1 00:00:00,200 --> 00:00:08,240 Speaker 1: Well, I'm coming to y'all city, saying you a concol 2 00:00:09,560 --> 00:00:15,600 Speaker 1: We all be desire Hi jail and if you want 3 00:00:15,640 --> 00:00:19,640 Speaker 1: a little banging again, come along. Look. The bottom line 4 00:00:19,720 --> 00:00:23,960 Speaker 1: is this, Americans can rest assured that our banking system 5 00:00:24,079 --> 00:00:27,040 Speaker 1: is safe, your deposits are safe. I mean, one of 6 00:00:27,040 --> 00:00:30,920 Speaker 1: the young leaders was talking to me about climate mental health. 7 00:00:31,240 --> 00:00:33,120 Speaker 1: I said, tell me what's going on with your peers 8 00:00:33,640 --> 00:00:37,440 Speaker 1: climate mental health? It is an existential threat? Or do 9 00:00:37,440 --> 00:00:39,680 Speaker 1: you care about climate change? Do you care about the 10 00:00:39,720 --> 00:00:42,080 Speaker 1: future for you, for your children? Do you want to 11 00:00:42,120 --> 00:00:46,360 Speaker 1: know how we can solve it through cool technology? Freedom 12 00:00:46,840 --> 00:00:52,120 Speaker 1: is back in style. Welcome to the revolution. Yeah, I'm 13 00:00:52,200 --> 00:00:57,720 Speaker 1: coming to yall city. You want to play our guns 14 00:00:58,160 --> 00:01:07,520 Speaker 1: and saying you a concisel shows information on freaking news 15 00:01:07,640 --> 00:01:14,759 Speaker 1: and more bold inspired solutions for America, Final News round 16 00:01:14,840 --> 00:01:19,080 Speaker 1: Up and Information Overload. All right, it's happy our time 17 00:01:19,120 --> 00:01:21,600 Speaker 1: here in the Sean Hannity Show. Our number three eight 18 00:01:21,680 --> 00:01:25,120 Speaker 1: hundred nine four one seven, three two six. If you 19 00:01:25,120 --> 00:01:26,760 Speaker 1: want to be part of the program, that's eight hundred 20 00:01:26,800 --> 00:01:31,600 Speaker 1: nine four one. Shawn S e a n By the way, 21 00:01:31,680 --> 00:01:34,640 Speaker 1: if you could, because apparently now if my daughter wants 22 00:01:34,680 --> 00:01:37,880 Speaker 1: to go to Georgetown university where mom went. It's gonna 23 00:01:37,880 --> 00:01:42,839 Speaker 1: cost eighty thousand dollars per year to be a Hoya 24 00:01:42,959 --> 00:01:45,000 Speaker 1: Oya Saxa. So if you had that up, that's about 25 00:01:45,040 --> 00:01:48,280 Speaker 1: three hundred twenty twenty five thousand dollars over four years. 26 00:01:48,280 --> 00:01:50,600 Speaker 1: So then let's see it. At the rate that I'm 27 00:01:50,640 --> 00:01:53,720 Speaker 1: taxed at in New Jersey, both state and then federal, 28 00:01:53,760 --> 00:01:56,880 Speaker 1: I would have to make six hundred thousand dollars just 29 00:01:56,920 --> 00:02:00,080 Speaker 1: to afford to send kid number one to school. And 30 00:02:00,160 --> 00:02:01,920 Speaker 1: if Little Liam wants to go or Daddy went to 31 00:02:01,920 --> 00:02:03,960 Speaker 1: school at the University of Maryland, even though it's a 32 00:02:04,000 --> 00:02:06,880 Speaker 1: state school, that's north of fifty five thousand dollars per 33 00:02:06,960 --> 00:02:10,120 Speaker 1: year as well. So all I'm saying is go out 34 00:02:10,120 --> 00:02:12,200 Speaker 1: and buy my book just for that reason. You don't 35 00:02:12,200 --> 00:02:15,480 Speaker 1: even have to read it, just donate to buy. This 36 00:02:15,520 --> 00:02:19,240 Speaker 1: is my go fund Me radio hour. Okay, come on man. 37 00:02:19,240 --> 00:02:21,359 Speaker 1: As the name of the book, The Truth behind Joe 38 00:02:21,360 --> 00:02:24,280 Speaker 1: Biden's Terrible, horrible, no good, very bad Presidency. It's actually 39 00:02:24,360 --> 00:02:26,600 Speaker 1: quite fun and informative. I think you'll like it. You 40 00:02:26,680 --> 00:02:29,120 Speaker 1: look at the reviews on Amazon. I'm shocked, you know. 41 00:02:29,240 --> 00:02:30,760 Speaker 1: I thought the trolls would come in and just bring 42 00:02:30,800 --> 00:02:32,639 Speaker 1: that baby down. But we're getting like four point seven 43 00:02:32,639 --> 00:02:34,960 Speaker 1: out of five stars. We'll take it. That's my first book. 44 00:02:34,960 --> 00:02:36,160 Speaker 1: I didn't think I could write more than like ae 45 00:02:36,160 --> 00:02:38,639 Speaker 1: thousand word column, but hey, sixty five thousand dollars or 46 00:02:38,720 --> 00:02:41,079 Speaker 1: words just popped out of my little head. And there 47 00:02:41,080 --> 00:02:43,560 Speaker 1: you go. So already working on book number two before 48 00:02:43,560 --> 00:02:46,080 Speaker 1: I get to Carol and EJ and hang on just 49 00:02:46,120 --> 00:02:48,120 Speaker 1: for a second, Okay, I want to get to Josh 50 00:02:48,280 --> 00:02:50,880 Speaker 1: in California because I think he has an important message 51 00:02:50,880 --> 00:02:55,320 Speaker 1: here regarding the impending Trump indictment. At least the president 52 00:02:55,320 --> 00:02:58,079 Speaker 1: thinks that he's going to get arrested tomorrow for a completely, 53 00:02:58,120 --> 00:03:01,000 Speaker 1: for lack of a better term, trumped up charge, ridiculous 54 00:03:01,040 --> 00:03:04,760 Speaker 1: political weaponization. Every political analyst that you speak to that 55 00:03:05,200 --> 00:03:07,760 Speaker 1: isn't biased says that this thing is an absolute joke. 56 00:03:07,760 --> 00:03:10,280 Speaker 1: But anyway, Josh, just go ahead. As far as the 57 00:03:10,360 --> 00:03:13,600 Speaker 1: reaction to a possible arrest and what you hope does 58 00:03:13,680 --> 00:03:17,400 Speaker 1: not happen, well, thanks for the call, appreciate that. I 59 00:03:17,480 --> 00:03:19,760 Speaker 1: just wanted to echo what a couple of the previous 60 00:03:19,800 --> 00:03:23,720 Speaker 1: callers were saying about the protests being peaceful, but there'll 61 00:03:23,720 --> 00:03:26,079 Speaker 1: probably be some instigators mixed into the bunch, and they'll 62 00:03:26,080 --> 00:03:29,560 Speaker 1: probably be wearing MAGA hats and Trump gears. So I'd 63 00:03:29,639 --> 00:03:31,760 Speaker 1: like to take it a step further and say, obviously, 64 00:03:31,800 --> 00:03:34,560 Speaker 1: if you're a peacefully protesting film everything, and if you 65 00:03:34,600 --> 00:03:37,640 Speaker 1: see an instigator doing something the legal and you're capable, 66 00:03:38,720 --> 00:03:41,000 Speaker 1: maybe with a couple of fellows, do a citizen's arrest, 67 00:03:41,040 --> 00:03:43,600 Speaker 1: hold them down, open authorities, bring them there, show them 68 00:03:43,600 --> 00:03:46,080 Speaker 1: the evidence, and then maybe we can expose these people 69 00:03:46,080 --> 00:03:48,280 Speaker 1: because they all have backstories, and I guarantee you their 70 00:03:48,320 --> 00:03:50,960 Speaker 1: backstory doesn't have anything to do with being a Trump supporter, 71 00:03:51,040 --> 00:03:54,000 Speaker 1: so we can kind of continue reiterating this narrative that 72 00:03:54,080 --> 00:03:57,680 Speaker 1: these instigators are mostly from the left and not the right. 73 00:03:57,760 --> 00:03:59,600 Speaker 1: So I would just that's just a thought. I thought 74 00:03:59,640 --> 00:04:02,160 Speaker 1: I might have the might, the mate might work to 75 00:04:02,320 --> 00:04:05,200 Speaker 1: bring some of these agitators that are pretending to be 76 00:04:05,280 --> 00:04:07,400 Speaker 1: on one side actually on the other side. They're always 77 00:04:07,400 --> 00:04:09,240 Speaker 1: from out of state, are aren't they? Josh. It's never like, oh, 78 00:04:09,280 --> 00:04:11,600 Speaker 1: this just was like a local uprising that happened. They 79 00:04:11,600 --> 00:04:13,640 Speaker 1: have to be shipped in from somewhere and being paid 80 00:04:13,640 --> 00:04:16,680 Speaker 1: by someone. So appreciate the call. Thanks so much common 81 00:04:16,680 --> 00:04:18,520 Speaker 1: sense here on the Sean Hannity Show. Hey you speaking 82 00:04:18,520 --> 00:04:21,640 Speaker 1: of common sense. Let's bringing Carol Roth. She's an entrepreneur, 83 00:04:21,680 --> 00:04:25,039 Speaker 1: an author of the War on Small Business, How government 84 00:04:25,120 --> 00:04:27,640 Speaker 1: used the pandemic to crush the backbone of Americas. She 85 00:04:27,760 --> 00:04:30,560 Speaker 1: wrote this before it was fashionable to say and do so. 86 00:04:30,720 --> 00:04:32,159 Speaker 1: I know this is a fact because I've read the 87 00:04:32,160 --> 00:04:35,320 Speaker 1: book way back when. And EJ. And Tony research fellow 88 00:04:35,480 --> 00:04:39,279 Speaker 1: Regional Economics Center for Data Analysis for the Heritage Foundation, 89 00:04:39,640 --> 00:04:44,080 Speaker 1: and they're here to discuss the economy and perhaps looming 90 00:04:44,240 --> 00:04:46,680 Speaker 1: crash that may be happening as a result of Joe 91 00:04:46,720 --> 00:04:53,520 Speaker 1: Biden's seven trillion dollar budget that takes more of your money. Boy, 92 00:04:53,600 --> 00:04:56,279 Speaker 1: should we be putting fourth budgets? I'll go to you first, Carol. 93 00:04:57,040 --> 00:04:59,719 Speaker 1: North of seven trillion dollars considering everything that we're already 94 00:04:59,720 --> 00:05:03,359 Speaker 1: seeing in terms of inflation, didn't it didn't all the 95 00:05:03,400 --> 00:05:06,200 Speaker 1: spending already to this point get us in this mess 96 00:05:06,240 --> 00:05:09,599 Speaker 1: that we're in now. Yeah, it's funny, Joe. I'm old school. 97 00:05:09,600 --> 00:05:11,240 Speaker 1: When I think of the word budget, I think of 98 00:05:11,440 --> 00:05:15,520 Speaker 1: matching up your income with your expenditures, not just coming 99 00:05:15,640 --> 00:05:17,479 Speaker 1: up with a wish list of here are all the 100 00:05:17,520 --> 00:05:19,279 Speaker 1: things that I'd like to spend money on and I 101 00:05:19,279 --> 00:05:21,719 Speaker 1: don't really care about how I'm going to pay for it, 102 00:05:22,200 --> 00:05:26,200 Speaker 1: but you know, proposing seven trillion dollars, and particularly when 103 00:05:26,200 --> 00:05:31,600 Speaker 1: there's no emergency quote unquote emergency measures involved, it's really 104 00:05:32,080 --> 00:05:35,200 Speaker 1: financial destruction for the United States. You know, if you 105 00:05:35,240 --> 00:05:38,960 Speaker 1: go back and you look at pre COVID spending, still 106 00:05:39,000 --> 00:05:43,000 Speaker 1: a crazy amount. We were spending four point four trillion dollars. 107 00:05:43,040 --> 00:05:47,360 Speaker 1: The amount that's being proposed is fifty five percent higher 108 00:05:47,400 --> 00:05:50,599 Speaker 1: than that. The deficit that they're looking to run is 109 00:05:50,640 --> 00:05:53,839 Speaker 1: something on the order of ninety percent of our pre 110 00:05:53,960 --> 00:05:57,560 Speaker 1: COVID deficits. And you know, the timing of it is 111 00:05:57,600 --> 00:06:00,359 Speaker 1: just really kind of thumbing. The knows that the the 112 00:06:00,400 --> 00:06:05,919 Speaker 1: Fed is trying to quell demand. The government is saying, well, 113 00:06:06,160 --> 00:06:08,040 Speaker 1: it's not going to come from us. We're just going 114 00:06:08,080 --> 00:06:11,400 Speaker 1: to keep spending, and anything they can't pay for, as 115 00:06:11,440 --> 00:06:14,520 Speaker 1: the Federal Reserve has been raising interest rates, is going 116 00:06:14,600 --> 00:06:19,400 Speaker 1: to be financed at higher interest rates. So unfortunately, everybody 117 00:06:19,480 --> 00:06:22,080 Speaker 1: is swimming in their own direction. And the people who 118 00:06:22,120 --> 00:06:25,640 Speaker 1: are getting crushed as usual, the middle and working class 119 00:06:25,800 --> 00:06:28,480 Speaker 1: and EJ and great points Carroll. What we're seeing now 120 00:06:28,520 --> 00:06:31,320 Speaker 1: as far as inflation it's not cooling off, right. We're 121 00:06:31,320 --> 00:06:34,159 Speaker 1: supposed to be well below six percent by now. It 122 00:06:34,279 --> 00:06:36,880 Speaker 1: was one point four percent. People may forget when Donald 123 00:06:36,920 --> 00:06:39,440 Speaker 1: Trump left office and then shot above nine and then 124 00:06:39,440 --> 00:06:40,960 Speaker 1: once it dropped a little bit, then you had the 125 00:06:41,000 --> 00:06:43,640 Speaker 1: media declaring that, hey, victory, We're going in the right direction. 126 00:06:43,720 --> 00:06:47,239 Speaker 1: And now it's stubbornly still in the six percent range. 127 00:06:47,279 --> 00:06:50,280 Speaker 1: So what needs to be done here in order to 128 00:06:50,320 --> 00:06:53,680 Speaker 1: bring down interest races? I'm sorry, inflation? Do interest race 129 00:06:53,760 --> 00:06:57,560 Speaker 1: have to be raised? And what danger is there around 130 00:06:57,600 --> 00:07:01,800 Speaker 1: doing that? Again? Well, Joe, as long as this federal 131 00:07:01,880 --> 00:07:05,119 Speaker 1: government is going to spend like drunken sailors, we absolutely 132 00:07:05,440 --> 00:07:07,720 Speaker 1: need interest rates to go up because we need to 133 00:07:07,760 --> 00:07:11,400 Speaker 1: counteract what the Treasury is doing by the harsh action 134 00:07:11,760 --> 00:07:14,679 Speaker 1: at the FED. And if we did not have government 135 00:07:14,760 --> 00:07:17,120 Speaker 1: spending like this, then we would not need to have 136 00:07:17,480 --> 00:07:20,119 Speaker 1: such high interest rates. But the fact of the matter 137 00:07:20,240 --> 00:07:22,280 Speaker 1: is you can't have your cake and eat it too. 138 00:07:22,520 --> 00:07:25,680 Speaker 1: If government is going to continue with their spendthrift ways, 139 00:07:25,920 --> 00:07:29,120 Speaker 1: if we're going to continue with these effectively zero interest 140 00:07:29,160 --> 00:07:31,160 Speaker 1: rate policies, and then we're going to continue to have 141 00:07:31,280 --> 00:07:34,200 Speaker 1: inflation and EJ just to follow up as you're real fast. 142 00:07:34,480 --> 00:07:37,200 Speaker 1: Republicans control the House now and Kevin McCarthy as the gavel. 143 00:07:37,640 --> 00:07:39,680 Speaker 1: This is a non starter, right because obviously the House 144 00:07:39,720 --> 00:07:43,040 Speaker 1: would never dream of passing a budget like this, right, Oh, 145 00:07:43,320 --> 00:07:45,320 Speaker 1: I would hope so. But I mean, how many times 146 00:07:45,320 --> 00:07:48,720 Speaker 1: has the Republican Party let conservatives down in the past. 147 00:07:48,840 --> 00:07:51,000 Speaker 1: Have to keep the political pressure on these people to 148 00:07:51,080 --> 00:07:54,160 Speaker 1: do the right thing, and Carol back to you. Let's 149 00:07:54,160 --> 00:07:58,040 Speaker 1: talk about Janet Yellen, right, who, as you've noted on Twitter, 150 00:07:58,160 --> 00:08:02,040 Speaker 1: she's been FED chair, she's been Treasury secretary, and she's 151 00:08:02,080 --> 00:08:07,040 Speaker 1: almost never right right. So why does this person continue 152 00:08:07,280 --> 00:08:09,240 Speaker 1: to fail upwards? And why should we listen to her 153 00:08:09,280 --> 00:08:11,120 Speaker 1: anymore when she's been wrong about so many things in 154 00:08:11,160 --> 00:08:13,960 Speaker 1: the past. Man, if I had a dollar for every 155 00:08:14,040 --> 00:08:16,480 Speaker 1: prediction that Janet Yellow made that was wrong, I'd be 156 00:08:16,560 --> 00:08:19,680 Speaker 1: really really welcome, now, Joe, I mean, listen, this is 157 00:08:19,680 --> 00:08:23,480 Speaker 1: a person who said that inflation wasn't going to happen, 158 00:08:23,680 --> 00:08:27,040 Speaker 1: and then inflation was going to be transitory. She missed 159 00:08:27,040 --> 00:08:30,840 Speaker 1: the opportunity to raise rates at the Fed. She wanted 160 00:08:30,880 --> 00:08:34,280 Speaker 1: to peek into bank accounts that had six hundred dollars 161 00:08:34,280 --> 00:08:36,079 Speaker 1: in them, because you know, you have to go after 162 00:08:36,120 --> 00:08:40,560 Speaker 1: those billionaires with these six hundred dollars accounts. You know, 163 00:08:40,720 --> 00:08:44,160 Speaker 1: now she's a somebody pulled out a piece where she 164 00:08:44,200 --> 00:08:48,119 Speaker 1: said she wouldn't expect seeing another financial crisis in her lifetime. 165 00:08:48,200 --> 00:08:52,080 Speaker 1: Like it's just she's like George Costanza an opposite day. 166 00:08:52,920 --> 00:08:56,040 Speaker 1: I'll just do the opposite of whatever Janet Yellen says. 167 00:08:56,080 --> 00:09:01,120 Speaker 1: And the craziest part is in between her stints, adds fedgechair. 168 00:09:01,400 --> 00:09:04,360 Speaker 1: And then as Treasury Secretary, she went out and she 169 00:09:04,480 --> 00:09:08,240 Speaker 1: gave speeches to Wall Street. She netted about a little 170 00:09:08,280 --> 00:09:12,079 Speaker 1: over seven million dollars. So imagine being on the speaking 171 00:09:12,120 --> 00:09:16,360 Speaker 1: circuit getting seven million dollars for being wrong all the time, Like, 172 00:09:16,400 --> 00:09:18,920 Speaker 1: how do I get some of that sweet gig money? 173 00:09:19,600 --> 00:09:21,760 Speaker 1: You know, maybe I could be right from time to 174 00:09:21,840 --> 00:09:26,240 Speaker 1: time and get a few of those dollars. It's absolutely frustrating. 175 00:09:26,320 --> 00:09:30,200 Speaker 1: And you know, unfortunately President Biden has a cabinet, but 176 00:09:30,280 --> 00:09:32,640 Speaker 1: it looks a lot more like a junk drawer in 177 00:09:32,640 --> 00:09:34,719 Speaker 1: my opinion. Now it's so true, e j. I mean, 178 00:09:35,000 --> 00:09:37,520 Speaker 1: it's one thing you can look at Joe Biden and say, okay, 179 00:09:37,520 --> 00:09:40,640 Speaker 1: this is obviously somebody who was also failed upwards and 180 00:09:41,080 --> 00:09:44,280 Speaker 1: to spend money like the way he wants to while 181 00:09:44,320 --> 00:09:46,439 Speaker 1: inflation is as high as it is and the economy 182 00:09:46,480 --> 00:09:48,440 Speaker 1: is as shaky as it is. Obviously that's the wrong 183 00:09:48,480 --> 00:09:51,040 Speaker 1: decision on crime time and again he's out there saying 184 00:09:51,040 --> 00:09:53,760 Speaker 1: that Republicans wanted to fund the police, like no, I 185 00:09:53,800 --> 00:09:56,280 Speaker 1: mean talk about lies and blatant lies. That one falls 186 00:09:56,280 --> 00:09:58,760 Speaker 1: into the latter category. And obviously we see what's happening 187 00:09:58,760 --> 00:10:01,120 Speaker 1: at the US southern border where one hundred and eighty 188 00:10:01,120 --> 00:10:04,280 Speaker 1: two people now have been apprehended that are happening to 189 00:10:04,280 --> 00:10:06,920 Speaker 1: be on the FBI terror watch list, right, and obviously 190 00:10:06,920 --> 00:10:10,280 Speaker 1: that all the fentanyl coming in and our resources, particular 191 00:10:10,320 --> 00:10:13,680 Speaker 1: from a healthcare perspective, are being completely exhausted. I could 192 00:10:13,679 --> 00:10:16,200 Speaker 1: go down the line. Oh yeah, education test scores are 193 00:10:16,200 --> 00:10:19,240 Speaker 1: now at a thirty year low for American students. Yet 194 00:10:19,400 --> 00:10:21,200 Speaker 1: you look at the cabinet around him, then you say, well, 195 00:10:21,200 --> 00:10:23,760 Speaker 1: at least maybe there's capable people around that could help 196 00:10:23,800 --> 00:10:26,160 Speaker 1: steer the ship. But all I see is Pee boota 197 00:10:26,200 --> 00:10:28,840 Speaker 1: gedge over a transportation He was the mayor of South 198 00:10:28,880 --> 00:10:31,120 Speaker 1: in Indiana. Now he's running a scrolling department like that 199 00:10:31,160 --> 00:10:33,000 Speaker 1: and not running it very well. Based on everything we've 200 00:10:33,000 --> 00:10:36,079 Speaker 1: seen in terms of the FAA airlines not running the 201 00:10:36,120 --> 00:10:39,000 Speaker 1: way they should, the supply chain crisis. Obviously, what happened 202 00:10:39,000 --> 00:10:41,280 Speaker 1: in East Palestine. He took weeks before he went out there. 203 00:10:41,559 --> 00:10:45,440 Speaker 1: You see others as like the Energy Secretary, for example, 204 00:10:45,440 --> 00:10:47,440 Speaker 1: in Jennifer Granholm, who can't even tell you how many 205 00:10:48,400 --> 00:10:51,680 Speaker 1: barrels of oil the US produces every day, and what 206 00:10:51,800 --> 00:10:53,920 Speaker 1: was her qualifications? I guess she was governor of Michigan 207 00:10:53,920 --> 00:10:55,679 Speaker 1: and was on CNN saying bad things about Trump, so 208 00:10:55,720 --> 00:10:57,640 Speaker 1: I guess that makes it okay. And then Kamala Harris, 209 00:10:57,640 --> 00:11:01,480 Speaker 1: obviously as our vice president, was a diversity higher if 210 00:11:01,520 --> 00:11:04,880 Speaker 1: we've ever seen one. So that's the thing, right, A 211 00:11:04,880 --> 00:11:07,000 Speaker 1: lot of what goes on in the economy is about 212 00:11:07,000 --> 00:11:11,240 Speaker 1: perception and optics, and in this case, it just doesn't 213 00:11:11,240 --> 00:11:13,880 Speaker 1: seem like the people that are in charge are giving 214 00:11:14,360 --> 00:11:18,480 Speaker 1: or inspiring much confidence right now. But Joe, why should 215 00:11:18,600 --> 00:11:21,120 Speaker 1: they inspire any confidence? It's you know, there was a 216 00:11:21,160 --> 00:11:24,200 Speaker 1: report that came out last year that showed how little 217 00:11:24,200 --> 00:11:29,040 Speaker 1: private sector works experienced. Biden's cabinet has the median amount 218 00:11:29,080 --> 00:11:31,800 Speaker 1: of work experience among his cabinet was something like only 219 00:11:31,840 --> 00:11:34,600 Speaker 1: two years in the private sector. I mean These people 220 00:11:34,640 --> 00:11:38,600 Speaker 1: have never had jobs where results mattered, and so we 221 00:11:38,640 --> 00:11:41,360 Speaker 1: should not be surprised now when their results are terrible. 222 00:11:42,040 --> 00:11:44,280 Speaker 1: And Carol, do you think we are headed towards another 223 00:11:44,320 --> 00:11:46,200 Speaker 1: I mean, two thousand and eight was obviously the worst 224 00:11:46,240 --> 00:11:48,440 Speaker 1: thing we've seen since the Great Depression? But are we 225 00:11:48,559 --> 00:11:51,280 Speaker 1: headed towards a crash given it just seems like there's 226 00:11:51,360 --> 00:11:53,199 Speaker 1: so many there's so much smoke now that seems to 227 00:11:53,280 --> 00:11:56,240 Speaker 1: be pushing things in that direction. Or are some of 228 00:11:56,240 --> 00:12:01,080 Speaker 1: these smaller regional banks failing and isolated? Thing that's happening 229 00:12:01,080 --> 00:12:03,920 Speaker 1: and it won't have an overall huge effect on the economy. 230 00:12:04,880 --> 00:12:07,200 Speaker 1: You know how in the movie Airplane, which is one 231 00:12:07,240 --> 00:12:10,040 Speaker 1: of my favorite movies all time, they picked the wrong 232 00:12:10,160 --> 00:12:13,920 Speaker 1: week to quit Sniff and Glue, the second in a week, 233 00:12:13,960 --> 00:12:17,160 Speaker 1: wrong week to pick sniff and Glue. You know, it's 234 00:12:17,320 --> 00:12:20,960 Speaker 1: it's not a great trajectory. We have different issues that 235 00:12:21,000 --> 00:12:23,600 Speaker 1: are happening. You know that the issues that we're going 236 00:12:23,640 --> 00:12:26,439 Speaker 1: on at Silicon Valley Bank are different than the ones 237 00:12:26,480 --> 00:12:30,520 Speaker 1: that we're going on at Signature and Silk Dates. It's 238 00:12:30,559 --> 00:12:33,680 Speaker 1: different than what's going on at Credit Suite. I think 239 00:12:33,720 --> 00:12:36,920 Speaker 1: the big issue here that underpins us all is that 240 00:12:37,040 --> 00:12:40,480 Speaker 1: the FED put too much money into the system. There 241 00:12:40,520 --> 00:12:43,679 Speaker 1: was too much intervention, and we knew we were going 242 00:12:43,720 --> 00:12:45,480 Speaker 1: to have a to pay the price. I mean, it 243 00:12:45,520 --> 00:12:48,720 Speaker 1: was historic, nine trillion dollars that they blew up their 244 00:12:48,760 --> 00:12:50,400 Speaker 1: balance sheet to you, and to think that we were 245 00:12:50,440 --> 00:12:54,560 Speaker 1: going to get out without any repercussions is silly. And 246 00:12:54,600 --> 00:12:59,520 Speaker 1: I think we're marching on this trajectory towards this consolidation. 247 00:12:59,640 --> 00:13:03,000 Speaker 1: This consolidation we saw it, you know, with the big 248 00:13:03,040 --> 00:13:06,000 Speaker 1: businesses during COVID. Now we're going to We saw some 249 00:13:06,160 --> 00:13:09,959 Speaker 1: of that after the Great Recession financial crisis with the banks. 250 00:13:10,000 --> 00:13:12,120 Speaker 1: I think we're going to further see it. If you 251 00:13:12,240 --> 00:13:15,520 Speaker 1: go back to the Great Recession Financial crisis and you 252 00:13:15,559 --> 00:13:18,080 Speaker 1: look in sort of the early days, you know, you 253 00:13:18,200 --> 00:13:23,520 Speaker 1: had New Century Financial that collapse and an Indiemac and 254 00:13:23,559 --> 00:13:26,079 Speaker 1: then you know Bear Sterns, and then you know it's 255 00:13:26,120 --> 00:13:28,760 Speaker 1: kind of a while before you got Lehman and some 256 00:13:28,840 --> 00:13:32,360 Speaker 1: other things. So the idea that you know, we've done 257 00:13:32,520 --> 00:13:36,240 Speaker 1: all of this messing around with the economy via via 258 00:13:36,400 --> 00:13:40,440 Speaker 1: FED mandates, UM and policies, and that we're not going 259 00:13:40,480 --> 00:13:44,480 Speaker 1: to have more consequences, I think is um you know, 260 00:13:44,520 --> 00:13:47,920 Speaker 1: probably naive the way that they come about, you know, 261 00:13:48,080 --> 00:13:51,920 Speaker 1: is it just you know, a a harder recession, you know, 262 00:13:52,080 --> 00:13:54,320 Speaker 1: or does it end up with more of a banking 263 00:13:54,400 --> 00:13:58,400 Speaker 1: crisis or you know, something else on a geopolitical spectrum, 264 00:13:58,600 --> 00:13:59,760 Speaker 1: you know, I think that there are a lot of 265 00:13:59,760 --> 00:14:02,200 Speaker 1: fact actors that play in But to think that we 266 00:14:02,240 --> 00:14:05,200 Speaker 1: are out of the weeds because you know, the market 267 00:14:05,280 --> 00:14:07,920 Speaker 1: kind of settled down today, I'd think again would be 268 00:14:08,040 --> 00:14:10,320 Speaker 1: naive to say I couldn't agree more In EJ. Last 269 00:14:10,360 --> 00:14:13,120 Speaker 1: question to you, I only have about sixty seconds. We've 270 00:14:13,160 --> 00:14:16,400 Speaker 1: seen some of the media and obviously the President as 271 00:14:16,440 --> 00:14:20,600 Speaker 1: Press secretary blaming this whole situation, particularly with Silicon Valley 272 00:14:20,600 --> 00:14:23,720 Speaker 1: Bank and signature on Donald Trump, who hasn't been in 273 00:14:23,760 --> 00:14:26,400 Speaker 1: office for twenty six months and Democrats have controlled the House, 274 00:14:26,480 --> 00:14:29,160 Speaker 1: the Senate and the Oval Office. How does that work exactly? 275 00:14:29,200 --> 00:14:31,600 Speaker 1: Because they make the argument, well, if Trump didn't decrease 276 00:14:31,680 --> 00:14:34,720 Speaker 1: these regulations, then this would have never happened. But that's 277 00:14:34,760 --> 00:14:38,320 Speaker 1: not the reason why this happened. Correct, well, correct, But 278 00:14:38,560 --> 00:14:41,080 Speaker 1: the reason it works is because it's politically convenient. It 279 00:14:41,360 --> 00:14:44,080 Speaker 1: doesn't work based on the facts. What the facts are 280 00:14:44,400 --> 00:14:47,400 Speaker 1: is that the regulation rollback, which President Trumps signed was 281 00:14:47,440 --> 00:14:50,400 Speaker 1: passed by a bipartisan Congress, and what it did is 282 00:14:50,400 --> 00:14:54,200 Speaker 1: it rolled back a regulation which doesn't even apply to 283 00:14:54,240 --> 00:14:57,560 Speaker 1: the Silicon Valley Bank collapsed today. In fact, even if 284 00:14:57,600 --> 00:15:00,720 Speaker 1: Silicon Valley Bank had been subject to the masher and 285 00:15:00,880 --> 00:15:04,160 Speaker 1: more stringent regulations which the big banks are, it would 286 00:15:04,160 --> 00:15:06,200 Speaker 1: have passed with flying colors. In fact, it would have 287 00:15:06,200 --> 00:15:09,320 Speaker 1: done even better, most likely than the larger and better 288 00:15:09,360 --> 00:15:13,120 Speaker 1: capitalized banks, because the things that that regulation tests for 289 00:15:13,400 --> 00:15:15,800 Speaker 1: were not what caused s v B to collapse in 290 00:15:15,800 --> 00:15:18,760 Speaker 1: the first place. That's exactly right, just like in East Palestine, 291 00:15:18,800 --> 00:15:21,360 Speaker 1: that was Trump's fault too. It's amazing what they could blame, 292 00:15:21,680 --> 00:15:23,440 Speaker 1: not a guy who hasn't been in office for so long. 293 00:15:23,480 --> 00:15:25,520 Speaker 1: When it comes to inflation, crime, you name it, they 294 00:15:25,600 --> 00:15:27,960 Speaker 1: do it anyway. Hey, Carol, ej thanks so much for 295 00:15:28,040 --> 00:15:29,880 Speaker 1: joining us. Great tag team, and we'll have you back 296 00:15:29,920 --> 00:15:33,680 Speaker 1: real soon. Thanks Je, Thank you, Joe. Content for Sean 297 00:15:33,760 --> 00:15:35,800 Speaker 1: Hannity back with much more, including your phone calls eight 298 00:15:35,920 --> 00:15:38,280 Speaker 1: hundred nine four one seven three two six eight hundred 299 00:15:38,360 --> 00:15:43,400 Speaker 1: nine for one Sean in just a moment that your 300 00:15:43,400 --> 00:15:47,360 Speaker 1: country news it back. Okay. A couple of angry tweets 301 00:15:47,480 --> 00:15:50,760 Speaker 1: when we played Mariah Carey earlier. Who could be angry 302 00:15:50,800 --> 00:15:54,880 Speaker 1: at her? So lovely? What a voice? But there they 303 00:15:54,880 --> 00:15:57,600 Speaker 1: were trolls. Most people actually found it funny. So the 304 00:15:57,640 --> 00:16:01,120 Speaker 1: social media polling is in and they like the conch selections. 305 00:16:01,120 --> 00:16:04,720 Speaker 1: As far as the music is concerned, anyway, I'm gonna 306 00:16:04,760 --> 00:16:07,240 Speaker 1: tell you, I don't think they're angry about Mariah. They're 307 00:16:07,240 --> 00:16:11,000 Speaker 1: angry about you singing with Mariah. Oh right, that was 308 00:16:11,040 --> 00:16:13,200 Speaker 1: a lot, Joe and I love you. But holy smokes, 309 00:16:13,280 --> 00:16:15,640 Speaker 1: Well that's a good point. You can't step on her, right. 310 00:16:15,680 --> 00:16:17,440 Speaker 1: I always do that with my wife Linda. Whenever she 311 00:16:17,480 --> 00:16:19,880 Speaker 1: sings in the car and she sings loudly, I'll say 312 00:16:19,960 --> 00:16:22,960 Speaker 1: who sings this song? And she'll say, oh, Mariah carry 313 00:16:22,960 --> 00:16:26,160 Speaker 1: I'll say, let's keep it that way. That's not nice. 314 00:16:26,280 --> 00:16:29,560 Speaker 1: Oh you know, haven't you ever seen an identity thief? No? 315 00:16:29,680 --> 00:16:31,800 Speaker 1: I never have. What is it? Oh my gosh, you 316 00:16:31,920 --> 00:16:36,080 Speaker 1: have to see it. It's um, it's with Jason Bateman. 317 00:16:36,560 --> 00:16:38,240 Speaker 1: There's a whole singing in the car. See, I'm gonna 318 00:16:38,240 --> 00:16:40,320 Speaker 1: send it to you. All right, it's done, it's done, 319 00:16:40,360 --> 00:16:42,480 Speaker 1: Thank you, Linda. We have to talk in the after 320 00:16:42,560 --> 00:16:45,040 Speaker 1: this next break. I look forward to absolutely Joe Concha 321 00:16:45,080 --> 00:16:49,080 Speaker 1: and for Sean, Hannity, Linda and Conch a little tango 322 00:16:49,240 --> 00:16:52,400 Speaker 1: that's next. I love John Cougar again, we go back 323 00:16:52,400 --> 00:16:56,120 Speaker 1: to the eighties. But he was John Cougar Mellencamp. I 324 00:16:56,160 --> 00:16:59,120 Speaker 1: think after being John Cougar like the other name, like 325 00:16:59,160 --> 00:17:01,480 Speaker 1: almost like he got arriat or something, you know what 326 00:17:01,480 --> 00:17:02,960 Speaker 1: I mean. When he first came up the scene, he 327 00:17:03,040 --> 00:17:04,960 Speaker 1: was John Cougar. Then the Mellencamp just kind of was 328 00:17:04,960 --> 00:17:09,280 Speaker 1: added after the fact, like Jackie on Ass Kennedy Schlausburg. Right. 329 00:17:09,359 --> 00:17:11,720 Speaker 1: I don't know, it's maybe my memory is failing me 330 00:17:11,760 --> 00:17:13,520 Speaker 1: on this one call and then correct me if you 331 00:17:13,600 --> 00:17:15,639 Speaker 1: like eight hundred nine one seven three two six eight 332 00:17:15,720 --> 00:17:18,200 Speaker 1: hundred nine for one, Sean is your number. Let's get 333 00:17:18,200 --> 00:17:23,240 Speaker 1: to John in Houston. John, you empathize or sympathize with 334 00:17:23,320 --> 00:17:28,480 Speaker 1: me on college prices? Uh, maybe a little bit of both, Okay. 335 00:17:28,520 --> 00:17:31,080 Speaker 1: But the reason I called was just, you know, a 336 00:17:31,200 --> 00:17:34,600 Speaker 1: dad with post college experience. My daughter went to one 337 00:17:34,640 --> 00:17:37,760 Speaker 1: of I don't know, let's call it the big fifteen universities, 338 00:17:37,880 --> 00:17:40,240 Speaker 1: start at Stanford or whatever, and worked your way down 339 00:17:40,840 --> 00:17:44,520 Speaker 1: and as I think as a family, we were kind 340 00:17:44,520 --> 00:17:49,240 Speaker 1: of disappointed with just the whole school experience. It was 341 00:17:49,560 --> 00:17:52,520 Speaker 1: absolutely seventy thousand dollars a year and a little more 342 00:17:52,560 --> 00:17:55,600 Speaker 1: there at the end. Wow. And I guess you know 343 00:17:55,640 --> 00:17:58,240 Speaker 1: what I would say to anybody who has a student 344 00:17:58,280 --> 00:18:01,320 Speaker 1: in the audience, it's a sophomore, junior, or a senior 345 00:18:01,359 --> 00:18:08,520 Speaker 1: that's high achieving, do not be enticed. You know, you 346 00:18:08,640 --> 00:18:12,120 Speaker 1: go to these college visits, your kid is a great student, 347 00:18:12,240 --> 00:18:14,439 Speaker 1: and you're really excited, and you think, man if I 348 00:18:14,440 --> 00:18:16,760 Speaker 1: can get them into one of these big fifteen schools, 349 00:18:17,200 --> 00:18:20,320 Speaker 1: their future is going to be set. I don't. I 350 00:18:20,359 --> 00:18:22,439 Speaker 1: don't know about that. I've got other kids that are 351 00:18:22,440 --> 00:18:27,440 Speaker 1: in state schools that are quality achievers. They make a's, 352 00:18:27,600 --> 00:18:30,480 Speaker 1: and I really believe that experience is more well rounded. 353 00:18:31,480 --> 00:18:34,359 Speaker 1: And I think, you know, if I could redo the 354 00:18:34,480 --> 00:18:37,720 Speaker 1: first student all over again, I would absolutely do it differently. 355 00:18:37,760 --> 00:18:40,359 Speaker 1: And I just encourage everybody to look for the value 356 00:18:40,400 --> 00:18:43,199 Speaker 1: in the school, not the brand name, because because for 357 00:18:43,320 --> 00:18:45,439 Speaker 1: us it was a big mistake. I agree with you 358 00:18:45,480 --> 00:18:48,159 Speaker 1: on that completely. I think when employers are looking at 359 00:18:48,320 --> 00:18:52,760 Speaker 1: these at these potential employees, they're not saying, well, you know, Stanford, 360 00:18:52,880 --> 00:18:55,560 Speaker 1: compared to say I don't know Texas or Georgia. I 361 00:18:55,880 --> 00:18:57,800 Speaker 1: don't think it really matters. I think in the end, 362 00:18:58,040 --> 00:19:00,760 Speaker 1: it's how you interview, how you doing that interview. Who 363 00:19:00,840 --> 00:19:04,359 Speaker 1: you know helps out a lot as well. And where 364 00:19:04,359 --> 00:19:06,480 Speaker 1: you do your internships. I mean I'm speaking more from 365 00:19:06,520 --> 00:19:09,360 Speaker 1: like a journalism, like broadcasting perspective, but I learn more 366 00:19:09,680 --> 00:19:11,960 Speaker 1: doing internships than I ever did in a classroom, right, 367 00:19:11,960 --> 00:19:14,840 Speaker 1: because that's where you get real world experience. So yeah, 368 00:19:15,040 --> 00:19:17,440 Speaker 1: to waste your money on these things, I'll leave it here. John, 369 00:19:17,480 --> 00:19:20,439 Speaker 1: my brother runs a contracting school in Paterson, New Jersey, 370 00:19:20,640 --> 00:19:24,159 Speaker 1: and his classes are full one hundred percent because it 371 00:19:24,280 --> 00:19:26,760 Speaker 1: is a fraction of what it costs to send a 372 00:19:26,880 --> 00:19:30,680 Speaker 1: kid to college, and they're getting real experience learning how 373 00:19:30,680 --> 00:19:33,520 Speaker 1: to beat contractors and electricians. And when they get out. 374 00:19:33,560 --> 00:19:35,399 Speaker 1: My brother has a son in the Saint Set, ninety 375 00:19:35,440 --> 00:19:37,800 Speaker 1: seven percent of his graduates are offered a job with him, 376 00:19:37,800 --> 00:19:39,800 Speaker 1: like the first six months after graduating. Like that's what 377 00:19:39,920 --> 00:19:42,200 Speaker 1: how much of a demand there are for these types 378 00:19:42,240 --> 00:19:45,000 Speaker 1: of jobs, And that's I think a good way to 379 00:19:45,040 --> 00:19:46,600 Speaker 1: go if your kid doesn't quite know what he wants 380 00:19:46,600 --> 00:19:48,520 Speaker 1: to do, or he wants to be like a psychology major, 381 00:19:48,520 --> 00:19:50,600 Speaker 1: which really does nothing for you. When you get out 382 00:19:50,640 --> 00:19:53,399 Speaker 1: of school, maybe consider a contracting school. So so that's that. 383 00:19:53,520 --> 00:19:56,280 Speaker 1: But John, thank you, and go Cougars. I think are 384 00:19:56,320 --> 00:19:58,640 Speaker 1: they left that were they beaten too? I think they 385 00:19:58,680 --> 00:20:00,800 Speaker 1: may be out as well. Good lord, but thank you John. 386 00:20:00,800 --> 00:20:05,520 Speaker 1: I appreciate it. Anyway, Let's get to my friend Linda, 387 00:20:05,600 --> 00:20:09,159 Speaker 1: who is also the executive producer of this program, because 388 00:20:09,240 --> 00:20:11,719 Speaker 1: I need to know. I've been wanting to ask her 389 00:20:11,720 --> 00:20:13,639 Speaker 1: about this. But we've had guests pretty much back to 390 00:20:13,680 --> 00:20:15,520 Speaker 1: back throughout the entire show. Great guests, by the way, 391 00:20:15,760 --> 00:20:19,800 Speaker 1: about the impending arrest. According to the former president of 392 00:20:19,840 --> 00:20:22,960 Speaker 1: Donald Trump, Donald Trump thinks he's being arrested tomorrow for 393 00:20:23,160 --> 00:20:26,320 Speaker 1: hush money over Stormy Daniels, a case that was basically 394 00:20:26,440 --> 00:20:28,480 Speaker 1: it's a zombie case. They call it, Linda, right, because 395 00:20:28,480 --> 00:20:30,919 Speaker 1: two years ago even the Feds, even the Department of 396 00:20:30,960 --> 00:20:33,479 Speaker 1: Justice basically said there's no there there, We're not going 397 00:20:33,520 --> 00:20:35,840 Speaker 1: to pursue this. And now this Alvin Bragg, the worst 398 00:20:35,880 --> 00:20:39,120 Speaker 1: district Attorney New York City has ever seen, has resurrected 399 00:20:39,119 --> 00:20:42,440 Speaker 1: this thing for what exactly? Because I think Trump only 400 00:20:42,440 --> 00:20:45,400 Speaker 1: gets stronger from this. Yeah, I mean, I have to say, 401 00:20:45,760 --> 00:20:47,800 Speaker 1: you know, it's interesting we were talking about this and 402 00:20:48,480 --> 00:20:50,760 Speaker 1: unfortunately for people on the right, you know, we have 403 00:20:50,800 --> 00:20:52,760 Speaker 1: a lot of common sense, we have a lot of respect, 404 00:20:52,920 --> 00:20:56,159 Speaker 1: and we have seen just like you were saying with 405 00:20:56,359 --> 00:20:59,879 Speaker 1: you know, Vivic earlier, whether it's Rhonda Santis or Vivic, 406 00:21:00,520 --> 00:21:04,400 Speaker 1: or Jonathan Turley or Alan Dershowitz. You know, these are 407 00:21:04,480 --> 00:21:09,200 Speaker 1: people who are not you know, hardcore conservatives. These are 408 00:21:09,200 --> 00:21:11,800 Speaker 1: people that are you know, level headed and would love 409 00:21:11,840 --> 00:21:13,960 Speaker 1: to hate Donald Trump. And all of them are saying 410 00:21:14,000 --> 00:21:16,640 Speaker 1: the same thing, which is that you know, pardon the pun, 411 00:21:16,760 --> 00:21:19,240 Speaker 1: but to be this is as trumped up as it gets. 412 00:21:19,600 --> 00:21:21,600 Speaker 1: And I think if I was a part of the 413 00:21:21,600 --> 00:21:24,359 Speaker 1: Biden crime family and I was trying to figure out 414 00:21:24,400 --> 00:21:26,600 Speaker 1: how to make everybody look away from the fact that 415 00:21:26,640 --> 00:21:30,280 Speaker 1: I have taken the most powerful nation in the world, 416 00:21:30,440 --> 00:21:33,600 Speaker 1: and I destroyed its energy, and I destroyed its workforce, 417 00:21:33,680 --> 00:21:36,840 Speaker 1: and I wrote people down and trapped children in masks 418 00:21:36,880 --> 00:21:39,680 Speaker 1: and told everybody that they weren't allowed to ask questions 419 00:21:39,720 --> 00:21:41,639 Speaker 1: about anything, and they just had to accept what the 420 00:21:41,680 --> 00:21:44,240 Speaker 1: government had to say. And we had tent cities and 421 00:21:44,320 --> 00:21:48,439 Speaker 1: open borders and debts by fetnall. What better way to 422 00:21:48,520 --> 00:21:51,199 Speaker 1: make everybody stop talking about everything you're doing wrong, but 423 00:21:51,320 --> 00:21:53,119 Speaker 1: pointing the finger and saying, hey, we're going to arrest 424 00:21:53,119 --> 00:21:55,440 Speaker 1: a former president. Check it out. It's going to be great. 425 00:21:55,480 --> 00:21:57,640 Speaker 1: It's great TV. Right. Well, that's the thing. I mean, 426 00:21:57,880 --> 00:21:59,639 Speaker 1: we have CNN on one of the screens here, as 427 00:21:59,640 --> 00:22:02,479 Speaker 1: you know, and it's just i've been since I've been 428 00:22:02,480 --> 00:22:05,480 Speaker 1: here at three o'clock Eastern, basically ninety eight percent of 429 00:22:05,480 --> 00:22:09,879 Speaker 1: the coverage has been about Trump, about security around New 430 00:22:09,920 --> 00:22:12,920 Speaker 1: York or now the headline is McCarthy slams going after 431 00:22:12,960 --> 00:22:15,520 Speaker 1: people over political differences, and they have square scare quotes 432 00:22:15,640 --> 00:22:19,560 Speaker 1: around going after people. So it's just this gives the media. Wow, 433 00:22:19,760 --> 00:22:22,320 Speaker 1: It's like groundhog Day. It's twenty seventeen through twenty twenty 434 00:22:22,359 --> 00:22:23,880 Speaker 1: one all over again, where they get to talk about 435 00:22:23,880 --> 00:22:25,760 Speaker 1: Trump all the time because that's when their ratings were 436 00:22:25,760 --> 00:22:29,399 Speaker 1: actually respectable in these situations. And as you said, the 437 00:22:29,400 --> 00:22:32,399 Speaker 1: Biden crime family, I mean, more and more, these bank 438 00:22:32,400 --> 00:22:40,560 Speaker 1: records are so damaging the fact that, right they doing 439 00:22:40,640 --> 00:22:43,439 Speaker 1: a couple very you know, Fox, But but that's basically it, 440 00:22:43,760 --> 00:22:45,560 Speaker 1: right that where is the editorial board for the New 441 00:22:45,640 --> 00:22:48,560 Speaker 1: York Times in the Washington Post talking about why did 442 00:22:48,560 --> 00:22:51,720 Speaker 1: Hallie Biden a guidance counselor get tens of thousands of 443 00:22:51,760 --> 00:22:55,040 Speaker 1: dollars from a Chinese electric company. Or James Biden, the 444 00:22:55,040 --> 00:22:58,280 Speaker 1: president's brother, has gotten millions. Hunter Biden's gotten millions. And 445 00:22:58,320 --> 00:23:01,720 Speaker 1: then with this most recent transaction, there's eighty thousand two 446 00:23:01,760 --> 00:23:04,280 Speaker 1: an unknown Biden, which I'm pretty sure we have a 447 00:23:04,280 --> 00:23:06,199 Speaker 1: pretty good guess who that is. And that's where the 448 00:23:06,280 --> 00:23:08,760 Speaker 1: real story is. But journalists, if you want to call them, that, 449 00:23:08,800 --> 00:23:11,200 Speaker 1: have lost their curiosity gene as far as going after 450 00:23:11,200 --> 00:23:14,159 Speaker 1: this because Trump is the shiny object once again with 451 00:23:14,200 --> 00:23:16,600 Speaker 1: this arrest likely coming. And we're talking to Linda, the 452 00:23:16,600 --> 00:23:20,199 Speaker 1: producer of this great, great show. Linda, I gotta know, 453 00:23:20,400 --> 00:23:24,080 Speaker 1: did you go on spring break back in college? Never? Really, 454 00:23:24,320 --> 00:23:27,480 Speaker 1: you're working hard. I went to school at night, you did. 455 00:23:28,000 --> 00:23:30,040 Speaker 1: I did all of my degrees at night. I never 456 00:23:30,160 --> 00:23:33,600 Speaker 1: had the quote unquote college experience. So I was in 457 00:23:33,680 --> 00:23:36,960 Speaker 1: school with working people. Oh sorry, it was that was 458 00:23:37,000 --> 00:23:38,800 Speaker 1: an education in and of itself. Was the story in 459 00:23:39,200 --> 00:23:41,080 Speaker 1: the modeling era, So you did the modeling during the 460 00:23:41,119 --> 00:23:43,480 Speaker 1: day and then went to the school at night. I 461 00:23:43,520 --> 00:23:46,200 Speaker 1: was actually working on Wall Street for a little while 462 00:23:46,240 --> 00:23:49,320 Speaker 1: as a portfolio manager, and then I am. I was 463 00:23:49,359 --> 00:23:51,560 Speaker 1: working for a hedge fund guy, and you know, and 464 00:23:52,040 --> 00:23:54,280 Speaker 1: then I came over to here. Wow. So yeah, I've 465 00:23:54,280 --> 00:23:56,760 Speaker 1: always been a working girl. What made you get into radio? 466 00:23:56,800 --> 00:23:59,000 Speaker 1: That's that's quite a jump to go from finance too. 467 00:23:59,280 --> 00:24:01,800 Speaker 1: Oh god, this is such a ridiculous story. I came 468 00:24:01,840 --> 00:24:04,160 Speaker 1: here to do music, and I did all the things 469 00:24:04,160 --> 00:24:06,120 Speaker 1: with music, and I thought that would be in my path. 470 00:24:06,200 --> 00:24:09,119 Speaker 1: And but you know, everybody knows as a wedding singer 471 00:24:09,240 --> 00:24:11,280 Speaker 1: or you're singing in bars on the weekends and nights 472 00:24:11,280 --> 00:24:13,359 Speaker 1: in YadA YadA, you gotta you know, you're singing for 473 00:24:13,400 --> 00:24:15,639 Speaker 1: your slupper. So I got a job during the day. 474 00:24:15,920 --> 00:24:17,880 Speaker 1: I worked all day, I went to school at night. 475 00:24:17,880 --> 00:24:20,480 Speaker 1: I sang on the weekends and it just was like NonStop. 476 00:24:20,520 --> 00:24:21,960 Speaker 1: And then I had to do an internship and I 477 00:24:22,040 --> 00:24:24,600 Speaker 1: ended up at PLJ and I had a background in 478 00:24:24,600 --> 00:24:27,439 Speaker 1: audio video engineering and they needed an engineer on the 479 00:24:27,480 --> 00:24:29,400 Speaker 1: AM side, and they said, oh, you want to try 480 00:24:29,440 --> 00:24:30,679 Speaker 1: out there, and I was like, yeah, sure. They were 481 00:24:30,680 --> 00:24:32,560 Speaker 1: gonna put me promotions because I know how to talk 482 00:24:32,600 --> 00:24:35,560 Speaker 1: and YadA YadA. And then they said, um, oh, you 483 00:24:35,600 --> 00:24:38,919 Speaker 1: ever heard of Sean Hannity. I said, no, not a 484 00:24:38,960 --> 00:24:41,159 Speaker 1: lick and they went into the interview with Sean. And 485 00:24:41,200 --> 00:24:43,840 Speaker 1: it's a very funny story because about halfway through the interview, 486 00:24:43,840 --> 00:24:45,719 Speaker 1: Sean looked at me and he said, you have no 487 00:24:45,800 --> 00:24:49,000 Speaker 1: idea who I am to you. I'm like, no, I'm 488 00:24:49,040 --> 00:24:51,400 Speaker 1: really sorry why He just started laughing and he goes, 489 00:24:51,440 --> 00:24:53,720 Speaker 1: are you always this honest? And I'm like, no, worse, 490 00:24:53,800 --> 00:24:55,560 Speaker 1: you don't even know me yet, it gets really bad 491 00:24:55,960 --> 00:24:57,560 Speaker 1: you are. And that was it. That was how I 492 00:24:57,560 --> 00:24:59,439 Speaker 1: started with him. And that was that. So you you 493 00:24:59,440 --> 00:25:00,920 Speaker 1: were an engineer on the show and you eventually worked 494 00:25:00,960 --> 00:25:02,879 Speaker 1: your way up to executive producers. I did well. I 495 00:25:03,000 --> 00:25:04,760 Speaker 1: was a cool screener. I was a board op. I 496 00:25:04,800 --> 00:25:07,280 Speaker 1: would cut audio and video and I've done it all, 497 00:25:07,320 --> 00:25:08,840 Speaker 1: you know, so I've been here a long time. So 498 00:25:08,920 --> 00:25:11,719 Speaker 1: people know at home, I mean radio can sound sexy, 499 00:25:11,800 --> 00:25:13,439 Speaker 1: you know, like, oh, it's a great job. And you 500 00:25:13,520 --> 00:25:15,360 Speaker 1: look at the stories of like Howard Stern and Don 501 00:25:15,400 --> 00:25:18,880 Speaker 1: Imus and Rush Limbaugh. It is a grind and a half. 502 00:25:18,920 --> 00:25:20,800 Speaker 1: It is the hardest job I ever had. Was hosting 503 00:25:20,840 --> 00:25:22,800 Speaker 1: a show in New York a couple of years ago. 504 00:25:22,840 --> 00:25:24,159 Speaker 1: And plus it was hard because I did it from 505 00:25:24,160 --> 00:25:26,280 Speaker 1: six pm to nine pm. At night, and my kids 506 00:25:26,280 --> 00:25:28,679 Speaker 1: were very, very young, and apparently my wife told me 507 00:25:28,720 --> 00:25:30,600 Speaker 1: this after the fact. They would cry themselves as sleep 508 00:25:30,600 --> 00:25:32,199 Speaker 1: every night because daddy wasn't there to talk them in. 509 00:25:32,359 --> 00:25:34,919 Speaker 1: It's actually very hard. I mean, I think in general, 510 00:25:34,960 --> 00:25:38,560 Speaker 1: working parents across America would all commiserate. You know, life 511 00:25:38,640 --> 00:25:40,359 Speaker 1: is so much harder now. I was just saying this 512 00:25:40,359 --> 00:25:41,880 Speaker 1: the other day to a friend of mine, and I said, 513 00:25:41,880 --> 00:25:44,840 Speaker 1: you know, if we look at the nineteen sixties, let's 514 00:25:44,840 --> 00:25:47,280 Speaker 1: just take voting for example. Right, you go into the polls, 515 00:25:47,359 --> 00:25:49,680 Speaker 1: you vote, you cast your vote. The night you cast 516 00:25:49,760 --> 00:25:51,399 Speaker 1: all your votes, they count them up, and you know 517 00:25:51,440 --> 00:25:54,160 Speaker 1: who won in the nineteen sixties. Now it's twenty twenty, 518 00:25:54,200 --> 00:25:56,080 Speaker 1: twenty twenty three, whatever it is going to be twenty 519 00:25:56,119 --> 00:25:58,720 Speaker 1: twenty four the next election. We can't figure anything out. 520 00:25:58,760 --> 00:26:01,239 Speaker 1: It takes thousands of people. Nobody knows where it is. 521 00:26:01,280 --> 00:26:03,840 Speaker 1: Everybody's working two and three jobs to keep up. Nobody 522 00:26:03,880 --> 00:26:06,720 Speaker 1: sees their kids. We got daycare and nursery, school's, kindergartens. 523 00:26:06,760 --> 00:26:09,080 Speaker 1: It's a hot mess. You're right about that. My wife 524 00:26:09,080 --> 00:26:10,679 Speaker 1: and I were just having a conversation about this. How 525 00:26:10,760 --> 00:26:12,720 Speaker 1: you know we're working our butts off, you know, I 526 00:26:12,800 --> 00:26:14,680 Speaker 1: have at least three jobs, I guess, and we still 527 00:26:14,720 --> 00:26:16,119 Speaker 1: just kind of look at our bank account be like, 528 00:26:16,280 --> 00:26:20,160 Speaker 1: wait a minute, well I wasn't. That's good thing. And 529 00:26:20,200 --> 00:26:21,880 Speaker 1: you know, the problem is too, is that you guys 530 00:26:21,920 --> 00:26:25,200 Speaker 1: are a perfect example. Right. You're two people who worked 531 00:26:25,240 --> 00:26:27,560 Speaker 1: really hard, went to school and did all the things, 532 00:26:27,560 --> 00:26:29,760 Speaker 1: and you always do the right things. And then you 533 00:26:29,800 --> 00:26:32,040 Speaker 1: get to a spot and you're like, I really would 534 00:26:32,040 --> 00:26:33,600 Speaker 1: love to be able to see my kids on the 535 00:26:33,640 --> 00:26:35,640 Speaker 1: weekend and not be worried about working all the time. 536 00:26:35,760 --> 00:26:37,640 Speaker 1: That's right, And that We're going to Disney next week, 537 00:26:37,680 --> 00:26:39,840 Speaker 1: so I'll see plenty of them, believe me. Oh my god, 538 00:26:39,880 --> 00:26:42,240 Speaker 1: be careful you're taking them into the lions Den. Huh. 539 00:26:42,600 --> 00:26:44,879 Speaker 1: Ten thousand dollars. I mean, I don't mind sharing this. 540 00:26:44,960 --> 00:26:47,000 Speaker 1: And it's not like we're getting some sort of everybody 541 00:26:47,000 --> 00:26:49,479 Speaker 1: knows how much it costs. It's ridiculous, it's insane, and 542 00:26:49,520 --> 00:26:51,760 Speaker 1: that the flight's like the cheapest part. And then from there, 543 00:26:52,200 --> 00:26:54,080 Speaker 1: just to get tickets to go to the park every day, 544 00:26:54,119 --> 00:26:56,679 Speaker 1: it's hundreds of dollars. I mean, to go on rides, 545 00:26:57,200 --> 00:26:58,760 Speaker 1: it is great, but what are you guys doing that 546 00:26:58,880 --> 00:27:02,600 Speaker 1: VIP thing? No, nothing like that so supposedly. I have 547 00:27:02,680 --> 00:27:04,159 Speaker 1: no idea what it's called because I've never been to 548 00:27:04,160 --> 00:27:07,159 Speaker 1: Disney and I'll never take my kids there. But wowam's 549 00:27:07,200 --> 00:27:10,480 Speaker 1: not Oh, I will never take him there. Absolutely not interest. 550 00:27:10,520 --> 00:27:14,240 Speaker 1: That is a that is a liberal land of lunacy 551 00:27:14,280 --> 00:27:16,240 Speaker 1: that I have no desire to be any part of 552 00:27:16,359 --> 00:27:19,520 Speaker 1: at any time. The literation side, I'm very impressed with that. Okay, 553 00:27:19,600 --> 00:27:22,160 Speaker 1: good for you. I don't know. It's it's my last 554 00:27:22,200 --> 00:27:24,280 Speaker 1: chance to see them like as innocent because their first 555 00:27:24,280 --> 00:27:27,000 Speaker 1: and third grade before they start not believing in certain things. 556 00:27:27,000 --> 00:27:28,960 Speaker 1: So I'm willing to swallow that and go with But 557 00:27:29,000 --> 00:27:31,240 Speaker 1: I get why you wouldn't. Yeah, the reason why I 558 00:27:31,240 --> 00:27:34,560 Speaker 1: bought a spring break before is because in Miami they're 559 00:27:34,600 --> 00:27:37,320 Speaker 1: trying to cancel it and they want They've already set curfews. 560 00:27:37,640 --> 00:27:39,960 Speaker 1: I mean, this is insane. When I went, I went 561 00:27:40,000 --> 00:27:42,399 Speaker 1: to Panama City, Florida, drove all the way down and 562 00:27:42,400 --> 00:27:44,440 Speaker 1: get there. It's eighty five degrees there the first day, 563 00:27:44,560 --> 00:27:47,040 Speaker 1: and you see people dancing, everybody's you know, bikinis, and 564 00:27:47,119 --> 00:27:48,880 Speaker 1: it's just a perfect place. And I'm like, Wow, it's 565 00:27:48,920 --> 00:27:50,679 Speaker 1: just like the movies. And then two days later it's 566 00:27:50,760 --> 00:27:55,440 Speaker 1: not it's like, really, you could look it up. Nineteen 567 00:27:55,560 --> 00:27:58,920 Speaker 1: ninety three marks the storm of the century they called it. 568 00:27:58,960 --> 00:28:00,639 Speaker 1: And since you're a northern floor and then it is 569 00:28:00,680 --> 00:28:03,640 Speaker 1: cold enough to snow there or Alabama? Really, which Panama 570 00:28:03,680 --> 00:28:05,960 Speaker 1: City is near? Yes, that was. I had a jeep, 571 00:28:06,080 --> 00:28:08,000 Speaker 1: so I took the top off and put it like 572 00:28:08,040 --> 00:28:09,680 Speaker 1: in storage so I could drive around, you know, with 573 00:28:09,800 --> 00:28:11,679 Speaker 1: the top off my red jeep. And then it's snowing. 574 00:28:11,680 --> 00:28:14,000 Speaker 1: I mean when I'm trying to get to this place, 575 00:28:14,040 --> 00:28:15,879 Speaker 1: I didn't even pack like a sweats or anything. I 576 00:28:15,880 --> 00:28:17,280 Speaker 1: had to buy one from like a gas station. But 577 00:28:17,320 --> 00:28:19,920 Speaker 1: I still have to this day because it was so cold. 578 00:28:19,920 --> 00:28:21,439 Speaker 1: But anyway, the reason why I bring it up is 579 00:28:21,760 --> 00:28:26,119 Speaker 1: am I getting old or our kids college students becoming 580 00:28:26,200 --> 00:28:29,359 Speaker 1: just more brazen because because of what I mean, you 581 00:28:29,400 --> 00:28:31,120 Speaker 1: should see these scenes out of Miami. I mean, people 582 00:28:31,119 --> 00:28:33,800 Speaker 1: are getting shot at spring break. This is unthinkable. Well, 583 00:28:33,800 --> 00:28:36,360 Speaker 1: the problem is they're right, this is like the perfect 584 00:28:36,359 --> 00:28:39,840 Speaker 1: triffect of events, right, so we have zero accountability. Yeah, 585 00:28:39,880 --> 00:28:43,120 Speaker 1: we have parents that have been raising their children in 586 00:28:43,160 --> 00:28:46,160 Speaker 1: a society of the internet, right, so we have the 587 00:28:46,160 --> 00:28:51,360 Speaker 1: sensationalism of what they see on TikTok and Pinterest and Instagram, snapchat. 588 00:28:51,560 --> 00:28:53,080 Speaker 1: I mean, the kids don't even text each other. It's 589 00:28:53,080 --> 00:28:55,880 Speaker 1: snap snap, snap, snap snap, and it's just constant and 590 00:28:55,920 --> 00:28:58,280 Speaker 1: they're judging each other all day long, and they think 591 00:28:58,320 --> 00:29:01,680 Speaker 1: that that is reality. Then they play, you know, terrible 592 00:29:01,720 --> 00:29:04,680 Speaker 1: games like Grand Theft Auto or Call of Duty where 593 00:29:04,880 --> 00:29:06,600 Speaker 1: people are getting shot up all the time. And if 594 00:29:06,600 --> 00:29:09,080 Speaker 1: you're a part of your child's life and you're actually 595 00:29:09,120 --> 00:29:11,480 Speaker 1: talking to them about what's real and what's not real, 596 00:29:11,520 --> 00:29:14,000 Speaker 1: and what's acceptable and what's not acceptable, and you're involved, 597 00:29:14,000 --> 00:29:17,400 Speaker 1: then your child knows the difference between real life and 598 00:29:17,720 --> 00:29:20,400 Speaker 1: this you know, virtual life that they live in a 599 00:29:20,400 --> 00:29:22,880 Speaker 1: lot of the time. But a lot of these kids don't. 600 00:29:22,880 --> 00:29:25,200 Speaker 1: And when you're young, as we all know, you have 601 00:29:25,280 --> 00:29:27,720 Speaker 1: this invincibility thing. You think that you can live forever, 602 00:29:27,800 --> 00:29:29,360 Speaker 1: you can do whatever you want. You're going to get 603 00:29:29,360 --> 00:29:32,080 Speaker 1: away with it because you're special, you're unique, and you 604 00:29:32,160 --> 00:29:35,440 Speaker 1: matter the most. And no, you're not. You're only special 605 00:29:35,440 --> 00:29:36,760 Speaker 1: if you do the right thing. When you do the 606 00:29:36,800 --> 00:29:39,240 Speaker 1: wrong thing, you're just hurting people. When you do ninety 607 00:29:39,280 --> 00:29:41,800 Speaker 1: miles down the turnpike and you know you're weaving in 608 00:29:41,800 --> 00:29:44,360 Speaker 1: and out and you're swerving and you're going to hit somebody, 609 00:29:44,360 --> 00:29:45,960 Speaker 1: and that person that you hit us three kids in 610 00:29:46,000 --> 00:29:48,000 Speaker 1: their back seat, why because you wanted to get four 611 00:29:48,040 --> 00:29:50,320 Speaker 1: cars in front of them. Or you're gonna shoot somebody 612 00:29:50,320 --> 00:29:52,720 Speaker 1: on spring break because you thought they looked at you funny. 613 00:29:52,880 --> 00:29:54,800 Speaker 1: You didn't like the way that they looked You didn't 614 00:29:54,840 --> 00:29:57,160 Speaker 1: like that they bumped you in line. But again, there's 615 00:29:57,200 --> 00:30:00,120 Speaker 1: no accountability because nobody's going to jail anywhere. No he 616 00:30:00,200 --> 00:30:02,560 Speaker 1: is getting in trouble except for Trump, right, Trump's the 617 00:30:02,600 --> 00:30:04,880 Speaker 1: only one going to jail, and everybody else is fine. 618 00:30:05,120 --> 00:30:06,480 Speaker 1: I mean, look at the look at the crime in 619 00:30:06,520 --> 00:30:08,960 Speaker 1: New York City, look at the crime in California, you know, 620 00:30:09,040 --> 00:30:11,360 Speaker 1: I mean they're moving in droves. As you said earlier. 621 00:30:11,360 --> 00:30:12,640 Speaker 1: If you look at you, Hau and you look at 622 00:30:12,680 --> 00:30:15,680 Speaker 1: where people are leaving, you know, mayor lightfoot. She's like, oh, 623 00:30:15,720 --> 00:30:18,320 Speaker 1: I didn't get reelected because I'm a woman, and you know, 624 00:30:18,360 --> 00:30:20,040 Speaker 1: i'm this, and I'm not and I'm black, and they 625 00:30:20,080 --> 00:30:22,240 Speaker 1: didn't like that. I'm like, lady, they don't care about 626 00:30:22,280 --> 00:30:23,959 Speaker 1: any of that. They care about the fact that their 627 00:30:24,040 --> 00:30:27,000 Speaker 1: kids are not safe. They don't care of your purple 628 00:30:27,240 --> 00:30:30,320 Speaker 1: polka dot dinosaur like you're just a really bad mayor 629 00:30:30,600 --> 00:30:32,840 Speaker 1: who didn't care about her people at de Blasio two 630 00:30:32,880 --> 00:30:35,760 Speaker 1: point oh. And that's the thing. It's not even just like, oh, 631 00:30:35,800 --> 00:30:37,520 Speaker 1: this is happening on the South Side where things are 632 00:30:37,520 --> 00:30:40,160 Speaker 1: always bad. No like that, even the Magnificent Mile you 633 00:30:40,160 --> 00:30:42,840 Speaker 1: have like looting going on. That that's Michigan Avenue. That 634 00:30:42,880 --> 00:30:45,040 Speaker 1: that's like fifth Avenue here in New York. And once 635 00:30:45,040 --> 00:30:47,640 Speaker 1: it goes to good areas, yeah, then then suddenly the 636 00:30:47,680 --> 00:30:49,480 Speaker 1: media starts paying attention. And I want to get your 637 00:30:49,480 --> 00:30:51,200 Speaker 1: reaction to one thing here real quick? Can you play 638 00:30:51,240 --> 00:30:56,000 Speaker 1: the Jensaki sat on how it's good a good idea 639 00:30:56,040 --> 00:30:58,040 Speaker 1: for Democrats to go woke? I wanted your reaction to 640 00:30:58,040 --> 00:31:00,640 Speaker 1: this land On the other side, Republicans woken, this public 641 00:31:00,720 --> 00:31:03,440 Speaker 1: enemy number one. By the sound of it, there is 642 00:31:03,440 --> 00:31:06,600 Speaker 1: simply no greater threat to American liberty. Whether or not 643 00:31:06,680 --> 00:31:08,920 Speaker 1: they actually believe it. They clearly think it's a winning 644 00:31:08,920 --> 00:31:11,640 Speaker 1: message ahead of twenty twenty four, and it makes you think, 645 00:31:12,000 --> 00:31:14,520 Speaker 1: are they onto something? Should I be freaking out about 646 00:31:14,520 --> 00:31:18,080 Speaker 1: how right wing Republicans are co opting woke and wokesm 647 00:31:18,240 --> 00:31:22,720 Speaker 1: my gut, here is no so embrace woke and that's 648 00:31:22,720 --> 00:31:24,520 Speaker 1: something to run on. I ask Charlie Chris how that 649 00:31:24,520 --> 00:31:27,120 Speaker 1: went form when you lost my nineteen points in Florida. 650 00:31:27,560 --> 00:31:29,320 Speaker 1: I mean, I don't think that sak should be talking 651 00:31:29,320 --> 00:31:31,520 Speaker 1: about a whole lot. I mean, she was the spokesperson 652 00:31:31,560 --> 00:31:33,800 Speaker 1: for two of the worst presidents in history. Just do 653 00:31:33,840 --> 00:31:35,960 Speaker 1: your show on fake news and go go home. Stop 654 00:31:36,000 --> 00:31:38,120 Speaker 1: talking about what you think is right or wrong. I 655 00:31:38,120 --> 00:31:39,760 Speaker 1: cannot wait for the ratings to come in tomorrow for 656 00:31:40,040 --> 00:31:43,440 Speaker 1: that shows so horrible body as a guest, I'll just 657 00:31:43,480 --> 00:31:44,960 Speaker 1: get on for two minutes and report and then then 658 00:31:45,120 --> 00:31:47,520 Speaker 1: leave and that'll be that. Anyway, Linda, always a pleasure 659 00:31:47,520 --> 00:31:49,640 Speaker 1: catching up with you. You too, my friend. I don't 660 00:31:49,640 --> 00:31:51,959 Speaker 1: think anybody really heard the Linda story until now, so 661 00:31:52,000 --> 00:31:55,880 Speaker 1: that was probably not I've never build it. Wow, back 662 00:31:55,920 --> 00:31:57,840 Speaker 1: with mar just a moment Joe Concient for Showan Hay 663 00:31:57,840 --> 00:31:59,600 Speaker 1: The Show and Hannity Show. We wrapped this puppy up, 664 00:32:00,120 --> 00:32:05,400 Speaker 1: Don Darius Rocket, Ladies and gentlemen now considered country was 665 00:32:05,440 --> 00:32:08,000 Speaker 1: once Rocket one point he was hooting and Hooty the Boultfish. Anyway, 666 00:32:08,160 --> 00:32:10,280 Speaker 1: we gotta go real quick. But Jimmy Falla, thank you 667 00:32:10,320 --> 00:32:12,640 Speaker 1: for joining me. Governor Mike Huckaby, Carol Roth E G. 668 00:32:13,400 --> 00:32:16,360 Speaker 1: Ej Antony, he said, and thank you Sean Handy for 669 00:32:16,400 --> 00:32:18,360 Speaker 1: having me filling for you a great time. Thank you 670 00:32:18,440 --> 00:32:21,680 Speaker 1: Linda helping you back here soon. Everybody, Enjoy your night.