1 00:00:00,560 --> 00:00:04,040 Speaker 1: Welcome in appreciate all of you hanging out with us 2 00:00:04,160 --> 00:00:09,000 Speaker 1: as we are rolling through the Thursday edition of the program, 3 00:00:09,520 --> 00:00:13,760 Speaker 1: and we have got a loaded program for all of you. 4 00:00:14,760 --> 00:00:20,000 Speaker 1: Nancy Pelosi flustered when she's confronted with insider trading allegations. 5 00:00:20,079 --> 00:00:25,640 Speaker 1: Mom Donnie the Democrat nominee on in the New York 6 00:00:25,680 --> 00:00:30,240 Speaker 1: City mayor's race, we will break down his sudden change 7 00:00:30,240 --> 00:00:34,040 Speaker 1: of heart when it comes to defunding the police. Certainly 8 00:00:34,120 --> 00:00:38,760 Speaker 1: interesting timing there. But we begin with our good friend 9 00:00:39,760 --> 00:00:45,320 Speaker 1: Kamala Harris. Yesterday afternoon, shortly after we finished the program, 10 00:00:45,880 --> 00:00:49,400 Speaker 1: Kamala announced that she will not run for governor in 11 00:00:49,520 --> 00:00:53,239 Speaker 1: twenty twenty six. Since then, she has announced that she 12 00:00:53,360 --> 00:00:57,000 Speaker 1: has a new book out called one hundred and seven 13 00:00:57,120 --> 00:01:02,440 Speaker 1: Days that will be out sometime next month or sorry, 14 00:01:02,440 --> 00:01:04,320 Speaker 1: in September for those of you, I guess it's the 15 00:01:04,440 --> 00:01:06,640 Speaker 1: last day of July. For those of you want to 16 00:01:06,640 --> 00:01:08,640 Speaker 1: make sure that that is on your calendar so that 17 00:01:08,720 --> 00:01:11,080 Speaker 1: you do not miss the opportunity to buy that on 18 00:01:11,120 --> 00:01:13,400 Speaker 1: the release day. It will be coming out in September. 19 00:01:13,959 --> 00:01:17,960 Speaker 1: She also just announced, or it was just reported, that 20 00:01:18,040 --> 00:01:23,320 Speaker 1: she will be Stephen Colbert's guest tonight on his late show. 21 00:01:23,959 --> 00:01:27,279 Speaker 1: This is the very first interview Kamala will have done 22 00:01:27,560 --> 00:01:32,080 Speaker 1: since her epic defeat in the twenty twenty four campaign. 23 00:01:32,640 --> 00:01:35,240 Speaker 1: She has to a large extent, stayed out of public 24 00:01:35,360 --> 00:01:39,240 Speaker 1: view for the last six months or so in the 25 00:01:39,280 --> 00:01:44,479 Speaker 1: wake of that election defeat and the obvious inauguration day 26 00:01:44,520 --> 00:01:49,440 Speaker 1: that followed. But I thought that we should first let's 27 00:01:49,480 --> 00:01:52,400 Speaker 1: start with this. Let's go on the record, Buck if 28 00:01:52,400 --> 00:01:54,360 Speaker 1: you want to, I don't even know what your answer 29 00:01:54,480 --> 00:01:57,840 Speaker 1: is going to be on this. Do you believe that 30 00:01:58,080 --> 00:02:01,360 Speaker 1: she will run in twenty two, twenty eight or do 31 00:02:01,440 --> 00:02:06,040 Speaker 1: you think this is effectively Kamala Harris waiving the proverbial 32 00:02:06,080 --> 00:02:09,240 Speaker 1: white flag and letting it be known that she is 33 00:02:09,320 --> 00:02:14,640 Speaker 1: no longer going to be involved in serious politics. 34 00:02:15,360 --> 00:02:17,880 Speaker 2: You know what I've said all along, Clay, I am 35 00:02:17,919 --> 00:02:22,320 Speaker 2: a firm believer in Kamala Harris is on her way 36 00:02:22,960 --> 00:02:30,240 Speaker 2: to a chancellorship or some other quasi ceremonial overpaid role 37 00:02:30,480 --> 00:02:36,280 Speaker 2: at a UC school, university, California school, or something like that. 38 00:02:36,320 --> 00:02:40,720 Speaker 2: Maybe she is, you know, a senior something or other, 39 00:02:41,680 --> 00:02:46,320 Speaker 2: you know, a chancellor emeritus or something at the Brookings Foundation, 40 00:02:46,520 --> 00:02:49,000 Speaker 2: you know, like, but she's out of the political game. 41 00:02:49,120 --> 00:02:51,200 Speaker 2: Is my point here, the fact that she's written a 42 00:02:51,200 --> 00:02:54,239 Speaker 2: book about the one hundred days. The only way this 43 00:02:54,320 --> 00:02:56,800 Speaker 2: book could be worth reading and could be interesting in 44 00:02:56,880 --> 00:03:01,760 Speaker 2: the least is if Kamala Harris was going score work yeah, 45 00:03:01,800 --> 00:03:06,640 Speaker 2: and just lighting up every Democrat who crossed her, every 46 00:03:06,760 --> 00:03:09,520 Speaker 2: idiot who gave her some of the worst advice I've 47 00:03:09,520 --> 00:03:13,400 Speaker 2: ever seen. It was clear that she was advised, for example, 48 00:03:14,280 --> 00:03:17,760 Speaker 2: not to do media. That was and she started doing 49 00:03:17,800 --> 00:03:22,840 Speaker 2: media when the public outcry was, Hey, you're running for president. 50 00:03:23,320 --> 00:03:27,920 Speaker 2: It's been a few weeks since you became the nominee. Effectively, 51 00:03:28,720 --> 00:03:31,280 Speaker 2: you have to actually talk to people. You can't just 52 00:03:31,360 --> 00:03:34,359 Speaker 2: have the machine do all this for you. But now 53 00:03:34,400 --> 00:03:38,280 Speaker 2: we get to clay, was it actually better for her 54 00:03:38,720 --> 00:03:42,160 Speaker 2: to not do any of the media here is for example, 55 00:03:42,960 --> 00:03:44,280 Speaker 2: Kamala Harris. 56 00:03:43,960 --> 00:03:47,360 Speaker 1: Well, hold on before before we get the Kamala I 57 00:03:47,440 --> 00:03:51,200 Speaker 1: actually disagree. I think she's gonna run. I think she 58 00:03:51,280 --> 00:03:54,640 Speaker 1: will run in twenty twenty. Bet stake best steak. Bet 59 00:03:54,960 --> 00:03:57,720 Speaker 1: Let me let me yes steak bet on Kamala's future. 60 00:03:57,800 --> 00:04:00,000 Speaker 1: Let me lay out why I think she will run 61 00:04:00,400 --> 00:04:04,000 Speaker 1: because I understand market down, team market down. I understand 62 00:04:04,040 --> 00:04:08,640 Speaker 1: your argument of she can get a multimillion dollar relaxed job. 63 00:04:08,800 --> 00:04:13,440 Speaker 1: She isn't actually a very talented politician. It's rare for 64 00:04:13,640 --> 00:04:17,120 Speaker 1: Democrats to renominate a candidate who lost. 65 00:04:17,279 --> 00:04:19,400 Speaker 3: I can run through all of those different things. 66 00:04:20,120 --> 00:04:22,880 Speaker 1: I don't think she has anything else in her life. 67 00:04:22,960 --> 00:04:28,640 Speaker 1: This is me getting into the psychoanalysis of Kamala Harris one. 68 00:04:29,000 --> 00:04:29,800 Speaker 3: She's sixty. 69 00:04:30,279 --> 00:04:34,359 Speaker 1: That is relatively young as these things go in the 70 00:04:34,400 --> 00:04:37,719 Speaker 1: political process. Hillary, somebody can look up the exact age 71 00:04:37,800 --> 00:04:42,599 Speaker 1: Hillary was. But actually, I think Hillary had a I 72 00:04:42,600 --> 00:04:45,280 Speaker 1: can't believe. I'm gonna say Hillary has a life outside 73 00:04:45,360 --> 00:04:48,200 Speaker 1: of politics in some way. She's got a daughter, she's 74 00:04:48,240 --> 00:04:51,200 Speaker 1: got grandkids, She's got a husband that at least she 75 00:04:51,240 --> 00:04:53,839 Speaker 1: has been with for a long time and has some 76 00:04:53,920 --> 00:04:57,880 Speaker 1: sort of relationship with. I don't think Kamala actually likes 77 00:04:57,960 --> 00:05:00,880 Speaker 1: Doug him Hoff. I think he's a loser. I think 78 00:05:00,920 --> 00:05:04,120 Speaker 1: deep down she knows that he's a loser, not a 79 00:05:04,160 --> 00:05:06,520 Speaker 1: particularly likable or charismatic guy. 80 00:05:07,480 --> 00:05:07,640 Speaker 4: Her. 81 00:05:07,880 --> 00:05:11,920 Speaker 1: She doesn't have any kids, she doesn't have any pre 82 00:05:12,080 --> 00:05:17,119 Speaker 1: existing life. She's I can't believe that. I'm not trying 83 00:05:17,120 --> 00:05:20,040 Speaker 1: to just utterly destroy her, but I think she's an 84 00:05:20,120 --> 00:05:24,600 Speaker 1: empty soul. And politics feels the void in her life 85 00:05:24,640 --> 00:05:28,440 Speaker 1: that otherwise doesn't exist. There are other people out there 86 00:05:29,080 --> 00:05:30,800 Speaker 1: that and you all know. 87 00:05:31,040 --> 00:05:33,120 Speaker 2: I would argue with you that Hillary Clinton actually has 88 00:05:33,120 --> 00:05:35,000 Speaker 2: an even bigger hole in her soul and doesn't care 89 00:05:35,040 --> 00:05:36,960 Speaker 2: that she has a husband who she obviously does not 90 00:05:37,080 --> 00:05:39,120 Speaker 2: have any real uh you know. 91 00:05:40,040 --> 00:05:43,880 Speaker 1: Maybe, but she has a daughter, she has grandkids like Hillary. 92 00:05:44,200 --> 00:05:45,440 Speaker 3: I think either. 93 00:05:45,760 --> 00:05:49,960 Speaker 1: I think Hillary has a life that is more filling 94 00:05:50,120 --> 00:05:52,920 Speaker 1: in its way than Kamala does. I mean, I can 95 00:05:53,000 --> 00:05:56,400 Speaker 1: understand the argument, and but I just look at this 96 00:05:56,520 --> 00:05:58,000 Speaker 1: and I say, hey, she was. 97 00:05:58,080 --> 00:06:02,680 Speaker 3: Utterly humiliated in this election, utterly coo. She lost. Yes, 98 00:06:02,720 --> 00:06:04,880 Speaker 3: she lost every swing state. 99 00:06:05,200 --> 00:06:10,680 Speaker 2: She looked like at the same she's a disaster. But 100 00:06:10,760 --> 00:06:13,200 Speaker 2: she can at least say it wasn't why didn't she hear? 101 00:06:13,279 --> 00:06:16,920 Speaker 2: With this book, it's trying to reframe the narrative of 102 00:06:16,960 --> 00:06:19,520 Speaker 2: the disaster. Now, I know you're saying, well, maybe that's 103 00:06:19,520 --> 00:06:21,359 Speaker 2: to reframe it so she can run again in a 104 00:06:21,400 --> 00:06:24,200 Speaker 2: few years, Clay, the Democrats are going to want to 105 00:06:24,240 --> 00:06:30,240 Speaker 2: move on everything Biden related entirely, and at least Kamala 106 00:06:30,320 --> 00:06:33,320 Speaker 2: Harris can go out now on the speaking tour and 107 00:06:33,400 --> 00:06:36,280 Speaker 2: take that Chancellor's job at you know, you see San 108 00:06:36,320 --> 00:06:39,479 Speaker 2: Diego or whatever, making a million dollars a year to 109 00:06:39,480 --> 00:06:42,400 Speaker 2: go to cocktail parties and sound like an imbecile. If 110 00:06:42,400 --> 00:06:45,559 Speaker 2: she runs again, she has to put herself out there 111 00:06:45,880 --> 00:06:50,560 Speaker 2: for other Democrats to further destroy her brand. Now she's 112 00:06:50,760 --> 00:06:53,520 Speaker 2: a former vice president who was pushed into the slot. 113 00:06:53,760 --> 00:06:55,640 Speaker 2: That's obviously part. I haven't read the book, but I 114 00:06:55,640 --> 00:06:56,839 Speaker 2: could tell you what the book's about. 115 00:06:56,880 --> 00:06:57,800 Speaker 3: It was I did my. 116 00:06:57,760 --> 00:07:00,640 Speaker 2: Best under difficult circumstances, and like, you know, please don't 117 00:07:00,640 --> 00:07:04,240 Speaker 2: hate me. That's her book, it's not I'm amazing. I'm 118 00:07:04,240 --> 00:07:07,760 Speaker 2: the leader of the Democrat Party going forward. And Gavin Newsom, 119 00:07:08,000 --> 00:07:10,880 Speaker 2: by the way, he is going to work all the donors. 120 00:07:10,880 --> 00:07:13,720 Speaker 2: He's gonna work the entire system in California. So there's 121 00:07:13,760 --> 00:07:14,320 Speaker 2: not even a. 122 00:07:14,360 --> 00:07:17,320 Speaker 3: Hint of a lane for Kamala to run. We got 123 00:07:17,320 --> 00:07:19,560 Speaker 3: a stake on this one. I get the argument. Your 124 00:07:19,640 --> 00:07:20,840 Speaker 3: argument is not a bad one. 125 00:07:21,120 --> 00:07:23,200 Speaker 1: I just think she has to do this because I 126 00:07:23,200 --> 00:07:25,200 Speaker 1: don't think she has anything else in her life, and 127 00:07:25,280 --> 00:07:27,160 Speaker 1: I think there are a lot of people that advise 128 00:07:27,240 --> 00:07:31,120 Speaker 1: her that also are incentivized to build her back up 129 00:07:31,560 --> 00:07:33,520 Speaker 1: and convince her that she needs to run. 130 00:07:33,600 --> 00:07:34,080 Speaker 3: Here's the other. 131 00:07:34,240 --> 00:07:36,880 Speaker 2: I think politics was the easiest way for her to 132 00:07:36,960 --> 00:07:39,880 Speaker 2: get a job that paid her and gave her prominence 133 00:07:39,920 --> 00:07:43,080 Speaker 2: and access. And if that now is offered to her 134 00:07:43,120 --> 00:07:46,400 Speaker 2: outside of politics, she would far. She's never had to 135 00:07:46,480 --> 00:07:49,800 Speaker 2: run a real campaign, obviously, look at the campaign she ran. 136 00:07:51,200 --> 00:07:54,960 Speaker 2: She is the dee, the pinnacle of Dei and it 137 00:07:55,040 --> 00:07:55,920 Speaker 2: all collapsed. 138 00:07:56,440 --> 00:07:59,280 Speaker 1: But look at the like I can't believe that I'm 139 00:07:59,280 --> 00:08:05,560 Speaker 1: now going to be made making the commed showtrageous. It 140 00:08:05,600 --> 00:08:09,720 Speaker 1: is that I'm now if I'm Kamala's chief commissar, her 141 00:08:09,800 --> 00:08:13,800 Speaker 1: chief of staff, whoever her conflict consigliari is, they don't 142 00:08:13,800 --> 00:08:18,360 Speaker 1: pounce the g consolieri consiliary, whoever the person is that 143 00:08:18,440 --> 00:08:21,440 Speaker 1: can put her in a position that then elevates his 144 00:08:21,640 --> 00:08:25,560 Speaker 1: or her position. Look at the rest of the Democrat 145 00:08:25,600 --> 00:08:30,320 Speaker 1: field of minority candidates, and we know black voters are 146 00:08:30,360 --> 00:08:36,400 Speaker 1: a huge part of the overall electorate. Look, Stacy Abrams 147 00:08:36,400 --> 00:08:38,960 Speaker 1: is dead in the water, Karen Bass is dead in 148 00:08:39,000 --> 00:08:43,000 Speaker 1: the water. There is no black female candidate unless Oprah 149 00:08:43,120 --> 00:08:46,280 Speaker 1: runs or somebody like that that can go into the 150 00:08:46,400 --> 00:08:48,880 Speaker 1: Kamala arena right to get the nomination. This is the 151 00:08:48,880 --> 00:08:51,960 Speaker 1: way I'm sketching it out in her mind. Wes Moore 152 00:08:52,080 --> 00:08:57,160 Speaker 1: is unchallenged. Corey Booker is is just lighting himself on fire. 153 00:08:58,120 --> 00:09:01,960 Speaker 1: She is the number one my norready candidate in a 154 00:09:02,040 --> 00:09:06,800 Speaker 1: field buck that may start in South Carolina because remember 155 00:09:07,000 --> 00:09:10,199 Speaker 1: there's now a battle over what is the overall flow 156 00:09:10,320 --> 00:09:14,520 Speaker 1: chart of the Democrat Party. If James Clyburn says as 157 00:09:14,559 --> 00:09:18,640 Speaker 1: he did when Kamala got elevated, it's Kamala, She'll be 158 00:09:18,679 --> 00:09:21,280 Speaker 1: the nominee. There's going to be a bunch of white guys. 159 00:09:21,360 --> 00:09:24,360 Speaker 1: Gavin Newsom, I hope you're right. I hope you're right, 160 00:09:24,400 --> 00:09:26,880 Speaker 1: But you're you're saying, you're saying why she's going to 161 00:09:26,920 --> 00:09:29,120 Speaker 1: be the nominee or why she's going to run. Well, 162 00:09:29,240 --> 00:09:31,520 Speaker 1: I think guy's going to be the nominee. We gotta 163 00:09:31,559 --> 00:09:33,240 Speaker 1: go more than a stake. I need like a trip 164 00:09:33,280 --> 00:09:36,959 Speaker 1: to Saint Barbe. That's that's where. That's where they're going 165 00:09:37,040 --> 00:09:39,720 Speaker 1: to pitch her. So I'm just sketching out why she's 166 00:09:39,760 --> 00:09:42,640 Speaker 1: going to run because they're going to say, you're the 167 00:09:42,679 --> 00:09:46,360 Speaker 1: only black candidate that can get black support. If James 168 00:09:46,360 --> 00:09:49,480 Speaker 1: Clyburn is still live in South Carolina and he says 169 00:09:49,600 --> 00:09:53,160 Speaker 1: you're the pick, much like Joe Biden became the nominee. 170 00:09:53,440 --> 00:09:58,080 Speaker 1: Look Mayor, Pete, Gavin Newsom, Josh Shapiro, They're all kind 171 00:09:58,080 --> 00:10:00,360 Speaker 1: of running for the same lane. 172 00:10:00,640 --> 00:10:02,000 Speaker 3: Who is the just put it to. 173 00:10:02,040 --> 00:10:07,400 Speaker 2: The lost everywhere she could possibly lose as badly as 174 00:10:07,440 --> 00:10:10,320 Speaker 2: she could lose. It would be almost unthinkable for a 175 00:10:10,400 --> 00:10:15,720 Speaker 2: Democrat to underperform Kamala's numbers in this last election. You're 176 00:10:15,720 --> 00:10:18,320 Speaker 2: going to get me. I hope what you're saying is true. 177 00:10:18,360 --> 00:10:21,080 Speaker 2: I just think the Democrats aren't that insane, Okay. 178 00:10:21,080 --> 00:10:22,760 Speaker 3: I mean, here's what I'm saying. 179 00:10:22,800 --> 00:10:25,280 Speaker 1: They're going to pitch to her, who is the minority 180 00:10:25,360 --> 00:10:27,920 Speaker 1: candidate that is going to get the black vote instead 181 00:10:27,960 --> 00:10:28,160 Speaker 1: of her? 182 00:10:28,160 --> 00:10:30,160 Speaker 2: I don't think Democrats think that. I don't think Democrats 183 00:10:30,160 --> 00:10:32,679 Speaker 2: are necessarily going to run a minority. Joe Biden, by 184 00:10:32,679 --> 00:10:35,480 Speaker 2: the way, had phenomenal support among the black community of 185 00:10:35,520 --> 00:10:36,640 Speaker 2: Democrat voters. 186 00:10:36,800 --> 00:10:38,079 Speaker 3: I don't think you need to run a mind. I 187 00:10:38,120 --> 00:10:40,000 Speaker 3: think you're artificially limiting the field. 188 00:10:40,360 --> 00:10:43,600 Speaker 1: But Joe Biden didn't have to overcome a minority candidate 189 00:10:43,640 --> 00:10:45,960 Speaker 1: because Kamala was so bad she had already dropped out. 190 00:10:46,040 --> 00:10:48,599 Speaker 1: It was Joe Biden when by the time Cliburn. 191 00:10:48,240 --> 00:10:51,280 Speaker 2: Made sure there was Corey Booker, there was Kamala Harris, 192 00:10:51,320 --> 00:10:53,800 Speaker 2: there was that guy from those guys as the congressman 193 00:10:53,840 --> 00:10:55,120 Speaker 2: who's Latin Latin America. 194 00:10:55,160 --> 00:10:57,920 Speaker 1: Those guys were gone by the time Cliburn had to 195 00:10:57,960 --> 00:11:01,400 Speaker 1: make the decision. Remember, if they start in South Carolina, 196 00:11:01,440 --> 00:11:03,920 Speaker 1: and I don't know that they are. If they start 197 00:11:03,960 --> 00:11:06,440 Speaker 1: in South Carolina, then the black vote is going to matter. 198 00:11:06,520 --> 00:11:09,160 Speaker 1: The black vote doesn't matter in Iowa and New Hampshire 199 00:11:09,160 --> 00:11:12,120 Speaker 1: because it doesn't exist, which is why Democrats have said, hey, 200 00:11:12,120 --> 00:11:15,000 Speaker 1: we should start with South Carolina. You start with South 201 00:11:15,040 --> 00:11:18,439 Speaker 1: Carolina again, that will be a signe of whether Kamala 202 00:11:18,520 --> 00:11:20,240 Speaker 1: is gonna run. I think she's gonna run. 203 00:11:20,240 --> 00:11:21,640 Speaker 3: So do you disagree with. 204 00:11:21,520 --> 00:11:24,760 Speaker 2: This statement if they run Kamala in well, see, no, 205 00:11:25,320 --> 00:11:27,320 Speaker 2: we're conflating a little bit here because you're saying she's 206 00:11:27,320 --> 00:11:30,480 Speaker 2: going to run. Maybe she runs, but if she does, 207 00:11:30,520 --> 00:11:32,400 Speaker 2: she's doing it for the book sales and the attention. 208 00:11:32,520 --> 00:11:33,800 Speaker 3: I would I would we agree? 209 00:11:33,960 --> 00:11:34,160 Speaker 4: Chance? 210 00:11:36,240 --> 00:11:37,920 Speaker 3: Zero zero chance. 211 00:11:38,960 --> 00:11:40,839 Speaker 1: I don't even agree with that because if they start 212 00:11:40,840 --> 00:11:44,120 Speaker 1: with South Carolina, I think it will be a minority voter, 213 00:11:44,400 --> 00:11:48,360 Speaker 1: a minority candidate that gets the South Carolina primary win. 214 00:11:48,720 --> 00:11:51,559 Speaker 3: Now maybe it's West running for governor of California. Why 215 00:11:51,600 --> 00:11:53,920 Speaker 3: wouldn't she do it? No, why isn't she doing it? 216 00:11:54,120 --> 00:11:54,280 Speaker 4: Oh? 217 00:11:54,320 --> 00:11:56,280 Speaker 1: Because I think she doesn't think that it gains her 218 00:11:56,320 --> 00:12:00,720 Speaker 1: any standing. If she runs in twenty twenty eight, Like. 219 00:12:01,480 --> 00:12:04,640 Speaker 2: Clai, twenty twenty eight is a long time away. People 220 00:12:04,679 --> 00:12:07,719 Speaker 2: are going to forget who Kamala Harris is. What might 221 00:12:07,760 --> 00:12:09,960 Speaker 2: be might be good for her, That's what I'm saying. 222 00:12:09,960 --> 00:12:11,520 Speaker 2: It might be good, though, but I think her name 223 00:12:11,559 --> 00:12:14,199 Speaker 2: recognition is going to fade along with it. I think 224 00:12:14,240 --> 00:12:16,520 Speaker 2: she's in a far better position running for president if 225 00:12:16,559 --> 00:12:20,360 Speaker 2: she was the governor of California. I just I actually 226 00:12:20,440 --> 00:12:23,440 Speaker 2: think if she's governor, she exposes herself because she does 227 00:12:23,520 --> 00:12:26,440 Speaker 2: far more public events. She's an empty suit. She's an 228 00:12:26,480 --> 00:12:28,920 Speaker 2: awful candidate. But I think you have to get into 229 00:12:29,040 --> 00:12:33,160 Speaker 2: her peanut brain and think as she lays this all out, 230 00:12:33,679 --> 00:12:35,080 Speaker 2: I think she is going to run. 231 00:12:35,160 --> 00:12:37,000 Speaker 1: Let's put in a pole question. I'm curious, like what 232 00:12:37,080 --> 00:12:39,959 Speaker 1: people think. By the way, you could weigh in and 233 00:12:40,040 --> 00:12:43,119 Speaker 1: we got a long time to think of. But remember people. 234 00:12:42,880 --> 00:12:45,920 Speaker 3: Are a various fellow. I think he's wrong top to 235 00:12:45,920 --> 00:12:47,600 Speaker 3: bottom on this one. I think he's wrong. 236 00:12:47,640 --> 00:12:51,720 Speaker 1: People are going to announce by January of twenty seven, 237 00:12:52,559 --> 00:12:55,199 Speaker 1: So it sounds like it's a long time away until 238 00:12:55,240 --> 00:12:58,840 Speaker 1: November of twenty eight. But people, the Democrats are going 239 00:12:58,880 --> 00:13:01,720 Speaker 1: to officially be chopping at the bit and announcing in 240 00:13:01,840 --> 00:13:02,840 Speaker 1: January February. 241 00:13:02,840 --> 00:13:04,559 Speaker 2: You may be right, I may be right, but we 242 00:13:05,200 --> 00:13:07,920 Speaker 2: have deprived the audience of the greatest hits of Kamala 243 00:13:07,960 --> 00:13:10,839 Speaker 2: because of how we will play those. We would hit those, Yes, 244 00:13:11,080 --> 00:13:13,680 Speaker 2: we have to hit those, okay, because that I think 245 00:13:13,720 --> 00:13:18,840 Speaker 2: will also shed some light on the discussion. Wow, Kamala Harris. Wow, 246 00:13:19,120 --> 00:13:21,920 Speaker 2: you know we talk about the The best case maybe 247 00:13:21,960 --> 00:13:25,640 Speaker 2: for a Kamala resurgence would be the career of Joe Biden, 248 00:13:25,640 --> 00:13:29,120 Speaker 2: who ran three times. Was a total loser, but that 249 00:13:29,280 --> 00:13:32,720 Speaker 2: was contingent upon a once in a century pandemic and 250 00:13:32,800 --> 00:13:37,240 Speaker 2: a mass delusion that allowed a dementia patient to hide 251 00:13:37,280 --> 00:13:40,240 Speaker 2: in a basement and have people cheering for him to 252 00:13:40,360 --> 00:13:43,800 Speaker 2: be hiding in that basement. You would need clay, something 253 00:13:44,280 --> 00:13:47,520 Speaker 2: completely world changing for Kama. They would have to be 254 00:13:47,600 --> 00:13:50,960 Speaker 2: like the COVID pandemic. For Kamala. Harris even be the nominee. 255 00:13:51,280 --> 00:13:56,560 Speaker 1: But remember Biden was the nominee before COVID hit. He 256 00:13:56,640 --> 00:14:00,079 Speaker 1: won in South Carolina because Clyburn said vote for and 257 00:14:00,360 --> 00:14:04,280 Speaker 1: then Super Tuesday happened, all before COVID became an issue, 258 00:14:04,520 --> 00:14:06,440 Speaker 1: and then they hit him right if he had. 259 00:14:06,320 --> 00:14:08,959 Speaker 3: Had to be I mean how he became president. 260 00:14:09,000 --> 00:14:11,480 Speaker 1: But yeah, but even yeah, but even the nominee, they 261 00:14:11,520 --> 00:14:15,559 Speaker 1: basically just said it's Biden and to knock out Bernie Well, 262 00:14:15,600 --> 00:14:18,520 Speaker 1: that was name recognition, tied to him being eight years 263 00:14:18,520 --> 00:14:22,120 Speaker 1: of Obama's wingman. That's that was the whole decision, and 264 00:14:22,160 --> 00:14:24,760 Speaker 1: it was the system just deciding that the guy who 265 00:14:24,800 --> 00:14:27,000 Speaker 1: was with the guy who won twice can win again. 266 00:14:27,560 --> 00:14:30,440 Speaker 1: And it was a very unique moment in time for 267 00:14:30,560 --> 00:14:33,000 Speaker 1: Joe Biden because obviously he wasn't even leading and they 268 00:14:33,000 --> 00:14:33,520 Speaker 1: picked him. 269 00:14:33,960 --> 00:14:35,480 Speaker 2: But that's because they thought he could win and they 270 00:14:35,520 --> 00:14:37,840 Speaker 2: managed to do it. I know, they cheated whatever. But 271 00:14:38,920 --> 00:14:41,200 Speaker 2: Kamala Harris Clay Clay, all right. 272 00:14:41,080 --> 00:14:41,880 Speaker 3: We'll get into this. 273 00:14:41,960 --> 00:14:46,640 Speaker 1: He's gonna say, I deserve to be the full nominee. 274 00:14:46,720 --> 00:14:49,200 Speaker 1: I deserve a black woman. They just threw me in 275 00:14:49,280 --> 00:14:50,120 Speaker 1: to try to take. 276 00:14:50,000 --> 00:14:52,280 Speaker 2: The your your buddy Cuomo, who you said was gonna 277 00:14:52,280 --> 00:14:54,160 Speaker 2: be mayor and then president. He's about to get his 278 00:14:54,200 --> 00:14:56,760 Speaker 2: ass kicked by Mom, Donnie. I know he was gonna run. 279 00:14:57,360 --> 00:15:00,800 Speaker 2: I said he was gonna run for president. And that's 280 00:15:00,840 --> 00:15:02,800 Speaker 2: a mess. I did not see Mom Donnie. 281 00:15:02,840 --> 00:15:03,240 Speaker 3: Come, I don't. 282 00:15:03,280 --> 00:15:04,720 Speaker 2: I don't think if he gets his ass kicked by 283 00:15:04,720 --> 00:15:06,960 Speaker 2: Mom Donnie, he's gonna run for president after that. 284 00:15:07,040 --> 00:15:08,720 Speaker 3: I think that's But if you were able to win 285 00:15:08,800 --> 00:15:10,479 Speaker 3: as an independent, I think you would. 286 00:15:10,680 --> 00:15:12,680 Speaker 2: The thing is, some of these people are insane enough 287 00:15:12,720 --> 00:15:15,440 Speaker 2: that I can't entirely even if I. 288 00:15:15,360 --> 00:15:16,320 Speaker 3: Have anything else. 289 00:15:16,400 --> 00:15:18,680 Speaker 1: This is where your argument of what do you actually 290 00:15:18,760 --> 00:15:21,800 Speaker 1: lose by running for president is actually a good one, 291 00:15:21,880 --> 00:15:24,960 Speaker 1: Like most people, I guess. I mean, if you're telling 292 00:15:25,000 --> 00:15:26,840 Speaker 1: me that is Kama gonna run in a few years 293 00:15:26,880 --> 00:15:28,920 Speaker 1: and she's gonna end up with like five percent or 294 00:15:28,920 --> 00:15:32,000 Speaker 1: ten percent of the vote or something, I'm like maybe. 295 00:15:32,000 --> 00:15:33,680 Speaker 3: But all right, all right, let's hear from all of 296 00:15:33,680 --> 00:15:34,880 Speaker 3: you on this. We got a lot to talk about. You 297 00:15:34,920 --> 00:15:36,000 Speaker 3: gotta read. 298 00:15:37,080 --> 00:15:40,160 Speaker 1: Rapid radios in fact, and rapid radios can be a 299 00:15:40,240 --> 00:15:44,080 Speaker 1: solution if you have bad reception in your I don't 300 00:15:44,120 --> 00:15:47,200 Speaker 1: know what's happened now. My cell phone's not working at 301 00:15:47,200 --> 00:15:49,520 Speaker 1: my house anymore. I don't know if China's gotten to me. 302 00:15:49,560 --> 00:15:52,240 Speaker 1: I've lived in the same house for a decade. All 303 00:15:52,280 --> 00:15:55,120 Speaker 1: of a sudden, I can't get a phone call in 304 00:15:55,160 --> 00:15:58,480 Speaker 1: my house. I don't even know what's happened. It's driving 305 00:15:58,520 --> 00:16:02,640 Speaker 1: me crazy. We have rapid radios. I'm having to FaceTime people. 306 00:16:02,960 --> 00:16:05,360 Speaker 1: You know what it's like to have to FaceTime another 307 00:16:05,480 --> 00:16:08,000 Speaker 1: guy and he's like, why are you calling me on FaceTime? 308 00:16:08,040 --> 00:16:10,200 Speaker 1: It's because I'm on the Wi Fi and otherwise it 309 00:16:10,280 --> 00:16:13,360 Speaker 1: won't work. I'm gonna have to give everybody rapid radios 310 00:16:13,400 --> 00:16:15,880 Speaker 1: that I ever call, because now I'm cursed and my 311 00:16:15,960 --> 00:16:18,320 Speaker 1: cell phone doesn't Is this like you, do you have 312 00:16:18,440 --> 00:16:20,360 Speaker 1: a kid, Do you have a mother in law? Does 313 00:16:20,400 --> 00:16:23,680 Speaker 1: somebody live in a place where it's unreliable? Maybe you 314 00:16:23,880 --> 00:16:26,440 Speaker 1: just want to have an additional way to communicate. Get 315 00:16:26,440 --> 00:16:29,840 Speaker 1: hooked up right now with rapid radios and you will 316 00:16:29,880 --> 00:16:32,680 Speaker 1: be well on your way to being able to communicate 317 00:16:32,680 --> 00:16:34,400 Speaker 1: all over the country, even if you have a bad 318 00:16:34,400 --> 00:16:37,280 Speaker 1: cell phone signal, even if you have unreliable cell phones. 319 00:16:37,640 --> 00:16:40,520 Speaker 1: You can get hooked up right now. Limited time offer. 320 00:16:40,640 --> 00:16:43,880 Speaker 1: Visit rapid radios dot com to save up to sixty 321 00:16:43,920 --> 00:16:48,000 Speaker 1: percent get free ups shipping from Michigan. And when you 322 00:16:48,120 --> 00:16:51,120 Speaker 1: use the promo Code Radio, you'll get an extra five 323 00:16:51,200 --> 00:16:54,960 Speaker 1: percent off. That's Code Radio Rapid Radios dot Com. We 324 00:16:55,040 --> 00:16:57,160 Speaker 1: have them in the Travis household. I'm gonna be talking 325 00:16:57,160 --> 00:16:59,720 Speaker 1: to people on radios now. Or use them from my 326 00:16:59,760 --> 00:17:03,000 Speaker 1: mother in law. Get hooked up right now Rapid Radios 327 00:17:03,040 --> 00:17:07,360 Speaker 1: dot Com to save sixty percent. That's Rapid Radios dot Com. 328 00:17:07,400 --> 00:17:12,560 Speaker 1: Code Radio Making America great again isn't just one man, 329 00:17:12,760 --> 00:17:13,720 Speaker 1: It's many. 330 00:17:14,000 --> 00:17:17,639 Speaker 5: The Team forty seven podcast Sunday's at noon Eastern in 331 00:17:17,840 --> 00:17:20,399 Speaker 5: the Clay and Buck podcast feed. Find it on the 332 00:17:20,440 --> 00:17:23,680 Speaker 5: iHeartRadio app or wherever you get your podcasts. 333 00:17:23,880 --> 00:17:26,399 Speaker 3: Clay, have you heard of the Rio Reset? Sounds like 334 00:17:26,440 --> 00:17:28,080 Speaker 3: a trendy new workout. 335 00:17:27,680 --> 00:17:30,320 Speaker 2: Buck, It does, but it's actually a big summit going 336 00:17:30,320 --> 00:17:33,040 Speaker 2: on in Brazil. The formal name is BRICKS, which stands 337 00:17:33,040 --> 00:17:36,400 Speaker 2: for Brazil, Russia, India, China and South Africa. But they've 338 00:17:36,480 --> 00:17:37,840 Speaker 2: just added five new members. 339 00:17:38,119 --> 00:17:40,919 Speaker 1: Smart move to stick with Bricks. We know what happens 340 00:17:40,960 --> 00:17:43,400 Speaker 1: when acronyms don't end. They confuse everyone. 341 00:17:43,440 --> 00:17:44,520 Speaker 3: Well that's an understatement. 342 00:17:44,840 --> 00:17:47,560 Speaker 2: Bricks is a group of emerging economies hoping to increase 343 00:17:47,600 --> 00:17:49,840 Speaker 2: their sway in the global financial order. 344 00:17:50,000 --> 00:17:52,280 Speaker 3: Now that sounds like the plot line of a movie. 345 00:17:52,600 --> 00:17:53,159 Speaker 3: I'm listening. 346 00:17:53,400 --> 00:17:56,879 Speaker 2: Philip Patrick is our Bruce Wayne. He's a precious metal 347 00:17:56,960 --> 00:17:59,920 Speaker 2: specialist and a spokesman for the Birch Gold Group. He's 348 00:18:00,160 --> 00:18:02,760 Speaker 2: on the ground in Rio getting the whole low down 349 00:18:02,800 --> 00:18:03,880 Speaker 2: on what's going on there. 350 00:18:04,040 --> 00:18:05,640 Speaker 3: Can he give us some inside intel? 351 00:18:05,880 --> 00:18:09,000 Speaker 2: Absolutely, He's been there since day one. In fact, a 352 00:18:09,040 --> 00:18:11,560 Speaker 2: major theme at the summit is how bricks nations aim 353 00:18:11,600 --> 00:18:14,920 Speaker 2: to reduce reliance on the US dollar in global trade. 354 00:18:15,000 --> 00:18:17,479 Speaker 3: Yikes, that doesn't sound good. We got to get Philip 355 00:18:17,520 --> 00:18:18,119 Speaker 3: on the line. 356 00:18:18,240 --> 00:18:20,720 Speaker 2: Stat already did and he left the Clay and Buck 357 00:18:20,840 --> 00:18:22,240 Speaker 2: audience this message. 358 00:18:22,680 --> 00:18:27,240 Speaker 6: The world is moving on from the dollar quietly but steadily. 359 00:18:27,680 --> 00:18:31,880 Speaker 6: These nations are making real progress towards reshaping global trade, 360 00:18:32,200 --> 00:18:35,800 Speaker 6: and the US dollar is no longer the centerpiece. That 361 00:18:35,920 --> 00:18:40,720 Speaker 6: shift doesn't happen overnight, but make no mistake, it's already begun. 362 00:18:40,960 --> 00:18:43,520 Speaker 2: Thank you, Philip. Protect the value of your savings account, 363 00:18:43,520 --> 00:18:45,800 Speaker 2: your four oh one k r ira, all of them, 364 00:18:46,000 --> 00:18:48,600 Speaker 2: by purchasing gold and placing it into those accounts and 365 00:18:48,640 --> 00:18:52,240 Speaker 2: reducing your exposure to a declining dollar value. Text my 366 00:18:52,359 --> 00:18:54,920 Speaker 2: name Buck to ninety eight ninety eight, ninety eight, you 367 00:18:54,960 --> 00:18:57,680 Speaker 2: get the free information you'll need to make the right decision. 368 00:18:57,920 --> 00:19:00,040 Speaker 2: You can rely on Birch Gold Group as I'm I 369 00:19:00,160 --> 00:19:02,360 Speaker 2: do to give you the information you need to make 370 00:19:02,359 --> 00:19:05,400 Speaker 2: an informed decision. One more time, text my name Buck 371 00:19:05,440 --> 00:19:08,320 Speaker 2: to ninety eight ninety eight ninety eight. Some new data 372 00:19:08,440 --> 00:19:12,359 Speaker 2: has come out on the New York City mayor's race. 373 00:19:12,840 --> 00:19:15,359 Speaker 2: And if anyone's wondering, why should you care you live 374 00:19:15,840 --> 00:19:18,080 Speaker 2: in the Midwest, or the South, or the West Coast, 375 00:19:18,200 --> 00:19:23,719 Speaker 2: or the sun Belt or the Ohio River Valley or wherever, well, 376 00:19:24,200 --> 00:19:27,080 Speaker 2: because this is going to be I think a test 377 00:19:27,119 --> 00:19:31,320 Speaker 2: case for the Democrat Party nationwide. Can they win in 378 00:19:31,320 --> 00:19:34,800 Speaker 2: the biggest city in America with really the furthest left 379 00:19:34,800 --> 00:19:40,760 Speaker 2: wing candidate that we've seen at this level at least 380 00:19:40,840 --> 00:19:42,720 Speaker 2: of a mayor's race in New York for a very 381 00:19:42,760 --> 00:19:46,400 Speaker 2: long time. This guy is more radical than to Blasio, 382 00:19:46,640 --> 00:19:50,200 Speaker 2: certainly more a left wing than Mayor Eric Adams. 383 00:19:50,240 --> 00:19:51,840 Speaker 3: And this is. 384 00:19:52,119 --> 00:19:54,560 Speaker 2: A moment in time where the Democrats are going to 385 00:19:54,600 --> 00:19:58,480 Speaker 2: have to start to choose. Remember it was sly of 386 00:19:58,480 --> 00:20:02,840 Speaker 2: Biden during the whole Blm anti cop mess in twenty twenty. 387 00:20:03,400 --> 00:20:07,440 Speaker 2: Biden never said defund police. I do think he knew enough. 388 00:20:07,480 --> 00:20:10,840 Speaker 2: He'd been in the game long enough to know that 389 00:20:11,040 --> 00:20:13,920 Speaker 2: was going to be a big problem for him in 390 00:20:13,960 --> 00:20:15,879 Speaker 2: the general election if he did it, which he didn't do. 391 00:20:16,520 --> 00:20:19,880 Speaker 2: So whenever people talk about the Democrats defund police, that 392 00:20:19,880 --> 00:20:24,440 Speaker 2: that became a oh, it's AOC and it's it's the 393 00:20:25,040 --> 00:20:28,640 Speaker 2: squad and it was not associated with Biden specifically, even 394 00:20:28,640 --> 00:20:31,480 Speaker 2: though Kamala Harris, I know, you know, wanted to. 395 00:20:31,800 --> 00:20:33,240 Speaker 3: Did she put out a tweet. 396 00:20:33,280 --> 00:20:35,760 Speaker 2: About the raising money for people in Minneapolis or something 397 00:20:35,880 --> 00:20:36,600 Speaker 2: or the bail fund? 398 00:20:36,680 --> 00:20:38,119 Speaker 3: Right, I mean, it's still Kamala. 399 00:20:39,119 --> 00:20:44,760 Speaker 2: Yeah, Kamala was more defund police by for sure than 400 00:20:44,800 --> 00:20:49,399 Speaker 2: Joe Biden was. But Mamdannie has had to show up 401 00:20:49,440 --> 00:20:52,720 Speaker 2: and speak in the aftermath of an NYPD officer gave 402 00:20:52,720 --> 00:20:55,360 Speaker 2: his life in the line of duty trying to defend 403 00:20:56,080 --> 00:20:59,640 Speaker 2: innocent people in that building, that office building on Park 404 00:20:59,680 --> 00:21:03,360 Speaker 2: Avan during that mass shooting a few days ago, and 405 00:21:03,640 --> 00:21:05,439 Speaker 2: he's being asked, He's like, hold on, you are a 406 00:21:05,520 --> 00:21:07,320 Speaker 2: disband police guy. 407 00:21:07,440 --> 00:21:08,520 Speaker 3: You want to be the mayor. 408 00:21:09,080 --> 00:21:12,280 Speaker 2: Now you're showing up after a cop died in a 409 00:21:12,320 --> 00:21:15,960 Speaker 2: line of duty trying to stop a deranged gunman where 410 00:21:15,960 --> 00:21:21,960 Speaker 2: do you really stand on disbanding, for example, an elite 411 00:21:22,080 --> 00:21:25,640 Speaker 2: NYPD unit that would respond to shootings just like this. 412 00:21:25,640 --> 00:21:27,360 Speaker 2: This is what Mom Donnie said, Play fifteen. 413 00:21:27,880 --> 00:21:32,399 Speaker 7: Over the course of this race, I've been very clear 414 00:21:32,480 --> 00:21:35,360 Speaker 7: about my view of public safety and the critical rule 415 00:21:35,440 --> 00:21:39,760 Speaker 7: that police have in creating that public safety that officers 416 00:21:39,800 --> 00:21:43,320 Speaker 7: are tasked with delivering while we ask them to respond 417 00:21:43,320 --> 00:21:45,960 Speaker 7: to nearly every failure of the social safety net, and 418 00:21:46,000 --> 00:21:49,359 Speaker 7: the vision that we've put forward in this campaign, despite 419 00:21:49,359 --> 00:21:51,600 Speaker 7: what others may say, is not to defund the police. 420 00:21:51,600 --> 00:21:54,520 Speaker 7: It is, in fact, to allow those officers to respond 421 00:21:55,080 --> 00:21:57,560 Speaker 7: to these serious crimes that many of them signed up 422 00:21:58,000 --> 00:22:03,040 Speaker 7: to address, and to do so by ensuring that we 423 00:22:03,119 --> 00:22:05,440 Speaker 7: ask them to focus on those crimes, and we ask 424 00:22:05,560 --> 00:22:09,480 Speaker 7: mental health professionals to respond to calls of mental health crisis. 425 00:22:10,960 --> 00:22:14,520 Speaker 2: Great mental health professionals. How many mental health professionals are 426 00:22:14,560 --> 00:22:16,840 Speaker 2: they going to have on speed dial to deal with 427 00:22:16,840 --> 00:22:20,880 Speaker 2: with the NYPD terms an EDP, emotionally disturbed person, a lunatic, 428 00:22:21,040 --> 00:22:24,199 Speaker 2: like if we're running around the streets at three am naked, 429 00:22:24,880 --> 00:22:26,480 Speaker 2: barking like a dog and this stuff. 430 00:22:26,760 --> 00:22:28,000 Speaker 3: That stuff happens in New York. 431 00:22:28,040 --> 00:22:31,159 Speaker 2: Okay, this is reality for the cops there, they say, oh, 432 00:22:31,160 --> 00:22:33,120 Speaker 2: we got an e VP we gotta do. They will 433 00:22:33,119 --> 00:22:38,560 Speaker 2: eventually take you to a mental health facility. But even 434 00:22:38,640 --> 00:22:42,040 Speaker 2: this idea that you're going to have mental health people respond, 435 00:22:42,840 --> 00:22:45,360 Speaker 2: what does that even mean? All they're going to try 436 00:22:45,400 --> 00:22:48,080 Speaker 2: to do is get somebody to that facility. And by 437 00:22:48,119 --> 00:22:50,400 Speaker 2: the way, if they don't have cops there, they may 438 00:22:50,440 --> 00:22:52,720 Speaker 2: be attacked, bludgeons stabbed. 439 00:22:54,640 --> 00:22:55,639 Speaker 3: Does anyone want like. 440 00:22:55,640 --> 00:22:59,360 Speaker 2: A psychiatrist with the uh, you know, the tweed jacket 441 00:22:59,359 --> 00:23:02,240 Speaker 2: with the elbow to show up when some maniac is 442 00:23:02,320 --> 00:23:04,360 Speaker 2: waving a machete saying he wants to kill everybody? 443 00:23:04,520 --> 00:23:05,520 Speaker 3: What? 444 00:23:05,320 --> 00:23:08,080 Speaker 2: What world does Mom Dani and the people who support him? 445 00:23:08,119 --> 00:23:09,080 Speaker 2: What world do they live in? 446 00:23:09,720 --> 00:23:09,800 Speaker 7: Not? 447 00:23:09,960 --> 00:23:13,080 Speaker 1: The real one is the answer and the scary thing. 448 00:23:13,240 --> 00:23:14,920 Speaker 1: And then look, this is the argument I made a 449 00:23:14,960 --> 00:23:17,800 Speaker 1: couple of weeks ago on the show. I think at 450 00:23:17,840 --> 00:23:22,879 Speaker 1: some point democrats have to have to deal with the 451 00:23:23,000 --> 00:23:25,679 Speaker 1: choices that they are going to make. It's almost like 452 00:23:25,720 --> 00:23:28,560 Speaker 1: being a parent, and a lot of you out there 453 00:23:28,840 --> 00:23:32,399 Speaker 1: know what I'm talking about. If your kid keeps making 454 00:23:32,440 --> 00:23:35,320 Speaker 1: the wrong decisions and you do your best to steer 455 00:23:35,359 --> 00:23:37,359 Speaker 1: them away from it, you steer them away from it, 456 00:23:37,440 --> 00:23:40,640 Speaker 1: You steer them away from it. Sooner or later, experience 457 00:23:40,760 --> 00:23:44,439 Speaker 1: becomes the best teacher. Where you do something that is 458 00:23:44,520 --> 00:23:48,240 Speaker 1: moronic and your parents or your grandparents told you not 459 00:23:48,320 --> 00:23:50,960 Speaker 1: to do it, you do it, and then you're like, boy, 460 00:23:50,960 --> 00:23:54,639 Speaker 1: that was really dumb. And part of parenting is trying 461 00:23:54,640 --> 00:23:57,280 Speaker 1: to keep kids from doing things that are so stupid 462 00:23:57,359 --> 00:24:02,080 Speaker 1: that they ruin their future lifer unfortunately, even lose it. 463 00:24:03,000 --> 00:24:07,439 Speaker 1: And I feel like for Democrats they have to wear it. 464 00:24:08,200 --> 00:24:11,840 Speaker 1: They picked mom DOMI and I get it. People out 465 00:24:11,880 --> 00:24:14,600 Speaker 1: there of wr many of you are listening in the 466 00:24:14,640 --> 00:24:17,400 Speaker 1: Manhattan area and you're looking around. You're saying, Clay, you're 467 00:24:17,440 --> 00:24:19,840 Speaker 1: just gonna throw us to the wolves. This guy's a moron. 468 00:24:20,320 --> 00:24:24,800 Speaker 1: Why should Republicans have to save Democrats from the awful 469 00:24:24,880 --> 00:24:27,480 Speaker 1: choices that they're trying to make. If you want to 470 00:24:27,480 --> 00:24:30,720 Speaker 1: put a communist in charge of New York City, deal 471 00:24:30,760 --> 00:24:34,120 Speaker 1: with it, New York deal with it. Why should all 472 00:24:34,160 --> 00:24:37,200 Speaker 1: of us have to cobble together votes from Andrew Cuomo, 473 00:24:37,280 --> 00:24:42,320 Speaker 1: who's awful, or Eric Adams, who's mediocre, or Curtis Sliwa, 474 00:24:42,440 --> 00:24:45,360 Speaker 1: who's otherwise not going to be able to win because 475 00:24:45,440 --> 00:24:47,680 Speaker 1: the idiots of New York City are otherwise going to 476 00:24:47,840 --> 00:24:53,520 Speaker 1: endorse a guy who was sharing videos and tweets saying 477 00:24:53,600 --> 00:24:56,399 Speaker 1: defund the police. I saw a new clip that he 478 00:24:56,480 --> 00:24:59,639 Speaker 1: shared where it's like somebody, a police officer, was crying 479 00:24:59,640 --> 00:25:01,720 Speaker 1: in a car and he's celebrating it. 480 00:25:03,400 --> 00:25:05,400 Speaker 3: I just I find this guy to be. 481 00:25:07,280 --> 00:25:13,600 Speaker 1: Utterly false in a way that is even staggering for politicians. 482 00:25:13,640 --> 00:25:15,919 Speaker 1: And I'm my concern, Buck, is you heard that answer 483 00:25:15,960 --> 00:25:20,600 Speaker 1: right there. My concern is he's just gonna try to 484 00:25:20,640 --> 00:25:23,880 Speaker 1: glide because he is glib and he is good at talking. 485 00:25:24,400 --> 00:25:27,400 Speaker 1: He's just going to glide away from all the crazy 486 00:25:27,440 --> 00:25:29,919 Speaker 1: opinions he had and say, well, that's not what I 487 00:25:30,000 --> 00:25:32,480 Speaker 1: really meant. That's not really her way that I wanted applied. 488 00:25:33,040 --> 00:25:34,960 Speaker 1: Here's a perfect example. This has cut sixteen. 489 00:25:35,000 --> 00:25:37,720 Speaker 2: He has asked straight up if he wished that he 490 00:25:37,800 --> 00:25:41,400 Speaker 2: hadn't said he wanted to defund the police play sixteen. 491 00:25:41,760 --> 00:25:44,399 Speaker 3: Do I wish you hadn't said some of those things 492 00:25:44,520 --> 00:25:45,400 Speaker 3: a few years back? 493 00:25:49,000 --> 00:25:55,000 Speaker 7: My statements in twenty twenty were ones made amidst a 494 00:25:55,040 --> 00:25:59,240 Speaker 7: frustration that many New Yorkers held at the murder of 495 00:25:59,280 --> 00:26:04,679 Speaker 7: George Floyd and the inability to deliver on what Eric 496 00:26:04,720 --> 00:26:13,479 Speaker 7: adoms of all people described as the right for all 497 00:26:13,520 --> 00:26:16,320 Speaker 7: of us to be able to enjoy safety and justice. 498 00:26:16,560 --> 00:26:18,280 Speaker 7: That we need not choose between the two. 499 00:26:19,640 --> 00:26:22,040 Speaker 3: It's just a non answer. Which is what this which 500 00:26:22,080 --> 00:26:22,919 Speaker 3: is what he's going to do. 501 00:26:23,240 --> 00:26:27,480 Speaker 1: And you're right about Joe Biden wasn't crazy enough to 502 00:26:27,520 --> 00:26:31,359 Speaker 1: go fully down the defund the police BLM train, because 503 00:26:31,400 --> 00:26:33,280 Speaker 1: I think at that point in time he had enough 504 00:26:33,359 --> 00:26:36,840 Speaker 1: sanity to recognize that that was a poor decision. And 505 00:26:36,840 --> 00:26:39,119 Speaker 1: we've said on this program, probably the only thing Joe 506 00:26:39,160 --> 00:26:41,679 Speaker 1: Biden got right in his whole career was the nineteen 507 00:26:41,760 --> 00:26:45,040 Speaker 1: ninety four Crime Bill, which helped to put violent criminals 508 00:26:45,040 --> 00:26:47,560 Speaker 1: behind bars, kept them off the streets, and has led 509 00:26:47,600 --> 00:26:50,840 Speaker 1: to at that point a decline in the overall rate 510 00:26:50,880 --> 00:27:00,000 Speaker 1: of violence. Mamdanie is just he's an inauthentic yet articulate politician, 511 00:27:00,880 --> 00:27:03,560 Speaker 1: and that means that he is going to be able 512 00:27:03,640 --> 00:27:07,640 Speaker 1: to avoid consequences for anything that that he has said. 513 00:27:07,680 --> 00:27:09,520 Speaker 1: I think, and I think unfortunately he's going to be 514 00:27:09,560 --> 00:27:12,479 Speaker 1: elected the next mayor of New York City. The latest, 515 00:27:12,840 --> 00:27:15,439 Speaker 1: the latest polling on this, the latest polling does not 516 00:27:15,520 --> 00:27:18,760 Speaker 1: look good for anyone who's hoping Mom Donnie does not 517 00:27:18,920 --> 00:27:22,879 Speaker 1: win because however you split it. Even if Cuomo drops, 518 00:27:22,920 --> 00:27:26,240 Speaker 1: he wins, If Adams drops, he wins, If a combination drops, 519 00:27:26,280 --> 00:27:30,000 Speaker 1: he's it's not looking good. Uh, and it's it's I 520 00:27:30,000 --> 00:27:35,199 Speaker 1: think disproportionately the well, I know it is disproportionately the 521 00:27:35,320 --> 00:27:38,600 Speaker 1: under forty vote in New York that he is counting on. 522 00:27:39,119 --> 00:27:40,960 Speaker 1: And there are people who live in New York City, 523 00:27:40,960 --> 00:27:43,520 Speaker 1: and I understand this one of the great frustrations. And 524 00:27:43,520 --> 00:27:45,400 Speaker 1: this is true in a lot of cities in America 525 00:27:45,520 --> 00:27:48,080 Speaker 1: right now. It's certainly true in San Francisco, it's true 526 00:27:48,119 --> 00:27:51,440 Speaker 1: in La I'm sure people complain even about the price 527 00:27:51,440 --> 00:27:54,199 Speaker 1: of housing in downtown Nashville now right. I mean, you know, 528 00:27:54,200 --> 00:27:56,280 Speaker 1: people say it's expensive or it's got a lot more 529 00:27:56,320 --> 00:28:00,000 Speaker 1: expensive not compared to New York. But prices can run 530 00:28:00,240 --> 00:28:02,960 Speaker 1: in these areas pretty rapidly. But in New York the 531 00:28:03,320 --> 00:28:07,920 Speaker 1: housing supply is artificially constrained in a number of ways 532 00:28:07,960 --> 00:28:13,840 Speaker 1: by the regulations, by the super tenant friendly and landlord 533 00:28:14,000 --> 00:28:20,080 Speaker 1: hostile laws that are in place, the massive welfare programs 534 00:28:20,160 --> 00:28:24,320 Speaker 1: for housing that you know, I think it's a ny 535 00:28:24,760 --> 00:28:26,960 Speaker 1: h AA or whatever is in the New York City 536 00:28:26,960 --> 00:28:27,680 Speaker 1: Housing Authority. 537 00:28:29,040 --> 00:28:30,000 Speaker 3: There's a lot, and. 538 00:28:30,040 --> 00:28:32,480 Speaker 2: There's rent control, there's all these things that the government 539 00:28:32,480 --> 00:28:35,399 Speaker 2: has done. Oh, and there's all the illegals. I mean, 540 00:28:35,440 --> 00:28:37,720 Speaker 2: you go through this whole list. There's all these things 541 00:28:37,760 --> 00:28:42,520 Speaker 2: that are government decisions that have made housing substantially more 542 00:28:42,560 --> 00:28:44,880 Speaker 2: expensive than it would otherwise be in New York. And 543 00:28:44,960 --> 00:28:48,280 Speaker 2: here comes a guy whose entire ideology is in line 544 00:28:48,320 --> 00:28:51,040 Speaker 2: with all of those decisions, who's saying, oh, but I'm 545 00:28:51,080 --> 00:28:54,480 Speaker 2: going to make things cheaper for you, and it's not 546 00:28:54,560 --> 00:28:58,360 Speaker 2: going to work. The people who are sitting around saying, oh, 547 00:28:58,400 --> 00:29:00,320 Speaker 2: but I'll be able to afford to live here if 548 00:29:00,320 --> 00:29:04,440 Speaker 2: Mom Donnie is the mayor are guaranteed to be very disappointed, 549 00:29:05,120 --> 00:29:07,600 Speaker 2: but they're still gonna vote for him. And you know, 550 00:29:07,640 --> 00:29:10,440 Speaker 2: this is like real communism has never been tried, you know, 551 00:29:10,640 --> 00:29:14,080 Speaker 2: real mom donniism. You're gonna see, they're gonna they're gonna 552 00:29:14,080 --> 00:29:16,720 Speaker 2: come up with some reason why someone else stopped and whatever. 553 00:29:17,120 --> 00:29:18,960 Speaker 2: The things that he is saying he's going to do 554 00:29:19,000 --> 00:29:23,480 Speaker 2: are guaranteed to fail. Bringing social workers instead, not even 555 00:29:23,560 --> 00:29:26,600 Speaker 2: in addition to police, instead of police to mostly disturbed calls. 556 00:29:27,240 --> 00:29:31,200 Speaker 2: Imagine if that cop in Virginia, Clay who responded it 557 00:29:31,200 --> 00:29:33,000 Speaker 2: was a wellness check on somebody who was having a 558 00:29:33,000 --> 00:29:33,840 Speaker 2: mental breakdown. 559 00:29:34,600 --> 00:29:36,240 Speaker 3: Imagine it was the cop as a social worker. 560 00:29:36,240 --> 00:29:39,200 Speaker 2: That social worker by the former Georgetown player would have 561 00:29:39,200 --> 00:29:42,120 Speaker 2: been stabbed to death with a butcher knife in that 562 00:29:42,160 --> 00:29:44,320 Speaker 2: hallway in that building we all saw on the body camp. 563 00:29:44,360 --> 00:29:46,240 Speaker 3: So what the heck is going on here? 564 00:29:46,800 --> 00:29:50,560 Speaker 1: It's not even you can every he's wrong on everything, 565 00:29:51,000 --> 00:29:53,240 Speaker 1: but the one that I look at, and I really 566 00:29:53,280 --> 00:29:57,520 Speaker 1: it's not even blm because that was such a defund 567 00:29:57,560 --> 00:30:00,920 Speaker 1: the police. Any moron that you knew on social media 568 00:30:01,040 --> 00:30:05,400 Speaker 1: in twenty twenty, oftentimes highly educated, was making that argument 569 00:30:05,440 --> 00:30:08,880 Speaker 1: in twenty twenty. That one doesn't even surprise me as much. 570 00:30:10,120 --> 00:30:12,560 Speaker 1: The fact that he's arguing that we should have city 571 00:30:12,680 --> 00:30:17,840 Speaker 1: owned grocery stores is so dumb, Like that by itself 572 00:30:18,640 --> 00:30:23,920 Speaker 1: is so profoundly dumb. And he's making that argument right now. 573 00:30:23,920 --> 00:30:26,560 Speaker 1: He's not even trying to backtrack on that. He's saying, oh, 574 00:30:26,640 --> 00:30:29,800 Speaker 1: grocery stores are making too much money. The profit margin 575 00:30:29,880 --> 00:30:33,120 Speaker 1: on a grocery store is two percent at best. It 576 00:30:33,200 --> 00:30:36,520 Speaker 1: is one of the most difficult businesses to do well 577 00:30:37,080 --> 00:30:41,240 Speaker 1: in all of American commerce. And if you just look 578 00:30:41,280 --> 00:30:44,840 Speaker 1: at all these socialist countries that decide, Hey, we're going 579 00:30:44,920 --> 00:30:48,880 Speaker 1: to have government funded grocery store. You can't go buy anything. 580 00:30:49,160 --> 00:30:51,760 Speaker 1: People stand in line for hours, there's never any food there, 581 00:30:51,800 --> 00:30:54,440 Speaker 1: you can't price control. And suddenly he thinks in New 582 00:30:54,520 --> 00:30:58,200 Speaker 1: York City, where it's hard to bring things into anyway, right, 583 00:30:58,600 --> 00:31:03,240 Speaker 1: the expensive for trucks and frigeration and everything else that's required, 584 00:31:03,720 --> 00:31:06,160 Speaker 1: and he's arguing, Hey, I'm going to save people money 585 00:31:06,240 --> 00:31:09,920 Speaker 1: on groceries by taking it over and doing city funding 586 00:31:09,960 --> 00:31:16,640 Speaker 1: grocery stores. Is so transparently unable to understand basic economics 587 00:31:17,080 --> 00:31:19,280 Speaker 1: that that by itself is disqualifying to me. 588 00:31:19,360 --> 00:31:21,080 Speaker 2: Well, this is what I mean is it's not like 589 00:31:21,160 --> 00:31:23,440 Speaker 2: there's a trade off here. And this is I think 590 00:31:23,440 --> 00:31:25,280 Speaker 2: also exactly what you're getting at. It's not that there's 591 00:31:25,280 --> 00:31:28,000 Speaker 2: a trade off here of Oh, well, people want the 592 00:31:28,040 --> 00:31:31,280 Speaker 2: following things from Mamdani, and even if he's bad on 593 00:31:31,320 --> 00:31:33,600 Speaker 2: some things that you and I and others care about, 594 00:31:35,160 --> 00:31:39,280 Speaker 2: he will deliver on things that they want. He's going 595 00:31:39,320 --> 00:31:41,720 Speaker 2: to fail on the things that they think they're getting 596 00:31:41,760 --> 00:31:44,480 Speaker 2: as well. Yes, it's just going to be a disaster 597 00:31:44,600 --> 00:31:45,440 Speaker 2: across the board. 598 00:31:47,040 --> 00:31:51,720 Speaker 1: And he doesn't even have he's articulate what has he 599 00:31:51,800 --> 00:31:55,160 Speaker 1: ever done that is any level of success. One rule 600 00:31:55,240 --> 00:31:58,200 Speaker 1: that I wish was in place is in order to 601 00:31:58,240 --> 00:32:02,080 Speaker 1: be running for politics, you have to have been profoundly 602 00:32:02,160 --> 00:32:05,880 Speaker 1: successful in some other aspect of your life. Right, Hey, 603 00:32:05,920 --> 00:32:08,760 Speaker 1: I had success here and now I'm going to try politics. 604 00:32:09,320 --> 00:32:13,120 Speaker 1: What has mom Donnie ever done that he's been successful at. 605 00:32:13,280 --> 00:32:14,600 Speaker 1: I mean, look, he's very artic. 606 00:32:14,720 --> 00:32:17,360 Speaker 2: He wasn't even successful at faking being black so he 607 00:32:17,360 --> 00:32:20,200 Speaker 2: could get into Columbia University, which is that's right, quite 608 00:32:20,240 --> 00:32:20,600 Speaker 2: a feat. 609 00:32:21,000 --> 00:32:23,280 Speaker 1: I mean, he's good at communication, I guess, but he's 610 00:32:23,280 --> 00:32:27,080 Speaker 1: never been successful to my knowledge in the communication fields anyway. 611 00:32:27,400 --> 00:32:29,400 Speaker 1: I just I think New York City is going to 612 00:32:29,480 --> 00:32:31,600 Speaker 1: make this choice. I think he's going to be elected mayor, 613 00:32:32,080 --> 00:32:35,400 Speaker 1: and maybe he's just going to completely change all of 614 00:32:35,440 --> 00:32:39,240 Speaker 1: his opinions. There's that possibility, But if he actually tries 615 00:32:39,280 --> 00:32:41,440 Speaker 1: to implement the things that he's arguing for, it's going 616 00:32:41,520 --> 00:32:43,320 Speaker 1: to be one of the biggest disasters the city has 617 00:32:43,360 --> 00:32:46,400 Speaker 1: seen in any of our lives in terms of elected 618 00:32:46,440 --> 00:32:49,680 Speaker 1: political officials. Set yourself up to have more energy with 619 00:32:49,720 --> 00:32:53,600 Speaker 1: our friends at chalk spelled cchoq. You do not want 620 00:32:53,640 --> 00:32:56,240 Speaker 1: to have Joe Biden energy. You want to have Donald 621 00:32:56,240 --> 00:32:59,040 Speaker 1: Trump energy. You don't want to have the energy of 622 00:32:59,440 --> 00:33:02,960 Speaker 1: some Bay loser mail out there who's offended because Sidney 623 00:33:02,960 --> 00:33:07,320 Speaker 1: Sweeney is too good looking in her gene commercial. And 624 00:33:08,280 --> 00:33:11,440 Speaker 1: you don't want to have so little testosterone that you're 625 00:33:11,440 --> 00:33:14,640 Speaker 1: not even looking at attractive women anymore and noticing them. 626 00:33:14,920 --> 00:33:17,240 Speaker 1: If that's you, that's fine. You can listen to other shows. 627 00:33:17,280 --> 00:33:19,720 Speaker 1: You can go after try to lower your testosterone level 628 00:33:19,720 --> 00:33:22,080 Speaker 1: even even more. You can go listen to NPR, you 629 00:33:22,080 --> 00:33:24,920 Speaker 1: can go watch MSNBC. I'm betting that's not you, though. 630 00:33:25,080 --> 00:33:27,720 Speaker 1: I'm betting you'd like to have a higher testosterone level. 631 00:33:27,760 --> 00:33:29,600 Speaker 1: And this is all natural and it can increase your 632 00:33:29,600 --> 00:33:33,400 Speaker 1: testosterone level by twenty percent in three months, while also 633 00:33:34,040 --> 00:33:37,440 Speaker 1: again all naturally giving you way more energy. What do 634 00:33:37,480 --> 00:33:39,760 Speaker 1: you have to lose? Why not check it out chalk 635 00:33:39,840 --> 00:33:43,280 Speaker 1: dot com my name Clay for a massive discount on 636 00:33:43,400 --> 00:33:47,600 Speaker 1: any subscription for life. You can cancel anytime, no penalties, 637 00:33:47,680 --> 00:33:49,800 Speaker 1: no worries. All you have to do is go to 638 00:33:49,880 --> 00:33:55,600 Speaker 1: cchoq dot com my name Clay. That's choq dot com, 639 00:33:55,600 --> 00:33:59,240 Speaker 1: my name Clay for a massive discount on any subscription. 640 00:33:59,000 --> 00:34:00,840 Speaker 3: For Life's imagining it. 641 00:34:01,840 --> 00:34:06,440 Speaker 5: The world has gone insane, reclaim your sanity with Clay 642 00:34:06,480 --> 00:34:10,000 Speaker 5: and Fun. Find them on the free iHeartRadio app or 643 00:34:10,080 --> 00:34:11,919 Speaker 5: wherever you get your podcasts. 644 00:34:12,000 --> 00:34:15,520 Speaker 1: We are joined now by doctor Oz, who does a 645 00:34:15,560 --> 00:34:20,719 Speaker 1: fabulous job inside of the Trump administration, working on so 646 00:34:20,800 --> 00:34:24,440 Speaker 1: many different issues out there. He is the administrator of 647 00:34:24,480 --> 00:34:28,040 Speaker 1: the Centers for Medicare and Medicaid Services and working to 648 00:34:28,120 --> 00:34:32,680 Speaker 1: make health technology great again. There's a lot going on 649 00:34:33,480 --> 00:34:38,760 Speaker 1: when it comes to the cost of healthcare, for sure, 650 00:34:39,160 --> 00:34:42,640 Speaker 1: doctor Oz, you've been dealing with it for your entire life. 651 00:34:43,040 --> 00:34:46,080 Speaker 1: Are you optimistic about changes that you guys are going 652 00:34:46,120 --> 00:34:49,160 Speaker 1: to be able to implement inside of the Trump administration? 653 00:34:49,640 --> 00:34:52,560 Speaker 1: Part one and Part two? What should we expect to see? 654 00:34:52,600 --> 00:34:54,400 Speaker 1: Thanks for coming on with us. 655 00:34:54,880 --> 00:34:58,840 Speaker 4: God bless you. I am optimistic. I'll as a doctor 656 00:34:58,880 --> 00:35:01,120 Speaker 4: often has to. There's some news I should get out 657 00:35:01,120 --> 00:35:03,040 Speaker 4: of the way first, and then We've moved to the growth. 658 00:35:03,040 --> 00:35:05,480 Speaker 4: But we are spending twice as much per capita as 659 00:35:05,480 --> 00:35:08,439 Speaker 4: any other country in the planet on our people left 660 00:35:08,480 --> 00:35:12,960 Speaker 4: expectancy despite that investment is now five years shorter than Europe. 661 00:35:13,560 --> 00:35:15,479 Speaker 4: We're sicker. It's one of the reasons that we don't 662 00:35:15,520 --> 00:35:17,359 Speaker 4: live as long and that we do have to pay 663 00:35:17,400 --> 00:35:19,720 Speaker 4: more because of our chronic illness. This is why the 664 00:35:19,800 --> 00:35:23,440 Speaker 4: MAHA movement has gained such traction, because moms know that 665 00:35:23,520 --> 00:35:25,960 Speaker 4: it's gotten really hard to be healthy in America. But 666 00:35:26,160 --> 00:35:29,759 Speaker 4: the good news is that ninety percent of all the expenses, 667 00:35:29,840 --> 00:35:32,359 Speaker 4: ninety percent of all the problems that I think we're 668 00:35:32,360 --> 00:35:35,439 Speaker 4: facing both is paying for health care, but also being 669 00:35:35,480 --> 00:35:39,160 Speaker 4: healthy is around chronic disease, which we have some control over, 670 00:35:39,320 --> 00:35:41,960 Speaker 4: and mental illness. They work together, and I could say 671 00:35:41,960 --> 00:35:45,000 Speaker 4: the number one driver of all this is probably loneliness 672 00:35:45,239 --> 00:35:47,440 Speaker 4: because if you're by yourself, there's no one to crutch on. 673 00:35:47,600 --> 00:35:49,759 Speaker 4: We are social creatures, you know. A good part of 674 00:35:49,800 --> 00:35:52,320 Speaker 4: our brain powers reading the face and listening to the 675 00:35:52,400 --> 00:35:55,239 Speaker 4: voice of people around us, and people right now making 676 00:35:55,239 --> 00:35:57,080 Speaker 4: sense to play what you're saying just because they can 677 00:35:57,280 --> 00:36:00,680 Speaker 4: hear subtle little intonations in your tone. That all becomes 678 00:36:00,719 --> 00:36:03,360 Speaker 4: hugely valuable. And when you lose that, you tend to 679 00:36:03,360 --> 00:36:05,719 Speaker 4: become adamized, separate from everybody else. So part of the 680 00:36:05,840 --> 00:36:09,160 Speaker 4: challenge in the Trump administration, and President's very very clear 681 00:36:09,200 --> 00:36:11,920 Speaker 4: on this is break the silos down, break down the barriers, 682 00:36:12,160 --> 00:36:14,839 Speaker 4: and then use the power to convene. And by that 683 00:36:14,880 --> 00:36:18,160 Speaker 4: he means, you know, allow people to know that you're serious, 684 00:36:18,200 --> 00:36:20,160 Speaker 4: that you have a stick you'll use if you have to, 685 00:36:20,680 --> 00:36:22,680 Speaker 4: but you'd rather use carrots to get them to work 686 00:36:22,719 --> 00:36:25,960 Speaker 4: together on their own voluntarily. And that's what happened yesterday 687 00:36:26,000 --> 00:36:28,680 Speaker 4: at the White House. President hosted a wonderful event. It 688 00:36:28,800 --> 00:36:31,080 Speaker 4: was a sixtieth anniversary by the way of the Forum 689 00:36:31,120 --> 00:36:34,160 Speaker 4: Foundation of Medicare and Medicaid, the agencies that I run, 690 00:36:34,920 --> 00:36:39,480 Speaker 4: and the President had sixty of the biggest technology companies, 691 00:36:39,520 --> 00:36:43,120 Speaker 4: the healthcare companies in America pledge promise they were going 692 00:36:43,160 --> 00:36:45,799 Speaker 4: to do business differently. They're going to give the American 693 00:36:45,880 --> 00:36:49,520 Speaker 4: people their medical records back. You own them, they're yours, 694 00:36:49,560 --> 00:36:52,160 Speaker 4: You paid for them, You got the care that you needed, 695 00:36:52,200 --> 00:36:54,759 Speaker 4: and there's information about that you should have access to. 696 00:36:55,280 --> 00:36:58,200 Speaker 4: And so we are getting all these companies together, and 697 00:36:58,719 --> 00:37:01,040 Speaker 4: together are going to make possible. We'll use it on 698 00:37:01,080 --> 00:37:04,160 Speaker 4: your phone, the ability to get information and advice about 699 00:37:04,239 --> 00:37:07,560 Speaker 4: your well being, to get your doctor bill to message 700 00:37:07,560 --> 00:37:10,560 Speaker 4: you directly that may in fact make doctor's appointments, which 701 00:37:10,600 --> 00:37:13,120 Speaker 4: is hard for a lot of Americans, and get the 702 00:37:13,160 --> 00:37:15,920 Speaker 4: whole process to move forward in the twenty first century. 703 00:37:16,200 --> 00:37:18,320 Speaker 4: Like so many other sectors of the American economy have 704 00:37:18,480 --> 00:37:21,440 Speaker 4: with great productivity and success. 705 00:37:21,160 --> 00:37:24,080 Speaker 2: Doctor Oz. One of the things you're hearing a lot 706 00:37:24,200 --> 00:37:26,520 Speaker 2: out there, or we're hearing a lot out there. I'm 707 00:37:26,520 --> 00:37:29,359 Speaker 2: sure you do too from people who are critical of 708 00:37:29,360 --> 00:37:33,240 Speaker 2: Trump well on everything, but particularly of the Big Beautiful 709 00:37:33,239 --> 00:37:36,719 Speaker 2: Bill has to do with throwing millions of people off 710 00:37:36,719 --> 00:37:39,320 Speaker 2: of Medicaid. We are told, right this is the talking 711 00:37:39,360 --> 00:37:42,239 Speaker 2: point from the Democrats. Can you just break down what 712 00:37:42,280 --> 00:37:46,239 Speaker 2: did the Big Beautiful Bill do with respect to Medicaid 713 00:37:46,560 --> 00:37:48,520 Speaker 2: and health care funding so that everyone can hear it 714 00:37:48,520 --> 00:37:51,399 Speaker 2: from somebody who's living with these spreadsheets right in front 715 00:37:51,400 --> 00:37:51,759 Speaker 2: of him. 716 00:37:53,320 --> 00:37:57,400 Speaker 4: The one, big beautiful Bill saved Medicaid, this beautiful program 717 00:37:57,640 --> 00:38:02,920 Speaker 4: that was described by Hubant Humphrey as fulfilling our moral 718 00:38:02,960 --> 00:38:05,759 Speaker 4: and government obligation to take care of those at the 719 00:38:05,840 --> 00:38:08,680 Speaker 4: dawn of life, the children, those at the toilet of life, 720 00:38:08,800 --> 00:38:11,479 Speaker 4: the seniors, and those living in the shadows. Think about 721 00:38:11,480 --> 00:38:14,960 Speaker 4: that metaphor that's who was designed for. Back then, it 722 00:38:15,080 --> 00:38:17,640 Speaker 4: never crossed anybody's mind that you would let an able 723 00:38:17,680 --> 00:38:20,640 Speaker 4: bodied person live forever on Medicaid without having to at 724 00:38:20,719 --> 00:38:24,880 Speaker 4: least tried to participate in the community, and every Democratic President. 725 00:38:24,960 --> 00:38:28,120 Speaker 4: Every Republican president has said the foundation of a social 726 00:38:28,160 --> 00:38:30,839 Speaker 4: state net is work. You're not supposed to just give 727 00:38:30,880 --> 00:38:33,560 Speaker 4: people money and insurance. You're supposed to say, here, this 728 00:38:33,719 --> 00:38:35,480 Speaker 4: is something for you to get you back on your 729 00:38:35,480 --> 00:38:37,920 Speaker 4: feet again, so that together we can row the oars 730 00:38:37,920 --> 00:38:40,439 Speaker 4: and get society to be productive and get America to thrive. 731 00:38:40,840 --> 00:38:43,440 Speaker 4: And that's what this bill did. It creates a work requirement. 732 00:38:43,800 --> 00:38:47,000 Speaker 4: President Clinton in the nineties with Well for Reform did 733 00:38:47,000 --> 00:38:49,480 Speaker 4: this and it worked beautifully. Edyone applause. It is a 734 00:38:49,560 --> 00:38:53,040 Speaker 4: huge success story. This time the president, our President Trump 735 00:38:53,120 --> 00:38:56,319 Speaker 4: does that. Everyone criticizes the village wrong. This was an 736 00:38:56,400 --> 00:38:59,360 Speaker 4: opportunity to give the American people who are trapped in 737 00:38:59,440 --> 00:39:03,480 Speaker 4: medicaid and the belief that they matter, that they have 738 00:39:03,960 --> 00:39:07,319 Speaker 4: autonomy on their life, they have agency, give them a 739 00:39:07,400 --> 00:39:10,160 Speaker 4: chance to get a job, to volunteer, to get educated, 740 00:39:10,200 --> 00:39:13,279 Speaker 4: to participate as God gave them the right to do. 741 00:39:13,520 --> 00:39:15,719 Speaker 4: We're all put on this plan to do something. And 742 00:39:15,800 --> 00:39:17,640 Speaker 4: if you're going to watch six point one hours of 743 00:39:17,640 --> 00:39:19,880 Speaker 4: television a day or just hang out, which is what 744 00:39:20,560 --> 00:39:22,920 Speaker 4: that's the number. By the way, for people who are 745 00:39:23,080 --> 00:39:26,200 Speaker 4: able by on medicaid or aren't working. That's not a life. 746 00:39:26,520 --> 00:39:28,600 Speaker 4: That's not what you're here for. And so I think 747 00:39:28,640 --> 00:39:33,000 Speaker 4: this will be judged very and wisely as a wonderful 748 00:39:33,040 --> 00:39:35,400 Speaker 4: contribution to getting America back on the street again. We've 749 00:39:35,400 --> 00:39:37,839 Speaker 4: got twice as many jobs in this country. Is people 750 00:39:37,880 --> 00:39:40,560 Speaker 4: willing to do them. Let's help people connect with the workforce. 751 00:39:40,760 --> 00:39:42,960 Speaker 4: This makes that easy, doctor Os. 752 00:39:43,000 --> 00:39:45,520 Speaker 1: I think one of the things that's incredibly frustrating to 753 00:39:45,560 --> 00:39:48,120 Speaker 1: so many people out there who spend so much money 754 00:39:48,160 --> 00:39:51,520 Speaker 1: on their healthcare is we pay way more and we 755 00:39:51,560 --> 00:39:54,480 Speaker 1: don't get the results that would suggest we should get 756 00:39:54,560 --> 00:39:56,680 Speaker 1: based on what we're paying. In other words, when you 757 00:39:56,719 --> 00:40:01,560 Speaker 1: look at life expectancy, our numbers are not rate. Why 758 00:40:01,600 --> 00:40:05,720 Speaker 1: are we getting gouged and other wealthy countries. I understand 759 00:40:05,719 --> 00:40:08,120 Speaker 1: why they don't charge as much in countries where people 760 00:40:08,200 --> 00:40:13,480 Speaker 1: are vastly inferior in wealth, But Europe pays, for instance, 761 00:40:13,640 --> 00:40:16,400 Speaker 1: way less than we do for many of the same drugs. 762 00:40:16,400 --> 00:40:20,080 Speaker 1: Certainly Canada and Mexico. People go across the border to 763 00:40:20,120 --> 00:40:22,640 Speaker 1: buy the same drugs for a fraction of the cost. 764 00:40:23,080 --> 00:40:24,680 Speaker 1: I think that's one of the things that gets people 765 00:40:24,719 --> 00:40:26,480 Speaker 1: the most fired up. I know you saw it when 766 00:40:26,520 --> 00:40:29,400 Speaker 1: you ran for Senate. I'm sure you still hear it now. 767 00:40:30,719 --> 00:40:33,319 Speaker 4: Well as always, what makes you so successful is your 768 00:40:33,360 --> 00:40:37,600 Speaker 4: timely questions. Within the hour, the White House announced a 769 00:40:37,840 --> 00:40:42,880 Speaker 4: most Favored Nation prescription price, a letter from the President 770 00:40:42,920 --> 00:40:45,680 Speaker 4: going out to all the major companies addressing exactly what 771 00:40:45,719 --> 00:40:49,640 Speaker 4: you just described, the gouging of the American people, and 772 00:40:49,840 --> 00:40:52,759 Speaker 4: the original executive order that some may remember for a 773 00:40:52,800 --> 00:40:56,560 Speaker 4: few months ago asked that this global freeloading stop. So 774 00:40:56,640 --> 00:40:59,080 Speaker 4: here's what the President is saying to all the manufacturers, 775 00:40:59,120 --> 00:41:00,759 Speaker 4: and it's our job to go out there and now 776 00:41:00,800 --> 00:41:03,719 Speaker 4: negotiate these prices. But he's saying, from now on, we 777 00:41:03,800 --> 00:41:06,800 Speaker 4: don't want brand prices in American costing three times the 778 00:41:06,800 --> 00:41:09,520 Speaker 4: exact same product in the same box, made the same 779 00:41:09,560 --> 00:41:12,440 Speaker 4: factory as it costs in Europe. And the metaphor for 780 00:41:12,600 --> 00:41:16,480 Speaker 4: me is the NATO deal. So with NATO, there's an 781 00:41:16,480 --> 00:41:19,600 Speaker 4: external threat, the President said. Because it's an external threat, 782 00:41:19,600 --> 00:41:21,200 Speaker 4: we all have to chip in. But we don't pay 783 00:41:21,200 --> 00:41:23,240 Speaker 4: the whole bill in America. You guys got to chip into. 784 00:41:23,600 --> 00:41:25,720 Speaker 4: That happened, as you know, with the exception of one country, 785 00:41:25,760 --> 00:41:28,000 Speaker 4: all the European countries now are paying their fair share, 786 00:41:28,520 --> 00:41:31,799 Speaker 4: he argues. As an internal threat, as well illness. Why 787 00:41:31,880 --> 00:41:33,839 Speaker 4: is it that America cuts the bill for one hundred 788 00:41:33,880 --> 00:41:37,160 Speaker 4: and thirty billion dollars of research and development in pharmaceutical 789 00:41:37,200 --> 00:41:39,680 Speaker 4: product and then on top of that doing all the homework, 790 00:41:39,840 --> 00:41:41,640 Speaker 4: we get the drugs out, then we pay most of 791 00:41:41,680 --> 00:41:45,160 Speaker 4: the of the money that makes farmer profits. Seventy percent 792 00:41:45,200 --> 00:41:47,920 Speaker 4: of farmer profits are made in this country. This is 793 00:41:47,960 --> 00:41:51,160 Speaker 4: not the right thing for the American people. Pharmaceutical industry 794 00:41:51,200 --> 00:41:53,520 Speaker 4: knows that they know this is coming, and the letter 795 00:41:53,760 --> 00:41:57,480 Speaker 4: just went out literally being mailed as we speak. And 796 00:41:57,600 --> 00:42:00,799 Speaker 4: our belief is that within several years we can get 797 00:42:00,800 --> 00:42:03,600 Speaker 4: most drugs, the vast majority of these drugs to be 798 00:42:03,680 --> 00:42:06,280 Speaker 4: most favored nation pricing. It's going to be a huge 799 00:42:06,920 --> 00:42:09,600 Speaker 4: asset to the American people, to governors trying to balance 800 00:42:09,640 --> 00:42:12,839 Speaker 4: their state budgets, but it's also the right thing to do. 801 00:42:12,960 --> 00:42:16,160 Speaker 4: It shows that America will carry its the right mode. 802 00:42:16,600 --> 00:42:18,360 Speaker 4: But don't put it on us to cure all the 803 00:42:18,400 --> 00:42:20,560 Speaker 4: cancer in the world. Chip in help us out a 804 00:42:20,560 --> 00:42:22,600 Speaker 4: little bit, just like with NATA, will do the same 805 00:42:22,600 --> 00:42:25,280 Speaker 4: thing with this most favored nation prescription drug pricing. 806 00:42:25,920 --> 00:42:29,080 Speaker 2: Doctor Oz, how do you foresee technology? We're in this 807 00:42:29,160 --> 00:42:35,319 Speaker 2: age of rapidly advancing capabilities with AI and robotics, and 808 00:42:35,760 --> 00:42:39,640 Speaker 2: a whole range of tools that are already doing pretty 809 00:42:39,640 --> 00:42:44,600 Speaker 2: marvelous things or showing marvelous possibility. How is technology going 810 00:42:44,640 --> 00:42:47,600 Speaker 2: to be leveraged under this Trump administration, which obviously you're 811 00:42:47,600 --> 00:42:50,320 Speaker 2: a part of it, on the health side, to improve 812 00:42:50,400 --> 00:42:53,640 Speaker 2: Americans health, to find cures to get us healthier. 813 00:42:56,360 --> 00:42:58,759 Speaker 4: The American people have been waiting too long. We've been 814 00:42:58,760 --> 00:43:02,280 Speaker 4: waiting for to get the right information in the doctor's office, 815 00:43:02,840 --> 00:43:04,840 Speaker 4: days and days when it should have been immediately delivered. 816 00:43:04,880 --> 00:43:05,560 Speaker 5: We've waited for. 817 00:43:05,560 --> 00:43:08,440 Speaker 4: The surprise bills from hospitals, to wait for access to 818 00:43:08,480 --> 00:43:10,759 Speaker 4: our medical directords just to see stuff that we paid for. 819 00:43:11,320 --> 00:43:13,799 Speaker 4: And we've been waiting for Washington to take action. The 820 00:43:13,880 --> 00:43:17,160 Speaker 4: commitments that the President made yesterday with all these companies 821 00:43:17,200 --> 00:43:19,799 Speaker 4: pledging puts an end to this waiting. Technology is going 822 00:43:19,840 --> 00:43:22,239 Speaker 4: to allow us to message you when you want to 823 00:43:22,280 --> 00:43:24,160 Speaker 4: hear it about things going on in your life. It's 824 00:43:24,160 --> 00:43:25,840 Speaker 4: going to allow doctors to look at you in the 825 00:43:25,840 --> 00:43:27,520 Speaker 4: eyes and talk to you instead of having a chart 826 00:43:27,560 --> 00:43:29,799 Speaker 4: the whole time, because they've got a code so they 827 00:43:29,800 --> 00:43:33,080 Speaker 4: can bill for the encounter. It's going to make it 828 00:43:33,200 --> 00:43:36,920 Speaker 4: much easier for us to fast track things like prior authorization, 829 00:43:37,040 --> 00:43:39,160 Speaker 4: where you're trying to see if an insurance company's going 830 00:43:39,160 --> 00:43:41,399 Speaker 4: to pay for something you thought you paid for. All 831 00:43:41,440 --> 00:43:44,279 Speaker 4: that's going to become automated much faster. But the real 832 00:43:44,360 --> 00:43:47,359 Speaker 4: benefit here, and this is a critical point, is we're 833 00:43:47,400 --> 00:43:49,360 Speaker 4: going to be able to cut the fraud, waste, and 834 00:43:49,400 --> 00:43:52,799 Speaker 4: abuse out of the system that's destroying it, maybe one 835 00:43:52,840 --> 00:43:56,160 Speaker 4: hundred billion dollars of administrative costs unnecessarily. You may have 836 00:43:56,239 --> 00:43:58,319 Speaker 4: read last month we with a Department of Justice, we 837 00:43:58,320 --> 00:44:02,160 Speaker 4: announced the fifty billion dollars down because we're at one 838 00:44:02,160 --> 00:44:04,800 Speaker 4: point eight trillion dollar entity. We're double the size of 839 00:44:04,840 --> 00:44:07,880 Speaker 4: the defense budget. And in order to get into our walls, 840 00:44:08,120 --> 00:44:11,080 Speaker 4: they are security walls. You can use the numbers that 841 00:44:11,160 --> 00:44:14,839 Speaker 4: all Medicare beneficiaries have. They're there, they're there, their their 842 00:44:14,880 --> 00:44:19,120 Speaker 4: membership number, and so foreign companies and countries. Literally the 843 00:44:19,200 --> 00:44:23,279 Speaker 4: fifteen billion was a multinational criminal organization that's believed, I 844 00:44:23,400 --> 00:44:25,960 Speaker 4: believe is based in Russia. I mean, these are massive 845 00:44:26,200 --> 00:44:29,239 Speaker 4: operations trying to take us down. Technology is going to 846 00:44:29,239 --> 00:44:32,040 Speaker 4: allow us to protect ourselves, but at its very core, 847 00:44:32,680 --> 00:44:34,759 Speaker 4: the goal is not just to keep people alive. It's 848 00:44:34,760 --> 00:44:36,680 Speaker 4: to get them be vital, to get them to flourish. 849 00:44:37,080 --> 00:44:40,080 Speaker 4: The value of of an American who's help enough to 850 00:44:40,120 --> 00:44:42,880 Speaker 4: work is much much greater than what it costs to 851 00:44:42,920 --> 00:44:45,560 Speaker 4: treat them. But we have to actually get at those 852 00:44:46,200 --> 00:44:49,680 Speaker 4: wonderful folks who are making mistakes about their lifestyle in 853 00:44:49,680 --> 00:44:53,879 Speaker 4: a timely fashion. And technology, especially AI will let us 854 00:44:53,920 --> 00:44:56,360 Speaker 4: talk to people in ways that we couldn't have before, 855 00:44:56,600 --> 00:44:59,400 Speaker 4: to literally baby sit them through a process that they 856 00:44:59,400 --> 00:45:02,319 Speaker 4: may be going through which a doctor just won't do 857 00:45:02,400 --> 00:45:04,360 Speaker 4: on their own just they don't have the time. And 858 00:45:04,400 --> 00:45:06,520 Speaker 4: it also allows us to get to rural America which 859 00:45:06,520 --> 00:45:09,239 Speaker 4: has been left behind, and let that part of the 860 00:45:09,239 --> 00:45:13,200 Speaker 4: country thrive. You should not have folks falling behind. Every 861 00:45:13,280 --> 00:45:15,720 Speaker 4: American ought to be cared for with the DIGNITATETD deserve. 862 00:45:15,880 --> 00:45:17,360 Speaker 4: It doesn't matter what gift go direct. 863 00:45:18,520 --> 00:45:20,600 Speaker 3: Doctor Oz, appreciate you being with us, sir. 864 00:45:21,480 --> 00:45:22,919 Speaker 4: God bless you, my friends. Stay well. 865 00:45:24,680 --> 00:45:26,839 Speaker 2: When you switch your cell phone service over to Pure Talk, 866 00:45:26,920 --> 00:45:30,240 Speaker 2: you're saving money every month while not sacrificing any quality 867 00:45:30,239 --> 00:45:32,440 Speaker 2: of service. Not to mention, you get the benefit of 868 00:45:32,480 --> 00:45:35,840 Speaker 2: great customer service from a US based customer service team. 869 00:45:35,840 --> 00:45:39,360 Speaker 2: Pure talks on the most dependable five G network in America, 870 00:45:39,440 --> 00:45:41,919 Speaker 2: and their customer service team is all based right here 871 00:45:41,960 --> 00:45:45,760 Speaker 2: in the USA. And get this, pure Talk only charges 872 00:45:45,800 --> 00:45:48,239 Speaker 2: twenty five dollars a month for unlimited talk, text and 873 00:45:48,320 --> 00:45:51,760 Speaker 2: five gigs of data on America's most dependable five G network. 874 00:45:51,920 --> 00:45:53,880 Speaker 2: Compare that to your current monthly cell phone bill and 875 00:45:53,920 --> 00:45:56,640 Speaker 2: calculate the savings You could save six hundred dollars or 876 00:45:56,640 --> 00:45:59,520 Speaker 2: more every year with a family plan, could be more 877 00:45:59,560 --> 00:46:03,080 Speaker 2: than a thousand dollars a year. With Puretalk's customer service team, 878 00:46:03,080 --> 00:46:05,920 Speaker 2: you can switch hassle free in as little as ten minutes. 879 00:46:06,200 --> 00:46:08,440 Speaker 2: You keep your phone and your number, so nothing changes 880 00:46:08,440 --> 00:46:11,399 Speaker 2: except the reduced size of that phone. Using your cell 881 00:46:11,440 --> 00:46:15,239 Speaker 2: phone dial pound two fifty and say the keywords Clay 882 00:46:15,280 --> 00:46:18,200 Speaker 2: and Buck to make the switch. That's pound two five zero. 883 00:46:18,440 --> 00:46:22,840 Speaker 2: Say Clay and Buck to start saving today. Puretalk Wireless 884 00:46:22,840 --> 00:46:26,319 Speaker 2: buy Americans for Americans news. 885 00:46:26,040 --> 00:46:30,239 Speaker 5: And politics, but also a little comic relief. Clay Travis 886 00:46:30,280 --> 00:46:34,040 Speaker 5: and Buck Sexton. Find them on the free iHeartRadio app 887 00:46:34,239 --> 00:46:36,279 Speaker 5: or wherever you get your podcasts. 888 00:46:36,480 --> 00:46:40,319 Speaker 1: Welcome back in Clay Travis Buck Sexton Show. Appreciate all 889 00:46:40,360 --> 00:46:42,719 Speaker 1: of you hanging out with us. We are joined now 890 00:46:42,800 --> 00:46:48,680 Speaker 1: by Melissa Holyoke, Commissioner of the United States Federal Trade Commission. 891 00:46:49,360 --> 00:46:53,239 Speaker 1: A lot going on in uh in that world as 892 00:46:53,280 --> 00:46:57,760 Speaker 1: we break down all of the different I would say, uh, 893 00:46:58,280 --> 00:47:00,960 Speaker 1: just insanity that seems to be going on a day 894 00:47:00,960 --> 00:47:05,160 Speaker 1: to day basis. A lot of different mergers underway, a 895 00:47:05,160 --> 00:47:08,319 Speaker 1: lot of different moving parts associated with the tariffs and 896 00:47:08,360 --> 00:47:09,040 Speaker 1: everything else. 897 00:47:09,200 --> 00:47:12,319 Speaker 3: You're new in the job. How has that been for 898 00:47:12,440 --> 00:47:13,120 Speaker 3: you so far? 899 00:47:14,920 --> 00:47:15,200 Speaker 4: Oh? 900 00:47:15,239 --> 00:47:17,720 Speaker 8: Well, thank you, thank you for having me on. I'm 901 00:47:17,760 --> 00:47:20,920 Speaker 8: super excited to be here. Thanks Clay. The job has 902 00:47:20,920 --> 00:47:24,520 Speaker 8: been wonderful, it's been amazing. We had a change in 903 00:47:24,560 --> 00:47:27,960 Speaker 8: administration in January, so it's nice to finally have a 904 00:47:28,000 --> 00:47:31,160 Speaker 8: positive agenda that we can implement. But like you said, 905 00:47:31,280 --> 00:47:35,040 Speaker 8: things are changing every day, lots of big things in 906 00:47:35,080 --> 00:47:37,640 Speaker 8: our world. I think what's interesting is we get a 907 00:47:37,640 --> 00:47:40,560 Speaker 8: lot of questions about tariffs, and I will get a 908 00:47:40,600 --> 00:47:43,480 Speaker 8: lot of questions about tariffs, but we don't even though 909 00:47:43,520 --> 00:47:46,719 Speaker 8: the word trade is in our name, we don't necessarily 910 00:47:46,760 --> 00:47:50,600 Speaker 8: do anything with tariffs other than see maybe some of 911 00:47:49,239 --> 00:47:54,000 Speaker 8: the consequences of that. So we don't negotiate those or 912 00:47:54,080 --> 00:47:57,000 Speaker 8: enforce those. So what we're looking at what the Federal 913 00:47:57,040 --> 00:48:01,520 Speaker 8: Trade Commission does is protect America consumers United States mostly 914 00:48:01,560 --> 00:48:04,560 Speaker 8: from fraud, theres and scammers, and like you said, from 915 00:48:04,640 --> 00:48:07,640 Speaker 8: anti competitive behavior. And we look at mergers in the 916 00:48:07,680 --> 00:48:09,839 Speaker 8: world and see what's happening with companies, and we want 917 00:48:09,840 --> 00:48:12,359 Speaker 8: to protect Americans from monopolists as well. 918 00:48:13,040 --> 00:48:14,360 Speaker 2: What are some of the thank you for being with 919 00:48:14,400 --> 00:48:18,120 Speaker 2: this Commissioner's buck, What are some of the primary frauds? 920 00:48:18,120 --> 00:48:21,040 Speaker 2: You know, one thing that we have a great sponsor 921 00:48:21,080 --> 00:48:23,640 Speaker 2: on the show that deals with identity theft. And one 922 00:48:23,640 --> 00:48:27,400 Speaker 2: thing that I've seen is just how sophisticated some of 923 00:48:27,440 --> 00:48:31,399 Speaker 2: these efforts are to do that. It's really it used 924 00:48:31,400 --> 00:48:33,160 Speaker 2: to be somebody would send you an email saying, you know, 925 00:48:33,280 --> 00:48:34,840 Speaker 2: I'll give you a million dollars if you give me 926 00:48:34,920 --> 00:48:38,080 Speaker 2: ten thousand, and unfortunately that would work far too often. 927 00:48:38,120 --> 00:48:40,759 Speaker 2: But it's a little bit, a little bit on the 928 00:48:41,239 --> 00:48:44,480 Speaker 2: obvious side. Now they're getting really good at pretending to 929 00:48:44,480 --> 00:48:46,040 Speaker 2: be from a bank or I mean, what are the 930 00:48:46,120 --> 00:48:49,600 Speaker 2: kind of scams or the kind of things the FTC 931 00:48:49,920 --> 00:48:52,240 Speaker 2: is focused in on policing these days. 932 00:48:53,640 --> 00:48:55,839 Speaker 8: That's such a great question, I mean, because that is 933 00:48:56,120 --> 00:48:57,920 Speaker 8: a majority of our work, and what we want to 934 00:48:57,920 --> 00:49:03,200 Speaker 8: focus on is just growing and growing lest It was 935 00:49:03,360 --> 00:49:06,160 Speaker 8: ten billion dollars a couple of years ago and now 936 00:49:06,160 --> 00:49:09,600 Speaker 8: it's grown twenty five percent over twelve billion, and it's 937 00:49:09,640 --> 00:49:11,920 Speaker 8: what we want to focus on every day. So, and 938 00:49:11,960 --> 00:49:15,280 Speaker 8: what we're seeing, like you said, is we're seeing lots 939 00:49:15,280 --> 00:49:19,200 Speaker 8: of sophisticated frauds and the use of different technologies. So 940 00:49:19,280 --> 00:49:22,799 Speaker 8: one of those examples is they use voice cloning technology. 941 00:49:23,280 --> 00:49:25,440 Speaker 8: So you'll have a grandma in the middle of the 942 00:49:25,520 --> 00:49:28,440 Speaker 8: night get a call from what sounds exactly like her 943 00:49:28,440 --> 00:49:32,040 Speaker 8: grandson saying I'm in jail, I need money, send this 944 00:49:32,040 --> 00:49:34,880 Speaker 8: to me here, and it sounds just like them. And 945 00:49:35,239 --> 00:49:40,280 Speaker 8: those are the kinds of really concerning types of fraud 946 00:49:40,400 --> 00:49:44,160 Speaker 8: where folks, everyone can would get you from it, not 947 00:49:44,280 --> 00:49:48,040 Speaker 8: just it does. It's a lot more sophisticated than some 948 00:49:48,080 --> 00:49:49,680 Speaker 8: of the things that we've seen in the past, and 949 00:49:49,719 --> 00:49:53,600 Speaker 8: we're trying to go out and educate consumers on some 950 00:49:53,680 --> 00:49:56,120 Speaker 8: of these these more sophisticated frauds. 951 00:49:56,360 --> 00:49:59,080 Speaker 2: What are the enforcement mechanisms, like what can you when 952 00:49:59,320 --> 00:50:01,799 Speaker 2: you find something that's going on. I mean, you're not 953 00:50:01,840 --> 00:50:04,960 Speaker 2: the FBI, right, so what what enforcement mechanisms does the 954 00:50:05,040 --> 00:50:07,680 Speaker 2: FTC have access to? And how does that process work 955 00:50:07,760 --> 00:50:09,520 Speaker 2: when you find the fraudsters. 956 00:50:09,000 --> 00:50:09,319 Speaker 3: Then what. 957 00:50:11,080 --> 00:50:13,360 Speaker 8: Great question. So what we do is a lot of 958 00:50:13,360 --> 00:50:16,360 Speaker 8: the times we're looking at trends of frauds. So we 959 00:50:16,480 --> 00:50:20,560 Speaker 8: have a really large database that we have that many 960 00:50:20,600 --> 00:50:23,400 Speaker 8: many states have access to, and we look at complaints 961 00:50:23,400 --> 00:50:25,920 Speaker 8: that are coming in. I think one thing that I 962 00:50:26,000 --> 00:50:28,160 Speaker 8: want to if I could get a message out, one 963 00:50:28,200 --> 00:50:30,200 Speaker 8: thing is to make sure to report the fraud. We 964 00:50:30,239 --> 00:50:32,880 Speaker 8: have a website that says that where you can report 965 00:50:32,920 --> 00:50:35,320 Speaker 8: the frauds and we take those complaints and we start 966 00:50:35,320 --> 00:50:38,960 Speaker 8: from there and able to in order to do like 967 00:50:39,000 --> 00:50:44,320 Speaker 8: you said, investigations we can. We will issue civil investigative demands. 968 00:50:44,520 --> 00:50:46,680 Speaker 8: If we think there's a criminal component to it, we 969 00:50:46,719 --> 00:50:49,040 Speaker 8: work with our criminal partners. We will go reach out 970 00:50:49,040 --> 00:50:53,440 Speaker 8: to the Department of Justice or others state partners, US 971 00:50:53,480 --> 00:50:57,439 Speaker 8: attorneys and districts across the country and work with them 972 00:50:57,640 --> 00:51:02,719 Speaker 8: if those are those of criminal components are applicable to. 973 00:51:04,200 --> 00:51:06,480 Speaker 2: So basically you can flag something for DOJ, and then 974 00:51:06,560 --> 00:51:08,680 Speaker 2: DJ can actually make it a criminal matter if that's 975 00:51:08,719 --> 00:51:09,600 Speaker 2: the kind of fraud you're. 976 00:51:09,520 --> 00:51:12,560 Speaker 8: Talking about exactly. But we don't have to stop just 977 00:51:12,600 --> 00:51:15,120 Speaker 8: because there might be a criminal component. A lot of 978 00:51:15,160 --> 00:51:17,480 Speaker 8: times we can move really fast in terms of freezing 979 00:51:17,560 --> 00:51:21,000 Speaker 8: assets and going in and making sure like to stop 980 00:51:21,000 --> 00:51:23,839 Speaker 8: the bleeding and basically have those assets available if it's 981 00:51:23,960 --> 00:51:26,680 Speaker 8: and when we can get some money back to consumers. 982 00:51:27,320 --> 00:51:29,520 Speaker 1: One of the biggest challenges I would imagine in the 983 00:51:29,560 --> 00:51:33,200 Speaker 1: merger space is technology and the fact that this thing 984 00:51:33,280 --> 00:51:36,680 Speaker 1: is moving so rapidly, whether it's AI or elsewhere, that 985 00:51:36,760 --> 00:51:40,800 Speaker 1: we typically think of monopoly power as something that leads 986 00:51:40,840 --> 00:51:44,799 Speaker 1: to higher prices. But in the universe that we're in now, 987 00:51:44,960 --> 00:51:48,239 Speaker 1: some of these huge tech companies are arguing that when 988 00:51:48,320 --> 00:51:51,480 Speaker 1: they are merging, when they are buying new assets, it's 989 00:51:51,520 --> 00:51:55,160 Speaker 1: actually leading to lower prices. How do you balance all 990 00:51:55,160 --> 00:51:59,240 Speaker 1: this out? Because the tech universe has definitely maybe upset 991 00:51:59,280 --> 00:52:02,799 Speaker 1: the Apple card of what monopolistic power truly looks like. 992 00:52:04,920 --> 00:52:07,759 Speaker 8: I think that's so important that we're actually analyzing what 993 00:52:07,800 --> 00:52:11,120 Speaker 8: the harms are. Like you said, we have mergers that 994 00:52:11,160 --> 00:52:13,759 Speaker 8: we look at. So many mergers that get filed and 995 00:52:13,800 --> 00:52:17,360 Speaker 8: we get notification of them, but in the vast majority 996 00:52:17,400 --> 00:52:20,439 Speaker 8: of them, like literally ninety eight percent of cases, there's 997 00:52:20,520 --> 00:52:23,840 Speaker 8: no real problems there in terms of the merger, and 998 00:52:23,880 --> 00:52:27,440 Speaker 8: in fact, a lot of mergers provide benefits for consumers, 999 00:52:27,640 --> 00:52:29,319 Speaker 8: and so what we want to do is make sure 1000 00:52:29,360 --> 00:52:31,680 Speaker 8: we're getting out of the way if there are our 1001 00:52:31,719 --> 00:52:34,160 Speaker 8: mergers out there that can really provide benefits, because the 1002 00:52:34,200 --> 00:52:36,759 Speaker 8: faster that they can move, the better and quicker that 1003 00:52:36,800 --> 00:52:39,759 Speaker 8: those benefits can go to consumers. And then in the 1004 00:52:39,800 --> 00:52:42,279 Speaker 8: smaller amount of cases, yes, we'll take a second look 1005 00:52:42,280 --> 00:52:44,760 Speaker 8: in those two percent of cases to see what's happening. 1006 00:52:45,040 --> 00:52:47,719 Speaker 8: But like you said, in these in tech and in 1007 00:52:47,760 --> 00:52:51,080 Speaker 8: big tech, these are extremely dynamic markets. Things are changing 1008 00:52:51,200 --> 00:52:54,560 Speaker 8: all the time, and we want to be analyzing them correctly. 1009 00:52:54,600 --> 00:52:59,800 Speaker 8: So we're not providing or we're not preventing any benefits 1010 00:52:59,800 --> 00:53:02,440 Speaker 8: that consumers could couldn't enjoy. 1011 00:53:03,840 --> 00:53:06,440 Speaker 3: Outstanding stuff. Well, look, we need you back. 1012 00:53:06,560 --> 00:53:08,520 Speaker 1: I know you got a lot to get on involved 1013 00:53:08,520 --> 00:53:11,440 Speaker 1: in because we've got what the big rail merger that 1014 00:53:11,480 --> 00:53:13,520 Speaker 1: they're talking about right now. I'm sure you're going to 1015 00:53:13,520 --> 00:53:16,040 Speaker 1: be diving into so many of these different cases, so 1016 00:53:16,040 --> 00:53:17,400 Speaker 1: many of these different decisions. 1017 00:53:17,800 --> 00:53:18,959 Speaker 3: Just keep us on speed dial. 1018 00:53:19,040 --> 00:53:21,040 Speaker 1: We want you on to be able to bring us 1019 00:53:21,120 --> 00:53:23,040 Speaker 1: up to speed on so many of these different issues 1020 00:53:23,080 --> 00:53:26,480 Speaker 1: going forward to congratulations on hopefully being able to get 1021 00:53:26,520 --> 00:53:28,360 Speaker 1: a lot more done now with the new administration. 1022 00:53:29,239 --> 00:53:32,160 Speaker 8: Well, I appreciate that so much. I love the work 1023 00:53:32,160 --> 00:53:35,320 Speaker 8: that I'm doing. It's it's very important. I will say 1024 00:53:35,960 --> 00:53:38,520 Speaker 8: one thing that is that if I can just leave 1025 00:53:38,719 --> 00:53:43,960 Speaker 8: with a few last moments thoughts related to the terriffs, 1026 00:53:44,960 --> 00:53:49,560 Speaker 8: I think there's just been this real reinvigoration of American manufacturing, 1027 00:53:49,680 --> 00:53:53,000 Speaker 8: American exceptionalism. And the one thing that the FTC has 1028 00:53:53,040 --> 00:53:55,680 Speaker 8: been focusing on in the month of July is the 1029 00:53:55,760 --> 00:54:00,400 Speaker 8: Made in the USA and label rule and oh are 1030 00:54:00,560 --> 00:54:05,120 Speaker 8: enforcement efforts there? And if folks are looking and they're 1031 00:54:05,160 --> 00:54:07,960 Speaker 8: seeing problems made in the USA labels that they just 1032 00:54:08,000 --> 00:54:11,719 Speaker 8: don't that are suspect to them, they can email us 1033 00:54:11,760 --> 00:54:14,879 Speaker 8: at MUSA at a FTC dot org. But we also 1034 00:54:14,920 --> 00:54:17,560 Speaker 8: work with businesses, So if businesses are trying to comply 1035 00:54:17,680 --> 00:54:19,759 Speaker 8: with the law and want to make sure that they 1036 00:54:19,840 --> 00:54:23,040 Speaker 8: are advertising truthfully and really working with consumers on that, 1037 00:54:23,160 --> 00:54:24,400 Speaker 8: they can also email. 1038 00:54:24,160 --> 00:54:26,880 Speaker 3: Us because lots of people plug for that. 1039 00:54:27,560 --> 00:54:30,640 Speaker 1: Yeah, lots of people sadly do try and lie about 1040 00:54:30,640 --> 00:54:33,840 Speaker 1: them Made in the USA. We've done reading and studies 1041 00:54:33,880 --> 00:54:35,319 Speaker 1: on that, so I'm glad that you can be on 1042 00:54:35,360 --> 00:54:38,240 Speaker 1: top of it, because obviously is something that many people 1043 00:54:38,320 --> 00:54:42,200 Speaker 1: want to be able to spend their money on Yes, absolutely, 1044 00:54:43,000 --> 00:54:47,720 Speaker 1: thank you so much. That's Melissa Hollyoak with the FTC. Look, 1045 00:54:48,160 --> 00:54:51,520 Speaker 1: we just had an awful story Midtown Manhattan. What happened? 1046 00:54:51,520 --> 00:54:55,640 Speaker 1: Their innocent lives lost. Tunnel to the Towers has been supporting 1047 00:54:55,640 --> 00:54:59,520 Speaker 1: America's greatest heroes and their families. In fact, they have 1048 00:54:59,760 --> 00:55:02,840 Speaker 1: all already pledged financial assistance to the family of the 1049 00:55:02,880 --> 00:55:05,160 Speaker 1: New York City Police officer who was killed in the 1050 00:55:05,200 --> 00:55:09,040 Speaker 1: line of duty at that Manhattan office building on Monday. 1051 00:55:09,360 --> 00:55:13,399 Speaker 1: They did it without fanfare, without the need for news conferences. 1052 00:55:13,440 --> 00:55:17,120 Speaker 1: In fact, they had no idea we're even talking about 1053 00:55:17,120 --> 00:55:21,080 Speaker 1: it right now. Producer Ali saw that this was happening 1054 00:55:21,120 --> 00:55:22,719 Speaker 1: and said, we want to shine a light on it 1055 00:55:22,760 --> 00:55:25,800 Speaker 1: because it's a great example of how quickly and rapidly 1056 00:55:25,880 --> 00:55:28,680 Speaker 1: they can respond to tragedy. Tunnell of the Towers all 1057 00:55:28,719 --> 00:55:31,920 Speaker 1: about supporting families when their loved ones have been lost 1058 00:55:32,000 --> 00:55:35,360 Speaker 1: in the line of duty, defending our freedoms, protecting our communities. 1059 00:55:35,680 --> 00:55:38,279 Speaker 1: Your donations will help pay off a mortgage so a 1060 00:55:38,320 --> 00:55:41,000 Speaker 1: family doesn't lose their home, and that's just one of 1061 00:55:41,160 --> 00:55:43,719 Speaker 1: hundreds of actions they will take. You can join us 1062 00:55:44,000 --> 00:55:46,279 Speaker 1: in donating eleven dollars a month to Tunnel of the 1063 00:55:46,320 --> 00:55:49,439 Speaker 1: Towers at t twot dot org. That's T the number 1064 00:55:49,520 --> 00:55:53,439 Speaker 1: two t dot org again, t towo t dot org. 1065 00:55:54,320 --> 00:55:56,839 Speaker 5: Want to begin to know when you're on to go? 1066 00:55:57,280 --> 00:56:01,280 Speaker 5: The Team forty seven podcast Trump highlights from the week 1067 00:56:01,560 --> 00:56:04,640 Speaker 5: Sundays at noon Eastern in the Clean Book podcast Feed. 1068 00:56:04,760 --> 00:56:07,879 Speaker 5: Find it on the iHeartRadio app, or wherever you get 1069 00:56:07,920 --> 00:56:08,799 Speaker 5: your podcasts.