --> 00:18:14,280 Speaker 1: benefiting from the results of a big team working in 359 00:18:14,280 --> 00:18:17,840 Speaker 1: innovation refunds. They've helped thousands of small businesses with their 360 00:18:18,200 --> 00:18:21,920 Speaker 1: ERC tax refunds. ERC is the Employee Retention Credit. If 361 00:18:21,920 --> 00:18:24,679 Speaker 1: you own a business with five or more employees, you 362 00:18:24,680 --> 00:18:27,680 Speaker 1: could have money waiting to be claimed innovation refunds. They 363 00:18:27,680 --> 00:18:30,760 Speaker 1: will get you hooked up. IRS is looking at this 364 00:18:31,160 --> 00:18:34,320 Speaker 1: ERC program. You know they paid out over ninety billion 365 00:18:34,400 --> 00:18:38,879 Speaker 1: in ERC tax credits. One point three million US jobs 366 00:18:38,880 --> 00:18:42,080 Speaker 1: were sustained. You can find out if your business qualifies 367 00:18:42,119 --> 00:18:45,199 Speaker 1: by going to Innovation Refunds. You can also call this 368 00:18:45,320 --> 00:18:49,000 Speaker 1: number one eight four three refunds. That's one eight four 369 00:18:49,160 --> 00:18:53,719 Speaker 1: three refunds, no cost upfront. Go to Innovation refunds dot com. 370 00:18:53,760 --> 00:18:56,119 Speaker 1: That's innovation refunds dot com. 371 00:18:56,320 --> 00:18:59,800 Speaker 2: Buck sexy on the front lines of truth. 372 00:19:07,960 --> 00:19:11,440 Speaker 1: We are joined now by Heather MacDonald. She is fabulous 373 00:19:11,520 --> 00:19:14,600 Speaker 1: when it comes to sharing data that make other people uncomfortable, 374 00:19:14,680 --> 00:19:16,800 Speaker 1: and I think it's important because facts matter and you 375 00:19:16,800 --> 00:19:19,719 Speaker 1: can't solve problems without being willing to acknowledge what the 376 00:19:19,720 --> 00:19:22,439 Speaker 1: facts show. And Heather, we appreciate you been on the 377 00:19:22,440 --> 00:19:26,280 Speaker 1: program before to discuss all of this, and you have 378 00:19:26,359 --> 00:19:28,520 Speaker 1: looked at the facts once more. And Buck and I 379 00:19:28,560 --> 00:19:31,400 Speaker 1: have discussed this in some degree, but we haven't gone 380 00:19:31,400 --> 00:19:35,000 Speaker 1: into the detail, but a lot of discussion about the 381 00:19:35,000 --> 00:19:37,960 Speaker 1: affirmative Action case from the Supreme Court which ended the 382 00:19:38,080 --> 00:19:40,880 Speaker 1: use of race in college and university admissions at least 383 00:19:40,920 --> 00:19:44,400 Speaker 1: in theory because of discrimination against Asian people. And they're 384 00:19:44,440 --> 00:19:47,600 Speaker 1: actually really interesting and fascinating studies that have been done 385 00:19:47,680 --> 00:19:50,160 Speaker 1: into affirmative action. Heather, and you can lay out these 386 00:19:50,200 --> 00:19:53,639 Speaker 1: studies and what the data actually reflects that show that 387 00:19:53,960 --> 00:19:58,080 Speaker 1: when you are admitted to a school that academically you 388 00:19:58,160 --> 00:20:01,879 Speaker 1: would not be admitted to but for your race, the 389 00:20:02,000 --> 00:20:05,119 Speaker 1: results are actually worse than if you went to a 390 00:20:05,240 --> 00:20:10,359 Speaker 1: school where your academic profile more accurately matched the school 391 00:20:10,400 --> 00:20:11,760 Speaker 1: to which you were admitted. 392 00:20:12,280 --> 00:20:18,240 Speaker 5: Explain, that's absolutely right. We would have more black students 393 00:20:18,280 --> 00:20:22,440 Speaker 5: graduating in stem fields without racial preferences because they would 394 00:20:22,520 --> 00:20:26,040 Speaker 5: go to schools where they go on the same conditions 395 00:20:26,080 --> 00:20:28,400 Speaker 5: as every other student. They're admitted to schools for which 396 00:20:28,400 --> 00:20:32,920 Speaker 5: they are academically qualified, rather than being catapulted into schools 397 00:20:32,920 --> 00:20:36,200 Speaker 5: for which they are not academically qualified. So there was 398 00:20:36,240 --> 00:20:39,879 Speaker 5: a very good study done at Duke University that found that, 399 00:20:40,359 --> 00:20:44,760 Speaker 5: contrary to what one might expect, more black male freshmen 400 00:20:44,960 --> 00:20:49,520 Speaker 5: enrolled at Duke intending to major in STEM, but by 401 00:20:49,560 --> 00:20:52,440 Speaker 5: the end of the senior year there were very few 402 00:20:52,520 --> 00:20:56,920 Speaker 5: black male STEM majors. Why because the black students have 403 00:20:57,040 --> 00:21:01,480 Speaker 5: been admitted with over a standard deviation low those of 404 00:21:01,520 --> 00:21:06,200 Speaker 5: their what in SAT scores compared to wide and Asians, 405 00:21:06,280 --> 00:21:09,000 Speaker 5: and they struggled in their STEM classes. It was pitched 406 00:21:09,320 --> 00:21:12,400 Speaker 5: at a level for which they were not prepared and 407 00:21:12,440 --> 00:21:14,720 Speaker 5: so they all ended up switching out of those STEM 408 00:21:14,760 --> 00:21:18,960 Speaker 5: majors and going into Black studies and whatnot. And we 409 00:21:19,119 --> 00:21:22,800 Speaker 5: know that in law schools, which is the best set 410 00:21:22,840 --> 00:21:27,920 Speaker 5: of data we have on objective test score measures, at 411 00:21:27,920 --> 00:21:31,120 Speaker 5: the end of the first year of law school black students, 412 00:21:31,119 --> 00:21:35,400 Speaker 5: who are almost universally admitted to law schools with racial preferences, 413 00:21:36,200 --> 00:21:41,400 Speaker 5: fifty two percent of all black law students nationwide end 414 00:21:41,480 --> 00:21:44,800 Speaker 5: up in the bottom tenth of their law school class 415 00:21:44,840 --> 00:21:49,560 Speaker 5: after their first year, and about two thirds end up 416 00:21:49,560 --> 00:21:53,320 Speaker 5: at the bottom twenty five percent of their schools. Had 417 00:21:53,359 --> 00:21:56,200 Speaker 5: they been admitted to schools for which they were qualified, 418 00:21:56,880 --> 00:21:59,000 Speaker 5: they would have succeeded. And let's take this out of 419 00:21:59,040 --> 00:22:03,240 Speaker 5: the difficult issue of race, and let's look at sex. 420 00:22:03,359 --> 00:22:07,800 Speaker 5: And let's imagine that MIT admitted me because it needed 421 00:22:07,840 --> 00:22:11,560 Speaker 5: more sex parody or gender parity, which of course they do, 422 00:22:11,640 --> 00:22:15,280 Speaker 5: and which is a complete irrelevancy. Sex is not relevant 423 00:22:15,280 --> 00:22:17,760 Speaker 5: to whether you are turning out good engineers or not. 424 00:22:17,880 --> 00:22:20,320 Speaker 5: But let's say they admitted me with six hundred and 425 00:22:20,320 --> 00:22:23,960 Speaker 5: fifty on my math SAT on an eight hundred point scale, 426 00:22:24,280 --> 00:22:26,800 Speaker 5: and all of my colleagues who'd been admitted because they 427 00:22:26,800 --> 00:22:31,160 Speaker 5: were actually qualified for MIT, unlike me, who was not qualified, 428 00:22:32,200 --> 00:22:34,840 Speaker 5: I would be among students with eight hundreds on their 429 00:22:34,880 --> 00:22:39,280 Speaker 5: math SATs. What would happen in my freshman calculus class. 430 00:22:39,800 --> 00:22:43,640 Speaker 5: I would struggle, I would not be able to keep up. 431 00:22:44,240 --> 00:22:46,959 Speaker 5: I may decide that MIT was not for me. And 432 00:22:47,000 --> 00:22:49,119 Speaker 5: what would happen is I would be surrounded by this 433 00:22:49,320 --> 00:22:53,440 Speaker 5: hornet swarm of diversity consultants that would come and say 434 00:22:53,480 --> 00:22:56,640 Speaker 5: to me, well, you're the victim of rape culture. You're 435 00:22:56,680 --> 00:22:59,720 Speaker 5: in a misogynist culture. That's why you're not succeeding. That's 436 00:22:59,720 --> 00:23:03,920 Speaker 5: why you feel uncomfortable here. That's what happens to black students. 437 00:23:04,400 --> 00:23:07,840 Speaker 3: They yes, I mean the calculus is sexist. Obviously, that's 438 00:23:07,880 --> 00:23:09,879 Speaker 3: the real challenge that you're setting up there. 439 00:23:09,960 --> 00:23:12,000 Speaker 2: If we were to extrapolate this all the way. 440 00:23:12,040 --> 00:23:16,399 Speaker 3: We're speaking to Heather MacDonald, author of the War on Cops, 441 00:23:16,440 --> 00:23:18,879 Speaker 3: and she's got an article out Affirmative action was hurting 442 00:23:19,119 --> 00:23:19,960 Speaker 3: black students. 443 00:23:20,000 --> 00:23:21,040 Speaker 2: It's in the Spectator. 444 00:23:21,560 --> 00:23:25,000 Speaker 3: Heather, what do we know about the way this has 445 00:23:25,000 --> 00:23:27,560 Speaker 3: played out with something that you know, you want a 446 00:23:27,560 --> 00:23:30,199 Speaker 3: good lawyer, right, I mean, you know, just talk to 447 00:23:30,440 --> 00:23:32,320 Speaker 3: Hunter and Biden, like you want to have a good lawyer, 448 00:23:32,800 --> 00:23:35,120 Speaker 3: but you really want to have a good doctor. 449 00:23:37,160 --> 00:23:40,480 Speaker 2: You really want to have the best possible heart surgeon. 450 00:23:41,200 --> 00:23:44,240 Speaker 3: What do we know about the way the MCATs, which 451 00:23:44,280 --> 00:23:48,280 Speaker 3: is the standardized test for medical school have been changed 452 00:23:48,960 --> 00:23:50,600 Speaker 3: or not not change the test, but you know they 453 00:23:50,680 --> 00:23:53,960 Speaker 3: changed the standards based on affirmative action in the past. 454 00:23:55,440 --> 00:23:58,560 Speaker 5: Well, black students wouldn't be admitted to medical schools with 455 00:23:58,920 --> 00:24:03,440 Speaker 5: MCAT scores and from college that would be automatically disqualifying 456 00:24:04,000 --> 00:24:07,760 Speaker 5: if presented by whites or Asians, and as predicted by 457 00:24:07,800 --> 00:24:09,879 Speaker 5: this mismatch theory, they end up at the bottom of 458 00:24:09,920 --> 00:24:12,560 Speaker 5: their class. And so what we're now doing is changing 459 00:24:12,600 --> 00:24:15,919 Speaker 5: the standards for licensing doctors. After the second year of 460 00:24:15,960 --> 00:24:19,720 Speaker 5: medical schools, students take medical students take something called Step 461 00:24:19,760 --> 00:24:23,760 Speaker 5: one of the US Medical Licensing Exam that used to 462 00:24:23,800 --> 00:24:26,240 Speaker 5: be a graded test, and it would be used by 463 00:24:26,960 --> 00:24:32,000 Speaker 5: hospital residencies to select their residents. Because black students scored 464 00:24:32,080 --> 00:24:37,560 Speaker 5: so poorly on the Step one exam, again predictably because 465 00:24:37,600 --> 00:24:40,960 Speaker 5: they've all been catapulted into schools for which they are 466 00:24:40,960 --> 00:24:46,639 Speaker 5: not competitively qualified, the licensing board decided to get rid 467 00:24:46,680 --> 00:24:48,919 Speaker 5: of scores on step one and just go to a 468 00:24:48,960 --> 00:24:53,600 Speaker 5: pass fail basis, so that residencies selecting their residents would 469 00:24:53,600 --> 00:24:57,959 Speaker 5: not know how students rank. And the pressure is now on, 470 00:24:58,040 --> 00:25:01,960 Speaker 5: of course, to change step one step two, and pressure 471 00:25:02,040 --> 00:25:04,680 Speaker 5: is on. We are already getting rid of the traditional 472 00:25:04,720 --> 00:25:10,359 Speaker 5: standards for medical society honor societies, moving away from academic 473 00:25:10,400 --> 00:25:14,840 Speaker 5: achievement into community involvement, which basically means you're agitating for 474 00:25:14,920 --> 00:25:18,920 Speaker 5: more racial preferences in medical schools or more racial hiring 475 00:25:19,200 --> 00:25:21,280 Speaker 5: in medical faculty as a student. 476 00:25:21,560 --> 00:25:23,000 Speaker 3: You know, Heather, I know you're up on this too. 477 00:25:23,240 --> 00:25:27,520 Speaker 3: In the recent or firmative Action decision that came down, 478 00:25:27,000 --> 00:25:34,199 Speaker 3: Justice Jackson had this line about how I think it 479 00:25:34,240 --> 00:25:39,640 Speaker 3: was a black baby has doubled the survival rate if 480 00:25:39,680 --> 00:25:42,520 Speaker 3: that baby has a black doctor delivering it versus a 481 00:25:42,560 --> 00:25:43,119 Speaker 3: white doctor. 482 00:25:43,160 --> 00:25:46,040 Speaker 2: Do you know the passage I'm talking about? Yes? 483 00:25:46,280 --> 00:25:49,639 Speaker 5: And it was completely misread. The study itself was wrong, 484 00:25:49,840 --> 00:25:54,359 Speaker 5: and she misread this. It's preposterous. This is a topic 485 00:25:54,400 --> 00:25:57,040 Speaker 5: that is really taboo to study. But I was recently 486 00:25:57,080 --> 00:26:00,440 Speaker 5: told about a health economist at Harvard who figured out 487 00:26:00,440 --> 00:26:03,560 Speaker 5: a way to come up with some randomized control sample 488 00:26:03,600 --> 00:26:06,720 Speaker 5: to see how people with heart attacks that were driving 489 00:26:06,760 --> 00:26:12,359 Speaker 5: on the roads did in hospitals and managed to correlate 490 00:26:12,400 --> 00:26:15,560 Speaker 5: it to race of doctors. And the results were so 491 00:26:15,720 --> 00:26:18,080 Speaker 5: damning that the guy didn't publish the paper because he 492 00:26:18,160 --> 00:26:21,840 Speaker 5: knew that if he did, his career would be over. 493 00:26:22,680 --> 00:26:26,200 Speaker 5: And so it just goes to short. You know, either 494 00:26:26,240 --> 00:26:28,640 Speaker 5: we really do not believe that there's such a thing 495 00:26:28,680 --> 00:26:32,760 Speaker 5: as academic merit, and that it's actually possible that there's 496 00:26:32,800 --> 00:26:36,800 Speaker 5: some people that actually no calculus, and I don't there's 497 00:26:36,840 --> 00:26:39,600 Speaker 5: some people who actually understand physics, and I don't. If 498 00:26:39,600 --> 00:26:41,840 Speaker 5: we don't believe that, then les, let's get rid of 499 00:26:41,920 --> 00:26:46,160 Speaker 5: all testing. Let's just admit students based on a lottery. 500 00:26:46,560 --> 00:26:50,159 Speaker 5: You know, if the schools really believe this, they're complete hypocrites. 501 00:26:50,160 --> 00:26:54,800 Speaker 5: They take absolutely contradictory positions that on the one hand, oh, well, 502 00:26:54,840 --> 00:26:56,920 Speaker 5: we don't really want to pay too much attention to scores. 503 00:26:57,240 --> 00:27:00,040 Speaker 5: On the other hand, they continue to do so. But 504 00:27:00,119 --> 00:27:02,480 Speaker 5: if they really didn't believe that the scores matter, they 505 00:27:02,480 --> 00:27:06,479 Speaker 5: should just admit students by lottery. But of course it 506 00:27:06,560 --> 00:27:10,679 Speaker 5: does matter. We all experience there's people who are better 507 00:27:10,800 --> 00:27:14,399 Speaker 5: at academic tasks than others, and those are the ones 508 00:27:14,440 --> 00:27:18,639 Speaker 5: that we should be selecting, as you say, for our doctors, 509 00:27:18,680 --> 00:27:22,840 Speaker 5: for our pilots. And right now everywhere we look rass 510 00:27:22,920 --> 00:27:26,639 Speaker 5: trumping merit and we have decided as a society that 511 00:27:26,680 --> 00:27:29,960 Speaker 5: we would rather have diversity than meritocracy, because at present 512 00:27:30,000 --> 00:27:33,000 Speaker 5: you can't have both. The academic skills gap is so 513 00:27:33,200 --> 00:27:37,439 Speaker 5: great that any time at an institution proudly proclaims we 514 00:27:37,520 --> 00:27:41,159 Speaker 5: are pursuing diversity, here's how you uncode that statement. It 515 00:27:41,280 --> 00:27:43,320 Speaker 5: means we have jettison to meritocracy. 516 00:27:44,320 --> 00:27:45,920 Speaker 2: I think this is also important, Julie. 517 00:27:45,960 --> 00:27:48,359 Speaker 1: I wanted to circle back to the first bit of 518 00:27:48,520 --> 00:27:52,879 Speaker 1: information you were sharing, that Duke study. Sorry, Heather, Julie's 519 00:27:52,920 --> 00:27:57,919 Speaker 1: coming up next, Heather, that first study that you shared 520 00:27:57,960 --> 00:28:00,720 Speaker 1: with us. What you're saying, I think this is so 521 00:28:00,800 --> 00:28:03,640 Speaker 1: important and I want to hammer at home. Is if 522 00:28:03,680 --> 00:28:06,200 Speaker 1: you are a black kid who's admitted, let's say, to Duke, 523 00:28:06,800 --> 00:28:09,600 Speaker 1: and you go in thinking, hey, I did pretty well. 524 00:28:09,960 --> 00:28:12,840 Speaker 1: I want to be a doctor, and you go in 525 00:28:13,040 --> 00:28:16,200 Speaker 1: or scientist, and you go into that first year biology 526 00:28:16,200 --> 00:28:19,960 Speaker 1: class and you get a d because you are going 527 00:28:20,080 --> 00:28:23,440 Speaker 1: head to head with the most supremely talented kids who 528 00:28:23,480 --> 00:28:25,720 Speaker 1: all want to be doctors. Right, there's a huge percentage 529 00:28:25,720 --> 00:28:27,760 Speaker 1: of kids that go into Duke thinking I want to 530 00:28:27,760 --> 00:28:29,720 Speaker 1: be a doctor, and then you get the cold, hard 531 00:28:29,760 --> 00:28:32,280 Speaker 1: slap of reality in physics, or you get it in 532 00:28:32,440 --> 00:28:36,479 Speaker 1: high level biology, and you end up dropping back and 533 00:28:36,560 --> 00:28:40,600 Speaker 1: you're a major in some soft social sciences because it's 534 00:28:40,680 --> 00:28:43,160 Speaker 1: harder to get exposed. I think this is true, and 535 00:28:43,200 --> 00:28:45,200 Speaker 1: I was a history major. I think it's harder to 536 00:28:45,200 --> 00:28:48,440 Speaker 1: get exposed in history or English, which is why a 537 00:28:48,440 --> 00:28:50,640 Speaker 1: lot of you out there ended up history or English 538 00:28:50,680 --> 00:28:54,000 Speaker 1: majors like me, then you would if you went into 539 00:28:54,040 --> 00:28:57,080 Speaker 1: a hard science or a hard math. But if that 540 00:28:57,240 --> 00:29:00,680 Speaker 1: kid had not gone to Duke. Let's say instead, and 541 00:29:00,720 --> 00:29:02,600 Speaker 1: I'm not trying to take a shot here, but let's 542 00:29:02,640 --> 00:29:05,040 Speaker 1: say that kid who goes to Duke instead goes to 543 00:29:05,200 --> 00:29:05,960 Speaker 1: NC State. 544 00:29:06,400 --> 00:29:07,600 Speaker 2: He might end up a. 545 00:29:07,520 --> 00:29:11,920 Speaker 1: Doctor because the quality of the class in math, in science, 546 00:29:12,160 --> 00:29:15,400 Speaker 1: the difficulty of it is better matched with his or 547 00:29:15,400 --> 00:29:19,720 Speaker 1: her academic I think that's so key. You're actually penalizing 548 00:29:19,760 --> 00:29:22,480 Speaker 1: the kid and he's not achieving what he otherwise would 549 00:29:22,560 --> 00:29:25,360 Speaker 1: have by going to a school that's so far above 550 00:29:25,440 --> 00:29:26,680 Speaker 1: his academic ability. 551 00:29:27,480 --> 00:29:31,200 Speaker 5: It's an absolutely cruel and heartless and self involved policy 552 00:29:31,200 --> 00:29:34,480 Speaker 5: on the part of these academic administrators that are determined 553 00:29:34,480 --> 00:29:37,600 Speaker 5: to look out on their faces. You know they're suitably 554 00:29:37,600 --> 00:29:41,280 Speaker 5: diverse faces. It's putting black students at a disadvantage. It 555 00:29:41,440 --> 00:29:44,280 Speaker 5: is subjected them to psychological stress. And the real key 556 00:29:44,320 --> 00:29:49,400 Speaker 5: here is that this whole discourse is so nauseatingly elitist. 557 00:29:49,800 --> 00:29:53,200 Speaker 5: The heads of Harvard and Yale and UC Berkeley all say, well, 558 00:29:53,200 --> 00:29:56,240 Speaker 5: where will we get the future leaders of tomorrow if 559 00:29:56,280 --> 00:30:00,480 Speaker 5: we can't have racial affirmative action. That catapults black students 560 00:30:00,480 --> 00:30:04,200 Speaker 5: into our schools who are not prepared. The idea is 561 00:30:04,200 --> 00:30:07,760 Speaker 5: is that if they do go to North Carolina State University, 562 00:30:07,920 --> 00:30:11,200 Speaker 5: or you see Riverside or you see a Santa Cruz 563 00:30:11,240 --> 00:30:13,800 Speaker 5: or Irvine, that that's just the end of the world. 564 00:30:13,880 --> 00:30:18,520 Speaker 5: They can't possibly compete, they can't possibly become leaders. That's 565 00:30:18,640 --> 00:30:21,640 Speaker 5: just a lie. And the mystery in this whole debate 566 00:30:21,840 --> 00:30:25,840 Speaker 5: is why these colleges that are not the name brand 567 00:30:25,920 --> 00:30:29,520 Speaker 5: IVY leagues haven't stood up for themselves and said, excuse me, 568 00:30:30,360 --> 00:30:33,600 Speaker 5: if students go to my school, they will be just 569 00:30:33,800 --> 00:30:37,680 Speaker 5: as prepared to go to medical school or law school. 570 00:30:37,720 --> 00:30:40,160 Speaker 5: They will be just as prepared to be leaders in 571 00:30:40,200 --> 00:30:46,360 Speaker 5: their community. We offer a completely sound and excellent education. 572 00:30:46,920 --> 00:30:49,120 Speaker 5: But we're all supposed to believe that if it's the 573 00:30:49,240 --> 00:30:51,840 Speaker 5: end of the world for black students to go to 574 00:30:51,880 --> 00:30:55,480 Speaker 5: a school for which they are academically matched with thousands 575 00:30:55,520 --> 00:30:59,320 Speaker 5: and thousands of other white and Asian and Hispanic students, 576 00:30:59,760 --> 00:31:03,960 Speaker 5: why should any student suffer that disability. Why don't we 577 00:31:04,040 --> 00:31:08,959 Speaker 5: shut down North Carolina State University, Bates College, you know, 578 00:31:09,080 --> 00:31:13,080 Speaker 5: you name it, North Carolina, any of them, all the 579 00:31:13,120 --> 00:31:16,600 Speaker 5: whole California state university systems shut them all down because 580 00:31:16,640 --> 00:31:18,480 Speaker 5: it's the end of the world for somebody who goes there, 581 00:31:18,520 --> 00:31:20,560 Speaker 5: and so that everybody can go to Harvard and Yale. 582 00:31:21,480 --> 00:31:22,719 Speaker 2: Excellent point, Heather McDowell. 583 00:31:22,760 --> 00:31:25,239 Speaker 3: Everybody check out her piece in the Spectator on how 584 00:31:25,320 --> 00:31:27,280 Speaker 3: firmative action was hurting the black students. 585 00:31:27,280 --> 00:31:28,720 Speaker 2: Heather, thanks so much for being with us. 586 00:31:29,120 --> 00:31:32,720 Speaker 3: Thanks so much, claim, But look, this could go down 587 00:31:32,760 --> 00:31:35,640 Speaker 3: as the worst government powagram in history. According to brilliant 588 00:31:35,680 --> 00:31:38,520 Speaker 3: economists and author in doctor Nomi Prince, our financial system 589 00:31:38,600 --> 00:31:42,160 Speaker 3: could soon spiral into chaos. She's speaking about a dangerous 590 00:31:42,160 --> 00:31:45,680 Speaker 3: new program put forward by the blind administration. This isn't 591 00:31:45,720 --> 00:31:48,120 Speaker 3: about banning gas powered cars, but about a total ban 592 00:31:48,280 --> 00:31:50,959 Speaker 3: on cash itself. She sees the launch of a new 593 00:31:51,000 --> 00:31:54,200 Speaker 3: technology called fed now. It's an attack on our cash, 594 00:31:54,240 --> 00:31:56,400 Speaker 3: according to doctor Prince, and also on an attack on 595 00:31:56,440 --> 00:31:59,280 Speaker 3: your privacy. May well affect your ability to spend your 596 00:31:59,320 --> 00:32:02,440 Speaker 3: money when you see fit. Soon, something as simple as 597 00:32:02,440 --> 00:32:04,760 Speaker 3: buying a cup of coffee may cause an alarm at 598 00:32:04,760 --> 00:32:07,719 Speaker 3: the irs. Huge changes are coming this summer, starting as 599 00:32:07,720 --> 00:32:10,840 Speaker 3: early as this month July. You should get the facts, 600 00:32:10,960 --> 00:32:13,160 Speaker 3: and you should do so at a specially built website 601 00:32:13,160 --> 00:32:16,400 Speaker 3: with a lot of information. The website address is disappearing. 602 00:32:16,560 --> 00:32:21,120 Speaker 3: Dollar dot com again, that's disappearing dollar dot com. Go 603 00:32:21,240 --> 00:32:23,640 Speaker 3: there now paid for by rogue Economics. 604 00:32:25,440 --> 00:32:29,280 Speaker 2: Get to know the guys outside the issues. Sunday hanged 605 00:32:29,400 --> 00:32:31,400 Speaker 2: with Clay and a new podcast. 606 00:32:31,520 --> 00:32:33,960 Speaker 1: Find it on the iHeart app or wherever you get 607 00:32:34,000 --> 00:32:46,320 Speaker 1: your podcasts. That was fantastic, Heather McDonald. I love how 608 00:32:46,360 --> 00:32:50,840 Speaker 1: she just brings facts because we're all entitled to our opinions. 609 00:32:51,280 --> 00:32:55,040 Speaker 1: My mom used to say all the time, Buck, you know, 610 00:32:55,120 --> 00:32:59,280 Speaker 1: opinions are like butts. Everybody's got one. And I think 611 00:32:59,320 --> 00:33:04,120 Speaker 1: even in today's post biological reality, I think that's still true. 612 00:33:04,480 --> 00:33:08,400 Speaker 1: But facts matter, and facts have to be the essence 613 00:33:08,440 --> 00:33:11,520 Speaker 1: of any argument. And what she said is so compelling 614 00:33:11,760 --> 00:33:14,800 Speaker 1: and no one will address it. And that is that 615 00:33:15,480 --> 00:33:18,600 Speaker 1: actually being mismatched, which does make sense if you just 616 00:33:18,640 --> 00:33:22,960 Speaker 1: think about it intuitively and take away race if you 617 00:33:23,800 --> 00:33:27,200 Speaker 1: are trying to do and I think it's math and science, 618 00:33:27,240 --> 00:33:29,120 Speaker 1: which is a perfect example of it, because you can't 619 00:33:29,120 --> 00:33:32,520 Speaker 1: b es it. Listen to Kamala Harris talk. Kamala Harris 620 00:33:32,600 --> 00:33:35,400 Speaker 1: could graduate with a degree in philosophy or a degree 621 00:33:35,400 --> 00:33:38,760 Speaker 1: in psychology, or a degree in history, or a degree 622 00:33:38,800 --> 00:33:42,600 Speaker 1: in English, the soft majors in college and a lot 623 00:33:42,600 --> 00:33:44,840 Speaker 1: of you that's where your skill set is. That's where 624 00:33:44,840 --> 00:33:47,600 Speaker 1: my skill set was. But if I had rolled into 625 00:33:48,240 --> 00:33:51,880 Speaker 1: high level, you know, math and science courses, my lack 626 00:33:51,920 --> 00:33:55,640 Speaker 1: of knowledge would get exposed there. And that makes total 627 00:33:55,720 --> 00:33:57,800 Speaker 1: sense to me that these kids who get into Duke 628 00:33:57,840 --> 00:34:01,640 Speaker 1: that have no business being there up with far worse outcomes. 629 00:34:01,640 --> 00:34:02,959 Speaker 1: And I'm not trying to take a shot at NC 630 00:34:03,080 --> 00:34:04,840 Speaker 1: State because we're number one in Raleigh and we love 631 00:34:04,880 --> 00:34:08,400 Speaker 1: everybody listening in Raleigh. But it's not the same academic 632 00:34:08,440 --> 00:34:10,680 Speaker 1: heavyweight that Duke is. They could succeed there. 633 00:34:10,760 --> 00:34:11,040 Speaker 2: Well. 634 00:34:11,080 --> 00:34:16,040 Speaker 3: The point is also not about giving people opportunity, really, 635 00:34:16,280 --> 00:34:20,040 Speaker 3: and this is what she's getting at. Fundamentally, the point 636 00:34:20,200 --> 00:34:25,440 Speaker 3: is to hand out Harvard and Yale and Duke degrees 637 00:34:26,480 --> 00:34:29,799 Speaker 3: like a spoil system, and that the point is not 638 00:34:30,360 --> 00:34:33,480 Speaker 3: you're black, you're Latino, you're Native American, you're white, whatever 639 00:34:34,520 --> 00:34:37,279 Speaker 3: you know. Did you earn your point? Did you get 640 00:34:37,280 --> 00:34:40,560 Speaker 3: a great education at Duke. It's you have a Duke degree. 641 00:34:40,640 --> 00:34:43,280 Speaker 3: Now you're gonna get great jobs because remember the affirmative 642 00:34:43,280 --> 00:34:45,960 Speaker 3: action pipeline doesn't stop in college. 643 00:34:46,880 --> 00:34:47,920 Speaker 2: So you get the Duke degree. 644 00:34:47,920 --> 00:34:49,839 Speaker 3: You know what comes next, the affirmative action hiring at 645 00:34:49,840 --> 00:34:52,719 Speaker 3: Goldman Sachs. You get the affirmative action hiring Goldman Sacks. 646 00:34:52,760 --> 00:34:55,080 Speaker 3: You know what comes next, the affirmative action promotion to 647 00:34:55,680 --> 00:34:58,080 Speaker 3: you know, VP or menity director. And then if you 648 00:34:58,080 --> 00:34:59,600 Speaker 3: don't make it beyond that, you know what comes next. 649 00:34:59,640 --> 00:35:02,279 Speaker 3: I don't know, So maybe a lawsuit about racial discrimination. 650 00:35:02,360 --> 00:35:05,319 Speaker 3: You get your ten million dollar payout. That is the 651 00:35:05,400 --> 00:35:10,320 Speaker 3: spoil system that everybody who knows how it functions understands, 652 00:35:10,520 --> 00:35:12,319 Speaker 3: and that is what they are trying to maintain. This 653 00:35:12,440 --> 00:35:15,000 Speaker 3: is not about the best education possible for minorities. This 654 00:35:15,120 --> 00:35:17,120 Speaker 3: is not you know that are applying to these schools. 655 00:35:17,200 --> 00:35:19,520 Speaker 3: This is not about you know, making sure that people 656 00:35:20,040 --> 00:35:24,200 Speaker 3: are as well equipped as possible to be leaders of 657 00:35:24,239 --> 00:35:26,520 Speaker 3: the future. As she pointed out, this is I want 658 00:35:26,520 --> 00:35:30,680 Speaker 3: a fancy degree. I didn't earn it. I think society's unfair. 659 00:35:30,920 --> 00:35:33,959 Speaker 3: So society has to give some people who didn't earn 660 00:35:34,000 --> 00:35:38,440 Speaker 3: it through skill a degree based on social justice. That's 661 00:35:38,520 --> 00:35:40,400 Speaker 3: all this is. It's credential handouts. 662 00:35:41,120 --> 00:35:46,120 Speaker 1: Also, buck it leads to a lower quality of doctor because. 663 00:35:45,800 --> 00:35:47,480 Speaker 2: That's why I've brought up the doctor things. Well, but 664 00:35:47,560 --> 00:35:48,960 Speaker 2: our heart surgeon matters. 665 00:35:49,400 --> 00:35:51,600 Speaker 1: I think it's so important because that kid who went 666 00:35:51,640 --> 00:35:55,759 Speaker 1: to Duke probably does have a higher academic credentialing than 667 00:35:55,800 --> 00:35:58,480 Speaker 1: the kid who went to a lower level school. But 668 00:35:58,520 --> 00:36:00,680 Speaker 1: the kid who goes to the lower level school may 669 00:36:00,760 --> 00:36:03,040 Speaker 1: fit better there, and so he ends up with a 670 00:36:03,040 --> 00:36:06,400 Speaker 1: better outcome, but it's not the better outcome for society. 671 00:36:06,520 --> 00:36:09,560 Speaker 1: We want the smartest doctors imaginable, right, so. 672 00:36:09,640 --> 00:36:12,279 Speaker 3: We want to keep they keep chasing this down and 673 00:36:12,320 --> 00:36:15,200 Speaker 3: trying to to the point that was making trying to 674 00:36:16,400 --> 00:36:19,360 Speaker 3: get rid of, you know, the corners of meritocracy that 675 00:36:19,360 --> 00:36:25,239 Speaker 3: are left, you know, even within medicine specialization and residency 676 00:36:25,280 --> 00:36:27,520 Speaker 3: and there's all these other you know, how good are 677 00:36:27,560 --> 00:36:28,040 Speaker 3: you at this? 678 00:36:28,400 --> 00:36:28,520 Speaker 4: Right? 679 00:36:28,640 --> 00:36:30,200 Speaker 2: Yep? And this is. 680 00:36:30,200 --> 00:36:34,600 Speaker 3: Why you say, okay, uh, do you want somebody who's 681 00:36:34,640 --> 00:36:37,480 Speaker 3: going to be a brain surgeon to be the best 682 00:36:37,520 --> 00:36:41,759 Speaker 3: possible or do you want somebody who is an inspirational 683 00:36:41,800 --> 00:36:45,080 Speaker 3: story to others and to like, you know, corporations that'll 684 00:36:45,120 --> 00:36:47,240 Speaker 3: prove I think you just want the best brain surgeon. 685 00:36:47,560 --> 00:36:50,279 Speaker 1: I'm about to hop on an airplane, buck, You know what, 686 00:36:50,360 --> 00:36:53,080 Speaker 1: I care about the person landing the plane. 687 00:36:53,239 --> 00:36:55,040 Speaker 2: I don't give a damn about anything else. 688 00:36:57,640 --> 00:37:01,680 Speaker 1: Slavee Travis and Buck Sexton on the front lines of 689 00:37:01,880 --> 00:37:02,240 Speaker 1: truth 690 00:37:10,080 --> 00:37:10,120 Speaker 5: M