1 00:00:01,160 --> 00:00:03,240 Speaker 1: Hey guys, we are back on normally the show with 2 00:00:03,320 --> 00:00:06,160 Speaker 1: normalist takes for when the news gets weird. And when 3 00:00:06,200 --> 00:00:09,040 Speaker 1: I say we, I do not mean Carol Markowitz. Today, 4 00:00:09,039 --> 00:00:11,640 Speaker 1: the lovely Carol Markowitz is healing her voice, which she 5 00:00:11,720 --> 00:00:14,159 Speaker 1: has lost a bit of and so we're gonna let 6 00:00:14,160 --> 00:00:16,720 Speaker 1: her rest up. And I am in Colorado. Was my 7 00:00:16,760 --> 00:00:20,119 Speaker 1: friend Kelly Maher him, Mary Catherine, Thanks very ny. I 8 00:00:20,160 --> 00:00:25,520 Speaker 1: should probably give you a plug, Kelly Maher of restoring standards. Yes, 9 00:00:25,760 --> 00:00:28,320 Speaker 1: in the state of Colorado. She is an operative out here. 10 00:00:28,360 --> 00:00:31,240 Speaker 1: She's my very good friend. She's also just very entertaining 11 00:00:31,280 --> 00:00:33,919 Speaker 1: and grows a great garden which I've been visiting on 12 00:00:33,960 --> 00:00:37,080 Speaker 1: her patio. It's true. Welcome, Kelly, Thank you so much 13 00:00:37,120 --> 00:00:41,600 Speaker 1: for having me, Mary Catherine. But of course I'm traveling 14 00:00:41,600 --> 00:00:44,279 Speaker 1: out here. Yes. See one of our favorite artists, yea 15 00:00:44,280 --> 00:00:49,360 Speaker 1: which is relevant to the news today, Robert O'Keane. Yes, 16 00:00:49,800 --> 00:00:53,920 Speaker 1: he's a Texas honkitant guy. Oh, he's one of our 17 00:00:53,960 --> 00:00:57,040 Speaker 1: favorite We love him, cowboy poet. We've seen him now 18 00:00:57,120 --> 00:01:00,400 Speaker 1: live several times. We've seen him in Virginia. Yes, we've 19 00:01:00,400 --> 00:01:04,480 Speaker 1: seen him here in Colorado, and we have on the 20 00:01:04,600 --> 00:01:08,960 Speaker 1: list before he retires for the second time to go 21 00:01:09,000 --> 00:01:11,480 Speaker 1: to Texas at some point and see him together. Yes, 22 00:01:12,080 --> 00:01:14,280 Speaker 1: we will work on that. We also he was our 23 00:01:14,360 --> 00:01:18,600 Speaker 1: last concert before the pandemic. It won December twenty nineteen, 24 00:01:19,120 --> 00:01:22,959 Speaker 1: and he was our only concert during the pandemic because 25 00:01:23,000 --> 00:01:26,520 Speaker 1: as a good Texan he was still touring and doing concerts. 26 00:01:27,040 --> 00:01:30,520 Speaker 1: We Rebels went out in Northern Virginia where the Rebel 27 00:01:30,920 --> 00:01:34,160 Speaker 1: Concert Venue was holding an actual concert, and we went 28 00:01:34,200 --> 00:01:37,360 Speaker 1: there and drank beers with other people and had a 29 00:01:37,400 --> 00:01:39,360 Speaker 1: singer sing in front of us, and it was fantastic. 30 00:01:39,480 --> 00:01:42,520 Speaker 1: It's glad. Robert oak Is Keen is fantastic, and he 31 00:01:42,600 --> 00:01:44,520 Speaker 1: is relevant to the news right now because he is 32 00:01:44,600 --> 00:01:48,240 Speaker 1: from Kerrville, Texas. Yes, so when we see him on 33 00:01:48,280 --> 00:01:50,560 Speaker 1: the day of this podcast, it will not be quite 34 00:01:50,600 --> 00:01:54,600 Speaker 1: as celebratory a tone for this concert as it would 35 00:01:54,800 --> 00:01:57,560 Speaker 1: otherwise be because it is his hometown has been struck 36 00:01:57,600 --> 00:02:02,560 Speaker 1: by a tremendous tragedy. Original fourth. At this point, the 37 00:02:02,640 --> 00:02:05,640 Speaker 1: death toll is more than eighty for extreme flooding from 38 00:02:05,640 --> 00:02:11,720 Speaker 1: the Guadalupe River. Yeah, including some sixty plus adults and 39 00:02:11,760 --> 00:02:15,240 Speaker 1: twenty plus children. And it's a it's almost too sad 40 00:02:15,320 --> 00:02:19,400 Speaker 1: to even think about There was an all girls Christian 41 00:02:19,440 --> 00:02:22,800 Speaker 1: camp on the banks of the river and Mystic Camp. 42 00:02:22,840 --> 00:02:26,880 Speaker 1: Mystic that Robert Okane, as he notes in his video, 43 00:02:26,960 --> 00:02:30,640 Speaker 1: raising money for the town. He sent his daughters there, 44 00:02:30,720 --> 00:02:32,440 Speaker 1: So it will it will no doubt be sort of 45 00:02:32,480 --> 00:02:37,800 Speaker 1: a raw performance and tribute to some extent tomorrow. And 46 00:02:37,880 --> 00:02:39,960 Speaker 1: he's he's also been raising a ton of money. I 47 00:02:40,000 --> 00:02:44,480 Speaker 1: want to mention the fund which is at TinyURL dot 48 00:02:44,520 --> 00:02:49,440 Speaker 1: com slash curve flood Relief ker r flood Relief. My 49 00:02:49,480 --> 00:02:53,440 Speaker 1: co host Carol was on this very early on and 50 00:02:53,520 --> 00:02:57,880 Speaker 1: was generously matching donations, and so I planned to throw 51 00:02:57,919 --> 00:03:00,480 Speaker 1: my money at it as well to the first responders 52 00:03:00,480 --> 00:03:05,200 Speaker 1: on the ground taking care of this incredibly tragic situation. Yeah, 53 00:03:04,840 --> 00:03:09,280 Speaker 1: it's a real heartbreaker, especially when you have kids. Yeah, 54 00:03:09,520 --> 00:03:12,799 Speaker 1: you know, it's just and we're both moms, as is Carol, 55 00:03:12,919 --> 00:03:17,639 Speaker 1: and it's just it gets you. It's, like I said, 56 00:03:17,680 --> 00:03:19,440 Speaker 1: it's hard to even think about. There are, of course, 57 00:03:19,480 --> 00:03:23,280 Speaker 1: stories of heroism, tragic stories of heroism. The director of 58 00:03:23,320 --> 00:03:25,920 Speaker 1: the camp was reportedly in the process of trying to 59 00:03:25,960 --> 00:03:29,280 Speaker 1: evacuate some of the girls when he lost his life. 60 00:03:29,520 --> 00:03:31,320 Speaker 1: It's a family owned camp has been in the family 61 00:03:31,320 --> 00:03:36,600 Speaker 1: for generations he had run it since the seventies. The 62 00:03:37,120 --> 00:03:43,120 Speaker 1: river rose twenty six feet in under an hour, which 63 00:03:43,160 --> 00:03:48,040 Speaker 1: is they have suffered floods there before. It's Central Texas. Yeah, 64 00:03:48,120 --> 00:03:51,360 Speaker 1: the ground is dry. It doesn't suck up water when 65 00:03:51,400 --> 00:03:53,680 Speaker 1: water comes over the edge, which is part of the 66 00:03:53,680 --> 00:03:57,520 Speaker 1: reason it gets so dangerous. In nineteen eighty seven, some 67 00:03:57,560 --> 00:04:00,840 Speaker 1: floods struck the same area, struck the camps in that area. 68 00:04:01,080 --> 00:04:03,640 Speaker 1: But from what I've read about this, some of it 69 00:04:03,760 --> 00:04:06,680 Speaker 1: was just the cabins had held in the past. They 70 00:04:06,680 --> 00:04:11,480 Speaker 1: had never seen this type of flooding, this to quite 71 00:04:11,480 --> 00:04:17,120 Speaker 1: this degree, to this many fatalities. Certainly, there are, of 72 00:04:17,160 --> 00:04:22,719 Speaker 1: course people turning it political as quickly as they can. 73 00:04:23,920 --> 00:04:27,200 Speaker 1: I think the worst tweet was like Ron Filipowski, who's 74 00:04:27,440 --> 00:04:29,440 Speaker 1: an editor over It might As Touched, which is a 75 00:04:29,480 --> 00:04:33,279 Speaker 1: partisan lefty news outlet, who was just like, they voted 76 00:04:33,279 --> 00:04:36,840 Speaker 1: for this governance and they get what they deserve. It's like, sir, 77 00:04:36,880 --> 00:04:40,560 Speaker 1: they're seven to eight year old children. Yeah, it's unbelievable. 78 00:04:41,800 --> 00:04:45,480 Speaker 1: You know, this is I think baseball Crank at National 79 00:04:45,520 --> 00:04:48,480 Speaker 1: Review made this point, this is it is unfortunate that 80 00:04:48,560 --> 00:04:54,360 Speaker 1: it was the Katrina Playbook, which was successful in really 81 00:04:54,400 --> 00:04:59,640 Speaker 1: taking George W. Bush down several notches by filling a 82 00:04:59,680 --> 00:05:03,680 Speaker 1: knowledge vacuum with information that often wasn't true. And it's 83 00:05:03,680 --> 00:05:05,480 Speaker 1: not that there weren't mistakes. Of course, there are mistakes 84 00:05:05,520 --> 00:05:08,440 Speaker 1: in a disaster, but to turn it into a partisan 85 00:05:10,400 --> 00:05:14,160 Speaker 1: news event, I think was new in two thousand and five, 86 00:05:14,480 --> 00:05:17,599 Speaker 1: and they've just been recycling. No, it's just a standard now. 87 00:05:17,680 --> 00:05:20,520 Speaker 1: You will notice they don't recycle it in North Carolina 88 00:05:20,520 --> 00:05:22,960 Speaker 1: with western North Carolina floods because there was democratic governor 89 00:05:22,960 --> 00:05:25,160 Speaker 1: and Biden with president, So if they don't have the 90 00:05:25,240 --> 00:05:29,359 Speaker 1: right person to blame, they won't do that. But in 91 00:05:29,360 --> 00:05:32,839 Speaker 1: this case they're doing it somewhat somewhat enthusiastically. And I 92 00:05:32,960 --> 00:05:40,440 Speaker 1: just want to note for information's sake, you know CNN's 93 00:05:40,520 --> 00:05:45,680 Speaker 1: noting now National Weather Service cuts and NAA cuts. In 94 00:05:45,720 --> 00:05:48,400 Speaker 1: the National Weather Service itself says, actually we had extra 95 00:05:48,400 --> 00:05:52,360 Speaker 1: staff in the office that night. Other mainstream media folks 96 00:05:53,440 --> 00:05:57,000 Speaker 1: have said, oh, there aren't enough alerts, whereas the Austin 97 00:05:57,040 --> 00:05:59,880 Speaker 1: meteorologist who is on the case and local says they 98 00:05:59,880 --> 00:06:02,680 Speaker 1: do their job and did it well. That's the quote. 99 00:06:03,440 --> 00:06:07,120 Speaker 1: There were various warnings at various times of the night, 100 00:06:07,720 --> 00:06:10,080 Speaker 1: starting at like twelve forty one am. But most of 101 00:06:10,080 --> 00:06:13,839 Speaker 1: this happened when people were sleeping, making it sort of 102 00:06:13,880 --> 00:06:17,800 Speaker 1: a worst case scenario of a very risky place, a 103 00:06:17,880 --> 00:06:23,000 Speaker 1: very risky time of night, an incredibly strong flood in 104 00:06:23,480 --> 00:06:27,839 Speaker 1: a vulnerable place, in a vulnerable place. And also, you 105 00:06:27,880 --> 00:06:31,680 Speaker 1: know you do that cost benefit analysis, right, which is like, 106 00:06:32,200 --> 00:06:36,200 Speaker 1: what does taking a bunch of little girls out in 107 00:06:36,240 --> 00:06:38,000 Speaker 1: the middle of the night in their pgs running them 108 00:06:38,040 --> 00:06:42,719 Speaker 1: up a hill? Yes, yes, we have experienced something like 109 00:06:42,760 --> 00:06:47,200 Speaker 1: this before and these cabins of hell, right, And I 110 00:06:47,200 --> 00:06:51,720 Speaker 1: mean here in Colorado we will regularly get tornado warnings 111 00:06:51,760 --> 00:06:54,320 Speaker 1: and it's like do you take your kids downstairs? Do 112 00:06:54,560 --> 00:06:59,480 Speaker 1: you know? It's not always clear in the moment. It 113 00:06:59,520 --> 00:07:02,840 Speaker 1: becomes a lot clear in retrospect, like oh, if they 114 00:07:02,920 --> 00:07:06,200 Speaker 1: would have done this then that, But in the moment 115 00:07:06,240 --> 00:07:08,920 Speaker 1: it's not always clear what is the safest or best 116 00:07:09,480 --> 00:07:13,400 Speaker 1: thing to do? Yeah, And again, I this is the 117 00:07:13,440 --> 00:07:17,600 Speaker 1: thing about all these turning everything political. LA residents do 118 00:07:17,720 --> 00:07:23,200 Speaker 1: not deserve wildfires, right right. I don't think that they 119 00:07:23,200 --> 00:07:26,160 Speaker 1: are being punished for anything. What I do think is 120 00:07:26,200 --> 00:07:29,640 Speaker 1: that local governments in Florida is the greatest example of this, 121 00:07:29,760 --> 00:07:32,440 Speaker 1: and the federal government to the extent it can should 122 00:07:32,480 --> 00:07:35,560 Speaker 1: have things in place to the greatest degree to help 123 00:07:35,600 --> 00:07:38,080 Speaker 1: as quickly as possible when or something like this happens. 124 00:07:38,120 --> 00:07:41,280 Speaker 1: To that point, the Texas Air National Guard has been 125 00:07:41,560 --> 00:07:43,920 Speaker 1: rescuing folks and has rescued some like three hundred and 126 00:07:44,000 --> 00:07:49,840 Speaker 1: eighty five people amazing with their helicopters in very dangerous conditions. 127 00:07:50,680 --> 00:07:55,840 Speaker 1: And again I want to say that that url is 128 00:07:56,000 --> 00:08:00,240 Speaker 1: TinyURL dot com slash car flood Relief, ker flood Relief. 129 00:08:00,360 --> 00:08:02,520 Speaker 1: There's also the Cajun Navy and all these guys who 130 00:08:02,520 --> 00:08:06,840 Speaker 1: are always helpful in these situations who you can help 131 00:08:06,880 --> 00:08:11,240 Speaker 1: out as well. But I want to play the interview 132 00:08:11,800 --> 00:08:13,800 Speaker 1: that oh, I wanted to know one more thing from 133 00:08:13,840 --> 00:08:17,200 Speaker 1: a local expert who noted one of the takeaways maybe 134 00:08:17,760 --> 00:08:21,680 Speaker 1: that there are too many flash flood warnings in areas 135 00:08:21,720 --> 00:08:26,840 Speaker 1: like this that dilute the power of a flash flood warning. 136 00:08:27,200 --> 00:08:29,760 Speaker 1: That what I just said about the tornado warnings, they 137 00:08:29,760 --> 00:08:34,000 Speaker 1: happen all the time around here, and it is one 138 00:08:34,000 --> 00:08:37,240 Speaker 1: of those things that it's hard to know what is 139 00:08:37,280 --> 00:08:40,160 Speaker 1: the most really like what is an imminent threat versus 140 00:08:40,160 --> 00:08:42,440 Speaker 1: not well, and what is an abundance of caution that 141 00:08:42,600 --> 00:08:45,480 Speaker 1: is then going to cause you trouble in the future. 142 00:08:45,520 --> 00:08:50,040 Speaker 1: Emergency planning is like the vegetables of governance. Yes, and 143 00:08:50,080 --> 00:08:54,480 Speaker 1: it's not sexy work, but man, it makes a difference 144 00:08:54,520 --> 00:08:56,680 Speaker 1: when you're if you do it well and you do 145 00:08:56,760 --> 00:09:00,320 Speaker 1: it right. There is one guy who got it really 146 00:09:00,400 --> 00:09:04,160 Speaker 1: right with his team and as Petty Officer Scott Ruskin 147 00:09:04,800 --> 00:09:09,400 Speaker 1: of the Coastguard, who was the first first responder at 148 00:09:09,720 --> 00:09:14,120 Speaker 1: Camp Mystic and surrounding areas, and he had the estimates 149 00:09:14,120 --> 00:09:16,920 Speaker 1: are like one sixty to between one sixty and two 150 00:09:17,000 --> 00:09:20,520 Speaker 1: hundred kids who were, as he notes, having the worst 151 00:09:20,559 --> 00:09:23,600 Speaker 1: day of their lives, ran scared and cold, and it 152 00:09:23,720 --> 00:09:30,600 Speaker 1: was his job, as a new like diving rescue diver 153 00:09:31,679 --> 00:09:35,720 Speaker 1: to help them to the best of his ability. And 154 00:09:35,800 --> 00:09:43,480 Speaker 1: it seems that he did so with incredible courage and effectiveness. 155 00:09:43,600 --> 00:09:47,040 Speaker 1: And I'm going to just play him explaining what happened 156 00:09:47,920 --> 00:09:50,480 Speaker 1: to George Stephanopoulos. Now this clip is a little long, 157 00:09:50,520 --> 00:09:54,079 Speaker 1: but I think it's worth letting him narrate this. 158 00:09:54,760 --> 00:09:56,120 Speaker 2: Yeah, so I'll kind of give you as a quick 159 00:09:56,120 --> 00:09:58,960 Speaker 2: synopsis of what was going on. The Coastguard launched US 160 00:09:59,000 --> 00:10:01,880 Speaker 2: and decided to send crew from air Station Corpus Chirsty 161 00:10:01,920 --> 00:10:04,800 Speaker 2: at about six thirty seven am on Friday, the fourth 162 00:10:04,800 --> 00:10:06,720 Speaker 2: of July. I just happened to be on the junior 163 00:10:06,760 --> 00:10:10,920 Speaker 2: career with ian hopper Blair Wouge for Seth Reeves some 164 00:10:10,960 --> 00:10:13,440 Speaker 2: of our crew members in the Coast Guard, and yeah, 165 00:10:13,480 --> 00:10:15,800 Speaker 2: they sent us out. We kind of encountered some pretty 166 00:10:15,800 --> 00:10:18,520 Speaker 2: serious weather, some of the worst flying we've ever dealt with. Personally. 167 00:10:19,320 --> 00:10:20,640 Speaker 2: It took us, you know, which should have been an 168 00:10:20,679 --> 00:10:23,080 Speaker 2: hour flight, probably took us about seven or eight just 169 00:10:23,120 --> 00:10:25,559 Speaker 2: to get into the landing zone. Once man got four 170 00:10:25,559 --> 00:10:27,319 Speaker 2: different approaches trying to get in. We were able to 171 00:10:27,320 --> 00:10:29,679 Speaker 2: get out getting boots on the ground with the Air 172 00:10:29,760 --> 00:10:34,079 Speaker 2: National Guard, Department of Public Safety for Texas game Wardens, 173 00:10:34,160 --> 00:10:36,079 Speaker 2: and we decided to leave me on scene at can't 174 00:10:36,120 --> 00:10:38,360 Speaker 2: mist it. That was kind of our main triage site. 175 00:10:38,360 --> 00:10:39,560 Speaker 2: We were trying to help out with. 176 00:10:41,120 --> 00:10:43,960 Speaker 1: Just a note. Notice how many times in a three 177 00:10:43,960 --> 00:10:48,240 Speaker 1: minute clip he names other people to thank Yep, just 178 00:10:48,280 --> 00:10:49,200 Speaker 1: from second one. 179 00:10:50,000 --> 00:10:52,000 Speaker 2: We decide, Hey, if we leave the rescue summer on scene, 180 00:10:52,000 --> 00:10:54,360 Speaker 2: we'll have more space in our Dolphin MH sixty five. 181 00:10:55,160 --> 00:10:57,480 Speaker 2: So based on that, I got on scene boots on 182 00:10:57,520 --> 00:11:00,160 Speaker 2: the ground it can't miss it. Kind of discovered was 183 00:11:00,160 --> 00:11:03,839 Speaker 2: the only person there as far as like first responders go. So, yeah, 184 00:11:03,840 --> 00:11:08,560 Speaker 2: I had about two hundred kids, mostly all scared, terrified, cold, 185 00:11:09,600 --> 00:11:11,040 Speaker 2: having probably the worst day of their life, and I 186 00:11:11,080 --> 00:11:12,760 Speaker 2: just kind of need to triage them, get them to 187 00:11:12,840 --> 00:11:15,600 Speaker 2: a higher level care and get them get them off 188 00:11:15,640 --> 00:11:17,800 Speaker 2: at a flood zone with a lot of the US 189 00:11:17,880 --> 00:11:20,160 Speaker 2: sixty Army helicopters. 190 00:11:19,720 --> 00:11:21,120 Speaker 1: Talk about how that wor you got it? 191 00:11:21,120 --> 00:11:24,439 Speaker 2: One hundred and sixty five close two hundred kids there, 192 00:11:24,840 --> 00:11:27,640 Speaker 2: how do you get them out just one by one? Yeah, yeah, sir, 193 00:11:27,679 --> 00:11:28,439 Speaker 2: it's a great question. 194 00:11:29,160 --> 00:11:29,360 Speaker 1: Yeah. 195 00:11:29,400 --> 00:11:31,960 Speaker 2: So, the United States Army National Guard was landing their 196 00:11:32,000 --> 00:11:34,880 Speaker 2: sixties with Task Force one some of their rescue summers, 197 00:11:34,880 --> 00:11:36,120 Speaker 2: and they were able to land. We kind of came 198 00:11:36,200 --> 00:11:38,480 Speaker 2: up with two different landing zones. There's one off an 199 00:11:38,520 --> 00:11:41,439 Speaker 2: archery field and then one at a soccer field. 200 00:11:41,520 --> 00:11:44,400 Speaker 1: So yeah, Also, I love the details from a first responder. 201 00:11:44,559 --> 00:11:48,200 Speaker 1: This cadence of telling the story is very first responder. Yeah, sig, 202 00:11:48,280 --> 00:11:50,280 Speaker 1: let me, let let me tell you exactly what kind 203 00:11:50,280 --> 00:11:53,679 Speaker 1: of vehicles we were using and the landing zones we're 204 00:11:53,720 --> 00:11:54,040 Speaker 1: able to. 205 00:11:54,080 --> 00:11:56,640 Speaker 2: Kind of land those sixties in there. And then I 206 00:11:56,800 --> 00:11:58,360 Speaker 2: was kind of the main guy as far as like 207 00:11:58,400 --> 00:12:01,920 Speaker 2: grabbing people's like fifteen to ten kids at a time, 208 00:12:02,200 --> 00:12:04,480 Speaker 2: maybe one adult with them, and bringing them over to 209 00:12:04,520 --> 00:12:07,360 Speaker 2: those sixties and getting them to a different LZ that 210 00:12:07,440 --> 00:12:09,800 Speaker 2: was kind of safe and had more first responders than 211 00:12:09,840 --> 00:12:12,160 Speaker 2: just myself out there. Had you ever done this before? No, 212 00:12:12,320 --> 00:12:14,800 Speaker 2: this is my first one. I haven't had any cases before. 213 00:12:14,800 --> 00:12:17,320 Speaker 2: I've been a rescue swimmer from had a year fully 214 00:12:17,320 --> 00:12:20,080 Speaker 2: trained for about six months, so yeah, this was my 215 00:12:20,120 --> 00:12:22,160 Speaker 2: first experience. But I really just kind of relied on 216 00:12:22,160 --> 00:12:24,360 Speaker 2: the training we get. Coast Guard rescue summers get some 217 00:12:24,360 --> 00:12:27,199 Speaker 2: of the highest level training in the world, So really 218 00:12:27,200 --> 00:12:29,000 Speaker 2: just kind of relied on that and that, you know, 219 00:12:29,080 --> 00:12:30,800 Speaker 2: just knowing that any of the rescue swimmers in the 220 00:12:30,840 --> 00:12:33,240 Speaker 2: Coast Guard would have done the exact same, if not 221 00:12:33,280 --> 00:12:34,959 Speaker 2: better than me. So training, so we want to tell 222 00:12:34,960 --> 00:12:35,520 Speaker 2: you this was. 223 00:12:35,480 --> 00:12:36,240 Speaker 1: The very old deal. 224 00:12:36,440 --> 00:12:38,280 Speaker 2: Yeah, yeah, this is definitely the real deal. But I 225 00:12:38,320 --> 00:12:40,000 Speaker 2: just remembered that, you know, when I got on seeing 226 00:12:40,040 --> 00:12:42,000 Speaker 2: there was you know, two hundred kids looking to someone 227 00:12:42,080 --> 00:12:44,960 Speaker 2: for some sort of comfort and safety. They don't really 228 00:12:45,000 --> 00:12:47,160 Speaker 2: know what my experience is, or my rank or my age. 229 00:12:47,200 --> 00:12:49,199 Speaker 2: They just know, hey, this guy's this guy's a professional 230 00:12:49,280 --> 00:12:50,320 Speaker 2: and need to shoot to help us, and I kind 231 00:12:50,360 --> 00:12:52,440 Speaker 2: of had to live up to that standard. But yeah, 232 00:12:52,440 --> 00:12:54,480 Speaker 2: the real heroes, I think we're too that the kids 233 00:12:54,480 --> 00:12:56,680 Speaker 2: on the ground, like those guys are heroic and you know, 234 00:12:56,840 --> 00:12:58,240 Speaker 2: they were dealing with some of the worst times of 235 00:12:58,240 --> 00:13:00,000 Speaker 2: their lives and they were staying strong. And that album 236 00:13:00,120 --> 00:13:02,040 Speaker 2: inspired me to kind of get in there and help 237 00:13:02,080 --> 00:13:02,400 Speaker 2: them out. 238 00:13:03,320 --> 00:13:07,920 Speaker 1: Okay, thank goodness for men like him. Yes, he is 239 00:13:08,120 --> 00:13:13,480 Speaker 1: twenty six. I believe he changed careers from like a 240 00:13:13,679 --> 00:13:17,600 Speaker 1: finance or an accountant guy with I believe KPMGAH to 241 00:13:17,720 --> 00:13:20,520 Speaker 1: the coast Guard and became a rescue swimmer, which is 242 00:13:20,800 --> 00:13:25,960 Speaker 1: some of the most insane training that any American military undergoes. 243 00:13:26,720 --> 00:13:28,640 Speaker 1: And thank goodness, he was there that day on his 244 00:13:28,679 --> 00:13:32,400 Speaker 1: first ever mission. And I just the whole spirit of that, 245 00:13:32,520 --> 00:13:37,120 Speaker 1: like the way he's recounting it, the way he's noting 246 00:13:37,160 --> 00:13:40,120 Speaker 1: everyone else who helped, Yes, the way he's being very 247 00:13:40,120 --> 00:13:44,840 Speaker 1: calm about it, just like exactly what you want. The 248 00:13:44,880 --> 00:13:49,520 Speaker 1: fact that he's twenty six gives me hope. Yeah, right, 249 00:13:50,000 --> 00:13:54,680 Speaker 1: Like my impression often of twenty six year olds and 250 00:13:54,720 --> 00:13:57,600 Speaker 1: there are shiny exceptions all the time, right, but one 251 00:13:57,600 --> 00:14:00,960 Speaker 1: of them is just that we need more more men 252 00:14:01,120 --> 00:14:07,040 Speaker 1: like him coming up the ranks right well, and like again, 253 00:14:07,400 --> 00:14:10,800 Speaker 1: he probably spared He spared so many families in all 254 00:14:10,880 --> 00:14:15,720 Speaker 1: likelihood worse stories. I think one of the one of 255 00:14:15,720 --> 00:14:18,040 Speaker 1: the things about this storm, it does seem that the 256 00:14:18,080 --> 00:14:22,320 Speaker 1: water receded fairly quickly, so in other places that were 257 00:14:22,360 --> 00:14:24,720 Speaker 1: further from the river, even though people were in danger, 258 00:14:25,000 --> 00:14:28,040 Speaker 1: they were able to get out of danger quickly, quickly 259 00:14:28,200 --> 00:14:32,160 Speaker 1: enough they could save a lot of people. No doubt 260 00:14:32,160 --> 00:14:35,880 Speaker 1: that the numbers will go up, which is terrible. But 261 00:14:35,920 --> 00:14:39,520 Speaker 1: I just this has been on my mind since July fourth, 262 00:14:39,560 --> 00:14:41,440 Speaker 1: even though it's very very hard to think about, and 263 00:14:41,480 --> 00:14:43,800 Speaker 1: I just wanted to end with this segment of the 264 00:14:43,840 --> 00:14:47,880 Speaker 1: show with something that was like hopeful, somebody rescued one 265 00:14:47,960 --> 00:14:50,680 Speaker 1: hundred and sixty five kids. And you know, as you said, 266 00:14:50,800 --> 00:14:54,520 Speaker 1: we're heading to this concert from this artist that we 267 00:14:54,600 --> 00:14:57,440 Speaker 1: both love and have both seen, and this is going 268 00:14:57,520 --> 00:14:59,920 Speaker 1: to be you know, usually his concerts are very kind 269 00:14:59,920 --> 00:15:03,880 Speaker 1: of like happy, upbeat, and he's got some he's such 270 00:15:04,160 --> 00:15:08,359 Speaker 1: a fabulous storyteller, and he has some songs that are heartbreaking, 271 00:15:08,440 --> 00:15:11,000 Speaker 1: and it's going to be I think, I think it's 272 00:15:11,040 --> 00:15:13,800 Speaker 1: going to be meaningful was the word that you used. 273 00:15:13,920 --> 00:15:16,480 Speaker 1: So we're heading into that. We'll be right back on 274 00:15:16,680 --> 00:15:25,120 Speaker 1: normally onto less harrowing news. The one big beautiful bill passed. 275 00:15:25,280 --> 00:15:28,720 Speaker 1: It did, and I'm not going to get into a 276 00:15:28,720 --> 00:15:31,040 Speaker 1: big breakdown on it. I will do that with Carol 277 00:15:31,120 --> 00:15:36,200 Speaker 1: when she's back with the show. Look, there's a lot 278 00:15:36,200 --> 00:15:38,640 Speaker 1: of spending in it, there's a lot of stuff in it. Yes, 279 00:15:38,720 --> 00:15:41,440 Speaker 1: there's some good things in it. There's some positive structural 280 00:15:41,520 --> 00:15:45,880 Speaker 1: changes in it. Most importantly, there is the extension of 281 00:15:45,960 --> 00:15:49,720 Speaker 1: the tax rates that came with the twenty seventeen tax bill. 282 00:15:50,040 --> 00:15:53,680 Speaker 1: Without the extension of those rates, we would see some 283 00:15:54,800 --> 00:16:00,760 Speaker 1: real economic carnage and the biggest tax hike on virtually 284 00:16:00,840 --> 00:16:04,400 Speaker 1: every American who pays taxes that we've seen in quite 285 00:16:04,720 --> 00:16:08,760 Speaker 1: some time. So that part absolutely needed to get done, 286 00:16:08,800 --> 00:16:11,400 Speaker 1: and it got done. And here's I will say this. Look, 287 00:16:11,800 --> 00:16:16,600 Speaker 1: I'm going to have my pluses and minuses for this bill. However, 288 00:16:17,680 --> 00:16:24,400 Speaker 1: they got something done before the deadline. Yeah, I'm look 289 00:16:25,160 --> 00:16:28,520 Speaker 1: is that it's sort of worth congratulating them over with 290 00:16:28,640 --> 00:16:34,720 Speaker 1: a tight Congress, right when you're talking about a one 291 00:16:34,800 --> 00:16:39,600 Speaker 1: or two vote swing either way, you're not ever going 292 00:16:39,640 --> 00:16:43,320 Speaker 1: to get anything everything that you want. In fact, it's 293 00:16:43,360 --> 00:16:49,000 Speaker 1: probably gonna be pretty dicey. Yeah. And so then everybody's 294 00:16:49,040 --> 00:16:52,600 Speaker 1: doing horse trading and everybody's doing you know, real cost 295 00:16:52,640 --> 00:16:59,239 Speaker 1: benefit analysis. But when we're talking about the economic vitality 296 00:16:59,280 --> 00:17:06,800 Speaker 1: of this country, being able to anticipate consistent tax rates, yeah, important. 297 00:17:07,480 --> 00:17:11,760 Speaker 1: It's one of the most important underpinnings of our ability 298 00:17:11,800 --> 00:17:15,280 Speaker 1: to just keep moving things forward, right, And that is 299 00:17:16,240 --> 00:17:19,480 Speaker 1: I would give up a lot for that. Yeah. And 300 00:17:19,800 --> 00:17:22,280 Speaker 1: like I said, that part had to get done. 301 00:17:22,600 --> 00:17:22,840 Speaker 2: Yes. 302 00:17:23,359 --> 00:17:26,360 Speaker 1: And the deadline, by the way, was not until December 303 00:17:26,400 --> 00:17:29,480 Speaker 1: thirty first, right, the tax rates were not going to 304 00:17:29,680 --> 00:17:35,480 Speaker 1: expire until then, but Trump said July fourth. And Mike Johnson, 305 00:17:35,680 --> 00:17:40,920 Speaker 1: whose success is a side plot. 306 00:17:40,640 --> 00:17:42,600 Speaker 2: That I just enjoy so much. 307 00:17:44,080 --> 00:17:48,159 Speaker 1: He's so underestimated over and over again. He takes the 308 00:17:48,200 --> 00:17:50,399 Speaker 1: Senate version back to the House over the holiday and 309 00:17:50,440 --> 00:17:52,160 Speaker 1: it's like, now y'all are going to do this, Yeah, 310 00:17:52,200 --> 00:17:54,840 Speaker 1: and everyone's like, that's magical thinking. Mike Johnson can't do that. 311 00:17:54,880 --> 00:17:58,960 Speaker 1: But Mike Johnson can do that. Yeah. It is an 312 00:17:59,000 --> 00:18:03,920 Speaker 1: interesting side black that I did not anticipate. And yet 313 00:18:04,280 --> 00:18:07,880 Speaker 1: it's going to be super fascinating for how that plays out. 314 00:18:07,920 --> 00:18:11,440 Speaker 1: As we get closer and closer to midterms, right, yes, well, 315 00:18:11,480 --> 00:18:14,280 Speaker 1: and like there will be I think, aside from the 316 00:18:14,280 --> 00:18:18,160 Speaker 1: One Big Beautiful Bill name being a triumph of branding, 317 00:18:19,280 --> 00:18:22,840 Speaker 1: the actual contents of the One Big Beautiful Bill that 318 00:18:23,200 --> 00:18:27,120 Speaker 1: are good and beneficial, beneficial to people have not been 319 00:18:27,160 --> 00:18:31,600 Speaker 1: broadcast nearly as effectively as the things that Democrats have 320 00:18:31,680 --> 00:18:34,280 Speaker 1: said about the bill, right, So if you would like 321 00:18:34,320 --> 00:18:37,960 Speaker 1: to fight that battle, you should start now. It's true, 322 00:18:37,960 --> 00:18:40,840 Speaker 1: and they're already up with ads and all sorts of 323 00:18:40,840 --> 00:18:44,520 Speaker 1: stuff about Medicaid reform being Medicaid cuts. And Scott Bessen 324 00:18:44,720 --> 00:18:47,440 Speaker 1: can't fight this fight on his own, right, He's out 325 00:18:47,440 --> 00:18:49,560 Speaker 1: there on the Sunday shows doing the best he can. 326 00:18:49,920 --> 00:18:52,560 Speaker 1: But so I think that that will matter for twenty 327 00:18:52,600 --> 00:18:57,719 Speaker 1: twenty six. And also every story just gets swallowed by 328 00:18:57,720 --> 00:18:59,959 Speaker 1: other stories so quickly that how much will it make? 329 00:19:00,920 --> 00:19:04,280 Speaker 1: I mean, this is this is the question going into 330 00:19:04,280 --> 00:19:09,800 Speaker 1: any midterm ever, right, which is I was a I'm 331 00:19:10,280 --> 00:19:13,320 Speaker 1: I do political work, right, So I was on a call, 332 00:19:13,480 --> 00:19:16,920 Speaker 1: I was on a pulling call last week. And it's 333 00:19:16,960 --> 00:19:21,960 Speaker 1: so hard to anticipate anything gubernatorially or congressionally right now 334 00:19:22,480 --> 00:19:26,320 Speaker 1: out here in the West and elsewhere, just because there 335 00:19:26,359 --> 00:19:32,159 Speaker 1: are so many unknown unknowns. The idea that anything that 336 00:19:32,200 --> 00:19:35,240 Speaker 1: matters right now will be the thing that we're talking 337 00:19:35,240 --> 00:19:38,760 Speaker 1: about a year from now seems so deeply unlike, well 338 00:19:38,760 --> 00:19:40,560 Speaker 1: as illustrated. By the time that we spent on the 339 00:19:40,600 --> 00:19:44,000 Speaker 1: first segment, I nearly forgot about the One Big, Beautiful 340 00:19:44,000 --> 00:19:47,360 Speaker 1: Bill as I was putting this show together, because it 341 00:19:47,400 --> 00:19:51,520 Speaker 1: felt like so long ago when it was July fourth. Well, 342 00:19:52,119 --> 00:19:54,400 Speaker 1: you and I have discussed before, and I'm sure you've 343 00:19:54,400 --> 00:19:58,280 Speaker 1: discussed with Carol before, the fact that I thought there 344 00:19:58,400 --> 00:20:02,000 Speaker 1: was going to be more of a punishment of the 345 00:20:02,040 --> 00:20:05,280 Speaker 1: political class on how they handled COVID, and it mostly 346 00:20:05,320 --> 00:20:09,800 Speaker 1: didn't happen because we've turned into human etches sketches. Yeah, 347 00:20:10,160 --> 00:20:12,000 Speaker 1: And to the extent that it happened, as you note 348 00:20:12,000 --> 00:20:16,200 Speaker 1: about under us or not being able to read it, 349 00:20:16,200 --> 00:20:20,719 Speaker 1: it happened much later in different forms than we anticipated, 350 00:20:20,720 --> 00:20:22,320 Speaker 1: because we thought it would be a quick backlash, and 351 00:20:22,320 --> 00:20:24,280 Speaker 1: I think the backlash was trumpet. It was a lot faster. 352 00:20:24,400 --> 00:20:29,200 Speaker 1: It was a lot later than we anticipated. Speaking of backlash, 353 00:20:29,800 --> 00:20:35,040 Speaker 1: Elon and Donald are had it again. Yeah, most of 354 00:20:35,080 --> 00:20:37,600 Speaker 1: the backlash at all, shock, Most of the backlashes actually 355 00:20:38,000 --> 00:20:43,280 Speaker 1: just Elon. I think who look I like Elon very much. 356 00:20:43,400 --> 00:20:47,080 Speaker 1: I think i'm I think I'm fond of Elon in 357 00:20:47,119 --> 00:20:49,560 Speaker 1: a way that other people are not. Yeah, just because 358 00:20:49,560 --> 00:20:53,399 Speaker 1: I appreciate his visionary work in other sectors. I wish 359 00:20:53,440 --> 00:20:56,080 Speaker 1: his visionary work on behalf of cutting the federal government 360 00:20:56,119 --> 00:20:59,920 Speaker 1: had been as visionary as other stuff he does. Right, 361 00:21:00,320 --> 00:21:03,880 Speaker 1: a little bit, it got certainly got bogged down when 362 00:21:03,920 --> 00:21:06,840 Speaker 1: I wish that that that DOGE had been like, we 363 00:21:06,920 --> 00:21:12,760 Speaker 1: are going to methodically go through, yeah, every single agency 364 00:21:12,760 --> 00:21:17,919 Speaker 1: in this government. So Elon right, did not like the 365 00:21:17,960 --> 00:21:21,440 Speaker 1: way the one Big Beautiful Bill went. He has left 366 00:21:21,440 --> 00:21:23,560 Speaker 1: his work at DOGE. They've already had one blow up 367 00:21:23,640 --> 00:21:26,119 Speaker 1: that seemed to sort of repair a bit because on 368 00:21:26,160 --> 00:21:28,440 Speaker 1: the two hundred and fiftieth anniversary or two hundred fiftieth 369 00:21:28,480 --> 00:21:32,919 Speaker 1: birthday of the Army, Elon seemed like he was hanging around. 370 00:21:33,240 --> 00:21:35,960 Speaker 1: But now he has formed a new political party titled 371 00:21:35,960 --> 00:21:39,080 Speaker 1: the America part This is Time magazine. The former lead 372 00:21:39,440 --> 00:21:41,919 Speaker 1: of the Department of Government Efficiency had promised to do 373 00:21:42,040 --> 00:21:44,600 Speaker 1: just that if President Donald Trump's Big Beautiful Bill passed. 374 00:21:44,680 --> 00:21:47,200 Speaker 1: Musk has been and continues to be a vocal critic 375 00:21:47,200 --> 00:21:48,960 Speaker 1: of the policy bill, arguing that it will cause a 376 00:21:49,200 --> 00:21:52,120 Speaker 1: strategy strategic harm to America on account of the trillions 377 00:21:52,560 --> 00:21:54,520 Speaker 1: of dollars the bill is projected to add to the 378 00:21:54,520 --> 00:21:56,639 Speaker 1: does the country. I feel you, I feel you on 379 00:21:56,680 --> 00:22:00,720 Speaker 1: this Elon Trump had this to say about it. I 380 00:22:00,760 --> 00:22:04,080 Speaker 1: am saddened this untruth. I am saddened to watch Elon 381 00:22:04,119 --> 00:22:07,920 Speaker 1: Musco completely off the rails, essentially becoming a train wreck 382 00:22:08,200 --> 00:22:10,280 Speaker 1: all caps over the past five weeks. He even wants 383 00:22:10,280 --> 00:22:12,399 Speaker 1: to start a third political party, despite the fact that 384 00:22:12,480 --> 00:22:14,720 Speaker 1: they have never succeeded in the United States. The system 385 00:22:14,840 --> 00:22:17,520 Speaker 1: seems not designed for them. Kelly probably has thoughts on this. 386 00:22:17,840 --> 00:22:20,119 Speaker 1: The one thing third parties are good for is the 387 00:22:20,119 --> 00:22:23,000 Speaker 1: creation of complete and total disruption and chaos, and we 388 00:22:23,160 --> 00:22:25,760 Speaker 1: have enough of that. But the radical left Democrats who 389 00:22:25,760 --> 00:22:29,359 Speaker 1: have lost their confidence and their minds. Republicans, on the 390 00:22:29,400 --> 00:22:32,679 Speaker 1: other hand, are a smooth running machine that just masks 391 00:22:32,720 --> 00:22:35,159 Speaker 1: the biggest bill of its kind in the history of 392 00:22:35,200 --> 00:22:37,439 Speaker 1: our country. It is a great bill, but unfortunately for 393 00:22:37,480 --> 00:22:41,320 Speaker 1: Elon it eliminates the ridiculous electric vehicle mandate, which would 394 00:22:41,320 --> 00:22:42,960 Speaker 1: have forced everyone to buy an electric car and a 395 00:22:42,960 --> 00:22:45,199 Speaker 1: short period of time. I have been strongly opposed to 396 00:22:45,200 --> 00:22:47,399 Speaker 1: that from the very beginning. People are now allowed to 397 00:22:47,400 --> 00:22:50,320 Speaker 1: buy whatever they want, gasoline powered hybrids, which are doing 398 00:22:50,440 --> 00:22:55,359 Speaker 1: very well, parents that are pynthetical, or his writing is fantastic, 399 00:22:55,840 --> 00:23:00,040 Speaker 1: or new technologies as they come about, no more, I 400 00:23:00,080 --> 00:23:04,160 Speaker 1: mean mandate. It goes on and on Elon probably, let's see. 401 00:23:04,400 --> 00:23:06,560 Speaker 1: I also thought it inappropriate that a very close friend 402 00:23:06,600 --> 00:23:08,800 Speaker 1: of Elon who was in the space business run NASA, 403 00:23:09,080 --> 00:23:11,480 Speaker 1: when NASA is such a big part of Elon's corporate life. 404 00:23:11,520 --> 00:23:13,479 Speaker 1: My number one charge is to protect the American public. 405 00:23:13,680 --> 00:23:15,600 Speaker 1: So there's a couple things in there about you know, 406 00:23:15,880 --> 00:23:21,240 Speaker 1: great Elon's there's some Elon's conflicts of interest and business, which, 407 00:23:21,280 --> 00:23:26,159 Speaker 1: by the way, existed before all of these All of 408 00:23:26,200 --> 00:23:31,440 Speaker 1: these these conflicts that he points out existed previously. They 409 00:23:31,520 --> 00:23:36,480 Speaker 1: just weren't problematic and they until they switched sides. Also, 410 00:23:36,560 --> 00:23:39,919 Speaker 1: of note, the fact that it's easier to send people 411 00:23:39,960 --> 00:23:43,880 Speaker 1: into lower Earth orbit than to cut federal government spending 412 00:23:44,040 --> 00:23:49,439 Speaker 1: really speaks to the quagmire. There's nothing like cutting the 413 00:23:49,440 --> 00:23:52,119 Speaker 1: federal government spending just sends you back to trying to 414 00:23:52,119 --> 00:23:57,080 Speaker 1: solve the easy problem of getting to Mars. Like right, 415 00:23:57,480 --> 00:24:01,400 Speaker 1: the standards or the standards are easier. I don't think 416 00:24:01,440 --> 00:24:05,200 Speaker 1: this is gonna go well. So, okay, we have seen 417 00:24:05,240 --> 00:24:08,440 Speaker 1: this over and over again. You remember a few years 418 00:24:08,440 --> 00:24:13,000 Speaker 1: ago Andrew Yang started the Forward Party. I had that 419 00:24:13,119 --> 00:24:18,680 Speaker 1: was interesting. I always personally would enjoy being a libertarian 420 00:24:18,760 --> 00:24:21,520 Speaker 1: if they could ever try to actually get elected to 421 00:24:21,640 --> 00:24:24,400 Speaker 1: any A little note on that as well, right, Like 422 00:24:24,800 --> 00:24:30,800 Speaker 1: I just but President Trump is correct. The systems are 423 00:24:30,880 --> 00:24:36,119 Speaker 1: set up to promote the binary and the two party system. 424 00:24:37,200 --> 00:24:41,240 Speaker 1: And I think the only way to get away from this. 425 00:24:41,359 --> 00:24:44,320 Speaker 1: And I think about this a lot, right with restoring 426 00:24:44,359 --> 00:24:48,280 Speaker 1: standards rather than thinking about like the left versus right, 427 00:24:48,400 --> 00:24:51,240 Speaker 1: we try to think about the good faith versus bad 428 00:24:51,320 --> 00:24:54,920 Speaker 1: faith spectrum. And I'm working hard to try to get 429 00:24:54,960 --> 00:24:58,520 Speaker 1: crazy people, I'm both the left and the right to 430 00:24:58,560 --> 00:25:01,560 Speaker 1: step out of the political they were rewarding good face 431 00:25:01,720 --> 00:25:08,600 Speaker 1: arguments versus just theater or extremism or And I work 432 00:25:09,200 --> 00:25:12,879 Speaker 1: even with my Democrat friends on this issue, right, and 433 00:25:12,920 --> 00:25:17,160 Speaker 1: we have discussed how to get to the end goal, 434 00:25:17,280 --> 00:25:21,280 Speaker 1: which is trying to restore standards in politics. So this 435 00:25:22,160 --> 00:25:24,040 Speaker 1: is the thing I spend a lot of time thinking 436 00:25:24,119 --> 00:25:28,320 Speaker 1: and writing and trying to game theory out. And third 437 00:25:28,320 --> 00:25:32,760 Speaker 1: parties are a really, really hard way to go. Oftentimes, 438 00:25:32,800 --> 00:25:36,679 Speaker 1: depending on the state, there is a higher standard for 439 00:25:36,800 --> 00:25:40,560 Speaker 1: ballot access. You also have a donor class and a 440 00:25:40,640 --> 00:25:46,400 Speaker 1: donor system that is largely just comfortable with and aimed 441 00:25:46,560 --> 00:25:50,960 Speaker 1: toward the parties. Then you have the entire don't even 442 00:25:50,960 --> 00:25:56,240 Speaker 1: get me started about the entire soft money just behemoth 443 00:25:56,480 --> 00:26:00,960 Speaker 1: of an industry onto itself, that is, you know, you 444 00:26:01,000 --> 00:26:05,679 Speaker 1: see packs that are used to giving to Republican and Democrats, right, 445 00:26:05,800 --> 00:26:11,280 Speaker 1: and so I tend to think often that one of 446 00:26:11,320 --> 00:26:13,679 Speaker 1: the better ways if you're looking to really shake up 447 00:26:13,720 --> 00:26:18,159 Speaker 1: politics is to pick a party and then try to 448 00:26:18,240 --> 00:26:21,439 Speaker 1: operate within it, right, try to operate and change the 449 00:26:21,480 --> 00:26:24,760 Speaker 1: incidive structure within the party, within the party, which actually 450 00:26:24,800 --> 00:26:28,680 Speaker 1: Elon was trying to do doing the thing. Yes, yes, 451 00:26:28,760 --> 00:26:31,160 Speaker 1: and then and then he realized that the head of 452 00:26:31,200 --> 00:26:35,800 Speaker 1: the Republican Party, you know, they got into a fight 453 00:26:35,840 --> 00:26:39,720 Speaker 1: about it. But but at least they did it quietly, 454 00:26:39,880 --> 00:26:43,560 Speaker 1: you know, so quietly. There are some subtle dudes. Let 455 00:26:43,560 --> 00:26:46,480 Speaker 1: me tell you. When I think subtlety, I think Donald 456 00:26:46,520 --> 00:26:50,040 Speaker 1: trus Lelan. Can I note quickly before we move on 457 00:26:50,080 --> 00:26:52,040 Speaker 1: to our last topic, because Kelly and I will talk 458 00:26:52,080 --> 00:26:55,920 Speaker 1: for hours about this. I'm gonna note quickly a libertarian 459 00:26:55,920 --> 00:27:00,359 Speaker 1: who is succeeding. Yes, Javier Malay. If Elon must and 460 00:27:00,400 --> 00:27:04,560 Speaker 1: Donald Trump had gotten together and Javier malayd this whole country, yeah, 461 00:27:04,560 --> 00:27:08,000 Speaker 1: and federal government, I would have been so happy, because, 462 00:27:08,040 --> 00:27:11,879 Speaker 1: as you say, I would be especially economically happy to 463 00:27:11,880 --> 00:27:13,639 Speaker 1: be a libertarian if we can just hold it together. 464 00:27:13,840 --> 00:27:14,080 Speaker 2: Yes. 465 00:27:14,880 --> 00:27:18,800 Speaker 1: So remember when Javier Malay was elected in Argentina, everyone 466 00:27:18,840 --> 00:27:20,440 Speaker 1: was like, this is the end of the world. Yes, 467 00:27:20,520 --> 00:27:23,680 Speaker 1: he's going to ruin everything. His austerity and deregulation will 468 00:27:23,720 --> 00:27:28,359 Speaker 1: cause chaos and like just poverty everywhere. That's what they 469 00:27:28,400 --> 00:27:31,399 Speaker 1: were still saying about him two weeks ago. Yeah. But 470 00:27:31,600 --> 00:27:35,800 Speaker 1: now it's reported that Argentina's growth in the second quarter 471 00:27:36,080 --> 00:27:41,119 Speaker 1: GDP growth seven point six percent year over year. He 472 00:27:41,160 --> 00:27:45,360 Speaker 1: has also brought down inflation from like twenty one percent 473 00:27:45,480 --> 00:27:50,040 Speaker 1: to one point five. Yeah, and this is an important 474 00:27:50,080 --> 00:27:53,760 Speaker 1: sentence for anyone who is living in an American city 475 00:27:53,760 --> 00:27:56,720 Speaker 1: who would like more housing. Rent has dropped by forty 476 00:27:56,760 --> 00:27:59,400 Speaker 1: percent in real term, and the supply of rental properties 477 00:27:59,400 --> 00:28:03,399 Speaker 1: in Buenos Aara ITTRIS has increased by over three hundred 478 00:28:03,440 --> 00:28:07,399 Speaker 1: percent as a result of Malay abolishing all forms of 479 00:28:07,440 --> 00:28:11,800 Speaker 1: rent control for those of us who heard us talk 480 00:28:11,840 --> 00:28:16,520 Speaker 1: about the mayor candidate, Yes in New York. This is 481 00:28:16,560 --> 00:28:19,879 Speaker 1: the opposite of him. Yes, and is it did the 482 00:28:19,920 --> 00:28:22,960 Speaker 1: thing that the liberals say they want to do, which 483 00:28:23,000 --> 00:28:26,080 Speaker 1: is bringing down the price of the rent. Right. I 484 00:28:26,119 --> 00:28:28,040 Speaker 1: don't know why I'm having their voice, but that's what 485 00:28:28,080 --> 00:28:30,280 Speaker 1: they're trying to do. The rent is too damn high. 486 00:28:30,280 --> 00:28:32,119 Speaker 1: It's too damn Hi. Maybe I was reverting to the 487 00:28:32,440 --> 00:28:35,280 Speaker 1: too damn high guy, and he always he's still my favorite. 488 00:28:35,280 --> 00:28:37,160 Speaker 1: We're going to take a short break and come right 489 00:28:37,200 --> 00:28:42,560 Speaker 1: back with normally. All right, Now, we've got one last 490 00:28:42,600 --> 00:28:45,280 Speaker 1: story from Carol who wrote in Fox News about just 491 00:28:45,280 --> 00:28:48,200 Speaker 1: give me a quick day something, right guy. Carol, by 492 00:28:48,240 --> 00:28:50,920 Speaker 1: the way, she's one of my favorite writers and one 493 00:28:50,960 --> 00:28:54,520 Speaker 1: of my favorite people, but definitely one of my favorite writers. 494 00:28:55,000 --> 00:28:58,040 Speaker 1: She writes, so there are so speaking of the fact 495 00:28:58,040 --> 00:29:00,920 Speaker 1: that there's so many news articles just turning and churning 496 00:29:00,960 --> 00:29:05,280 Speaker 1: and turning and things get lost. She wrote a really, 497 00:29:05,280 --> 00:29:09,959 Speaker 1: really great piece for Fox News about one of the 498 00:29:10,080 --> 00:29:14,920 Speaker 1: Trump cuts is millions in taxpayer funding for a group 499 00:29:15,040 --> 00:29:20,280 Speaker 1: called Springer Nature, a publisher that is a publishing group 500 00:29:20,400 --> 00:29:23,360 Speaker 1: that writes primarily about science. Right, So who is. So 501 00:29:23,400 --> 00:29:25,280 Speaker 1: I'm like already a little annoyed, but then my money 502 00:29:25,320 --> 00:29:27,720 Speaker 1: is going there, I assume I'm going to get more annoyed. 503 00:29:27,960 --> 00:29:31,800 Speaker 1: Oh just you wait, Mary Catherine ham let me tell you. 504 00:29:32,280 --> 00:29:35,600 Speaker 1: As Brian Flood reported at Fox News in late June, 505 00:29:35,760 --> 00:29:39,480 Speaker 1: according to our friend Carol, the German owned Springer Nature 506 00:29:39,680 --> 00:29:43,120 Speaker 1: was forced to issue wait for it, Mary Catherine, Okay, 507 00:29:43,320 --> 00:29:51,360 Speaker 1: two thousand, nine hundred twenty three retractions in twenty twenty 508 00:29:51,360 --> 00:29:55,680 Speaker 1: four alone. Okay, according to recent they're just doing the 509 00:29:55,680 --> 00:29:59,280 Speaker 1: opposite of their job, right, which is they're just writing things, 510 00:29:59,600 --> 00:30:06,040 Speaker 1: making it up, and then being like, JK, let's retract 511 00:30:06,120 --> 00:30:08,320 Speaker 1: that also, and we've paid twenty million for it. 512 00:30:08,440 --> 00:30:08,880 Speaker 2: Oh yeah. 513 00:30:08,920 --> 00:30:12,400 Speaker 1: The publishing giant has also been accused of significantly downplaying 514 00:30:12,560 --> 00:30:17,040 Speaker 1: COVID lab leak theory and censoring content to appease the 515 00:30:17,160 --> 00:30:21,600 Speaker 1: Chinese government. It also has a peer reviewed process that 516 00:30:21,680 --> 00:30:25,840 Speaker 1: critics believe is dominated by woke group things. Well, well, 517 00:30:25,880 --> 00:30:28,600 Speaker 1: well isn't that fas you know, at least we could 518 00:30:28,600 --> 00:30:32,560 Speaker 1: doge that one. Okay, what is the proper role of government? 519 00:30:32,640 --> 00:30:39,520 Speaker 1: It is not to be funding German science publishing basically 520 00:30:39,720 --> 00:30:43,040 Speaker 1: made up stuff. If you're can you imagine we're doing 521 00:30:43,040 --> 00:30:48,600 Speaker 1: almost three thousand retractions. The folks over at CNN's CNN 522 00:30:48,640 --> 00:30:50,440 Speaker 1: are like, damn, we got rookie numbers. You have pumped 523 00:30:50,440 --> 00:30:53,360 Speaker 1: these up. Got to pump these up. Okay, let us 524 00:30:53,560 --> 00:30:55,720 Speaker 1: end there, because Kelly and I will go on forever. 525 00:30:55,800 --> 00:30:58,440 Speaker 1: Santure John our producer, for listening to us. Thank you 526 00:30:58,480 --> 00:31:00,200 Speaker 1: for all of you guys for listening to us. My 527 00:31:00,200 --> 00:31:04,000 Speaker 1: friend Kelly mar Ma of restoring standards where else can 528 00:31:04,040 --> 00:31:05,120 Speaker 1: they find you anywhere? 529 00:31:05,200 --> 00:31:05,360 Speaker 2: Night? 530 00:31:05,440 --> 00:31:10,320 Speaker 1: Okay? Maher on x Twitter and restoring standards dot com 531 00:31:10,320 --> 00:31:14,200 Speaker 1: and restoring standard pac love it yep. Thanks for being 532 00:31:14,240 --> 00:31:17,720 Speaker 1: with us. That ur L for car again was TinyURL 533 00:31:17,800 --> 00:31:21,000 Speaker 1: dot com slash car flood Relief k e r R 534 00:31:21,040 --> 00:31:23,640 Speaker 1: flood Relief. Thanks for joining us on normally normally our 535 00:31:23,680 --> 00:31:26,040 Speaker 1: Tuesdays and Thursdays, and you can subscribe anywhere you get 536 00:31:26,040 --> 00:31:28,880 Speaker 1: your podcasts. Get in touch with us at normally theepod 537 00:31:28,920 --> 00:31:30,920 Speaker 1: at gmail dot com. Thanks for listening and when things 538 00:31:30,960 --> 00:31:32,040 Speaker 1: get weird at normally