1 00:00:00,960 --> 00:00:15,600 Speaker 1: You are entering the freedom hunt more good economic news, 2 00:00:15,640 --> 00:00:19,480 Speaker 1: which of course upsets Democrats. They are rooting for a recession. 3 00:00:19,520 --> 00:00:23,119 Speaker 1: They're looking for a narrative to use against Trump coming 4 00:00:23,200 --> 00:00:25,680 Speaker 1: up in the election. We'll get into that, and also 5 00:00:25,880 --> 00:00:29,200 Speaker 1: how upset the left has become. That looks like Trump 6 00:00:29,400 --> 00:00:31,680 Speaker 1: is going to be building that wall after all. We've 7 00:00:31,680 --> 00:00:34,720 Speaker 1: got that a more coming up Freestyle Friday in a moment. 8 00:00:35,360 --> 00:00:39,040 Speaker 1: This is the Buck Sexton Show, where the mission or 9 00:00:39,120 --> 00:00:43,240 Speaker 1: mission is to decode what really matters with actionable intelligence. 10 00:00:45,440 --> 00:00:48,440 Speaker 1: Make no mistake American? Ready, great, You're a great American? 11 00:00:48,520 --> 00:00:56,400 Speaker 1: Again The Buck Sexton Show begins. Analyst, he's a great guy. No, 12 00:00:58,680 --> 00:01:01,880 Speaker 1: I think I'm the hood. These job numbers were very powerful, 13 00:01:02,040 --> 00:01:08,400 Speaker 1: consumer confidence, absolute blowout. We've seen a little softness in production, 14 00:01:09,040 --> 00:01:13,360 Speaker 1: variable goods and cap spending. That happens along a cycle. 15 00:01:13,720 --> 00:01:16,039 Speaker 1: You know, you go up and down. As a rule 16 00:01:16,080 --> 00:01:21,000 Speaker 1: of thumb, back of the envelope. Real GDP equals productivity 17 00:01:21,360 --> 00:01:24,959 Speaker 1: plus employment growth. That gets you to over three percent 18 00:01:25,120 --> 00:01:29,800 Speaker 1: right now. So if we remove some of the monetary 19 00:01:29,800 --> 00:01:34,200 Speaker 1: obstacles and we continue our incentives with low tax rates 20 00:01:34,280 --> 00:01:38,280 Speaker 1: and rollback of regulations and cheap and planetful energy. I'm 21 00:01:38,280 --> 00:01:41,240 Speaker 1: going to play this on the bullish side. We're not 22 00:01:41,360 --> 00:01:45,000 Speaker 1: forecasting or expecting a recession. Incoming data for the United 23 00:01:45,000 --> 00:01:48,240 Speaker 1: States suggest that the most likely outcome outlook for the 24 00:01:48,280 --> 00:01:52,080 Speaker 1: United States economy is still moderate growth, a strong labor market, 25 00:01:52,080 --> 00:01:54,800 Speaker 1: and inflation continuing to move back up. The labor market 26 00:01:54,840 --> 00:01:58,560 Speaker 1: continues to strengthen, so the consumers in good shape. And 27 00:01:58,960 --> 00:02:03,360 Speaker 1: really there's our main expectation is not at all that 28 00:02:03,400 --> 00:02:06,840 Speaker 1: there'll be a recession. Welcome to the Buck Sexton Show. 29 00:02:06,840 --> 00:02:10,760 Speaker 1: Everybody there. You have an overview what's going on the economy, 30 00:02:10,800 --> 00:02:13,639 Speaker 1: which is to most people, when they talk about politics, 31 00:02:13,639 --> 00:02:17,280 Speaker 1: they really care about how politics are affecting their pocketbooks, 32 00:02:17,360 --> 00:02:21,640 Speaker 1: their ability to pay their bills, the sense they have 33 00:02:21,800 --> 00:02:26,920 Speaker 1: of optimism for the future based on sending kids to 34 00:02:26,960 --> 00:02:31,560 Speaker 1: school and paying the mortgage, buying food, car payments. All 35 00:02:31,600 --> 00:02:33,440 Speaker 1: that's going really well. As Trump put it just a 36 00:02:33,440 --> 00:02:36,760 Speaker 1: few hours ago in a tweet, the economy is great. 37 00:02:37,400 --> 00:02:41,160 Speaker 1: The only thing adding to uncertainty is the fake news. 38 00:02:42,840 --> 00:02:44,360 Speaker 1: I love it when he calls them the fake news 39 00:02:44,360 --> 00:02:48,160 Speaker 1: because they deserve it, and the President won't back down 40 00:02:48,200 --> 00:02:51,800 Speaker 1: from it despite how enraged it makes them and the 41 00:02:51,880 --> 00:02:55,720 Speaker 1: President is right, in my opinion, to continue to hold 42 00:02:55,720 --> 00:02:57,760 Speaker 1: their feet to the fire and call it like he 43 00:02:57,800 --> 00:03:00,840 Speaker 1: sees it. But now let's just dig in for a moment. 44 00:03:01,040 --> 00:03:04,280 Speaker 1: I have a concern. This is really just me sharing 45 00:03:04,320 --> 00:03:09,640 Speaker 1: with all of you my worries for twenty twenty and 46 00:03:09,720 --> 00:03:12,639 Speaker 1: for the way that this is all going to shake out. 47 00:03:12,680 --> 00:03:14,799 Speaker 1: I know it's very early in the game. It's not 48 00:03:14,960 --> 00:03:18,119 Speaker 1: even not even twelve months. It's now thirteen months out, 49 00:03:18,360 --> 00:03:22,359 Speaker 1: or in a part of me, fourteen months out. But 50 00:03:22,720 --> 00:03:25,960 Speaker 1: we are already seeing the formation of core narratives. And 51 00:03:27,000 --> 00:03:30,000 Speaker 1: one thing that I can't get rid of is, at 52 00:03:30,080 --> 00:03:34,160 Speaker 1: least in my mind right now, maybe the American people 53 00:03:34,200 --> 00:03:37,640 Speaker 1: have forgotten what it's like when you have an administration 54 00:03:37,680 --> 00:03:40,280 Speaker 1: and a presidency that doesn't know what it's doing with 55 00:03:40,320 --> 00:03:44,480 Speaker 1: the economy, that is trying to convince you that things 56 00:03:44,520 --> 00:03:46,840 Speaker 1: aren't going to get much better in the future, and 57 00:03:48,040 --> 00:03:52,560 Speaker 1: deal with it. Sorry, forget about all your hopes and 58 00:03:52,640 --> 00:03:56,600 Speaker 1: dreams for a more prosperous future for your children and 59 00:03:56,880 --> 00:03:59,720 Speaker 1: for yourself. As you move on in years, you're just 60 00:03:59,720 --> 00:04:02,640 Speaker 1: going to have to accept that America is going to 61 00:04:02,680 --> 00:04:05,560 Speaker 1: get less wealthy. Things aren't going to be as good 62 00:04:05,640 --> 00:04:09,560 Speaker 1: and that's just the way it is. Because I remember 63 00:04:09,640 --> 00:04:11,720 Speaker 1: that during the Obama years. I remember people feeling like, 64 00:04:11,760 --> 00:04:13,920 Speaker 1: oh my gosh, is this really the way it's going 65 00:04:14,000 --> 00:04:19,240 Speaker 1: to be Economically, we're supposed to just accept being told, 66 00:04:19,279 --> 00:04:23,000 Speaker 1: being really scolded about how Yeah, you know, America's polluted 67 00:04:23,040 --> 00:04:25,359 Speaker 1: so much, we put all this CEO two in the air, 68 00:04:25,800 --> 00:04:28,919 Speaker 1: and we've exploited other countries and done all these bad things. 69 00:04:28,960 --> 00:04:31,440 Speaker 1: So if we need a little bit of tough medicine 70 00:04:31,520 --> 00:04:35,359 Speaker 1: right now, that's on us. That was a sense. It 71 00:04:35,480 --> 00:04:37,920 Speaker 1: was widespread, I remember, especially in the first four years 72 00:04:37,920 --> 00:04:42,279 Speaker 1: of Obama's presidency. And now there's a part of me 73 00:04:42,360 --> 00:04:46,200 Speaker 1: that is worried that things are too good and there'll 74 00:04:46,200 --> 00:04:50,479 Speaker 1: be a negative effect of that. That because unemployments three 75 00:04:50,480 --> 00:04:57,599 Speaker 1: point seven percent, because the job market, the playing field 76 00:04:57,640 --> 00:05:02,440 Speaker 1: for entrepreneurs, all the just manufacturing, I mean, all these 77 00:05:02,480 --> 00:05:05,200 Speaker 1: different areas. The only one that folks will point to 78 00:05:05,279 --> 00:05:07,080 Speaker 1: and say, oh, well, that's bad it's trade with China. 79 00:05:07,279 --> 00:05:10,640 Speaker 1: Because things are so good. I think that we forgot. 80 00:05:10,680 --> 00:05:12,960 Speaker 1: I think that too many Americans have forgotten what it's 81 00:05:12,960 --> 00:05:19,160 Speaker 1: like when they're bad. And so Trump's success becomes in 82 00:05:19,200 --> 00:05:22,240 Speaker 1: a way a liability because yeah, I guess this is 83 00:05:22,279 --> 00:05:24,080 Speaker 1: just supposed to be the way it is all the time. Right, 84 00:05:24,120 --> 00:05:26,920 Speaker 1: We're always going to be at sub for unemployment. We're 85 00:05:26,920 --> 00:05:29,400 Speaker 1: always going to have a stock market that keeps defying 86 00:05:29,440 --> 00:05:33,279 Speaker 1: the expectations of a crash, that keeps defying the Oh gosh, 87 00:05:33,320 --> 00:05:37,520 Speaker 1: the recessions coming talk a recession that's going to be 88 00:05:37,560 --> 00:05:39,360 Speaker 1: a lot of pain for a lot of millions of Americans. 89 00:05:39,440 --> 00:05:41,600 Speaker 1: People lose their homes, as their jobs, as their savings. 90 00:05:42,800 --> 00:05:46,280 Speaker 1: It hasn't happened yet, and maybe it's not going to 91 00:05:46,320 --> 00:05:48,200 Speaker 1: happen for quite some time. Maybe when it does happen, 92 00:05:48,200 --> 00:05:53,039 Speaker 1: it won't be that bad. But there are good ways 93 00:05:53,080 --> 00:05:55,000 Speaker 1: to run an economy. There are bad ways to run 94 00:05:55,000 --> 00:05:58,479 Speaker 1: an economy. There are good ways to do things, and 95 00:05:58,480 --> 00:05:59,680 Speaker 1: then there are ways that are going to make you 96 00:05:59,720 --> 00:06:04,640 Speaker 1: poor or more frustrated, have less freedom, promote less growth. 97 00:06:05,760 --> 00:06:09,480 Speaker 1: But to really understand that, maybe we maybe we've lost 98 00:06:09,480 --> 00:06:12,360 Speaker 1: sight of what it's like when things are going badly. 99 00:06:12,960 --> 00:06:15,600 Speaker 1: And I know that. See it's it's a paradoxical concern, 100 00:06:15,640 --> 00:06:19,480 Speaker 1: but I feel it these days. Here's another version of it. 101 00:06:19,800 --> 00:06:22,880 Speaker 1: Why do so many young people, young people, I mean, 102 00:06:22,920 --> 00:06:27,320 Speaker 1: I kind of still qualify great beard millennial that I am. 103 00:06:27,320 --> 00:06:31,680 Speaker 1: Why do so many young people have a growing affection 104 00:06:31,760 --> 00:06:35,160 Speaker 1: for socialism and with it, for for central planning, for 105 00:06:36,200 --> 00:06:42,400 Speaker 1: interference in markets, and why is there this cultural It's 106 00:06:42,560 --> 00:06:45,800 Speaker 1: it's really a fad now, it's it's considered cool, it's 107 00:06:45,880 --> 00:06:49,960 Speaker 1: hip to reject capitalism among millennials. You know that the 108 00:06:50,040 --> 00:06:52,240 Speaker 1: polls are all saying that, you know, they're sixty percent 109 00:06:52,320 --> 00:06:56,200 Speaker 1: in favor of socialism over capitalism, and you know, fifty 110 00:06:56,200 --> 00:06:58,880 Speaker 1: five percent in favor of it. It's there's a clear 111 00:07:00,080 --> 00:07:02,320 Speaker 1: trajectory here. Why is that the case? Well, because I 112 00:07:02,360 --> 00:07:07,400 Speaker 1: think that they don't know, they have not seen, they 113 00:07:07,440 --> 00:07:11,920 Speaker 1: have not connected themselves to the history of what it 114 00:07:12,520 --> 00:07:15,600 Speaker 1: meant for places like the Soviet Union, what it is 115 00:07:15,640 --> 00:07:20,680 Speaker 1: meant for. They just dismiss Venezuela. They dismissed these other 116 00:07:20,680 --> 00:07:24,120 Speaker 1: countries where the economy has just been going down the 117 00:07:24,160 --> 00:07:28,520 Speaker 1: tubes for a long time. And they also have lived 118 00:07:28,560 --> 00:07:32,440 Speaker 1: in what is a generally very prosperous America. There was 119 00:07:32,440 --> 00:07:34,920 Speaker 1: there was the two thousand and eight procession, but especially 120 00:07:35,000 --> 00:07:39,200 Speaker 1: for people who are young, I guess gen z is 121 00:07:39,240 --> 00:07:41,800 Speaker 1: what I think they call it now. They weren't looking 122 00:07:41,800 --> 00:07:44,760 Speaker 1: for jobs then they have gotten out and things have 123 00:07:44,840 --> 00:07:49,440 Speaker 1: been on a pretty solid trajectory for for a while. 124 00:07:49,720 --> 00:07:51,920 Speaker 1: And you might say, oh, Buck, you mean like with Obama, Well, yeah, 125 00:07:52,120 --> 00:07:55,920 Speaker 1: things were okay after a couple of years of the 126 00:07:55,920 --> 00:07:58,040 Speaker 1: Obama A ministration. Didn't seem like it was gonna be great, 127 00:07:58,080 --> 00:08:02,520 Speaker 1: but it wasn't Socialist in Venezuela bad. Some of the 128 00:08:02,560 --> 00:08:06,160 Speaker 1: same ideas were proliferating under the Obama administration, but it wasn't. 129 00:08:07,040 --> 00:08:09,040 Speaker 1: You know, it'll and this I'll return this later with 130 00:08:09,280 --> 00:08:11,240 Speaker 1: we're gonna talk about what Deblasio is doing here in 131 00:08:11,240 --> 00:08:13,160 Speaker 1: New York City, a place I know very well. If 132 00:08:13,160 --> 00:08:18,760 Speaker 1: I had as much familiarity with Los Angeles or San Francisco, 133 00:08:18,800 --> 00:08:21,440 Speaker 1: those are places that are point that where we point 134 00:08:22,160 --> 00:08:26,080 Speaker 1: to show that these are they're bad ideas. And I 135 00:08:26,080 --> 00:08:29,360 Speaker 1: think they've gotten a little bit too, you know, soft 136 00:08:29,400 --> 00:08:33,000 Speaker 1: and happy in those places. A lot of wealth, a 137 00:08:33,040 --> 00:08:37,960 Speaker 1: lot of accumulation of wealth. Over time, overall national crime drop, 138 00:08:38,600 --> 00:08:43,679 Speaker 1: and so they started to embrace increasingly radical left policies. 139 00:08:43,720 --> 00:08:45,360 Speaker 1: And now you've got you know, the poop and the 140 00:08:45,400 --> 00:08:47,959 Speaker 1: dirty needles all over the streets in San Francisco and 141 00:08:48,240 --> 00:08:50,120 Speaker 1: in LA and you're seeing more of that stuff happen 142 00:08:50,160 --> 00:08:53,360 Speaker 1: in New York, and maybe it's because the people in 143 00:08:53,400 --> 00:08:56,000 Speaker 1: these cities have lost a connection to what it means 144 00:08:56,000 --> 00:09:02,120 Speaker 1: when things go badly. I worry, worry that there aren't 145 00:09:02,200 --> 00:09:05,320 Speaker 1: enough people right now who understand how quickly what we 146 00:09:05,360 --> 00:09:11,160 Speaker 1: are experiencing right now with a government that is absolutely imperfect, 147 00:09:11,160 --> 00:09:12,840 Speaker 1: no question about it. I mean, this is a White 148 00:09:12,880 --> 00:09:14,880 Speaker 1: House that still needs to deliver on a lot of things, 149 00:09:15,920 --> 00:09:23,000 Speaker 1: but on the foundational capitalism is good level, they get it, 150 00:09:24,000 --> 00:09:29,000 Speaker 1: they understand, and they're trying to work within that framework 151 00:09:29,679 --> 00:09:32,360 Speaker 1: of Capitalism is good has lifted more people out of 152 00:09:32,400 --> 00:09:34,440 Speaker 1: poverty in the laste hundred years than had been lifted 153 00:09:34,440 --> 00:09:37,200 Speaker 1: out of poverty and all of human history beforehand. We 154 00:09:37,200 --> 00:09:40,839 Speaker 1: should celebrate what capitalism has been able to do for 155 00:09:40,920 --> 00:09:44,440 Speaker 1: this country, and we should try to promote what works 156 00:09:45,600 --> 00:09:48,000 Speaker 1: so we get used to what we see now and all, Okay, 157 00:09:48,040 --> 00:09:50,000 Speaker 1: Well things are good, and I guess it'll always be good. No. 158 00:09:50,200 --> 00:09:52,640 Speaker 1: I mean, if you get a President Sanders, for example, 159 00:09:52,720 --> 00:09:54,480 Speaker 1: things are going to turn very quickly. If you get 160 00:09:54,480 --> 00:09:56,959 Speaker 1: a President Biden, it won't be good, but I don't 161 00:09:57,000 --> 00:10:00,160 Speaker 1: think it'll be quite as much of an immediate a 162 00:10:00,280 --> 00:10:05,240 Speaker 1: catastrophe as a as a president Sanders would be. But 163 00:10:05,440 --> 00:10:09,959 Speaker 1: when people forget what the bad times are like, sometimes 164 00:10:10,080 --> 00:10:12,760 Speaker 1: they the only way is as a big dose a 165 00:10:12,840 --> 00:10:16,439 Speaker 1: reality for to bring them back in line. And so 166 00:10:16,480 --> 00:10:20,440 Speaker 1: in that sense, the Trump administration's numbers the you know, 167 00:10:20,440 --> 00:10:23,480 Speaker 1: if you had told me that this is where Trump 168 00:10:23,520 --> 00:10:25,800 Speaker 1: would be going into the third year of his presidency, 169 00:10:26,559 --> 00:10:28,400 Speaker 1: are now going into the soon be going into the 170 00:10:28,440 --> 00:10:30,680 Speaker 1: fourth year. But in the third year of his presidency, 171 00:10:30,679 --> 00:10:33,480 Speaker 1: I would tell you, well, wow, there must be If 172 00:10:33,480 --> 00:10:35,480 Speaker 1: you'd said this in twenty sixteen, I say, there must 173 00:10:35,480 --> 00:10:38,520 Speaker 1: be some converts to Trumps. Them must be people that no. 174 00:10:38,520 --> 00:10:40,360 Speaker 1: Now it's just the new normal, and they focus on 175 00:10:40,400 --> 00:10:43,679 Speaker 1: all these externalities. Oh what did Trump lie about? That 176 00:10:43,720 --> 00:10:45,679 Speaker 1: doesn't matter to anyone. We'll talk about one of those 177 00:10:45,720 --> 00:10:48,800 Speaker 1: examples later. You know, what is the latest thing that 178 00:10:48,840 --> 00:10:51,960 Speaker 1: they can drill down on, get very deep in the 179 00:10:52,000 --> 00:10:55,080 Speaker 1: weeds on, and pretend is a much bigger issue than 180 00:10:55,120 --> 00:10:58,000 Speaker 1: it is. Oh did the president pull a White House 181 00:10:58,040 --> 00:11:01,600 Speaker 1: reporters press in a hard pass and makes that person 182 00:11:02,040 --> 00:11:05,000 Speaker 1: show their ID and get a pass like everybody else 183 00:11:05,000 --> 00:11:06,520 Speaker 1: who goes to the White House, Like when I went 184 00:11:06,559 --> 00:11:09,080 Speaker 1: to the White House. That's what we had to do. Huh? 185 00:11:09,160 --> 00:11:14,160 Speaker 1: Is that what happens sometimes? My friends? You just get 186 00:11:14,640 --> 00:11:17,560 Speaker 1: a little too used to things being good. And I 187 00:11:17,600 --> 00:11:20,240 Speaker 1: do think that the country is going through something like 188 00:11:20,320 --> 00:11:23,400 Speaker 1: that right now, because when I see polls that have 189 00:11:23,520 --> 00:11:27,280 Speaker 1: Joe Biden and other Democrats ahead of Donald Trump, I 190 00:11:27,360 --> 00:11:29,600 Speaker 1: just look. I just look at the sky and think, 191 00:11:29,600 --> 00:11:33,920 Speaker 1: how could people be so foolish? Do they forget what 192 00:11:33,960 --> 00:11:38,160 Speaker 1: it was like to have a left wing administration that 193 00:11:38,240 --> 00:11:41,720 Speaker 1: was as hostile as it could get away with being. 194 00:11:41,760 --> 00:11:43,920 Speaker 1: That's not the same thing as saying that they're straight 195 00:11:43,960 --> 00:11:50,000 Speaker 1: up commies, but that was hostile to private enterprise, to commercial, 196 00:11:50,040 --> 00:11:55,280 Speaker 1: economic and really individual freedom in so many ways. And 197 00:11:55,280 --> 00:11:57,280 Speaker 1: it's the only way that we can understand what that 198 00:11:57,280 --> 00:11:59,400 Speaker 1: would really mean. To go through it again, I hope not, 199 00:11:59,559 --> 00:12:03,240 Speaker 1: But those who don't know their history, or don't remember history, 200 00:12:03,320 --> 00:12:05,880 Speaker 1: whatever the specifics of the phrase, are doomed to repeat it. 201 00:12:06,920 --> 00:12:08,439 Speaker 1: I hope we don't have to repeat a far left 202 00:12:08,440 --> 00:12:12,200 Speaker 1: administration for eight years. But given what I'm seeing, and 203 00:12:12,640 --> 00:12:16,559 Speaker 1: you have this disconnect of very strong numbers, the country 204 00:12:16,600 --> 00:12:18,960 Speaker 1: doing well. We're not in the midst of some huge war. 205 00:12:19,040 --> 00:12:23,200 Speaker 1: I was just telling some friends today over lunch when 206 00:12:23,240 --> 00:12:25,280 Speaker 1: was the last time we had a mass casualty. I mean, 207 00:12:25,520 --> 00:12:28,400 Speaker 1: you know, Heaven forbid, but the mass casualty gee hottest 208 00:12:28,440 --> 00:12:33,560 Speaker 1: attack in America or in Europe for example. You can't 209 00:12:33,559 --> 00:12:34,719 Speaker 1: think of it off the top of your head. It's 210 00:12:34,720 --> 00:12:37,119 Speaker 1: been a long time. That used to be a monthly occurrence. 211 00:12:38,000 --> 00:12:40,080 Speaker 1: We are not in the midst of I understand there's 212 00:12:40,120 --> 00:12:42,160 Speaker 1: there's the mass shooting problem, but we're not in the 213 00:12:42,160 --> 00:12:46,480 Speaker 1: midst of a global terrorist operation directed against us as 214 00:12:46,480 --> 00:12:50,840 Speaker 1: we were for many years. We aren't. We aren't seeing 215 00:12:50,840 --> 00:12:53,160 Speaker 1: a recession, we aren't seeing people lose their jobs. There's 216 00:12:53,240 --> 00:12:57,559 Speaker 1: so much to be thankful for, and I think that, unfortunately, 217 00:12:58,240 --> 00:13:02,120 Speaker 1: there is a creeping in gratitude in we you see 218 00:13:02,160 --> 00:13:04,800 Speaker 1: with with many Americans. I don't think with people listen 219 00:13:04,840 --> 00:13:06,240 Speaker 1: to this show. I don't think of people that are 220 00:13:06,240 --> 00:13:09,760 Speaker 1: supporters of the president by and large, But a lot 221 00:13:09,800 --> 00:13:11,440 Speaker 1: of folks are just like, yeah, well, I guess things 222 00:13:11,440 --> 00:13:13,120 Speaker 1: are good, but you know, maybe we should just vote 223 00:13:13,120 --> 00:13:16,640 Speaker 1: for somebody who doesn't do the tweets. No, I think 224 00:13:16,679 --> 00:13:19,200 Speaker 1: maybe vote for somebody who does the tweets and like 225 00:13:19,360 --> 00:13:22,160 Speaker 1: them or don't like them. That's fine, but make sure 226 00:13:22,200 --> 00:13:24,679 Speaker 1: that the person who's in charge, who has the most 227 00:13:24,720 --> 00:13:28,520 Speaker 1: power of any individual in the United States government continues 228 00:13:28,559 --> 00:13:31,200 Speaker 1: to do the things that are benefiting tens of millions 229 00:13:31,200 --> 00:13:33,960 Speaker 1: of Americans every day, hundreds of millions of Americans, whether 230 00:13:34,080 --> 00:13:38,680 Speaker 1: whether they like it or not. Prosperity is not forever, 231 00:13:38,720 --> 00:13:42,320 Speaker 1: it's not endless, and it can it can evaporate very quickly. 232 00:13:43,360 --> 00:13:47,040 Speaker 1: And the fact that the polls don't show this president 233 00:13:47,440 --> 00:13:50,120 Speaker 1: well over fifty percent in support, I just find troubling. 234 00:13:50,559 --> 00:13:52,720 Speaker 1: I blame the people that are being polled. I don't 235 00:13:52,920 --> 00:13:55,120 Speaker 1: I can't really blame the administration. What else is he 236 00:13:55,160 --> 00:13:58,480 Speaker 1: supposed to do? What would be or we're gonna have 237 00:13:58,520 --> 00:14:02,360 Speaker 1: GDP growth, you know, eight twelve percent or twelve percent, 238 00:14:02,480 --> 00:14:04,720 Speaker 1: We're going to do what China does and lie about it, 239 00:14:05,120 --> 00:14:07,880 Speaker 1: lie about at our own people to justify the regime 240 00:14:07,920 --> 00:14:12,240 Speaker 1: that's in place. I don't think so. This is also 241 00:14:12,280 --> 00:14:16,200 Speaker 1: why we need to prepare ourselves for not really a 242 00:14:16,240 --> 00:14:20,760 Speaker 1: discussion of the economic merits of why there should be 243 00:14:20,800 --> 00:14:25,480 Speaker 1: a change in leadership in this country, but it's going 244 00:14:25,520 --> 00:14:31,080 Speaker 1: to be personality and culture based. Trump is such a 245 00:14:31,080 --> 00:14:33,960 Speaker 1: bad guy. He's so terrible, he's such a racist. The 246 00:14:34,000 --> 00:14:35,680 Speaker 1: country is better than this, you'll hear all of this 247 00:14:35,720 --> 00:14:38,560 Speaker 1: stuff when I don't need people telling me the country 248 00:14:38,640 --> 00:14:40,680 Speaker 1: is better than this. I just want the country to 249 00:14:40,680 --> 00:14:43,720 Speaker 1: continue to do well. That's my focus. That's what I 250 00:14:43,760 --> 00:14:47,320 Speaker 1: would like to see. And I don't know if what 251 00:14:47,360 --> 00:14:50,480 Speaker 1: it's going to take for some of those independent and 252 00:14:51,320 --> 00:14:56,360 Speaker 1: winnable voters to understand that after that climate change debacle 253 00:14:56,520 --> 00:15:01,000 Speaker 1: from yesterday, how could you think that putting a Democrat 254 00:15:01,040 --> 00:15:04,480 Speaker 1: in charge of more of the economy is a good 255 00:15:04,520 --> 00:15:06,880 Speaker 1: idea or anything in the economy, but but even more 256 00:15:06,880 --> 00:15:08,840 Speaker 1: than what you have right now with the Republican because 257 00:15:08,880 --> 00:15:12,720 Speaker 1: they would want to seize control via this Green New Deal. Nonsense. 258 00:15:12,760 --> 00:15:16,320 Speaker 1: How could anyone think that's a good idea? And yet 259 00:15:16,360 --> 00:15:19,720 Speaker 1: there are so many of them. It's troubling. You know, 260 00:15:19,800 --> 00:15:23,120 Speaker 1: we live in we live in overall very happy times 261 00:15:23,120 --> 00:15:25,120 Speaker 1: in this country right now, and I start to feel 262 00:15:25,160 --> 00:15:27,920 Speaker 1: this this ominous sense that the only it's either going 263 00:15:28,000 --> 00:15:31,160 Speaker 1: to be shattered in one fell swoop or we're just 264 00:15:31,200 --> 00:15:35,320 Speaker 1: going to hand it away because not enough people understand 265 00:15:35,360 --> 00:15:38,960 Speaker 1: that this is precious and it's fragile and it needs 266 00:15:38,960 --> 00:15:43,440 Speaker 1: to be defended. That's that's what I know. It's not 267 00:15:43,480 --> 00:15:47,600 Speaker 1: exactly cheery Friday talk. But I worry about this man. 268 00:15:47,640 --> 00:15:51,520 Speaker 1: I think that we've just become We've become a little 269 00:15:51,680 --> 00:15:55,200 Speaker 1: spoiled in the last three years to have a government 270 00:15:55,400 --> 00:15:58,720 Speaker 1: that is trying not to even out the playing field 271 00:15:58,720 --> 00:16:00,960 Speaker 1: all the time and play the social justice game and 272 00:16:01,000 --> 00:16:03,640 Speaker 1: all this other stuff and redistribute the wealth and sees 273 00:16:03,720 --> 00:16:07,080 Speaker 1: more control. Government that, while imperfect, is trying to say, look, 274 00:16:07,160 --> 00:16:09,600 Speaker 1: let the American people, let the business of the American 275 00:16:09,640 --> 00:16:11,680 Speaker 1: people be business. Let them do what they need to do, 276 00:16:12,240 --> 00:16:16,240 Speaker 1: stand out of the way as much as possible, fight 277 00:16:16,280 --> 00:16:18,320 Speaker 1: where is necessary. You know. The trade deal, I think 278 00:16:18,400 --> 00:16:22,400 Speaker 1: is an important area for us to understand there's a 279 00:16:22,400 --> 00:16:25,120 Speaker 1: trade off being made there because the Chinese have been 280 00:16:25,240 --> 00:16:27,240 Speaker 1: ripping us off and doing bad stuff for a long time. 281 00:16:28,640 --> 00:16:32,240 Speaker 1: But yeah, the alternative is what Joe Biden may your pete. 282 00:16:34,880 --> 00:16:38,320 Speaker 1: I was gonna say, Kirsten Jilli Brambon, too bad, she's gone, 283 00:16:38,440 --> 00:16:40,920 Speaker 1: she's out. We'll be right back. It's a solid number. 284 00:16:40,920 --> 00:16:44,120 Speaker 1: It's not a spectacular number, by the way. Seasonally, the 285 00:16:44,200 --> 00:16:47,800 Speaker 1: August print usually comes in low and then is revised higher. 286 00:16:47,840 --> 00:16:52,920 Speaker 1: But here is the story. Five hundred and ninety thousand 287 00:16:53,240 --> 00:16:58,920 Speaker 1: new jobs and the household survey that is virtually unprecedented. 288 00:16:59,200 --> 00:17:03,280 Speaker 1: Average geral earnings twelve month changes three point two percent, 289 00:17:03,560 --> 00:17:07,119 Speaker 1: and an explosion in new labor for its entrance. The 290 00:17:07,359 --> 00:17:10,120 Speaker 1: wage rate for the last three months at an annual 291 00:17:10,200 --> 00:17:13,439 Speaker 1: rate is four point two percent. So I'm just going 292 00:17:13,520 --> 00:17:17,960 Speaker 1: to say this, America is working, America is getting paid well, 293 00:17:18,560 --> 00:17:24,600 Speaker 1: America is spending and saving and producing. So I think 294 00:17:24,600 --> 00:17:27,960 Speaker 1: this is a dynamite report. But God, look under the hood, 295 00:17:28,400 --> 00:17:32,639 Speaker 1: any analysts don't. That's when I'm talking about folks. Larry 296 00:17:32,680 --> 00:17:36,200 Speaker 1: Cudlow saying it. Things are really good, and people aren't 297 00:17:36,240 --> 00:17:40,120 Speaker 1: even paying attention. Instead, we have a media focus on 298 00:17:40,520 --> 00:17:45,360 Speaker 1: sharpie gates where you had the president using a sharpie 299 00:17:45,359 --> 00:17:48,480 Speaker 1: marker to try and show that the path of the 300 00:17:48,560 --> 00:17:53,400 Speaker 1: hurricane might have included Alabama in it. That we're still 301 00:17:53,440 --> 00:17:58,040 Speaker 1: even talking about this seems to me to just be ridiculous. 302 00:17:58,720 --> 00:18:01,520 Speaker 1: The President doesn't admit mistakes. We know that. He says 303 00:18:01,520 --> 00:18:03,439 Speaker 1: he didn't make a mistake. They say he did. Okay, 304 00:18:03,480 --> 00:18:08,080 Speaker 1: it wasn't malicious. So and it's weather. It's uncertain who 305 00:18:08,119 --> 00:18:10,560 Speaker 1: really know, But they just they're digging in on this 306 00:18:10,600 --> 00:18:14,240 Speaker 1: because every day that there or every hour that is 307 00:18:14,280 --> 00:18:17,200 Speaker 1: spent covering this nonsense. Is an hour that people aren't 308 00:18:17,920 --> 00:18:20,560 Speaker 1: turning on the TV, flipping open their computer or looking 309 00:18:20,560 --> 00:18:22,960 Speaker 1: at their phone and finding out that, oh, you mean 310 00:18:23,000 --> 00:18:25,680 Speaker 1: that Trump was a far better steward of the economy 311 00:18:25,720 --> 00:18:27,320 Speaker 1: than they said he would be, and that things are 312 00:18:27,320 --> 00:18:29,639 Speaker 1: actually going quite well and people have more money in 313 00:18:29,680 --> 00:18:32,560 Speaker 1: their paycheck, more money in the bank. Oh yeah, all 314 00:18:32,560 --> 00:18:34,760 Speaker 1: those things that really matter. We'll talk about more that 315 00:18:34,840 --> 00:18:36,680 Speaker 1: matters what we do every day here on the show, 316 00:18:37,280 --> 00:18:40,200 Speaker 1: and we're gonna get into that in the moment. Stay 317 00:18:40,560 --> 00:18:41,960 Speaker 1: We are going to take the storm out in the 318 00:18:41,960 --> 00:18:45,360 Speaker 1: open Atlantic, and eventually it will head towards Nova Scotia, 319 00:18:45,680 --> 00:18:48,560 Speaker 1: likely as a Category one hurricane, and just enough of 320 00:18:48,600 --> 00:18:51,480 Speaker 1: this storm is going to clip southern portions of New England. 321 00:18:51,640 --> 00:18:54,000 Speaker 1: Cape cod is under a tropical storm warning. You will 322 00:18:54,040 --> 00:18:56,479 Speaker 1: get some rain and gusty wins, but I don't exact. 323 00:18:56,720 --> 00:18:58,480 Speaker 1: We're not gonna have a lot of damage from that Nika. 324 00:18:58,720 --> 00:19:01,400 Speaker 1: It would just be kind of a minor inconvenience. So 325 00:19:02,240 --> 00:19:05,400 Speaker 1: the storm for the US Dorian has been what we'd say, 326 00:19:05,400 --> 00:19:08,200 Speaker 1: probably underachieving, and now we can try to focus all 327 00:19:08,200 --> 00:19:11,120 Speaker 1: our attentions on the recovery efforts down there in the Bahamas. 328 00:19:12,520 --> 00:19:17,200 Speaker 1: Very saddening to see what's happened in the Bahamas Um. 329 00:19:17,400 --> 00:19:23,480 Speaker 1: There's some really gut wrenching video footage and photos you 330 00:19:23,520 --> 00:19:25,359 Speaker 1: can see on all the major on all the major 331 00:19:25,440 --> 00:19:31,440 Speaker 1: news sites, you have bodies of human beings that are 332 00:19:31,440 --> 00:19:37,919 Speaker 1: still on the streets. They're expecting that the the death 333 00:19:37,960 --> 00:19:43,240 Speaker 1: toll will be staggeringly high. At what that exactly roughly 334 00:19:43,280 --> 00:19:46,280 Speaker 1: mean or what that roughly means who I can't tell you, 335 00:19:46,320 --> 00:19:49,720 Speaker 1: But there's there's definitely a sense that there's a lot 336 00:19:49,760 --> 00:19:51,800 Speaker 1: of there was a lot of death on the island 337 00:19:51,800 --> 00:19:57,240 Speaker 1: as a result of this storm, and here we are 338 00:19:57,359 --> 00:20:02,399 Speaker 1: now in the aftermath of another a natural disaster. And 339 00:20:02,880 --> 00:20:07,199 Speaker 1: you would think that in a healthy there's always going 340 00:20:07,240 --> 00:20:09,159 Speaker 1: to be disagreement, right, There's always going to be descent, 341 00:20:09,320 --> 00:20:11,720 Speaker 1: and that's people would point out that's healthy. We need 342 00:20:11,760 --> 00:20:16,680 Speaker 1: the exchange of ideas, but in a healthier political climate, 343 00:20:18,200 --> 00:20:21,800 Speaker 1: this situation in the Bahamas and also different parts of 344 00:20:21,840 --> 00:20:24,000 Speaker 1: the US that have been hit hard, although we haven't 345 00:20:24,000 --> 00:20:27,240 Speaker 1: seen anything along the lines of the devastation we've seen 346 00:20:27,240 --> 00:20:29,800 Speaker 1: in the Bahamas, there would be a sense that we 347 00:20:29,840 --> 00:20:33,199 Speaker 1: need to come together and tackle this together, that we 348 00:20:33,200 --> 00:20:37,720 Speaker 1: should work with each other to handle this problem instead 349 00:20:37,880 --> 00:20:41,120 Speaker 1: of trying to point fingers at each other and decide 350 00:20:41,240 --> 00:20:45,880 Speaker 1: that this is the result of well, there's a few 351 00:20:45,880 --> 00:20:48,000 Speaker 1: ways that fingers will be pointed at. First, no matter 352 00:20:48,080 --> 00:20:53,840 Speaker 1: what President Trump does, no matter what he does, I 353 00:20:53,880 --> 00:20:57,439 Speaker 1: can guarantee you the Democrat narrative here is going to 354 00:20:57,440 --> 00:21:01,440 Speaker 1: be that Trump didn't do enough because he doesn't care 355 00:21:01,480 --> 00:21:04,960 Speaker 1: about the Bahamas, because he doesn't care about a place 356 00:21:05,000 --> 00:21:09,760 Speaker 1: that is majority non white. That's going to be the narrative, guaranteed. 357 00:21:10,640 --> 00:21:13,840 Speaker 1: That's what they're gonna say. There's a lot of Americans Bahamas, 358 00:21:13,840 --> 00:21:17,280 Speaker 1: a lot of people the Mohammas. I mean, it's unfair 359 00:21:17,359 --> 00:21:20,800 Speaker 1: to Trump, it's unfair to our political discourse to put 360 00:21:20,800 --> 00:21:23,760 Speaker 1: a smear like that out there. But that's what we're 361 00:21:23,800 --> 00:21:25,600 Speaker 1: gonna be told. That's going to be the real story 362 00:21:26,640 --> 00:21:29,479 Speaker 1: from the left. And it doesn't matter what he does. 363 00:21:29,520 --> 00:21:30,960 Speaker 1: I mean, the President can say where to give the 364 00:21:30,960 --> 00:21:33,960 Speaker 1: Bahamas one hundred billion dollars and they would say, well, 365 00:21:34,040 --> 00:21:36,159 Speaker 1: now he's just trying to cover up how racist he is. 366 00:21:37,240 --> 00:21:41,360 Speaker 1: Now he's just trying to throw us off the trail 367 00:21:41,520 --> 00:21:44,720 Speaker 1: of his white nationalism or something. He can't win. He 368 00:21:44,840 --> 00:21:49,000 Speaker 1: can't win. We know this. So that's the one level 369 00:21:49,040 --> 00:21:53,240 Speaker 1: will be the the hurricane relief efforts. Just give it time. 370 00:21:53,359 --> 00:21:58,080 Speaker 1: Liberals are going to be saying it's insufficient, he's not 371 00:21:58,080 --> 00:22:00,679 Speaker 1: doing enough. All that, okay, And then you have the 372 00:22:00,680 --> 00:22:02,879 Speaker 1: other part of this duo, which is what got us 373 00:22:02,880 --> 00:22:05,639 Speaker 1: to this point in the last last forty eight hours, 374 00:22:06,160 --> 00:22:10,359 Speaker 1: and I was doing the seven seven hour climate change thing. Unfortunately, 375 00:22:10,400 --> 00:22:14,720 Speaker 1: you have to keep in mind the liberals who believe 376 00:22:15,880 --> 00:22:23,360 Speaker 1: in the climate change catastrophe myth see this devastation, and 377 00:22:23,520 --> 00:22:27,960 Speaker 1: all it does is harden their resolve that we must 378 00:22:27,960 --> 00:22:33,120 Speaker 1: take these dramatic steps, We must do these things in 379 00:22:33,240 --> 00:22:37,840 Speaker 1: order to save the planet, and anyone who doesn't go 380 00:22:37,920 --> 00:22:42,080 Speaker 1: along with them is a bad person who does not 381 00:22:42,200 --> 00:22:45,720 Speaker 1: want to prevent the next major storm like this from happening. 382 00:22:46,880 --> 00:22:50,119 Speaker 1: And you can see, can't you see this connection with Oh, 383 00:22:50,160 --> 00:22:53,760 Speaker 1: this is what libs do after a natural disaster like this. 384 00:22:53,840 --> 00:22:58,400 Speaker 1: They find a way to use it as a political 385 00:22:58,680 --> 00:23:02,640 Speaker 1: mobilization technique. Can they argue around around it in that way? 386 00:23:03,600 --> 00:23:07,040 Speaker 1: That's one thing that they do. They also do this 387 00:23:07,119 --> 00:23:09,600 Speaker 1: after a mass shooting. They'll say, oh, well, you either 388 00:23:10,359 --> 00:23:12,399 Speaker 1: do the things that we tell you have to be 389 00:23:12,480 --> 00:23:15,600 Speaker 1: done now after this tragedy, or you don't care about 390 00:23:15,600 --> 00:23:18,919 Speaker 1: the tragedy and therefore you're a bad person. This is 391 00:23:19,240 --> 00:23:23,080 Speaker 1: a common tactic and it is it's corrosive that the 392 00:23:23,200 --> 00:23:27,800 Speaker 1: left embraces this so openly, so repeatedly. It is corrosive 393 00:23:29,080 --> 00:23:33,560 Speaker 1: for all political discussions because one they get locked into 394 00:23:33,600 --> 00:23:37,000 Speaker 1: this lazy mentality on the left of oh, we're just 395 00:23:37,040 --> 00:23:39,000 Speaker 1: the good people, they're the bad people. There's really nothing 396 00:23:39,000 --> 00:23:42,200 Speaker 1: here to discuss. It shuts down on our side because 397 00:23:42,200 --> 00:23:45,000 Speaker 1: we realize, why engage when you're just gonna be told 398 00:23:45,520 --> 00:23:48,560 Speaker 1: you don't care about the devastation, you don't care about 399 00:23:48,560 --> 00:23:50,639 Speaker 1: the dead children after a mass shooting, which is just 400 00:23:50,800 --> 00:23:54,400 Speaker 1: not true. It's just a smear, and it's a stupid 401 00:23:54,440 --> 00:24:02,280 Speaker 1: one at that. But the exploitation of the grief that 402 00:24:02,320 --> 00:24:04,119 Speaker 1: we are seeing, the loss that we're seeing down the 403 00:24:04,160 --> 00:24:08,639 Speaker 1: Bahamas with this week of CNN and other places, but 404 00:24:08,760 --> 00:24:12,879 Speaker 1: CNN led the group here with their seven hour down hall. 405 00:24:13,440 --> 00:24:18,640 Speaker 1: It's just stunning. It's stunning how willing they are, how 406 00:24:18,680 --> 00:24:22,640 Speaker 1: willing the Democrats are to use this to leverage this 407 00:24:22,800 --> 00:24:26,679 Speaker 1: loss and this pain for a political narrative that as 408 00:24:26,680 --> 00:24:28,800 Speaker 1: I keep pointing out to you, doesn't even have an upside. 409 00:24:30,160 --> 00:24:32,560 Speaker 1: There's some areas where the left can be wrong and 410 00:24:32,600 --> 00:24:34,400 Speaker 1: we say, okay, that's a bad idea, but at least 411 00:24:34,400 --> 00:24:37,760 Speaker 1: there's some good that will come of it. Nothing good 412 00:24:38,320 --> 00:24:43,320 Speaker 1: comes from the Green New Deal, nothing, nothing good comes 413 00:24:43,359 --> 00:24:46,080 Speaker 1: from tackling the problem of climate change is not an upside. 414 00:24:46,119 --> 00:24:48,200 Speaker 1: I mean, you could try to tell me that moving 415 00:24:48,240 --> 00:24:50,879 Speaker 1: around money to green energy deals or jobs or something is, 416 00:24:50,880 --> 00:24:56,000 Speaker 1: But that's just the government appropriating private property and giving 417 00:24:56,000 --> 00:24:58,280 Speaker 1: it to favored constituents. Man, I don't think that's a 418 00:24:58,280 --> 00:25:04,760 Speaker 1: good thing. That's not really productive. That's the government inflicting 419 00:25:04,800 --> 00:25:08,119 Speaker 1: itself on us, and I think harming productivity and harming 420 00:25:08,119 --> 00:25:12,400 Speaker 1: our wealth. But you know, the exploitation of tragedy is 421 00:25:12,760 --> 00:25:19,880 Speaker 1: a just like identity politics are a Democrat pastime and dominant. 422 00:25:19,880 --> 00:25:21,960 Speaker 1: I'm not saying that we don't have some versions of 423 00:25:22,480 --> 00:25:25,680 Speaker 1: identity politics and political tribalism on the right. We don't 424 00:25:25,680 --> 00:25:28,239 Speaker 1: really do the we don't do racial identity politics. But 425 00:25:29,440 --> 00:25:33,520 Speaker 1: there's I'm sure people can make arguments that we think 426 00:25:33,600 --> 00:25:35,800 Speaker 1: very much in terms of just our team versus any 427 00:25:35,800 --> 00:25:38,080 Speaker 1: other team, right, the right versus versus the left, and 428 00:25:38,119 --> 00:25:42,200 Speaker 1: that's all that matters. But the willingness to exploit tragedy 429 00:25:42,240 --> 00:25:47,800 Speaker 1: on the left is particularly troubling, and it is a distinction. 430 00:25:47,840 --> 00:25:52,600 Speaker 1: It's a way that they separate themselves from us. We 431 00:25:52,680 --> 00:25:55,720 Speaker 1: just don't do this. We don't see something bad happened 432 00:25:55,720 --> 00:26:00,879 Speaker 1: somewhere and say, ah, what is my favorite political cause 433 00:26:01,000 --> 00:26:03,200 Speaker 1: to tie this to? You know, we say, when something 434 00:26:03,240 --> 00:26:06,879 Speaker 1: that happens that's really terrible, is there anything we can 435 00:26:06,880 --> 00:26:11,120 Speaker 1: do to help? And wow, we feel badly, thoughts and prayers. 436 00:26:11,200 --> 00:26:13,639 Speaker 1: That's a normal reaction to this is who you'd be 437 00:26:13,640 --> 00:26:18,400 Speaker 1: apologizing to. Someone who violated FBI in DJ policy, violated 438 00:26:18,440 --> 00:26:22,000 Speaker 1: the terms of his employment agreement, div always the existence 439 00:26:22,040 --> 00:26:25,160 Speaker 1: of an investigation, which is a big no no, transmitted 440 00:26:25,200 --> 00:26:28,080 Speaker 1: classified information, and then when the FBI came to his 441 00:26:28,240 --> 00:26:31,719 Speaker 1: house after he was fired, had amnesia. That's the person. 442 00:26:32,000 --> 00:26:34,199 Speaker 1: Oh no, by the way, this is not the first 443 00:26:34,240 --> 00:26:37,159 Speaker 1: time Jim Komey was dinged by the Inspector General. Remember 444 00:26:37,200 --> 00:26:40,919 Speaker 1: he was dinged in the Clinton investigation. Because Komy plays 445 00:26:41,000 --> 00:26:43,640 Speaker 1: by his own subtle rules, so he's zero for two, 446 00:26:44,000 --> 00:26:47,080 Speaker 1: and the two major investigations he had in twenty sixteen 447 00:26:47,680 --> 00:26:51,879 Speaker 1: violated almost everything you can think of accept a criminal statute, 448 00:26:52,200 --> 00:26:54,840 Speaker 1: and that's the guy that wants you to apologize to him. 449 00:26:56,240 --> 00:27:00,360 Speaker 1: Kobe is amazing in that sense that he still believes 450 00:27:00,400 --> 00:27:03,600 Speaker 1: that he is just fantastic. He still believes he's the 451 00:27:03,640 --> 00:27:09,080 Speaker 1: most incredible guy, and he did everything the way that 452 00:27:09,200 --> 00:27:11,320 Speaker 1: somebody in his position should have done it. He's he 453 00:27:11,359 --> 00:27:15,520 Speaker 1: has apologized for absolutely nothing. And I will just say 454 00:27:15,560 --> 00:27:19,440 Speaker 1: that I've been telling you all along, guys, even when 455 00:27:19,440 --> 00:27:22,280 Speaker 1: the information comes out, even when we have the inspector 456 00:27:22,320 --> 00:27:26,680 Speaker 1: General report, don't expect, don't expect anybody who was anti 457 00:27:26,720 --> 00:27:29,440 Speaker 1: Trump to be putting cuffs. It's just not going to happen. 458 00:27:30,560 --> 00:27:34,639 Speaker 1: Just like you know, there's there's always this institutional bias 459 00:27:34,720 --> 00:27:39,280 Speaker 1: toward the institutionalists, the people that first and foremost put 460 00:27:39,320 --> 00:27:43,679 Speaker 1: the the agency or the bureau of the bureaucracy ahead 461 00:27:43,720 --> 00:27:47,960 Speaker 1: of any other considerations. And Comy is certainly one of them. 462 00:27:47,960 --> 00:27:51,919 Speaker 1: Although I think that Comy puts himself before everything. But 463 00:27:52,000 --> 00:27:56,440 Speaker 1: he's now he's gonna be a wealthy guy. He's already wealthy, 464 00:27:56,480 --> 00:27:58,600 Speaker 1: but he's gonna keep making a lot of money. The 465 00:27:58,840 --> 00:28:01,880 Speaker 1: Resistance will treat him very well because what we found out, 466 00:28:01,920 --> 00:28:08,240 Speaker 1: and it's pretty astonishing that this is where we've come 467 00:28:08,320 --> 00:28:11,280 Speaker 1: to as a country. What we have found out is 468 00:28:11,320 --> 00:28:15,400 Speaker 1: that James Comey I think because there were two possibilities. 469 00:28:16,520 --> 00:28:21,960 Speaker 1: One of the possibilities was that he really believed that 470 00:28:22,000 --> 00:28:25,480 Speaker 1: Trump was a Russian asset and that he was doing 471 00:28:25,520 --> 00:28:32,399 Speaker 1: the country a necessary service, a necessary favor by trying 472 00:28:32,440 --> 00:28:37,280 Speaker 1: to save us from a Trump presidency, because there was 473 00:28:38,040 --> 00:28:40,800 Speaker 1: real evidence that the Russians had had turned him and 474 00:28:40,840 --> 00:28:43,800 Speaker 1: he was working the Russians. Or there's just a possibility 475 00:28:43,840 --> 00:28:47,000 Speaker 1: that he thought that Comy thought he'd be a hero 476 00:28:48,320 --> 00:28:51,479 Speaker 1: because the establishment hates Trump so much and so they 477 00:28:51,480 --> 00:28:53,840 Speaker 1: were just going to remove him from office by a 478 00:28:53,880 --> 00:28:58,520 Speaker 1: bureaucratic coup. I think it's the latter. I really don't 479 00:28:58,520 --> 00:29:01,600 Speaker 1: think that Comy, but I don't think it's possible for 480 00:29:01,800 --> 00:29:04,440 Speaker 1: Comy to have believed this stuff. I think Brennan maybe 481 00:29:04,480 --> 00:29:08,240 Speaker 1: was a believer. I think Brennan might have been somebody 482 00:29:08,280 --> 00:29:12,080 Speaker 1: who convinced himself that Donald Trump was a Russian asset 483 00:29:12,200 --> 00:29:15,120 Speaker 1: and that all this was real and that the fears 484 00:29:15,200 --> 00:29:17,000 Speaker 1: here were well founded. I mean, I think that that's 485 00:29:17,160 --> 00:29:21,440 Speaker 1: very possible because Brennan's just a whacko. But I think 486 00:29:21,520 --> 00:29:24,880 Speaker 1: Comy more likely was somebody who came along and said, 487 00:29:25,480 --> 00:29:29,800 Speaker 1: you know what, Brennan has already started this narrative, this 488 00:29:29,920 --> 00:29:33,560 Speaker 1: theory over its CIA, so why don't we just run 489 00:29:33,600 --> 00:29:37,200 Speaker 1: with this. This gives me a perfect opportunity to at 490 00:29:37,200 --> 00:29:41,560 Speaker 1: a minimum, create leverage against the President the United States, 491 00:29:41,760 --> 00:29:46,720 Speaker 1: and more to the point of going beyond that, to 492 00:29:46,840 --> 00:29:51,160 Speaker 1: put him in a position where he was able to 493 00:29:51,160 --> 00:29:54,960 Speaker 1: perhaps remove him from office. So this was going after 494 00:29:55,000 --> 00:29:58,200 Speaker 1: the president, I think, even in I think going after 495 00:29:58,320 --> 00:30:03,240 Speaker 1: him in bad faith, not just going after him in error, 496 00:30:03,280 --> 00:30:05,600 Speaker 1: which would have been a more charitable reading of what 497 00:30:05,680 --> 00:30:09,120 Speaker 1: Coomi did here. And yet I'm here to tell you 498 00:30:09,240 --> 00:30:11,160 Speaker 1: I don't I don't think that McCabe is going to 499 00:30:11,240 --> 00:30:14,920 Speaker 1: get prosecuted, which is just uh, that's as clear a 500 00:30:14,960 --> 00:30:19,560 Speaker 1: case as you can find of senior FBI guys. They 501 00:30:19,560 --> 00:30:21,080 Speaker 1: don't have to live by the same law as they 502 00:30:21,080 --> 00:30:23,800 Speaker 1: want the rest of us to live. But senior FBI 503 00:30:23,920 --> 00:30:27,520 Speaker 1: guys don't have to suffer the consequence as the way 504 00:30:27,960 --> 00:30:31,160 Speaker 1: a normal everyday American would. And that's just where it is. 505 00:30:32,320 --> 00:30:35,000 Speaker 1: That's what I think is really I think it's really 506 00:30:35,040 --> 00:30:39,240 Speaker 1: going on here. We're going to continue to see this 507 00:30:39,760 --> 00:30:42,240 Speaker 1: play out we'll get more information. I think about the 508 00:30:42,680 --> 00:30:46,600 Speaker 1: from the Inspector General is also the DOJ investigation that 509 00:30:46,680 --> 00:30:48,760 Speaker 1: Barr has appointed someone I think, you look, Barr is 510 00:30:48,920 --> 00:30:53,520 Speaker 1: fantastic in the role. But Barr didn't recommend charges against 511 00:30:53,560 --> 00:30:56,240 Speaker 1: Comy and he's not going to recommend charges against any 512 00:30:56,240 --> 00:30:58,800 Speaker 1: of these government officials because I think that there's still 513 00:30:58,880 --> 00:31:04,560 Speaker 1: a considerable there's still a belief inside these very powerful 514 00:31:04,680 --> 00:31:09,920 Speaker 1: government agencies that they need to not allow the political 515 00:31:10,000 --> 00:31:14,360 Speaker 1: targeting of the previous administration or its people or supporters 516 00:31:14,360 --> 00:31:17,320 Speaker 1: to be a thing. And I'd be all for that, 517 00:31:17,400 --> 00:31:21,160 Speaker 1: except that's exactly what we have with the Russia collusion nonsense. 518 00:31:22,360 --> 00:31:25,280 Speaker 1: We had, we had Obama administration people, and this, this 519 00:31:25,360 --> 00:31:31,080 Speaker 1: is this keeps happening where our side, the conservatives, the right, 520 00:31:31,280 --> 00:31:34,480 Speaker 1: say well, we can't go down that road because that 521 00:31:34,520 --> 00:31:37,920 Speaker 1: would make things, you know, more difficult, that will make 522 00:31:37,960 --> 00:31:47,040 Speaker 1: things more challenging. You know. The other side does these things, 523 00:31:47,240 --> 00:31:50,440 Speaker 1: and then we say, oh, wait, hold on a second, 524 00:31:50,720 --> 00:31:53,959 Speaker 1: even though they've done it, we don't want to create this, 525 00:31:54,040 --> 00:31:57,160 Speaker 1: you know, this Pandora's box effect. We don't want to 526 00:31:57,200 --> 00:32:00,960 Speaker 1: you know, well, the box has already been opened. They 527 00:32:01,000 --> 00:32:05,680 Speaker 1: already weaponized the federal apparatus, the federal bureaucracy for political 528 00:32:05,680 --> 00:32:09,440 Speaker 1: purposes against an administration. But now we go and we 529 00:32:09,520 --> 00:32:11,760 Speaker 1: say to ourselves, oh, well, we don't want this to 530 00:32:11,760 --> 00:32:15,080 Speaker 1: get worse, so we're gonna let bygones be bygones. Here. 531 00:32:15,160 --> 00:32:17,400 Speaker 1: We're gonna pretend that it never really happened the way 532 00:32:17,440 --> 00:32:21,440 Speaker 1: that you know, we've been told, or the way that 533 00:32:21,480 --> 00:32:23,520 Speaker 1: we figured out that it happened. I mean, that's really 534 00:32:23,520 --> 00:32:25,520 Speaker 1: what's going on here. That's really the way that they're 535 00:32:26,280 --> 00:32:29,960 Speaker 1: they're pushing this, and it's just it's very frustrating because 536 00:32:30,000 --> 00:32:34,440 Speaker 1: we're not going to get justice. We're not going to 537 00:32:34,480 --> 00:32:38,360 Speaker 1: be told the truth about what's well, we're gonna told 538 00:32:38,360 --> 00:32:39,960 Speaker 1: the truth, but we're not going to ever see anybody 539 00:32:39,960 --> 00:32:44,959 Speaker 1: really punish for it, which is deeply frustrating. By the way, 540 00:32:45,080 --> 00:32:47,360 Speaker 1: one other area where we're not going to get justice 541 00:32:47,480 --> 00:32:51,840 Speaker 1: is I really would like us to stop hearing this lie. 542 00:32:52,440 --> 00:32:56,120 Speaker 1: It's a lie that never seems to go away. But 543 00:32:56,240 --> 00:32:58,840 Speaker 1: it's that and liberals say this all that I hear 544 00:32:58,880 --> 00:33:03,160 Speaker 1: liberals continuously saying this. They keep saying that Stacey Abrams 545 00:33:03,200 --> 00:33:08,600 Speaker 1: really won the Georgia governatorial race. She did not win. 546 00:33:08,760 --> 00:33:12,680 Speaker 1: There's no evidence that she won, but Beto keeps perpetuating 547 00:33:12,680 --> 00:33:17,760 Speaker 1: this among many others running around saying that she won 548 00:33:17,920 --> 00:33:26,560 Speaker 1: the Georgia gubernatorial race. Here is Beto O'Rourke. We have 549 00:33:26,680 --> 00:33:32,040 Speaker 1: functionally disenfranchise hundreds of thousands of our fellow Americans. But 550 00:33:32,280 --> 00:33:35,120 Speaker 1: for what you've just described, Stacey Abrams would be the 551 00:33:35,160 --> 00:33:37,920 Speaker 1: governor of the state of Georgia right now. Based on 552 00:33:37,960 --> 00:33:42,360 Speaker 1: your race and your ethnicity African American, Mexican American, to 553 00:33:42,440 --> 00:33:46,560 Speaker 1: be specific. You were drawn out of a congressional district 554 00:33:46,760 --> 00:33:49,880 Speaker 1: to diminish the power of your vote or the likelihood 555 00:33:49,920 --> 00:33:52,560 Speaker 1: that your voice would ever be heard. So the answer 556 00:33:52,560 --> 00:33:54,600 Speaker 1: to this has to be a new voting rights Act 557 00:33:54,640 --> 00:33:58,360 Speaker 1: that takes away every single barrier that no longer allows 558 00:33:58,440 --> 00:34:02,479 Speaker 1: us to jerrymander based on race or ethnicity, or party 559 00:34:02,520 --> 00:34:07,120 Speaker 1: persuasion or anything. Well, how do you get rid of jerrymandering, 560 00:34:07,160 --> 00:34:11,080 Speaker 1: betto When congressional districts are randomly drawn in the first place, 561 00:34:12,280 --> 00:34:15,120 Speaker 1: who's gonna who's gonna determine what's jerry mander and what's not. 562 00:34:15,840 --> 00:34:18,040 Speaker 1: The Supreme Court just looked at this, they said, sorry, 563 00:34:18,800 --> 00:34:21,040 Speaker 1: this is the way it goes. States get to determine 564 00:34:21,040 --> 00:34:23,200 Speaker 1: what their congressional districts are. We leave it to the states. 565 00:34:23,200 --> 00:34:25,640 Speaker 1: That's the way this is gonna go. Letna be some 566 00:34:25,680 --> 00:34:29,680 Speaker 1: special commission. Oh, you mean like central planning. A bunch 567 00:34:29,680 --> 00:34:31,839 Speaker 1: of people that are making decisions that they're far away 568 00:34:31,880 --> 00:34:35,240 Speaker 1: from they don't really understand. But their word is law. 569 00:34:36,239 --> 00:34:40,839 Speaker 1: That's a bad idea. That's a bad idea. The new 570 00:34:41,000 --> 00:34:43,080 Speaker 1: Voting Rights Act that Betto says he wants. He doesn't 571 00:34:43,080 --> 00:34:45,400 Speaker 1: even know what would be in it. But more to 572 00:34:45,400 --> 00:34:51,080 Speaker 1: the point, here's another case where they aren't lying. They 573 00:34:51,080 --> 00:34:54,840 Speaker 1: are lying about something. The media is not challenging Betto 574 00:34:54,960 --> 00:35:00,400 Speaker 1: for saying this, and this is under my This is 575 00:35:00,440 --> 00:35:03,719 Speaker 1: doing exactly what they accuse us of doing. We've never 576 00:35:03,800 --> 00:35:06,120 Speaker 1: we don't do it. They do it. They say, we don't. 577 00:35:06,640 --> 00:35:08,440 Speaker 1: We're not going to believe the results of an election. 578 00:35:08,520 --> 00:35:10,280 Speaker 1: They said, oh, Trump's not going to accept the results 579 00:35:10,280 --> 00:35:12,680 Speaker 1: of an election. Well, Hillary didn't accept the results of 580 00:35:12,680 --> 00:35:16,120 Speaker 1: the election. Libs have never accepted the results of that 581 00:35:16,239 --> 00:35:19,440 Speaker 1: twenty sixteen election. And on top of that, here you 582 00:35:19,480 --> 00:35:24,760 Speaker 1: have another lie about another important election that got national 583 00:35:24,840 --> 00:35:27,920 Speaker 1: level attention, and they just don't stop lying about it. 584 00:35:28,840 --> 00:35:31,360 Speaker 1: That the reasons Daisy Aram's loss is because of racism 585 00:35:31,360 --> 00:35:34,680 Speaker 1: and disenfranchises. It's just not true. Have you seen a 586 00:35:34,800 --> 00:35:39,359 Speaker 1: single Lib journalist push any of the Democratic candidates who 587 00:35:39,400 --> 00:35:41,400 Speaker 1: say this, which many, if not all of them do 588 00:35:41,480 --> 00:35:45,520 Speaker 1: for facts, No, of course not. They just always they're propagandists, folks. 589 00:35:45,760 --> 00:35:48,320 Speaker 1: The overseas projects he's trying to defund have some pretty 590 00:35:48,320 --> 00:35:51,680 Speaker 1: serious foreign policy consequences. Exactly is it a done deal 591 00:35:51,800 --> 00:35:53,319 Speaker 1: or do you think this is something that still might 592 00:35:53,320 --> 00:35:57,000 Speaker 1: be blocked. We have to stop it. There's absolutely no 593 00:35:57,120 --> 00:35:59,600 Speaker 1: choice about having to fight back on this, and this 594 00:35:59,640 --> 00:36:02,399 Speaker 1: is going to be one big, big battle, not only 595 00:36:02,440 --> 00:36:04,960 Speaker 1: because of the effect as you so correctly pointed out 596 00:36:05,000 --> 00:36:08,760 Speaker 1: on our relationships, trying to push back on Putin making 597 00:36:08,760 --> 00:36:12,600 Speaker 1: sure that he doesn't have the opportunity to overrun Estonia, Lafia, 598 00:36:12,640 --> 00:36:15,479 Speaker 1: and Lithuania, which you could do in three short days 599 00:36:15,760 --> 00:36:18,239 Speaker 1: if we were not there, if those countries were not 600 00:36:18,320 --> 00:36:22,480 Speaker 1: part of NATO. Beyond that, this is a fundamental issue 601 00:36:22,480 --> 00:36:25,960 Speaker 1: of the constitution. The very democracy of America is at 602 00:36:26,000 --> 00:36:31,440 Speaker 1: stake here. No amount of overstatement is too much for 603 00:36:31,480 --> 00:36:33,680 Speaker 1: the Libs. When it comes to President Trump. We know 604 00:36:33,760 --> 00:36:36,400 Speaker 1: that we just you know, he's he's Hitler. He's the 605 00:36:36,440 --> 00:36:40,320 Speaker 1: worst president ever. He's crazy, he's you know, he's a racist, 606 00:36:40,320 --> 00:36:43,160 Speaker 1: he's a rapist, all these things. We know. There's nothing 607 00:36:43,200 --> 00:36:45,759 Speaker 1: that they will he's a traitor. Of course, there's nothing 608 00:36:45,800 --> 00:36:52,560 Speaker 1: that they won't say. They won't say about this president. 609 00:36:53,040 --> 00:36:58,080 Speaker 1: We've been shown that many times over. But now they're 610 00:36:58,080 --> 00:37:03,239 Speaker 1: saying that the border wall building is a constitute, is 611 00:37:03,280 --> 00:37:07,319 Speaker 1: a constitutional crisis. Okay, well, let's look a little bit 612 00:37:07,360 --> 00:37:09,759 Speaker 1: at what they're what they're so objecting to. I mean, 613 00:37:09,800 --> 00:37:11,880 Speaker 1: we've already had the debate over border wall, and the 614 00:37:11,920 --> 00:37:14,279 Speaker 1: Libs were wrong about this. A border wall would be 615 00:37:14,320 --> 00:37:17,440 Speaker 1: helpful at reducing illegal crossings, which, by the way, it 616 00:37:17,440 --> 00:37:19,920 Speaker 1: would also be helpful at allowing border patrol to do 617 00:37:20,000 --> 00:37:23,440 Speaker 1: one of their primary jobs, which is drug and narcotics interdiction, 618 00:37:24,280 --> 00:37:28,800 Speaker 1: which would stem the flow of illegal opioids into this country, 619 00:37:28,840 --> 00:37:33,320 Speaker 1: including heroin and which which are killing tens of thousands 620 00:37:33,320 --> 00:37:35,960 Speaker 1: of Americans, which any normal person should be much more 621 00:37:35,960 --> 00:37:38,480 Speaker 1: concerned about than they're concerned about climate change. But Libs 622 00:37:38,520 --> 00:37:44,200 Speaker 1: aren't normal. They've lost it. So now they're trying to 623 00:37:44,239 --> 00:37:50,960 Speaker 1: find a process argument against the President of the United 624 00:37:51,000 --> 00:37:56,360 Speaker 1: States building the wall with d D funds, and i'll 625 00:37:56,440 --> 00:37:58,440 Speaker 1: this is from the Wall Street Uh no, sorry, this 626 00:37:58,520 --> 00:38:00,440 Speaker 1: from the New York Times of Corse. I was like 627 00:38:00,480 --> 00:38:03,120 Speaker 1: Wall Street drill, no, no, no, no new school at 628 00:38:03,160 --> 00:38:06,959 Speaker 1: Fort Campbell. The money went to Trump's border wall. Here's 629 00:38:06,960 --> 00:38:10,080 Speaker 1: what they're telling you. For almost two decades, families at 630 00:38:10,080 --> 00:38:13,520 Speaker 1: Fort Campbell, the sprawling army base along the Kentucky Tennessee border, 631 00:38:13,960 --> 00:38:16,239 Speaker 1: I've borne the brunt of the country's war efforts as 632 00:38:16,239 --> 00:38:19,200 Speaker 1: a steady clip of troops with one hundred first Airborne 633 00:38:19,239 --> 00:38:23,080 Speaker 1: Division and from special operations units deployed to Afghanistan and Iraq. 634 00:38:24,160 --> 00:38:27,600 Speaker 1: This week, the families discovered that they would not get 635 00:38:27,600 --> 00:38:30,120 Speaker 1: the new middle school they were expecting so that President 636 00:38:30,160 --> 00:38:33,719 Speaker 1: Trump could build his border wall. The school is on 637 00:38:33,760 --> 00:38:36,360 Speaker 1: the list of one hundred and twenty seven projects nearly 638 00:38:36,400 --> 00:38:39,920 Speaker 1: every facet of American military life that will be shifted 639 00:38:40,480 --> 00:38:44,600 Speaker 1: to or suspended to shift three point six billion dollars 640 00:38:44,640 --> 00:38:49,360 Speaker 1: to the wall. Here's the Let me look at this 641 00:38:49,400 --> 00:38:51,160 Speaker 1: list of projects for your for a second. All right, 642 00:38:52,120 --> 00:38:55,319 Speaker 1: So there are things on here that a no doubt 643 00:38:55,320 --> 00:38:58,719 Speaker 1: would be would be good to do. But you see, 644 00:38:58,719 --> 00:39:03,080 Speaker 1: we don't have endless funds. We don't have endless resources. 645 00:39:03,120 --> 00:39:06,120 Speaker 1: This could have been done very easily if Democrats weren't 646 00:39:06,160 --> 00:39:11,480 Speaker 1: just for political reasons, completely intransigent, and not just intransigent, 647 00:39:11,480 --> 00:39:14,200 Speaker 1: but actually actively opposed to border security. I mean they are. 648 00:39:14,880 --> 00:39:21,279 Speaker 1: They are against border security, and that's why they won't 649 00:39:21,320 --> 00:39:23,240 Speaker 1: allow any funny for that. I mean, three billion dollars 650 00:39:23,280 --> 00:39:25,680 Speaker 1: in terms of our federal federal budget for a worthwhile 651 00:39:25,719 --> 00:39:30,480 Speaker 1: project is nothing the drop in the bucket. They're so 652 00:39:30,640 --> 00:39:34,759 Speaker 1: worried about three billion dollars. I mean I mentioned Cylindrity yesterday, 653 00:39:36,080 --> 00:39:40,400 Speaker 1: which had hundreds of millions of dollars, and that was 654 00:39:40,440 --> 00:39:45,560 Speaker 1: just one private solar boondoggle, hundreds of millions of dollars 655 00:39:44,840 --> 00:39:52,960 Speaker 1: of taxpayer guarantee for the Cylinder project, you know, And 656 00:39:54,440 --> 00:39:57,480 Speaker 1: that's just one random project that was a company that 657 00:39:57,560 --> 00:39:59,600 Speaker 1: never that was politically connected and never should have gotten 658 00:39:59,600 --> 00:40:02,279 Speaker 1: the money that. But anyway, three billion dollars for a 659 00:40:02,320 --> 00:40:05,040 Speaker 1: wall a wall is really important. So while the New 660 00:40:05,080 --> 00:40:09,239 Speaker 1: York Times and others are looking at this and saying, 661 00:40:09,239 --> 00:40:12,040 Speaker 1: oh my gosh, you know, there's a military basis not 662 00:40:12,040 --> 00:40:13,799 Speaker 1: going to get the new middle school that it was 663 00:40:13,800 --> 00:40:15,600 Speaker 1: waiting for. I mean, look, I'm not trying to say 664 00:40:15,600 --> 00:40:17,120 Speaker 1: that it wouldn't be nicer than I have a middle school. 665 00:40:17,160 --> 00:40:20,680 Speaker 1: Middle school, they should. But if it's between Fort Campbell 666 00:40:20,760 --> 00:40:25,360 Speaker 1: getting a new middle school and preventing a few tons 667 00:40:25,440 --> 00:40:28,840 Speaker 1: of opioids from getting into the country because one sector 668 00:40:28,880 --> 00:40:32,680 Speaker 1: of the border is finally able to be secured because 669 00:40:32,719 --> 00:40:34,480 Speaker 1: of the wall, well, these are the decisions that we 670 00:40:34,520 --> 00:40:37,200 Speaker 1: make in government all the time, and these are decisions 671 00:40:37,239 --> 00:40:39,840 Speaker 1: that are being made in the executive branch. And I 672 00:40:39,920 --> 00:40:42,120 Speaker 1: think the presidents well in his rights to do it. 673 00:40:42,280 --> 00:40:46,120 Speaker 1: I think that these process objections to how this is 674 00:40:46,160 --> 00:40:49,080 Speaker 1: such a and there are even some conservatives who make this, oh, 675 00:40:49,080 --> 00:40:51,000 Speaker 1: he can't do this, he can't declare a state of 676 00:40:51,000 --> 00:40:54,600 Speaker 1: emergency over this. Well, if he can, and he is. 677 00:40:55,880 --> 00:40:59,359 Speaker 1: So the objection to it on process grounds, I think 678 00:40:59,480 --> 00:41:03,399 Speaker 1: is large just about whining, because to object to it 679 00:41:03,520 --> 00:41:08,200 Speaker 1: on substantive grounds is to say that one just doesn't 680 00:41:08,360 --> 00:41:10,399 Speaker 1: at the end of the day, one just does not 681 00:41:10,520 --> 00:41:17,239 Speaker 1: want and does not believe in having a wall on 682 00:41:17,280 --> 00:41:19,200 Speaker 1: the border because it would help secure the border, and 683 00:41:19,239 --> 00:41:23,200 Speaker 1: they don't want that to happen. They prefer the status quo, 684 00:41:23,880 --> 00:41:29,719 Speaker 1: which is the continuation of infiltration into this country of 685 00:41:29,880 --> 00:41:34,920 Speaker 1: illegal aliens. That's what's really happening here. And you know, 686 00:41:34,960 --> 00:41:41,560 Speaker 1: Mark Morgan of Immigration and Custom Enforcement, he said that 687 00:41:41,600 --> 00:41:44,680 Speaker 1: there's there's a reason to do this and that he 688 00:41:44,719 --> 00:41:47,680 Speaker 1: supports the president. One of the things they need to 689 00:41:47,719 --> 00:41:51,320 Speaker 1: effectively do their job is more wall, and the President 690 00:41:51,440 --> 00:41:54,759 Speaker 1: is delivering. I have full confidence and the Secretary of 691 00:41:54,800 --> 00:41:57,440 Speaker 1: Defense that he is not going to take money that's 692 00:41:57,480 --> 00:42:00,880 Speaker 1: going to impact his ability to safeguard the Nazi security 693 00:42:00,920 --> 00:42:04,160 Speaker 1: this country. This wall is part of a Nasi security 694 00:42:04,200 --> 00:42:07,560 Speaker 1: crisis we have right now Neil on this southwest border. 695 00:42:09,120 --> 00:42:15,839 Speaker 1: So Mark Morgan here is essentially saying the President's right 696 00:42:16,040 --> 00:42:18,400 Speaker 1: on the substance. But more than that, imagine if the 697 00:42:18,440 --> 00:42:24,879 Speaker 1: Democrats were opposed to a lawfully declared war, and their 698 00:42:25,520 --> 00:42:27,640 Speaker 1: their version of how they were going to oppose it 699 00:42:27,719 --> 00:42:30,640 Speaker 1: was would be to say, Okay, well, we can't stop 700 00:42:30,680 --> 00:42:33,400 Speaker 1: this war because there's a there's a resolution for it, 701 00:42:33,520 --> 00:42:36,520 Speaker 1: and it's a lawful war, but we're just going to 702 00:42:36,600 --> 00:42:38,279 Speaker 1: tell the troops that they can't have you know, the 703 00:42:38,480 --> 00:42:42,160 Speaker 1: we're gonna cut their ammunition in half. Would the President 704 00:42:42,160 --> 00:42:44,799 Speaker 1: of the United States in that circumstance be justified and 705 00:42:44,880 --> 00:42:47,680 Speaker 1: saying actually, we're going to take d D funds and 706 00:42:47,760 --> 00:42:49,880 Speaker 1: make sure that our troops have plenty of ammunition for 707 00:42:49,960 --> 00:42:53,080 Speaker 1: the war. Well, now take that to border patrol. Border 708 00:42:53,120 --> 00:42:57,759 Speaker 1: patrol is a legitimate and lawful mission. They need barriers 709 00:42:57,800 --> 00:43:01,480 Speaker 1: to help them carry out that mission. That Democrats disapprove 710 00:43:02,280 --> 00:43:05,560 Speaker 1: of that legitimate and lawful mission does not mean that 711 00:43:05,600 --> 00:43:09,759 Speaker 1: they get to just play spoiler on it and prevent 712 00:43:11,640 --> 00:43:14,480 Speaker 1: an important federal agency from doing a job that it 713 00:43:14,640 --> 00:43:19,759 Speaker 1: is absolutely supposed to do, is valid for it to do. 714 00:43:20,719 --> 00:43:24,480 Speaker 1: And as I've been telling you, there's a few different 715 00:43:24,600 --> 00:43:27,680 Speaker 1: layers that go into this opposition. One is that they 716 00:43:27,760 --> 00:43:31,879 Speaker 1: know that Trump following through on this promise is a 717 00:43:32,000 --> 00:43:35,960 Speaker 1: huge problem for the Democrats in twenty twenty because we 718 00:43:36,000 --> 00:43:38,319 Speaker 1: can play back. It's not just Trump saying build the wall, 719 00:43:38,360 --> 00:43:41,399 Speaker 1: and there will be new wall that's built, and then 720 00:43:41,440 --> 00:43:43,120 Speaker 1: he'll be able to say we are building the wall, 721 00:43:43,120 --> 00:43:44,759 Speaker 1: and no one could fact check him and say, oh, no, 722 00:43:44,800 --> 00:43:47,440 Speaker 1: we're not, and all this other stuff. But also think 723 00:43:47,440 --> 00:43:50,680 Speaker 1: about all the people who were absolutely certain, and there 724 00:43:50,680 --> 00:43:56,160 Speaker 1: are a lot of them Democrats and some so called conservatives. 725 00:43:56,200 --> 00:43:58,000 Speaker 1: I don't know how conservative they were. You know, if 726 00:43:58,040 --> 00:44:00,360 Speaker 1: you're a conservative and you're voting for Democrats in the 727 00:44:00,360 --> 00:44:03,560 Speaker 1: twenty twenty election. You're not a conservative, you're a fake, 728 00:44:03,640 --> 00:44:05,600 Speaker 1: you're a phony. I mean, we can just we should 729 00:44:05,600 --> 00:44:07,680 Speaker 1: just say that, there's no reason to hold back on that. 730 00:44:08,440 --> 00:44:11,359 Speaker 1: But the people that were saying there would never be 731 00:44:11,640 --> 00:44:14,520 Speaker 1: there would just never be a wall, how are they 732 00:44:14,520 --> 00:44:16,840 Speaker 1: going to look when Trump gets this done? How was 733 00:44:16,840 --> 00:44:18,240 Speaker 1: they gonna look for them when all of a sudden, 734 00:44:18,280 --> 00:44:20,600 Speaker 1: Oh yeah, it turns out there is a wall. The 735 00:44:20,680 --> 00:44:24,200 Speaker 1: wall is getting built. The political residence that this is 736 00:44:24,200 --> 00:44:26,359 Speaker 1: going to have in twenty twenty is going to be 737 00:44:26,560 --> 00:44:30,839 Speaker 1: very meaningful. And so Democrats will stop at nothing here, 738 00:44:30,960 --> 00:44:33,200 Speaker 1: and I do either you're going to have legal challenges. 739 00:44:34,400 --> 00:44:37,480 Speaker 1: They may go they may go to the mat on 740 00:44:37,520 --> 00:44:39,239 Speaker 1: this in ways that I can't even really foresee it. 741 00:44:39,239 --> 00:44:40,680 Speaker 1: I don't know, I don't even know what that would be. 742 00:44:40,719 --> 00:44:43,080 Speaker 1: But they've got to prevent in their mind, they've got 743 00:44:43,080 --> 00:44:45,080 Speaker 1: to prevent Trump from from building that wall, because if 744 00:44:45,120 --> 00:44:47,799 Speaker 1: he builds it, it's a campaign promise to fill. They'll 745 00:44:47,840 --> 00:44:52,000 Speaker 1: look foolish. And I think Trump will be unstoppable going 746 00:44:52,040 --> 00:44:54,160 Speaker 1: in the twenty twenty election. With three point seven percent 747 00:44:54,239 --> 00:44:57,560 Speaker 1: unemployment today, mean things are good, things are good, and 748 00:44:58,560 --> 00:45:01,280 Speaker 1: the wall is going to help. But the borders already 749 00:45:01,320 --> 00:45:04,960 Speaker 1: getting to be more secure. It's still in bad shape, 750 00:45:04,960 --> 00:45:07,680 Speaker 1: but it's getting better under Trump's watch. So he's trying 751 00:45:07,680 --> 00:45:11,480 Speaker 1: to deliver folks. Let it continue to play out. You're 752 00:45:11,520 --> 00:45:14,759 Speaker 1: out of the administration, now, are you still taking heat 753 00:45:14,840 --> 00:45:17,680 Speaker 1: when you go out to eat? Uh? Sometimes? You know, 754 00:45:17,719 --> 00:45:20,239 Speaker 1: it usually depends on where I am in the country. 755 00:45:20,600 --> 00:45:23,480 Speaker 1: Um at home back home in Arkansas. Things have so 756 00:45:23,600 --> 00:45:26,920 Speaker 1: far been pretty easy and very welcoming about here in 757 00:45:26,920 --> 00:45:29,239 Speaker 1: New York City. It's it's hit or miss. What I 758 00:45:29,280 --> 00:45:31,799 Speaker 1: always find interesting is ninety nine percent of the people 759 00:45:31,840 --> 00:45:34,600 Speaker 1: that come over to say something negative and to attack 760 00:45:34,680 --> 00:45:38,280 Speaker 1: you or women. And I find that very startling from 761 00:45:38,520 --> 00:45:42,160 Speaker 1: a you know, group of people that claim to be 762 00:45:42,320 --> 00:45:45,760 Speaker 1: the champions of women empowerment. I'm only the third woman 763 00:45:46,040 --> 00:45:48,279 Speaker 1: and the first mom to ever be the White House 764 00:45:48,320 --> 00:45:53,759 Speaker 1: Press Secretary, and yet women attack me relentlessly instead of 765 00:45:53,960 --> 00:45:56,040 Speaker 1: you know, being proud that we have more women doing 766 00:45:56,480 --> 00:46:00,439 Speaker 1: uh those time you ever say that. A few things 767 00:46:00,440 --> 00:46:02,839 Speaker 1: that work here, as Sarah Huckaby Sanders is talking about 768 00:46:02,880 --> 00:46:04,440 Speaker 1: the way that she has treated now that she is 769 00:46:04,480 --> 00:46:08,719 Speaker 1: out of the administration, of a few things that are 770 00:46:09,160 --> 00:46:17,520 Speaker 1: going on. One is that unfortunately the Libs, and this 771 00:46:17,600 --> 00:46:20,480 Speaker 1: is the shorter conversation, I think. But the Libs once 772 00:46:20,520 --> 00:46:24,960 Speaker 1: again manage to even though they've lost, and that Trump 773 00:46:25,080 --> 00:46:29,960 Speaker 1: is president, and Sarah Sanders has become a household name 774 00:46:30,000 --> 00:46:34,920 Speaker 1: and did a very respectable job in that role of 775 00:46:35,239 --> 00:46:39,319 Speaker 1: White House Press secretary. There's a message that has been 776 00:46:39,360 --> 00:46:41,960 Speaker 1: sent here, and the message is, if you work for 777 00:46:42,040 --> 00:46:46,000 Speaker 1: a Republican administration, if you work for specifically the Trump administration, 778 00:46:47,000 --> 00:46:49,839 Speaker 1: you're a fair game. People are going to come after you. 779 00:46:50,120 --> 00:46:52,239 Speaker 1: They're going to be mean to you, they're going to 780 00:46:52,239 --> 00:46:55,839 Speaker 1: try and hurt your career. They're going to go they're 781 00:46:55,840 --> 00:46:58,799 Speaker 1: going to try to make an effort to make your 782 00:46:59,239 --> 00:47:04,360 Speaker 1: life more difficult. That's that's what they planted. That's what 783 00:47:04,400 --> 00:47:07,120 Speaker 1: they're going to do. And that has an effect. It 784 00:47:07,160 --> 00:47:09,560 Speaker 1: has an effect on who's willing to go work for 785 00:47:09,600 --> 00:47:13,160 Speaker 1: an administration, has an effect on what kind of people 786 00:47:13,200 --> 00:47:18,520 Speaker 1: are willing to put themselves in that reputation with that 787 00:47:18,600 --> 00:47:23,320 Speaker 1: reputational risk in play. And so that's that's already something 788 00:47:23,360 --> 00:47:26,399 Speaker 1: you have to keep in mind is that this this 789 00:47:26,440 --> 00:47:29,960 Speaker 1: doesn't happen. This didn't happen to any Obama administration officials. 790 00:47:29,760 --> 00:47:33,160 Speaker 1: It just didn't. They weren't worried about going to restaurants 791 00:47:33,200 --> 00:47:36,279 Speaker 1: in any city, but the more interested. But you are, 792 00:47:36,320 --> 00:47:37,920 Speaker 1: you already know that, right, But this is what they do. 793 00:47:37,960 --> 00:47:42,160 Speaker 1: I mean libs, they can't help themselves. They've become they've 794 00:47:42,160 --> 00:47:45,960 Speaker 1: really become radicalized leftist. It's to be a radicalized leftist 795 00:47:46,000 --> 00:47:51,120 Speaker 1: now is a much more. It's just very it's mainstream. 796 00:47:51,239 --> 00:47:54,040 Speaker 1: It's really not radical. I mean, it's radical from our perspective, 797 00:47:54,080 --> 00:47:58,000 Speaker 1: but it's not rare. Usually you think of radicals as outliers, 798 00:47:58,000 --> 00:47:59,799 Speaker 1: but that's not always the case. Sometimes the radicals are 799 00:48:00,200 --> 00:48:04,879 Speaker 1: in charge, and right now with the left the way 800 00:48:04,880 --> 00:48:08,520 Speaker 1: that it is the Democrat Party, this country is run 801 00:48:08,560 --> 00:48:13,080 Speaker 1: by the more radical elements of it. But then there's 802 00:48:13,120 --> 00:48:17,200 Speaker 1: the component of this discussion that Sarah Hugaby Sanders brings 803 00:48:17,239 --> 00:48:20,320 Speaker 1: up where she's talking about women and how it's women 804 00:48:20,360 --> 00:48:23,600 Speaker 1: who go up tour, which I have to say is 805 00:48:22,680 --> 00:48:26,120 Speaker 1: not is not surprising to me. And this is a 806 00:48:26,160 --> 00:48:34,759 Speaker 1: reminder of a very common difference I see between the 807 00:48:34,800 --> 00:48:38,680 Speaker 1: way that liberal women often Right, we're speaking in generalities here, 808 00:48:38,800 --> 00:48:42,719 Speaker 1: so this is never going to be perfect, but how 809 00:48:42,760 --> 00:48:47,759 Speaker 1: liberal women often act and the way more conservative women 810 00:48:47,840 --> 00:48:52,239 Speaker 1: act in public and what I mean here is that 811 00:48:53,040 --> 00:48:59,040 Speaker 1: the liberal women have been told that their perspective as 812 00:48:59,160 --> 00:49:04,440 Speaker 1: leftists is the only acceptable perspective for a woman to have. 813 00:49:04,560 --> 00:49:07,400 Speaker 1: This is this is an extension of the identity politics 814 00:49:07,400 --> 00:49:10,920 Speaker 1: that so dominates the left. Liberal women have been told 815 00:49:11,440 --> 00:49:16,120 Speaker 1: that their version of being a their version of the 816 00:49:16,120 --> 00:49:18,520 Speaker 1: world as women, is the only one that is acceptable 817 00:49:18,560 --> 00:49:20,759 Speaker 1: for a woman to have. And so when they come 818 00:49:20,800 --> 00:49:25,080 Speaker 1: across a woman who does not hold there but it 819 00:49:25,200 --> 00:49:27,640 Speaker 1: does not share their beliefs, is not involved in their 820 00:49:28,880 --> 00:49:37,600 Speaker 1: their worldview, they feel entirely justified in being very nasty 821 00:49:37,680 --> 00:49:43,760 Speaker 1: that person because she's betraying her gender. That's where this really, 822 00:49:43,840 --> 00:49:47,080 Speaker 1: that's where this really comes to ahead they're betraying they 823 00:49:47,239 --> 00:49:51,360 Speaker 1: viewed Sarah Huckebee Sanders as a gender the liberal women 824 00:49:51,840 --> 00:49:56,879 Speaker 1: as a gender betrayer. I just don't come across conservative 825 00:49:56,880 --> 00:49:59,839 Speaker 1: women who feel the same need. I mean, I could 826 00:49:59,880 --> 00:50:04,560 Speaker 1: say this, I do not know anybody personally who would 827 00:50:04,800 --> 00:50:08,799 Speaker 1: I would expect to go up to a female member 828 00:50:08,800 --> 00:50:12,680 Speaker 1: of the Obama administrator, the former Obama administration and say 829 00:50:12,719 --> 00:50:15,640 Speaker 1: anything nasty to them. And I would be very embarrassed 830 00:50:15,719 --> 00:50:18,000 Speaker 1: if anyone that I considered a friend or an associate 831 00:50:18,040 --> 00:50:19,640 Speaker 1: did that, I'd be embarrassed by it. Even if I 832 00:50:19,680 --> 00:50:21,520 Speaker 1: had nothing to do with it would still be an embarrassment. 833 00:50:22,880 --> 00:50:25,560 Speaker 1: Liberals they don't mind this stuff. They don't mind getting 834 00:50:25,560 --> 00:50:31,040 Speaker 1: shrill and nasty and attacking. And this is why someone 835 00:50:31,080 --> 00:50:34,560 Speaker 1: like Sarah Huckabee Sanders now has to always be paying 836 00:50:34,600 --> 00:50:36,080 Speaker 1: attention to this. I mean, think about what that would 837 00:50:36,080 --> 00:50:37,239 Speaker 1: be like for the rest of your life. You're in 838 00:50:37,280 --> 00:50:39,719 Speaker 1: a restaurant, at least for the next few years. You're 839 00:50:39,760 --> 00:50:41,560 Speaker 1: in a restaurant and someone could come up to You're 840 00:50:41,600 --> 00:50:44,399 Speaker 1: just trying to have a nice time, enjoy a meal 841 00:50:44,480 --> 00:50:46,759 Speaker 1: with your your husband or your wife and your kids, 842 00:50:47,080 --> 00:50:48,839 Speaker 1: and someone's maybe going to come along and say something 843 00:50:48,960 --> 00:50:51,600 Speaker 1: really nasty to you. And I just want to ask them, 844 00:50:51,640 --> 00:50:54,360 Speaker 1: what exactly is Sarah Huckabe's crime? A you worked for 845 00:50:54,360 --> 00:50:56,520 Speaker 1: President Trump. A lot of people work for President Trump 846 00:50:57,840 --> 00:51:01,000 Speaker 1: and President Trump up to this point in time. If 847 00:51:01,080 --> 00:51:03,520 Speaker 1: you look at what had gone on, what had happened 848 00:51:04,320 --> 00:51:07,520 Speaker 1: in the first three years of the Obama administration versus 849 00:51:07,560 --> 00:51:09,640 Speaker 1: what's happened in the first three years of the Trump administration. 850 00:51:11,040 --> 00:51:14,200 Speaker 1: Trump is just objectively doing a better job as president. 851 00:51:14,360 --> 00:51:17,680 Speaker 1: I think he's just better at this job. He doesn't 852 00:51:17,719 --> 00:51:19,920 Speaker 1: do it in a way that liberals and the elites 853 00:51:20,120 --> 00:51:23,239 Speaker 1: think he should. His tone is wrong for them, his 854 00:51:23,360 --> 00:51:26,920 Speaker 1: approach is wrong for them. That's all. Yeah, I get that, 855 00:51:27,440 --> 00:51:31,160 Speaker 1: you know, that's all going on. But the fact of 856 00:51:31,200 --> 00:51:33,319 Speaker 1: the matter is that by all the metrics that where 857 00:51:33,360 --> 00:51:36,080 Speaker 1: you can gauge this, Trump is actually doing quite well. 858 00:51:36,280 --> 00:51:39,920 Speaker 1: And that doesn't matter to the liberals the leftists who 859 00:51:39,960 --> 00:51:44,120 Speaker 1: want to go and attack Sarah Huckabee Sanders and try 860 00:51:44,120 --> 00:51:46,280 Speaker 1: to ridicule her in public and make her feel small, 861 00:51:47,280 --> 00:51:52,040 Speaker 1: as though she's a bad person. This should be repudiated 862 00:51:52,239 --> 00:51:55,719 Speaker 1: that the left does not share this broadly speaking. And 863 00:51:55,760 --> 00:51:57,560 Speaker 1: I'll tell you I've spoken to even people in the 864 00:51:57,560 --> 00:52:00,680 Speaker 1: media who are Democrats, and they'll say, you know, sorry, 865 00:52:00,719 --> 00:52:02,799 Speaker 1: if you work for Trump, you know you get you 866 00:52:02,840 --> 00:52:05,200 Speaker 1: get what you deserve. Sorry, you know, I don't really 867 00:52:05,239 --> 00:52:06,920 Speaker 1: want to hear it. You know, if you work for Trump, 868 00:52:06,960 --> 00:52:09,600 Speaker 1: this is kind of the this is kind of the 869 00:52:09,640 --> 00:52:12,799 Speaker 1: way it's gonna be. They don't they're not appalled by this. 870 00:52:13,560 --> 00:52:15,920 Speaker 1: They weren't appalled by it when we went through that phase. 871 00:52:16,640 --> 00:52:19,760 Speaker 1: What was it about a year ago where you had 872 00:52:20,280 --> 00:52:23,560 Speaker 1: people being chased out of restaurants who were conservative. You know, 873 00:52:23,600 --> 00:52:27,520 Speaker 1: hat Sara Hugaby Sanders, you had Kristen Nielsen. Obviously they 874 00:52:27,520 --> 00:52:29,400 Speaker 1: showed up at Tucker Crowston's house. He doesn't work for 875 00:52:29,400 --> 00:52:32,799 Speaker 1: the administration, but he's considered pro Trump, and that can 876 00:52:32,840 --> 00:52:35,839 Speaker 1: be enough. And I'll just say to you right now, 877 00:52:36,080 --> 00:52:38,920 Speaker 1: I am in the town that I was born and 878 00:52:39,000 --> 00:52:42,319 Speaker 1: raised in where I know, I know this place very 879 00:52:42,440 --> 00:52:45,840 Speaker 1: very well. And I also know that if I walked 880 00:52:45,920 --> 00:52:52,000 Speaker 1: around any neighborhood in Manhattan with a Maga hat on, 881 00:52:52,800 --> 00:52:56,440 Speaker 1: there is a very high likelihood that somebody would that 882 00:52:56,600 --> 00:53:01,480 Speaker 1: people would sneer at me, curse at me. Somebody might 883 00:53:01,520 --> 00:53:03,319 Speaker 1: even stop and try to tell me off, you know, 884 00:53:03,400 --> 00:53:07,680 Speaker 1: try to have some words with me for wearing a 885 00:53:07,719 --> 00:53:11,160 Speaker 1: hat that has the slogan associated with the president, the 886 00:53:11,200 --> 00:53:15,279 Speaker 1: sitting president the United States, that tells you something, this 887 00:53:15,760 --> 00:53:18,200 Speaker 1: is this is different. You wouldn't you haven't had this 888 00:53:18,239 --> 00:53:21,440 Speaker 1: in the past. You you would have been able, I think, 889 00:53:21,440 --> 00:53:26,400 Speaker 1: to walk around with a Bush a Bush Cheney t 890 00:53:26,560 --> 00:53:29,600 Speaker 1: shirt on in the early two thousands and people wouldn't 891 00:53:29,640 --> 00:53:31,400 Speaker 1: have liked it. I'm not saying that they wouldn't have 892 00:53:31,400 --> 00:53:33,920 Speaker 1: been on your team with it, but they probably wouldn't 893 00:53:33,920 --> 00:53:39,480 Speaker 1: have thrown rotten tomatoes at you. Now you better get 894 00:53:39,480 --> 00:53:41,279 Speaker 1: ready to duck, because they're going to come after you, 895 00:53:41,320 --> 00:53:45,360 Speaker 1: because nastiness has been mainstreamed on the left. As Sarah 896 00:53:45,400 --> 00:53:47,919 Speaker 1: Huckabee Sanders has found out many times yourself, I don't 897 00:53:47,960 --> 00:53:51,000 Speaker 1: love what he's doing for this city, and it worries me. Listen, 898 00:53:51,080 --> 00:53:53,279 Speaker 1: I'm a Christian. I love everyone, and I love him, 899 00:53:53,480 --> 00:53:55,240 Speaker 1: but I don't love what he's doing for this city, 900 00:53:55,280 --> 00:53:57,839 Speaker 1: and it worries me. When I moved here, everyone said 901 00:53:57,920 --> 00:54:00,759 Speaker 1: you cleaned up Times Square. I don't want it to 902 00:54:00,800 --> 00:54:03,440 Speaker 1: go back to that. How do you feel about Mayor 903 00:54:03,520 --> 00:54:05,680 Speaker 1: de Blasio in the direction of this great city breaks 904 00:54:05,719 --> 00:54:11,200 Speaker 1: my heart, and I worked tirelessly to do that. There 905 00:54:11,200 --> 00:54:13,120 Speaker 1: were times I didn't think I couldn't do it. A 906 00:54:13,160 --> 00:54:14,680 Speaker 1: lot of my friends told me I couldn't do it. 907 00:54:14,800 --> 00:54:16,400 Speaker 1: A lot of my friends told me I was crazy 908 00:54:16,440 --> 00:54:20,719 Speaker 1: to run from Mayor. I should run from Governor. Bill 909 00:54:20,840 --> 00:54:25,320 Speaker 1: de Blasio is the mayor of New York City. He 910 00:54:25,840 --> 00:54:30,800 Speaker 1: log I think it was single digits for total time 911 00:54:30,920 --> 00:54:36,400 Speaker 1: working at city Hall for the month of August. The 912 00:54:36,480 --> 00:54:44,040 Speaker 1: guy is considered incredibly lazy and just something of a 913 00:54:44,680 --> 00:54:48,480 Speaker 1: political waste roll. I mean, the guy just doesn't doesn't 914 00:54:48,520 --> 00:54:54,399 Speaker 1: really do anything other than run for president incredibly unsuccessfully 915 00:54:54,680 --> 00:54:59,120 Speaker 1: and also do a little bit of social justice bowing 916 00:54:59,200 --> 00:55:02,279 Speaker 1: here and there, trying to get people different constituencies to 917 00:55:02,920 --> 00:55:05,880 Speaker 1: think that he's on their side, you know. But de Blasio, 918 00:55:06,520 --> 00:55:10,200 Speaker 1: he's as a complete buffoon. As I've said, only mayor 919 00:55:10,239 --> 00:55:12,560 Speaker 1: of New York City, the biggest city in the United States, 920 00:55:12,560 --> 00:55:14,200 Speaker 1: Only the mayor of the city where I'm doing the 921 00:55:14,239 --> 00:55:21,440 Speaker 1: show right now. Really because Anthony Weiner couldn't bring himself 922 00:55:21,480 --> 00:55:26,680 Speaker 1: to stop sending Wiener photos to people, including to a 923 00:55:27,360 --> 00:55:29,160 Speaker 1: girl who was who was under age, and you know, 924 00:55:29,239 --> 00:55:31,120 Speaker 1: now he got obviously, he got sent to prison for that. 925 00:55:31,400 --> 00:55:37,440 Speaker 1: So there were some very particular and peculiar, peculiar circumstances 926 00:55:37,560 --> 00:55:43,680 Speaker 1: that led to this. And the truth is Deblasio never 927 00:55:43,719 --> 00:55:45,640 Speaker 1: should have been the mayor of anything. I mean, Deblasio 928 00:55:45,680 --> 00:55:49,200 Speaker 1: shouldn't be the mayor of a city with eight thousand people, 929 00:55:49,280 --> 00:55:53,120 Speaker 1: never mind eight million people. But it's also a reminder 930 00:55:53,160 --> 00:55:57,720 Speaker 1: about how, you know, leftists, they never learn their lessons 931 00:55:57,840 --> 00:56:03,320 Speaker 1: about cities. You show me a city that is run 932 00:56:03,400 --> 00:56:07,080 Speaker 1: by far left liberals, and I'll show you a city 933 00:56:07,120 --> 00:56:10,600 Speaker 1: that is in decline now. In the case of New York, 934 00:56:10,640 --> 00:56:13,759 Speaker 1: it got so safe, it was so cleaned up, and 935 00:56:13,840 --> 00:56:17,440 Speaker 1: there was such a concentration of wealth here. New York 936 00:56:17,480 --> 00:56:21,120 Speaker 1: City became a real estate haven where people from all 937 00:56:21,160 --> 00:56:25,319 Speaker 1: over the world would basically dump their money into very 938 00:56:25,400 --> 00:56:27,960 Speaker 1: high end real estate here where it would be safe 939 00:56:27,960 --> 00:56:30,239 Speaker 1: and also would appreciate. It was a great investment if 940 00:56:30,280 --> 00:56:33,160 Speaker 1: you could afford to spend ten million dollars on an 941 00:56:33,160 --> 00:56:34,839 Speaker 1: apartment in New York City, Believe it or not, there's 942 00:56:34,880 --> 00:56:38,040 Speaker 1: a lot of those. You know, there's some states where 943 00:56:38,080 --> 00:56:39,920 Speaker 1: the most expensive house in the whole state, I think 944 00:56:40,080 --> 00:56:42,839 Speaker 1: is like three four million bucks. In New York City 945 00:56:42,880 --> 00:56:44,839 Speaker 1: there are ten million. There are buildings full of nothing 946 00:56:44,840 --> 00:56:48,440 Speaker 1: but ten million dollars apartments pretty much. There's some apartments 947 00:56:48,480 --> 00:56:51,000 Speaker 1: here that go upwards of one hundred million dollars. So 948 00:56:51,120 --> 00:56:54,120 Speaker 1: there's a tremendous amount of wealth concentration here. And because 949 00:56:54,160 --> 00:56:57,880 Speaker 1: of that, and because of the turnaround in crime from 950 00:56:57,880 --> 00:57:04,640 Speaker 1: the Giuliani era, you have accumulated a lot of And look, 951 00:57:04,680 --> 00:57:06,879 Speaker 1: Bloomberg did a pretty good job running the city too. 952 00:57:06,920 --> 00:57:08,440 Speaker 1: I think that people need to give credit where it's 953 00:57:08,480 --> 00:57:11,920 Speaker 1: due on that. Bloomberg is terrible on guns. He's a 954 00:57:11,920 --> 00:57:15,359 Speaker 1: big nanny state guy. He's like, now more using straws, 955 00:57:15,960 --> 00:57:19,560 Speaker 1: no more big sodas you know Bloomberg is that's a 956 00:57:19,560 --> 00:57:21,920 Speaker 1: little bit of an exaggerated Bloomberg accent, but you get 957 00:57:21,960 --> 00:57:25,800 Speaker 1: the idea. Kind of sounds like that. You know, Daniel 958 00:57:25,960 --> 00:57:30,400 Speaker 1: Bloomberg obla Espanol. I'll never forget what he would he 959 00:57:30,440 --> 00:57:33,440 Speaker 1: would kick into his version of Spanish sometimes during the 960 00:57:34,320 --> 00:57:42,320 Speaker 1: you know, hobless p piquito Espanol, Bloomberg, bloombergo. But he 961 00:57:42,360 --> 00:57:44,560 Speaker 1: did a good job. The problem you run into with 962 00:57:44,600 --> 00:57:49,040 Speaker 1: liberals is that they ruin things in stages, and because 963 00:57:49,080 --> 00:57:52,520 Speaker 1: it can take time for a place to be ruined, 964 00:57:53,200 --> 00:57:56,120 Speaker 1: no lib is ever really held responsible, and in fact, 965 00:57:56,120 --> 00:58:01,080 Speaker 1: they will always claim that they're ideologically motivated decisions had 966 00:58:01,120 --> 00:58:02,920 Speaker 1: nothing to do with it. You see this in San Francisco, 967 00:58:02,960 --> 00:58:04,680 Speaker 1: you see this in Los Angeles. You're seeing this now 968 00:58:04,680 --> 00:58:10,160 Speaker 1: in New York City. It's never that changing, the dynamic 969 00:58:10,200 --> 00:58:14,080 Speaker 1: between city hall and the police force, deciding that cops 970 00:58:14,680 --> 00:58:17,760 Speaker 1: are are going to be political pawns who sometimes get 971 00:58:18,520 --> 00:58:22,640 Speaker 1: fed the lions. Thinking that that living, being able to 972 00:58:22,680 --> 00:58:26,320 Speaker 1: live on the streets is a is some basic human 973 00:58:26,440 --> 00:58:28,720 Speaker 1: right that you can be a vagrant, that you can 974 00:58:28,760 --> 00:58:32,200 Speaker 1: live on the sidewalks, pitch a tent, you know, relieve 975 00:58:32,240 --> 00:58:36,000 Speaker 1: yourself in public, do do whatever you gotta do. Liberals 976 00:58:36,040 --> 00:58:38,920 Speaker 1: are supportive of this. It is it is surprising at 977 00:58:38,960 --> 00:58:41,680 Speaker 1: some level, you would think that they would much rather 978 00:58:42,080 --> 00:58:48,600 Speaker 1: create larger shelter and and and even mental health support 979 00:58:48,680 --> 00:58:53,160 Speaker 1: systems for people that are that are homeless. But liberals 980 00:58:53,160 --> 00:58:56,840 Speaker 1: have taken this position of it's a it's a right. 981 00:58:57,000 --> 00:59:01,440 Speaker 1: You have a fundamental right to live as a homeless 982 00:59:01,480 --> 00:59:04,240 Speaker 1: person on the streets of whatever major American city you want, 983 00:59:04,280 --> 00:59:09,080 Speaker 1: including all of the issues that come up as a 984 00:59:09,120 --> 00:59:13,400 Speaker 1: result of that with crime and sanitation, and just also 985 00:59:13,440 --> 00:59:15,560 Speaker 1: bring it. Look, let's be honest, bring down property values. 986 00:59:15,560 --> 00:59:18,320 Speaker 1: I mean, who wants to live across the street from 987 00:59:18,360 --> 00:59:21,479 Speaker 1: a tent city? Who wants to live across the street 988 00:59:21,520 --> 00:59:24,320 Speaker 1: from people who are living on the street. This is 989 00:59:25,000 --> 00:59:27,520 Speaker 1: a problem in New York. I can tell you that 990 00:59:27,600 --> 00:59:29,840 Speaker 1: I was in Times Square ever early in the morning 991 00:59:29,840 --> 00:59:32,760 Speaker 1: on my way to a Fox hit last weekend, and 992 00:59:32,880 --> 00:59:36,120 Speaker 1: had a very It was early, so we're in the 993 00:59:36,160 --> 00:59:38,680 Speaker 1: morning that I don't even remember it all that well, 994 00:59:39,080 --> 00:59:41,920 Speaker 1: but I was approached and accosted. And I'm from here. 995 00:59:41,920 --> 00:59:44,160 Speaker 1: I mean I grew up here, and I'm I know 996 00:59:44,320 --> 00:59:46,760 Speaker 1: some of you would be surprised, but I'm not a 997 00:59:46,880 --> 00:59:50,280 Speaker 1: small not a small dude. I'm six feet tall and 998 00:59:50,280 --> 00:59:54,960 Speaker 1: two hundred pounds. And a guy came over and was 999 00:59:55,360 --> 01:00:01,360 Speaker 1: very aggressive, demanding money, not asking politely excuse me, Sarah, 1000 01:00:01,400 --> 01:00:03,920 Speaker 1: could I you know, he was very aggressive. He was 1001 01:00:03,920 --> 01:00:07,040 Speaker 1: demanding that I gave him money, and I, believe it 1002 01:00:07,120 --> 01:00:09,680 Speaker 1: or not, kind of kind of barked at him, like, 1003 01:00:09,800 --> 01:00:14,320 Speaker 1: not actually bark but kind of, you know, said bleep off, buddy, 1004 01:00:15,080 --> 01:00:18,160 Speaker 1: And uh but I hadn't seen. You know, there's there's 1005 01:00:18,200 --> 01:00:21,600 Speaker 1: an aggression on the streets now. There's a sense of lawlessness. 1006 01:00:21,600 --> 01:00:24,120 Speaker 1: And I know it because I lived it before in 1007 01:00:24,160 --> 01:00:26,600 Speaker 1: the nineties when I was growing up here, and it's 1008 01:00:26,640 --> 01:00:28,760 Speaker 1: coming back. And the problem is that, you know, de 1009 01:00:28,800 --> 01:00:31,120 Speaker 1: Blasio is going to point to, oh, the crime rate 1010 01:00:31,160 --> 01:00:33,720 Speaker 1: is still super low. It's still at least a homicide 1011 01:00:33,760 --> 01:00:35,880 Speaker 1: rate is very low. I do not believe that the 1012 01:00:35,960 --> 01:00:40,840 Speaker 1: overall crime rate, if you include nuisance crimes and quality 1013 01:00:40,840 --> 01:00:42,960 Speaker 1: of life crimes, I do not believe it that continues 1014 01:00:43,000 --> 01:00:45,240 Speaker 1: to go down. I think that that is almost certainly, 1015 01:00:45,400 --> 01:00:47,640 Speaker 1: but that's very hard to gauge. A lot of that 1016 01:00:47,760 --> 01:00:50,720 Speaker 1: is anecdotal. That's why someone like the Blasio will have 1017 01:00:50,800 --> 01:00:52,920 Speaker 1: his number crunchers play games with that to make it 1018 01:00:52,920 --> 01:00:55,800 Speaker 1: seem like it's not that bad. But this is one 1019 01:00:55,800 --> 01:00:58,320 Speaker 1: of the issues we have is that we can tell 1020 01:00:58,400 --> 01:01:00,360 Speaker 1: that we can tell someone what they're doing is wrong. 1021 01:01:00,440 --> 01:01:02,200 Speaker 1: You can tell a Democrat, you can tell a lib 1022 01:01:02,520 --> 01:01:05,040 Speaker 1: you know, you're ruining the school system, you're ruining the city, 1023 01:01:05,080 --> 01:01:09,520 Speaker 1: you're ruining the economy, whatever it may be, and they will, 1024 01:01:09,960 --> 01:01:15,360 Speaker 1: over the course of the stages of that ruination find scapegoats, 1025 01:01:15,400 --> 01:01:18,840 Speaker 1: find some way to blame somebody else and avoid accountability 1026 01:01:18,880 --> 01:01:21,560 Speaker 1: for it. I mean, I can tell you that it 1027 01:01:21,600 --> 01:01:23,680 Speaker 1: will take a while, but New York does feel like 1028 01:01:23,720 --> 01:01:28,000 Speaker 1: it is It is very much on a downward slope 1029 01:01:28,800 --> 01:01:34,840 Speaker 1: in terms of quality of life, cleanliness, crime, and de Blasio. 1030 01:01:35,000 --> 01:01:37,600 Speaker 1: By the time we figure out that there has been 1031 01:01:37,600 --> 01:01:41,520 Speaker 1: this shift and crime in a major city is also 1032 01:01:41,720 --> 01:01:45,360 Speaker 1: is a very complicated sociological phenomenon. It's there's a lot 1033 01:01:45,400 --> 01:01:47,160 Speaker 1: that goes into it. By the time we figure out 1034 01:01:47,200 --> 01:01:49,120 Speaker 1: that New York has started to really have in the 1035 01:01:49,120 --> 01:01:53,600 Speaker 1: wrong direction, to Blasio will pretty much be gone, and 1036 01:01:53,640 --> 01:01:55,480 Speaker 1: he'll be saying that, oh, look at how good, look 1037 01:01:55,480 --> 01:01:57,320 Speaker 1: at how good it was when I was in office. 1038 01:01:57,400 --> 01:02:01,200 Speaker 1: This next person ruined it. And that's that's how you 1039 01:02:01,280 --> 01:02:04,360 Speaker 1: never managed to get anyone to admit that they were wrong. 1040 01:02:05,080 --> 01:02:06,960 Speaker 1: There's always a way to blame somebody else, you know. 1041 01:02:07,040 --> 01:02:10,200 Speaker 1: Libs can and it takes time to ruin something. Libs 1042 01:02:10,800 --> 01:02:17,600 Speaker 1: have a long fuse sometimes on destroying a city, destroying 1043 01:02:17,800 --> 01:02:21,720 Speaker 1: a neighborhood, whatever it may be. And you know Deblasio 1044 01:02:21,800 --> 01:02:23,480 Speaker 1: is doing it here to my hometown. I'm telling you 1045 01:02:23,480 --> 01:02:26,000 Speaker 1: I can see it. The President actually sent out a 1046 01:02:26,000 --> 01:02:29,080 Speaker 1: tweet he made fun of me for talking about climate 1047 01:02:29,160 --> 01:02:31,600 Speaker 1: change in the middle of a blizzard, and he called 1048 01:02:31,640 --> 01:02:37,240 Speaker 1: me snow woman. So I wrote back, Hey, Donald Trump, 1049 01:02:37,280 --> 01:02:39,960 Speaker 1: the science is on my side and I'd like to 1050 01:02:40,000 --> 01:02:43,960 Speaker 1: see how your hair would fare in a blizzard. So 1051 01:02:44,080 --> 01:02:49,600 Speaker 1: I wrote back, Donald Trump, the science is on my side, 1052 01:02:50,280 --> 01:02:53,480 Speaker 1: and I'd like to see how your hair would fare 1053 01:02:53,680 --> 01:02:58,000 Speaker 1: in a blizzard. Sometimes, if you haven't noticed, you use 1054 01:02:58,040 --> 01:03:01,360 Speaker 1: a little humor, like when he called me snow woman 1055 01:03:01,480 --> 01:03:04,560 Speaker 1: at my announcement in the middle of that thing, I 1056 01:03:04,600 --> 01:03:08,120 Speaker 1: wrote back on Twitter, I'd like to see how your 1057 01:03:08,200 --> 01:03:12,480 Speaker 1: hair would fare in a blizzard. So I wrote back, Hey, 1058 01:03:12,960 --> 01:03:17,400 Speaker 1: Donald Trump. So I wrote back, Hey Donald Trump. So 1059 01:03:17,440 --> 01:03:22,040 Speaker 1: I wrote back, I wrote back, I tweeted back. So 1060 01:03:22,920 --> 01:03:25,439 Speaker 1: I've got a joke for you. It's Amy Klobaschar here. 1061 01:03:26,800 --> 01:03:31,280 Speaker 1: So I wrote to Donald Trump, I'd like to see 1062 01:03:31,320 --> 01:03:39,600 Speaker 1: how your hair would fare in a oh Man Amy klobshard, 1063 01:03:39,760 --> 01:03:44,520 Speaker 1: Democrat candidate. She has a joke. She's got one joke apparently, 1064 01:03:44,560 --> 01:03:51,160 Speaker 1: and she likes to tell that joke a lot. Now, 1065 01:03:51,560 --> 01:03:55,520 Speaker 1: there's a a bigger message that I have for you 1066 01:03:55,560 --> 01:03:58,920 Speaker 1: than just making fun of Amy Klobaschar who does manage 1067 01:03:58,920 --> 01:04:02,920 Speaker 1: to make Lary Clinton see more personally appealing by comparison? 1068 01:04:03,800 --> 01:04:07,760 Speaker 1: You know, Amy Klobisher is right in that same that 1069 01:04:07,920 --> 01:04:10,480 Speaker 1: same level of wow. I can't believe people vote for 1070 01:04:10,520 --> 01:04:14,080 Speaker 1: this person and want to spend time around her as 1071 01:04:14,080 --> 01:04:20,160 Speaker 1: a politician, or believe that she understands their needs and 1072 01:04:20,200 --> 01:04:21,880 Speaker 1: connects with them on a personal level. I don't know, 1073 01:04:21,960 --> 01:04:25,000 Speaker 1: just connect with anybody in a personal level. But this 1074 01:04:25,160 --> 01:04:28,800 Speaker 1: is a and it's it's a continuing theme here on 1075 01:04:28,840 --> 01:04:34,919 Speaker 1: the show that our sense of the elites is eroding, 1076 01:04:35,560 --> 01:04:40,600 Speaker 1: not because of an undo cynicism and not because we 1077 01:04:40,960 --> 01:04:44,880 Speaker 1: are failing to cherish our most important institutions, and all 1078 01:04:44,920 --> 01:04:48,080 Speaker 1: this other other stuff you hear from the elites and 1079 01:04:48,120 --> 01:04:49,960 Speaker 1: their lackeys nombre. There are a lot of people that 1080 01:04:50,080 --> 01:04:52,720 Speaker 1: want to do the bidding of the elites in our society. 1081 01:04:52,800 --> 01:04:55,640 Speaker 1: Never want to speak the truth to you because they 1082 01:04:55,680 --> 01:04:57,720 Speaker 1: want to feed from the trough too. They want to 1083 01:04:57,720 --> 01:05:03,520 Speaker 1: get in on the action. But the familiarity that we have, 1084 01:05:03,520 --> 01:05:06,800 Speaker 1: people say that familiarity breeds contempt of the familiarity we 1085 01:05:06,880 --> 01:05:11,880 Speaker 1: have with our political ruling class, because of social media, 1086 01:05:11,960 --> 01:05:14,280 Speaker 1: because of the twenty four hour news cycle we have, 1087 01:05:14,360 --> 01:05:18,400 Speaker 1: and just the general connectedness that we all have. You know, 1088 01:05:18,520 --> 01:05:21,320 Speaker 1: I can do a search on Amy Klobischer and see 1089 01:05:21,320 --> 01:05:23,080 Speaker 1: a lot of things that she said, and read a 1090 01:05:23,080 --> 01:05:27,000 Speaker 1: lot of things that either she's written or things that 1091 01:05:27,000 --> 01:05:29,160 Speaker 1: have been said about her. I can do that very 1092 01:05:29,240 --> 01:05:34,200 Speaker 1: easily and then find myself drawing a conclusion about her competence, 1093 01:05:34,200 --> 01:05:37,280 Speaker 1: her ability. This is a new thing in human history. 1094 01:05:37,560 --> 01:05:41,800 Speaker 1: You've got to remember maybe back in the day when 1095 01:05:41,840 --> 01:05:45,040 Speaker 1: somebody was running for running for president. Let's just even 1096 01:05:45,040 --> 01:05:46,560 Speaker 1: say in this country, I mean, if you're running for 1097 01:05:46,600 --> 01:05:54,320 Speaker 1: president in this country in the eighteen twenties, no one 1098 01:05:54,400 --> 01:05:56,680 Speaker 1: really is going to see you who's casting votes. I mean, 1099 01:05:56,680 --> 01:05:59,160 Speaker 1: maybe they'll see you at one speech. They don't know 1100 01:05:59,200 --> 01:06:01,440 Speaker 1: what you're like in person. They don't know what you 1101 01:06:01,480 --> 01:06:05,880 Speaker 1: really think. And they can't pull up immediately at the 1102 01:06:06,240 --> 01:06:10,560 Speaker 1: touch of a button every bill you've ever supported as 1103 01:06:10,560 --> 01:06:12,600 Speaker 1: a let's say, a state centator. They can't bring up 1104 01:06:12,640 --> 01:06:17,000 Speaker 1: every gaff you've ever made. What we're dealing with as 1105 01:06:17,000 --> 01:06:23,560 Speaker 1: a society is far more information, far more information about candidates, 1106 01:06:23,720 --> 01:06:27,400 Speaker 1: about the people that are in charge, and as we 1107 01:06:27,520 --> 01:06:30,439 Speaker 1: learn more about them, we're less likely to defer to them. 1108 01:06:31,400 --> 01:06:35,000 Speaker 1: In essence, someone like Amy Klobashar, Why the heck am 1109 01:06:35,000 --> 01:06:37,560 Speaker 1: I going to listen to her about anything? What does 1110 01:06:37,760 --> 01:06:41,560 Speaker 1: Amy Klobashar no that I don't know? You know, what 1111 01:06:41,680 --> 01:06:47,000 Speaker 1: is she really able to to bring to this? I 1112 01:06:47,000 --> 01:06:49,360 Speaker 1: don't know. I think that's a very fair question. And 1113 01:06:49,360 --> 01:06:52,400 Speaker 1: it's also true about Joe Biden, whom I've got to 1114 01:06:52,480 --> 01:06:54,440 Speaker 1: tell you, and I've been speaking to some sources about 1115 01:06:54,440 --> 01:06:56,280 Speaker 1: this recently who have been in the political game a 1116 01:06:56,400 --> 01:06:59,320 Speaker 1: very long time and don't like to get down into 1117 01:06:59,360 --> 01:07:03,360 Speaker 1: the into the mud. But what everyone keeps saying the 1118 01:07:03,400 --> 01:07:05,520 Speaker 1: same thing about Biden, who knows him who's been around 1119 01:07:05,640 --> 01:07:10,200 Speaker 1: him that he doesn't have it in him. He's really 1120 01:07:10,280 --> 01:07:13,200 Speaker 1: he's really pretty worn out. And then he's dumb. This 1121 01:07:13,280 --> 01:07:15,480 Speaker 1: is the thing you hear from people, and I know 1122 01:07:15,560 --> 01:07:18,840 Speaker 1: that the left, but the left says it's about every Republican. 1123 01:07:18,920 --> 01:07:21,640 Speaker 1: They say Bush is dumb, Trump is dumb, Romney's dumb. 1124 01:07:21,640 --> 01:07:23,360 Speaker 1: You know, everybody who's a probably Goann is dumb. So 1125 01:07:23,400 --> 01:07:25,960 Speaker 1: they're they over ease it, just like they say everybody's 1126 01:07:25,960 --> 01:07:29,120 Speaker 1: a racist on the right, we're all racists, and everybody 1127 01:07:29,160 --> 01:07:30,720 Speaker 1: who's on the right is dumb. This is this is 1128 01:07:30,720 --> 01:07:36,720 Speaker 1: the left wing, the laziness of left wing attacks against conservatives. 1129 01:07:37,440 --> 01:07:39,800 Speaker 1: But when you hear it about Biden, people seem to 1130 01:07:39,840 --> 01:07:41,680 Speaker 1: really believe it. They really just think that he's kind 1131 01:07:41,680 --> 01:07:44,680 Speaker 1: of he's kind of a dumbass. This is what you'll hear. 1132 01:07:44,920 --> 01:07:48,440 Speaker 1: People will say that very and very confidently, like they 1133 01:07:48,520 --> 01:07:51,080 Speaker 1: don't they're not making a difficult decision. They're not making 1134 01:07:51,120 --> 01:07:54,600 Speaker 1: a difficult choice with all of this. So Amy Klobasher, 1135 01:07:54,640 --> 01:07:57,080 Speaker 1: obviously he does not have a future as a stand 1136 01:07:57,120 --> 01:08:03,440 Speaker 1: up comedian. And I really leave that Joe Biden doesn't 1137 01:08:03,520 --> 01:08:05,400 Speaker 1: have a future as president United States because I think 1138 01:08:05,400 --> 01:08:06,680 Speaker 1: that he's not going to win the primary. If he 1139 01:08:06,680 --> 01:08:09,240 Speaker 1: does win the primary, I think he has almost no 1140 01:08:09,360 --> 01:08:13,360 Speaker 1: chance of winning the general election. Even the polls tell 1141 01:08:13,400 --> 01:08:15,360 Speaker 1: me I'm wrong. I'm aware of that. I'm aware that 1142 01:08:16,200 --> 01:08:20,680 Speaker 1: on a polling level, it should be it shouldn't be 1143 01:08:20,840 --> 01:08:23,400 Speaker 1: a it shouldn't even be close. Right now, they're saying 1144 01:08:23,439 --> 01:08:26,400 Speaker 1: that Biden's way ahead of him. Oh, Doctor Mark Siegel 1145 01:08:26,479 --> 01:08:29,519 Speaker 1: over at the at Fox talked about some of the 1146 01:08:29,600 --> 01:08:33,080 Speaker 1: medical and look, I was telling you this the way 1147 01:08:33,080 --> 01:08:36,439 Speaker 1: that they've gone after Trump, with the with the removal 1148 01:08:36,520 --> 01:08:39,479 Speaker 1: from office under the twenty fifth Amendment. You know that 1149 01:08:39,640 --> 01:08:45,439 Speaker 1: they've made medical and age discussions completely fair game, which 1150 01:08:45,479 --> 01:08:47,200 Speaker 1: I think is now going to come back to bite 1151 01:08:47,200 --> 01:08:56,280 Speaker 1: them at some level because Biden is clearly worse for wear, 1152 01:08:56,360 --> 01:08:58,320 Speaker 1: and Biden is not doing well. And there was that 1153 01:08:59,400 --> 01:09:02,759 Speaker 1: moment where I filled with blood during the climate change, 1154 01:09:03,080 --> 01:09:05,760 Speaker 1: and you know, because we're also get human beings, like 1155 01:09:05,800 --> 01:09:08,560 Speaker 1: I want Biden to be in good health as a 1156 01:09:08,640 --> 01:09:10,880 Speaker 1: human being, I want him to be, Okay, I don't 1157 01:09:10,880 --> 01:09:14,080 Speaker 1: like seeing it an elderly gentleman, how as eye filled 1158 01:09:14,120 --> 01:09:17,200 Speaker 1: with blood, especially in a very crowded place where Everen's 1159 01:09:17,240 --> 01:09:22,200 Speaker 1: looking at him, it's it's unsettling. It's unsettling. But here's 1160 01:09:22,200 --> 01:09:27,000 Speaker 1: what doctor Mark Siegel over Fox has about Biden's overall health, which, 1161 01:09:27,000 --> 01:09:30,240 Speaker 1: as we know, is fair game to disgust. Biden did 1162 01:09:30,280 --> 01:09:32,960 Speaker 1: it blood in his eye? What might that have been? 1163 01:09:33,720 --> 01:09:37,000 Speaker 1: Now that's the more dramatic, and by the way, of 1164 01:09:37,040 --> 01:09:39,160 Speaker 1: course I haven't examined them. I'm not a physician, but 1165 01:09:39,240 --> 01:09:41,760 Speaker 1: that appears to me it would be something called a 1166 01:09:41,840 --> 01:09:45,240 Speaker 1: subcontract timbal hemorrhage, which sounds worse than it is. It's 1167 01:09:45,240 --> 01:09:47,840 Speaker 1: a blood vessel leaking, but just below the eye, and 1168 01:09:48,080 --> 01:09:51,320 Speaker 1: usually it's benign. It goes away on its own and 1169 01:09:51,360 --> 01:09:54,599 Speaker 1: it's nothing to worry about. He appeared confused. That's been 1170 01:09:54,640 --> 01:09:58,719 Speaker 1: happening with increasing amount where he forgot, seems to forget 1171 01:09:58,760 --> 01:10:02,000 Speaker 1: what state he's in, or the timeline of the park 1172 01:10:02,320 --> 01:10:05,680 Speaker 1: the Parkland School shooting. Things like that are really concerning 1173 01:10:05,680 --> 01:10:08,320 Speaker 1: to me. And again I don't know the answer to 1174 01:10:08,400 --> 01:10:10,639 Speaker 1: why that's happening, but I want to point something out. 1175 01:10:11,120 --> 01:10:15,840 Speaker 1: He had those aneurysms clipped surgically back in nineteen eighty eight. 1176 01:10:16,080 --> 01:10:18,920 Speaker 1: You know what happened In nineteen ninety we developed a 1177 01:10:18,920 --> 01:10:21,840 Speaker 1: new technique to do that where we went in through 1178 01:10:21,840 --> 01:10:26,840 Speaker 1: the artery itself, which was a miracle a change. So 1179 01:10:27,280 --> 01:10:29,640 Speaker 1: Biden's health is going to be a big discussion that 1180 01:10:29,800 --> 01:10:34,760 Speaker 1: they tried to hide the fact that Hillary, obviously it 1181 01:10:34,800 --> 01:10:36,760 Speaker 1: was a little shakier on the health front, and they 1182 01:10:36,800 --> 01:10:38,679 Speaker 1: wanted anyone to believe. But we don't have to worry 1183 01:10:38,680 --> 01:10:40,600 Speaker 1: about Hillary these days. She doesn't look like she's going 1184 01:10:40,680 --> 01:10:43,160 Speaker 1: to get in, at least not from what I can 1185 01:10:43,200 --> 01:10:46,519 Speaker 1: tell at this point. But Biden's health, Biden's age, You're 1186 01:10:46,520 --> 01:10:48,240 Speaker 1: going to hear a lot more discussion about this. I'm 1187 01:10:48,280 --> 01:10:54,879 Speaker 1: still still sticking to it with my claim that Biden's 1188 01:10:54,920 --> 01:10:57,360 Speaker 1: not going to be the nominee. I don't know. I've 1189 01:10:57,360 --> 01:10:59,200 Speaker 1: doubled down on it so much. I can't back off 1190 01:10:59,240 --> 01:11:00,760 Speaker 1: of it now. I just think it's going to happen. 1191 01:11:01,680 --> 01:11:04,559 Speaker 1: The bigger picture problem here is this is about an 1192 01:11:04,560 --> 01:11:07,960 Speaker 1: actual emergence situation. Most of the president slides are not 1193 01:11:08,040 --> 01:11:11,280 Speaker 1: about actual emergencies. This one is different. It's about a hurricane. 1194 01:11:11,280 --> 01:11:13,600 Speaker 1: He's been lying to the country about the hurricane with 1195 01:11:13,640 --> 01:11:17,160 Speaker 1: regards to Alabama ever since Sunday. Now he's watching TV coverage, 1196 01:11:17,200 --> 01:11:19,479 Speaker 1: he's getting mad at our fact checks, and he's lashing 1197 01:11:19,479 --> 01:11:21,519 Speaker 1: out again and again and again. It's a real sign 1198 01:11:21,520 --> 01:11:23,760 Speaker 1: of weakness, not strength. When he doubles down, it's a 1199 01:11:23,760 --> 01:11:25,560 Speaker 1: sign of weakness. And I think if we were to 1200 01:11:25,560 --> 01:11:26,960 Speaker 1: take him at his word for a moment, which is 1201 01:11:27,000 --> 01:11:29,080 Speaker 1: dangerous because he usually not telling the truth, If we 1202 01:11:29,080 --> 01:11:31,080 Speaker 1: were to take him at his word, if he actually 1203 01:11:31,120 --> 01:11:34,280 Speaker 1: believed Alabama was in danger, that shows a shocking lack 1204 01:11:34,320 --> 01:11:37,920 Speaker 1: of knowledge about geography, science and storms. Anybody who's watching 1205 01:11:37,960 --> 01:11:40,160 Speaker 1: cable news for a few minutes knows how hurricanes work. 1206 01:11:40,439 --> 01:11:42,200 Speaker 1: Y'all would know just by looking at a map that 1207 01:11:42,280 --> 01:11:44,840 Speaker 1: on Sunday morning, Alabama was going to be spared. This 1208 01:11:44,880 --> 01:11:47,000 Speaker 1: is gonna be a Florida in the Caroline storm. Everybody 1209 01:11:47,040 --> 01:11:51,240 Speaker 1: watching television knew that. See here's an example of where 1210 01:11:51,240 --> 01:11:55,640 Speaker 1: the media thinks that they are being the guardians of 1211 01:11:55,680 --> 01:11:59,960 Speaker 1: our republic and they're really just being an annoying hall monitor. 1212 01:12:01,920 --> 01:12:06,120 Speaker 1: There's this fixation on whether or not Trump said that 1213 01:12:06,760 --> 01:12:10,240 Speaker 1: Hurricane Dorian was going to be a threat to or 1214 01:12:10,320 --> 01:12:13,680 Speaker 1: rather when Trump said it would be a threat to Alabama. 1215 01:12:13,800 --> 01:12:16,880 Speaker 1: They keep going back and forth on this one, and 1216 01:12:17,000 --> 01:12:20,479 Speaker 1: it's a reminder that, you know, look, Trump can be 1217 01:12:20,560 --> 01:12:24,840 Speaker 1: a little bit a little bit thin skinned or or 1218 01:12:25,080 --> 01:12:27,160 Speaker 1: decides that he's going to fight. He fights on things 1219 01:12:27,200 --> 01:12:29,120 Speaker 1: where he doesn't have to do sometimes, and maybe it's 1220 01:12:29,160 --> 01:12:32,400 Speaker 1: just because he's always in fight mode with the media. 1221 01:12:32,400 --> 01:12:35,720 Speaker 1: I can understand that, but they love to get into this, 1222 01:12:35,760 --> 01:12:41,120 Speaker 1: and I would note that turns out there are there's 1223 01:12:41,120 --> 01:12:45,880 Speaker 1: some reporting from CNA itself that mentioned we was played 1224 01:12:45,880 --> 01:12:48,400 Speaker 1: for you then mentioned the state of Alabama. But there 1225 01:12:48,400 --> 01:12:50,479 Speaker 1: are many states that are under threat right now Derry 1226 01:12:51,160 --> 01:12:54,800 Speaker 1: at least six from the Carolina's right through Georgia coastline 1227 01:12:54,840 --> 01:12:58,439 Speaker 1: into Florida certainly, and then also even into the Gulf 1228 01:12:58,479 --> 01:13:01,680 Speaker 1: of Mexico, Louisiana, Alabama, Mississippi. You need to be on 1229 01:13:01,720 --> 01:13:06,400 Speaker 1: the lookout. Now, that's alb You know he mentioned Alabama. 1230 01:13:06,520 --> 01:13:08,639 Speaker 1: You know the President said that he thought Alabama wasn't 1231 01:13:08,720 --> 01:13:11,400 Speaker 1: a threat. They're saying that it never was. The President's lying. 1232 01:13:12,000 --> 01:13:15,160 Speaker 1: I don't really other than just to stick a thumb 1233 01:13:15,200 --> 01:13:17,920 Speaker 1: in the President's eye, and he won't let them do that, 1234 01:13:18,000 --> 01:13:20,320 Speaker 1: so he'll keep fighting and doubling down. This is where 1235 01:13:20,400 --> 01:13:24,680 Speaker 1: the media just lacks judgment, lacks context. This is not 1236 01:13:24,760 --> 01:13:27,400 Speaker 1: an important issue whether the president said that he thought 1237 01:13:27,439 --> 01:13:30,679 Speaker 1: a storm is threatening Alabama or not isn't an important issue, 1238 01:13:30,720 --> 01:13:32,680 Speaker 1: but they make it a much more important issue. They 1239 01:13:32,680 --> 01:13:34,200 Speaker 1: try to make it a much more important issue, and 1240 01:13:34,240 --> 01:13:37,760 Speaker 1: they say, oh, well, the president's lying again. I ask 1241 01:13:38,800 --> 01:13:42,760 Speaker 1: what's more important, what's more important for the public to understand, 1242 01:13:42,800 --> 01:13:48,320 Speaker 1: to debate, to discuss that the president may have said 1243 01:13:48,360 --> 01:13:54,880 Speaker 1: that Alabama was under some kind of threat, or that 1244 01:13:55,080 --> 01:13:59,200 Speaker 1: say mayor Pete Buddha Judge is running around telling people 1245 01:13:59,200 --> 01:14:04,799 Speaker 1: as a presidential antidate, telling people that climate change threatens 1246 01:14:05,560 --> 01:14:09,639 Speaker 1: hundreds of millions of lives. Okay, so the climate crisis 1247 01:14:09,760 --> 01:14:11,759 Speaker 1: is that the very first thing if you were elected 1248 01:14:11,800 --> 01:14:13,679 Speaker 1: president that you would tackle or are there other things 1249 01:14:13,680 --> 01:14:15,559 Speaker 1: on day one that you would do first? It needs 1250 01:14:15,560 --> 01:14:18,799 Speaker 1: immediate attention on day one because this is a threat 1251 01:14:18,840 --> 01:14:22,800 Speaker 1: to our entire way of life. Hundreds of millions of 1252 01:14:22,920 --> 01:14:25,680 Speaker 1: lives are on the line. I know, usually the way 1253 01:14:25,680 --> 01:14:28,040 Speaker 1: we talk about it is save the planet. I'm interested 1254 01:14:28,080 --> 01:14:31,360 Speaker 1: in saving lives, and there are lives in danger. Every 1255 01:14:31,400 --> 01:14:34,479 Speaker 1: time we see more frequent and more severe storms, when 1256 01:14:34,479 --> 01:14:36,920 Speaker 1: we're looking at droughts, what's going to happen to food supply? 1257 01:14:37,320 --> 01:14:39,680 Speaker 1: And this is upon us. This is no longer some 1258 01:14:40,160 --> 01:14:43,800 Speaker 1: distant theoretical thing. This is no longer just happening on 1259 01:14:43,840 --> 01:14:46,320 Speaker 1: the North or South Pole. This is happening to our 1260 01:14:46,360 --> 01:14:49,240 Speaker 1: country right now. It's getting worse, and we've got to 1261 01:14:49,280 --> 01:14:55,040 Speaker 1: act completely irrational. It's completely irrational. You want to talk 1262 01:14:55,080 --> 01:14:56,760 Speaker 1: about lives. I mean, this is just all this is 1263 01:14:56,800 --> 01:14:59,200 Speaker 1: all a lie, the whole climate change Oh my gosh, 1264 01:14:59,360 --> 01:15:01,200 Speaker 1: hundreds of mill millions of lives on the line. It's 1265 01:15:01,240 --> 01:15:03,680 Speaker 1: it's an enormous lie, and a very damaging one. Is 1266 01:15:03,680 --> 01:15:08,200 Speaker 1: that trying to discuss with you. Yesterday people like Bertie 1267 01:15:08,200 --> 01:15:11,920 Speaker 1: Sanders running around saying that they think abortion in the 1268 01:15:12,160 --> 01:15:14,919 Speaker 1: developing world is something that we should be promoting because 1269 01:15:15,760 --> 01:15:18,840 Speaker 1: we need to control global population. We absolutely do not 1270 01:15:19,800 --> 01:15:23,559 Speaker 1: need to control global population through abortion. I mean, it's immoral, 1271 01:15:23,600 --> 01:15:29,599 Speaker 1: but even beyond the immorality of it, there's just no 1272 01:15:29,680 --> 01:15:33,960 Speaker 1: reason to do it. It doesn't make any sense. It's 1273 01:15:33,960 --> 01:15:39,240 Speaker 1: a fake problem. The problem of global global overpopulation isn't 1274 01:15:39,240 --> 01:15:41,839 Speaker 1: a problem in the first place. The problem of climate 1275 01:15:41,920 --> 01:15:46,840 Speaker 1: change catastrophe isn't a problem in the first place. But 1276 01:15:46,880 --> 01:15:50,800 Speaker 1: they'll let mayor Pete say that without challenging him. I 1277 01:15:50,800 --> 01:15:53,639 Speaker 1: suppose because every journalist believes this too. Journalists believe whatever 1278 01:15:53,680 --> 01:15:57,280 Speaker 1: they think will make them sound smart. They're generally journalists 1279 01:15:57,280 --> 01:16:02,360 Speaker 1: are generally lacking in principle and are much more concerned 1280 01:16:02,760 --> 01:16:06,480 Speaker 1: with perception. Perception is what drives most of the media coveragency. 1281 01:16:06,880 --> 01:16:11,439 Speaker 1: Most journalists are obsessed with how they will be viewed 1282 01:16:11,640 --> 01:16:14,439 Speaker 1: for an idea, how they'll be viewed on a certain issue. 1283 01:16:15,720 --> 01:16:19,040 Speaker 1: That's the reality of it, and that's what you see 1284 01:16:19,280 --> 01:16:22,759 Speaker 1: going on on all these networks and all these major places. 1285 01:16:23,040 --> 01:16:28,200 Speaker 1: But to drill down into Trump on Alabama, to me 1286 01:16:28,400 --> 01:16:33,200 Speaker 1: just seems like another instance of they would rather talk 1287 01:16:33,240 --> 01:16:36,960 Speaker 1: about whether Trump told the fib or was wrong on 1288 01:16:37,000 --> 01:16:42,080 Speaker 1: something that is entirely inconsequential in the grand scheme of things, 1289 01:16:42,840 --> 01:16:49,240 Speaker 1: then focus on the enormously consequential and unfortunately very damaging 1290 01:16:49,360 --> 01:16:54,240 Speaker 1: lies about things like climate change. I've never been able 1291 01:16:54,280 --> 01:16:56,679 Speaker 1: to do a show like the one we did yesterday 1292 01:16:56,960 --> 01:17:02,040 Speaker 1: where we were running out of time to go through 1293 01:17:02,200 --> 01:17:03,960 Speaker 1: all of it, because of course they did this seven 1294 01:17:04,000 --> 01:17:08,080 Speaker 1: hour long which that's crazy that they really think we 1295 01:17:08,120 --> 01:17:09,920 Speaker 1: need to hear from all these different democrats. They all 1296 01:17:09,960 --> 01:17:12,120 Speaker 1: believe the same thing. They they're all reading from the 1297 01:17:12,160 --> 01:17:15,520 Speaker 1: same sheet of music. They're all a bunch of wackos, 1298 01:17:16,439 --> 01:17:18,920 Speaker 1: and they this is just where they are on this. 1299 01:17:20,280 --> 01:17:23,800 Speaker 1: They're all gonna, in one way or another, support a 1300 01:17:23,920 --> 01:17:27,240 Speaker 1: government takeover of the economy under the rubric of Green 1301 01:17:27,280 --> 01:17:30,880 Speaker 1: New Deal energy, you know, green energy, renewables, climate change, 1302 01:17:31,760 --> 01:17:33,600 Speaker 1: all the same thing. It's it's not like one of 1303 01:17:33,600 --> 01:17:36,240 Speaker 1: them has a really novel idea for her to deal 1304 01:17:36,240 --> 01:17:38,080 Speaker 1: with this. I mean, Andrew Yang, I'm sure has some 1305 01:17:38,120 --> 01:17:42,679 Speaker 1: weird ideas for it. But you know, Yang Yang's worn 1306 01:17:42,760 --> 01:17:45,000 Speaker 1: pretty thin on me. I'll be honest with you, I'm 1307 01:17:45,040 --> 01:17:48,680 Speaker 1: not really not really feeling like I need to hear 1308 01:17:48,760 --> 01:17:51,400 Speaker 1: much more from Andrew Yang than anything. He does have ideas, 1309 01:17:51,400 --> 01:17:56,360 Speaker 1: they're just not very good ideas. There was no pushback 1310 01:17:56,400 --> 01:17:59,599 Speaker 1: at all from anyone in the media about this climate 1311 01:17:59,680 --> 01:18:04,519 Speaker 1: change nonsense. I should say, no one at CNN certainly. Well, 1312 01:18:04,520 --> 01:18:08,000 Speaker 1: maybe that shouldn't be surprising by the way. I think 1313 01:18:08,000 --> 01:18:10,080 Speaker 1: I've told some of you this before, I believe, well, 1314 01:18:10,080 --> 01:18:11,320 Speaker 1: I guess I've told all of you if I said 1315 01:18:11,320 --> 01:18:15,759 Speaker 1: it on air. But I walked away from CNN in 1316 01:18:16,320 --> 01:18:19,599 Speaker 1: at the end of twenty sixteen. They requested that I stay, 1317 01:18:19,640 --> 01:18:22,519 Speaker 1: and I said I'm going, which for somebody who at 1318 01:18:22,520 --> 01:18:24,559 Speaker 1: the time really didn't even have. It was before I 1319 01:18:24,600 --> 01:18:27,599 Speaker 1: was hired here to do syndicated radio. I didn't really 1320 01:18:27,640 --> 01:18:30,400 Speaker 1: have a job. I just didn't want to be working 1321 01:18:30,479 --> 01:18:36,680 Speaker 1: at CNN in its era of Trump hatred because I 1322 01:18:36,760 --> 01:18:39,200 Speaker 1: was very aware that there was a it's a personal vendetta. 1323 01:18:39,280 --> 01:18:43,080 Speaker 1: What you see is a news network has been commandeered 1324 01:18:43,600 --> 01:18:47,400 Speaker 1: by Jeff Zucker in the service of a personal grudge. 1325 01:18:48,120 --> 01:18:50,720 Speaker 1: He has just decided that that CNN is going to 1326 01:18:50,800 --> 01:18:56,519 Speaker 1: be a weapon of propaganda against Donald Trump. That's what's 1327 01:18:56,560 --> 01:19:00,599 Speaker 1: going to happen. That's his decision, that's his choice, and 1328 01:19:01,200 --> 01:19:04,120 Speaker 1: I didn't want to be around that. Knew what that 1329 01:19:04,120 --> 01:19:06,759 Speaker 1: would mean for me as a as a CNN contributor 1330 01:19:06,800 --> 01:19:09,240 Speaker 1: at the time, and that's why I'm not at all 1331 01:19:09,280 --> 01:19:12,240 Speaker 1: surprised to see what has just happened here to someone 1332 01:19:12,240 --> 01:19:15,599 Speaker 1: that I've I've done some work with in the past, 1333 01:19:17,640 --> 01:19:22,720 Speaker 1: which is a young woman named Eliana Johnson. She is 1334 01:19:22,760 --> 01:19:25,280 Speaker 1: going to be the editor in chief of the Washington 1335 01:19:26,320 --> 01:19:29,599 Speaker 1: Free Beacon and has come out and just said, look, 1336 01:19:30,600 --> 01:19:35,040 Speaker 1: they didn't renew her. They didn't renew her at CNN 1337 01:19:35,920 --> 01:19:38,439 Speaker 1: to be a contributor. And it's very clear to anybody 1338 01:19:38,439 --> 01:19:40,439 Speaker 1: being attention to why that is because she's going to 1339 01:19:40,479 --> 01:19:43,040 Speaker 1: work for the Free Beacon, which is considered a conservative publication. 1340 01:19:43,120 --> 01:19:46,880 Speaker 1: She had been a white house correspondent at Politico. This 1341 01:19:47,000 --> 01:19:50,559 Speaker 1: is a perfect example of the way the media landscape 1342 01:19:50,560 --> 01:19:53,400 Speaker 1: works right now. You can work at a liberal organization 1343 01:19:53,920 --> 01:19:56,960 Speaker 1: as long as you suppress your conservatism and nobody really knows. 1344 01:19:57,760 --> 01:19:59,479 Speaker 1: But the moment that it's clear you're going to be 1345 01:19:59,560 --> 01:20:02,479 Speaker 1: a concern pervative, you get put into a different pile. 1346 01:20:03,280 --> 01:20:05,639 Speaker 1: You get treated very differently. I mean I was treated 1347 01:20:05,720 --> 01:20:09,080 Speaker 1: very differently once I started openly supporting Trump on air. 1348 01:20:09,160 --> 01:20:11,200 Speaker 1: I wasn't just the guy who knew a bunch about 1349 01:20:11,280 --> 01:20:14,040 Speaker 1: terrorism and could do that analysis. I was part of 1350 01:20:14,040 --> 01:20:19,479 Speaker 1: the problem. So Zucker's war against all things Trump had 1351 01:20:19,479 --> 01:20:22,640 Speaker 1: had many, many casualties in a sense. And I'm just 1352 01:20:22,800 --> 01:20:26,920 Speaker 1: sorry to see Ellianna Johnson, I think feels pretty snubbed 1353 01:20:26,920 --> 01:20:31,439 Speaker 1: by CNN not renewing her after letting her when she 1354 01:20:31,439 --> 01:20:33,840 Speaker 1: was a white House correspondent for Politico. But this is 1355 01:20:33,880 --> 01:20:35,760 Speaker 1: the way it is. This is the way it is 1356 01:20:35,840 --> 01:20:38,160 Speaker 1: if you're if you come out as a conservative, if 1357 01:20:38,160 --> 01:20:41,320 Speaker 1: you come out as a conservative in this environment, you 1358 01:20:41,920 --> 01:20:45,360 Speaker 1: have real career risk. There are people who will not 1359 01:20:45,439 --> 01:20:48,200 Speaker 1: hire you. There are people who do not want to 1360 01:20:48,360 --> 01:20:51,680 Speaker 1: be associated with your career, and unfortunately are people in 1361 01:20:51,720 --> 01:20:54,080 Speaker 1: positions of power, and they're the kind of people that 1362 01:20:54,360 --> 01:20:56,919 Speaker 1: hire the Brian Stelters of the world to talk nonsense 1363 01:20:56,960 --> 01:21:01,040 Speaker 1: about what Trump said about Alabama. I always thought that 1364 01:21:01,200 --> 01:21:06,840 Speaker 1: vaping was the much safer alternative to cigarettes. And I'm 1365 01:21:06,880 --> 01:21:10,160 Speaker 1: not somebody who's ever smoke. In fact, I can tell 1366 01:21:10,160 --> 01:21:15,880 Speaker 1: you I have never smoked a cigarette. I've never smoked one. 1367 01:21:15,880 --> 01:21:18,160 Speaker 1: I just didn't wasn't my thing, didn't appealed to me. 1368 01:21:19,160 --> 01:21:22,080 Speaker 1: I tried a cigar once or twice, and I've kind 1369 01:21:22,120 --> 01:21:25,439 Speaker 1: of say cigars, I don't know, I don't, I don't know. 1370 01:21:25,439 --> 01:21:27,519 Speaker 1: It's not my thing. It's not really my thing. I 1371 01:21:28,040 --> 01:21:32,759 Speaker 1: like some delicious booze and wine, but cigar I haven't. 1372 01:21:32,800 --> 01:21:36,280 Speaker 1: I never developed a taste for you, cigar smoker, Mark, No, 1373 01:21:36,720 --> 01:21:39,880 Speaker 1: I didn't think so. So the only thing I've smoked 1374 01:21:39,960 --> 01:21:43,439 Speaker 1: I shouldn't say on the radio. Well, I gave it 1375 01:21:43,520 --> 01:21:46,240 Speaker 1: up after nine to eleven. But that makes two of us. 1376 01:21:46,320 --> 01:21:49,040 Speaker 1: So I want to go into the CIA. So I said, 1377 01:21:49,080 --> 01:21:51,720 Speaker 1: no more of that, no more of that. You know, 1378 01:21:51,760 --> 01:21:56,280 Speaker 1: what is it? Uh? Whaco tobacco, right, what are they 1379 01:21:56,720 --> 01:22:01,240 Speaker 1: Mary Jane, the thank you? I'm trying to think of 1380 01:22:01,280 --> 01:22:03,240 Speaker 1: the cool what are the cool kids call it? I 1381 01:22:03,240 --> 01:22:06,400 Speaker 1: gotta remember these things. I can't always though, I'm not 1382 01:22:06,439 --> 01:22:09,959 Speaker 1: always certain of what the cool kids say. But vaping 1383 01:22:10,640 --> 01:22:15,200 Speaker 1: seemed like this really good alternative, right. Vaping seemed like 1384 01:22:15,280 --> 01:22:19,840 Speaker 1: something that you'd be able to replace smoking with. And 1385 01:22:19,960 --> 01:22:24,080 Speaker 1: it's water vapor, so it's far less harmful, it's far 1386 01:22:24,240 --> 01:22:29,360 Speaker 1: easier on the lungs. And it turns out there's still 1387 01:22:29,360 --> 01:22:32,800 Speaker 1: some problems with vaping other than the addiction of nicotine. Now, 1388 01:22:32,880 --> 01:22:35,160 Speaker 1: nicotine is the drug as we all know that's in cigarettes. 1389 01:22:35,160 --> 01:22:37,840 Speaker 1: It makes them so very very addictive. But all that 1390 01:22:37,880 --> 01:22:41,840 Speaker 1: other stuff, the tar and the different carcynogens in the 1391 01:22:41,880 --> 01:22:45,600 Speaker 1: tobacco smoke, that's what's really bad for you. That's the 1392 01:22:45,640 --> 01:22:48,920 Speaker 1: stuff that is such a clear link to on cancer, 1393 01:22:48,960 --> 01:22:53,000 Speaker 1: emphysym all the things that we've known for quite some time. Well, 1394 01:22:53,160 --> 01:22:55,920 Speaker 1: I'm seeing all these stories about of vaping is killing people. 1395 01:22:56,640 --> 01:22:58,640 Speaker 1: You saw this, This was the Daily Mail today. It's 1396 01:22:58,680 --> 01:23:01,800 Speaker 1: some other places too, that vaping has killed a third 1397 01:23:01,880 --> 01:23:04,599 Speaker 1: person and has left four hundred and fifty people sick. 1398 01:23:05,680 --> 01:23:09,040 Speaker 1: CDC Health officials warn the habit is behind a deadly 1399 01:23:09,120 --> 01:23:11,960 Speaker 1: new lung disease that has spread to thirty three states 1400 01:23:11,960 --> 01:23:17,120 Speaker 1: across the country. I just don't understand what is going 1401 01:23:17,200 --> 01:23:20,960 Speaker 1: on here. I don't understand what the situation is. Two 1402 01:23:21,040 --> 01:23:26,280 Speaker 1: hundred fifteen cases confirmed. FDA has warned that cannabis vaping 1403 01:23:26,280 --> 01:23:32,320 Speaker 1: related deaths may be caused by a vitamin E derived oil. 1404 01:23:33,320 --> 01:23:36,360 Speaker 1: It's unclear what's going on with any of this. He 1405 01:23:36,479 --> 01:23:39,880 Speaker 1: got vaping related lung illness now killed four people. They're 1406 01:23:39,880 --> 01:23:44,439 Speaker 1: saying many, but not all, the severe lung illnesses have 1407 01:23:44,479 --> 01:23:50,480 Speaker 1: involved THHC, the psychoactive ingredient in cannabis, as well as nicotine, 1408 01:23:51,320 --> 01:23:55,040 Speaker 1: and yeah, yeah, we got you gotta figure this out. 1409 01:23:55,040 --> 01:23:56,639 Speaker 1: I don't know what. I don't know what's going on here. 1410 01:23:56,680 --> 01:23:59,200 Speaker 1: I'm surprised. I remember there was a there was a 1411 01:23:59,240 --> 01:24:03,679 Speaker 1: brief period when people used to think that you could 1412 01:24:03,680 --> 01:24:06,920 Speaker 1: do that. They call it shisha in most places, smoking 1413 01:24:06,960 --> 01:24:11,960 Speaker 1: shisha or narghila. It's a Middle Eastern water pipe. And 1414 01:24:12,000 --> 01:24:13,960 Speaker 1: you know these places have you have you ever done 1415 01:24:13,960 --> 01:24:16,320 Speaker 1: this before where you go in and you hka lounge, 1416 01:24:16,479 --> 01:24:19,439 Speaker 1: who exactly? Hookah? That's yeah, that's what Okay, Well, people 1417 01:24:19,479 --> 01:24:22,240 Speaker 1: say smoking shisha or narghila I think is what they 1418 01:24:22,280 --> 01:24:26,320 Speaker 1: call it in either Lebanon or Egypt. But yeah, hohokah lounge, 1419 01:24:26,320 --> 01:24:28,479 Speaker 1: that's exactly right. Whok is the name of of the pipe, 1420 01:24:28,479 --> 01:24:31,759 Speaker 1: I think. And you know you see people doing this anything, 1421 01:24:31,840 --> 01:24:33,920 Speaker 1: you always know because you go past it and it's like, oh, 1422 01:24:33,960 --> 01:24:36,439 Speaker 1: it smells like pomegranted and like, oh it's you know, 1423 01:24:36,600 --> 01:24:39,320 Speaker 1: you have all these different flavors. It turns out that's 1424 01:24:39,360 --> 01:24:42,080 Speaker 1: really bad for you. That is not just because it 1425 01:24:42,160 --> 01:24:45,519 Speaker 1: smells fruity fresh doesn't mean that you don't have any 1426 01:24:45,560 --> 01:24:49,000 Speaker 1: any issues there. Um. But this is a this is 1427 01:24:49,000 --> 01:24:54,040 Speaker 1: a real surprise you have now people thinking that vaping 1428 01:24:54,200 --> 01:24:57,240 Speaker 1: is so much safer, no no problem at all, and 1429 01:24:57,320 --> 01:25:01,040 Speaker 1: it turns out that's not the case. U after doing 1430 01:25:01,040 --> 01:25:04,400 Speaker 1: a full X ray of his lungs this is talking about. 1431 01:25:04,439 --> 01:25:08,320 Speaker 1: This is from the Chicago Tribune. An eighteen year old 1432 01:25:09,479 --> 01:25:13,240 Speaker 1: in Illinois was hospitalized after developing what seemed like a 1433 01:25:13,400 --> 01:25:17,000 Speaker 1: flu and then nausea and vomiting, and then a scan 1434 01:25:17,080 --> 01:25:19,960 Speaker 1: of his stomach reveal just the very bottom of his lungs. 1435 01:25:20,040 --> 01:25:23,160 Speaker 1: Even from that small fraction of an image, doctors could 1436 01:25:23,160 --> 01:25:25,000 Speaker 1: tell something was off. This is all, according to The 1437 01:25:25,080 --> 01:25:28,479 Speaker 1: Daily Mail reporting on the Chicago Tribune. After doing a 1438 01:25:28,520 --> 01:25:30,519 Speaker 1: full X ray of his lungs, doctors told Adam his 1439 01:25:30,680 --> 01:25:33,280 Speaker 1: chest looked like that of a man in his seventies. 1440 01:25:34,080 --> 01:25:37,559 Speaker 1: He'd been vaping for about two years, starting with mint 1441 01:25:37,600 --> 01:25:42,120 Speaker 1: and mango nicotine e liquids, but eventually graduating the THHC 1442 01:25:42,479 --> 01:25:46,160 Speaker 1: dab sticks he bought off the street. Last week, the 1443 01:25:46,160 --> 01:25:50,880 Speaker 1: CDC warned Americans against these very bootlegged products. By the 1444 01:25:50,880 --> 01:25:52,960 Speaker 1: time of his lung X ray, Adam's lung function was 1445 01:25:53,000 --> 01:25:55,680 Speaker 1: so poor by then he had to be placed on oxygen. 1446 01:25:56,320 --> 01:26:00,000 Speaker 1: Doctor started him on a course of antibiotics and steroids. 1447 01:26:00,080 --> 01:26:03,320 Speaker 1: Is improving, but his lungs may not recover for weeks 1448 01:26:03,400 --> 01:26:08,000 Speaker 1: or even months. According to doctors. Newly dubbed a disease, 1449 01:26:08,200 --> 01:26:10,240 Speaker 1: these lung illnesses are too recent for anyone in the 1450 01:26:10,280 --> 01:26:14,080 Speaker 1: long term effects. What is this? I don't even know. 1451 01:26:14,560 --> 01:26:16,240 Speaker 1: I guess no one really knows what's going on. But 1452 01:26:16,320 --> 01:26:19,519 Speaker 1: it just goes to show you people think of lungs. 1453 01:26:19,760 --> 01:26:22,200 Speaker 1: I guess as because we've been smoking for such a 1454 01:26:22,280 --> 01:26:29,759 Speaker 1: long time. You know, your lung is very, very soft 1455 01:26:29,880 --> 01:26:34,760 Speaker 1: and important tissue, and to put stuff in there that 1456 01:26:34,800 --> 01:26:37,559 Speaker 1: shouldn't be in there. I think is just generally a 1457 01:26:37,640 --> 01:26:39,519 Speaker 1: very bad idea. I don't even want to think about 1458 01:26:39,520 --> 01:26:41,920 Speaker 1: how bad it is to be in some of these 1459 01:26:41,960 --> 01:26:44,000 Speaker 1: major cities that we're in. I'm sure it's terrible. I 1460 01:26:44,040 --> 01:26:45,840 Speaker 1: mean him here in New York City. It's not as 1461 01:26:45,840 --> 01:26:48,520 Speaker 1: bad as Beijing and Shanghai, it's some of these other places, 1462 01:26:48,560 --> 01:26:52,439 Speaker 1: but it's not good. It's not good for your lungs. Anyway. 1463 01:26:52,479 --> 01:26:54,760 Speaker 1: I thought that I thought that vaping might be the 1464 01:26:54,800 --> 01:26:58,639 Speaker 1: cure for cigarettes, And it looks like now vaping has 1465 01:26:58,680 --> 01:27:00,880 Speaker 1: its own, its own way. So you know, you just 1466 01:27:00,920 --> 01:27:04,280 Speaker 1: never know. Folks, science comes along. They like to pretend 1467 01:27:04,320 --> 01:27:07,439 Speaker 1: like science is always settled. But then I always I 1468 01:27:07,439 --> 01:27:10,120 Speaker 1: always tell people, you know, is butter good for you? 1469 01:27:10,840 --> 01:27:15,559 Speaker 1: So you drink whole milk or skim milk? Is meat 1470 01:27:16,280 --> 01:27:19,960 Speaker 1: good for you? Oh? Turns out I've got something for 1471 01:27:20,000 --> 01:27:22,640 Speaker 1: you on that. That's right. I'm not I'm not just 1472 01:27:22,720 --> 01:27:25,880 Speaker 1: throwing it out there that we could discuss whether or 1473 01:27:25,880 --> 01:27:28,920 Speaker 1: not meat is good for you. It turns out that 1474 01:27:28,960 --> 01:27:32,240 Speaker 1: there is a new study came from CNN. Research is 1475 01:27:32,280 --> 01:27:36,160 Speaker 1: found that vegetarians and vegans had a twenty percent higher 1476 01:27:36,200 --> 01:27:42,000 Speaker 1: risk of stroke than meat eaters, particularly hammorrhagic stroke. This 1477 01:27:42,080 --> 01:27:45,400 Speaker 1: translates to three more cases of stroke per thousand people 1478 01:27:45,479 --> 01:27:50,920 Speaker 1: over ten years. Now, that doesn't seem all that statistically 1479 01:27:50,920 --> 01:27:53,960 Speaker 1: significant really in the grand scheme of things, But I'm 1480 01:27:53,960 --> 01:27:57,000 Speaker 1: just gonna take that to be do you want to 1481 01:27:57,520 --> 01:27:59,719 Speaker 1: die from a brain hemorrhage or not. If the answer 1482 01:27:59,800 --> 01:28:05,040 Speaker 1: is no, eat red meat, there you go healthier for 1483 01:28:05,080 --> 01:28:09,439 Speaker 1: you than being a vegan. I'm sorry. Yeah, vegetarians and vegans. 1484 01:28:09,439 --> 01:28:12,360 Speaker 1: I don't know how vegans do it. That just strikes 1485 01:28:12,400 --> 01:28:15,559 Speaker 1: me as no matter what the health benefits are, it's 1486 01:28:15,560 --> 01:28:20,760 Speaker 1: just too it's just too austere, too difficult, too complicated. 1487 01:28:20,760 --> 01:28:24,080 Speaker 1: I couldn't imagine somebody saying, oh, I'm just gonna all 1488 01:28:24,120 --> 01:28:28,679 Speaker 1: of a sudden give up all dairy, all meat, all fish, everything, 1489 01:28:29,680 --> 01:28:35,679 Speaker 1: just living on plants basically plants and nuts and what else? 1490 01:28:35,720 --> 01:28:42,000 Speaker 1: What else? Did vegans eat soy stuff the beyond Burger? Yeah, no, 1491 01:28:42,080 --> 01:28:44,519 Speaker 1: I had it. It's okay, But people keep telling me 1492 01:28:44,560 --> 01:28:45,840 Speaker 1: that it's so healthy, and then I look at the 1493 01:28:45,960 --> 01:28:48,680 Speaker 1: ingredients and the ingredients it's like you're reading the back 1494 01:28:48,720 --> 01:28:51,040 Speaker 1: of a shampoo bottle with all the different chemicals and 1495 01:28:51,040 --> 01:28:54,400 Speaker 1: there's a lot of stuff and beyond meat burgers. You 1496 01:28:54,400 --> 01:28:56,120 Speaker 1: know it's in the burger that I had for lunch today, 1497 01:28:56,600 --> 01:29:05,280 Speaker 1: meat dead cow. That's how I like it, Team Buck, 1498 01:29:05,840 --> 01:29:17,439 Speaker 1: it's time for roll call. Is a rainy mess here 1499 01:29:17,439 --> 01:29:21,960 Speaker 1: in New York City. Fortunately I leave a pair of old, 1500 01:29:22,320 --> 01:29:24,519 Speaker 1: very comfy sweats here in the Freedom Hunt because I 1501 01:29:24,520 --> 01:29:30,800 Speaker 1: walked in sopping wet. No fun at all. I was 1502 01:29:30,800 --> 01:29:34,000 Speaker 1: wearing my duck boots though. It's never never a bad 1503 01:29:34,040 --> 01:29:36,439 Speaker 1: idea to throw those throw those bad boys on your 1504 01:29:36,439 --> 01:29:40,920 Speaker 1: feet when you're out there in the wetness. All right, 1505 01:29:41,680 --> 01:29:48,360 Speaker 1: Facebook dot Com, slash Bucks, Sexton. That's the way it's 1506 01:29:48,400 --> 01:29:51,880 Speaker 1: gonna go. That's the way it's gonna be. Let's see 1507 01:29:51,880 --> 01:29:55,160 Speaker 1: what we got here in the latest on our Facebook. 1508 01:29:55,200 --> 01:29:56,600 Speaker 1: And by the way, producer Mark, do we do we 1509 01:29:56,600 --> 01:29:59,000 Speaker 1: have an email address yet? Do we know? Still being 1510 01:29:59,000 --> 01:30:04,320 Speaker 1: worked on? It's a Friday? Come on, It was so hard. 1511 01:30:04,439 --> 01:30:06,840 Speaker 1: I try so hard to get this done. I really 1512 01:30:06,880 --> 01:30:10,400 Speaker 1: do you think work gets done around here on Fridays? Oh? Man? 1513 01:30:11,040 --> 01:30:14,280 Speaker 1: It's like, how hard can this be? But it'll I 1514 01:30:14,320 --> 01:30:20,040 Speaker 1: guess it'll all It'll all be okay, buster ohen It's 1515 01:30:20,080 --> 01:30:24,479 Speaker 1: perfect steak recipe. This works best with fle Mignon and 1516 01:30:24,520 --> 01:30:29,000 Speaker 1: it's a long steak recipe. Enjoy. Okay, thank you, Owen. 1517 01:30:29,640 --> 01:30:33,120 Speaker 1: I appreciate that. Also writes Buck, I totally agree Master 1518 01:30:33,240 --> 01:30:37,880 Speaker 1: and Commander is a terrific movie and would recommend Hacksaw 1519 01:30:38,080 --> 01:30:41,920 Speaker 1: Ridge if you haven't seen it. Well, I would have 1520 01:30:41,960 --> 01:30:43,479 Speaker 1: to agree with you on Master and Commander because I 1521 01:30:43,479 --> 01:30:47,560 Speaker 1: obviously said I think that it's fantastic and it's a 1522 01:30:47,720 --> 01:30:50,400 Speaker 1: Hacksall Ridge I thought was a very good movie. I 1523 01:30:50,520 --> 01:30:53,200 Speaker 1: was a little bit skeptical at first as Hacksall Ridge 1524 01:30:53,280 --> 01:30:56,520 Speaker 1: was was getting going. I didn't think it was necessarily 1525 01:30:56,640 --> 01:31:01,280 Speaker 1: gonna really deliver. But it's an amazing movie. And then 1526 01:31:01,320 --> 01:31:04,760 Speaker 1: when you read the the real Medal of Honor citation 1527 01:31:04,840 --> 01:31:09,160 Speaker 1: that that guy got, it's just an incredible story. Producer, Mark, 1528 01:31:09,160 --> 01:31:11,640 Speaker 1: you seen hacks All Ridge, I have not add that 1529 01:31:11,680 --> 01:31:14,280 Speaker 1: to your list. Man, Well, that's a very you know, 1530 01:31:14,360 --> 01:31:16,320 Speaker 1: next time you're like what movie should I watch? I 1531 01:31:16,360 --> 01:31:20,080 Speaker 1: download on Amazon Prime or whatever or whatever the Amazon 1532 01:31:20,280 --> 01:31:23,920 Speaker 1: platforms you should download. Hacks all is very very good movie. Um, 1533 01:31:24,880 --> 01:31:26,800 Speaker 1: And obviously I like Master and Commander a lot too. 1534 01:31:27,080 --> 01:31:31,040 Speaker 1: I can't remember the last really good war epic that 1535 01:31:31,160 --> 01:31:33,720 Speaker 1: was made. I think it's been a long time, was 1536 01:31:33,760 --> 01:31:37,840 Speaker 1: it Dunkirk? I thought dun Kirk was boring? Really thought 1537 01:31:38,160 --> 01:31:40,960 Speaker 1: I thought it was boring. I'm thinking of I thought, 1538 01:31:41,920 --> 01:31:44,479 Speaker 1: what's going on? What all you know? Where are the ships? 1539 01:31:44,520 --> 01:31:46,040 Speaker 1: They're like, all right, I get it, like they're waiting 1540 01:31:46,080 --> 01:31:47,880 Speaker 1: for the ships to arrive. But there's a lot of 1541 01:31:47,920 --> 01:31:51,200 Speaker 1: just guys on a beach and then a lot of 1542 01:31:51,280 --> 01:31:53,640 Speaker 1: dudes on the boats. Maybe I'm thinking of the one 1543 01:31:53,680 --> 01:31:57,000 Speaker 1: with the medic who helped everyone without a gun. That's 1544 01:31:57,000 --> 01:31:59,640 Speaker 1: hacks all Ridge. Oh then I did see. Actually I'm 1545 01:31:59,680 --> 01:32:01,880 Speaker 1: the worst. Yeah, of course I'm the worst. With the 1546 01:32:02,000 --> 01:32:03,360 Speaker 1: name of the movie. I can tell you the plot, 1547 01:32:03,400 --> 01:32:05,240 Speaker 1: but I don't know the name. It's a fantastically You're right, 1548 01:32:05,240 --> 01:32:07,240 Speaker 1: it was great. I don't need I'll take it right 1549 01:32:07,280 --> 01:32:14,479 Speaker 1: off my list. Yeah, all right, um. Eric Buck speaking 1550 01:32:14,520 --> 01:32:17,320 Speaker 1: on a conservative book about climate change and fossil fuels. 1551 01:32:17,400 --> 01:32:22,200 Speaker 1: I studied environmental geology with an emphasis on environmental conservation 1552 01:32:22,280 --> 01:32:27,520 Speaker 1: and restoration. My senior thesis was on sustainable farming practices. 1553 01:32:28,280 --> 01:32:32,960 Speaker 1: I wholeheartedly viewed oil companies as of the devil. Still 1554 01:32:33,000 --> 01:32:35,320 Speaker 1: hold that the earth as a whole is valuable in 1555 01:32:35,320 --> 01:32:38,639 Speaker 1: it is our responsibility to protect it. That being said, 1556 01:32:39,360 --> 01:32:42,040 Speaker 1: the book that took me off the ledge of left 1557 01:32:42,040 --> 01:32:45,320 Speaker 1: wing crazy was A Moral Case for Fossil Fuels by 1558 01:32:45,320 --> 01:32:50,120 Speaker 1: Alex Epstein. It's a well written book and makes great points. 1559 01:32:52,080 --> 01:32:54,280 Speaker 1: Highly recommend any of these to you and your listeners. 1560 01:32:54,479 --> 01:32:57,760 Speaker 1: Shields High. Well, thank you, Eric, I will I will 1561 01:32:57,840 --> 01:33:00,960 Speaker 1: check that out. I still think that there's a big 1562 01:33:01,000 --> 01:33:07,160 Speaker 1: opening for somebody to write the definitive refutation of climate 1563 01:33:07,240 --> 01:33:12,080 Speaker 1: change catastrophe nonsense. I still think that that's there's an 1564 01:33:12,120 --> 01:33:15,960 Speaker 1: opening for that. I really do. Let's see what we 1565 01:33:16,040 --> 01:33:19,680 Speaker 1: have here. Harry rights, Hey buck, I assume whoops, I 1566 01:33:19,720 --> 01:33:21,760 Speaker 1: don't know why that they're going to the wrong part 1567 01:33:21,800 --> 01:33:24,760 Speaker 1: of my feet all of a sudden. Harry writes, the 1568 01:33:24,800 --> 01:33:27,759 Speaker 1: mainstream media is looking for any bad news they can 1569 01:33:28,360 --> 01:33:31,600 Speaker 1: to blame on Trump. The latest job numbers are a 1570 01:33:31,640 --> 01:33:34,720 Speaker 1: case in point. Only one hundred and thirty thousand new 1571 01:33:34,840 --> 01:33:39,639 Speaker 1: jobs were added last month, supposedly less than expected. But 1572 01:33:39,680 --> 01:33:42,960 Speaker 1: if thirty million people need a job and five hundred 1573 01:33:43,040 --> 01:33:46,400 Speaker 1: thousand jobs are added, that is not as good news 1574 01:33:46,479 --> 01:33:49,479 Speaker 1: as one million people needing jobs and one hundred thousand 1575 01:33:49,520 --> 01:33:54,599 Speaker 1: finding one. Apparently the MSM didn't go the same high school. 1576 01:33:54,600 --> 01:34:02,000 Speaker 1: You or I attended Shields High. Okay, thanks, Harry, appreciate you. 1577 01:34:02,360 --> 01:34:07,400 Speaker 1: Running in man, Sheldon sheld T Buck love your show. 1578 01:34:07,600 --> 01:34:09,720 Speaker 1: You keep me safe and warm all day and all night. 1579 01:34:09,800 --> 01:34:13,800 Speaker 1: Whoa Sheldon, Hey, buddy, Glad I can help. Glad I 1580 01:34:13,800 --> 01:34:17,960 Speaker 1: can be of service. Keep hearing about banning plastic straws 1581 01:34:17,960 --> 01:34:20,879 Speaker 1: and only using the paper ones. I live in Texas, 1582 01:34:20,880 --> 01:34:22,720 Speaker 1: so it's not a big problem here yet. But I've 1583 01:34:22,760 --> 01:34:24,559 Speaker 1: thought of a way to fight back when I end 1584 01:34:24,600 --> 01:34:27,479 Speaker 1: up in a place that only has paper straws. When 1585 01:34:27,479 --> 01:34:31,000 Speaker 1: I see it, I immediately ask for twenty straws, then 1586 01:34:31,080 --> 01:34:33,519 Speaker 1: replace the straw with a new one each time to 1587 01:34:33,560 --> 01:34:37,120 Speaker 1: take a drink, so it's a good firm straw. Maybe 1588 01:34:37,120 --> 01:34:39,200 Speaker 1: if everyone would do this, they will learn that it's 1589 01:34:39,240 --> 01:34:42,719 Speaker 1: not just that it's just not cost effective. Let's fight back, 1590 01:34:43,439 --> 01:34:49,439 Speaker 1: Sheldon from Texas. Oh, it's one way to go. Making 1591 01:34:49,479 --> 01:34:51,759 Speaker 1: straws a pretty big part of your routine here, Sheldon. 1592 01:34:51,840 --> 01:34:54,200 Speaker 1: But I hear you, I hear you. The paper straws 1593 01:34:54,200 --> 01:34:59,599 Speaker 1: are ridiculous, absolutely ridiculous. Look, plastic is an amazing material. 1594 01:35:00,520 --> 01:35:02,840 Speaker 1: Plastic is great. I know that right now people like 1595 01:35:02,920 --> 01:35:07,800 Speaker 1: to demonize plastic, But plastic is fantastic. Oh, that rhyme 1596 01:35:08,840 --> 01:35:12,280 Speaker 1: plastic is fantastic. That should be I should be on 1597 01:35:12,280 --> 01:35:14,880 Speaker 1: one of those national ad campaigns where they come up 1598 01:35:14,920 --> 01:35:21,920 Speaker 1: with the annoying catchy slogan. Yep, totally, Adam Buck, are 1599 01:35:21,960 --> 01:35:25,840 Speaker 1: you going to talk about te Swift being dethroned by 1600 01:35:25,880 --> 01:35:31,280 Speaker 1: an unknown band? Shields High? I don't know what we're well, 1601 01:35:31,320 --> 01:35:36,040 Speaker 1: what's what he mentions? Tool? Here? How is t Swift 1602 01:35:36,040 --> 01:35:39,120 Speaker 1: dethroned by Tool? I don't know who Tool is? Tools 1603 01:35:39,160 --> 01:35:42,000 Speaker 1: a band? Never heard of them. I don't think she's 1604 01:35:42,080 --> 01:35:44,559 Speaker 1: number one in the top fifty right now. Maybe that's 1605 01:35:44,560 --> 01:35:46,120 Speaker 1: what he's talking about. I have no idea what he's 1606 01:35:46,120 --> 01:35:48,120 Speaker 1: talking about. Adam, you're gonna to explain this one, dude, 1607 01:35:48,120 --> 01:35:50,280 Speaker 1: You're you're confusing the whole team right now. No one 1608 01:35:50,320 --> 01:35:57,400 Speaker 1: really knows what's going on here. Al call me all right. 1609 01:35:57,400 --> 01:36:00,160 Speaker 1: It's great segment with Sean Parnell. I don't think he 1610 01:36:00,200 --> 01:36:02,800 Speaker 1: ever said what his favorite war movie is. Ironically, I 1611 01:36:02,920 --> 01:36:05,800 Speaker 1: just ordered Outlaw Platoon today, Shields High, Well, I think 1612 01:36:05,800 --> 01:36:08,040 Speaker 1: you really enjoy Outlaw Platoon. It's an excellent book. I 1613 01:36:08,080 --> 01:36:11,880 Speaker 1: don't just say that because Sean is my friend. I 1614 01:36:11,920 --> 01:36:17,519 Speaker 1: think you'll all really enjoy it. It's it's very written 1615 01:36:17,560 --> 01:36:20,080 Speaker 1: from the perspective of a lot of humility, but also 1616 01:36:20,120 --> 01:36:23,080 Speaker 1: somebody who saw some really intense action. I saw some 1617 01:36:23,240 --> 01:36:31,400 Speaker 1: really up close and personal combat. William, Dave Chappelle was awesome. 1618 01:36:32,040 --> 01:36:34,240 Speaker 1: I understand how you think some of his jokes fell flat, 1619 01:36:34,240 --> 01:36:35,920 Speaker 1: but if you grew up in the South, everything was 1620 01:36:36,000 --> 01:36:40,120 Speaker 1: spot on. Thanks for the recommendation, now, William, I'm so 1621 01:36:40,120 --> 01:36:44,479 Speaker 1: glad you enjoyed him. I thought Dave Chappelle was I 1622 01:36:44,479 --> 01:36:47,880 Speaker 1: thought he did a fantastic job. I really appreciated a 1623 01:36:47,920 --> 01:36:51,360 Speaker 1: comedian who's willing to make jokes that he knows will 1624 01:36:51,439 --> 01:36:56,720 Speaker 1: upset the social justice squad. That's something that's very rare 1625 01:36:56,760 --> 01:36:59,559 Speaker 1: these days. Very few comedians are willing to do that. 1626 01:36:59,600 --> 01:37:04,200 Speaker 1: They're very few comedians out there who will do something 1627 01:37:04,240 --> 01:37:06,120 Speaker 1: that could get them in any trouble at all. So 1628 01:37:06,160 --> 01:37:08,080 Speaker 1: what they do is they just all parrot each other 1629 01:37:08,120 --> 01:37:10,080 Speaker 1: the same kinds of jokes, making fun of the same 1630 01:37:10,160 --> 01:37:14,880 Speaker 1: kinds of people. It's just boring. It's just boring. Simply, 1631 01:37:14,920 --> 01:37:23,200 Speaker 1: it's let's see here, casey, all right, hey buck. In 1632 01:37:23,320 --> 01:37:26,559 Speaker 1: comment to Tuesday show on Mad Dog, maddis Oh here 1633 01:37:26,560 --> 01:37:29,559 Speaker 1: we go. I served under him as my commandant in 1634 01:37:29,600 --> 01:37:32,160 Speaker 1: the Marines. I have much respect for the man, and 1635 01:37:32,120 --> 01:37:36,320 Speaker 1: in many ways he is somewhat of a knife hand 1636 01:37:36,400 --> 01:37:40,559 Speaker 1: ninja to us. However, I can explain these seven thousand 1637 01:37:40,600 --> 01:37:44,240 Speaker 1: books theory. You see, we Marines love our crowns. I 1638 01:37:44,360 --> 01:37:47,599 Speaker 1: prefer the flavored ones, but as it would go, we'd 1639 01:37:47,640 --> 01:37:49,479 Speaker 1: like to color with them as well. Some coloring books 1640 01:37:49,520 --> 01:37:52,200 Speaker 1: even have short stories. So when you consider how many 1641 01:37:52,200 --> 01:37:54,040 Speaker 1: different coloring books there are, it's not that hard to 1642 01:37:54,120 --> 01:37:56,960 Speaker 1: understand how one who has been a cran master for 1643 01:37:57,520 --> 01:38:00,360 Speaker 1: nearly forty years to get through seventeen thousand of them. 1644 01:38:00,400 --> 01:38:02,840 Speaker 1: But with all due respect, we love Maddis as well 1645 01:38:02,880 --> 01:38:05,759 Speaker 1: as our president. Shield Side and separate five casey O, casey. 1646 01:38:05,840 --> 01:38:07,960 Speaker 1: I'm glad to hear that Maddis was a great guy. 1647 01:38:08,400 --> 01:38:11,759 Speaker 1: But there you go. Like I said, I don't know him, 1648 01:38:11,800 --> 01:38:14,920 Speaker 1: so I have no firsthand experience of him at all, 1649 01:38:15,000 --> 01:38:18,600 Speaker 1: and that's that's where I have to leave it. I 1650 01:38:18,720 --> 01:38:22,640 Speaker 1: just know what I read in the papers, Kevin buck Shieldside. 1651 01:38:22,680 --> 01:38:25,719 Speaker 1: With regard to the climate change pushback on the left, 1652 01:38:25,720 --> 01:38:29,760 Speaker 1: take a look at Joe Bastardi's book The Climate Chronicles 1653 01:38:29,880 --> 01:38:34,280 Speaker 1: inconvenient revelations you won't hear from Al Gore and others. 1654 01:38:36,360 --> 01:38:37,960 Speaker 1: I know Joe Best started. We've had him on the 1655 01:38:38,000 --> 01:38:41,519 Speaker 1: show several times, so I think that would certainly be fun. 1656 01:38:41,680 --> 01:38:46,639 Speaker 1: I've got to say I haven't really completely recovered yet 1657 01:38:47,680 --> 01:38:53,160 Speaker 1: on how insane that Democrat town Hall was. I mean, 1658 01:38:53,160 --> 01:38:58,400 Speaker 1: that Democrat town Hall was just looney tunes, lunatic fille. 1659 01:38:58,920 --> 01:39:02,200 Speaker 1: It's crazy, and I don't know how anybody who thinks 1660 01:39:02,200 --> 01:39:05,599 Speaker 1: that they're a serious person could take that seriously, could 1661 01:39:05,640 --> 01:39:07,880 Speaker 1: think that this was a good idea, worthwhile and all 1662 01:39:07,920 --> 01:39:14,040 Speaker 1: the rest of it, and it's just madness. Terry Right's hey, Buck, 1663 01:39:14,080 --> 01:39:15,720 Speaker 1: I'm just listening to your show from last night. You 1664 01:39:15,760 --> 01:39:18,760 Speaker 1: brought up a video that is the counter to Al 1665 01:39:18,840 --> 01:39:23,479 Speaker 1: Gore's an Inconvenient Truth. I taught ap environmental science for years, 1666 01:39:23,520 --> 01:39:27,559 Speaker 1: and I show Gore's movie, then immediately show not Evil, 1667 01:39:27,640 --> 01:39:31,400 Speaker 1: just wrong to balance the viewpoints. Check out the video clip. 1668 01:39:31,439 --> 01:39:33,639 Speaker 1: The movie did not get a lot of attention, strange, 1669 01:39:33,640 --> 01:39:36,360 Speaker 1: I know, but great points were made. She'll tie from 1670 01:39:36,360 --> 01:39:38,960 Speaker 1: New England. Terry. Well, thank you, Terry. I've never seen 1671 01:39:39,040 --> 01:39:44,920 Speaker 1: not Evil, just wrong, and I've never vaguely think I've 1672 01:39:44,960 --> 01:39:47,519 Speaker 1: heard of it, But I might just be saying that 1673 01:39:48,160 --> 01:39:51,880 Speaker 1: pretty sure that I don't know anything about it, So 1674 01:39:52,439 --> 01:39:55,960 Speaker 1: that doesn't speak well to how much attention and press 1675 01:39:56,000 --> 01:40:01,240 Speaker 1: it got. Dan Hey Buck, great show, great hair, back 1676 01:40:01,320 --> 01:40:03,599 Speaker 1: in a great city. Hold, Don, you're a great American. 1677 01:40:04,400 --> 01:40:06,920 Speaker 1: I know you hate numbers, but the CO two controversy 1678 01:40:06,920 --> 01:40:09,280 Speaker 1: won't go away. So an easy way to think of 1679 01:40:09,280 --> 01:40:13,000 Speaker 1: the atmosphere is if each molecule in the atmosphere were 1680 01:40:13,040 --> 01:40:16,519 Speaker 1: a seat in a one hundred thousand seats stadium, then 1681 01:40:16,640 --> 01:40:19,439 Speaker 1: CO two would represent forty to forty one seats, or 1682 01:40:19,479 --> 01:40:26,920 Speaker 1: about four hundred parts per million. All right, very very interesting, 1683 01:40:27,080 --> 01:40:30,639 Speaker 1: very cool. I did not know that. I was unaware 1684 01:40:30,640 --> 01:40:32,800 Speaker 1: of that, Producer, Mark, were you aware of that? I 1685 01:40:32,960 --> 01:40:38,080 Speaker 1: was not. I was unaware of it. Jeff, Actually, well, 1686 01:40:38,080 --> 01:40:39,840 Speaker 1: we've got to take a quick moment here, a little breather. 1687 01:40:40,800 --> 01:40:42,800 Speaker 1: Let you gather yourself, maybe dry off a bit. If 1688 01:40:42,800 --> 01:40:44,320 Speaker 1: you're like me and you're in the northeast and you've 1689 01:40:44,320 --> 01:40:47,759 Speaker 1: gotten covered with a rain while listening to this, hopefully 1690 01:40:47,800 --> 01:40:50,560 Speaker 1: not could have happened, though I don't know why I 1691 01:40:50,560 --> 01:40:53,040 Speaker 1: thought about that, probably because my head still wet. All right, 1692 01:40:53,080 --> 01:40:55,920 Speaker 1: we'll be back in the second with more roll call. Alrighty, 1693 01:40:56,120 --> 01:40:59,920 Speaker 1: we're doing the roll call, and here we go, Jeff 1694 01:41:00,320 --> 01:41:03,759 Speaker 1: hey Buckets tracker Jeff from California a day behind because 1695 01:41:03,760 --> 01:41:08,599 Speaker 1: I listen to your podcast overnight. There's whether but there 1696 01:41:08,760 --> 01:41:11,160 Speaker 1: is a whether our climate change book out there called 1697 01:41:11,200 --> 01:41:14,960 Speaker 1: Inconvenient Facts. I can't remember the author's name, but I've 1698 01:41:14,960 --> 01:41:17,639 Speaker 1: heard it on the radio several times and it sounds 1699 01:41:18,520 --> 01:41:24,800 Speaker 1: really good. Okay again, folks, I'm not I'm sure there 1700 01:41:24,800 --> 01:41:28,719 Speaker 1: are some well written books that deal with climate change 1701 01:41:28,800 --> 01:41:33,360 Speaker 1: and try to make the argument that this is really 1702 01:41:33,400 --> 01:41:35,439 Speaker 1: the best one that I could think of is State 1703 01:41:35,439 --> 01:41:37,960 Speaker 1: of Fear, which is a Michael Crichton book, and you 1704 01:41:38,000 --> 01:41:42,160 Speaker 1: all know how much I love Michael Crichton. But State 1705 01:41:42,160 --> 01:41:46,280 Speaker 1: of Fear is about it's really about eco terrorists. And 1706 01:41:46,360 --> 01:41:50,240 Speaker 1: Crichton thought that what they did in what they've done 1707 01:41:50,320 --> 01:41:54,879 Speaker 1: rather in climatology is to I was gonna say, deplorable, 1708 01:41:54,920 --> 01:41:59,240 Speaker 1: that word has forever changed, is disgraceful. They've made it 1709 01:41:59,360 --> 01:42:03,240 Speaker 1: a religious belief. You cannot you're not allowed to veer 1710 01:42:03,320 --> 01:42:11,440 Speaker 1: from it. So that's an issue, Nathan, right. Uh. Inconvenient 1711 01:42:11,600 --> 01:42:15,080 Speaker 1: Facts the science that Al Gore doesn't want you to 1712 01:42:15,120 --> 01:42:18,000 Speaker 1: know Glenn Back had this author on the Blaze. All Right, guys, 1713 01:42:18,080 --> 01:42:21,679 Speaker 1: I get it. I know there are but this is not. 1714 01:42:22,360 --> 01:42:24,760 Speaker 1: Maybe it's great, I'll take a look at it. But 1715 01:42:24,880 --> 01:42:28,960 Speaker 1: I'm talking about a book that is the seminal work, 1716 01:42:29,120 --> 01:42:35,000 Speaker 1: the the paramount example, the premier. Yeah, you get what 1717 01:42:35,040 --> 01:42:40,599 Speaker 1: I'm saying, the magnum opus, the Pslas stalls. Right, that's 1718 01:42:40,640 --> 01:42:43,360 Speaker 1: how we do it. I'm in kind of a mood. 1719 01:42:43,360 --> 01:42:45,760 Speaker 1: I'm ready for the weekend. Man, I'm on a Netflix 1720 01:42:46,680 --> 01:42:53,040 Speaker 1: and sleep this weekend. That's what I'm gonna do. David, Right, Hey, Buck, 1721 01:42:53,120 --> 01:42:55,759 Speaker 1: my wife's nephew. Post this today. It makes sense. Take 1722 01:42:56,840 --> 01:43:00,680 Speaker 1: take care, Dave. Well, I can't really tell anybody. It's 1723 01:43:00,680 --> 01:43:05,880 Speaker 1: a photo of Di's Walmart and Google. I don't really 1724 01:43:05,920 --> 01:43:07,720 Speaker 1: get what's going on here, but thank you for sending in. 1725 01:43:08,000 --> 01:43:11,759 Speaker 1: Sending it in, Karen, A great book refuting Michael Mann's 1726 01:43:11,800 --> 01:43:15,880 Speaker 1: catastrophic global warming prediction. Is Mark Stein's a disgrace to 1727 01:43:15,880 --> 01:43:18,760 Speaker 1: the profession. At the moment, it has four hundred ninety 1728 01:43:18,800 --> 01:43:22,040 Speaker 1: nine Amazon reviews. Thanks. I checked that out mark Stein. 1729 01:43:22,240 --> 01:43:24,960 Speaker 1: I really enjoyed his one of his earlier books. I 1730 01:43:25,040 --> 01:43:28,960 Speaker 1: think it's America alone, and I would just say that. 1731 01:43:29,120 --> 01:43:31,080 Speaker 1: I think that this is the book that Stein got 1732 01:43:31,080 --> 01:43:37,280 Speaker 1: into legal some legal issue with where where Man sued 1733 01:43:38,040 --> 01:43:40,800 Speaker 1: because he said that it was defamation. I think that 1734 01:43:40,800 --> 01:43:49,280 Speaker 1: that is what happened. So yeah, let's see here, Randy, right, 1735 01:43:49,439 --> 01:43:52,639 Speaker 1: can I learn more about your background? Yeah? Sure, Man, 1736 01:43:53,280 --> 01:43:57,479 Speaker 1: Hey Buck, disregard that question. Okay, Randy, whatever you want, 1737 01:43:57,520 --> 01:43:59,559 Speaker 1: my friend. But I would listening to your show here 1738 01:43:59,560 --> 01:44:01,679 Speaker 1: an Albert Kirky, New Mexico, the show with the dude 1739 01:44:01,680 --> 01:44:05,400 Speaker 1: who has a chainsaw a hand? Is Ash versus Evil Dead? Yeah, 1740 01:44:05,479 --> 01:44:08,120 Speaker 1: we got to that. Thank you for that. Is it 1741 01:44:08,160 --> 01:44:10,920 Speaker 1: worth seeing? I don't know. Is it worth checking out? 1742 01:44:12,600 --> 01:44:15,599 Speaker 1: What gets producer Mark fired up? By the way, because 1743 01:44:15,600 --> 01:44:18,479 Speaker 1: you're not the horror movie producer that was obviously Brandon. 1744 01:44:18,840 --> 01:44:21,320 Speaker 1: And you're not the smoking cigarettes out back with the 1745 01:44:21,400 --> 01:44:24,760 Speaker 1: ladies because you're engaged, and that would have been producer Mike. 1746 01:44:25,200 --> 01:44:30,280 Speaker 1: What is producer? What is producer Mark's things? Sports? What? Sports? 1747 01:44:30,479 --> 01:44:33,720 Speaker 1: I mean, Hockey's my favorite football opening this weekend. I 1748 01:44:33,760 --> 01:44:36,599 Speaker 1: can't believe you said you were going to Netflix and sleep. Oh, 1749 01:44:36,760 --> 01:44:38,920 Speaker 1: I mean hopefully the cable will be fixed. Verizon has 1750 01:44:38,920 --> 01:44:41,439 Speaker 1: been to my home three. I'm a little worn out 1751 01:44:41,479 --> 01:44:44,280 Speaker 1: from my apartment issues. You know, the new place. Verizon's 1752 01:44:44,280 --> 01:44:46,639 Speaker 1: been in my place three times. I mean you're in Manhattan. 1753 01:44:46,680 --> 01:44:48,280 Speaker 1: You probably have to walk a block to get somewhere 1754 01:44:48,280 --> 01:44:51,400 Speaker 1: to watch a game. That's a fair point. Yeah, But 1755 01:44:51,920 --> 01:44:55,000 Speaker 1: I'm just saying Verizon is like a little trip to 1756 01:44:55,040 --> 01:44:57,559 Speaker 1: this Verizon files is like a trip to the Soviet Union. 1757 01:44:57,680 --> 01:44:59,080 Speaker 1: It's like it's like I get to hop in a 1758 01:44:59,120 --> 01:45:01,120 Speaker 1: time machine. Well, I don't boto cable. I just have 1759 01:45:01,200 --> 01:45:04,519 Speaker 1: Wi Fi. Really, how do you watch sports if you 1760 01:45:04,560 --> 01:45:08,439 Speaker 1: only have Wi Fi? I have my ways? Okay, my 1761 01:45:08,479 --> 01:45:11,439 Speaker 1: parents still have cable. Ah See, I gotta I gotta 1762 01:45:11,479 --> 01:45:13,720 Speaker 1: get on that trade because all I really want to 1763 01:45:13,720 --> 01:45:15,439 Speaker 1: be able to do is watch I need to have 1764 01:45:15,680 --> 01:45:18,280 Speaker 1: news on sometimes. I guess for you that makes sense. 1765 01:45:18,360 --> 01:45:20,040 Speaker 1: I don't watch news questions, but I just need to 1766 01:45:20,080 --> 01:45:23,080 Speaker 1: have the news on sometimes. And I probably should start 1767 01:45:23,120 --> 01:45:25,679 Speaker 1: just going more digital. But there's not a good daily 1768 01:45:26,560 --> 01:45:30,519 Speaker 1: digital stream that doesn't require a cable, a cable feed. 1769 01:45:30,520 --> 01:45:34,160 Speaker 1: There's no twenty four hour digital cable network out there 1770 01:45:34,280 --> 01:45:38,719 Speaker 1: that's that's good, that doesn't require a path a cable. 1771 01:45:38,880 --> 01:45:41,640 Speaker 1: There are good options for like streaming television where you 1772 01:45:41,640 --> 01:45:44,439 Speaker 1: can get like fifty channels. Yeah, yeah, like I forgot. 1773 01:45:44,560 --> 01:45:46,679 Speaker 1: Maybe Sling TV is one of them. Yeah, I gotta, 1774 01:45:46,800 --> 01:45:49,679 Speaker 1: I gotta cut the chord. Verizons, Verizon Files is ripping 1775 01:45:49,720 --> 01:45:53,480 Speaker 1: me off, so I'm I'm not having it. All right, everybody, 1776 01:45:54,080 --> 01:45:56,360 Speaker 1: you got your orders, have a fantastic weekend. I'll see 1777 01:45:56,360 --> 01:45:58,240 Speaker 1: you Monday. Shields High