1 00:00:00,040 --> 00:00:02,320 Speaker 1: Hey, welcome back Joe Conscience filling it for Sean Hannity 2 00:00:02,360 --> 00:00:05,840 Speaker 1: the Sean Hannity's Show on this Wednesday before Christmas. Let's 3 00:00:05,880 --> 00:00:07,840 Speaker 1: bring in my favorite guest. I've said it before, I'll 4 00:00:07,880 --> 00:00:10,239 Speaker 1: say it again when I fill in in. First call, 5 00:00:10,280 --> 00:00:13,280 Speaker 1: I make us to Carol Roth. She's the entrepreneur and 6 00:00:13,600 --> 00:00:17,440 Speaker 1: author of the War on Small Business, how the government 7 00:00:17,560 --> 00:00:21,159 Speaker 1: used the pandemic to crush the backbone of America. We 8 00:00:21,200 --> 00:00:23,680 Speaker 1: want to take a look at this budget being presented 9 00:00:23,880 --> 00:00:27,800 Speaker 1: by the US Senate. What exactly is in these one 10 00:00:27,960 --> 00:00:31,200 Speaker 1: thousand and four hundred and fifty five pages. Carol? Have 11 00:00:31,320 --> 00:00:34,400 Speaker 1: you have you looked at this monstrosity yet? And I 12 00:00:34,479 --> 00:00:38,199 Speaker 1: tried to spend as little time going into the details 13 00:00:38,200 --> 00:00:42,560 Speaker 1: as possible because it makes me so angry and upsets. 14 00:00:43,159 --> 00:00:45,760 Speaker 1: You know, if we just went back to the spending 15 00:00:45,920 --> 00:00:50,440 Speaker 1: that we had in twenty eighteen or twenty nineteen, we 16 00:00:50,479 --> 00:00:55,320 Speaker 1: would be running a surplus. But these people in Congress, 17 00:00:55,360 --> 00:01:00,320 Speaker 1: who basically do political theater and lounder money legally, all 18 00:01:00,360 --> 00:01:03,760 Speaker 1: they want to do is just you continue to increase 19 00:01:03,800 --> 00:01:09,000 Speaker 1: their purview, could increase their spending. And you know, unfortunately 20 00:01:09,040 --> 00:01:10,720 Speaker 1: we were the ones who end up paying the price 21 00:01:10,800 --> 00:01:13,120 Speaker 1: quite literally for this. Let me break down some of 22 00:01:13,160 --> 00:01:16,880 Speaker 1: these things to save you time as you recover from 23 00:01:17,120 --> 00:01:19,119 Speaker 1: what do you have a bowl us ours? It's something 24 00:01:19,120 --> 00:01:21,200 Speaker 1: bad going on over in the Windy City with you. 25 00:01:21,800 --> 00:01:26,800 Speaker 1: I literally have everything. Oh if there was something to 26 00:01:26,959 --> 00:01:29,840 Speaker 1: be had, I have it. At this point, I appreciate 27 00:01:29,880 --> 00:01:31,880 Speaker 1: you joining us. I mean, any anybody else you know 28 00:01:31,920 --> 00:01:33,679 Speaker 1: you would have said no to what you said. Yeah, 29 00:01:33,720 --> 00:01:36,160 Speaker 1: con Linda, I want to help you out, So I 30 00:01:36,160 --> 00:01:38,479 Speaker 1: appreciate it. And this will cheer you up in a way. 31 00:01:38,520 --> 00:01:41,000 Speaker 1: You'll laugh so hard because it's so pathetic. All right, 32 00:01:41,200 --> 00:01:44,679 Speaker 1: here's what's in this particular budget. One point two million 33 00:01:44,760 --> 00:01:46,680 Speaker 1: four Let me see if I get all the letters right, 34 00:01:47,200 --> 00:01:53,880 Speaker 1: LGBTQI A plus Pride centers. That's one point two million dollars. 35 00:01:54,080 --> 00:01:57,600 Speaker 1: One point two million for quote services for DOCA recipients 36 00:01:57,880 --> 00:02:00,760 Speaker 1: aka helping illegal aliens with taxpayer funds at the San 37 00:02:00,760 --> 00:02:04,200 Speaker 1: Diego Community College. Four hundred and seventy seven thousand dollars 38 00:02:04,360 --> 00:02:07,400 Speaker 1: for the what's called the Equity Institute in Rhode Island 39 00:02:07,440 --> 00:02:12,720 Speaker 1: to indoctorate teachers with quote anti racism virtual labs. I mean, 40 00:02:12,720 --> 00:02:14,480 Speaker 1: I could go on and on here as far as 41 00:02:14,560 --> 00:02:16,720 Speaker 1: let's see seven hundred and fifty thousand dollars for the 42 00:02:16,960 --> 00:02:22,640 Speaker 1: LGBT in Gender non Conforming Housing in Albany, New York. Wow, 43 00:02:22,680 --> 00:02:25,280 Speaker 1: that's a nice pad. Hopefully MTV cribs can get up there. 44 00:02:25,919 --> 00:02:30,240 Speaker 1: Two million for the Great Blacks in Wax Museum in Baltimore, 45 00:02:30,240 --> 00:02:32,200 Speaker 1: where I know I'm taking the kids during Christmas week, 46 00:02:32,360 --> 00:02:34,760 Speaker 1: and eight hundred and fifty six thousand dollars for the 47 00:02:35,000 --> 00:02:39,840 Speaker 1: LGBT Center in New York. I mean, this is just 48 00:02:39,880 --> 00:02:44,400 Speaker 1: an example of what we're spending our money on instead 49 00:02:44,400 --> 00:02:47,120 Speaker 1: of I don't know, the US southern border, where it's 50 00:02:47,160 --> 00:02:49,200 Speaker 1: not even a crisis anymore. We've gone to now full 51 00:02:49,240 --> 00:02:51,959 Speaker 1: catastrophe mode. Not see a lot of money in here 52 00:02:52,520 --> 00:02:56,760 Speaker 1: for addressing that problem, Carol, of course, not, of course not, No, 53 00:02:56,880 --> 00:02:59,760 Speaker 1: it's it's very frustrating. I feel like our founding father 54 00:03:00,040 --> 00:03:03,960 Speaker 1: that are rolling around in their graves right now. We've 55 00:03:03,960 --> 00:03:08,040 Speaker 1: gotten so far away from what the federal government should 56 00:03:08,120 --> 00:03:10,919 Speaker 1: be doing. And you know, this is why I think 57 00:03:10,960 --> 00:03:13,480 Speaker 1: we need to have a two tier tax system. Right. 58 00:03:13,560 --> 00:03:16,920 Speaker 1: We need to have the things that are compulsory. Right, 59 00:03:17,400 --> 00:03:19,800 Speaker 1: you have to fund the military, you have to fund 60 00:03:20,000 --> 00:03:23,080 Speaker 1: you know, the the legal system. That's fine, all the 61 00:03:23,200 --> 00:03:26,320 Speaker 1: things that protect our rights, and then everything else should 62 00:03:26,320 --> 00:03:29,600 Speaker 1: be optional. So if people want to fund these things, 63 00:03:30,160 --> 00:03:34,239 Speaker 1: I have no problem, but we shouldn't be compelled to 64 00:03:34,280 --> 00:03:37,000 Speaker 1: fund these things. And so, you know, people had the 65 00:03:37,040 --> 00:03:40,600 Speaker 1: opportunity to check a box and say, yes, I want 66 00:03:40,600 --> 00:03:44,360 Speaker 1: to to do the alphabet soup thing and put more 67 00:03:44,400 --> 00:03:47,640 Speaker 1: taxes towards that. That's fine. But the fact that this 68 00:03:47,760 --> 00:03:51,040 Speaker 1: is going into an overall budget, which by the way, 69 00:03:51,240 --> 00:03:53,840 Speaker 1: isn't even going to be paid for with taxes, We're 70 00:03:53,880 --> 00:03:55,880 Speaker 1: going to end up printing more money. It's going to 71 00:03:55,960 --> 00:04:01,120 Speaker 1: generate more inflation. It hurts our purchasing power. This is 72 00:04:01,160 --> 00:04:03,920 Speaker 1: the vicious cycle that we are in in the twilight 73 00:04:04,000 --> 00:04:06,320 Speaker 1: of the US Empire. Carol. I mean, I know you're 74 00:04:06,320 --> 00:04:08,640 Speaker 1: in your teens at the time, but I'm old enough 75 00:04:08,680 --> 00:04:12,000 Speaker 1: to remember the nineteen nineties, right, and the second half 76 00:04:12,040 --> 00:04:15,640 Speaker 1: of it where we actually had a budget surplus, right, 77 00:04:15,720 --> 00:04:19,320 Speaker 1: we had a balanced budget amendment. What is that exactly? 78 00:04:19,360 --> 00:04:22,200 Speaker 1: And can that be achieved? Again? I mean, as I said, 79 00:04:22,240 --> 00:04:24,599 Speaker 1: it can be. All we would have to do given 80 00:04:24,680 --> 00:04:26,800 Speaker 1: the amount of money that they are taking in from 81 00:04:26,800 --> 00:04:30,320 Speaker 1: tax revenue right now is just rollback spending for a 82 00:04:30,360 --> 00:04:32,640 Speaker 1: few years. I mean, I mean, if you just think 83 00:04:32,680 --> 00:04:36,800 Speaker 1: about that, it's staggering. Twenty eighteen, we would have a 84 00:04:36,960 --> 00:04:41,680 Speaker 1: huge hundreds of billions of dollars in surplus. So this 85 00:04:41,880 --> 00:04:46,840 Speaker 1: is completely achievable. It's just that nobody in government has 86 00:04:46,880 --> 00:04:52,120 Speaker 1: the fortitude to be able to put that forth, which 87 00:04:52,160 --> 00:04:56,119 Speaker 1: is unfortunate. It would be an amazing thing to start 88 00:04:56,240 --> 00:04:59,839 Speaker 1: running a surplus, to start paying down that whatever it is, 89 00:05:00,279 --> 00:05:05,080 Speaker 1: thirty one trillion dollars and that that we have, you know, 90 00:05:05,240 --> 00:05:07,760 Speaker 1: especially with interest rate it's increasing, and the fact that 91 00:05:07,800 --> 00:05:10,120 Speaker 1: we're going to have more and more money going to 92 00:05:10,160 --> 00:05:12,560 Speaker 1: service the interest on the debt, like we are in 93 00:05:13,360 --> 00:05:19,080 Speaker 1: a financial peril going forward. And so if somebody doesn't 94 00:05:19,120 --> 00:05:22,279 Speaker 1: get that forward two pretty quickly, it's going to get ugly. 95 00:05:22,400 --> 00:05:24,839 Speaker 1: And we're talking to entrepreneur Carol Ross. She's the author 96 00:05:24,839 --> 00:05:27,280 Speaker 1: of the War on Small Business, how the government used 97 00:05:27,279 --> 00:05:30,360 Speaker 1: the pandemic to crush the backbone of America. A lot 98 00:05:30,360 --> 00:05:34,120 Speaker 1: of bank CEO's, Carol, and a lot of economists quite 99 00:05:34,120 --> 00:05:37,440 Speaker 1: frankly now conceding that there's a very very good chance 100 00:05:37,480 --> 00:05:41,120 Speaker 1: that we will be in a true recession. I thought 101 00:05:41,120 --> 00:05:42,440 Speaker 1: we were already in one this year when we have 102 00:05:42,520 --> 00:05:44,800 Speaker 1: two straight quarters of negative growth, but they're saying no, 103 00:05:44,839 --> 00:05:47,839 Speaker 1: the real one is coming this time, probably in the 104 00:05:47,880 --> 00:05:51,960 Speaker 1: spring of twenty twenty three. Are you on board with 105 00:05:52,000 --> 00:05:55,920 Speaker 1: that sentiment. Yeah, well, we'll call it the double dip recession. 106 00:05:56,000 --> 00:05:57,479 Speaker 1: We had at the first part of the year. We 107 00:05:57,600 --> 00:05:59,400 Speaker 1: came out of it, and then we're going back in it. 108 00:05:59,720 --> 00:06:04,960 Speaker 1: The reality is that the consumer has been basically carrying 109 00:06:05,000 --> 00:06:07,839 Speaker 1: the economy on its backs. We have a personal savings 110 00:06:07,920 --> 00:06:10,559 Speaker 1: rate which is at the lowest point since the Great 111 00:06:10,600 --> 00:06:15,479 Speaker 1: Recession financial crisis. We have credit card debt which is 112 00:06:15,560 --> 00:06:19,560 Speaker 1: at historic levels. So at some point here, particularly with 113 00:06:19,640 --> 00:06:24,120 Speaker 1: the FED trying to destruct demand, which it means kill 114 00:06:24,200 --> 00:06:27,320 Speaker 1: the consumer, you know, at some point the consumer is 115 00:06:27,360 --> 00:06:30,719 Speaker 1: going to go into break and you know, with businesses 116 00:06:30,720 --> 00:06:33,760 Speaker 1: slowing spending and the like, I think that it is 117 00:06:34,080 --> 00:06:37,679 Speaker 1: pretty much an inevitability. Although the government is doing everything 118 00:06:37,720 --> 00:06:40,719 Speaker 1: that it can, as we just talked about, to increase 119 00:06:40,800 --> 00:06:44,600 Speaker 1: their piece of that puzzle, so perhaps not as bad 120 00:06:44,920 --> 00:06:47,719 Speaker 1: as if they would just have some normalized level of stunding. 121 00:06:47,880 --> 00:06:50,600 Speaker 1: And we're talking to Carol Roth. You are a prolific 122 00:06:50,640 --> 00:06:53,520 Speaker 1: Twitter You get the twitchy treatment I get it once 123 00:06:53,520 --> 00:06:55,080 Speaker 1: in a while, but that you're a rock star when 124 00:06:55,080 --> 00:06:56,400 Speaker 1: it comes to twitchy, And for people who don't know 125 00:06:56,440 --> 00:07:00,000 Speaker 1: what twitchy is, basically they take the most insane, ridiculous, stupid, 126 00:07:00,160 --> 00:07:02,200 Speaker 1: quite frankly tweets that are out there and then show 127 00:07:02,279 --> 00:07:05,159 Speaker 1: how much those particular folks are being mocked for saying 128 00:07:05,160 --> 00:07:07,800 Speaker 1: whatever they had to say, and Carol usually is at 129 00:07:07,839 --> 00:07:09,840 Speaker 1: the top of that list as far as the mockery 130 00:07:09,920 --> 00:07:11,560 Speaker 1: is concerned in a nice way. By the way, you're 131 00:07:11,600 --> 00:07:15,680 Speaker 1: not an angry person. You're not exactly physically healthy right now, 132 00:07:15,680 --> 00:07:17,760 Speaker 1: but mentally I think you're You're all there, and you 133 00:07:17,800 --> 00:07:19,640 Speaker 1: seem to be optimistic for the most part, and that's 134 00:07:19,640 --> 00:07:21,880 Speaker 1: why we have you on here. What do you think 135 00:07:21,880 --> 00:07:25,680 Speaker 1: about Elon Musk putting out a pole which may be 136 00:07:25,760 --> 00:07:29,239 Speaker 1: a little bit imprecise as far as saying, hey, should 137 00:07:29,280 --> 00:07:30,920 Speaker 1: I stay on as the head of Twitter or not? 138 00:07:31,040 --> 00:07:34,080 Speaker 1: And of course you know, the liberals who are primarily 139 00:07:34,120 --> 00:07:37,600 Speaker 1: more on Twitter than conservatives, I would say, voted him 140 00:07:37,600 --> 00:07:39,720 Speaker 1: out something like fifty eight forty two I believe was 141 00:07:39,720 --> 00:07:42,520 Speaker 1: the final tally, and now he's actually going to abide 142 00:07:42,520 --> 00:07:46,280 Speaker 1: by this poll. So why does the world's richest man, 143 00:07:46,400 --> 00:07:49,480 Speaker 1: spend forty four billion with the b dollars to run 144 00:07:49,520 --> 00:07:52,840 Speaker 1: it for basically five minutes. Made some major changes, don't 145 00:07:52,840 --> 00:07:56,160 Speaker 1: get me wrong, changed the toxic culture. I think Exposed 146 00:07:56,680 --> 00:08:00,880 Speaker 1: showed the receipts as far as shadow banning, and also 147 00:08:01,320 --> 00:08:04,880 Speaker 1: obviously showing the collusion that went on between the FBI 148 00:08:05,000 --> 00:08:08,000 Speaker 1: and the Yole Roth, the head of Sight Integrity over 149 00:08:08,040 --> 00:08:12,160 Speaker 1: a Twitter, as far as suppressing censoring and killing the 150 00:08:12,240 --> 00:08:14,920 Speaker 1: Hunter Biden laptop story. So he's put so much out 151 00:08:14,960 --> 00:08:17,440 Speaker 1: there right now that really has changed the game. And 152 00:08:17,480 --> 00:08:20,600 Speaker 1: I hope now this has a chilling effect into Facebook 153 00:08:20,640 --> 00:08:23,480 Speaker 1: and Google as far as maybe some whistleblowers coming forth 154 00:08:23,640 --> 00:08:25,440 Speaker 1: from there, because you know, this is going on everywhere 155 00:08:25,440 --> 00:08:27,880 Speaker 1: within big tech and Silicon Valley and social media and 156 00:08:27,880 --> 00:08:31,520 Speaker 1: so on. So overall, why is Musk doing this where 157 00:08:31,520 --> 00:08:33,200 Speaker 1: he's got I know, he has other companies to run, 158 00:08:33,240 --> 00:08:34,680 Speaker 1: but I know you want to jump in here, so 159 00:08:34,720 --> 00:08:36,880 Speaker 1: go ahead and take it away. Yeah. No, I mean 160 00:08:37,000 --> 00:08:40,680 Speaker 1: I certainly don't think that Elon Musk puts up a 161 00:08:40,720 --> 00:08:44,080 Speaker 1: pole unless he has a plan behind it. I mean, 162 00:08:44,120 --> 00:08:48,480 Speaker 1: he certainly knew or was tipping this scale on what 163 00:08:48,600 --> 00:08:51,400 Speaker 1: that poll's outcome was going to be, and that gives 164 00:08:51,480 --> 00:08:54,840 Speaker 1: him an excuse perhaps to go back to focusing more 165 00:08:54,960 --> 00:08:59,199 Speaker 1: on says SpaceX, neurallyink all the other things that he does, 166 00:08:59,240 --> 00:09:03,920 Speaker 1: and perhaps in a sea level executive, although a very 167 00:09:04,000 --> 00:09:06,760 Speaker 1: thankless job, I'm not sure who would want that. I 168 00:09:06,800 --> 00:09:10,400 Speaker 1: do think that Musk made a huge valuation mistake. He 169 00:09:10,679 --> 00:09:14,800 Speaker 1: far overpaid for Twitter. That forty four billion was just 170 00:09:14,880 --> 00:09:20,480 Speaker 1: an insane price given the company's lack of profitability and 171 00:09:20,840 --> 00:09:23,760 Speaker 1: where the market's been. He literally bought at the top 172 00:09:23,800 --> 00:09:27,720 Speaker 1: of the markets. And you know, yes, he's done some 173 00:09:27,840 --> 00:09:30,880 Speaker 1: good things in terms of exposing what frankly we all knew, 174 00:09:30,960 --> 00:09:34,680 Speaker 1: but just giving the halfs behind you know, what we 175 00:09:34,800 --> 00:09:37,720 Speaker 1: knew was going on in terms of collusion between social 176 00:09:37,760 --> 00:09:41,520 Speaker 1: media and the government and violation of our First Amendment rights. 177 00:09:41,840 --> 00:09:45,200 Speaker 1: In my opinion, but I've got to think you don't 178 00:09:45,200 --> 00:09:48,040 Speaker 1: get to be one of the wealthiest men in the 179 00:09:48,040 --> 00:09:52,760 Speaker 1: world without having, you know, some sort of plan. And 180 00:09:52,880 --> 00:09:54,840 Speaker 1: even though I do think that he made that mistake 181 00:09:54,880 --> 00:09:58,120 Speaker 1: in terms of overpaying for Twitter, I don't really think 182 00:09:58,160 --> 00:10:01,840 Speaker 1: that he's living in dying by the polls as much 183 00:10:01,880 --> 00:10:05,120 Speaker 1: as some other people may may anticipate. And we're talking 184 00:10:05,160 --> 00:10:07,080 Speaker 1: to Carol Roth, you know what, I think that in 185 00:10:07,160 --> 00:10:10,240 Speaker 1: terms of his business decisions around Tesla or SpaceX, and 186 00:10:10,280 --> 00:10:11,960 Speaker 1: I could go down the list in terms of what 187 00:10:12,000 --> 00:10:15,160 Speaker 1: made him the world's richest man. I think with Twitter, 188 00:10:15,280 --> 00:10:18,000 Speaker 1: it was an emotional thing. It was something that was 189 00:10:18,120 --> 00:10:21,360 Speaker 1: personal to him, that he saw something that he loved 190 00:10:21,440 --> 00:10:23,520 Speaker 1: using and decided, all right, you know what, I want 191 00:10:23,520 --> 00:10:24,959 Speaker 1: that to be my toy. And when you have all 192 00:10:25,000 --> 00:10:27,440 Speaker 1: this money, suddenly forty four billion is basically what you 193 00:10:27,480 --> 00:10:29,600 Speaker 1: used to tip the skycaps at the at the airport, 194 00:10:29,720 --> 00:10:32,400 Speaker 1: right it's it's I think this was something that he 195 00:10:32,480 --> 00:10:36,000 Speaker 1: maybe didn't think through as much. He just wanted Twitter. 196 00:10:36,280 --> 00:10:38,400 Speaker 1: He wanted to expose it for what he knew it was. 197 00:10:38,559 --> 00:10:40,680 Speaker 1: And if he takes a loss, then so be it. 198 00:10:40,760 --> 00:10:42,320 Speaker 1: The one thing I want to ask you about, though, 199 00:10:42,360 --> 00:10:44,040 Speaker 1: because you understand the stuff at her and I do. 200 00:10:44,400 --> 00:10:47,640 Speaker 1: When he purchased the company, I believe the stock was 201 00:10:47,679 --> 00:10:51,520 Speaker 1: somewhere around forty eight forty nine. It's now above fifty three. 202 00:10:51,760 --> 00:10:54,520 Speaker 1: Does that mean anything? That is that? And trust me, 203 00:10:54,640 --> 00:10:56,880 Speaker 1: the market, every everybody else has been taking a beating, 204 00:10:56,920 --> 00:10:59,679 Speaker 1: but Twitter has has jumped nicely. It was down the 205 00:10:59,679 --> 00:11:01,520 Speaker 1: third he won at one point this year now it's 206 00:11:01,559 --> 00:11:05,240 Speaker 1: almost doubled. So is that the Elon effect in terms 207 00:11:05,240 --> 00:11:06,840 Speaker 1: of trimming all the fat in terms of all the 208 00:11:07,400 --> 00:11:09,840 Speaker 1: employee layoffs of people who was obviously their jobs weren't 209 00:11:09,840 --> 00:11:11,800 Speaker 1: all that important. Of Twitter's running exactly the same way 210 00:11:11,800 --> 00:11:14,120 Speaker 1: it was before. Explained that to me. Yeah, no, I 211 00:11:14,120 --> 00:11:17,280 Speaker 1: mean he actually took it private, so it's not publicly 212 00:11:17,320 --> 00:11:21,800 Speaker 1: trading anymore. Oh so you may be looking at some 213 00:11:22,040 --> 00:11:26,040 Speaker 1: old data and you know, basically he owns the company 214 00:11:26,120 --> 00:11:29,480 Speaker 1: as a private company, a private entity. Now right about 215 00:11:29,480 --> 00:11:32,280 Speaker 1: that October twenty seven that closed at fifty three, Yes, 216 00:11:32,520 --> 00:11:35,040 Speaker 1: so yeah, so there was some very variability. But if 217 00:11:35,040 --> 00:11:37,400 Speaker 1: you look at the stock market and you look at 218 00:11:37,440 --> 00:11:40,880 Speaker 1: where Twitter likely would have been trading, I think that 219 00:11:40,960 --> 00:11:45,160 Speaker 1: your spot on that, you know, given where other technology 220 00:11:45,160 --> 00:11:47,599 Speaker 1: companies and social media companies had been trading. In the 221 00:11:47,640 --> 00:11:50,400 Speaker 1: fact that he bought it at the top, that you know, 222 00:11:50,559 --> 00:11:54,920 Speaker 1: he definitely overpaid, and you know, the stock was probably 223 00:11:54,920 --> 00:11:59,320 Speaker 1: worth a fraction, maybe twenty five percent of what he 224 00:11:59,360 --> 00:12:01,960 Speaker 1: paid for it. Let me ask you, Carol Roth, if 225 00:12:01,960 --> 00:12:03,480 Speaker 1: you've had all the money in the world, what company 226 00:12:03,520 --> 00:12:06,360 Speaker 1: would you buy just to change it? You don't care 227 00:12:06,360 --> 00:12:08,439 Speaker 1: about profit, You just want to go in there and say, 228 00:12:08,440 --> 00:12:10,600 Speaker 1: you know what, I love this place. I don't love 229 00:12:10,640 --> 00:12:12,120 Speaker 1: it as much as I used to. I'm gonna make 230 00:12:12,120 --> 00:12:14,360 Speaker 1: some changes. What would that be for you? I mean, 231 00:12:14,600 --> 00:12:17,400 Speaker 1: I think Twitter would have been at the top of it. 232 00:12:17,480 --> 00:12:20,600 Speaker 1: But I think you know where I differ from Elon 233 00:12:20,720 --> 00:12:23,080 Speaker 1: Musk because I wouldn't want to be out in front. 234 00:12:23,120 --> 00:12:25,520 Speaker 1: I would wouldn't do it kind of behind the scenes 235 00:12:25,720 --> 00:12:28,280 Speaker 1: and have somebody else do that front person because it 236 00:12:28,360 --> 00:12:31,000 Speaker 1: really is a thankless job. It's something that people feel 237 00:12:31,080 --> 00:12:35,160 Speaker 1: very strongly about. People are tweeting, you know, means things 238 00:12:35,240 --> 00:12:37,840 Speaker 1: at you all day and want you to solve your 239 00:12:37,880 --> 00:12:42,320 Speaker 1: their personal problems. But I do think that it's an 240 00:12:42,360 --> 00:12:46,320 Speaker 1: important source in terms of news, in terms of you know, 241 00:12:46,640 --> 00:12:50,760 Speaker 1: a dialogue and discourse. It's an opportunity to create, you know, 242 00:12:50,800 --> 00:12:55,520 Speaker 1: some digital rights for individuals and to be a leader 243 00:12:55,559 --> 00:12:58,959 Speaker 1: in that social space. So I definitely would be on board, 244 00:12:59,200 --> 00:13:02,680 Speaker 1: um you know what the Twitter say, but I'd want 245 00:13:02,679 --> 00:13:04,679 Speaker 1: to be behind the scenes. And I think that, you know, 246 00:13:04,800 --> 00:13:07,720 Speaker 1: I think that's also another mistake that Elon Musk is making. 247 00:13:07,760 --> 00:13:11,640 Speaker 1: A Twitter is a community, it's not about him, and 248 00:13:11,679 --> 00:13:16,040 Speaker 1: I think that right now, the discussion is two centered about, 249 00:13:16,080 --> 00:13:19,480 Speaker 1: you know, around him, and that you know it would 250 00:13:19,520 --> 00:13:21,880 Speaker 1: make sense for him to kind of take a little 251 00:13:21,920 --> 00:13:24,960 Speaker 1: bit of a step back and let it play out 252 00:13:25,000 --> 00:13:27,319 Speaker 1: in all its glory. That makes complete sense because when 253 00:13:27,320 --> 00:13:30,400 Speaker 1: you think about that, Amazon has ten thousand job cuts 254 00:13:30,920 --> 00:13:34,080 Speaker 1: happening as we speak, and Jeff Bezos owns that, right. 255 00:13:34,080 --> 00:13:36,040 Speaker 1: But you never hear about Besos, the other billionaire, right 256 00:13:36,040 --> 00:13:38,520 Speaker 1: because he's not front and center. And Facebook, you know, 257 00:13:38,559 --> 00:13:40,559 Speaker 1: you don't hear about Suckerberg all that much. But eleven 258 00:13:40,600 --> 00:13:44,960 Speaker 1: thousand layoffs there, They're gonna be layoffs at Disney, hiring freezes, Microsoft, 259 00:13:45,080 --> 00:13:49,280 Speaker 1: you go down the list, Washington Post, ABCNBC, CNN, obviously 260 00:13:49,360 --> 00:13:52,400 Speaker 1: we've seen. It is just a blood bath in the 261 00:13:52,440 --> 00:13:55,320 Speaker 1: media and social media industry. Now at this point, okay, 262 00:13:55,320 --> 00:13:57,000 Speaker 1: we're gonna go to the fun part of this interview. 263 00:13:57,040 --> 00:14:04,840 Speaker 1: Carol Lightning round here, Okay, Mariah Carey or insert classic 264 00:14:05,400 --> 00:14:08,640 Speaker 1: singing person here, right like Nat King Cole, who do 265 00:14:08,679 --> 00:14:12,400 Speaker 1: you take? Um? You know, I I like them bulls. 266 00:14:12,920 --> 00:14:16,040 Speaker 1: I'm really funny. I love the Mariah Christmas song All 267 00:14:16,040 --> 00:14:18,680 Speaker 1: I Want from Christmas as you, But also my favorite 268 00:14:18,679 --> 00:14:22,080 Speaker 1: song is the Christmas song Chestnut's resting on an open fire. 269 00:14:22,160 --> 00:14:25,760 Speaker 1: So I'm I'm I'm a little little vintage and also 270 00:14:25,840 --> 00:14:28,160 Speaker 1: a little moderate, okay, And yes or no, Diehard a 271 00:14:28,200 --> 00:14:31,360 Speaker 1: Christmas movie, yes or no. Obviously Christmas movie as is 272 00:14:31,440 --> 00:14:35,680 Speaker 1: trading places. And you know, in terms of the things 273 00:14:35,680 --> 00:14:39,280 Speaker 1: that I do every Christmas, we watch bulls of those outstanding. 274 00:14:39,400 --> 00:14:42,000 Speaker 1: Never consider trading places. But yeah, Dan akroyd Eddie Murphy 275 00:14:42,000 --> 00:14:43,800 Speaker 1: believe that came out forty years ago this year, and 276 00:14:43,840 --> 00:14:46,720 Speaker 1: I should know that. Garroff, you are the author of 277 00:14:46,760 --> 00:14:48,600 Speaker 1: the war on small business, how the government used the 278 00:14:48,600 --> 00:14:51,400 Speaker 1: pandemic to crush the backbone of America. You have a 279 00:14:51,440 --> 00:14:54,000 Speaker 1: merry Christmas, a happy New Year, and by all means, 280 00:14:54,080 --> 00:14:56,640 Speaker 1: please do get better a bola. We could fight it 281 00:14:56,680 --> 00:15:02,360 Speaker 1: and you can too. Here the mainstream press talking about 282 00:15:02,400 --> 00:15:08,440 Speaker 1: this stuff. Sean Hannity is on the radio. Ah, that's 283 00:15:08,480 --> 00:15:10,480 Speaker 1: some happy Christmas I'm going on right here. I gotta 284 00:15:10,480 --> 00:15:12,560 Speaker 1: tell you, you you could do a radio show from anywhere. 285 00:15:12,600 --> 00:15:15,440 Speaker 1: And right now, Linda and I, along with ours any 286 00:15:15,520 --> 00:15:18,200 Speaker 1: others are on a beach shoting twenty percent as we 287 00:15:18,240 --> 00:15:20,080 Speaker 1: talk about this right now. So you think we're cold 288 00:15:20,160 --> 00:15:24,920 Speaker 1: New York now, of course not We're out of here, baby, Linda, 289 00:15:25,120 --> 00:15:28,200 Speaker 1: my love, how are you? I'm just fabulous? Is that right? 290 00:15:28,320 --> 00:15:30,680 Speaker 1: The final half hour, it's always the best half hour 291 00:15:30,720 --> 00:15:33,240 Speaker 1: of the show. Any big Christmas plans, Well, you know, 292 00:15:33,280 --> 00:15:35,120 Speaker 1: I figure it's gonna take me about thirteen years to 293 00:15:35,120 --> 00:15:38,600 Speaker 1: get home in traffic tonight. So I'm looking forward to 294 00:15:38,600 --> 00:15:41,920 Speaker 1: celebrating Christmas with my adult children. Yeah, that's how old 295 00:15:41,960 --> 00:15:43,480 Speaker 1: they'll be by the time I get done with all this. 296 00:15:43,720 --> 00:15:46,120 Speaker 1: I always had a rule when I went to any job, 297 00:15:46,160 --> 00:15:48,000 Speaker 1: and that is not to set foot in three states 298 00:15:48,000 --> 00:15:50,400 Speaker 1: while I'm trying to commute. And sure enough, that's you dude. 299 00:15:50,440 --> 00:15:54,000 Speaker 1: It's incredible. Like I really I hate to be on 300 00:15:54,120 --> 00:15:56,280 Speaker 1: tilts about traffic because it's silly, but I think a 301 00:15:56,280 --> 00:15:58,560 Speaker 1: lot of us are going through it right because the 302 00:15:58,600 --> 00:16:01,880 Speaker 1: ineptitude spreads right. And there's a lot of people who 303 00:16:02,360 --> 00:16:04,560 Speaker 1: you're going to meet today on the roads and tomorrow 304 00:16:04,600 --> 00:16:06,640 Speaker 1: it's it's gonna be their first day driving. And that's 305 00:16:06,680 --> 00:16:08,480 Speaker 1: the only excuse I can come up with, because the 306 00:16:08,680 --> 00:16:11,120 Speaker 1: level of mistakes that are happening, in the frequency at 307 00:16:11,120 --> 00:16:13,600 Speaker 1: which they happen, yes, it's got to be their first day. 308 00:16:13,760 --> 00:16:15,520 Speaker 1: You know what. My theory is Actually, it's not a 309 00:16:15,520 --> 00:16:18,920 Speaker 1: theory because I've seen it in real time. Everybody. I'll 310 00:16:18,960 --> 00:16:22,400 Speaker 1: say seventy seven percent of drivers are looking at their 311 00:16:22,440 --> 00:16:25,040 Speaker 1: phones while they're driving. Oh my god. Okay, so do 312 00:16:25,080 --> 00:16:27,960 Speaker 1: you have talk to text in your phone in your car? Yeah? Okay, 313 00:16:28,080 --> 00:16:30,240 Speaker 1: I would die without this. And I'm not kidding. I 314 00:16:30,280 --> 00:16:33,560 Speaker 1: cannot text. I can't even text him walk. I can't 315 00:16:33,560 --> 00:16:37,080 Speaker 1: even use both thumbs. I'm a single thumb texter. Okay. Yeah, 316 00:16:37,080 --> 00:16:40,080 Speaker 1: I'm very old school. I'm not about it. I'm not 317 00:16:40,120 --> 00:16:41,880 Speaker 1: mad at it, but I just can't do it. And 318 00:16:41,880 --> 00:16:44,160 Speaker 1: it's fine. We all know our limitations. These are mine. 319 00:16:44,560 --> 00:16:47,120 Speaker 1: I am driving, and I'm not gonna say what speed 320 00:16:47,120 --> 00:16:48,360 Speaker 1: I was doing, So it might have been a little 321 00:16:48,360 --> 00:16:51,040 Speaker 1: faster than the appropriate sixty five, but moving on, it 322 00:16:51,120 --> 00:16:52,760 Speaker 1: might be ninety six. It might be, but you know 323 00:16:52,800 --> 00:16:55,520 Speaker 1: who's judging. And the guy next to me, who's keeping 324 00:16:55,600 --> 00:16:58,720 Speaker 1: up with me is texting and has his knee on 325 00:16:58,760 --> 00:17:01,840 Speaker 1: the wheel, and I'm like, oh my god, dude, we're 326 00:17:01,920 --> 00:17:04,720 Speaker 1: on the turnpike. Like at some point, wow, I can 327 00:17:04,720 --> 00:17:07,600 Speaker 1: see when you're in Manhattan and maybe you've been sitting 328 00:17:07,640 --> 00:17:09,760 Speaker 1: on the same Coral Street for I don't know an hour. 329 00:17:10,080 --> 00:17:12,680 Speaker 1: I feel you. I'm with you. I'm using my hands too. 330 00:17:12,720 --> 00:17:15,480 Speaker 1: But come on, they would say, if you're say, drunk 331 00:17:15,560 --> 00:17:18,479 Speaker 1: driving right, and let's say you're at point one zero right, 332 00:17:18,600 --> 00:17:21,840 Speaker 1: slightly above the legal limit, that your reaction time slows 333 00:17:21,880 --> 00:17:23,679 Speaker 1: by something like a half a second to a second. 334 00:17:24,200 --> 00:17:28,040 Speaker 1: Then you think about texting, your reaction time is sometimes 335 00:17:28,080 --> 00:17:31,200 Speaker 1: three four five seconds before you're even looking up. Yeah, 336 00:17:31,240 --> 00:17:33,199 Speaker 1: you're immersed in your phone. You don't even realize that. 337 00:17:33,200 --> 00:17:36,600 Speaker 1: And you assume every accent that I've seen, the person 338 00:17:36,640 --> 00:17:38,800 Speaker 1: that got into the accent usually is rear ending somebody 339 00:17:38,800 --> 00:17:41,119 Speaker 1: from behind, assumes that traffic is going to continue at 340 00:17:41,160 --> 00:17:43,240 Speaker 1: a normal pace. But anyway, I think we believe we've 341 00:17:43,240 --> 00:17:44,760 Speaker 1: got off on a tangent because we're gonna talk about 342 00:17:44,760 --> 00:17:47,119 Speaker 1: my book, right, which is, come on, man, the Truth 343 00:17:47,119 --> 00:17:50,439 Speaker 1: about Joe Biden's terrible, horrible, no good, very bad Presidency. 344 00:17:50,440 --> 00:17:52,320 Speaker 1: I gotta get a shorter title for my next book, which, 345 00:17:52,359 --> 00:17:55,600 Speaker 1: by the way, the new contract came back today from 346 00:17:55,600 --> 00:17:57,280 Speaker 1: the lovely people at Harper Collins, So I have a 347 00:17:57,320 --> 00:18:00,359 Speaker 1: second book coming in twenty twenty three. I got the bug, Glynn, 348 00:18:00,600 --> 00:18:02,760 Speaker 1: So is this now going to be about Hunter? Because 349 00:18:02,800 --> 00:18:05,720 Speaker 1: the first one was about Joe. No, well, there'll be 350 00:18:05,760 --> 00:18:07,920 Speaker 1: some hunter in there, no question. It's called not your 351 00:18:07,960 --> 00:18:12,159 Speaker 1: Daddy's Donkeys. Oh god, yes, it's not about farm animals 352 00:18:12,200 --> 00:18:14,960 Speaker 1: or anything like that. That's that's a conversation for after work. 353 00:18:15,119 --> 00:18:18,000 Speaker 1: I got it, Yes, But now it's basically about the 354 00:18:18,080 --> 00:18:22,320 Speaker 1: donkey obviously is the mascot of the Democratic Party and 355 00:18:22,520 --> 00:18:25,760 Speaker 1: your Daddy's donkeys. For instance, John F. Kennedy, if you 356 00:18:25,760 --> 00:18:27,639 Speaker 1: look at his platform. I went back and I've already 357 00:18:27,680 --> 00:18:31,680 Speaker 1: researching for this book. He's a Republican, mister Kennedy, right, 358 00:18:32,080 --> 00:18:35,040 Speaker 1: he was big time strong and military, stand up to 359 00:18:35,080 --> 00:18:39,280 Speaker 1: the Soviets, cut taxes. You know, ask not what your 360 00:18:39,280 --> 00:18:40,800 Speaker 1: country can do for you, ask what you can do 361 00:18:40,800 --> 00:18:44,680 Speaker 1: for your country. That sounds very republican, Neaue to me. Right, Well, 362 00:18:44,720 --> 00:18:46,960 Speaker 1: I mean I think if we're being honest, you probably 363 00:18:47,000 --> 00:18:48,600 Speaker 1: would agree with us. A lot of people have the 364 00:18:48,640 --> 00:18:53,520 Speaker 1: expression a Reagan Democrat, a Kennedy Republican, because back in 365 00:18:53,600 --> 00:18:55,479 Speaker 1: the day those lines were not as harsh as they 366 00:18:55,480 --> 00:18:58,159 Speaker 1: are today. I think. So that's what I've learned. You 367 00:18:58,240 --> 00:19:01,639 Speaker 1: know that Jimmy Carter was pro life president and he 368 00:19:01,680 --> 00:19:04,200 Speaker 1: was a Democrat. I didn't know that, actually, how is 369 00:19:04,200 --> 00:19:06,600 Speaker 1: he going to get through the nomination process today. Let's say, 370 00:19:06,680 --> 00:19:09,359 Speaker 1: like if Jimmy Carter two Dotto somehow was created and ran. 371 00:19:09,520 --> 00:19:12,520 Speaker 1: But don't you think back then, I mean, the pro 372 00:19:12,640 --> 00:19:14,719 Speaker 1: choice movement was really I feel like it's definitely more 373 00:19:14,720 --> 00:19:16,840 Speaker 1: of a seventies thing, you know for sure. Yeah, Like 374 00:19:16,880 --> 00:19:18,640 Speaker 1: I feel like those people who came up through though. 375 00:19:18,640 --> 00:19:20,919 Speaker 1: I mean, it wasn't even a conversation. Right, you're pregnant, 376 00:19:20,920 --> 00:19:23,000 Speaker 1: you had a baby, that was it. Basically the option 377 00:19:23,000 --> 00:19:25,280 Speaker 1: of murdering your child was never on the docket roll 378 00:19:25,359 --> 00:19:26,800 Speaker 1: versus Wade. Yeah, it was only a couple of years 379 00:19:26,840 --> 00:19:29,280 Speaker 1: before Carter was elected, so that makes sense. But still 380 00:19:29,359 --> 00:19:31,960 Speaker 1: just just to think about that. And then Clinton and 381 00:19:32,000 --> 00:19:34,199 Speaker 1: I talked about this with Carol Roth. This is a 382 00:19:34,240 --> 00:19:38,400 Speaker 1: guy who worked with Republicans for his own self survival, 383 00:19:38,520 --> 00:19:41,560 Speaker 1: right because his polling was in the toilet. He got 384 00:19:41,560 --> 00:19:43,400 Speaker 1: slacked in the mid terms, and he could have done 385 00:19:43,400 --> 00:19:44,960 Speaker 1: two things. He could have said, all right, I'm gonna 386 00:19:44,960 --> 00:19:46,320 Speaker 1: continue to go to the left, or maybe I'll work 387 00:19:46,320 --> 00:19:48,919 Speaker 1: with this Gangbridge guy over here, and we're gonna say 388 00:19:49,160 --> 00:19:51,560 Speaker 1: that the era of big government is over. Picture any 389 00:19:51,560 --> 00:19:55,120 Speaker 1: Democrats saying that now right passes welfare reform with Gangridge, 390 00:19:55,200 --> 00:19:57,439 Speaker 1: and it's something called a balanced budget amendment, where we 391 00:19:57,480 --> 00:19:59,240 Speaker 1: don't spend what we don't have, we actually have a 392 00:19:59,240 --> 00:20:01,320 Speaker 1: surf plus. I mean, these are things that when you 393 00:20:01,359 --> 00:20:05,200 Speaker 1: look back at some Democrats today, they wouldn't get past 394 00:20:05,320 --> 00:20:08,320 Speaker 1: three weeks of a Democratic primary before they have to 395 00:20:09,520 --> 00:20:11,960 Speaker 1: have to drop out. And the conclusion I come to 396 00:20:12,240 --> 00:20:16,240 Speaker 1: it's because of the CNN's MSNBC's woke New York Times, 397 00:20:16,240 --> 00:20:19,439 Speaker 1: Washington Post have all pushed them in this direction, and 398 00:20:19,480 --> 00:20:22,440 Speaker 1: if they go against that, they get eviscerated. Right, That's 399 00:20:22,440 --> 00:20:25,280 Speaker 1: how it works. So so I think if we look yesterday, 400 00:20:25,320 --> 00:20:26,960 Speaker 1: we were talking a little bit. I know, you had 401 00:20:27,000 --> 00:20:29,440 Speaker 1: this conversation a little bit Carroll too. You know, we're 402 00:20:29,480 --> 00:20:34,919 Speaker 1: looking at this ridiculous budget bill. Yeah, fourteen one hundred 403 00:20:35,000 --> 00:20:38,040 Speaker 1: and fifty five pages correct, and they want to pass it. 404 00:20:38,160 --> 00:20:40,600 Speaker 1: They've clearly not read it. But you know, as Pelosi says, 405 00:20:40,600 --> 00:20:42,119 Speaker 1: you got to pass it to read it. You know, 406 00:20:42,280 --> 00:20:44,040 Speaker 1: that's the way it works in Congress. I don't know 407 00:20:44,040 --> 00:20:45,640 Speaker 1: what's in the bell until we pay Listen, we got 408 00:20:45,640 --> 00:20:47,359 Speaker 1: to pass the bills. We can find out what's in it. 409 00:20:47,400 --> 00:20:50,040 Speaker 1: That's a direct quote right from you know, Queen of 410 00:20:50,080 --> 00:20:53,600 Speaker 1: the Denters. Okay, fine, So now we have this bill 411 00:20:54,119 --> 00:20:58,120 Speaker 1: that has very little allocation to anything that Americans really 412 00:20:58,160 --> 00:21:01,600 Speaker 1: care about, like can we look at refine natural gas? 413 00:21:01,640 --> 00:21:04,479 Speaker 1: Can we talk about, you know, getting people the permits 414 00:21:04,480 --> 00:21:06,199 Speaker 1: that they have on government lands, but maybe we can 415 00:21:06,240 --> 00:21:08,879 Speaker 1: actually do something about it because right now, the federal 416 00:21:08,880 --> 00:21:10,720 Speaker 1: funding isn't there for them to find out if there's 417 00:21:10,760 --> 00:21:13,880 Speaker 1: even anything there for them to or for no, no, no, 418 00:21:14,200 --> 00:21:24,440 Speaker 1: we are building LGBTQ, trans fluid, minority diverse amphitheaters, clubs, 419 00:21:25,000 --> 00:21:29,399 Speaker 1: community parks. I'm like, I'm sorry, I'm not saying you 420 00:21:29,440 --> 00:21:30,840 Speaker 1: can't have one or two of these, but we've got 421 00:21:30,840 --> 00:21:33,600 Speaker 1: billions of dollars allocated to this. And don't forget about 422 00:21:33,600 --> 00:21:37,280 Speaker 1: the three point six million for a Michelle Obama trail 423 00:21:37,400 --> 00:21:39,600 Speaker 1: enjoy Oh my god, I know. I'm like, listen, she 424 00:21:39,680 --> 00:21:42,000 Speaker 1: tried the guard and she tried the vegetables. That didn't work, 425 00:21:42,040 --> 00:21:44,679 Speaker 1: get her off the trail. It's enough, it's enough. And 426 00:21:44,720 --> 00:21:46,200 Speaker 1: then when you look at it, how does it cost 427 00:21:46,240 --> 00:21:48,480 Speaker 1: three point six million dollars? I made a bike trail 428 00:21:48,480 --> 00:21:50,280 Speaker 1: when I was young. I didn't even money to do it. Right, 429 00:21:50,440 --> 00:21:52,840 Speaker 1: get it rightly, Just get out there, get some work. 430 00:21:52,880 --> 00:21:54,720 Speaker 1: You know, we're gonna have plenty of people here to 431 00:21:54,760 --> 00:21:57,080 Speaker 1: work since we're letting them in by the thousands a day. Yeah, 432 00:21:57,240 --> 00:21:58,639 Speaker 1: isn't that why they said we had a lot of 433 00:21:58,680 --> 00:22:01,200 Speaker 1: men who said that was a pelosse Again, I think, yeah, yeah, 434 00:22:01,200 --> 00:22:02,919 Speaker 1: we're quoting her a lot of them too. Yeah, you know, 435 00:22:02,960 --> 00:22:05,479 Speaker 1: well she's just a wealth of wisdom. This trail is, 436 00:22:05,560 --> 00:22:11,879 Speaker 1: this is the shove already project play, sir, this is 437 00:22:11,920 --> 00:22:13,600 Speaker 1: why you have a book deal. You got little quips 438 00:22:13,600 --> 00:22:16,560 Speaker 1: like that. You're right, it's true. Your first you know, 439 00:22:16,680 --> 00:22:18,720 Speaker 1: come on, man, was amazing, and I think it would 440 00:22:18,720 --> 00:22:22,200 Speaker 1: be interesting, you know, even as your friend and your colleague. 441 00:22:22,240 --> 00:22:23,600 Speaker 1: You know, when you told me the title of book, 442 00:22:23,640 --> 00:22:25,360 Speaker 1: I'm like, first of all, I love the title. We're 443 00:22:25,400 --> 00:22:26,959 Speaker 1: going back a couple of years. And then I was like, 444 00:22:27,080 --> 00:22:29,120 Speaker 1: what are you doing for research? You're just like snipping 445 00:22:29,240 --> 00:22:32,040 Speaker 1: what you're here old day because it's not hard, right, 446 00:22:32,160 --> 00:22:34,800 Speaker 1: I mean, every day is like like we have Zelenski today, 447 00:22:34,840 --> 00:22:38,120 Speaker 1: forty five billion dollars to mister Zalinski because he's got 448 00:22:38,119 --> 00:22:39,520 Speaker 1: a major war going on, so we has time to 449 00:22:39,520 --> 00:22:42,520 Speaker 1: fly to DC. Come on, over and get some money 450 00:22:42,560 --> 00:22:44,879 Speaker 1: because we haven't given him enough right as he flown 451 00:22:45,000 --> 00:22:47,320 Speaker 1: to any other country to do a I don't he 452 00:22:47,520 --> 00:22:50,120 Speaker 1: zoomed in. There's lots of zooming, but here he comes 453 00:22:50,119 --> 00:22:52,000 Speaker 1: in person so that he can make Congress feel as 454 00:22:52,040 --> 00:22:54,879 Speaker 1: guilty as possible. Yeah, and try to get more billions 455 00:22:54,880 --> 00:22:57,040 Speaker 1: of dollars. I'm like, you'll listen, man, We've got homeless veterans, 456 00:22:57,480 --> 00:23:00,800 Speaker 1: we got homeless kids. People cannot pay their mortgages, they 457 00:23:00,800 --> 00:23:02,880 Speaker 1: can't feed their children. I'm really sorry about what's happening 458 00:23:02,880 --> 00:23:04,720 Speaker 1: in Ukraine. Could you ask Merkel if she wants to 459 00:23:04,720 --> 00:23:07,920 Speaker 1: put a couple of bucks in? Just asking exactly right? 460 00:23:07,960 --> 00:23:10,119 Speaker 1: And even who was it? Let's let's play that side 461 00:23:10,160 --> 00:23:14,040 Speaker 1: actually from Senator Kennedy, not John F. Kennedy, of course, 462 00:23:14,080 --> 00:23:17,239 Speaker 1: but but this would be Senator Kennedy of Louisiana. Uh. 463 00:23:17,400 --> 00:23:18,919 Speaker 1: And this this goes on for about a minute. But 464 00:23:19,000 --> 00:23:22,360 Speaker 1: he's just so good. I mean, talk about somebody who 465 00:23:22,480 --> 00:23:24,879 Speaker 1: was created to not only sit in the Senate but 466 00:23:25,000 --> 00:23:28,320 Speaker 1: made for cable news. Because man, just the analogies and 467 00:23:28,320 --> 00:23:30,960 Speaker 1: in the metaphors she uses are just perfect. But let's 468 00:23:31,000 --> 00:23:34,439 Speaker 1: play Senator Kennedy. He breaks down this bill perfectly in 469 00:23:34,560 --> 00:23:38,320 Speaker 1: terms of a microcosm of exactly what we are prioritizing 470 00:23:38,480 --> 00:23:41,240 Speaker 1: in said bill. Go, do we know what's in the bill? 471 00:23:41,280 --> 00:23:44,440 Speaker 1: It's forty two hundred pages, give or take. Is this 472 00:23:44,560 --> 00:23:47,399 Speaker 1: another instance he'll find out after we pass it that 473 00:23:47,520 --> 00:23:50,440 Speaker 1: that's no way to do things? How does it keep happening? Yes, 474 00:23:50,920 --> 00:23:53,439 Speaker 1: we don't, We don't know, we don't know what's senate 475 00:23:53,520 --> 00:23:57,440 Speaker 1: And yes we'll have to find out later. My staff 476 00:23:57,440 --> 00:24:00,800 Speaker 1: at and I we are going it right now. But 477 00:24:00,880 --> 00:24:04,480 Speaker 1: it's four thousand pages. There was a reporting last night, 478 00:24:04,520 --> 00:24:07,800 Speaker 1: for example, that the bill contains I think four hundred 479 00:24:07,880 --> 00:24:13,800 Speaker 1: million dollars to help Jordan, the country of Jordan's secure 480 00:24:13,840 --> 00:24:20,040 Speaker 1: its border. One one could marshall a pretty persuasive argument 481 00:24:20,720 --> 00:24:24,879 Speaker 1: that that's a pretty dumb thing to do. But look, 482 00:24:24,960 --> 00:24:29,240 Speaker 1: I have colleagues on the Republican side, as one was, 483 00:24:29,280 --> 00:24:31,679 Speaker 1: the Democratic side of the Senate. If they don't think 484 00:24:31,720 --> 00:24:34,920 Speaker 1: the spending makes any difference in terms of inflation, it 485 00:24:35,000 --> 00:24:39,600 Speaker 1: makes them raptoriously happy to spend money. If they ran 486 00:24:39,680 --> 00:24:42,240 Speaker 1: out of money, they'd be happy to slap a second 487 00:24:42,320 --> 00:24:46,880 Speaker 1: mortgage or adverse mortgage on Alaska and keep spending. I'd 488 00:24:46,920 --> 00:24:49,399 Speaker 1: like to reverse mortgage analogy? Have you done the reverse mortgage? 489 00:24:49,440 --> 00:24:51,159 Speaker 1: By the way, because Tom Sellick said I should. I 490 00:24:51,240 --> 00:24:54,600 Speaker 1: really love Tom Selleck and essentially anything Tom Selleck says 491 00:24:54,680 --> 00:24:57,600 Speaker 1: I would do, just like Courtney Cox. You know, it's awesome. 492 00:24:57,800 --> 00:25:00,240 Speaker 1: He's amazing. He was Tom times before Tom cur It's 493 00:25:00,240 --> 00:25:03,680 Speaker 1: like bac and PI was what cannot hold a candle 494 00:25:03,720 --> 00:25:06,560 Speaker 1: to Tom Sello. I'm sorry, any I forget about it. Really, 495 00:25:07,160 --> 00:25:09,840 Speaker 1: Tom secks elg you know Tom Cruise is a wanna 496 00:25:09,840 --> 00:25:12,879 Speaker 1: base so single Linda at thirty eight would consider a 497 00:25:13,080 --> 00:25:17,239 Speaker 1: Tom Cruise rendezvous Tom Selleck, Tom Selleck s a lot 498 00:25:17,280 --> 00:25:20,320 Speaker 1: of Tom's. Yes, it's never going to be Tom Cruise. Okay, no, 499 00:25:20,440 --> 00:25:23,479 Speaker 1: thank you, right too almost. I don't know, just a 500 00:25:23,480 --> 00:25:26,160 Speaker 1: lot of things, you know, scientology being like a big 501 00:25:26,200 --> 00:25:29,600 Speaker 1: one of them, huge, right. You know they say marriages, 502 00:25:29,640 --> 00:25:32,439 Speaker 1: it's like money, religion, politics. Yeah, yeah, that's not a thing. 503 00:25:33,359 --> 00:25:36,040 Speaker 1: It's scientology. Yeah. I would say ninety one ninety one, 504 00:25:36,080 --> 00:25:38,080 Speaker 1: you know that high? All right, very good? Yeah. I 505 00:25:38,520 --> 00:25:40,920 Speaker 1: mean just the fact that we're spending let's see, four 506 00:25:41,000 --> 00:25:44,960 Speaker 1: hundred million dollars for Jordan, the country of Jordan's border 507 00:25:44,960 --> 00:25:47,680 Speaker 1: security right, four hundred million am I saying that correctly? Okay? 508 00:25:47,920 --> 00:25:50,119 Speaker 1: Are yeah? That's and how much are we spending on 509 00:25:50,160 --> 00:25:53,680 Speaker 1: our US southern border? Oh? I'm sorry, what was the question. 510 00:25:53,960 --> 00:25:57,240 Speaker 1: The question is okay, four hundred million for Jordan's border security. 511 00:25:57,400 --> 00:26:00,399 Speaker 1: Is that near Arizona or Singapore which is where Kamala 512 00:26:00,440 --> 00:26:02,399 Speaker 1: and Jogo When you mentioned the border just so you know, 513 00:26:02,560 --> 00:26:04,840 Speaker 1: let's see, not near Arizona at last check, or Texas 514 00:26:04,960 --> 00:26:08,439 Speaker 1: or California or any US borders. It's insane, it's I know, 515 00:26:08,800 --> 00:26:11,000 Speaker 1: I don't even And the thing is, there's just this 516 00:26:11,160 --> 00:26:14,320 Speaker 1: malaise out there from so many folks that no one's 517 00:26:14,920 --> 00:26:16,560 Speaker 1: If you go to like a Christmas party this week, 518 00:26:16,600 --> 00:26:18,119 Speaker 1: I'm pretty sure not to many people are going to 519 00:26:18,160 --> 00:26:20,760 Speaker 1: talk about this. Not only are they not talking about it, Yeah, 520 00:26:20,800 --> 00:26:23,480 Speaker 1: they don't know about it. And if you bring it up, 521 00:26:23,920 --> 00:26:27,920 Speaker 1: the first thing that comes up every without without missing abatis, 522 00:26:28,600 --> 00:26:32,000 Speaker 1: we are a nation of immigrants. I'm sorry, I'm sorry. 523 00:26:32,200 --> 00:26:34,879 Speaker 1: We can all harken back to you know, give me 524 00:26:34,920 --> 00:26:36,879 Speaker 1: you're tired, you're poor, That's fine, we can do that 525 00:26:36,920 --> 00:26:38,679 Speaker 1: all day long. We can also talk about the Statue 526 00:26:38,680 --> 00:26:41,480 Speaker 1: of Liberty and Ellis Island. None of these people are 527 00:26:41,520 --> 00:26:44,080 Speaker 1: doing that, not to mention by the same token, there's 528 00:26:44,160 --> 00:26:46,159 Speaker 1: thousands of people in the United States doing it the 529 00:26:46,240 --> 00:26:48,920 Speaker 1: legal way, paying thousands and thousands of dollars to immigration 530 00:26:48,920 --> 00:26:51,920 Speaker 1: attorneys who are being thrown out because their work visa 531 00:26:52,000 --> 00:26:54,480 Speaker 1: expired or because they overstayed a green you know, not 532 00:26:54,520 --> 00:26:56,919 Speaker 1: a green card, another pisa that I can't think of 533 00:26:56,960 --> 00:26:59,240 Speaker 1: the name of right now. But we've got SIV holders 534 00:26:59,240 --> 00:27:02,080 Speaker 1: in Afghanistan. I've got American citizens in Afghanistan who are 535 00:27:02,080 --> 00:27:04,479 Speaker 1: sitting there in the depths of despair, and we've forgotten 536 00:27:04,520 --> 00:27:08,080 Speaker 1: about them. That whole no man left behind thing, right, 537 00:27:08,160 --> 00:27:11,160 Speaker 1: it's completely lost on Joe Biden. And here's the thing. 538 00:27:11,359 --> 00:27:14,320 Speaker 1: When you take away title forty two, you're talking about 539 00:27:14,359 --> 00:27:17,400 Speaker 1: up to eighteen thousand people entering this country every day. Right, 540 00:27:17,640 --> 00:27:20,440 Speaker 1: So Masson Square Garden is what about twenty blocks south 541 00:27:20,440 --> 00:27:21,960 Speaker 1: of here, or you go see a Ranger game in 542 00:27:22,000 --> 00:27:25,119 Speaker 1: Nick game, or where you live in Philadelphia, First Union, 543 00:27:25,280 --> 00:27:28,680 Speaker 1: whatever it may be. It's like filling those arenas every day, 544 00:27:28,760 --> 00:27:31,320 Speaker 1: and that many people come in, right, and now you're 545 00:27:31,359 --> 00:27:33,680 Speaker 1: looking at something like more than six million people coming 546 00:27:33,720 --> 00:27:36,480 Speaker 1: in next year, six million. And my wife it works 547 00:27:36,480 --> 00:27:40,880 Speaker 1: in healthcare and trust me, it's already overrun. It's already overwhelmed. 548 00:27:40,880 --> 00:27:42,879 Speaker 1: There simply are not enough doctors for the number of 549 00:27:42,880 --> 00:27:45,439 Speaker 1: patients that are coming in. Can you imagine what this 550 00:27:45,520 --> 00:27:47,399 Speaker 1: is going to do to that or our education system? 551 00:27:47,440 --> 00:27:49,840 Speaker 1: And forget about the Fentenel. You went exactly where I 552 00:27:49,880 --> 00:27:52,480 Speaker 1: wanted to go, which is the education system as parents. 553 00:27:53,200 --> 00:27:55,719 Speaker 1: This to me is the most troubling aspect. Right. So 554 00:27:56,040 --> 00:27:58,840 Speaker 1: our kids have been threatened with so many things over 555 00:27:58,840 --> 00:28:01,159 Speaker 1: the past three years in this pandemic as they call it, 556 00:28:01,520 --> 00:28:03,760 Speaker 1: and that word only applies when it suits them, right, 557 00:28:04,080 --> 00:28:07,439 Speaker 1: And then we've got thousands upon thousands now in the 558 00:28:07,520 --> 00:28:10,160 Speaker 1: upwards of hundreds of thousands, like the likes we've never 559 00:28:10,200 --> 00:28:14,400 Speaker 1: seen before. No checks, no balances, They're just coming in. 560 00:28:14,800 --> 00:28:18,520 Speaker 1: We're giving them tense in parking lots, rooms and hostels, 561 00:28:18,640 --> 00:28:21,919 Speaker 1: food phone plants, and they're in our public education system. 562 00:28:22,320 --> 00:28:24,520 Speaker 1: What is that doing to American kids? They don't speak 563 00:28:24,520 --> 00:28:27,960 Speaker 1: the language, they have no assimilation. There aren't enough eesl 564 00:28:28,080 --> 00:28:31,080 Speaker 1: teachers in the world to handle this influx. I'm sorry, 565 00:28:31,200 --> 00:28:34,200 Speaker 1: You're precisely right. All I know is that before the pandemic, 566 00:28:34,200 --> 00:28:36,080 Speaker 1: we were in twenty fifth in the world and reading 567 00:28:36,160 --> 00:28:39,000 Speaker 1: writing math and science. Guess it was number one. Starts 568 00:28:39,000 --> 00:28:41,560 Speaker 1: with a C and ends with an A. China. You 569 00:28:41,600 --> 00:28:43,880 Speaker 1: know why because while we're debating and I think it 570 00:28:43,920 --> 00:28:45,200 Speaker 1: was Bill Maher who said this, but it was a 571 00:28:45,200 --> 00:28:49,080 Speaker 1: great line. While they're building bridges, we're debating on what 572 00:28:49,160 --> 00:28:51,440 Speaker 1: to rename them. And it was a great line. And 573 00:28:51,480 --> 00:28:54,520 Speaker 1: it's true, right our priorities. Say that again, Say that again. 574 00:28:54,600 --> 00:28:58,160 Speaker 1: I'll say it again. Bill Maher once said that while 575 00:28:58,240 --> 00:29:02,920 Speaker 1: China is building bridges in schools, we are debating on 576 00:29:02,920 --> 00:29:08,400 Speaker 1: what to rename them. Right, that that's basically perfect example 577 00:29:08,400 --> 00:29:11,160 Speaker 1: this week. There you go anyway. I can talk about 578 00:29:11,160 --> 00:29:13,240 Speaker 1: this all day, but basically, just to put a little 579 00:29:13,240 --> 00:29:15,720 Speaker 1: bow on come on man, my book that came out 580 00:29:15,720 --> 00:29:19,400 Speaker 1: in September bestseller. The research was done all by me, 581 00:29:19,840 --> 00:29:22,520 Speaker 1: and it wasn't hard with the Google machine and other 582 00:29:22,560 --> 00:29:24,640 Speaker 1: things that you could do from your phone when you're 583 00:29:24,720 --> 00:29:27,040 Speaker 1: waiting on a subway or whatever else like that. And 584 00:29:27,120 --> 00:29:30,000 Speaker 1: the thing wrote itself. And it's not just Joe Biden 585 00:29:30,040 --> 00:29:31,920 Speaker 1: at eighty and oh you know his age and he's 586 00:29:31,920 --> 00:29:33,560 Speaker 1: starting to lose it. You go all the way back 587 00:29:33,560 --> 00:29:35,760 Speaker 1: to his early twenties. This is who this man has 588 00:29:35,760 --> 00:29:39,760 Speaker 1: always been a compulsive liar and incompetent and somehow failed 589 00:29:39,760 --> 00:29:41,760 Speaker 1: his way all the way up. Usually there's a ceiling 590 00:29:41,760 --> 00:29:43,479 Speaker 1: on the failing up part. He got all the way 591 00:29:43,480 --> 00:29:46,560 Speaker 1: at a White House, and now we are seeing the 592 00:29:46,600 --> 00:29:49,280 Speaker 1: results of that. Where as a senator you can mock him, 593 00:29:49,280 --> 00:29:50,720 Speaker 1: and as a vice president you can mock him because 594 00:29:50,720 --> 00:29:52,360 Speaker 1: he doesn't have a lot of power. Now he has 595 00:29:52,360 --> 00:29:53,960 Speaker 1: a lot of power, and we're seeing what he's doing 596 00:29:53,960 --> 00:29:56,480 Speaker 1: with that power, and it's downright scaring a whole bowl 597 00:29:56,520 --> 00:29:58,480 Speaker 1: a wrong. Joe Conshent filling in for Seawan Hannity, The 598 00:29:58,480 --> 00:30:22,280 Speaker 1: Shawan Hannity's Show. We wrapped puppy up in just a moment. Well, 599 00:30:22,280 --> 00:30:24,840 Speaker 1: that was fast. Thanks for tuning in, everybody. Joe Concho 600 00:30:24,880 --> 00:30:26,800 Speaker 1: had a great time here. I'm speaking to the third 601 00:30:26,840 --> 00:30:29,840 Speaker 1: person in for Sean Hannity. Thank you to Carol Roth 602 00:30:30,600 --> 00:30:34,640 Speaker 1: fighting illness and still joined us from Chicago, the great 603 00:30:34,680 --> 00:30:38,320 Speaker 1: Greg Jared and Sarah Carter and her tremendous reporting from 604 00:30:38,360 --> 00:30:40,880 Speaker 1: the border. I'm Joe Concha. You have a merry Christmas 605 00:30:40,960 --> 00:30:42,640 Speaker 1: and a happy New Year. We'll talk to you soon.