1 00:00:00,560 --> 00:00:05,080 Speaker 1: Pig Mike did my taxes last night, one big beautiful 2 00:00:05,120 --> 00:00:08,559 Speaker 1: bill head on. I got an extra six grand back 3 00:00:08,600 --> 00:00:10,920 Speaker 1: because I camped down on the overtime. 4 00:00:13,320 --> 00:00:17,040 Speaker 2: And uh, I don't like to see a time slide. 5 00:00:18,160 --> 00:00:21,640 Speaker 1: I can't listen to the show for yours or kind 6 00:00:21,680 --> 00:00:25,000 Speaker 1: of after yours house, so I have to flip plump 7 00:00:25,040 --> 00:00:30,400 Speaker 1: around one no good day. Well, with that six thousand 8 00:00:30,440 --> 00:00:34,519 Speaker 1: dollars that you got back, you could you could go 9 00:00:34,600 --> 00:00:40,280 Speaker 1: buy a phone and put the podcast app on there, 10 00:00:41,080 --> 00:00:43,199 Speaker 1: or you could put the iHeart app on there and 11 00:00:43,240 --> 00:00:45,800 Speaker 1: you could stream or listen to the podcast and you 12 00:00:45,840 --> 00:00:46,880 Speaker 1: wouldn't have to flip flumb. 13 00:00:48,040 --> 00:00:51,760 Speaker 2: Hey, isn't that the free to you I heard app? 14 00:00:51,840 --> 00:00:53,120 Speaker 2: Isn't that a free to you? 15 00:00:53,520 --> 00:00:56,120 Speaker 1: Yes? Free to you? Yes. We always like to mention 16 00:00:56,240 --> 00:01:00,520 Speaker 1: free to you because somebody paid for it, but you don't, 17 00:01:02,920 --> 00:01:07,120 Speaker 1: so yes. Or yesterday was the six year anniversary of fouch. 18 00:01:07,200 --> 00:01:10,160 Speaker 1: You met cabal deciding that they were going to bury 19 00:01:10,200 --> 00:01:13,480 Speaker 1: the lab leak theory because they were it really had 20 00:01:13,920 --> 00:01:16,560 Speaker 1: had something to do with communist China, yes, but had 21 00:01:16,600 --> 00:01:20,679 Speaker 1: more to do with protecting their reputations, protecting the secrecy 22 00:01:20,680 --> 00:01:22,880 Speaker 1: of what they were doing. The money laundering scheme with 23 00:01:22,920 --> 00:01:24,800 Speaker 1: eco Health. It had to do with all of that, 24 00:01:26,360 --> 00:01:30,080 Speaker 1: and to this day we still suffer from the consequences 25 00:01:30,120 --> 00:01:34,800 Speaker 1: of that. So I went through and it's obvious. I mean, 26 00:01:34,800 --> 00:01:38,840 Speaker 1: if you think we were a stupid nation before, we're 27 00:01:38,880 --> 00:01:43,960 Speaker 1: a stupider nation today, dumb and dumber, dumb and dumber. 28 00:01:44,600 --> 00:01:47,120 Speaker 1: So we went through those, But have you thought about 29 00:01:47,160 --> 00:01:52,240 Speaker 1: the economic and the workforce consequences of that phone call 30 00:01:52,680 --> 00:01:56,960 Speaker 1: and everything that emanated from that phone call we had 31 00:01:57,000 --> 00:01:59,240 Speaker 1: the In fact, I was just talking to one of 32 00:01:59,280 --> 00:02:02,320 Speaker 1: our salespeople that used to be here is back and 33 00:02:02,640 --> 00:02:04,880 Speaker 1: we were talking about the changes out there in the pit, 34 00:02:05,560 --> 00:02:08,320 Speaker 1: and I said, yeah, they've slowly tried to bring people back, 35 00:02:08,800 --> 00:02:11,320 Speaker 1: but you know it's still not as of course, I 36 00:02:11,360 --> 00:02:13,760 Speaker 1: know a lot of people are gone too, but there's 37 00:02:13,760 --> 00:02:15,440 Speaker 1: not quite as many as what used to be. So 38 00:02:15,440 --> 00:02:17,680 Speaker 1: you'll you'll find it's a little quieter than usual, so 39 00:02:17,760 --> 00:02:20,440 Speaker 1: you might actually be able to do some work. But 40 00:02:20,560 --> 00:02:26,079 Speaker 1: what they really did, the whole work from home in 41 00:02:26,240 --> 00:02:31,120 Speaker 1: Richmond created a bifurcated economy because if you're a knowledge worker, 42 00:02:31,639 --> 00:02:34,560 Speaker 1: you got flexibility, but if you're a service worker, you 43 00:02:34,600 --> 00:02:40,280 Speaker 1: couldn't get that flexibility. So that contributed to the kind 44 00:02:40,280 --> 00:02:44,120 Speaker 1: of the hollowing out of the urban core the central 45 00:02:44,120 --> 00:02:48,520 Speaker 1: business districts. In most cities, commercial and real estate collapse. 46 00:02:49,320 --> 00:02:53,160 Speaker 1: And so what you really have is a a resentment 47 00:02:53,200 --> 00:02:57,040 Speaker 1: between what I would call the laptop class and the 48 00:02:57,120 --> 00:03:03,560 Speaker 1: lunch pale class, and that continues today. We got the 49 00:03:03,600 --> 00:03:07,920 Speaker 1: supply chain fragility. We discovered, Oh, just in time. We were 50 00:03:07,800 --> 00:03:09,920 Speaker 1: always talked to about, all, it's so efficient, we have 51 00:03:10,040 --> 00:03:14,280 Speaker 1: just in time inventory. Well, just in time inventory has 52 00:03:14,360 --> 00:03:19,080 Speaker 1: zero resilience. So we've We've reshored some and Trump is 53 00:03:19,080 --> 00:03:23,240 Speaker 1: trying to reshure even more, but we're still vulnerable. And 54 00:03:23,280 --> 00:03:27,000 Speaker 1: the Infamo, the baby formula crisis of twenty twenty two 55 00:03:27,760 --> 00:03:31,640 Speaker 1: showed that we really didn't learn anything. The labor force 56 00:03:31,720 --> 00:03:36,480 Speaker 1: participation rate. Millions of workers, particularly women and older workers, 57 00:03:36,560 --> 00:03:39,840 Speaker 1: just left the workforce and they haven't come back. Some 58 00:03:39,920 --> 00:03:43,840 Speaker 1: took early retirement, others became long term caregivers, and some 59 00:03:43,920 --> 00:03:48,400 Speaker 1: are dealing with long COVID. The participant the participation rate 60 00:03:49,000 --> 00:03:52,160 Speaker 1: still has not recovered to what it was in twenty nineteen, 61 00:03:53,560 --> 00:03:56,000 Speaker 1: just fewer people working now. I know that part of 62 00:03:56,000 --> 00:03:58,560 Speaker 1: that also is because baby boomers are aging, and baby 63 00:03:58,600 --> 00:04:00,840 Speaker 1: boomers are starting to leave the work force. But still 64 00:04:00,880 --> 00:04:04,240 Speaker 1: it accelerated everything, and it caused some on the margins 65 00:04:04,280 --> 00:04:08,960 Speaker 1: to go ahead and leave anyway, and think about small businesses. 66 00:04:10,600 --> 00:04:12,920 Speaker 1: Cam and I went to a little place, a little 67 00:04:13,080 --> 00:04:16,400 Speaker 1: hole in the wall barbecue place for lunch yesterday, and 68 00:04:16,520 --> 00:04:21,080 Speaker 1: even she noted how, in fact her calm it was 69 00:04:21,120 --> 00:04:24,479 Speaker 1: something to the effect, how pathetic this little strip mall 70 00:04:24,839 --> 00:04:29,039 Speaker 1: has become over the years. Well, well, you know the 71 00:04:29,120 --> 00:04:33,000 Speaker 1: large corporations too big to fail, they got bail outs 72 00:04:33,040 --> 00:04:36,919 Speaker 1: and they thrived. The government picked winners and losers, and 73 00:04:36,960 --> 00:04:39,880 Speaker 1: when they picked the losers, count the small businesses ended 74 00:04:39,960 --> 00:04:44,040 Speaker 1: up closing permanently. The mom and pop restaurant, the bookstore, 75 00:04:44,120 --> 00:04:47,839 Speaker 1: the dry cleaners, they didn't come back, and those spaces 76 00:04:47,880 --> 00:04:51,719 Speaker 1: are still vacant, or they become some sort of corporate chain, 77 00:04:52,800 --> 00:04:55,080 Speaker 1: or come Halloween time they'll fill up with Halloween or 78 00:04:55,120 --> 00:04:58,560 Speaker 1: Christmas time, it will be Christmas crap. It changes the 79 00:04:58,600 --> 00:05:02,479 Speaker 1: community character, all of that because that stupid phone call. 80 00:05:04,000 --> 00:05:07,960 Speaker 1: Then think about what it did to us socially and culturally. Now, 81 00:05:08,000 --> 00:05:10,840 Speaker 1: all the others bugged me, but this one really kind 82 00:05:10,839 --> 00:05:14,760 Speaker 1: of bugs me the most. Beyond the lack of trust 83 00:05:14,880 --> 00:05:20,159 Speaker 1: now in public health, trust in media, government, trust in 84 00:05:20,360 --> 00:05:26,560 Speaker 1: so called experts has cratered. The pandemic became the ultimate 85 00:05:26,600 --> 00:05:31,880 Speaker 1: Warshock test where people's priors were confirmed and hardened. So 86 00:05:32,040 --> 00:05:36,800 Speaker 1: now we're more siloed, we're more tribal. And I know 87 00:05:36,880 --> 00:05:41,400 Speaker 1: that politics was already driving that, but COVID just accelerated it. 88 00:05:43,520 --> 00:05:50,040 Speaker 1: A mental health crisis. I think the entire country needs antidepressants, 89 00:05:50,480 --> 00:05:54,799 Speaker 1: we need ketamine, we need something. We all need a big, 90 00:05:54,880 --> 00:05:59,800 Speaker 1: giant group therapy of some sort because anxiety depression suicide rates, 91 00:06:00,360 --> 00:06:04,920 Speaker 1: particularly among teens and young adults. Why, because of isolation 92 00:06:05,120 --> 00:06:10,400 Speaker 1: during their formative years had profound effects on those kids. Therapy, 93 00:06:10,440 --> 00:06:15,320 Speaker 1: weightless doctor, weightless, months long. And we're seeing the consequences 94 00:06:15,320 --> 00:06:20,920 Speaker 1: and behavioral problems, substance abuse, social withdrawal, everywhere. It just 95 00:06:21,240 --> 00:06:24,560 Speaker 1: it just cut it just cut the guts out of 96 00:06:24,600 --> 00:06:29,960 Speaker 1: a well functioning society. And in terms of social skills. 97 00:06:30,480 --> 00:06:35,280 Speaker 1: Oh maybe this is a function I clearly admit. Maybe 98 00:06:35,320 --> 00:06:39,560 Speaker 1: it's a function of we're Last week the word curmudgeon 99 00:06:39,600 --> 00:06:42,560 Speaker 1: came up. Where'd they come up? Dragon? We somehowped curmudgeon 100 00:06:42,800 --> 00:06:43,799 Speaker 1: came up in our conversation. 101 00:06:43,920 --> 00:06:46,200 Speaker 2: It was like National Curmudgeon Day. Sometime last week. 102 00:06:46,320 --> 00:06:48,880 Speaker 1: Yeah, so I had a national holiday. Why didn't I 103 00:06:48,880 --> 00:06:49,719 Speaker 1: get that day off? 104 00:06:49,800 --> 00:06:52,400 Speaker 2: I told you about it, well as you walked in, Well, why. 105 00:06:52,240 --> 00:06:53,960 Speaker 1: Can't you tell me about it before? Because that was 106 00:06:54,000 --> 00:06:56,320 Speaker 1: probably my work day, That was probably a day off 107 00:06:56,320 --> 00:06:57,360 Speaker 1: for me, and I didn't know it. 108 00:06:57,279 --> 00:06:59,799 Speaker 2: Because I wanted you ask to come in exactly. 109 00:06:59,480 --> 00:07:05,200 Speaker 1: Exactly, so I know that my curmudgeonous whatever it is, 110 00:07:06,120 --> 00:07:13,080 Speaker 1: probably has been exacerbated by everything. But still, we have adults, 111 00:07:13,880 --> 00:07:16,960 Speaker 1: peoples that are adults who spent one or two years 112 00:07:17,000 --> 00:07:20,360 Speaker 1: barely interacting with anybody else. In fact, some of them 113 00:07:20,480 --> 00:07:23,640 Speaker 1: even reports they forgot how to make small talk, how 114 00:07:23,680 --> 00:07:27,240 Speaker 1: to navigate social situations, how to even maintain a friendship. 115 00:07:27,760 --> 00:07:31,520 Speaker 1: Dating became most almost entirely app based for a generation 116 00:07:31,680 --> 00:07:36,320 Speaker 1: that missed all the crucial in person social learning. What 117 00:07:36,360 --> 00:07:38,720 Speaker 1: are they going to be like when they get to 118 00:07:38,720 --> 00:07:43,960 Speaker 1: be may you had marriages that got postponed, pregnancies delayed, 119 00:07:44,240 --> 00:07:49,200 Speaker 1: career moves frozen, that compressed everything, which means that services 120 00:07:49,200 --> 00:07:53,840 Speaker 1: and infrastructure are now dealing with bulges. Suddenly everybody wants 121 00:07:53,880 --> 00:07:55,920 Speaker 1: to get married, everybody wants to have kids, everybody wants 122 00:07:55,920 --> 00:07:58,600 Speaker 1: to buy houses simultaneously, and now we look at the market, 123 00:08:00,240 --> 00:08:04,920 Speaker 1: and then remote everything got normalized. It's kind of funny 124 00:08:04,960 --> 00:08:10,080 Speaker 1: how even in this business, remote everything became normalized. I 125 00:08:10,120 --> 00:08:13,160 Speaker 1: can remember pre COVID, if I wanted to do my 126 00:08:13,440 --> 00:08:17,880 Speaker 1: weekday program or the nationally syndicated weekend program from the 127 00:08:17,880 --> 00:08:20,200 Speaker 1: House of New Mexico, Oh my gosh, had you get 128 00:08:20,200 --> 00:08:23,000 Speaker 1: like fifteen thousand approvals? And then it was like, oh, 129 00:08:23,040 --> 00:08:25,520 Speaker 1: the ringing of hands, of the nashing of teeth, oh early, 130 00:08:25,560 --> 00:08:27,040 Speaker 1: I don't know. Now it's just kind of like, oh, 131 00:08:27,040 --> 00:08:30,080 Speaker 1: are you underday? Oh yeah, whatever, It doesn't mean the difference. 132 00:08:31,480 --> 00:08:34,080 Speaker 1: What does that do though? Not for me? But what 133 00:08:34,120 --> 00:08:37,920 Speaker 1: does it do if you remote? If you normalize everything 134 00:08:37,960 --> 00:08:44,440 Speaker 1: being remote, well, that means we accept isolation as the default. 135 00:08:44,800 --> 00:08:50,720 Speaker 1: Doctor's appointments, telemedicine, therapy, job interviews all on screens. Now, 136 00:08:50,760 --> 00:08:54,360 Speaker 1: it might be efficient, but you're losing the human connection 137 00:08:55,120 --> 00:08:58,480 Speaker 1: and in doing that, you lose the ability to read 138 00:08:58,880 --> 00:09:03,840 Speaker 1: non verbal cure use. If you could see me in 139 00:09:03,920 --> 00:09:06,480 Speaker 1: this studio when I'm when I'm doing what I'm doing 140 00:09:06,520 --> 00:09:10,319 Speaker 1: right now, dragon will tell you that my facial expressions, 141 00:09:11,440 --> 00:09:14,839 Speaker 1: my eyes, my hands, everything's moving all at once, because 142 00:09:14,840 --> 00:09:16,720 Speaker 1: that's just the way that's the way I do normally. 143 00:09:18,320 --> 00:09:20,319 Speaker 1: So I had a I had a team's call with 144 00:09:20,400 --> 00:09:24,480 Speaker 1: someone last week that within the company that I haven't 145 00:09:24,480 --> 00:09:28,160 Speaker 1: talked to in quite sometime, and one I was shocked 146 00:09:28,280 --> 00:09:35,280 Speaker 1: by her her inability to kind of come through the screen. 147 00:09:36,679 --> 00:09:39,440 Speaker 1: It was just as if there was there was a 148 00:09:39,440 --> 00:09:42,480 Speaker 1: screen between this. It was really odd someone that I 149 00:09:42,520 --> 00:09:45,760 Speaker 1: know pretty well. It's just like, wait a minute, come on, 150 00:09:45,960 --> 00:09:49,240 Speaker 1: break out of your shell. Break out of your shell. 151 00:09:49,360 --> 00:09:52,080 Speaker 1: So that's affected us in our day to day lives. 152 00:09:53,400 --> 00:09:56,080 Speaker 1: Now let's go to something else that really bugs me. 153 00:09:56,480 --> 00:10:03,800 Speaker 1: Government and civil liberties. Think about the precedent that was 154 00:10:03,840 --> 00:10:07,560 Speaker 1: set when it comes to emergency powers. All of a sudden, 155 00:10:07,600 --> 00:10:11,480 Speaker 1: governors and a bunch of bureaucrats and health departments discovered 156 00:10:11,520 --> 00:10:14,560 Speaker 1: they had extraordinary powers. And by golly, when you got 157 00:10:14,600 --> 00:10:17,800 Speaker 1: extraordinary powers, we're going to use them. So the precedent 158 00:10:17,840 --> 00:10:21,319 Speaker 1: for the lockdowns, to close businesses, to pick winners and losers, 159 00:10:21,400 --> 00:10:25,720 Speaker 1: to restrict movement is now established. Now, whether you support 160 00:10:25,800 --> 00:10:28,280 Speaker 1: those measures or not, this isn't making any difference to me, 161 00:10:28,320 --> 00:10:33,160 Speaker 1: because we've crossed the rubicon, and next time they'll be 162 00:10:33,200 --> 00:10:36,360 Speaker 1: even quicker to implement it, and probably even stricter in 163 00:10:36,400 --> 00:10:38,760 Speaker 1: trying to enforce it, and that will lead to even 164 00:10:38,960 --> 00:10:44,520 Speaker 1: more civil discord. All because of that stupid, dumbass phone 165 00:10:44,559 --> 00:10:50,479 Speaker 1: call six years ago yesterday, and the deficit. We've spent trillions, 166 00:10:51,559 --> 00:10:55,400 Speaker 1: some necessary, granted I some of it may have been necessary, 167 00:10:55,960 --> 00:11:00,360 Speaker 1: most of it wasteful. And then the combination of stimulus checks, 168 00:11:01,240 --> 00:11:05,480 Speaker 1: the Payroll Protection Plan program, that fraud that was at 169 00:11:05,520 --> 00:11:09,040 Speaker 1: least two hundred billion dollars or more. We expanded unemployment. 170 00:11:09,080 --> 00:11:11,960 Speaker 1: That created massive depth. It will be servicing for decades. 171 00:11:12,559 --> 00:11:16,000 Speaker 1: That constrains our future policy options when it comes to 172 00:11:16,040 --> 00:11:20,320 Speaker 1: monetary and fiscal policy. It just goes on and on. 173 00:11:21,160 --> 00:11:25,200 Speaker 1: And then you got the regulatory state, the deep state 174 00:11:25,960 --> 00:11:30,040 Speaker 1: agencies like the CDC OSHA. They claimed authorities that were 175 00:11:30,120 --> 00:11:33,240 Speaker 1: legally dubious. Now, of course, eventually struck down some of 176 00:11:33,240 --> 00:11:36,880 Speaker 1: the ocean vaccine mandates, but the inclination to use emergency 177 00:11:36,920 --> 00:11:41,400 Speaker 1: declarations to circumvent a normal regulatory process is now a 178 00:11:41,520 --> 00:11:49,400 Speaker 1: muscle memory for those bureaucrats. Criminal justice policing, deferred justice. 179 00:11:50,480 --> 00:11:55,400 Speaker 1: Where do you think all of the current no bail policies, 180 00:11:55,960 --> 00:11:58,760 Speaker 1: no jail time, where do you think that came from? 181 00:11:59,400 --> 00:12:01,560 Speaker 1: Do you think that came because they really care about 182 00:12:01,559 --> 00:12:03,840 Speaker 1: illegal aliens, or do you think that came about No, 183 00:12:03,960 --> 00:12:06,960 Speaker 1: what it did was it gave all of those liberal 184 00:12:07,080 --> 00:12:11,480 Speaker 1: numb nuts that were already buried within the system. It 185 00:12:11,520 --> 00:12:17,560 Speaker 1: gave them the opportunity to implement their own personal political philosophy. 186 00:12:17,800 --> 00:12:22,960 Speaker 1: Courts shut down, trials got postponed. Backlogs are massive. Criminal 187 00:12:23,040 --> 00:12:26,160 Speaker 1: defenders waited for years for the day in court. Civil 188 00:12:26,200 --> 00:12:29,520 Speaker 1: cases are backlogged into twenty twenty six, and some jurisdictions 189 00:12:30,720 --> 00:12:34,040 Speaker 1: they're just now starting to catch up. The twenty twenty 190 00:12:34,120 --> 00:12:39,320 Speaker 1: crime surge wasn't solely because of defund the police. COVID 191 00:12:39,559 --> 00:12:44,040 Speaker 1: disrupted intervention programs, It closed the w rec centers, It 192 00:12:44,080 --> 00:12:48,120 Speaker 1: eliminated mentorship opportunities for at risk use. Those kids are 193 00:12:48,120 --> 00:12:51,240 Speaker 1: now deeper into the system and they'll probably never escape 194 00:12:51,280 --> 00:12:57,720 Speaker 1: the system, and we pushed them there prison release early. 195 00:12:58,360 --> 00:13:01,280 Speaker 1: Remember before I go into the prison, I should have 196 00:13:01,280 --> 00:13:03,560 Speaker 1: said this at the beginning when I talked about criminal justice. 197 00:13:05,640 --> 00:13:07,520 Speaker 1: When I use the term muscle memory. It made me 198 00:13:07,520 --> 00:13:11,560 Speaker 1: think of this. Once a bureaucrat, just like a government program, 199 00:13:12,120 --> 00:13:15,600 Speaker 1: Once a bureaucrat learns that, oh I can flex this 200 00:13:16,240 --> 00:13:19,320 Speaker 1: and I won't get any pushback, they'll be more prone 201 00:13:19,320 --> 00:13:22,360 Speaker 1: to flex it again and again and again, and every 202 00:13:22,360 --> 00:13:25,320 Speaker 1: time they flex it, they'll flex that muscle memory just 203 00:13:25,360 --> 00:13:28,120 Speaker 1: a little further, just a little bit, just a little bit, 204 00:13:28,160 --> 00:13:31,880 Speaker 1: till it hurts until somebody pushes back. And that's what 205 00:13:32,000 --> 00:13:35,960 Speaker 1: happened with prisons early release programs. So we got to 206 00:13:35,960 --> 00:13:39,000 Speaker 1: prevent COVID from spreading in prisons that put thousands on 207 00:13:39,040 --> 00:13:41,600 Speaker 1: the street, and put thousands on the street, and there 208 00:13:41,640 --> 00:13:44,600 Speaker 1: was no support system. There was no re entry program 209 00:13:44,640 --> 00:13:50,000 Speaker 1: because those were shut down too, so recidivism predictably skyrocketed. 210 00:13:51,920 --> 00:13:58,600 Speaker 1: Having gotten international relations, China began its ascendancy while we 211 00:13:58,600 --> 00:14:02,040 Speaker 1: were fighting over masks and and locked down. China rebounded faster, 212 00:14:02,559 --> 00:14:05,880 Speaker 1: They expanded their belt and road influence. The pandemic accelerated 213 00:14:05,920 --> 00:14:09,800 Speaker 1: the shift toward a multipolar world where American leadership is questioned, 214 00:14:10,800 --> 00:14:16,480 Speaker 1: Supply chain vulnerabilities, dependency on Chinese manufacturing became undeniable. The 215 00:14:16,559 --> 00:14:19,760 Speaker 1: friends shoring and decoupling policies that were now pursuing our 216 00:14:19,800 --> 00:14:25,680 Speaker 1: direct responses with implications for trade policies, costs international corporate cooperation, 217 00:14:25,800 --> 00:14:31,560 Speaker 1: and they'll go on for decades now. Science, macademia, non 218 00:14:31,600 --> 00:14:36,320 Speaker 1: cos of research came to a halt. Cancer trials, Alzheimer's research, 219 00:14:36,480 --> 00:14:40,000 Speaker 1: physics experiments all posed. We probably lost I don't know, 220 00:14:40,040 --> 00:14:43,280 Speaker 1: at least two years of progress on thousands of important 221 00:14:43,280 --> 00:14:46,560 Speaker 1: medical questions because all the money suddenly went to Oh 222 00:14:46,680 --> 00:14:48,680 Speaker 1: we got to go put it into stars gourv too. 223 00:14:50,000 --> 00:14:53,960 Speaker 1: It's just like what it is exactly parallel to what 224 00:14:54,080 --> 00:14:57,680 Speaker 1: I experienced post nine to eleven. Post nine to eleven, 225 00:14:58,000 --> 00:15:01,120 Speaker 1: we had all sorts of programs to help state and 226 00:15:01,160 --> 00:15:06,360 Speaker 1: local governments to mitigate and prepare for disasters. But post 227 00:15:06,440 --> 00:15:10,200 Speaker 1: nine to eleven everything got focused on terrorism. So all 228 00:15:10,200 --> 00:15:13,200 Speaker 1: of that money dried up. And so what did people do? Well, oh, 229 00:15:13,280 --> 00:15:15,560 Speaker 1: now we got to put ballers in front of federal buildings. Right. 230 00:15:15,600 --> 00:15:17,320 Speaker 1: I'm not saying it's not a bad is a good 231 00:15:17,320 --> 00:15:19,400 Speaker 1: thing or a bad thing. I'm just saying that suddenly 232 00:15:19,520 --> 00:15:26,280 Speaker 1: people's priorities changed. And now with mitigation. Oh so if 233 00:15:26,440 --> 00:15:29,280 Speaker 1: and we don't, but if we had more frequent storms, 234 00:15:29,360 --> 00:15:31,920 Speaker 1: and if we had rising sea levels, and if we 235 00:15:31,960 --> 00:15:34,440 Speaker 1: had a changing climate, which we do because it always will, 236 00:15:35,600 --> 00:15:38,880 Speaker 1: there's no money to mitigate against that changing climate, because oh, 237 00:15:39,160 --> 00:15:41,560 Speaker 1: we spent money on other things, just like you know, 238 00:15:41,680 --> 00:15:44,600 Speaker 1: cancer research has been put behind, all Zheimer's put behind, 239 00:15:44,880 --> 00:15:47,480 Speaker 1: all the physics. Things have been put behind. So the 240 00:15:47,880 --> 00:15:51,960 Speaker 1: through line here is pretty simple. We made a series 241 00:15:52,480 --> 00:15:57,000 Speaker 1: of emergency decisions based on that phone call. Now, a 242 00:15:57,080 --> 00:16:01,280 Speaker 1: few might have been necessary, but most were and a 243 00:16:01,320 --> 00:16:05,520 Speaker 1: lot was politically motivated, and we're now living with second 244 00:16:05,680 --> 00:16:12,440 Speaker 1: and third order effects. Policymakers, Congress, state legislators, they won't 245 00:16:12,520 --> 00:16:14,960 Speaker 1: consider it, they don't care about it in the moment, 246 00:16:15,280 --> 00:16:18,480 Speaker 1: And in fact, I would I would venture that many 247 00:16:18,520 --> 00:16:23,840 Speaker 1: Republicans and certainly almost all you know, communist, socialist Marxist Democrats, 248 00:16:24,600 --> 00:16:28,120 Speaker 1: actually see what they were able to do and subtly 249 00:16:28,240 --> 00:16:31,360 Speaker 1: try to expand that into every area of our lives 250 00:16:31,600 --> 00:16:35,920 Speaker 1: that they possibly can. We borrow from the future in 251 00:16:36,120 --> 00:16:40,560 Speaker 1: dozens of ways, and that bill will come do in 252 00:16:40,600 --> 00:16:46,960 Speaker 1: a less educated society, hired that institutional distrust, social fragmentation 253 00:16:47,720 --> 00:16:51,840 Speaker 1: that will take at least a generation to repair. And 254 00:16:51,920 --> 00:16:54,600 Speaker 1: I would add if it can be repaired at all 255 00:16:55,640 --> 00:17:02,280 Speaker 1: simply because of a phone call, a phone call in 256 00:17:02,360 --> 00:17:08,880 Speaker 1: which bureaucrats unanswerable, well not completely unanswerable, because Congress could 257 00:17:08,920 --> 00:17:11,800 Speaker 1: have held them accountable, This Department of Justice could have 258 00:17:11,800 --> 00:17:15,240 Speaker 1: held them accountable. Their superiors could have held them accountable, 259 00:17:15,840 --> 00:17:20,320 Speaker 1: but they didn't. They turned to follow the science idea 260 00:17:20,440 --> 00:17:23,080 Speaker 1: into a conversation end as I said in the Last 261 00:17:23,119 --> 00:17:28,879 Speaker 1: Hour Starskov two, and all of the ramifications event became 262 00:17:28,920 --> 00:17:32,480 Speaker 1: the equival of the word racist or racism or sexism 263 00:17:33,240 --> 00:17:36,280 Speaker 1: or any sort of phobia. It was meant to shut 264 00:17:36,400 --> 00:17:40,360 Speaker 1: down debate. So they didn't just lie about the origin 265 00:17:40,520 --> 00:17:46,280 Speaker 1: of the virus. They built an entirely new kind of religion, 266 00:17:47,400 --> 00:17:52,600 Speaker 1: and they excommunicated any of us who questioned that new religion. 267 00:17:54,080 --> 00:17:58,200 Speaker 1: And it's now becoming better in our society. So if 268 00:17:58,240 --> 00:18:02,119 Speaker 1: you have a chance, I read Matt Ridley's on X 269 00:18:02,440 --> 00:18:07,520 Speaker 1: who ever everybody has to say February one, twenty twenty 270 00:18:08,000 --> 00:18:12,360 Speaker 1: a teleconference that well, just a basic scientific cover up 271 00:18:12,680 --> 00:18:17,080 Speaker 1: that we're still suffering from. First, I'm buying more guns 272 00:18:17,119 --> 00:18:19,919 Speaker 1: and amba with my six strand. And secondly, I do 273 00:18:20,080 --> 00:18:30,360 Speaker 1: have to add have a great day and you're listening, yay. 274 00:18:31,160 --> 00:18:33,040 Speaker 2: But it's difficult for it, Michael. So go back to 275 00:18:33,040 --> 00:18:35,639 Speaker 2: your old time slot, would you now? 276 00:18:35,960 --> 00:18:36,960 Speaker 1: I love this time slot. 277 00:18:39,880 --> 00:18:41,439 Speaker 2: Great for me too. I don't get to see you 278 00:18:41,560 --> 00:18:42,399 Speaker 2: till almost nine. 279 00:18:42,240 --> 00:18:46,440 Speaker 1: O'clock and for an hour less than normal too. It's 280 00:18:46,440 --> 00:18:53,200 Speaker 1: a win win situation for everybody, for everybody exactly on 281 00:18:54,000 --> 00:18:55,879 Speaker 1: I don't know where I was going yesterday. Oh I know, 282 00:18:55,920 --> 00:18:58,800 Speaker 1: I had to go pick up I had to go 283 00:18:58,840 --> 00:19:03,040 Speaker 1: pick up something at the mall. And the news story 284 00:19:03,240 --> 00:19:08,400 Speaker 1: was about the documentary Milania, which is about Milania Trump. 285 00:19:09,960 --> 00:19:14,560 Speaker 1: And I don't have that SoundBite, but in essence, it was, 286 00:19:15,640 --> 00:19:20,920 Speaker 1: the numbers are really really bad, seventy five million dollars, 287 00:19:21,080 --> 00:19:28,240 Speaker 1: which was production and marketing costs, the whole basket of costs. 288 00:19:28,760 --> 00:19:32,679 Speaker 1: It was about seventy five million dollars. And it was 289 00:19:32,760 --> 00:19:35,879 Speaker 1: released I guess over the weekend and the box office 290 00:19:35,880 --> 00:19:41,200 Speaker 1: pulled in seven million dollars. And they say that means 291 00:19:41,240 --> 00:19:46,879 Speaker 1: it is a dud. Okay, let's break that down because 292 00:19:46,920 --> 00:19:52,359 Speaker 1: here are here are two stories, same numbers. The bare 293 00:19:52,480 --> 00:19:58,040 Speaker 1: facts are this, Amazon MGM Studios paid forty million dollars 294 00:19:58,119 --> 00:20:03,240 Speaker 1: to acquire Millennia twenty Days to History, and then Amazon 295 00:20:03,359 --> 00:20:09,240 Speaker 1: MGM spent another thirty five million dollars to market the documentary. 296 00:20:10,440 --> 00:20:13,480 Speaker 1: So that's seventy five million dollars total investment for a 297 00:20:13,560 --> 00:20:17,439 Speaker 1: documentary that follows the first Lady through twenty days before 298 00:20:17,480 --> 00:20:21,520 Speaker 1: the twenty twenty five inauguration. Now, that does make it 299 00:20:22,280 --> 00:20:28,280 Speaker 1: the priciest documentary in history by a country mile. An 300 00:20:28,280 --> 00:20:32,680 Speaker 1: opening weekend, as I said, seven million dollars from more 301 00:20:32,720 --> 00:20:40,080 Speaker 1: than seventeen hundred theaters, landing at number three behind Iron 302 00:20:40,240 --> 00:20:45,399 Speaker 1: Lung and Send Help. But what do those numbers mean 303 00:20:45,440 --> 00:20:50,439 Speaker 1: without any context? That is the strongest opening for a 304 00:20:50,560 --> 00:20:55,000 Speaker 1: non concert documentary in more than a decade. You've heard 305 00:20:55,000 --> 00:21:01,360 Speaker 1: of Angel Studios. So Angel Studios is this i would say, 306 00:21:01,480 --> 00:21:05,560 Speaker 1: Christian based production company that has kind of gone from 307 00:21:05,640 --> 00:21:09,760 Speaker 1: the sappy, kind of cheesy Christian movies and doing some 308 00:21:09,880 --> 00:21:17,720 Speaker 1: really quality, you know, good wholesome stories. So the documentary 309 00:21:17,960 --> 00:21:24,359 Speaker 1: Millennia twenty Days to History beat Angel Studios After Death. 310 00:21:25,760 --> 00:21:28,119 Speaker 1: That was a five million dollar production done back in 311 00:21:28,160 --> 00:21:33,000 Speaker 1: twenty twenty three. But when you spend seventy five million dollars, 312 00:21:33,160 --> 00:21:37,080 Speaker 1: a seven million dollar opening truly is a financial disaster 313 00:21:37,280 --> 00:21:40,919 Speaker 1: by any traditional metric. But of course, Amazon isn't a 314 00:21:40,920 --> 00:21:45,000 Speaker 1: traditional studio. That's a trillion dollar company that can afford 315 00:21:45,040 --> 00:21:48,560 Speaker 1: what one insider in some of the Hollywood papers says that, well, 316 00:21:48,560 --> 00:21:52,160 Speaker 1: that's just a rounding error to them. But let's compare 317 00:21:53,000 --> 00:21:56,480 Speaker 1: Matt Walsh, who is a online He's very active with 318 00:21:56,560 --> 00:22:02,200 Speaker 1: his own website, very active on x He's a conservative influencer. 319 00:22:03,359 --> 00:22:06,760 Speaker 1: He did a documentary. I think it was like last 320 00:22:06,880 --> 00:22:11,239 Speaker 1: maybe it was last Fall sometime, am I Racist? It 321 00:22:11,320 --> 00:22:14,959 Speaker 1: opened to four and a half million dollars, but it 322 00:22:15,000 --> 00:22:17,640 Speaker 1: was only a three million dollar budget, and it went 323 00:22:17,680 --> 00:22:20,520 Speaker 1: on to gross twelve point three million dollars total. That 324 00:22:20,600 --> 00:22:26,879 Speaker 1: became the decades's top grossing documentary. Now Fahrenheit nine to eleven, 325 00:22:27,600 --> 00:22:32,240 Speaker 1: Michael Moore still holds the record for documentaries with twenty 326 00:22:32,240 --> 00:22:35,560 Speaker 1: three point two million opening on just eight hundred and 327 00:22:35,600 --> 00:22:39,280 Speaker 1: sixty eight screens back in four So that's about twenty 328 00:22:39,280 --> 00:22:44,920 Speaker 1: seven thousand dollars per screen average versus Millennia's three nine 329 00:22:45,000 --> 00:22:49,439 Speaker 1: hundred and sixty dollars per screen. But here's where it 330 00:22:49,440 --> 00:22:55,440 Speaker 1: gets interesting, because if you break down the audience, who went, 331 00:22:56,080 --> 00:23:01,760 Speaker 1: who paid, you will get well what you might predict, 332 00:23:02,560 --> 00:23:07,400 Speaker 1: but with some pretty revealing statistics. There's a red state 333 00:23:07,480 --> 00:23:12,080 Speaker 1: dominance now despite Amazon programming more seats in blue areas, 334 00:23:13,160 --> 00:23:19,160 Speaker 1: Cheryla said Amazon deliberately programmed more seats in blue areas. 335 00:23:19,920 --> 00:23:23,800 Speaker 1: Fifty five percent of the seats were in theaters in 336 00:23:24,400 --> 00:23:27,960 Speaker 1: blue areas versus forty five percent of the seats in 337 00:23:28,359 --> 00:23:33,280 Speaker 1: red areas, So the film overperformed massively in red counties. 338 00:23:33,880 --> 00:23:38,359 Speaker 1: Of six hundred thousand total admissions, fifty three percent came 339 00:23:38,359 --> 00:23:42,120 Speaker 1: from red zones versus only forty seven percent from blue zones. 340 00:23:43,000 --> 00:23:50,040 Speaker 1: So the top markets read like a Trump rally tour. Dallas, Orlando, Tampa, Phoenix, Houston, Atlanta, 341 00:23:50,320 --> 00:23:53,240 Speaker 1: West Palm cities you never see in top ten box 342 00:23:53,280 --> 00:23:57,680 Speaker 1: office lists. Fort Myers, Naples, Florida. They all made the charts. 343 00:23:58,600 --> 00:24:01,919 Speaker 1: So what was the target demo? This played like a 344 00:24:02,000 --> 00:24:04,800 Speaker 1: faith based film, just like something Angel Studios would do. 345 00:24:05,840 --> 00:24:09,720 Speaker 1: The audience was seventy two percent female, seventy two percent 346 00:24:09,760 --> 00:24:13,480 Speaker 1: over the age of fifty five, seventy five percent White 347 00:24:13,520 --> 00:24:17,399 Speaker 1: women over fifty five represent seventy two percent of opening 348 00:24:17,520 --> 00:24:22,199 Speaker 1: day audiences, and self id Republicans made up almost fifty 349 00:24:22,200 --> 00:24:26,920 Speaker 1: percent of ticket buyers conservatise forty seven percent. Rural theaters, 350 00:24:26,920 --> 00:24:29,720 Speaker 1: which typically account for less than thirty I should say 351 00:24:29,760 --> 00:24:34,040 Speaker 1: for about thirty percent of box office, delivered forty six 352 00:24:34,119 --> 00:24:40,120 Speaker 1: percent of Lania's gross, So they overperformed. Oh, you don't 353 00:24:40,119 --> 00:24:43,400 Speaker 1: think there's a rural urban divide in this country. Look 354 00:24:43,400 --> 00:24:48,280 Speaker 1: at that number again. Rural theaters account for less than 355 00:24:48,320 --> 00:24:51,400 Speaker 1: a third of box office, but they delivered forty six, 356 00:24:51,480 --> 00:24:56,080 Speaker 1: almost half of the gross of that documentary over the weekend. Meanwhile, 357 00:24:56,160 --> 00:25:04,399 Speaker 1: major blue cities empty seats. Duh, shocker, right, there were 358 00:25:04,440 --> 00:25:10,119 Speaker 1: screenshots taken of Washington, DC theaters that went viral. Los 359 00:25:10,160 --> 00:25:14,919 Speaker 1: Angeles underperformed. One reporter over the UK was the only 360 00:25:15,000 --> 00:25:17,440 Speaker 1: person in the theater and he made sure that everybody 361 00:25:17,520 --> 00:25:21,520 Speaker 1: knew I'm the only one in here. Africa South Africa, well, 362 00:25:21,560 --> 00:25:23,520 Speaker 1: they just pulled the film entirely, didn't even show it 363 00:25:23,520 --> 00:25:29,960 Speaker 1: before opening. This film has created the most extreme critic 364 00:25:30,160 --> 00:25:34,919 Speaker 1: audience split that I think I've ever seen. You know, 365 00:25:35,000 --> 00:25:39,560 Speaker 1: Rotten Tomatoes divides reviews up between the critics and the audience. 366 00:25:40,520 --> 00:25:46,640 Speaker 1: Here's the critics verdict. Rotten Tomatoes got eleven percent from critics. 367 00:25:47,440 --> 00:25:52,880 Speaker 1: That's worse than the forever running Cats. The Metacritic four 368 00:25:52,920 --> 00:25:57,960 Speaker 1: out of a hundred, so that's classified as overwhelmingly disliked. 369 00:25:58,640 --> 00:26:02,080 Speaker 1: Here's some sample reviews The Guardian. They called it pure 370 00:26:02,359 --> 00:26:08,040 Speaker 1: endless hell. Variety Magazine, the Bible of Hollywood, a documentary 371 00:26:08,119 --> 00:26:11,879 Speaker 1: that never comes to life, barely rises to the level 372 00:26:11,920 --> 00:26:18,159 Speaker 1: of a shameless infomercial. The Hollywood Reporter fawn so lavishly 373 00:26:18,240 --> 00:26:22,480 Speaker 1: over its subject that you feel downright unpatriotic not gushing 374 00:26:22,520 --> 00:26:26,720 Speaker 1: over it, and The Atlantic magazine declared it a disgrace 375 00:26:27,320 --> 00:26:31,960 Speaker 1: and a quote protection racket. Rolling Stone reported that two 376 00:26:31,960 --> 00:26:34,320 Speaker 1: thirds of the New York crew didn't want their names 377 00:26:34,359 --> 00:26:37,040 Speaker 1: on it. Oh, well, but you wanted to get paid, didn't. 378 00:26:37,040 --> 00:26:39,920 Speaker 1: You don't put my name on there, but make sure 379 00:26:39,920 --> 00:26:42,960 Speaker 1: my name's on that paycheck. So that's the critics review 380 00:26:43,000 --> 00:26:51,040 Speaker 1: on Rotten Tomatoes. The audience reaction Rotten Tomatoes ninety nine 381 00:26:50,480 --> 00:26:54,879 Speaker 1: percent audience score, So the audience that actually went to 382 00:26:55,000 --> 00:26:58,040 Speaker 1: it gave it a ninety nine approval rate. And there 383 00:26:58,040 --> 00:27:01,120 Speaker 1: are more than five hundred verified ratings on there right now, 384 00:27:01,400 --> 00:27:04,360 Speaker 1: send them a score. Gave it an A grade. Post 385 00:27:04,359 --> 00:27:09,560 Speaker 1: Track gave it five stars, eighty nine percent, definitely recommend. Now, 386 00:27:10,000 --> 00:27:13,160 Speaker 1: the industry will tell you that anything on Post Track 387 00:27:13,240 --> 00:27:17,680 Speaker 1: this above seventy percent is outstanding. And there are reports 388 00:27:17,680 --> 00:27:20,359 Speaker 1: that some sold out screenings with standing ovations and shouts 389 00:27:20,359 --> 00:27:24,240 Speaker 1: of Trump twenty twenty eight. So where does that leave us. 390 00:27:24,920 --> 00:27:28,679 Speaker 1: That's a ninety two point gap between critics and audiences. 391 00:27:28,680 --> 00:27:30,280 Speaker 1: So let me, get me, let me give you some 392 00:27:30,280 --> 00:27:35,480 Speaker 1: perspective real quickly, that never happens, that virtually never happens, 393 00:27:36,119 --> 00:27:40,439 Speaker 1: even polarizing films. Maybe see a twenty to thirty point spread. 394 00:27:40,920 --> 00:27:45,000 Speaker 1: So what does this mean? Well, now, let me let 395 00:27:45,040 --> 00:27:46,399 Speaker 1: me say that. I'll tell you what I think it 396 00:27:46,440 --> 00:27:47,440 Speaker 1: means when we get back. 397 00:27:47,520 --> 00:27:51,399 Speaker 2: Happy Brownhog's Day where Mike and Michael is going to 398 00:27:51,720 --> 00:27:54,200 Speaker 2: guarantee us six more weeks of dumb assery. 399 00:27:57,720 --> 00:28:00,760 Speaker 1: What is it that you If he said he's a shadow, 400 00:28:00,800 --> 00:28:01,880 Speaker 1: than springs around the corner. 401 00:28:02,119 --> 00:28:04,840 Speaker 2: No, No, if he sees his shadow, that means more winter. 402 00:28:05,440 --> 00:28:09,760 Speaker 1: So he saw his shadow in philadel or Pennsylvania. Yeah, 403 00:28:09,800 --> 00:28:11,920 Speaker 1: and why is it him? Why not the groundhog that's 404 00:28:11,960 --> 00:28:17,159 Speaker 1: somewhere else because he's famous. Oh so once again just 405 00:28:18,080 --> 00:28:21,800 Speaker 1: celebrity culture. Okay, all right, what does the Old Farmer's 406 00:28:21,840 --> 00:28:26,080 Speaker 1: Almanac tell us? Huh? 407 00:28:26,119 --> 00:28:26,560 Speaker 2: I don't know? 408 00:28:28,000 --> 00:28:30,760 Speaker 1: What is? What? What? What? What is? What does Dave 409 00:28:30,760 --> 00:28:32,800 Speaker 1: Fraser and all the people at KDVR. 410 00:28:32,400 --> 00:28:34,440 Speaker 2: Tell us we could certainly use the moisture? 411 00:28:35,040 --> 00:28:39,040 Speaker 1: I agree, I agree, and sucks to be a skier. 412 00:28:39,160 --> 00:28:42,200 Speaker 1: But if we hit the moisture, let it be rain, 413 00:28:44,320 --> 00:28:50,440 Speaker 1: not snow and ice or sleet was the whole documentary 414 00:28:50,480 --> 00:28:58,720 Speaker 1: political investment. For any other film, according to a rider 415 00:28:58,760 --> 00:29:02,680 Speaker 1: over at Frank, for any other film with seventy five 416 00:29:02,680 --> 00:29:05,640 Speaker 1: million dollars in cost and limited foreign potential, it would 417 00:29:05,640 --> 00:29:08,360 Speaker 1: be a problem. But this is a political investment, not 418 00:29:08,440 --> 00:29:11,280 Speaker 1: a for profit movie venture, and if it helps Amazon 419 00:29:11,360 --> 00:29:14,920 Speaker 1: with a regulatory taxation, tariff, or other government issue, then 420 00:29:15,000 --> 00:29:19,760 Speaker 1: it will pay back. But that timeline might be a 421 00:29:19,760 --> 00:29:23,440 Speaker 1: little damning because Amazon acquired the film in January twenty 422 00:29:23,480 --> 00:29:27,680 Speaker 1: twenty five, just last year, shortly after Bezos dined with 423 00:29:27,720 --> 00:29:32,120 Speaker 1: Trump at mar Lago. At the premiere, a New York 424 00:29:32,200 --> 00:29:36,800 Speaker 1: Times reporter asked Trump directly, Amazon paid seventy five million 425 00:29:36,840 --> 00:29:39,920 Speaker 1: dollars to make and market this film. Many Americans think 426 00:29:40,000 --> 00:29:42,200 Speaker 1: this is maybe Jeff Bezos trying to get in good 427 00:29:42,240 --> 00:29:44,160 Speaker 1: with you, and they would call it an act of 428 00:29:44,280 --> 00:29:48,880 Speaker 1: corporate corruption, to which Trump said, that's fake news. But 429 00:29:49,720 --> 00:29:56,040 Speaker 1: Amazon's business model doesn't need box office profitability. Their calculus 430 00:29:56,080 --> 00:30:01,920 Speaker 1: is about prime video subscriptions, ad sale, and probably most importantly, 431 00:30:02,600 --> 00:30:06,400 Speaker 1: regulatory goodwill with an administration that could but has given 432 00:30:06,440 --> 00:30:12,360 Speaker 1: no indication of impacting their business operations. Then all the 433 00:30:12,400 --> 00:30:17,080 Speaker 1: social media live up talking about all these organized efforts 434 00:30:17,160 --> 00:30:21,920 Speaker 1: try to boost attendance. Free popcorn at regal cinemas in 435 00:30:21,960 --> 00:30:26,840 Speaker 1: some places, uh, with commemoratory popcorn boxes. Well that's why 436 00:30:26,880 --> 00:30:28,800 Speaker 1: I want to keep hanging around the house. Is a 437 00:30:28,800 --> 00:30:33,920 Speaker 1: commemorative popcorn box after spinning, filled with buttery, greasy popcorn. 438 00:30:36,600 --> 00:30:40,880 Speaker 1: But six hundred thousand people actually bought tickets. The cinema 439 00:30:40,920 --> 00:30:43,000 Speaker 1: score and the post track numbers I gave you earlier, 440 00:30:43,200 --> 00:30:46,800 Speaker 1: those are actual attendees. Those are not online bots. So 441 00:30:46,960 --> 00:30:49,120 Speaker 1: the fact that eighty nine percent of the six hundred 442 00:30:49,160 --> 00:30:54,600 Speaker 1: thousand real people that went definite recommend that truly is extraordinary. 443 00:30:54,880 --> 00:30:57,080 Speaker 1: One story cooted a sixty year old guy from Staten 444 00:30:57,120 --> 00:30:59,520 Speaker 1: Island that told The New York Times he rarely goes 445 00:30:59,560 --> 00:31:02,680 Speaker 1: to theater that bought a ticket to see it. Quote 446 00:31:03,040 --> 00:31:08,200 Speaker 1: kick Hollywood's ass close quote. I think that's probably a 447 00:31:08,360 --> 00:31:13,680 Speaker 1: very real sentiment. Now, the film performed similarly to how 448 00:31:13,840 --> 00:31:18,880 Speaker 1: conservative documentaries have historically performed. It just had a bigger budget, 449 00:31:19,840 --> 00:31:23,000 Speaker 1: and my racists showed there's a hungry audience for a 450 00:31:23,200 --> 00:31:27,160 Speaker 1: counter narrative documentary that the cabal is going to ignore 451 00:31:27,320 --> 00:31:33,240 Speaker 1: or dismiss. I think the mainstream media was so convinced 452 00:31:33,240 --> 00:31:36,200 Speaker 1: that this would bomb that they essentially had already written 453 00:31:36,240 --> 00:31:40,440 Speaker 1: the obituary before the opening weekend. They already had screenshots 454 00:31:40,440 --> 00:31:43,600 Speaker 1: of empty theaters that became Twitter fodder. Well when and 455 00:31:43,640 --> 00:31:47,840 Speaker 1: where were those screenshots taken? And of course anybody had 456 00:31:47,840 --> 00:31:50,520 Speaker 1: a brain can see us coming. But the critics who 457 00:31:50,520 --> 00:31:52,880 Speaker 1: had to buy tickets to review it because it wasn't 458 00:31:52,920 --> 00:31:57,959 Speaker 1: pre screened, emerged with reviews that were so scathing that 459 00:31:58,080 --> 00:32:01,880 Speaker 1: I think they were just personally offended. Over at the Bulwark. 460 00:32:02,560 --> 00:32:06,160 Speaker 1: Sonny Bunch, no Trump fan called it fascinating to see 461 00:32:06,200 --> 00:32:09,520 Speaker 1: pure and naked an instrument of graft and propaganda deployed 462 00:32:09,520 --> 00:32:11,920 Speaker 1: the great effect on an audience happy to lap it up. 463 00:32:13,200 --> 00:32:16,680 Speaker 1: That's cultural condensation. That's not being a film critic. And 464 00:32:16,720 --> 00:32:20,960 Speaker 1: by the way, it just take that line and apply 465 00:32:21,120 --> 00:32:24,200 Speaker 1: to what we see fat to us by the networks 466 00:32:24,280 --> 00:32:28,960 Speaker 1: or the cables, or the newspapers or anybody else. Fascinating 467 00:32:29,000 --> 00:32:33,800 Speaker 1: to see so pure and naked, an instrument of graft 468 00:32:33,920 --> 00:32:38,360 Speaker 1: and propaganda deployed to great effect on an audience happy 469 00:32:38,400 --> 00:32:41,800 Speaker 1: to lap it up. Oh, let me just tune to 470 00:32:42,080 --> 00:32:47,240 Speaker 1: MS NOW, CNN, ABC, CBS, NBC, The New York Times 471 00:32:47,280 --> 00:32:51,240 Speaker 1: the Washington Post, the Los Angeles Times, I'll see the 472 00:32:51,280 --> 00:32:58,280 Speaker 1: same drivel, same thing. So bottom line is this is 473 00:32:58,320 --> 00:33:02,280 Speaker 1: not about a documentary in a tradition since and pretty 474 00:33:02,320 --> 00:33:05,600 Speaker 1: sure I right about that. Well, what's interesting is whether 475 00:33:05,600 --> 00:33:10,240 Speaker 1: it's a great documentary. It's what its existence, it's financing 476 00:33:10,320 --> 00:33:14,520 Speaker 1: its reception, and the gulf between critical and audience response 477 00:33:14,800 --> 00:33:19,320 Speaker 1: tells us all about one how corporate America's trying to 478 00:33:19,400 --> 00:33:25,280 Speaker 1: navigate the Trump era, and how completely bifurcated this country's 479 00:33:25,320 --> 00:33:30,080 Speaker 1: cultural consumption has become. And there's apparently an audience out 480 00:33:30,120 --> 00:33:36,040 Speaker 1: there that feels ignored or mocked by mainstream entertainment and media, 481 00:33:36,680 --> 00:33:42,240 Speaker 1: because I haven't heard one single word from anybody about 482 00:33:42,280 --> 00:33:46,560 Speaker 1: Bruce Springsteen writing the whatever that stupid song was that 483 00:33:46,600 --> 00:33:50,400 Speaker 1: he wrote about ice. And now his threat literally a 484 00:33:50,600 --> 00:33:54,960 Speaker 1: threat to keep writing songs anti Ice until they disappear 485 00:33:55,200 --> 00:33:56,120 Speaker 1: or get defunded. 486 00:33:56,720 --> 00:33:57,280 Speaker 2: Huh. 487 00:33:57,920 --> 00:34:01,440 Speaker 1: A bifurcated culture, absolutely