1 00:00:04,360 --> 00:00:06,960 Speaker 1: Hey, guys, we are back on normally but showing normally. 2 00:00:06,960 --> 00:00:08,600 Speaker 1: It takes, but when the news gets weird. 3 00:00:08,680 --> 00:00:12,119 Speaker 2: I am Mary Eperham and I'm Carol Markowitz, Mary Catherine. 4 00:00:12,280 --> 00:00:14,160 Speaker 3: Have you mailed your holiday cards yet? 5 00:00:14,880 --> 00:00:16,120 Speaker 1: I'm not doing them? 6 00:00:16,320 --> 00:00:16,560 Speaker 2: No? 7 00:00:16,840 --> 00:00:19,760 Speaker 4: Are you really not doing them? I like your Christmas card. 8 00:00:19,840 --> 00:00:22,799 Speaker 1: Thank you, but I saved my Christmas cards. I save 9 00:00:22,880 --> 00:00:26,599 Speaker 1: my sanity by saving my Christmas cards for only when 10 00:00:26,600 --> 00:00:29,080 Speaker 1: I have a baby. At this point, so I think we're. 11 00:00:31,280 --> 00:00:33,080 Speaker 4: The people demand a Christmas card. 12 00:00:33,360 --> 00:00:35,599 Speaker 1: I used them as a birth announcement for two of 13 00:00:35,600 --> 00:00:37,840 Speaker 1: my kids and then I was like, oh, I got yeah, 14 00:00:37,920 --> 00:00:42,040 Speaker 1: so for now off the plate. But my second child 15 00:00:42,159 --> 00:00:45,080 Speaker 1: has asked if she could assist in a in a 16 00:00:45,200 --> 00:00:48,040 Speaker 1: Christmas card project, so we it may come back at 17 00:00:48,040 --> 00:00:49,160 Speaker 1: some point. 18 00:00:48,840 --> 00:00:51,600 Speaker 2: All right, okay, I am rooting for it personally, or like, 19 00:00:51,960 --> 00:00:55,000 Speaker 2: you know, you could just go rogue and like Halloween card. 20 00:00:55,240 --> 00:00:56,400 Speaker 1: You know that's true, you. 21 00:00:56,680 --> 00:00:58,200 Speaker 4: I feel like that would really work for you. 22 00:00:59,520 --> 00:01:02,840 Speaker 2: I send a card and I I haven't even do it. 23 00:01:02,920 --> 00:01:04,240 Speaker 4: I haven't even ordered them yet. 24 00:01:04,240 --> 00:01:06,920 Speaker 2: And I tweeted about this today, but like I had 25 00:01:07,120 --> 00:01:10,679 Speaker 2: two waiting for me Monday after Thanksgiving in my mailbox 26 00:01:10,760 --> 00:01:14,160 Speaker 2: and it was from Mary Chistain and Nikki Neely, and 27 00:01:14,200 --> 00:01:16,399 Speaker 2: I was like, you guys are a little two type 28 00:01:16,440 --> 00:01:18,640 Speaker 2: a for me to have it all together like this. 29 00:01:18,720 --> 00:01:20,600 Speaker 2: And I was like, I'm gonna ask Mary Catherine. I'm 30 00:01:20,600 --> 00:01:22,520 Speaker 2: sure she hasn't ordered hers either yet. 31 00:01:22,800 --> 00:01:23,119 Speaker 4: Oh. 32 00:01:23,400 --> 00:01:25,920 Speaker 1: Even when I did them every year, they arrived on 33 00:01:26,080 --> 00:01:30,759 Speaker 1: like the teenth, and I would just not genuinely no, 34 00:01:31,120 --> 00:01:33,759 Speaker 1: just try to get them there by Christmas. 35 00:01:34,080 --> 00:01:36,760 Speaker 4: I think it's they're there by New Years. It's a win. 36 00:01:37,360 --> 00:01:39,240 Speaker 1: Yeah, that's what I say. 37 00:01:39,600 --> 00:01:42,200 Speaker 4: All right, let's get into the news. We you know, 38 00:01:42,600 --> 00:01:43,639 Speaker 4: talked about some. 39 00:01:43,520 --> 00:01:46,760 Speaker 2: Stuff in the last episode, and we just want to 40 00:01:46,840 --> 00:01:49,840 Speaker 2: follow up on on that news story that we discussed, 41 00:01:49,920 --> 00:01:55,760 Speaker 2: the Pete Hegseeth double tap second strike Venezuelan drug boat story. 42 00:01:56,560 --> 00:01:59,640 Speaker 2: So when we last left you, the Washington Post had 43 00:02:00,760 --> 00:02:04,880 Speaker 2: had an article called Hegseth order on first Caribbean boat 44 00:02:04,920 --> 00:02:10,839 Speaker 2: strike official say kill them all. And the story is 45 00:02:10,960 --> 00:02:14,519 Speaker 2: that Hegseth said kill them all, and apparently a commander 46 00:02:14,639 --> 00:02:17,880 Speaker 2: took that to mean, even when they're clinging to the 47 00:02:17,880 --> 00:02:20,960 Speaker 2: boat survivors of the first strike, you should take them 48 00:02:21,000 --> 00:02:21,880 Speaker 2: out on the second strike. 49 00:02:23,400 --> 00:02:26,560 Speaker 3: The New York Times of all outlets which was really. 50 00:02:26,440 --> 00:02:30,840 Speaker 2: Surprising, had sort of a defense of Hegseth about this 51 00:02:31,080 --> 00:02:35,440 Speaker 2: and said he never said anything like that. Of course, 52 00:02:35,600 --> 00:02:39,800 Speaker 2: both stories are anonymously sourced. Everything should be taken with 53 00:02:39,840 --> 00:02:44,040 Speaker 2: a grain of salt. I have a hard time believing 54 00:02:44,080 --> 00:02:47,639 Speaker 2: anything with this much anonymous sourcing in it, so the 55 00:02:47,680 --> 00:02:50,400 Speaker 2: New York Times Rights. According to five US officials who 56 00:02:50,440 --> 00:02:53,040 Speaker 2: spoke separately and on the condition of anonymity to discuss 57 00:02:53,080 --> 00:02:56,160 Speaker 2: the sensitive matter there's under investigation, mister Hegseth, the head 58 00:02:56,160 --> 00:02:59,000 Speaker 2: of the September second attack, ordered a strike that would 59 00:02:59,040 --> 00:03:01,040 Speaker 2: kill the people on the boat and destroy the vessel 60 00:03:01,120 --> 00:03:04,680 Speaker 2: and its purported cargo of drugs. But each official said 61 00:03:04,720 --> 00:03:08,160 Speaker 2: mister Hegseth's directive did not specifically address what should happen 62 00:03:08,520 --> 00:03:10,880 Speaker 2: if a first missile turned out to not fully accomplish 63 00:03:10,960 --> 00:03:13,680 Speaker 2: all those things, and the official said his order was 64 00:03:13,720 --> 00:03:16,519 Speaker 2: not a response to surveillance footage showing that at least 65 00:03:16,520 --> 00:03:20,000 Speaker 2: two people on the boat survived the first blast. Now 66 00:03:20,720 --> 00:03:23,280 Speaker 2: that's interesting because that's not how I read the Washington 67 00:03:23,560 --> 00:03:27,040 Speaker 2: Post story at all, And now rereading it with this information, 68 00:03:27,720 --> 00:03:31,160 Speaker 2: I could see where the Washington Post story was super 69 00:03:31,280 --> 00:03:35,360 Speaker 2: vague and didn't really say whether heg Seth said kill 70 00:03:35,400 --> 00:03:37,480 Speaker 2: them all before the strike began, which is how I 71 00:03:37,600 --> 00:03:40,880 Speaker 2: understood it, or whether he said it mid strike or 72 00:03:40,880 --> 00:03:43,040 Speaker 2: after the first strike, which is how a lot of 73 00:03:43,160 --> 00:03:44,480 Speaker 2: other people understood it. 74 00:03:44,840 --> 00:03:47,600 Speaker 3: I have to imagine that's by design. Personally, What do 75 00:03:47,640 --> 00:03:48,000 Speaker 3: you think? 76 00:03:48,480 --> 00:03:51,440 Speaker 1: Well, a couple things. My smart friend Tom Bevan of 77 00:03:51,480 --> 00:03:54,800 Speaker 1: Real Clear Politics noted that the New York Times story 78 00:03:54,840 --> 00:03:58,320 Speaker 1: has five sources. The Washington Post had two, so we 79 00:03:58,400 --> 00:04:01,360 Speaker 1: do have more people on this. I think, look likely 80 00:04:01,640 --> 00:04:04,160 Speaker 1: there's a version of this story that's between Washington Posts, 81 00:04:04,160 --> 00:04:07,760 Speaker 1: New York Times, and Pete Hegseth's version. But there was 82 00:04:07,800 --> 00:04:10,280 Speaker 1: the initial response from the Pentagon that was like this 83 00:04:10,320 --> 00:04:12,960 Speaker 1: is all fake news basically, and then there was like, 84 00:04:13,160 --> 00:04:15,400 Speaker 1: oh wait, no, we did hit the vote twice. 85 00:04:15,440 --> 00:04:15,680 Speaker 4: Now. 86 00:04:16,120 --> 00:04:19,560 Speaker 1: I would like the legal ramifications of the narco terrorism 87 00:04:20,080 --> 00:04:23,440 Speaker 1: attacks to be addressed in an adult manner. In general, 88 00:04:24,320 --> 00:04:26,640 Speaker 1: we are dealing with Congress, so like that's not going 89 00:04:26,680 --> 00:04:28,840 Speaker 1: to happen. They're going to call for hearings and then they're 90 00:04:28,760 --> 00:04:30,440 Speaker 1: just going to give a bunch of lectures. But I 91 00:04:30,480 --> 00:04:33,160 Speaker 1: wish they would actually engage in this, and I want 92 00:04:33,279 --> 00:04:35,559 Speaker 1: the administration to engage it and say this is legal 93 00:04:35,600 --> 00:04:38,360 Speaker 1: for these reasons. This is why we're undertaking it. This 94 00:04:38,440 --> 00:04:40,760 Speaker 1: is why this wasn't a violation. Right, Yeah, that's better 95 00:04:40,800 --> 00:04:43,320 Speaker 1: than meming it on x. We got a little closer 96 00:04:43,360 --> 00:04:46,640 Speaker 1: to that. Here's a little bit of Hegseeth speaking to 97 00:04:46,839 --> 00:04:50,400 Speaker 1: Trump at the and to the press at the Cabinet 98 00:04:50,400 --> 00:04:51,080 Speaker 1: meeting this week. 99 00:04:51,320 --> 00:04:54,000 Speaker 5: The thing was on fire. I was exploded in fire 100 00:04:54,080 --> 00:04:56,000 Speaker 5: or smoke. You can't see any you got digital there. 101 00:04:56,320 --> 00:04:58,240 Speaker 5: This is called the fog of war. This is what 102 00:04:58,400 --> 00:05:01,720 Speaker 5: you and the press understand. You sit in your air 103 00:05:01,720 --> 00:05:04,640 Speaker 5: conditioned offices, you're up on Capitol Hill, and you nitpick, 104 00:05:04,680 --> 00:05:07,960 Speaker 5: and you plant fake stories in the Washington Post about 105 00:05:08,040 --> 00:05:11,920 Speaker 5: kill everybody, phrases on anonymous sources, not based in anything, 106 00:05:12,400 --> 00:05:14,640 Speaker 5: not based in any truth at all. And then you 107 00:05:14,680 --> 00:05:18,400 Speaker 5: want to throw up really irresponsible terms about American heroes, 108 00:05:18,800 --> 00:05:21,240 Speaker 5: about the judgment that they made. I wrote a whole 109 00:05:21,240 --> 00:05:23,919 Speaker 5: book on this topic. Because of what politicians and the 110 00:05:23,920 --> 00:05:28,680 Speaker 5: press does to warfighters. President Trump has empowered commanders, commanders 111 00:05:28,720 --> 00:05:31,479 Speaker 5: to do what is necessary, which is dark and difficult 112 00:05:31,520 --> 00:05:33,400 Speaker 5: things in the dead of night on behalf of the 113 00:05:33,440 --> 00:05:36,400 Speaker 5: American people. We support them, and we will stop the 114 00:05:36,440 --> 00:05:37,719 Speaker 5: poisoning of the American people. 115 00:05:38,400 --> 00:05:41,920 Speaker 2: Donald Trump's face as Pete Hegseth is criticizing the press 116 00:05:42,040 --> 00:05:42,800 Speaker 2: is so perfect. 117 00:05:42,839 --> 00:05:44,119 Speaker 4: He's just like, that's my book. 118 00:05:44,800 --> 00:05:48,359 Speaker 1: Well, and like they seemed very comfortable together here. I 119 00:05:48,360 --> 00:05:51,839 Speaker 1: think people when they saw the meeting, we're looking for clues, 120 00:05:52,080 --> 00:05:54,560 Speaker 1: is like, is the White House upset with Hegseth And 121 00:05:54,600 --> 00:05:56,160 Speaker 1: it didn't look like it in this moment. But there 122 00:05:56,200 --> 00:05:59,240 Speaker 1: is an interesting thing going on here where Trump is 123 00:05:59,279 --> 00:06:02,960 Speaker 1: saying they're basically sort of both disavowing somebody while trying 124 00:06:02,960 --> 00:06:06,120 Speaker 1: to sound like they're not so. Trump is like, oh yeah, yeah, no, 125 00:06:06,279 --> 00:06:08,200 Speaker 1: he sits right next to me. The only thing I 126 00:06:08,200 --> 00:06:09,880 Speaker 1: know about this is from him, Like he just gives 127 00:06:09,920 --> 00:06:11,360 Speaker 1: me the information. I totally trust him. 128 00:06:11,440 --> 00:06:11,640 Speaker 4: Yeah. 129 00:06:11,720 --> 00:06:14,560 Speaker 1: HeiG Seth is like, this admiral is great. He was 130 00:06:14,560 --> 00:06:16,359 Speaker 1: in charge of all of this. I wasn't even in 131 00:06:16,400 --> 00:06:18,479 Speaker 1: the room. But he's awesome and we trust him. And 132 00:06:18,480 --> 00:06:20,719 Speaker 1: I'm like, okay, well, there is a thing. We're empowering 133 00:06:21,480 --> 00:06:23,560 Speaker 1: people to make their own decisions is important. But a 134 00:06:23,600 --> 00:06:27,200 Speaker 1: little bit You're like, I wasn't there. This was on him. Yeah, 135 00:06:27,200 --> 00:06:29,679 Speaker 1: while you're also saying he's amazing, Like there's a weird 136 00:06:29,760 --> 00:06:30,600 Speaker 1: dance going on. 137 00:06:30,520 --> 00:06:34,600 Speaker 3: Here, right, Yeah, it's yeah. 138 00:06:34,680 --> 00:06:36,960 Speaker 2: Look, I think that the people who are hoping that 139 00:06:37,000 --> 00:06:39,400 Speaker 2: Trump is gonna throw hag Seth under the bus here 140 00:06:39,760 --> 00:06:43,520 Speaker 2: are just it's folly because it's not going to happen. 141 00:06:43,960 --> 00:06:45,640 Speaker 4: I don't see Trump saying. 142 00:06:45,440 --> 00:06:48,960 Speaker 2: Oh, we were too vicious here, and therefore you're going 143 00:06:49,000 --> 00:06:50,920 Speaker 2: to have to be fired or have to resign. 144 00:06:51,080 --> 00:06:52,760 Speaker 3: I just don't don't think any of that's happening. 145 00:06:53,720 --> 00:06:55,599 Speaker 4: Look, your point is a good one that. 146 00:06:55,520 --> 00:06:59,000 Speaker 3: They should be clear about the legal ramifications of all 147 00:06:59,040 --> 00:07:00,839 Speaker 3: of this. It's look, I'm not a lawyer. 148 00:07:01,200 --> 00:07:04,080 Speaker 2: The people that I follow that our lawyers feel pretty 149 00:07:04,080 --> 00:07:07,800 Speaker 2: comfortable that these strikes are legal. But if the administration 150 00:07:08,000 --> 00:07:10,640 Speaker 2: could give some more clarity on that, I think that 151 00:07:10,680 --> 00:07:11,680 Speaker 2: would be a good thing. 152 00:07:12,040 --> 00:07:12,840 Speaker 3: All around the. 153 00:07:12,840 --> 00:07:17,679 Speaker 4: New York one watching, they'll never be satisfied. It's not like, yeah, okay, 154 00:07:17,720 --> 00:07:20,080 Speaker 4: you guys say that it's legal. That's cool, it's legal. 155 00:07:20,400 --> 00:07:20,760 Speaker 1: There. 156 00:07:20,840 --> 00:07:21,560 Speaker 3: I gonna say that. 157 00:07:22,120 --> 00:07:24,160 Speaker 1: A couple of things. One, where were the Washington Posts 158 00:07:24,160 --> 00:07:26,520 Speaker 1: in New York Times when Biden blew up a whole 159 00:07:26,560 --> 00:07:31,080 Speaker 1: Afghan family because he was smarting from his terrible Afghanistan withdrawal? 160 00:07:31,240 --> 00:07:35,160 Speaker 1: Those things should have been you know, hearing worthy as well. 161 00:07:35,280 --> 00:07:37,960 Speaker 1: People should have been held accountable for those things. So 162 00:07:37,960 --> 00:07:40,720 Speaker 1: I understand people getting upset. I have no illusions that 163 00:07:40,800 --> 00:07:43,680 Speaker 1: I'm like a normal person for having this concern, Like 164 00:07:43,840 --> 00:07:45,800 Speaker 1: a lot of normal people are like, I don't know, 165 00:07:46,000 --> 00:07:48,840 Speaker 1: they seem like they're right drug drug dealers on a boat. 166 00:07:48,840 --> 00:07:51,320 Speaker 1: That seems fine with me. It's inter national waters. So 167 00:07:51,640 --> 00:07:53,720 Speaker 1: I don't think that I am indicative. 168 00:07:54,240 --> 00:07:57,760 Speaker 2: Right. Look, you know also Congressman Rand Paul, who has 169 00:07:57,800 --> 00:08:00,640 Speaker 2: clashed with the president a lot, and is you know, 170 00:08:00,720 --> 00:08:05,160 Speaker 2: libertarian more libertarian member of Congress. He tweeted Coast Guard 171 00:08:05,200 --> 00:08:07,520 Speaker 2: records show that prior to the reign of blow them 172 00:08:07,520 --> 00:08:11,200 Speaker 2: to Smithereens quote unquote, twenty one percent of boats stopped 173 00:08:11,200 --> 00:08:13,920 Speaker 2: off the coast of Venezuela possessed no drugs. 174 00:08:14,320 --> 00:08:15,640 Speaker 4: I don't know how. 175 00:08:15,320 --> 00:08:18,920 Speaker 2: He tweets this as some sort of criticism of the strikes. 176 00:08:18,960 --> 00:08:21,400 Speaker 2: That means eighty percent of the boats have drugs. 177 00:08:21,680 --> 00:08:24,720 Speaker 1: Well, that's because if one hundred percent of the people 178 00:08:25,240 --> 00:08:28,080 Speaker 1: you target you're killing, twenty percent. 179 00:08:27,760 --> 00:08:30,440 Speaker 2: Of them might not have had any drugs, right, That's 180 00:08:30,640 --> 00:08:33,240 Speaker 2: I mean, yeah, but they're not targeting one hundred percent 181 00:08:33,280 --> 00:08:36,240 Speaker 2: of the boats, right, So that's where that's where he 182 00:08:36,320 --> 00:08:38,120 Speaker 2: loses me and I. 183 00:08:38,040 --> 00:08:39,920 Speaker 4: Understand that I'm on the other side of that one. 184 00:08:39,960 --> 00:08:42,640 Speaker 1: If you're accidentally killing twenty one percent who are innocent, 185 00:08:42,720 --> 00:08:44,040 Speaker 1: that's going to be a problem, right, But. 186 00:08:44,000 --> 00:08:46,000 Speaker 3: We don't know that they're killing twenty one percent. 187 00:08:46,240 --> 00:08:48,199 Speaker 2: I didn't take that to mean that we're killing twenty 188 00:08:48,200 --> 00:08:49,760 Speaker 2: one percent at all. I took that to mean the 189 00:08:50,040 --> 00:08:51,640 Speaker 2: great majority of boats. 190 00:08:51,320 --> 00:08:53,319 Speaker 3: Because we're not just trying all the boats that are 191 00:08:53,360 --> 00:08:56,480 Speaker 3: that are in that area. It's a very targeted attacks. 192 00:08:56,679 --> 00:08:59,199 Speaker 1: Now, this is true. And another point on your side, 193 00:08:59,400 --> 00:09:01,720 Speaker 1: which is the Rubio went up and gave a briefing 194 00:09:02,280 --> 00:09:05,040 Speaker 1: about the behind the scenes stuff, which is where you 195 00:09:05,040 --> 00:09:09,480 Speaker 1: can present evidence that you can't present in public ostensibly, 196 00:09:09,880 --> 00:09:12,520 Speaker 1: and there was quite a bit less complaining after he 197 00:09:12,559 --> 00:09:15,280 Speaker 1: went and gave that briefing, which is indicates that what 198 00:09:15,280 --> 00:09:18,760 Speaker 1: you're saying that this is very targeted and ameliorates those concerns. 199 00:09:18,840 --> 00:09:21,520 Speaker 2: Yes, obviously, if we were destroying all the boats in 200 00:09:21,559 --> 00:09:24,000 Speaker 2: the region and twenty percent of them wearess in people, 201 00:09:24,120 --> 00:09:26,200 Speaker 2: that would be a problem. But that's not how I 202 00:09:26,240 --> 00:09:28,559 Speaker 2: read that. I read that as of all the boats, 203 00:09:28,600 --> 00:09:31,040 Speaker 2: eighty percent or carrying drugs and that's quite a lot. 204 00:09:31,280 --> 00:09:33,600 Speaker 1: Another note just from the cabinet meeting, because it's fun 205 00:09:33,640 --> 00:09:36,720 Speaker 1: to actually listen to the nitty gritty of these things 206 00:09:37,240 --> 00:09:39,520 Speaker 1: beyond the sexier story, which is this one in the 207 00:09:39,559 --> 00:09:43,719 Speaker 1: politics of the hegsets Trump relationship. Doug Collins at the 208 00:09:43,800 --> 00:09:48,160 Speaker 1: VA reported that they have cut the backlog, which is 209 00:09:48,320 --> 00:09:52,640 Speaker 1: famously gigantic at the VA for treating veterans, by fifty 210 00:09:52,640 --> 00:09:55,320 Speaker 1: seven percent in a year, and that is with a 211 00:09:55,400 --> 00:09:58,040 Speaker 1: reduced workforce. Now, I'll shave off a little bit of 212 00:09:58,120 --> 00:10:00,160 Speaker 1: that because the government always gives itself more credit than 213 00:10:00,160 --> 00:10:02,600 Speaker 1: it deserves. But like, even if you take it down 214 00:10:02,640 --> 00:10:06,960 Speaker 1: ten percent, Yeah, that is a huge accomplishment. So appreciate 215 00:10:07,040 --> 00:10:10,040 Speaker 1: that that he's been working on that in concert with 216 00:10:10,520 --> 00:10:13,960 Speaker 1: heg Seth in many ways because the VA and the 217 00:10:14,000 --> 00:10:17,800 Speaker 1: War Department now work together. But that was a cool 218 00:10:17,840 --> 00:10:18,320 Speaker 1: thing to hear. 219 00:10:18,559 --> 00:10:19,120 Speaker 4: Yeah, all right. 220 00:10:19,160 --> 00:10:21,920 Speaker 2: The other story that we covered earlier in the week 221 00:10:22,400 --> 00:10:26,560 Speaker 2: was the special election happening in Tennessee. Matt Vennepps versus 222 00:10:26,800 --> 00:10:31,400 Speaker 2: Aten Ben and Ben had made a lot of noise 223 00:10:31,559 --> 00:10:34,720 Speaker 2: and people thought that the Democrat might win this seat. 224 00:10:34,880 --> 00:10:39,600 Speaker 2: Matt Vanepps, the Republican did end up winning rights Roger L. Simon, 225 00:10:39,640 --> 00:10:42,800 Speaker 2: who lives in Tennessee. The possibility that Ben would win 226 00:10:42,800 --> 00:10:45,000 Speaker 2: in a district that Donald Trump won by twenty two 227 00:10:45,040 --> 00:10:47,800 Speaker 2: points in twenty twenty four had Democrats and all the 228 00:10:47,840 --> 00:10:51,760 Speaker 2: ships in their legacy media ce salivating. Would they be 229 00:10:51,800 --> 00:10:54,199 Speaker 2: going for a third pick up after New Jersey and Virginia, 230 00:10:54,280 --> 00:10:57,280 Speaker 2: but this time in a certifiably red state. Better yet, 231 00:10:57,320 --> 00:11:01,080 Speaker 2: Miss Ben was a progressives progressive already dubbed Tennessee's AOC. 232 00:11:01,600 --> 00:11:04,600 Speaker 2: This could be a national trend. Of course, VENEPS ended 233 00:11:04,679 --> 00:11:07,880 Speaker 2: up winning by a relatively comfortable nine percent. 234 00:11:09,200 --> 00:11:11,120 Speaker 4: Is it a sign? Is it a sign of anything? 235 00:11:11,200 --> 00:11:13,160 Speaker 3: Is every election supposed to be a sign? 236 00:11:14,679 --> 00:11:17,839 Speaker 1: Look, you can always overread special elections because they are 237 00:11:17,880 --> 00:11:20,720 Speaker 1: sort of weird. But there is a special election trend, 238 00:11:21,040 --> 00:11:24,360 Speaker 1: and the special election trend shows over about five different 239 00:11:24,720 --> 00:11:30,560 Speaker 1: special elections that Democrats are outperforming Kamala's numbers by thirteen 240 00:11:30,640 --> 00:11:31,800 Speaker 1: to eighteen percent. 241 00:11:32,640 --> 00:11:34,400 Speaker 3: So Kamala so like. 242 00:11:34,760 --> 00:11:37,360 Speaker 1: One it says that Kamala is bad. Two it says 243 00:11:37,400 --> 00:11:39,560 Speaker 1: that there might be a real environmental problem here for 244 00:11:39,640 --> 00:11:42,520 Speaker 1: Republicans who are not responding to something that the voters 245 00:11:42,559 --> 00:11:45,000 Speaker 1: need to hear. Three it says that the left is 246 00:11:45,120 --> 00:11:49,280 Speaker 1: very fired up, and I think Bain probably got a 247 00:11:49,320 --> 00:11:52,800 Speaker 1: little bit. I don't know whether her leftism worked against 248 00:11:52,800 --> 00:11:55,720 Speaker 1: her or for her in this red district, because on 249 00:11:55,720 --> 00:11:59,360 Speaker 1: one hand, you rile up a bunch of lefties and 250 00:11:59,400 --> 00:12:02,040 Speaker 1: get them out to vote in a special election, which 251 00:12:02,080 --> 00:12:06,320 Speaker 1: is weird and generally low turnout, although the turnout numbers 252 00:12:06,360 --> 00:12:09,200 Speaker 1: are really close to twenty twenty two for this special election, 253 00:12:10,200 --> 00:12:12,400 Speaker 1: so it wasn't that low turnout here. What I think 254 00:12:12,480 --> 00:12:15,440 Speaker 1: is probably good for Republicans is that lefties are going 255 00:12:15,520 --> 00:12:17,680 Speaker 1: to be like, we just needed to be more left 256 00:12:17,720 --> 00:12:20,239 Speaker 1: than afton bag, and then they'll start recruiting. 257 00:12:20,800 --> 00:12:25,120 Speaker 2: Yeah, Tennessee's AOC. I'm not sure about that. That's really 258 00:12:25,120 --> 00:12:27,960 Speaker 2: gonna fly anywhere, not even in Tennessee. 259 00:12:28,200 --> 00:12:32,240 Speaker 1: So I liked that at the very end. Remember she 260 00:12:32,280 --> 00:12:34,920 Speaker 1: had she had a famous viral clip in her OPO 261 00:12:35,360 --> 00:12:39,439 Speaker 1: about hating Nashville and hating country music, and then in 262 00:12:39,480 --> 00:12:43,280 Speaker 1: her concession speech she shows up in like a newdi suit, 263 00:12:43,360 --> 00:12:47,760 Speaker 1: like a Rhyanstone grand Ole Opry suit with like big 264 00:12:47,800 --> 00:12:50,240 Speaker 1: padded shoulders and done up like a country star. And 265 00:12:50,280 --> 00:12:52,600 Speaker 1: I was like, too little, too late, girl, you should 266 00:12:52,640 --> 00:12:53,480 Speaker 1: have done this earlier. 267 00:12:54,240 --> 00:12:56,479 Speaker 4: Yeah, I hate country music in Nashville. 268 00:12:56,679 --> 00:12:59,840 Speaker 1: I mean not a great quote, not a great right. 269 00:13:00,040 --> 00:13:02,880 Speaker 2: And Scott Jennings pointed out on CNN that she also 270 00:13:02,960 --> 00:13:06,000 Speaker 2: didn't walk back any of her previous comments, like, I'll 271 00:13:06,200 --> 00:13:09,800 Speaker 2: this has become this thing where when a Democrat says 272 00:13:09,840 --> 00:13:12,920 Speaker 2: something before they run for office, or maybe when they 273 00:13:12,920 --> 00:13:16,640 Speaker 2: were in a different office, it's no longer admissible because 274 00:13:16,640 --> 00:13:19,080 Speaker 2: they don't run on it in this campaign. But if 275 00:13:19,120 --> 00:13:21,240 Speaker 2: you're saying you want to defund the police, you know, 276 00:13:21,320 --> 00:13:25,000 Speaker 2: four years ago as a private citizen, that still counts. 277 00:13:25,120 --> 00:13:26,920 Speaker 2: Like the idea that like, oh you said something as 278 00:13:26,960 --> 00:13:28,800 Speaker 2: a private citizen, but you're not saying it as a 279 00:13:28,920 --> 00:13:32,880 Speaker 2: as a running of candidate, that nobody cares. 280 00:13:32,880 --> 00:13:34,000 Speaker 4: It's the same thing. 281 00:13:34,160 --> 00:13:38,280 Speaker 2: So yeah, she was a far lefty and Tennessee said no, 282 00:13:38,440 --> 00:13:39,200 Speaker 2: thank you to that. 283 00:13:39,520 --> 00:13:43,719 Speaker 1: So but I would say Republicans just beware, man. The 284 00:13:44,559 --> 00:13:47,839 Speaker 1: trend here and the swings don't look great. No for 285 00:13:48,000 --> 00:13:48,640 Speaker 1: the midterms. 286 00:13:48,880 --> 00:13:53,800 Speaker 2: Yeah, yeah, Republicans should maybe focus on that a little 287 00:13:53,800 --> 00:13:57,560 Speaker 2: bit more. We'll be watching because that's what we do here. 288 00:13:57,840 --> 00:13:59,680 Speaker 4: So we'll be right. 289 00:13:59,559 --> 00:14:04,360 Speaker 2: Back with more on normally and the mRNA vaccine, was 290 00:14:04,520 --> 00:14:05,359 Speaker 2: it necessary? 291 00:14:05,400 --> 00:14:08,440 Speaker 3: For children. Yes, we're still mad Bro, be right back. 292 00:14:11,640 --> 00:14:15,200 Speaker 1: Okay, we were back on normally with some news that 293 00:14:15,280 --> 00:14:19,160 Speaker 1: we are still mad about Bro. Really for real. This 294 00:14:19,240 --> 00:14:22,080 Speaker 1: is over the last weekend of twenty of November and 295 00:14:22,120 --> 00:14:25,600 Speaker 1: twenty twenty five a memo circulated through the Federal Food 296 00:14:25,600 --> 00:14:30,000 Speaker 1: and Drug Administration that outlined that ven A Prisod, who 297 00:14:30,080 --> 00:14:32,600 Speaker 1: of whom we are a fan, had ordered that they 298 00:14:32,640 --> 00:14:37,440 Speaker 1: go through the vaccine Adverse Reactions database and look at 299 00:14:37,480 --> 00:14:43,200 Speaker 1: deaths possibly associated among children with administration of the vaccine. 300 00:14:43,240 --> 00:14:46,280 Speaker 1: And they did this because at one point another doctor 301 00:14:46,320 --> 00:14:49,400 Speaker 1: and Venaprisod had said, like, look, there were real safety 302 00:14:49,440 --> 00:14:53,320 Speaker 1: signals on myo carditis for young people that we were ignoring. 303 00:14:54,000 --> 00:14:57,320 Speaker 1: Let's actually look at the data and these individual cases 304 00:14:57,360 --> 00:15:00,840 Speaker 1: and determine what happened here. And this intern nal memo 305 00:15:01,040 --> 00:15:05,560 Speaker 1: suggests that ten of those Venaporsad says, conservatively speaking, because 306 00:15:05,560 --> 00:15:07,680 Speaker 1: they were trying to be very fair about what information 307 00:15:07,760 --> 00:15:10,720 Speaker 1: they had and what they could deem was causal ten 308 00:15:10,880 --> 00:15:15,800 Speaker 1: deaths in children associated with the vaccine, which, of course 309 00:15:15,840 --> 00:15:19,200 Speaker 1: in many places was mandated right for children for many 310 00:15:19,240 --> 00:15:23,640 Speaker 1: activities was mandated for children, and that this information was 311 00:15:23,680 --> 00:15:27,400 Speaker 1: something they either hid, or weren't interested in, or refused 312 00:15:27,400 --> 00:15:28,400 Speaker 1: to contemplate. 313 00:15:29,040 --> 00:15:33,800 Speaker 2: Right, the big problem of the vaccine for kids, the 314 00:15:33,800 --> 00:15:36,600 Speaker 2: COVID vaccine for kids, is that it wasn't like other 315 00:15:36,720 --> 00:15:40,520 Speaker 2: vaccines where by the time the kid got it, we 316 00:15:41,040 --> 00:15:44,080 Speaker 2: still believed it would stop spread. Yes, by the time 317 00:15:44,200 --> 00:15:47,200 Speaker 2: kids were eligible to get that vaccine, we knew it 318 00:15:47,200 --> 00:15:49,640 Speaker 2: didn't stop spread. So it wasn't like, oh, you have 319 00:15:49,680 --> 00:15:51,200 Speaker 2: to get it to protect the community. 320 00:15:51,320 --> 00:15:53,280 Speaker 3: It was absolutely not about that at all. 321 00:15:53,720 --> 00:15:58,040 Speaker 2: And kids risk of dying of COVID was statistically zero, 322 00:15:58,240 --> 00:16:01,360 Speaker 2: and as you and I's saying at the time, you 323 00:16:01,400 --> 00:16:04,280 Speaker 2: can't bring zero down any further. So when kids were 324 00:16:04,320 --> 00:16:07,040 Speaker 2: getting the vaccine and then the booster, it was like, 325 00:16:07,240 --> 00:16:09,720 Speaker 2: you're still at zero. You remained in the same place 326 00:16:09,760 --> 00:16:12,480 Speaker 2: that you were before you got this vaccine. The dishonesty, 327 00:16:12,720 --> 00:16:16,680 Speaker 2: the dishonesty is just it's gonna be so long before 328 00:16:16,680 --> 00:16:20,000 Speaker 2: we recover from this. People just don't trust anything from 329 00:16:20,040 --> 00:16:22,840 Speaker 2: the government anymore. They don't trust anything from anywhere anymore. 330 00:16:23,000 --> 00:16:26,640 Speaker 2: And it's terrible. Low trust society is a dangerous society, 331 00:16:26,680 --> 00:16:27,760 Speaker 2: and that's where we are right now. 332 00:16:28,240 --> 00:16:30,760 Speaker 1: Well, and of course the reaction but from many in 333 00:16:30,840 --> 00:16:34,640 Speaker 1: mainstream organizations and from all the public health folks on 334 00:16:35,040 --> 00:16:37,680 Speaker 1: x is to say, oh, Ven Aprosod has always been 335 00:16:37,760 --> 00:16:40,200 Speaker 1: a skeptic, and he's bad for all these reasons. They 336 00:16:40,200 --> 00:16:44,000 Speaker 1: had analyzed ninety six deaths and found ten related. The 337 00:16:44,120 --> 00:16:46,440 Speaker 1: memo notes this is a profound revelation. For the first time, 338 00:16:46,440 --> 00:16:49,080 Speaker 1: the US FDA will acknowledge that COVID nineteen vaccines have 339 00:16:49,160 --> 00:16:52,600 Speaker 1: killed American children. Healthy young children who faced tremendously low 340 00:16:52,680 --> 00:16:55,400 Speaker 1: risk of death were coerced at the behest of the 341 00:16:55,440 --> 00:16:58,480 Speaker 1: Biden administration via school and work mandates to receive a 342 00:16:58,520 --> 00:17:01,880 Speaker 1: vaccine that could result than death. In many cases, such 343 00:17:01,920 --> 00:17:04,600 Speaker 1: mandates were harmful, and he said it's difficult to even 344 00:17:04,680 --> 00:17:07,840 Speaker 1: read through these cases when you think that this is 345 00:17:07,880 --> 00:17:09,280 Speaker 1: the conclusion you must come to. 346 00:17:09,640 --> 00:17:09,840 Speaker 2: Right. 347 00:17:10,240 --> 00:17:13,879 Speaker 1: He also notes that these agencies had information while this 348 00:17:14,040 --> 00:17:16,960 Speaker 1: was happening that they were not disclosing. These agencies did 349 00:17:16,960 --> 00:17:20,399 Speaker 1: not quickly attempt mitigation strategies, such as spacing doses apart 350 00:17:21,400 --> 00:17:24,879 Speaker 1: or lowering doses. Worst, the FDA delayed acknowledgment of the 351 00:17:24,880 --> 00:17:28,800 Speaker 1: safety signal until after it could extend marketing authorization to 352 00:17:28,920 --> 00:17:32,119 Speaker 1: younger boys twelve to fifteen, which is the demographic in 353 00:17:32,160 --> 00:17:34,520 Speaker 1: which this was the most problematic. 354 00:17:34,800 --> 00:17:39,240 Speaker 2: Yeah, yeah, just thinking back to that time where any 355 00:17:39,320 --> 00:17:43,000 Speaker 2: conversation about this was simply not permitted, and we kept 356 00:17:43,280 --> 00:17:44,359 Speaker 2: finding that. 357 00:17:44,280 --> 00:17:47,560 Speaker 3: The CDC was lying to us in case after case. 358 00:17:47,720 --> 00:17:49,560 Speaker 3: I remember David's wy writing. 359 00:17:49,240 --> 00:17:52,359 Speaker 2: About the myocarditis story and it being I think I 360 00:17:52,400 --> 00:17:54,919 Speaker 2: believe he wrote it a vice, but it was just 361 00:17:55,119 --> 00:17:58,159 Speaker 2: not hitting the mainstream at all, And it still is 362 00:17:58,200 --> 00:18:01,679 Speaker 2: not really in the main stream, and it's where that 363 00:18:01,800 --> 00:18:02,920 Speaker 2: loss of trust comes from. 364 00:18:03,160 --> 00:18:04,960 Speaker 1: Well, and it remains the case that people in the 365 00:18:04,960 --> 00:18:08,399 Speaker 1: mainstream and sort of left leaning public health figures still 366 00:18:08,520 --> 00:18:12,760 Speaker 1: say that anyone who notices you'll notice a theme, like 367 00:18:12,800 --> 00:18:16,280 Speaker 1: with the Minnesota fraud, if you notice the safety signal, 368 00:18:16,280 --> 00:18:19,040 Speaker 1: if you point out that these things are real, you're 369 00:18:19,119 --> 00:18:22,320 Speaker 1: the problem with trust. Now, you're the problem with trust 370 00:18:22,320 --> 00:18:24,000 Speaker 1: because you're not reckoning with the facts. 371 00:18:24,600 --> 00:18:27,240 Speaker 2: That's what we need, which used to be with science 372 00:18:27,359 --> 00:18:30,480 Speaker 2: was about facts right, and getting to a conclusion, not 373 00:18:30,600 --> 00:18:33,840 Speaker 2: starting with a conclusion and altering everything on the way there. 374 00:18:34,160 --> 00:18:37,000 Speaker 1: And giving people information that they can use to make 375 00:18:37,040 --> 00:18:40,600 Speaker 1: real decisions. A lot of people in this cohort of 376 00:18:40,640 --> 00:18:43,600 Speaker 1: young men, mothers of young men would have liked to 377 00:18:43,640 --> 00:18:45,120 Speaker 1: have had this information. 378 00:18:45,119 --> 00:18:46,600 Speaker 3: Absolutely yeah. 379 00:18:46,680 --> 00:18:49,640 Speaker 2: And taking everything away from them until they did what 380 00:18:49,680 --> 00:18:53,119 Speaker 2: you demanded of them also so wrong. I don't know 381 00:18:53,160 --> 00:18:54,919 Speaker 2: we're ever going to get a real reckoning on this. 382 00:18:55,000 --> 00:18:58,520 Speaker 2: I mean, I love what's happening now with our health agencies. 383 00:18:58,560 --> 00:19:00,560 Speaker 2: I think that there we have the people that we 384 00:19:00,680 --> 00:19:05,880 Speaker 2: trust in them. But I'd love to see a bigger investigation, 385 00:19:06,000 --> 00:19:09,080 Speaker 2: a bigger look into what really happened in so many 386 00:19:09,160 --> 00:19:09,960 Speaker 2: of these cases. 387 00:19:10,119 --> 00:19:11,840 Speaker 1: I'm glad to have an Aprosad there. I do think 388 00:19:11,880 --> 00:19:13,760 Speaker 1: he's a voice of reason. And of course in his 389 00:19:13,840 --> 00:19:17,679 Speaker 1: memo he says, I acknowledge fully that vaccines are really 390 00:19:17,680 --> 00:19:20,879 Speaker 1: good in all of these ways and help. But he 391 00:19:20,960 --> 00:19:23,480 Speaker 1: was like, certain medicines you give to certain people with 392 00:19:23,520 --> 00:19:26,560 Speaker 1: certain ailments and certain risk profiles, right, you don't give 393 00:19:26,600 --> 00:19:30,000 Speaker 1: them to other people where you might cause harm, right, period? 394 00:19:30,280 --> 00:19:30,600 Speaker 2: Yeah? 395 00:19:30,840 --> 00:19:33,000 Speaker 4: Or you know the risk profile is important. 396 00:19:33,000 --> 00:19:35,119 Speaker 2: I remember at the time, you know, where the Gavin 397 00:19:35,160 --> 00:19:38,000 Speaker 2: Newsom's were like all vaccines are good, and you take 398 00:19:38,040 --> 00:19:39,760 Speaker 2: all of them. I was like, so give your kids 399 00:19:39,800 --> 00:19:42,800 Speaker 2: the malaria vaccine? Like why not give them all of them? 400 00:19:42,920 --> 00:19:46,480 Speaker 2: Like why are you stopping at just COVID? Like continue on. 401 00:19:46,960 --> 00:19:49,560 Speaker 3: With all the vaccines that have no reason to be 402 00:19:49,560 --> 00:19:50,439 Speaker 3: given to these kids. 403 00:19:50,680 --> 00:19:52,959 Speaker 1: Still mad, bro, But we're having the conversation even if 404 00:19:52,960 --> 00:19:55,480 Speaker 1: people are incapable in many sectors. 405 00:19:55,800 --> 00:19:56,240 Speaker 4: That's right. 406 00:19:57,560 --> 00:20:00,320 Speaker 2: We will be right back with more on nor Mali. 407 00:20:00,359 --> 00:20:02,680 Speaker 2: No football segment this time. I know you all loved it. 408 00:20:02,920 --> 00:20:05,719 Speaker 2: I'll be talking the Dells giving out two hundred and 409 00:20:05,800 --> 00:20:09,200 Speaker 2: fifty dollars to millions of kids to change their lives. 410 00:20:09,359 --> 00:20:15,120 Speaker 1: Be right back, all right now, time for some good 411 00:20:15,119 --> 00:20:19,040 Speaker 1: news on normally. I love this story. So Michael, the 412 00:20:19,080 --> 00:20:22,760 Speaker 1: CEO of Dell Technologies, they have committed six point two 413 00:20:22,960 --> 00:20:27,000 Speaker 1: five billion to fund investment accounts for some twenty five 414 00:20:27,080 --> 00:20:31,600 Speaker 1: million American children. The couple's donation, this is in CNBC reporting, 415 00:20:31,760 --> 00:20:34,560 Speaker 1: will be the largest ever devoted to American children, according 416 00:20:34,600 --> 00:20:38,920 Speaker 1: to invest America, a nonprofit advocacy group partnered with the Dells. 417 00:20:39,040 --> 00:20:41,440 Speaker 1: Now this money is so, it's two hundred and fifty 418 00:20:41,480 --> 00:20:45,280 Speaker 1: per kid for twenty five million kids. It's going directly 419 00:20:45,320 --> 00:20:50,359 Speaker 1: into a tax advantaged savings and investment account called a 420 00:20:50,359 --> 00:20:54,800 Speaker 1: Trump account created created in the One Big Beautiful Bill, 421 00:20:55,080 --> 00:20:58,560 Speaker 1: and the idea behind them is to give a bunch 422 00:20:58,600 --> 00:21:02,920 Speaker 1: of kids access to the idea of saving an investment 423 00:21:03,320 --> 00:21:07,000 Speaker 1: to encourage saving an investment. And while I don't always 424 00:21:07,080 --> 00:21:11,400 Speaker 1: love a government mechanism for such things, name yeah, I 425 00:21:11,560 --> 00:21:14,720 Speaker 1: like the idea that this could give more people a 426 00:21:14,880 --> 00:21:18,440 Speaker 1: start doing this kind of thing. Now there's a there's 427 00:21:18,440 --> 00:21:21,720 Speaker 1: one thousand dollars credit coming from taxpayers that is going 428 00:21:21,720 --> 00:21:25,600 Speaker 1: into these accounts, but the dells, of their own volition 429 00:21:25,880 --> 00:21:30,200 Speaker 1: are throwing into fifty and I love that part unabashedly. 430 00:21:30,280 --> 00:21:33,520 Speaker 1: This seems smart and innovative. And I know the lefties 431 00:21:33,520 --> 00:21:35,199 Speaker 1: are going to be like, you should give it to 432 00:21:35,359 --> 00:21:37,919 Speaker 1: whatever climate change organization. It's like, no, let's give it 433 00:21:37,920 --> 00:21:38,760 Speaker 1: straight to the kids. 434 00:21:39,040 --> 00:21:40,200 Speaker 4: That's straight to the Yeah. 435 00:21:40,480 --> 00:21:42,960 Speaker 2: And actually this reminded me of that time that the 436 00:21:44,000 --> 00:21:47,119 Speaker 2: I forgot her name, the New York Times editorial person 437 00:21:47,320 --> 00:21:50,560 Speaker 2: was on TV and said that Michael Bloomberg could give 438 00:21:50,560 --> 00:21:54,479 Speaker 2: every American a million dollars because he had spent three 439 00:21:54,560 --> 00:21:57,440 Speaker 2: hundred million dollars or something on his presidential race. And 440 00:21:57,440 --> 00:22:01,160 Speaker 2: it's like, no, six point two five billion dollars, twenty 441 00:22:01,160 --> 00:22:06,600 Speaker 2: five million children two hundred and fifty dollars each. But look, 442 00:22:06,760 --> 00:22:09,080 Speaker 2: you know people are saying, is this going to matter? 443 00:22:09,200 --> 00:22:11,399 Speaker 2: Is this going to make any difference? In the lives 444 00:22:11,400 --> 00:22:13,879 Speaker 2: of these kids. And I think those people need to 445 00:22:13,920 --> 00:22:18,200 Speaker 2: look up compound interest, which is what these people are 446 00:22:18,200 --> 00:22:21,200 Speaker 2: relying on to make a difference in these kids, it'll 447 00:22:21,240 --> 00:22:25,679 Speaker 2: be invested for them, that money will grow. They can 448 00:22:25,720 --> 00:22:28,280 Speaker 2: potentially use it for retirement. Yeah, they're probably not going 449 00:22:28,320 --> 00:22:30,440 Speaker 2: to use it when when they're eighteen years old it's 450 00:22:30,440 --> 00:22:32,119 Speaker 2: going to be further down the line. 451 00:22:33,080 --> 00:22:35,080 Speaker 1: Well, and they can only be they can be used 452 00:22:35,160 --> 00:22:42,120 Speaker 1: in like low risk US stock indices. And Dell himself, 453 00:22:42,119 --> 00:22:44,800 Speaker 1: I think started his company with like one thousand dollars 454 00:22:44,840 --> 00:22:47,200 Speaker 1: of capital, right Yeah, And to me, this is such 455 00:22:47,240 --> 00:22:51,199 Speaker 1: a beautiful story about wealth generation, which I know that 456 00:22:51,200 --> 00:22:53,880 Speaker 1: our liberal friends think is a myth. But this six 457 00:22:53,920 --> 00:22:57,960 Speaker 1: point two five billion dollars would not exist if Rifldell 458 00:22:58,119 --> 00:23:01,480 Speaker 1: hadn't created something that was worth six point twenty five 459 00:23:01,520 --> 00:23:04,359 Speaker 1: billion dollars and then some. And so he's able to 460 00:23:04,440 --> 00:23:08,000 Speaker 1: give a little capital fund to twenty five million American 461 00:23:08,080 --> 00:23:10,800 Speaker 1: children who might get a taste for building and investing 462 00:23:10,880 --> 00:23:13,280 Speaker 1: in saving and think when I'm older and I have 463 00:23:13,400 --> 00:23:16,399 Speaker 1: access to this, what could I do with it? They 464 00:23:16,400 --> 00:23:18,239 Speaker 1: don't get access to it until they're eighteen, and then 465 00:23:18,280 --> 00:23:20,320 Speaker 1: I think there are restrictions on how you can take 466 00:23:20,320 --> 00:23:22,040 Speaker 1: it out and what you can use it for, but 467 00:23:22,119 --> 00:23:24,520 Speaker 1: you can use it for like starting businesses, buying a house, 468 00:23:25,280 --> 00:23:27,359 Speaker 1: and it just seems like of all the things you 469 00:23:27,400 --> 00:23:30,280 Speaker 1: could throw money at, this seems like it encourages the 470 00:23:30,400 --> 00:23:31,000 Speaker 1: right stuff. 471 00:23:31,720 --> 00:23:33,879 Speaker 2: Yeah, we love it, but if Michael Bloomberg wants to 472 00:23:33,880 --> 00:23:35,880 Speaker 2: give us each a million dollars, will take it. 473 00:23:36,200 --> 00:23:37,800 Speaker 1: He can do that too well. 474 00:23:37,800 --> 00:23:39,440 Speaker 4: Thanks for joining us on Normally. 475 00:23:39,560 --> 00:23:42,840 Speaker 2: Normally airs Tuesdays and Thursdays, and you can subscribe anywhere 476 00:23:42,920 --> 00:23:45,359 Speaker 2: you get your podcasts. Get in touch with us at 477 00:23:45,359 --> 00:23:49,480 Speaker 2: Normallythepod at gmail dot com. Actually, we're soliciting your anonymous 478 00:23:49,560 --> 00:23:53,400 Speaker 2: questions for some episodes later this month, so please send 479 00:23:53,480 --> 00:23:56,120 Speaker 2: us your questions that you want to hear us answer 480 00:23:56,119 --> 00:23:58,960 Speaker 2: on the show. Thanks for listening, and when things get 481 00:23:58,960 --> 00:24:00,520 Speaker 2: weird at normal Lee y