1 00:00:00,800 --> 00:00:03,720 Speaker 1: Hey, guys, ready or not, twenty twenty four is here, 2 00:00:03,920 --> 00:00:06,400 Speaker 1: and we here at breaking points, are already thinking of 3 00:00:06,440 --> 00:00:08,639 Speaker 1: ways we can up our game for this critical election. 4 00:00:08,840 --> 00:00:11,760 Speaker 1: We rely on our premium subs to expand coverage, upgrade 5 00:00:11,800 --> 00:00:15,160 Speaker 1: the studio ad staff give you, guys, the best independent 6 00:00:15,200 --> 00:00:17,400 Speaker 1: coverage that is possible. If you like what we're all about, 7 00:00:17,440 --> 00:00:19,520 Speaker 1: it means the absolute world to have your support. What 8 00:00:19,560 --> 00:00:22,720 Speaker 1: are you waiting for? Become a premium subscriber today? At breakingpoints, 9 00:00:22,760 --> 00:00:27,280 Speaker 1: dot com CNN is flailing. They got to figure it out. 10 00:00:27,360 --> 00:00:30,240 Speaker 1: The lowest ratings ever in modern history. So what do 11 00:00:30,280 --> 00:00:33,120 Speaker 1: they do? First? They have Bill Maher reruns I guess 12 00:00:33,440 --> 00:00:36,160 Speaker 1: for overtime that they're going to play Already, by the way, 13 00:00:36,320 --> 00:00:38,440 Speaker 1: Bill Maher already broke the rules by cursing, and he 14 00:00:38,520 --> 00:00:41,560 Speaker 1: was like, sorry, CNN, Well now they've got a new idea. 15 00:00:41,640 --> 00:00:44,279 Speaker 1: Let's put this up there on the screen. They are 16 00:00:44,360 --> 00:00:49,080 Speaker 1: looking to hire Charles Barkley to come on CNN, and 17 00:00:49,479 --> 00:00:51,279 Speaker 1: as much as I want to make fun of it, 18 00:00:51,640 --> 00:00:54,680 Speaker 1: I got to say it's not a terrible idea. Charles 19 00:00:54,800 --> 00:00:57,920 Speaker 1: is a compelling guy. He is fun to watch. The 20 00:00:57,920 --> 00:01:00,400 Speaker 1: only question is what does he belong? Why? Would he 21 00:01:00,440 --> 00:01:04,080 Speaker 1: belong on a news program for any reason whatsoever? Like, 22 00:01:04,120 --> 00:01:06,080 Speaker 1: are they just going full you know, I guess with 23 00:01:06,120 --> 00:01:07,880 Speaker 1: the comedian thing, even with Bill, I mean Bill has 24 00:01:07,920 --> 00:01:10,880 Speaker 1: been involved in public public affairs and events, political stuff 25 00:01:10,920 --> 00:01:14,280 Speaker 1: for basically his entire life. I mean, Charles is a 26 00:01:14,319 --> 00:01:18,800 Speaker 1: sports commentator, a very former, very successful professional athlete, pop 27 00:01:18,800 --> 00:01:21,280 Speaker 1: culture figure in his own right. But does he really 28 00:01:21,319 --> 00:01:23,360 Speaker 1: have something that he wants to say five nights a 29 00:01:23,400 --> 00:01:26,600 Speaker 1: week on CNN. Frankie would also be a demotion for 30 00:01:26,680 --> 00:01:29,880 Speaker 1: him because far more people probably watch his NBA broadcast. Yeah, 31 00:01:29,920 --> 00:01:33,840 Speaker 1: ever watch CNN? Yeah, I mean, Charles Barkley is hilarious. 32 00:01:34,200 --> 00:01:37,480 Speaker 1: If they did actually secure a primetime news show with 33 00:01:37,600 --> 00:01:41,160 Speaker 1: Charles Barkley, I would probably watch it. Yes, I actually 34 00:01:41,160 --> 00:01:44,800 Speaker 1: don't think it's a terrible idea in terms of audience interest. 35 00:01:45,880 --> 00:01:48,440 Speaker 1: Do I think there's any chance in hell that he 36 00:01:48,480 --> 00:01:51,760 Speaker 1: would do this? No way, maybe he might though he's 37 00:01:51,800 --> 00:01:55,320 Speaker 1: good on the camera. I mean, yeah, he already looked. 38 00:01:55,400 --> 00:01:58,360 Speaker 1: He already has a great gig where he makes millions. 39 00:01:59,280 --> 00:02:02,840 Speaker 1: Apparently they tried to lure him to be a commentator 40 00:02:02,880 --> 00:02:05,800 Speaker 1: for Live Golf. I mean it was like no, So, 41 00:02:06,000 --> 00:02:08,480 Speaker 1: I mean I forgot the Charles loves golf. He's got 42 00:02:08,480 --> 00:02:12,200 Speaker 1: a sweet gig where he's at. So I don't see this. 43 00:02:12,280 --> 00:02:15,720 Speaker 1: I don't see this one happening, but you know, as 44 00:02:15,720 --> 00:02:17,520 Speaker 1: one of the better ideas they put out there, just 45 00:02:17,560 --> 00:02:20,000 Speaker 1: in terms of sheer like entertainment value. Not that I 46 00:02:20,040 --> 00:02:21,960 Speaker 1: think that he'd have like, I think he'd have good 47 00:02:22,000 --> 00:02:24,160 Speaker 1: sort of like every man takes on politics, which is 48 00:02:24,240 --> 00:02:26,919 Speaker 1: kind of what he's to the extent he's waited into 49 00:02:26,960 --> 00:02:28,880 Speaker 1: politics in the past. That's kind of the vibe he's 50 00:02:28,919 --> 00:02:30,680 Speaker 1: given up. Well, that's where you reminded me of this 51 00:02:30,680 --> 00:02:32,480 Speaker 1: clip that we covered, which a lot of people were 52 00:02:32,520 --> 00:02:35,240 Speaker 1: really interested in at the time. Charles sounding off on politics. 53 00:02:35,320 --> 00:02:38,000 Speaker 1: Let's take a listen. I think most white people and 54 00:02:38,040 --> 00:02:41,200 Speaker 1: black people are great people. I really believe that in 55 00:02:41,240 --> 00:02:44,040 Speaker 1: my heart. But I think our system is set up 56 00:02:44,680 --> 00:02:48,760 Speaker 1: where our politicians, whether they are Republicans or Democrats, are 57 00:02:48,800 --> 00:02:51,520 Speaker 1: designed to make us not like each other so they 58 00:02:51,520 --> 00:02:56,000 Speaker 1: can keep their grasp of money and power. They divide 59 00:02:56,080 --> 00:02:59,000 Speaker 1: and conquer. I truly believe in my heart most white 60 00:02:59,000 --> 00:03:02,040 Speaker 1: people and black people are awesome people, but we're so 61 00:03:02,200 --> 00:03:06,360 Speaker 1: stupid following our politicians, whether they are Republicans or Democrats 62 00:03:06,880 --> 00:03:10,400 Speaker 1: and their only job is, Hey, let's make these people 63 00:03:10,440 --> 00:03:13,399 Speaker 1: not like each other. We don't live in their neighborhoods. 64 00:03:13,840 --> 00:03:16,960 Speaker 1: We all got money. Let's make the whites and blacks 65 00:03:17,000 --> 00:03:20,120 Speaker 1: not light like each other. Let's make rich people and 66 00:03:20,200 --> 00:03:24,079 Speaker 1: poor people not like each other. Let's let's scramble to 67 00:03:24,160 --> 00:03:28,880 Speaker 1: middle class. I truly believe that in my heart, Well said, 68 00:03:29,000 --> 00:03:31,280 Speaker 1: Ben true. What can I say? You know, I mean, 69 00:03:31,320 --> 00:03:33,440 Speaker 1: I should take this back. He has been political at 70 00:03:33,440 --> 00:03:36,000 Speaker 1: some point. I remember. I think he said he wanted 71 00:03:36,040 --> 00:03:38,920 Speaker 1: to run for the governor of Alabama and he had 72 00:03:38,960 --> 00:03:43,240 Speaker 1: like he had to establish residency. I believe he identified 73 00:03:43,320 --> 00:03:45,520 Speaker 1: as a Republican. I don't know if this identified at 74 00:03:45,560 --> 00:03:48,880 Speaker 1: the time he was. He called himself a Republican, and 75 00:03:48,920 --> 00:03:51,400 Speaker 1: I know he had some political aspirations at the time. 76 00:03:51,440 --> 00:03:53,360 Speaker 1: This was talked about, you know, years and years ago. 77 00:03:53,600 --> 00:03:55,920 Speaker 1: He hasn't talked about it in a long time, but hey, 78 00:03:55,960 --> 00:03:58,320 Speaker 1: maybe he should. Here we got at it. Charles Barkley 79 00:03:58,400 --> 00:04:01,040 Speaker 1: on running for Alabama government. He says he no longer 80 00:04:01,080 --> 00:04:03,480 Speaker 1: has any interest, but that implies that he did. At 81 00:04:03,480 --> 00:04:07,240 Speaker 1: one point. He said Democrats and Republicans are both full 82 00:04:07,240 --> 00:04:11,320 Speaker 1: of crap. So I think that's a sentiment that would 83 00:04:11,320 --> 00:04:14,080 Speaker 1: capture the hearts and minds of the majority of American people. 84 00:04:14,120 --> 00:04:17,320 Speaker 1: At this point, he says, they do nothing for actual people. 85 00:04:17,600 --> 00:04:20,279 Speaker 1: The Democrats and Republicans are both full of crap. You 86 00:04:20,360 --> 00:04:23,200 Speaker 1: see now with this pandemic, they aren't doing anything for 87 00:04:23,240 --> 00:04:26,159 Speaker 1: these people. So anyway, he says, I've been a Democrat 88 00:04:26,200 --> 00:04:28,080 Speaker 1: all my life. I just realized now they've done an 89 00:04:28,080 --> 00:04:29,960 Speaker 1: awful job taking care of poor people. They make the 90 00:04:29,960 --> 00:04:32,640 Speaker 1: same boasts every four years, come to the black community 91 00:04:32,680 --> 00:04:34,240 Speaker 1: and say they're going to make things better, but they 92 00:04:34,320 --> 00:04:37,000 Speaker 1: don't really make things better. I'm still a Democrat, but 93 00:04:37,040 --> 00:04:41,400 Speaker 1: I don't fall for stupidity. So anyway, would be interesting 94 00:04:41,400 --> 00:04:44,080 Speaker 1: and be fun to watch. If it happens, We'll see, guys, 95 00:04:44,120 --> 00:04:50,400 Speaker 1: another horrifying, nearly catastrophic airplane disaster that is just now 96 00:04:50,400 --> 00:04:52,320 Speaker 1: coming to light. Gun and put this up on the screen. 97 00:04:52,480 --> 00:04:55,280 Speaker 1: This is terrifying. The headline here from the Daily Mail 98 00:04:55,400 --> 00:05:00,000 Speaker 1: is every passenger's worst nightmare. United Airlines flight from Hawaii 99 00:05:00,000 --> 00:05:04,080 Speaker 1: I Eat to San Francisco nose dived fourteen hundred feet 100 00:05:04,120 --> 00:05:07,960 Speaker 1: during epic storm, came within seven hundred and seventy five 101 00:05:08,000 --> 00:05:13,600 Speaker 1: feet of the Pacific and terrifying forty five second ordeal. Insanely, 102 00:05:14,000 --> 00:05:15,719 Speaker 1: this had not come out because this happened a little 103 00:05:15,720 --> 00:05:17,520 Speaker 1: while ago, and actually I think happened on the same 104 00:05:17,640 --> 00:05:21,400 Speaker 1: day that Sagar there had been that other flight where 105 00:05:21,480 --> 00:05:25,320 Speaker 1: there was massive turbulence and a number of passengers were 106 00:05:25,360 --> 00:05:29,440 Speaker 1: injured fairly seriously, and so the thinking here is this 107 00:05:29,560 --> 00:05:32,520 Speaker 1: had to do also with the stormy conditions that were 108 00:05:32,520 --> 00:05:35,280 Speaker 1: prevailing that day. The other thing that's crazy is after 109 00:05:35,360 --> 00:05:38,520 Speaker 1: it landed in San Francisco, they like inspected the plane 110 00:05:38,520 --> 00:05:40,159 Speaker 1: and then it flew again with that I think the 111 00:05:40,160 --> 00:05:42,719 Speaker 1: same grow and whatever. So that's kind of crazy as well. 112 00:05:42,920 --> 00:05:46,159 Speaker 1: It's also wild that we're only now learning about it. 113 00:05:46,240 --> 00:05:48,520 Speaker 1: Nobody tweeted about it or had a video of it 114 00:05:48,760 --> 00:05:53,960 Speaker 1: or whatever. But the details here are terrifying. They say 115 00:05:54,000 --> 00:05:57,600 Speaker 1: that the gravitational forces, like the g forces that they 116 00:05:57,640 --> 00:06:00,880 Speaker 1: were facing, were extremely so they say it was in 117 00:06:00,960 --> 00:06:03,400 Speaker 1: between radio calls with the air traffic controllers and Malley 118 00:06:03,640 --> 00:06:07,440 Speaker 1: throughout the forty five second dive, the climb produced forces 119 00:06:07,440 --> 00:06:10,159 Speaker 1: of nearly two point seven times the force of gravity 120 00:06:10,160 --> 00:06:13,320 Speaker 1: on the aircraft and its oucumants that's used to describe 121 00:06:13,360 --> 00:06:16,039 Speaker 1: the acceleration of an object relative to Earth's gravity, and 122 00:06:16,200 --> 00:06:19,760 Speaker 1: upwards acceleration of about five g's is enough to overwhelm 123 00:06:19,800 --> 00:06:21,839 Speaker 1: the ability of your heart to pump blood to your brain. 124 00:06:22,240 --> 00:06:25,400 Speaker 1: Causes oxygen starvation. You'll black out within a few seconds. 125 00:06:25,440 --> 00:06:28,480 Speaker 1: But a downward or negative G force of the type 126 00:06:28,480 --> 00:06:30,479 Speaker 1: that you would get in like this nose dive is 127 00:06:30,560 --> 00:06:32,840 Speaker 1: even worse. The blood pools in your head, your face 128 00:06:32,880 --> 00:06:35,360 Speaker 1: swells up, your lower eyelids are forced over your eyes. 129 00:06:35,440 --> 00:06:38,159 Speaker 1: This is called redoubt because all you see is the 130 00:06:38,200 --> 00:06:40,919 Speaker 1: light shining through your eyelid lids. At negative three G, 131 00:06:41,040 --> 00:06:43,640 Speaker 1: the blood can't get back to your loves to reoxygen eight, 132 00:06:43,720 --> 00:06:46,400 Speaker 1: so you pass out. So this is a crazy situation. 133 00:06:46,640 --> 00:06:51,200 Speaker 1: They came within seven hundred feet of smashing into crashing 134 00:06:51,240 --> 00:06:54,919 Speaker 1: into the ocean, which obviously would have been probably killed 135 00:06:54,920 --> 00:06:58,280 Speaker 1: everybody on a ward. And it also comes on the 136 00:06:58,320 --> 00:07:01,520 Speaker 1: heels of we've had a number of these near misses 137 00:07:01,600 --> 00:07:06,120 Speaker 1: or actual catastrophes in the past number of days and weeks. 138 00:07:06,440 --> 00:07:09,560 Speaker 1: You have planes that are almost running into other planes 139 00:07:09,640 --> 00:07:13,280 Speaker 1: on takeoff. You had a plane actually hit a passenger 140 00:07:13,320 --> 00:07:15,840 Speaker 1: bus that was there on the tarmac. So I don't 141 00:07:15,880 --> 00:07:18,040 Speaker 1: know what's going on. Soccer I don't know either. I mean, 142 00:07:18,040 --> 00:07:21,200 Speaker 1: it's pretty scary. You know, they were only at two 143 00:07:21,600 --> 00:07:23,920 Speaker 1: two hundred feet before they dove, and they say it 144 00:07:23,960 --> 00:07:27,200 Speaker 1: was at eighty six hundred feet per minute, which is terrifying. 145 00:07:27,240 --> 00:07:29,720 Speaker 1: And yeah, I mean the aviation industry. Actually, what concerns 146 00:07:29,760 --> 00:07:32,840 Speaker 1: me is that the flight then lands in San Francisco 147 00:07:33,000 --> 00:07:35,680 Speaker 1: and then it takes off two hours later, and United 148 00:07:35,720 --> 00:07:38,520 Speaker 1: said that they had closely coordinated with the FAA and 149 00:07:38,880 --> 00:07:42,240 Speaker 1: inspected the plane, you know, right before takeoff. I don't know, man, 150 00:07:42,440 --> 00:07:43,760 Speaker 1: I'm not you know, I don't know if I would 151 00:07:43,760 --> 00:07:45,480 Speaker 1: want to go and find if you even known that 152 00:07:45,760 --> 00:07:49,720 Speaker 1: had just happened. No, And look, the other actually even 153 00:07:49,760 --> 00:07:52,000 Speaker 1: scarier thing is that there was nothing wrong with the 154 00:07:52,000 --> 00:07:55,080 Speaker 1: plane and it was pilot error, which is even more terrifying, right, 155 00:07:55,680 --> 00:07:58,560 Speaker 1: which you know I've read. I have a weird fascination 156 00:07:58,640 --> 00:08:01,520 Speaker 1: with plane crashes, studied a lot on that Air France 157 00:08:01,520 --> 00:08:03,800 Speaker 1: crash that people will remember that that one was nuts 158 00:08:03,800 --> 00:08:05,920 Speaker 1: because it was also in bad weather and it was 159 00:08:06,160 --> 00:08:08,800 Speaker 1: pure pilot error where they crashed right into the ocean. 160 00:08:08,840 --> 00:08:11,440 Speaker 1: I think it was like a Brazil to Paris flight, 161 00:08:11,600 --> 00:08:14,280 Speaker 1: one hundred percent pilot error and it's one that people 162 00:08:14,320 --> 00:08:16,480 Speaker 1: study a lot in terms of getting dragged away from 163 00:08:16,480 --> 00:08:20,200 Speaker 1: your sensors or fixating too much on some things. And yeah, 164 00:08:20,440 --> 00:08:22,360 Speaker 1: I don't know. I mean from reading on this, the 165 00:08:22,400 --> 00:08:24,280 Speaker 1: fact is is that if the plane did take off 166 00:08:24,280 --> 00:08:26,360 Speaker 1: and it was cleared from a safety inspection, then that's 167 00:08:26,360 --> 00:08:28,640 Speaker 1: even scarier because that means that there was a human 168 00:08:29,280 --> 00:08:32,400 Speaker 1: situation involved. And I just want to know what's going 169 00:08:32,440 --> 00:08:34,719 Speaker 1: on with those pilots right now today. Yeah, well, so 170 00:08:34,760 --> 00:08:37,960 Speaker 1: you had the you have this, which seven hundred feet 171 00:08:38,000 --> 00:08:39,760 Speaker 1: in the ocean is not a lot of feet, guys. 172 00:08:39,800 --> 00:08:42,880 Speaker 1: I mean this was a close close call. You had 173 00:08:42,920 --> 00:08:47,240 Speaker 1: the near miss at JFK of two planes almost colliding. 174 00:08:47,440 --> 00:08:49,839 Speaker 1: You had near miss at Austin actually the very day 175 00:08:49,840 --> 00:08:52,400 Speaker 1: that we were flying out Awsome that morning, but no 176 00:08:52,440 --> 00:08:54,280 Speaker 1: it us I flew off and I took off an 177 00:08:54,320 --> 00:08:58,120 Speaker 1: hour later. Yeah, there was a near miss. Go ahead 178 00:08:58,160 --> 00:09:00,840 Speaker 1: and throw out this this graphic. You could see. This 179 00:09:00,880 --> 00:09:03,600 Speaker 1: is what the flight trajectory of this one with the 180 00:09:03,640 --> 00:09:07,000 Speaker 1: nosedive looked like. Where they came within eight hundred feet, 181 00:09:07,240 --> 00:09:11,520 Speaker 1: so steep, steep descent rate and then a steep after 182 00:09:11,559 --> 00:09:14,520 Speaker 1: that climb rate and coming within seven hundred and seventy 183 00:09:14,520 --> 00:09:17,840 Speaker 1: five feet of the ocean. They talked to an aviation expert, 184 00:09:17,920 --> 00:09:20,120 Speaker 1: a pilot by the name of Juan Brown. He said, 185 00:09:20,160 --> 00:09:23,040 Speaker 1: these sorts of incidents are increasing at an alarming rate. 186 00:09:23,679 --> 00:09:26,160 Speaker 1: He talks about there's a huge turnover in the industry, 187 00:09:26,200 --> 00:09:31,560 Speaker 1: not only among pilots, but also amongst air traffic controllers, mechanics, mats. 188 00:09:31,640 --> 00:09:33,640 Speaker 1: I don't know what that is, rampers, and with the 189 00:09:33,679 --> 00:09:36,320 Speaker 1: state of hiring practices and training today, in the relentless 190 00:09:36,320 --> 00:09:38,520 Speaker 1: effort to do things faster, cheaper, and more efficiently, we're 191 00:09:38,600 --> 00:09:41,280 Speaker 1: just one radio call away from having the biggest aviation 192 00:09:41,400 --> 00:09:45,480 Speaker 1: disaster in history. And apparently both the JFK and the 193 00:09:45,520 --> 00:09:49,640 Speaker 1: Austin incidents experts have said directions that were issued by 194 00:09:49,679 --> 00:09:52,440 Speaker 1: air traffic controllers appear to have been an issue. So 195 00:09:52,480 --> 00:09:55,600 Speaker 1: you've got pilot issues here, you've got air traffic control issues, 196 00:09:55,880 --> 00:09:58,520 Speaker 1: and you have the overlying element of like you know, 197 00:09:58,640 --> 00:10:02,840 Speaker 1: corporate greed, probably push people too hard, and massive industry turnovers. 198 00:10:02,920 --> 00:10:11,040 Speaker 1: So scary, scary, scary situation. It certainly is some major 199 00:10:11,120 --> 00:10:13,520 Speaker 1: news out of Twitter, not actually major, just more amusing. 200 00:10:13,600 --> 00:10:16,400 Speaker 1: Let's get this up there on the screen. Apparently Elon 201 00:10:16,480 --> 00:10:20,800 Speaker 1: Musk has designed a special system, according to Twitter insiders, 202 00:10:20,800 --> 00:10:24,640 Speaker 1: that will actually boost his tweets first, after Joe Biden's 203 00:10:24,679 --> 00:10:27,960 Speaker 1: Super Bowl post got more engagement than his. This comes 204 00:10:28,000 --> 00:10:31,600 Speaker 1: after some reported discontent by Elon from inside the company, 205 00:10:31,640 --> 00:10:34,480 Speaker 1: who was worrying about why his impressions had gone down 206 00:10:34,559 --> 00:10:36,760 Speaker 1: after an engineer actually told him that it was because 207 00:10:36,840 --> 00:10:40,040 Speaker 1: organic interest in Elon sweets went down. He fired one 208 00:10:40,080 --> 00:10:42,720 Speaker 1: of the engineers who told him that, and has created 209 00:10:42,760 --> 00:10:45,120 Speaker 1: now a special system. So, I mean, I don't know, 210 00:10:45,240 --> 00:10:46,960 Speaker 1: Chris Well, I guess we could all sympathize with If 211 00:10:47,000 --> 00:10:48,640 Speaker 1: you're going to own a platform, you might as well 212 00:10:48,640 --> 00:10:52,880 Speaker 1: boost your own message, right if I owned you too. 213 00:10:53,000 --> 00:10:55,199 Speaker 1: If I owned you too, would sweet to us. I 214 00:10:55,240 --> 00:10:59,079 Speaker 1: would definitely boost breaking points friends over here. I guess 215 00:10:59,120 --> 00:11:01,520 Speaker 1: I have some sympathy with that. But I think it 216 00:11:01,640 --> 00:11:03,240 Speaker 1: just does show you, you know, some of the more 217 00:11:03,280 --> 00:11:06,360 Speaker 1: capriciousness that continues, because I mean, even the whole way 218 00:11:06,360 --> 00:11:09,520 Speaker 1: that this went down. At two thirty six on Monday morning, 219 00:11:09,960 --> 00:11:13,480 Speaker 1: James Musk sent an urgent message to Twitter engineers, we 220 00:11:13,559 --> 00:11:17,320 Speaker 1: are debugging an issue with engagement across the platform. This 221 00:11:17,400 --> 00:11:19,840 Speaker 1: is the cousin of Elon. He says, any people who 222 00:11:19,880 --> 00:11:22,000 Speaker 1: can make dashboards and write software police helps oflf thise 223 00:11:22,000 --> 00:11:25,120 Speaker 1: problems higher urgency bleary eyed engineers. If we log onto 224 00:11:25,160 --> 00:11:28,560 Speaker 1: their laptops, the emergency becomes clear. Elon's tweet about Super 225 00:11:28,559 --> 00:11:31,240 Speaker 1: Bowl got less engagement than Biden's, so in the wake 226 00:11:31,280 --> 00:11:35,520 Speaker 1: of these losses, the CFO actually got people who are 227 00:11:35,520 --> 00:11:38,720 Speaker 1: inside of the company to boost and change the Twitter 228 00:11:38,760 --> 00:11:41,400 Speaker 1: algorithm to boost more of his tweets and include them 229 00:11:41,400 --> 00:11:44,240 Speaker 1: on the for you page for everyone. So I personally 230 00:11:44,240 --> 00:11:45,760 Speaker 1: just find it very amusing. It is, I mean, the 231 00:11:45,800 --> 00:11:48,120 Speaker 1: whole thing is amusing. The first piece that broke was 232 00:11:48,160 --> 00:11:50,480 Speaker 1: like how upset he was that his tweets weren't getting 233 00:11:50,480 --> 00:11:52,640 Speaker 1: as much engagement, and he thought like, oh, there must 234 00:11:52,679 --> 00:11:55,120 Speaker 1: be a problem very deep in the algorithm. That's like 235 00:11:55,160 --> 00:11:59,040 Speaker 1: suppressing my tweets. And when an engineer broke it to him, 236 00:11:59,040 --> 00:12:01,120 Speaker 1: that just looked You're just not as hot as you 237 00:12:01,240 --> 00:12:03,400 Speaker 1: used to be, which is normal, and that like there 238 00:12:03,480 --> 00:12:07,959 Speaker 1: was a whole whole news cycle Elon newscycle where people 239 00:12:07,960 --> 00:12:09,800 Speaker 1: were hanging on as every word and all kinds of 240 00:12:09,800 --> 00:12:12,280 Speaker 1: news stories were written about every little thing that he 241 00:12:12,360 --> 00:12:15,160 Speaker 1: uttered on Twitter, like Okay, that moment has passed. That 242 00:12:15,240 --> 00:12:17,960 Speaker 1: is a natural ebb and flow, But I mean outrageously 243 00:12:17,960 --> 00:12:19,880 Speaker 1: he fires the engineer who told him the truth, which 244 00:12:19,920 --> 00:12:22,000 Speaker 1: is no way ready to run any place, and you 245 00:12:22,080 --> 00:12:23,600 Speaker 1: just end up surrounded by a bunch of yes men 246 00:12:23,640 --> 00:12:25,040 Speaker 1: who are going to tell you whatever you want to hear. 247 00:12:25,120 --> 00:12:26,959 Speaker 1: That's number one, But number two, I mean it is 248 00:12:27,040 --> 00:12:28,720 Speaker 1: kind of hilarious that he then made it a top 249 00:12:28,760 --> 00:12:31,960 Speaker 1: priority for them to rig the algorithms promote his stuff 250 00:12:32,120 --> 00:12:34,920 Speaker 1: at two in the morning. Yes, that's also a crisis 251 00:12:34,960 --> 00:12:38,320 Speaker 1: for me. Listen, if you weren't presenting your leadership of 252 00:12:38,360 --> 00:12:41,319 Speaker 1: Twitter as like some free speech you know, beacon of 253 00:12:41,360 --> 00:12:44,920 Speaker 1: free speech and free speech safe art. Because using the 254 00:12:45,000 --> 00:12:49,200 Speaker 1: algorithm to rig the results and promote certain people over 255 00:12:49,280 --> 00:12:52,080 Speaker 1: other people, it's consistent with what he said about freedom 256 00:12:52,120 --> 00:12:54,720 Speaker 1: of speech, not freedom of reach. But it is equally 257 00:12:54,800 --> 00:12:58,760 Speaker 1: as gamed and manipulated as active like censorship and active 258 00:12:58,840 --> 00:13:01,440 Speaker 1: banning and blocking. In some way, it's more nefarious because 259 00:13:01,440 --> 00:13:04,600 Speaker 1: it's harder. There's no transparency around it, Like you can 260 00:13:04,640 --> 00:13:07,000 Speaker 1: tell if you've been kicked off the platform, and you 261 00:13:07,000 --> 00:13:08,760 Speaker 1: can say something about it, and you can try to 262 00:13:08,800 --> 00:13:11,400 Speaker 1: call awareness to it, but there's no way to know 263 00:13:11,559 --> 00:13:15,120 Speaker 1: who's being pumped and who's being suppressed, and everybody ends 264 00:13:15,200 --> 00:13:17,640 Speaker 1: up just with their own little like conspiracy theories about 265 00:13:17,640 --> 00:13:19,960 Speaker 1: what exactly is going on with the algorithm. So the 266 00:13:19,960 --> 00:13:22,120 Speaker 1: best way to handle this would be to have it 267 00:13:22,200 --> 00:13:24,280 Speaker 1: go back to being a neutral platform where it's just 268 00:13:24,320 --> 00:13:26,680 Speaker 1: like here's your timeline and the tweets come up in order, 269 00:13:27,559 --> 00:13:30,120 Speaker 1: or at the very least, which I think is something. 270 00:13:30,160 --> 00:13:32,560 Speaker 1: Didn't he saga promise that there will be transparency around 271 00:13:32,559 --> 00:13:35,559 Speaker 1: the way the algorithm word, at the very least, have 272 00:13:35,679 --> 00:13:39,959 Speaker 1: it really clear and public how these things are ultimately operating. 273 00:13:40,040 --> 00:13:42,640 Speaker 1: But those are not promises that he has followed. Yeah, 274 00:13:42,760 --> 00:13:45,800 Speaker 1: follow through on today, I certainly hope. So all right, 275 00:13:45,840 --> 00:13:51,080 Speaker 1: all right, Marpy yell later. So we got an interesting 276 00:13:51,160 --> 00:13:54,720 Speaker 1: little lesson, I would say, in the art and impact 277 00:13:54,840 --> 00:13:57,000 Speaker 1: of actual governance. Let's just go ahead and put this 278 00:13:57,120 --> 00:14:01,480 Speaker 1: up on the screen. So Bernie Sanders threatened to have 279 00:14:01,679 --> 00:14:05,880 Speaker 1: the CEO of Maderna forced to come and testify. Bernie 280 00:14:05,920 --> 00:14:09,280 Speaker 1: is now chair of the Health Labor Pension Education Labor 281 00:14:09,320 --> 00:14:12,280 Speaker 1: Pension Committee, and so as part of his chairmanship, he 282 00:14:12,320 --> 00:14:14,640 Speaker 1: has been calling a number of corporate CEOs on the 283 00:14:14,679 --> 00:14:18,160 Speaker 1: carpet and calling them to come testify. Well, lo and behold. 284 00:14:18,920 --> 00:14:21,760 Speaker 1: Just after he does this, Maderna is now saying, oh, 285 00:14:21,800 --> 00:14:24,480 Speaker 1: we're going to keep our COVID vaccine free after all. 286 00:14:24,680 --> 00:14:26,480 Speaker 1: Previously they said they were going to jack up the 287 00:14:26,480 --> 00:14:28,160 Speaker 1: price by four hundred percent. Let's go and put this 288 00:14:28,240 --> 00:14:31,000 Speaker 1: up on the screen what they were saying previously. Maderna 289 00:14:31,000 --> 00:14:33,800 Speaker 1: may raise COVID nineteen vaccine prices up to one hundred 290 00:14:33,840 --> 00:14:36,800 Speaker 1: and thirty dollars. That is roughly four hundred percent increase. 291 00:14:37,040 --> 00:14:40,280 Speaker 1: Bernie Sanders calls it outrageous and zaccher. This is something 292 00:14:40,280 --> 00:14:43,080 Speaker 1: we've been talking about for a while. One of the 293 00:14:43,120 --> 00:14:46,800 Speaker 1: greatest powers of the Senate chairmanships of the President of 294 00:14:46,840 --> 00:14:50,360 Speaker 1: the United States is the power of a good public shaming. 295 00:14:50,680 --> 00:14:53,240 Speaker 1: You know, when these corporations, as they continue to do 296 00:14:53,880 --> 00:14:58,040 Speaker 1: jack up prices and contribute to inflation and give themselves 297 00:14:58,040 --> 00:15:02,400 Speaker 1: and their shareholders these big bonuses and pay them out 298 00:15:02,480 --> 00:15:05,160 Speaker 1: and screw over their workers. One thing that you can 299 00:15:05,200 --> 00:15:08,120 Speaker 1: do outside of regulation is force them, subpoena them and 300 00:15:08,160 --> 00:15:11,720 Speaker 1: force them to come and faced questions. They don't want 301 00:15:11,760 --> 00:15:15,800 Speaker 1: to do that, and so oftentimes just the threat of 302 00:15:15,880 --> 00:15:20,120 Speaker 1: any sort of like public accountability and shaming can force 303 00:15:20,360 --> 00:15:22,800 Speaker 1: some sort of action on them. We saw this when 304 00:15:23,000 --> 00:15:25,520 Speaker 1: Joe Biden very briefly, remember when he went after the 305 00:15:25,840 --> 00:15:30,440 Speaker 1: meat packers for jacking up prices. He made comments about it, 306 00:15:30,520 --> 00:15:33,760 Speaker 1: issued a White House statement about it, and lo and behold, 307 00:15:33,920 --> 00:15:36,880 Speaker 1: right after that, meat prices went down a bit. Just 308 00:15:37,120 --> 00:15:40,240 Speaker 1: this power to call CEOs on the corporate on the 309 00:15:40,280 --> 00:15:43,920 Speaker 1: carpet and force them to answer for their crimes and 310 00:15:43,960 --> 00:15:47,840 Speaker 1: their outrageous behavior sometimes can be as powerful as anything else. Yeah. 311 00:15:47,680 --> 00:15:49,800 Speaker 1: To the thing I have never understood on this is 312 00:15:49,840 --> 00:15:52,200 Speaker 1: like who is still taking the COVID vaccine? Like who 313 00:15:52,240 --> 00:15:54,520 Speaker 1: do you even charge for it? Is it the government? 314 00:15:54,680 --> 00:15:57,560 Speaker 1: Like in terms of keeping it freeze like future boosters 315 00:15:57,560 --> 00:16:00,280 Speaker 1: because they're already free as I understand it, That was 316 00:16:00,320 --> 00:16:03,200 Speaker 1: one part where I'm not entirely clear on, like why 317 00:16:03,240 --> 00:16:05,240 Speaker 1: this is even a skin Well, I think wants it 318 00:16:05,280 --> 00:16:06,600 Speaker 1: at this point If you're not going to take it, 319 00:16:06,600 --> 00:16:08,320 Speaker 1: you're clearly not going to take it. Yeah, Well, I 320 00:16:08,360 --> 00:16:11,960 Speaker 1: think the government funding for this for to continue to 321 00:16:12,000 --> 00:16:14,000 Speaker 1: be free is about to run out, and so they 322 00:16:14,000 --> 00:16:17,160 Speaker 1: were going to be charging either health insurance or individuals 323 00:16:17,280 --> 00:16:20,720 Speaker 1: this like outrageously jacked up price. So okay, Yeah, So 324 00:16:21,120 --> 00:16:24,920 Speaker 1: It's a perfect example though. I mean, it's just insane 325 00:16:25,080 --> 00:16:28,080 Speaker 1: greed from these companies who have already made so much 326 00:16:28,120 --> 00:16:32,040 Speaker 1: money off of these vaccines guaranteed backstop by the US government, 327 00:16:32,120 --> 00:16:34,960 Speaker 1: off of research that we developed, off of a process 328 00:16:35,000 --> 00:16:38,000 Speaker 1: and operation warp Speed, which was a great success under 329 00:16:38,040 --> 00:16:39,600 Speaker 1: President Trump. I mean, the way they moved heaven a 330 00:16:39,680 --> 00:16:43,160 Speaker 1: nerd to get these things developed and out to the public. 331 00:16:43,480 --> 00:16:46,000 Speaker 1: But you know a lot of government resources went into this, 332 00:16:46,080 --> 00:16:47,760 Speaker 1: and they just want to continue to try to milk 333 00:16:47,800 --> 00:16:49,880 Speaker 1: this thing for everything it's worth. Yeah, I mean, really 334 00:16:49,880 --> 00:16:51,800 Speaker 1: what needs to be done is that they shouldn't even 335 00:16:51,800 --> 00:16:53,400 Speaker 1: have patent or any of this stuff on it, and 336 00:16:53,440 --> 00:16:55,160 Speaker 1: a lot of it should be much more open to 337 00:16:55,360 --> 00:16:58,520 Speaker 1: absolutely research and all of that. That's the biggest problem, yes, 338 00:16:58,720 --> 00:17:00,760 Speaker 1: I have with this. Okay, all right, we'll keep it 339 00:17:00,800 --> 00:17:03,360 Speaker 1: free for everybody who wants it. I don't really know 340 00:17:03,440 --> 00:17:05,640 Speaker 1: he's still taking it, but go for it. Yeah. Well, 341 00:17:05,680 --> 00:17:09,080 Speaker 1: you know, Bernie has also I know he wants Starbucks 342 00:17:09,119 --> 00:17:12,639 Speaker 1: CEO Howard Schultz to testify because Starbucks has been engaged 343 00:17:12,680 --> 00:17:15,760 Speaker 1: in this just like utterly lawless behavior with regards to 344 00:17:15,880 --> 00:17:19,000 Speaker 1: union busting, with the grassroots union drive that has swept 345 00:17:19,000 --> 00:17:22,440 Speaker 1: across the country at Starbucks stores, and you know, those 346 00:17:22,480 --> 00:17:24,720 Speaker 1: sorts of things that they can be very they can 347 00:17:24,760 --> 00:17:28,000 Speaker 1: be a very powerful tool. And I'm certainly looking forward 348 00:17:28,040 --> 00:17:29,639 Speaker 1: to see some of these people have to answer for 349 00:17:29,680 --> 00:17:32,000 Speaker 1: what they've been up to. Definitely, all right, y'all, more 350 00:17:32,000 --> 00:17:37,520 Speaker 1: for you guys later. The New York Times this week 351 00:17:37,600 --> 00:17:42,280 Speaker 1: dug into a universal basic income program playing out outside 352 00:17:42,320 --> 00:17:45,840 Speaker 1: of Chicago, in which they're giving five hundred dollars a 353 00:17:45,920 --> 00:17:49,680 Speaker 1: month to residents to test what that does for economic security, 354 00:17:49,680 --> 00:17:53,720 Speaker 1: for satisfaction, for quality of life, et cetera. Shockingly, they're 355 00:17:53,760 --> 00:17:59,040 Speaker 1: finding people like it. Emily, what is your general take 356 00:17:59,560 --> 00:18:04,560 Speaker 1: on on UBI and how is there a faction of 357 00:18:04,560 --> 00:18:06,680 Speaker 1: the right that is, like, you know what, maybe there, 358 00:18:06,920 --> 00:18:09,439 Speaker 1: I mean, maybe there is a place for this. It 359 00:18:09,480 --> 00:18:12,320 Speaker 1: has its origins as as I'm sure you know, kind 360 00:18:12,359 --> 00:18:16,639 Speaker 1: of in the kind of Alan Greenspan world so it 361 00:18:16,880 --> 00:18:20,800 Speaker 1: or Milton Friedman, you know, as there was this kind 362 00:18:20,800 --> 00:18:23,639 Speaker 1: of libertarian right that believed if you give everybody a 363 00:18:23,760 --> 00:18:27,760 Speaker 1: very basic level of income, that that would allow a 364 00:18:27,800 --> 00:18:30,639 Speaker 1: lot more human flourishing. But where is that now when 365 00:18:30,720 --> 00:18:35,080 Speaker 1: it comes to the right. Yeah, you know, a great 366 00:18:35,320 --> 00:18:38,400 Speaker 1: example or a great illustration of the arc is when 367 00:18:38,480 --> 00:18:42,720 Speaker 1: Senator Romney introduced the Child Allowance Bill that was basically 368 00:18:42,840 --> 00:18:45,159 Speaker 1: cash payments to the extent that I mean, there were 369 00:18:45,280 --> 00:18:49,200 Speaker 1: very very generous cash payments to parents from the womb 370 00:18:49,240 --> 00:18:52,400 Speaker 1: all the way up to eighteen years of age, depending 371 00:18:52,400 --> 00:18:56,160 Speaker 1: on your number of children, and that immediately got sort 372 00:18:56,160 --> 00:18:58,879 Speaker 1: of yanked. It was criticized by Marco Rubio tech Cruz 373 00:18:58,920 --> 00:19:01,399 Speaker 1: and others because it didn't have a work requirement. So 374 00:19:01,520 --> 00:19:04,159 Speaker 1: Mitt Romney reintroduced something that had a ten thousand dollars 375 00:19:04,200 --> 00:19:08,680 Speaker 1: annual work requirement. And so I think the right, even 376 00:19:08,720 --> 00:19:12,000 Speaker 1: the New Right, you know, as illustrated by the arc 377 00:19:12,080 --> 00:19:16,160 Speaker 1: of the Romney Bill, is very wary of anything that 378 00:19:16,280 --> 00:19:20,280 Speaker 1: doesn't include a work requirement or that doesn't sort of 379 00:19:20,560 --> 00:19:23,480 Speaker 1: and I know there are ways to do ubi that 380 00:19:23,560 --> 00:19:27,320 Speaker 1: might get around that job training and other things like that. 381 00:19:27,440 --> 00:19:31,520 Speaker 1: But I'm really curious about these experiments because they're happening 382 00:19:31,640 --> 00:19:34,159 Speaker 1: all over the country. I think there's one happening in 383 00:19:34,280 --> 00:19:39,240 Speaker 1: Arlington or Alexandria. Right outside of DC. There are cities 384 00:19:39,359 --> 00:19:42,640 Speaker 1: municipalities that are experimenting with this, and I am genuinely 385 00:19:42,680 --> 00:19:45,600 Speaker 1: curious about the results. Although I also think they suffer 386 00:19:45,640 --> 00:19:49,240 Speaker 1: from a problem that over the COVID period when there 387 00:19:49,320 --> 00:19:52,840 Speaker 1: was a very generous cash allowance for parents as well, 388 00:19:52,920 --> 00:19:55,800 Speaker 1: that we talked about a couple of times, Ryan that 389 00:19:55,920 --> 00:19:58,960 Speaker 1: found it. It It basically immediately alleviated chob poverty. It had 390 00:19:58,960 --> 00:20:02,360 Speaker 1: a huge fact on quality of life, Like right out 391 00:20:02,359 --> 00:20:04,960 Speaker 1: of the gate. I get worried about sort of not 392 00:20:05,000 --> 00:20:08,640 Speaker 1: being able to measure possible long term ramifications of that 393 00:20:08,840 --> 00:20:11,960 Speaker 1: in the way that you and I would probably disagree 394 00:20:11,960 --> 00:20:15,719 Speaker 1: over some great society programs. It sort of did well 395 00:20:15,920 --> 00:20:17,760 Speaker 1: and then or seemed like they were doing well, and 396 00:20:17,760 --> 00:20:20,480 Speaker 1: then over time we've had maybe a different perspective on them. 397 00:20:20,880 --> 00:20:23,240 Speaker 1: So that's one of these are some of the limitations 398 00:20:23,280 --> 00:20:26,879 Speaker 1: I see when looking at these experiments. But I mean, 399 00:20:26,920 --> 00:20:30,560 Speaker 1: I'm completely open minded to the results. And I started 400 00:20:30,560 --> 00:20:33,240 Speaker 1: out saying outside of Chicago. For some stupid reason, it's 401 00:20:33,280 --> 00:20:35,040 Speaker 1: it's in Chicago. I don't know, I don't know why 402 00:20:35,040 --> 00:20:38,520 Speaker 1: I said that. I wanted to read one one quote 403 00:20:38,560 --> 00:20:41,520 Speaker 1: quote from this guy, Christopher Ellington from the New York 404 00:20:41,560 --> 00:20:45,000 Speaker 1: Times story. He said, talk about shock, and this goes 405 00:20:45,040 --> 00:20:46,280 Speaker 1: to one of the things you were saying. It was 406 00:20:46,320 --> 00:20:48,840 Speaker 1: like he said, it was, Hey, the government is doing this. 407 00:20:49,040 --> 00:20:51,040 Speaker 1: Wait a minute, I don't have to you know, report 408 00:20:51,119 --> 00:20:53,160 Speaker 1: this and report that. You don't have to go through 409 00:20:53,200 --> 00:20:55,320 Speaker 1: all of my business, and I don't have to watch 410 00:20:55,320 --> 00:20:57,520 Speaker 1: what I say. I was like, this is how it 411 00:20:57,600 --> 00:20:59,800 Speaker 1: should be. And so it does go back to this 412 00:20:59,840 --> 00:21:03,040 Speaker 1: thing where people people are now just a tuned or 413 00:21:03,040 --> 00:21:05,680 Speaker 1: accustomed to the fact that if they're going to get 414 00:21:05,720 --> 00:21:08,600 Speaker 1: anything from the government, which our government, the thing that 415 00:21:08,640 --> 00:21:12,119 Speaker 1: we all kick into and which is which is ours democratically, 416 00:21:12,320 --> 00:21:14,840 Speaker 1: that they expect they're going to be harassed and humiliated 417 00:21:15,040 --> 00:21:17,520 Speaker 1: and controlled. If they're going to try to control what 418 00:21:17,560 --> 00:21:19,880 Speaker 1: you can say, you're gonna have to piss in a cup. 419 00:21:20,080 --> 00:21:21,720 Speaker 1: You're gonna have to you know, you're gonna have to 420 00:21:21,760 --> 00:21:25,399 Speaker 1: go through all through all kinds of hoops, you know, 421 00:21:25,440 --> 00:21:28,119 Speaker 1: open up your bank account to them. And you mentioned 422 00:21:28,119 --> 00:21:30,399 Speaker 1: the train. But so often the job training stuff just 423 00:21:30,440 --> 00:21:33,840 Speaker 1: becomes like this ridiculous kind of pencil pushing exercise where 424 00:21:33,840 --> 00:21:35,680 Speaker 1: you have to show up at this place and there's 425 00:21:35,680 --> 00:21:37,760 Speaker 1: somebody who doesn't want to be there, you know, telling 426 00:21:37,760 --> 00:21:41,120 Speaker 1: you how to use Google, and everybody's just doing skills. Yeah, 427 00:21:41,520 --> 00:21:43,960 Speaker 1: everybody's just doing it because they've been told that they 428 00:21:43,960 --> 00:21:46,800 Speaker 1: have to do it because politicians believe that it's better 429 00:21:46,840 --> 00:21:49,879 Speaker 1: if they, you know, attach this this work requirement to it, 430 00:21:50,920 --> 00:21:57,800 Speaker 1: but you know if but anyway, so uh, I also worry, 431 00:21:58,000 --> 00:22:00,200 Speaker 1: uh to go back to what you were saying, saying 432 00:22:00,640 --> 00:22:05,520 Speaker 1: post pandemic about the fate of UBI, not just for 433 00:22:05,560 --> 00:22:09,240 Speaker 1: the reasons that you mentioned, but because of the linkage 434 00:22:09,320 --> 00:22:12,359 Speaker 1: in the public's mind and in politicians' minds between the 435 00:22:12,400 --> 00:22:15,399 Speaker 1: money and inflation. Now, I think, and I think the 436 00:22:15,440 --> 00:22:20,960 Speaker 1: economic data is bearing out that that something like half 437 00:22:21,000 --> 00:22:24,719 Speaker 1: of it fifty It almost looks like fifty sixty percent 438 00:22:25,200 --> 00:22:29,040 Speaker 1: was corporate was kind of structured corporate greed in other words, 439 00:22:29,240 --> 00:22:32,760 Speaker 1: like they saw that there was an opportunity for them 440 00:22:32,800 --> 00:22:37,440 Speaker 1: to start raising prices and not get blowback either politicians 441 00:22:37,520 --> 00:22:40,320 Speaker 1: or from consumers, and they went for those price increases. 442 00:22:40,320 --> 00:22:41,879 Speaker 1: And they've been able to measure that it's like a 443 00:22:41,960 --> 00:22:46,520 Speaker 1: huge portion of it was that. But and that was 444 00:22:46,560 --> 00:22:49,159 Speaker 1: related to the supply chain problems and also related to 445 00:22:49,200 --> 00:22:52,240 Speaker 1: the distortion in spending. So yes, it's true that people 446 00:22:52,280 --> 00:22:55,720 Speaker 1: had more money because of the child tax credit, because 447 00:22:55,840 --> 00:22:59,080 Speaker 1: of the kind of stimulus checks that were given out, 448 00:22:59,400 --> 00:23:02,000 Speaker 1: but because people weren't going out, because people were locked 449 00:23:02,040 --> 00:23:05,000 Speaker 1: in their homes. They were spending their money on Amazon 450 00:23:05,080 --> 00:23:08,320 Speaker 1: and on other goods, on other goods rather than on services, 451 00:23:08,760 --> 00:23:12,080 Speaker 1: and so the amount of goods that purchase clogged up 452 00:23:12,119 --> 00:23:15,120 Speaker 1: the supply chains, and so then you did have inflation 453 00:23:15,480 --> 00:23:17,159 Speaker 1: as a result of that. So I worry that that 454 00:23:18,040 --> 00:23:20,560 Speaker 1: UBI has been set back, you know, badly as a 455 00:23:20,560 --> 00:23:24,240 Speaker 1: result of that, because the next next time people come forward, 456 00:23:24,920 --> 00:23:26,640 Speaker 1: they say, well, look what happened last time we had 457 00:23:26,680 --> 00:23:28,760 Speaker 1: We had inflation as a result of it. Are you 458 00:23:28,920 --> 00:23:34,280 Speaker 1: seeing on the right people who try to advance kind 459 00:23:34,320 --> 00:23:36,800 Speaker 1: of these types of kind of family credits or child 460 00:23:37,000 --> 00:23:41,840 Speaker 1: child tax credits. Are they confronting that that obstacle in 461 00:23:41,840 --> 00:23:45,439 Speaker 1: a way that they weren't before. That's a really good question, 462 00:23:45,480 --> 00:23:47,360 Speaker 1: and I think it gets to what you were talking 463 00:23:47,400 --> 00:23:51,280 Speaker 1: about originally. How strange it is that a very libertarian proposal, 464 00:23:51,359 --> 00:23:53,879 Speaker 1: truly a very libertarian proposal came to be kind of 465 00:23:53,920 --> 00:23:58,240 Speaker 1: owned right now by either the corporate descender center or 466 00:23:58,320 --> 00:24:01,359 Speaker 1: the like very progressive left because one of the things 467 00:24:01,359 --> 00:24:04,399 Speaker 1: that would happen if UBI were to be implemented, and 468 00:24:04,480 --> 00:24:06,600 Speaker 1: I don't like our system right now of just sort 469 00:24:06,640 --> 00:24:10,399 Speaker 1: of band aids put on to patch up holes in 470 00:24:10,480 --> 00:24:13,720 Speaker 1: our safety net. I hate that. I think it's in 471 00:24:13,840 --> 00:24:16,960 Speaker 1: humane and I don't think it's been helpful. But those 472 00:24:17,000 --> 00:24:20,480 Speaker 1: band aids go away with UBI, and you end up 473 00:24:20,520 --> 00:24:23,760 Speaker 1: with a system where there are programs people are maybe 474 00:24:23,800 --> 00:24:27,000 Speaker 1: dependent on, and a lot of that goes away. And 475 00:24:27,080 --> 00:24:30,600 Speaker 1: so this question of inflation and overheating the economy, et cetera, 476 00:24:30,640 --> 00:24:33,200 Speaker 1: et cetera is an interesting one because then you do 477 00:24:33,240 --> 00:24:37,080 Speaker 1: get really big discretionary spending cuts, and you might even 478 00:24:37,119 --> 00:24:41,600 Speaker 1: get this as an excuse to slash entitlements. You would 479 00:24:41,600 --> 00:24:44,399 Speaker 1: certainly get this as an excuse for very serious proposals 480 00:24:44,400 --> 00:24:47,880 Speaker 1: to slash entitlements if there were a federal UBI program. 481 00:24:47,960 --> 00:24:50,239 Speaker 1: State basis is different, although on a state level those 482 00:24:50,359 --> 00:24:53,080 Speaker 1: entitlements would certainly be in danger too, And so kind 483 00:24:53,119 --> 00:24:56,480 Speaker 1: of using these as a laboratory for what would happen economically, 484 00:24:56,520 --> 00:24:58,960 Speaker 1: all of the hypotheticals if a UBI were to be 485 00:24:59,000 --> 00:25:02,280 Speaker 1: implemented on a large scale. It is really difficult, but 486 00:25:02,960 --> 00:25:06,600 Speaker 1: I think some of those to alleviate the economic concerns 487 00:25:06,720 --> 00:25:09,080 Speaker 1: that you were just talking about, a lot of those 488 00:25:09,160 --> 00:25:12,680 Speaker 1: safety nets would just be snipped right away, I think, 489 00:25:13,359 --> 00:25:15,800 Speaker 1: And I also think with just how much power employers 490 00:25:15,880 --> 00:25:19,120 Speaker 1: have in this country that with a labor shortage, there's 491 00:25:19,200 --> 00:25:21,520 Speaker 1: just no way they're going anywhere near this. And I 492 00:25:21,560 --> 00:25:24,200 Speaker 1: think I think in Texas, correct me if I'm Wronger, 493 00:25:24,240 --> 00:25:26,600 Speaker 1: I heard that they're either either past legislation or they're 494 00:25:26,640 --> 00:25:29,760 Speaker 1: moving the past legislation. The Texas Republicans are to say 495 00:25:29,800 --> 00:25:33,719 Speaker 1: that no, no municipalities can try ubi like that's like, 496 00:25:33,760 --> 00:25:36,119 Speaker 1: that's how that's how hostile they are to it, that 497 00:25:36,160 --> 00:25:39,080 Speaker 1: they don't even they don't even want towns like Chicago, 498 00:25:39,320 --> 00:25:43,320 Speaker 1: you know, experimenting with it, because they've got this you know, 499 00:25:43,480 --> 00:25:46,520 Speaker 1: May there. They've got bosses who are saying, look, we've 500 00:25:46,520 --> 00:25:49,000 Speaker 1: got this labor shortage, and what the labor shortage is 501 00:25:49,119 --> 00:25:53,000 Speaker 1: driving up wages what they call wage inflation, what other 502 00:25:53,040 --> 00:25:55,800 Speaker 1: people call a raise, and they and they don't want 503 00:25:55,840 --> 00:26:00,600 Speaker 1: to encourage any more kind of worker militants because the 504 00:26:00,640 --> 00:26:04,000 Speaker 1: other thing you get when people feel comfortable in their 505 00:26:04,080 --> 00:26:07,720 Speaker 1: job is that they start airing their grievances and they 506 00:26:07,720 --> 00:26:10,280 Speaker 1: start talking to their coworkers about how they can address 507 00:26:10,320 --> 00:26:14,320 Speaker 1: those grievances. Sometimes that leads to them forming into a union. 508 00:26:14,320 --> 00:26:18,520 Speaker 1: Whereas if there's more caarity, if you get fired, then 509 00:26:18,560 --> 00:26:21,840 Speaker 1: you're going to get evicted and you're totally screwed. Then 510 00:26:21,880 --> 00:26:24,359 Speaker 1: the idea of coming together and trying to form a union, 511 00:26:24,359 --> 00:26:29,560 Speaker 1: which is arduous and often gets beaten back, is less 512 00:26:29,560 --> 00:26:31,479 Speaker 1: appealing to people, and I think a lot of bosses 513 00:26:31,480 --> 00:26:33,320 Speaker 1: would like to get back to a place where that's 514 00:26:33,400 --> 00:26:36,320 Speaker 1: less appealing. Yeah, and you know, one of the reasons 515 00:26:36,359 --> 00:26:38,719 Speaker 1: the right would be increasingly hostile to something like this 516 00:26:38,840 --> 00:26:41,879 Speaker 1: after the pandemic, I think is illustrated really well by 517 00:26:41,880 --> 00:26:44,680 Speaker 1: a story one of my colleagues, Droy Pullman, wrote, which 518 00:26:44,720 --> 00:26:48,920 Speaker 1: is that these strings that are attached were used, for instance, 519 00:26:49,000 --> 00:26:53,040 Speaker 1: in the case of school lunches, to implement new bathroom policies, 520 00:26:53,040 --> 00:26:56,879 Speaker 1: and basically the federal government held school lunch subsidies hostage 521 00:26:57,240 --> 00:27:02,600 Speaker 1: to bathroom policy implementation, and so conservatives are now very wary, 522 00:27:03,040 --> 00:27:06,200 Speaker 1: myself included, like in the state of Texas, that any 523 00:27:06,400 --> 00:27:10,000 Speaker 1: of these subsidies people accept are going to start coming with, 524 00:27:10,119 --> 00:27:14,960 Speaker 1: for instance, an emergency vaccine requirement and something that people 525 00:27:15,000 --> 00:27:19,080 Speaker 1: are on a large scale uncomfortable with from the federal government. 526 00:27:19,240 --> 00:27:22,920 Speaker 1: And so the pandemic definitely created those concerns. And again, 527 00:27:22,960 --> 00:27:26,520 Speaker 1: of course we've covered it many times here. We're vaccinated. 528 00:27:26,640 --> 00:27:31,400 Speaker 1: We hope our loved ones are vaccinated, but conservatives are 529 00:27:31,560 --> 00:27:35,920 Speaker 1: very very wary of that. Now. Yeah, I remember when 530 00:27:35,960 --> 00:27:39,199 Speaker 1: the federal government basically used highway funding to push the 531 00:27:39,600 --> 00:27:43,600 Speaker 1: drinking age from yes because I'm from Wisconsin, they did 532 00:27:43,640 --> 00:27:48,040 Speaker 1: it to us. Were the victims? Were you the last holdouts? 533 00:27:48,480 --> 00:27:52,840 Speaker 1: We were the last holdous drinking Germans in Wisconsin. We're 534 00:27:52,960 --> 00:27:57,440 Speaker 1: just yeah German. I had a friend once who got 535 00:27:57,880 --> 00:28:00,600 Speaker 1: got pulled over in the officer askemi, if you been drinking, 536 00:28:00,600 --> 00:28:04,760 Speaker 1: and he said, just beer. But and he was serious, 537 00:28:04,840 --> 00:28:10,000 Speaker 1: like he just beer, that it's basically water. Yeah, this 538 00:28:10,040 --> 00:28:12,520 Speaker 1: is the guy that belongs belongs in Wisconsin. But yes, 539 00:28:12,560 --> 00:28:15,960 Speaker 1: I mean that that is a thing. And uh, you know, 540 00:28:16,080 --> 00:28:18,280 Speaker 1: with our with our federal system, with these states pulling 541 00:28:18,280 --> 00:28:22,120 Speaker 1: apart from each other on these on these cultural issues, 542 00:28:22,520 --> 00:28:25,199 Speaker 1: it does show that like doing this, doing this stuff 543 00:28:25,200 --> 00:28:28,200 Speaker 1: on a federal level is going to be that much 544 00:28:28,200 --> 00:28:32,360 Speaker 1: more difficult. This overlap of cultural and and and fiscal issues, 545 00:28:32,640 --> 00:28:37,639 Speaker 1: with maybe the Obamacare Medicaid expansion being being the first 546 00:28:37,640 --> 00:28:40,400 Speaker 1: example of this. In our new era where John Roberts 547 00:28:40,400 --> 00:28:42,320 Speaker 1: you know wanted you know, every he wanted him to 548 00:28:42,480 --> 00:28:45,120 Speaker 1: overturn all the Republicans wanted to overturn the A c A, 549 00:28:45,320 --> 00:28:48,000 Speaker 1: and he didn't. As his little compromise, he's like, okay, 550 00:28:48,000 --> 00:28:52,800 Speaker 1: well Medicaid, you cannot you cannot force states to accept 551 00:28:52,800 --> 00:28:56,320 Speaker 1: and expanded medicaid. And so then for political reasons, all 552 00:28:56,320 --> 00:28:57,880 Speaker 1: the states started saying, well, we don't want you to 553 00:28:57,920 --> 00:29:01,640 Speaker 1: keep keep your dirty Medicaid money. You know, we're happy 554 00:29:02,320 --> 00:29:05,480 Speaker 1: being you know, forty ninth and fiftieth in medical care 555 00:29:05,560 --> 00:29:09,920 Speaker 1: down here. Which again it will become another flashpoint because 556 00:29:09,920 --> 00:29:13,560 Speaker 1: it's a dysantas issue. This comes to disantas, and it 557 00:29:13,600 --> 00:29:16,400 Speaker 1: will be another flashpoint in a primary in twenty twenty 558 00:29:16,400 --> 00:29:20,400 Speaker 1: four where you have cultural populism then mixing with economic populism, 559 00:29:20,520 --> 00:29:24,400 Speaker 1: more people being forced to make those arguments or confront them. 560 00:29:24,840 --> 00:29:26,920 Speaker 1: But in the meantime, in the meantime, looking forward to 561 00:29:26,960 --> 00:29:29,680 Speaker 1: seeing the final results from from this experiment, it's good. 562 00:29:29,680 --> 00:29:31,960 Speaker 1: That good that people are trying. I was. I was 563 00:29:31,960 --> 00:29:36,640 Speaker 1: skeptical of UBI and remain so to some degree because 564 00:29:37,480 --> 00:29:39,600 Speaker 1: to me it seemed like it was coming out of 565 00:29:39,600 --> 00:29:42,840 Speaker 1: some Silicon Valley tech utopianism, where yes, you had a 566 00:29:42,880 --> 00:29:44,800 Speaker 1: bunch of tech bros who were like, don't worry we're 567 00:29:44,800 --> 00:29:47,280 Speaker 1: going to put everybody out of work, but then we're 568 00:29:47,280 --> 00:29:50,280 Speaker 1: going to give everybody credits that they can spend with us, 569 00:29:51,240 --> 00:29:54,120 Speaker 1: you know, And that just felt felt something about it 570 00:29:54,120 --> 00:29:59,120 Speaker 1: felt dystopian, So don't. I don't think it's an open 571 00:29:59,200 --> 00:30:04,040 Speaker 1: and shut, obvious, obvious thing. But I also think that 572 00:30:04,040 --> 00:30:07,479 Speaker 1: that people do, like deserve just a basic sense of 573 00:30:07,480 --> 00:30:10,120 Speaker 1: dignity and economic security, and if this gets them there, 574 00:30:11,480 --> 00:30:14,320 Speaker 1: then then then we should pursue that. So I'm glad 575 00:30:14,320 --> 00:30:18,800 Speaker 1: that Chicago's doing it. Hey, and if it was a 576 00:30:18,800 --> 00:30:22,160 Speaker 1: Freedman proposal originally, what better place to experiment with it 577 00:30:22,240 --> 00:30:24,680 Speaker 1: in Chicago Chicago School. There you go.