1 00:00:00,240 --> 00:00:02,320 Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal 2 00:00:02,360 --> 00:00:04,240 Speaker 1: and Sager. We're going to be totally upfront with you. 3 00:00:04,360 --> 00:00:07,200 Speaker 1: We took a big risk going independent to make this work. 4 00:00:07,320 --> 00:00:11,880 Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC. 5 00:00:12,200 --> 00:00:15,760 Speaker 1: They are ripping this country apart. They are making millions 6 00:00:15,760 --> 00:00:18,360 Speaker 1: of dollars doing it to help support our mission of 7 00:00:18,440 --> 00:00:20,720 Speaker 1: making all of us hate each other, less hate the 8 00:00:20,720 --> 00:00:24,000 Speaker 1: corrupt ruling class more support the show. 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We have an amazing show for everybody today. 19 00:01:08,880 --> 00:01:11,320 Speaker 1: Hope you all had it a wonderful Fourth of July weekend. 20 00:01:11,760 --> 00:01:14,479 Speaker 1: Indeed we do, and yes, happy for it too. All 21 00:01:14,480 --> 00:01:16,679 Speaker 1: of you guys, hope you had a fantastic weekend. All right, 22 00:01:16,760 --> 00:01:19,200 Speaker 1: A lot to get to you this morning. So there's 23 00:01:19,480 --> 00:01:22,119 Speaker 1: new information about what is going on with Britney Spears. 24 00:01:22,160 --> 00:01:24,720 Speaker 1: Ron and Pharaoh had a gigantic piece with a bunch 25 00:01:24,760 --> 00:01:26,200 Speaker 1: of bombshells in it. We're going to go ahead and 26 00:01:26,240 --> 00:01:29,800 Speaker 1: break down new developments in terms of that building that 27 00:01:29,880 --> 00:01:31,920 Speaker 1: collapse in South Florida. First of all, the rest of 28 00:01:31,920 --> 00:01:34,399 Speaker 1: the building was demolished. Second of all, we're starting to 29 00:01:34,400 --> 00:01:37,760 Speaker 1: get a picture of how many other buildings could potentially 30 00:01:37,800 --> 00:01:42,080 Speaker 1: be in danger and completely lax regulation that they've just 31 00:01:42,200 --> 00:01:44,400 Speaker 1: ignored these requirements that are on the books, but they 32 00:01:44,400 --> 00:01:46,880 Speaker 1: haven't been paying attention to it. We're also learning more 33 00:01:47,040 --> 00:01:51,320 Speaker 1: about just how inhumane Amazon treats their workers, how casually 34 00:01:51,400 --> 00:01:54,360 Speaker 1: they treat their workers and fire them as collateral damage, 35 00:01:54,400 --> 00:01:57,240 Speaker 1: not even using human beings, but just using butts. But 36 00:01:57,320 --> 00:02:00,840 Speaker 1: we wanted to start with what is truly some bombshell 37 00:02:00,920 --> 00:02:06,000 Speaker 1: revelations unearthed about how the Biden administration is going about 38 00:02:06,040 --> 00:02:10,560 Speaker 1: crafting this infrastructure package and exactly why so many of 39 00:02:10,560 --> 00:02:13,080 Speaker 1: the climate change pieces have been stripped out and the 40 00:02:13,120 --> 00:02:17,400 Speaker 1: package overall has been reduced, so Greenpeace in the UK 41 00:02:17,960 --> 00:02:23,720 Speaker 1: was able to secretly record an Exxon lobbyist explaining his 42 00:02:23,840 --> 00:02:27,560 Speaker 1: interactions with prominent senators people like Joe Manchin of course, 43 00:02:27,600 --> 00:02:31,440 Speaker 1: but also Kirson Cinema, John Tester and many others, other 44 00:02:31,560 --> 00:02:35,679 Speaker 1: links into the Biden administration, close relationship with Gena McCarthy, 45 00:02:35,800 --> 00:02:39,280 Speaker 1: also with Cedric Richmond, top advisors to the White House, 46 00:02:39,639 --> 00:02:44,200 Speaker 1: and really revealing their entire strategy to try to undercut 47 00:02:44,240 --> 00:02:47,040 Speaker 1: climate action and Sager, there's a few things here that 48 00:02:47,280 --> 00:02:51,120 Speaker 1: are very revelatory. First of all, he talks about this 49 00:02:51,200 --> 00:02:54,920 Speaker 1: lobbyist talks about how, yeah, we've put out there that 50 00:02:54,960 --> 00:02:57,240 Speaker 1: were in favor of a carbon tax so that we 51 00:02:57,280 --> 00:03:00,000 Speaker 1: can get the good pr points, but we just support 52 00:03:00,240 --> 00:03:02,400 Speaker 1: that because we know it will never pass. So this 53 00:03:02,480 --> 00:03:05,799 Speaker 1: is it enables Exon to have this like halo around like, look, guys, 54 00:03:05,840 --> 00:03:09,000 Speaker 1: we're different, we're really serious about climate action, but behind 55 00:03:09,040 --> 00:03:11,239 Speaker 1: the scenes they know there's no chance that a carbon 56 00:03:11,280 --> 00:03:13,160 Speaker 1: tax is going to pass, so it's not a threat 57 00:03:13,200 --> 00:03:16,760 Speaker 1: to them whatsoever. The other piece that he reveals per 58 00:03:16,800 --> 00:03:19,960 Speaker 1: the transcript and the video of this interaction, and by 59 00:03:19,960 --> 00:03:21,799 Speaker 1: the way, the way they set this up is this 60 00:03:21,919 --> 00:03:24,359 Speaker 1: lobbyist thought that he was doing like a job interview, 61 00:03:24,680 --> 00:03:27,079 Speaker 1: and so he's bragging about all the influence he has 62 00:03:27,120 --> 00:03:28,640 Speaker 1: and all the ways that they've been able to shape 63 00:03:28,639 --> 00:03:31,400 Speaker 1: this bill. So the other thing that they did is 64 00:03:31,520 --> 00:03:35,640 Speaker 1: rather than directly attack the climate change pieces of the legislation, 65 00:03:36,160 --> 00:03:39,840 Speaker 1: they attacked the pay force. Right, the taxes, especially on 66 00:03:39,880 --> 00:03:42,240 Speaker 1: corporations that we're going to be raised in order to 67 00:03:42,280 --> 00:03:45,800 Speaker 1: pay for this bill. That would dramatically reduce what they're 68 00:03:45,800 --> 00:03:47,920 Speaker 1: able to do in the package. And once you get 69 00:03:47,920 --> 00:03:50,200 Speaker 1: it down to roads and bridges and those sorts of things, 70 00:03:50,280 --> 00:03:53,600 Speaker 1: that's no threat to Exon mobile whatsoever. So it really 71 00:03:54,000 --> 00:03:56,000 Speaker 1: look I saw one tweet that really kind of summed 72 00:03:56,040 --> 00:03:58,840 Speaker 1: it up. It's like, listening to this Exon lobbyist, do 73 00:03:58,880 --> 00:04:01,800 Speaker 1: you get the sense that the description of how government 74 00:04:01,840 --> 00:04:05,080 Speaker 1: works is identical to what the left claims, what like 75 00:04:05,120 --> 00:04:08,680 Speaker 1: the populace people who see the government's totally corrupt claim 76 00:04:08,880 --> 00:04:12,400 Speaker 1: plus nihilism is essentially what's revealed here. Yeah, that is 77 00:04:12,440 --> 00:04:14,400 Speaker 1: exactly what's going on. Is it very very rare in 78 00:04:14,480 --> 00:04:16,360 Speaker 1: order to get these things happen? Also, you know we 79 00:04:16,400 --> 00:04:19,080 Speaker 1: should give credit where do Congress and Rocanna. Let's put 80 00:04:19,080 --> 00:04:20,839 Speaker 1: this up there on the screen is actually threatening to 81 00:04:20,880 --> 00:04:24,720 Speaker 1: subpoena Exon after that secret video. Now, I guess I'll 82 00:04:24,760 --> 00:04:27,599 Speaker 1: cover my basis here and say that Exon CEO says 83 00:04:27,640 --> 00:04:30,480 Speaker 1: that this has nothing to do with their It says 84 00:04:30,640 --> 00:04:32,800 Speaker 1: Exon's chief is exit of the comments in no way 85 00:04:32,880 --> 00:04:35,480 Speaker 1: represent the company's position on a variety of issues, including 86 00:04:35,520 --> 00:04:38,279 Speaker 1: climate policy and our firm's commitment that carbon pricing is 87 00:04:38,320 --> 00:04:42,040 Speaker 1: important to addressing climate change. It's interesting though. First of all, 88 00:04:42,080 --> 00:04:43,560 Speaker 1: I remember when you showed this to me. I was like, 89 00:04:43,800 --> 00:04:45,520 Speaker 1: why is this coming out of the UK? I was like, 90 00:04:46,160 --> 00:04:48,800 Speaker 1: why is Greenpeace UK the one who is putting this 91 00:04:48,839 --> 00:04:50,880 Speaker 1: out there? Which I do actually think is even more 92 00:04:50,920 --> 00:04:54,200 Speaker 1: interesting that it came around you know, quote unquote official 93 00:04:54,320 --> 00:04:57,080 Speaker 1: US media channels and aired on Channel four, which is 94 00:04:57,120 --> 00:05:00,120 Speaker 1: a you know, a news organization out in the United Kingdom. 95 00:05:00,640 --> 00:05:04,120 Speaker 1: All of this was via a group called Unearthed, which 96 00:05:04,120 --> 00:05:07,600 Speaker 1: is an affiliate of Greenpeace. They have a little bit 97 00:05:07,680 --> 00:05:10,039 Speaker 1: of what they cut from that. Let's take a listen. 98 00:05:10,600 --> 00:05:14,440 Speaker 1: And working hard to undermine President Biden's two trillion dollar 99 00:05:14,520 --> 00:05:18,640 Speaker 1: infrastructure plan. The White House proposal included spending hundreds of 100 00:05:18,680 --> 00:05:21,520 Speaker 1: billions on clean energy and transport, as part of the 101 00:05:21,560 --> 00:05:26,160 Speaker 1: most ambitious clean energy legislation ever proposed by a US president, 102 00:05:26,240 --> 00:05:28,719 Speaker 1: and it would have been paid for by higher taxes 103 00:05:28,720 --> 00:05:33,240 Speaker 1: on corporations like Exon. But these ambitious proposals are on 104 00:05:33,279 --> 00:05:37,039 Speaker 1: the verge of being defeated. According to mister McCoy, Exxon 105 00:05:37,160 --> 00:05:40,200 Speaker 1: has been working to scale back the legislation and stop 106 00:05:40,240 --> 00:05:43,799 Speaker 1: Exon paying more tax He told us which United States 107 00:05:43,880 --> 00:05:47,200 Speaker 1: senators the company sought to recruit to their lobbying campaign. 108 00:05:48,720 --> 00:05:51,880 Speaker 1: So the senators that they list there, Joe Manchin, John 109 00:05:51,960 --> 00:05:55,760 Speaker 1: Tester there from Montana, Jean Shaheen in New Hampshire. Many 110 00:05:55,760 --> 00:06:00,120 Speaker 1: of these people right on the edge of battleground Democrats, 111 00:06:00,160 --> 00:06:02,359 Speaker 1: and they're going to need a lot of the campaign cash. 112 00:06:02,400 --> 00:06:05,040 Speaker 1: This is actually a good view of how exactly some 113 00:06:05,080 --> 00:06:07,760 Speaker 1: of the campaign cash can be funneled and more. And look, 114 00:06:07,760 --> 00:06:10,280 Speaker 1: I've said this so many times, which is that American 115 00:06:10,320 --> 00:06:14,080 Speaker 1: politics and corruption today does not or very rarely works 116 00:06:14,320 --> 00:06:16,839 Speaker 1: in terms of I give you a briefcase full of 117 00:06:16,880 --> 00:06:20,640 Speaker 1: cash and you vote this way. There's an entire ecosystem 118 00:06:20,720 --> 00:06:23,800 Speaker 1: in the legal framework, give it, super packs, give it. 119 00:06:24,080 --> 00:06:26,760 Speaker 1: What exactly is going on in terms of who can 120 00:06:26,800 --> 00:06:30,200 Speaker 1: be funneling to you cash or not in kind donations, 121 00:06:30,240 --> 00:06:33,560 Speaker 1: whether you can tell somebody to give a support fundraiser 122 00:06:33,600 --> 00:06:36,360 Speaker 1: for someone. All of this network has been created such 123 00:06:36,400 --> 00:06:39,120 Speaker 1: that it's one hundred percent legal in order to create 124 00:06:39,360 --> 00:06:42,479 Speaker 1: an entire political infrastructure. This has been going on now 125 00:06:42,640 --> 00:06:44,600 Speaker 1: for forty or fifty years. And this is a very 126 00:06:44,600 --> 00:06:47,679 Speaker 1: good example of how exactly this works. As you said, 127 00:06:47,800 --> 00:06:50,720 Speaker 1: it is almost cartoonish the way that and this is 128 00:06:50,720 --> 00:06:53,200 Speaker 1: almost a ten minute video. Encourage people to go and 129 00:06:53,320 --> 00:06:56,400 Speaker 1: watch the entire thing because it's very important about how 130 00:06:56,440 --> 00:06:59,120 Speaker 1: exactly the levers of power work. As you said, you 131 00:06:59,160 --> 00:07:02,279 Speaker 1: want to kill the carbon stuff, you don't go after carbon, 132 00:07:02,520 --> 00:07:05,480 Speaker 1: you talk about the pay fors. And this also, if anything, 133 00:07:05,560 --> 00:07:08,880 Speaker 1: validates a critique of Biden, which is that, look, we 134 00:07:08,960 --> 00:07:11,680 Speaker 1: said this a million times. Infrastructure is the one thing 135 00:07:11,880 --> 00:07:14,080 Speaker 1: that if you were going to deficit spend for it 136 00:07:14,200 --> 00:07:16,320 Speaker 1: makes sense if you weren't talk about pay force. We 137 00:07:16,360 --> 00:07:19,240 Speaker 1: could have talked about pay force during the coronavirus package. 138 00:07:19,800 --> 00:07:21,640 Speaker 1: I'm not necessarily saying that would have been a good thing. 139 00:07:21,720 --> 00:07:23,680 Speaker 1: I don't think that that necessarily should have been, but 140 00:07:24,400 --> 00:07:27,280 Speaker 1: it would be a lot more economically justified. Whenever it 141 00:07:27,280 --> 00:07:30,080 Speaker 1: comes to infrastructure. It is the very definition of something 142 00:07:30,280 --> 00:07:34,120 Speaker 1: that pays out foot five to ten times more So, 143 00:07:34,160 --> 00:07:37,280 Speaker 1: by artificially restricting this, you actually give a bonanza to 144 00:07:37,520 --> 00:07:39,520 Speaker 1: a lot of the lobbyists who know that if it 145 00:07:39,560 --> 00:07:42,239 Speaker 1: can strike out this position, strike out that position, strike 146 00:07:42,280 --> 00:07:44,440 Speaker 1: out this, that will mean that the portion that they 147 00:07:44,480 --> 00:07:47,400 Speaker 1: don't like will not end up happening. It is a 148 00:07:47,560 --> 00:07:51,200 Speaker 1: very unique and interesting view into how exactly the people 149 00:07:51,200 --> 00:07:55,320 Speaker 1: who are outside on the influence understand our government really frankly, 150 00:07:55,440 --> 00:07:57,200 Speaker 1: much more than a lot of the people who end 151 00:07:57,280 --> 00:07:59,360 Speaker 1: up voting for these people, and they don't have the 152 00:07:59,360 --> 00:08:01,880 Speaker 1: awareness to how exactly this works, and they're playing you 153 00:08:01,960 --> 00:08:04,680 Speaker 1: for fools. They're thinking that when they say, oh, Exxon 154 00:08:04,800 --> 00:08:07,120 Speaker 1: is for a carbon tax, that you're going to believe 155 00:08:07,480 --> 00:08:10,280 Speaker 1: that they're really doing that, they really care about climate 156 00:08:10,360 --> 00:08:13,240 Speaker 1: change and they're really acting in good faith. Couple other 157 00:08:13,320 --> 00:08:16,600 Speaker 1: revelations here, and I want to read the full list 158 00:08:16,720 --> 00:08:19,920 Speaker 1: of senators that they mentioned, because I think that that is, 159 00:08:20,040 --> 00:08:22,239 Speaker 1: you know, a list of shame that's important. Joe Manchin, 160 00:08:22,280 --> 00:08:25,360 Speaker 1: of course, Shelley Moore Capito, who's the Republican from West Virginia. 161 00:08:25,480 --> 00:08:30,560 Speaker 1: They also mentioned John Tester, Maggie Hassen Mark Kelly Chris Coons, 162 00:08:30,560 --> 00:08:33,920 Speaker 1: who's a can still the closest ally of Joe Biden 163 00:08:34,679 --> 00:08:38,280 Speaker 1: in the Senate right now. They talk about how they 164 00:08:38,760 --> 00:08:42,320 Speaker 1: downplayed the signs, so like, we didn't necessarily lie about it, 165 00:08:42,600 --> 00:08:45,560 Speaker 1: but were we totally upfront about it? Did we hide 166 00:08:45,559 --> 00:08:48,640 Speaker 1: some of the Yes we did. They also talk about 167 00:08:48,760 --> 00:08:51,959 Speaker 1: using outside groups to do the work for them. They 168 00:08:52,040 --> 00:08:56,320 Speaker 1: describe some outside organizations like American Petroleum Institute as whipping 169 00:08:56,360 --> 00:08:58,160 Speaker 1: boys that they can kind of put out there and 170 00:08:58,200 --> 00:09:01,520 Speaker 1: they'll take the heat rather than exon taking the heat 171 00:09:01,760 --> 00:09:04,839 Speaker 1: themselves and the real bottom line. Oh and one other thing, 172 00:09:05,320 --> 00:09:07,199 Speaker 1: just so you know that this is fully bipartisan. He 173 00:09:07,280 --> 00:09:10,240 Speaker 1: also they also have another one who brags about the 174 00:09:10,280 --> 00:09:12,559 Speaker 1: wins that they got in the Trump administration and how 175 00:09:12,559 --> 00:09:15,600 Speaker 1: they got you know, billions of dollars worth of tax 176 00:09:15,679 --> 00:09:18,480 Speaker 1: credits and goodies that were to their benefit during the 177 00:09:18,480 --> 00:09:21,880 Speaker 1: Trump era. So totally bipartisan their access here and the 178 00:09:21,880 --> 00:09:24,880 Speaker 1: way that they operate. But what is so troubling about 179 00:09:24,880 --> 00:09:27,920 Speaker 1: this is that from the looks of it, they got 180 00:09:27,960 --> 00:09:30,400 Speaker 1: their way on everything. I mean, they got the package 181 00:09:30,400 --> 00:09:32,520 Speaker 1: stripped down to bare bones. They got it, you know, 182 00:09:32,600 --> 00:09:36,160 Speaker 1: cut way back the climate change provisions. Ah, that's all 183 00:09:36,200 --> 00:09:38,319 Speaker 1: been pushed off to like, yeah, theory, We're going to 184 00:09:38,360 --> 00:09:41,480 Speaker 1: get to that in that second reconciliation bill. We'll see 185 00:09:41,480 --> 00:09:45,640 Speaker 1: if that ever actually happens. Even the way that prominent 186 00:09:45,640 --> 00:09:49,960 Speaker 1: Biden officials like Jennifer Granholmer talking about carbon capture technology 187 00:09:50,240 --> 00:09:53,319 Speaker 1: seems to be echoing the exon talking points that they're 188 00:09:53,360 --> 00:09:55,480 Speaker 1: putting in front of them. The New York Times, in 189 00:09:55,520 --> 00:09:58,560 Speaker 1: their article has this paragraph here that I think, you know, 190 00:09:58,760 --> 00:10:01,000 Speaker 1: kind of makes the case for just how effective this 191 00:10:01,200 --> 00:10:05,360 Speaker 1: sophisticated operation influence operation has been. They say in the video, 192 00:10:05,400 --> 00:10:08,160 Speaker 1: mister McCoy that some lobbyist describes how the company targeted 193 00:10:08,200 --> 00:10:11,160 Speaker 1: a number of influential centers with the aim of scaling 194 00:10:11,200 --> 00:10:14,320 Speaker 1: back the climate provisions in President biden sweeping infrastructure bill 195 00:10:14,360 --> 00:10:17,200 Speaker 1: by attacking the tax increases the pay fors that would 196 00:10:17,240 --> 00:10:20,400 Speaker 1: pay for it. A bipartisan package that mister Biden agreed 197 00:10:20,480 --> 00:10:23,480 Speaker 1: to now leaves out many of the ideas that the 198 00:10:23,520 --> 00:10:26,920 Speaker 1: President initially had proposed to reduce the burning of fossil fuels, 199 00:10:26,920 --> 00:10:29,200 Speaker 1: which is the main driver of climate change. So you 200 00:10:29,280 --> 00:10:33,720 Speaker 1: have this person admitting the whole scheme, and by the way, 201 00:10:34,200 --> 00:10:38,040 Speaker 1: the bill that now is being proposed reflects every one 202 00:10:38,240 --> 00:10:41,400 Speaker 1: of Exxon's goals and priorities. Here, you tell me what 203 00:10:41,440 --> 00:10:44,400 Speaker 1: that's all about. And by the way, to my knowledge, 204 00:10:44,400 --> 00:10:50,760 Speaker 1: the Biden administration has said nothing about this incredibly explosive 205 00:10:51,280 --> 00:10:55,319 Speaker 1: revelations of how their government and how their administration is 206 00:10:55,400 --> 00:10:58,320 Speaker 1: actually operating, who they are truly listening to, and who 207 00:10:58,320 --> 00:11:01,240 Speaker 1: they are actually serving. Here, Kna actually makes a really 208 00:11:01,320 --> 00:11:02,880 Speaker 1: good point within this. Didn't know I was going to 209 00:11:02,920 --> 00:11:04,880 Speaker 1: be a real connistant today, but hey, he's like, Hey, 210 00:11:04,960 --> 00:11:09,520 Speaker 1: we have people who are tech company CEOs, Wall Street executives, 211 00:11:09,720 --> 00:11:13,959 Speaker 1: pharmaceutical executives have all come and testified before Congress. Why 212 00:11:14,040 --> 00:11:16,000 Speaker 1: won't the fossil fuel guys? And I was like, hey, 213 00:11:16,160 --> 00:11:18,720 Speaker 1: you know, that's actually a pretty good point, which is 214 00:11:18,720 --> 00:11:21,960 Speaker 1: that actually we drag CEOs before Congress all of the time. 215 00:11:22,040 --> 00:11:24,480 Speaker 1: I actually think it's very good. Even though most of 216 00:11:24,480 --> 00:11:26,960 Speaker 1: our elected representatives are idiots and they don't ask the 217 00:11:27,040 --> 00:11:29,720 Speaker 1: right questions, maybe in this particular case they will. It 218 00:11:29,760 --> 00:11:32,880 Speaker 1: doesn't make any sense to me whatsoever, why in this case, 219 00:11:32,920 --> 00:11:35,839 Speaker 1: why Axon shouldn't be called in order to at least 220 00:11:36,000 --> 00:11:38,200 Speaker 1: talk about it? And this, actually I want to make 221 00:11:38,200 --> 00:11:41,199 Speaker 1: it clear for whoever you support, don't or whatever, maybe 222 00:11:41,240 --> 00:11:43,120 Speaker 1: even actually think carbon pricing is a pretty good idea. 223 00:11:43,200 --> 00:11:45,320 Speaker 1: But all of that being said, which is that if 224 00:11:45,360 --> 00:11:48,200 Speaker 1: you bring it together, you should understand how your government works. 225 00:11:48,360 --> 00:11:52,200 Speaker 1: And when you have somebody out there so flagrantly admitting 226 00:11:52,280 --> 00:11:56,000 Speaker 1: how exactly they manipulated the American political system at the 227 00:11:56,040 --> 00:11:58,840 Speaker 1: highest levels of government in the United States Senate, I 228 00:11:58,880 --> 00:12:01,320 Speaker 1: actually think that's very important, regardless of what the cause 229 00:12:01,679 --> 00:12:04,280 Speaker 1: is or not, because I guarantee you this what Exon 230 00:12:04,400 --> 00:12:08,680 Speaker 1: does here is what every industry in Washington does whenever 231 00:12:08,760 --> 00:12:11,120 Speaker 1: they want something to get done, be it pharma, be 232 00:12:11,240 --> 00:12:15,120 Speaker 1: it big tech, be it the financial industry. I have 233 00:12:15,240 --> 00:12:17,680 Speaker 1: stories about all four of those. And if you're on 234 00:12:17,720 --> 00:12:19,160 Speaker 1: the left, you're gonna want to hear about that. If 235 00:12:19,160 --> 00:12:20,560 Speaker 1: you're on the right, you want to hear about some 236 00:12:20,600 --> 00:12:23,200 Speaker 1: of how your priorities were destroyed in Congress. So this 237 00:12:23,320 --> 00:12:26,640 Speaker 1: actually very much is a bipartisan issue in my opinion, 238 00:12:26,679 --> 00:12:28,720 Speaker 1: which is that corruption is at the root of a 239 00:12:28,800 --> 00:12:31,040 Speaker 1: lot of the biggest problems that we have within our 240 00:12:31,040 --> 00:12:34,439 Speaker 1: political system. This is a golden view into how exactly 241 00:12:34,440 --> 00:12:36,480 Speaker 1: it all works, and I encourage people to go like 242 00:12:36,520 --> 00:12:38,800 Speaker 1: I said, watch the whole video. Kudos to these people. 243 00:12:38,960 --> 00:12:42,160 Speaker 1: You know, these types of sting operations. One other note 244 00:12:42,160 --> 00:12:45,480 Speaker 1: on this, Crystal whenever Project I know everybody hates Project Veritas, 245 00:12:45,600 --> 00:12:47,760 Speaker 1: I get it, and whenever it comes out, you know, 246 00:12:47,960 --> 00:12:50,280 Speaker 1: you have these CNN and Washington Post people, but this 247 00:12:50,360 --> 00:12:53,320 Speaker 1: isn't real journalism, bab blah. Look, you don't have to 248 00:12:53,400 --> 00:12:55,160 Speaker 1: like it, but it is real journalism. And it's the 249 00:12:55,160 --> 00:12:57,720 Speaker 1: same case here. I think we are all better off 250 00:12:57,760 --> 00:13:00,320 Speaker 1: for the fact that Greenpeace UK ended up doing this 251 00:13:00,360 --> 00:13:04,040 Speaker 1: sting video operation. It's about it's a means to an 252 00:13:04,120 --> 00:13:05,760 Speaker 1: end thing and at the end of the day, like 253 00:13:06,080 --> 00:13:08,840 Speaker 1: more view into this type of this type of behavior 254 00:13:09,240 --> 00:13:11,280 Speaker 1: is important. You don't have to like it, but it 255 00:13:11,320 --> 00:13:13,640 Speaker 1: is important. I will say. With Project Veritas, I mean 256 00:13:13,880 --> 00:13:17,640 Speaker 1: they have been caught an editing stuff in ways that's 257 00:13:18,000 --> 00:13:20,720 Speaker 1: a dirty game. So look, we've covered some of their 258 00:13:20,760 --> 00:13:24,320 Speaker 1: stuff and it's just it's actually really unfortunate that they've 259 00:13:24,360 --> 00:13:28,280 Speaker 1: engaged in those sorts of deceptive tactics because some of 260 00:13:28,320 --> 00:13:30,600 Speaker 1: the things that they have brought to light have been important, 261 00:13:30,920 --> 00:13:34,440 Speaker 1: but you can't cover it responsibly without a lot of 262 00:13:34,480 --> 00:13:37,640 Speaker 1: caveats because they have engaged in those tactics before, which 263 00:13:37,640 --> 00:13:39,800 Speaker 1: is which is again really unfortunate. We've covered some of 264 00:13:39,800 --> 00:13:42,040 Speaker 1: their stuff here and we always put those caveats on it. 265 00:13:42,080 --> 00:13:45,679 Speaker 1: But what I will say finally on this is this 266 00:13:45,760 --> 00:13:48,680 Speaker 1: is even more brazen than Honestly, even I thought it's 267 00:13:48,679 --> 00:13:50,520 Speaker 1: more direct, because we tend to think in terms of 268 00:13:50,600 --> 00:13:55,240 Speaker 1: like interests and incentives and influences. This is so direct 269 00:13:55,800 --> 00:14:00,400 Speaker 1: and everything that this lobbyist lays out of how use 270 00:14:00,480 --> 00:14:03,520 Speaker 1: the third party groups, what their strategy was to make 271 00:14:03,520 --> 00:14:06,720 Speaker 1: sure that Exxon's bottom line is protected. Here the way 272 00:14:06,720 --> 00:14:09,440 Speaker 1: that they've recognized like they've lost the pr battle on 273 00:14:09,520 --> 00:14:12,880 Speaker 1: climate change, so they cloak themselves in this rhetoric about 274 00:14:12,920 --> 00:14:14,800 Speaker 1: a carbon tax, and look, we really are committed to 275 00:14:14,840 --> 00:14:18,560 Speaker 1: climate change, knowing how dysfunctional the American political processes and 276 00:14:18,559 --> 00:14:21,160 Speaker 1: that there's no way the solution that they're offering is 277 00:14:21,160 --> 00:14:22,960 Speaker 1: actually going to come to pass. So what does it 278 00:14:23,040 --> 00:14:25,040 Speaker 1: hurt for them to advocate for something that is never 279 00:14:25,120 --> 00:14:27,920 Speaker 1: ever ever going to happen. The way that they went 280 00:14:28,040 --> 00:14:32,000 Speaker 1: after the pay force, the particular senators that they targeted, 281 00:14:32,000 --> 00:14:35,160 Speaker 1: and the role that those senators in particular have played, 282 00:14:35,200 --> 00:14:38,480 Speaker 1: the outsized role that those senators have played in these negotiations. 283 00:14:38,840 --> 00:14:41,120 Speaker 1: Final thing that I'll say here is we've said this 284 00:14:41,160 --> 00:14:44,440 Speaker 1: before on the show. The DC Press gives Joe Manchin 285 00:14:44,560 --> 00:14:47,240 Speaker 1: all this credit, like all of his actions are to 286 00:14:47,320 --> 00:14:50,440 Speaker 1: represent the people of West Virginia, that he's just reflecting 287 00:14:50,480 --> 00:14:53,720 Speaker 1: the values in the priorities of his state. You can 288 00:14:53,760 --> 00:14:59,960 Speaker 1: see very clearly here whose interests and priorities he's actually reflect. 289 00:15:00,600 --> 00:15:04,560 Speaker 1: He's listening to these lobbyists, he's doing their bidding. Sometimes 290 00:15:04,560 --> 00:15:06,800 Speaker 1: that overlaps with what the people in West Virginia want, 291 00:15:06,960 --> 00:15:09,760 Speaker 1: and sometimes it does not. I've looked at polling of 292 00:15:09,840 --> 00:15:13,000 Speaker 1: West Virginians and how they feel about green energy and 293 00:15:13,200 --> 00:15:15,600 Speaker 1: job creation. In life of climate change, we covered how 294 00:15:15,720 --> 00:15:20,640 Speaker 1: even the mineworkers union also pushing for Look, jobs are 295 00:15:20,760 --> 00:15:24,400 Speaker 1: jobs right. Ability to have a middle class life and 296 00:15:24,640 --> 00:15:26,560 Speaker 1: live in the state, in the hometown that you really 297 00:15:26,600 --> 00:15:29,480 Speaker 1: care about. That's something that West Virginians really value, and 298 00:15:29,520 --> 00:15:33,000 Speaker 1: I've seen the pulling to back that up. There's always 299 00:15:33,080 --> 00:15:36,640 Speaker 1: this assumption that whatever Joe Manchin says on an issue 300 00:15:36,920 --> 00:15:39,240 Speaker 1: must be what the people in West Virginia really want, 301 00:15:39,480 --> 00:15:41,800 Speaker 1: and I think that this exposation should blow up that 302 00:15:41,840 --> 00:15:45,200 Speaker 1: assumption completely. Yeah, it's funny too. Within the New York 303 00:15:45,200 --> 00:15:48,320 Speaker 1: Times story, mansion staff issued a statement saying that mister 304 00:15:48,400 --> 00:15:51,440 Speaker 1: McCoy greatly exaggerated his relationship, adding that he meets with 305 00:15:51,480 --> 00:15:53,280 Speaker 1: the broad range of people. What does that tell you? 306 00:15:53,320 --> 00:15:55,760 Speaker 1: They confirmed in the statement that they met before. That's 307 00:15:56,680 --> 00:15:59,840 Speaker 1: Washington speak for oh, they've met before. This is actually 308 00:16:00,000 --> 00:16:02,760 Speaker 1: it's all pretty much true in terms of what's happening there. 309 00:16:02,840 --> 00:16:05,440 Speaker 1: Ye take that friends, Well, they met all. They meet 310 00:16:05,480 --> 00:16:08,240 Speaker 1: with a range of people. We've also I think had 311 00:16:08,240 --> 00:16:11,040 Speaker 1: tape of them, like listening to some coke industry lobbyists 312 00:16:11,040 --> 00:16:15,000 Speaker 1: as well, So wide range of interest that he's listening to. There. 313 00:16:15,040 --> 00:16:17,880 Speaker 1: Fun stuff. Okay, we want to stick with important stories today, 314 00:16:18,080 --> 00:16:19,680 Speaker 1: so let's put this up. The next one up there 315 00:16:19,680 --> 00:16:23,440 Speaker 1: surfside the building collapse. There we are learning a lot 316 00:16:23,560 --> 00:16:26,200 Speaker 1: about some really troubling stuff about what happened in terms 317 00:16:26,200 --> 00:16:30,880 Speaker 1: of lax enforcement in South Florida, which allowed buildings high 318 00:16:30,960 --> 00:16:34,520 Speaker 1: rise buildings in particular to skirt inspections for years. So 319 00:16:34,680 --> 00:16:36,520 Speaker 1: what The New York Times has actually done is put 320 00:16:36,520 --> 00:16:39,160 Speaker 1: that great map up there on the screen, which shows 321 00:16:39,200 --> 00:16:42,960 Speaker 1: the dates of construction between nineteen seventy and nineteen eighty nine. 322 00:16:43,000 --> 00:16:45,400 Speaker 1: There are dozens of buildings there that dot kind of 323 00:16:45,400 --> 00:16:48,440 Speaker 1: the South Florida coast. And what they talk here is 324 00:16:48,480 --> 00:16:52,400 Speaker 1: about how hundreds of buildings. An analysis of property record 325 00:16:52,440 --> 00:16:56,440 Speaker 1: shows two hundred and seventy such buildings have dotted the 326 00:16:56,480 --> 00:16:59,680 Speaker 1: skylines of Miami Dades counties, cities, villages, and towns, with 327 00:17:00,360 --> 00:17:04,600 Speaker 1: more in the county's unincorporated reaches. Now the investigators and more. 328 00:17:04,640 --> 00:17:07,520 Speaker 1: We have no idea yet exactly as to why that 329 00:17:07,640 --> 00:17:10,439 Speaker 1: surfside building collapse. But what we do know is that 330 00:17:10,520 --> 00:17:15,720 Speaker 1: the patchwork amount of enforcement, regulatory response, review of the records, 331 00:17:15,920 --> 00:17:19,000 Speaker 1: review of exactly how the building was built, that has 332 00:17:19,040 --> 00:17:22,520 Speaker 1: actually been lacking for years, not just on surfside, but 333 00:17:22,680 --> 00:17:25,560 Speaker 1: across the entire spectrum. I actually learned a little bit 334 00:17:25,560 --> 00:17:27,439 Speaker 1: about this when I was down in Miami because I 335 00:17:27,440 --> 00:17:29,120 Speaker 1: was asking around. I'm like, what is going on here? 336 00:17:29,160 --> 00:17:31,639 Speaker 1: There's a mayor of Miami, then there's a strong mayor, 337 00:17:31,800 --> 00:17:34,320 Speaker 1: then there's Miami Dade County. Then there's like thirty nine 338 00:17:34,320 --> 00:17:37,879 Speaker 1: different cities, states, villages, whatever cities, villages except for the 339 00:17:37,920 --> 00:17:41,600 Speaker 1: word underneath Miami. It's a very different and interesting municipality 340 00:17:41,600 --> 00:17:43,760 Speaker 1: in terms of the way they actually govern themselves and 341 00:17:43,840 --> 00:17:48,440 Speaker 1: all of these overlapping things with different mayoralties, different regulatory structures, 342 00:17:48,480 --> 00:17:50,280 Speaker 1: and more have made it so that it's a little 343 00:17:50,280 --> 00:17:53,240 Speaker 1: bit chaotic whenever you want to get this done. The 344 00:17:53,320 --> 00:17:55,280 Speaker 1: other interesting thing, and this goes into the history of 345 00:17:55,320 --> 00:17:58,000 Speaker 1: South Florida itself, which I've always been fascinated by, is 346 00:17:58,040 --> 00:18:00,520 Speaker 1: that a lot of these buildings were built in the 347 00:18:00,600 --> 00:18:03,639 Speaker 1: Boom years, right around the time the South Florida was 348 00:18:03,680 --> 00:18:05,880 Speaker 1: trying to crawl out of a lot of the drug 349 00:18:05,960 --> 00:18:08,399 Speaker 1: violence which was plaguing Miami, and so they wanted to 350 00:18:08,440 --> 00:18:11,680 Speaker 1: green light a lot of different construction. So the buildings 351 00:18:11,680 --> 00:18:14,199 Speaker 1: of the early eighties took shape against the backdrop of 352 00:18:14,200 --> 00:18:18,320 Speaker 1: the turmoil and the economic uncertainty. So with all of that, 353 00:18:18,480 --> 00:18:21,520 Speaker 1: it kind of comes together. The times stitches together a 354 00:18:21,520 --> 00:18:24,679 Speaker 1: picture where you have thirty high rises built in coastal 355 00:18:24,720 --> 00:18:27,679 Speaker 1: Miami from the late seventies to the late eighties, and 356 00:18:27,720 --> 00:18:31,360 Speaker 1: that the states of repair vary widely from building to building, 357 00:18:31,640 --> 00:18:33,760 Speaker 1: and so in every single one of these cases, we 358 00:18:33,840 --> 00:18:37,280 Speaker 1: actually don't have a very good idea of how are 359 00:18:37,320 --> 00:18:41,600 Speaker 1: these buildings doing. And the uneven enforcement in particular, given 360 00:18:41,640 --> 00:18:44,040 Speaker 1: a lot of the hurricanes and the codes that a 361 00:18:44,080 --> 00:18:46,360 Speaker 1: lot of these people have to come and abide by. 362 00:18:46,720 --> 00:18:49,800 Speaker 1: Makes it so that you have a situation where a 363 00:18:49,960 --> 00:18:53,280 Speaker 1: surf side could come through and the could come through 364 00:18:53,880 --> 00:18:58,959 Speaker 1: that situation through that chaos that have kind of just 365 00:18:59,000 --> 00:19:01,920 Speaker 1: described here, and it begins to make a lot more 366 00:19:01,920 --> 00:19:03,879 Speaker 1: sense because we always add like, how does this happen? 367 00:19:03,880 --> 00:19:05,679 Speaker 1: I mean, we have one hundred you know, one hundreds 368 00:19:05,680 --> 00:19:08,480 Speaker 1: something people who are likely have parroted, which is horrible. 369 00:19:08,520 --> 00:19:11,040 Speaker 1: And you know, we've seen now that we've had controlled demolition. 370 00:19:11,200 --> 00:19:13,399 Speaker 1: We have a video of that actually of one of 371 00:19:13,400 --> 00:19:16,600 Speaker 1: the second buildings nearby order to evacuate, and then this 372 00:19:16,760 --> 00:19:19,520 Speaker 1: eleven days actually the remaining part of the building there 373 00:19:19,800 --> 00:19:23,600 Speaker 1: which was demolished over safety concerns, and I mean, this 374 00:19:23,760 --> 00:19:26,000 Speaker 1: is oh god, I mean just look at that, and 375 00:19:26,200 --> 00:19:28,960 Speaker 1: it just those are people's lives, those are people's homes. 376 00:19:28,960 --> 00:19:30,760 Speaker 1: And you read about people who were standing on their 377 00:19:30,760 --> 00:19:33,480 Speaker 1: balconies and screaming, and there were children trapped in their 378 00:19:33,920 --> 00:19:36,000 Speaker 1: trapped in their beds and more. Some of that has 379 00:19:36,040 --> 00:19:40,760 Speaker 1: been confirmed. That nearby building order ordered evacuated because people 380 00:19:40,800 --> 00:19:43,560 Speaker 1: said that it might be vulnerable to the same forces. 381 00:19:43,600 --> 00:19:46,800 Speaker 1: There's also a video that came out hours before the 382 00:19:46,840 --> 00:19:50,960 Speaker 1: crash actually showing water pouring through the parking garage, which 383 00:19:51,000 --> 00:19:54,760 Speaker 1: could give investigators some more of an insight into what 384 00:19:54,880 --> 00:19:56,919 Speaker 1: happened here. But all of it does come together, and 385 00:19:56,960 --> 00:20:00,159 Speaker 1: it does paint a portrait of if you allow all 386 00:20:00,280 --> 00:20:02,960 Speaker 1: lacks enforcement and more, eventually a bill will come do 387 00:20:03,320 --> 00:20:05,879 Speaker 1: and that seems to be the case of what happened here. 388 00:20:05,880 --> 00:20:07,760 Speaker 1: It's actually a fascinating story going all the way back 389 00:20:07,800 --> 00:20:11,520 Speaker 1: to nineteen seventies Miami. So the big question on everybody's 390 00:20:11,560 --> 00:20:14,720 Speaker 1: minds after you know how many people perished and how 391 00:20:14,800 --> 00:20:18,040 Speaker 1: many lives were destroyed in this collapse, is is this 392 00:20:18,080 --> 00:20:21,040 Speaker 1: a one off? Is this a freak occurrence, or is 393 00:20:21,080 --> 00:20:23,479 Speaker 1: this something we need to be concerned about rit large. 394 00:20:23,800 --> 00:20:26,640 Speaker 1: The first indication that this might be a bigger problem 395 00:20:26,960 --> 00:20:29,800 Speaker 1: was when they evacuated that building, and the New York 396 00:20:29,840 --> 00:20:33,920 Speaker 1: Times reveals new details about why that second building was evacuated, 397 00:20:34,560 --> 00:20:36,160 Speaker 1: just to give you a little bit of background here. 398 00:20:36,200 --> 00:20:39,760 Speaker 1: In terms of the regulations, there are actually pretty stringent 399 00:20:40,119 --> 00:20:43,199 Speaker 1: building regulations, both in terms of when you're constructing the 400 00:20:43,240 --> 00:20:46,320 Speaker 1: building and then forty years after it's built, you're supposed 401 00:20:46,359 --> 00:20:51,240 Speaker 1: to submit this engineer thorough review that addresses if there's 402 00:20:51,280 --> 00:20:54,600 Speaker 1: any safety concern so that those can be ameliorated to 403 00:20:54,640 --> 00:20:57,280 Speaker 1: make sure that the building continues to be safe. One 404 00:20:57,280 --> 00:21:00,080 Speaker 1: of the things that the Times reveals here is that 405 00:21:00,080 --> 00:21:02,800 Speaker 1: that forty year requirement might be on the books, but 406 00:21:02,960 --> 00:21:06,359 Speaker 1: it is not really enforced at all. A lot of 407 00:21:06,400 --> 00:21:10,399 Speaker 1: these buildings that should have submitted their forty year report 408 00:21:10,440 --> 00:21:12,879 Speaker 1: by now just didn't do it. And then others of 409 00:21:12,960 --> 00:21:14,639 Speaker 1: them submitted the report it said they were problems and 410 00:21:14,680 --> 00:21:16,480 Speaker 1: they haven't fixed it, which was the case I think 411 00:21:16,880 --> 00:21:19,840 Speaker 1: with the building here in Surfside that actually collapsed, so 412 00:21:19,880 --> 00:21:22,920 Speaker 1: that second building that had to be evacuated over the 413 00:21:22,960 --> 00:21:25,760 Speaker 1: past couple of days. Here's the backstory there. They say 414 00:21:25,760 --> 00:21:28,240 Speaker 1: the city of North Miami Beach had tried and failed 415 00:21:28,240 --> 00:21:31,040 Speaker 1: for years to bring a ten story condo building within 416 00:21:31,080 --> 00:21:34,520 Speaker 1: its borders Crossview Towers into compliance with that forty year 417 00:21:34,560 --> 00:21:39,560 Speaker 1: recertification requirement. When the building's condo association finally submitted the 418 00:21:39,640 --> 00:21:44,320 Speaker 1: required paperwork last week, about nine years late. Nine years late, 419 00:21:44,800 --> 00:21:50,119 Speaker 1: it documented critical safety concerns. Officials evacuate the building on Friday, 420 00:21:50,160 --> 00:21:54,080 Speaker 1: So it took the collapse of the building and Surfside, 421 00:21:54,240 --> 00:21:57,720 Speaker 1: the loss of more than one hundred lives in order 422 00:21:58,119 --> 00:22:01,199 Speaker 1: to get this forty year report nine years late. The 423 00:22:01,320 --> 00:22:03,760 Speaker 1: very first page of the report said, this building is 424 00:22:03,800 --> 00:22:07,159 Speaker 1: not safe. Yeah, okay, that building is far from alone, 425 00:22:07,200 --> 00:22:10,119 Speaker 1: though they document and they have some great charts and 426 00:22:10,160 --> 00:22:13,280 Speaker 1: maps here that show the age of these different buildings. 427 00:22:13,320 --> 00:22:15,800 Speaker 1: And also, I guess a critical factor is how tall 428 00:22:15,880 --> 00:22:18,520 Speaker 1: they are. Makes logical sense. The taller the building, the 429 00:22:18,560 --> 00:22:21,120 Speaker 1: sort of more risks and the more potential safety hazards. 430 00:22:21,560 --> 00:22:25,439 Speaker 1: They say. Even if building auditors focus only on towers 431 00:22:25,440 --> 00:22:28,080 Speaker 1: of ten stories or more that were built in the 432 00:22:28,119 --> 00:22:31,000 Speaker 1: seventies and eighties, the task would still be daunting. An 433 00:22:31,000 --> 00:22:34,879 Speaker 1: analysis of property records shows at least two hundred and 434 00:22:35,080 --> 00:22:38,680 Speaker 1: seventy such buildings that dot the skylines of Miami Dade's 435 00:22:38,680 --> 00:22:41,280 Speaker 1: county cities, villages, and towns, with dozens more in the 436 00:22:41,280 --> 00:22:46,160 Speaker 1: county's unincorporated reaches. And again, the laws are on the books, 437 00:22:46,320 --> 00:22:50,200 Speaker 1: the regulations are on the books. Some buildings have basically 438 00:22:50,240 --> 00:22:54,320 Speaker 1: been like voluntarily complying, and a whole lot haven't been, 439 00:22:54,680 --> 00:22:57,520 Speaker 1: and the cities have either not had the resources or 440 00:22:57,560 --> 00:23:01,680 Speaker 1: the will or whatever to make sure that these forty 441 00:23:01,880 --> 00:23:05,400 Speaker 1: year researchs happen and that the relevant fixes are put 442 00:23:05,480 --> 00:23:09,199 Speaker 1: into place, So that question of whether this was a 443 00:23:09,200 --> 00:23:12,760 Speaker 1: one off or there's a broader, more dangerous situation down 444 00:23:12,840 --> 00:23:16,120 Speaker 1: here that impacts multiple buildings in an area that where 445 00:23:16,119 --> 00:23:18,159 Speaker 1: it's that's the reason they have these loss on the 446 00:23:18,200 --> 00:23:21,080 Speaker 1: books is you do have hurricanes and high winds and storms, 447 00:23:21,080 --> 00:23:23,800 Speaker 1: and you've got salt water, and you've got sand that 448 00:23:23,840 --> 00:23:25,480 Speaker 1: it's being build and then you layer on top of 449 00:23:25,520 --> 00:23:28,439 Speaker 1: that the impact of climate change. You really have to 450 00:23:28,480 --> 00:23:30,560 Speaker 1: be careful with these buildings and make sure that they 451 00:23:30,600 --> 00:23:32,760 Speaker 1: continue to be brought up to code and continue to 452 00:23:32,760 --> 00:23:36,119 Speaker 1: be structurally sound. So while again we don't know the 453 00:23:36,160 --> 00:23:39,560 Speaker 1: specifics exactly of why this building collapsed, we're getting a 454 00:23:39,640 --> 00:23:42,679 Speaker 1: view of the type of lax enforcement that may have 455 00:23:42,800 --> 00:23:46,159 Speaker 1: contributed and allowed these repairs to go unaddressed for so 456 00:23:46,240 --> 00:23:50,320 Speaker 1: many years. There was one other piece, a clue that 457 00:23:50,359 --> 00:23:52,720 Speaker 1: The Times covered in a different story as well, of 458 00:23:52,760 --> 00:23:55,560 Speaker 1: what may have been part of the problem with the building. 459 00:23:56,040 --> 00:23:58,919 Speaker 1: Some of the experts after the demolition, they were reviewing 460 00:23:59,200 --> 00:24:02,520 Speaker 1: photos and this is preliminary, this is not certain at all, 461 00:24:02,920 --> 00:24:05,159 Speaker 1: but it looked like in some of the columns, the 462 00:24:05,160 --> 00:24:08,600 Speaker 1: critical columns that supported the building, that there wasn't as 463 00:24:08,720 --> 00:24:12,640 Speaker 1: much rebar in there, reinforcing the concrete as had been 464 00:24:12,680 --> 00:24:17,080 Speaker 1: called for in the design. So this is one possible explanation. 465 00:24:17,800 --> 00:24:21,399 Speaker 1: Likely in all likelihood, there were multiple causes of this 466 00:24:21,520 --> 00:24:24,199 Speaker 1: failure that led to this catastrophic collapse, but that is 467 00:24:24,240 --> 00:24:26,880 Speaker 1: one specific thing that they're looking at as whether they 468 00:24:26,880 --> 00:24:29,480 Speaker 1: cut corners and didn't follow the design in the initial 469 00:24:29,520 --> 00:24:32,480 Speaker 1: construction of how much rebar needed to be in those 470 00:24:32,480 --> 00:24:34,480 Speaker 1: critical supporting columns. I think that's one of the most 471 00:24:34,480 --> 00:24:36,800 Speaker 1: important stories in the country. I think it's shameful how 472 00:24:36,800 --> 00:24:39,280 Speaker 1: it's been covered, and from a political angle, I actually 473 00:24:39,280 --> 00:24:41,919 Speaker 1: have been quite impressed by Governor Ron DeSantis in his 474 00:24:42,400 --> 00:24:44,479 Speaker 1: response to this. I'm not sure if you've seen this, Crystal, 475 00:24:44,480 --> 00:24:47,280 Speaker 1: but Trump actually held a rally in Florida, and there's 476 00:24:47,320 --> 00:24:51,159 Speaker 1: some background reporting that DeSantis was like, hey, man, like 477 00:24:51,280 --> 00:24:54,480 Speaker 1: you need to cancel this, like we have a horrible tragedy. 478 00:24:54,560 --> 00:24:58,360 Speaker 1: Trump apparently refused to do so, said look then I'm 479 00:24:58,359 --> 00:25:00,520 Speaker 1: not coming. He's like, I have to deal with surf 480 00:25:00,560 --> 00:25:03,679 Speaker 1: side and all that. Now. I seriously real props to him, 481 00:25:03,720 --> 00:25:05,960 Speaker 1: because there is actual political cost to that. I would 482 00:25:06,000 --> 00:25:08,040 Speaker 1: not put it outside of Trump to be angry that 483 00:25:08,080 --> 00:25:10,320 Speaker 1: DeSantis didn't show up or you know, having his staff 484 00:25:10,400 --> 00:25:13,120 Speaker 1: lead at that he didn't help. Yeah, right, get angry 485 00:25:13,160 --> 00:25:14,960 Speaker 1: at DeSantis for leaking the fact that he's like, hey, 486 00:25:14,960 --> 00:25:17,359 Speaker 1: I kind of don't want to do this, and DeSantis, 487 00:25:17,400 --> 00:25:19,960 Speaker 1: I know this is absolute bottom of the barrel. He 488 00:25:20,000 --> 00:25:22,880 Speaker 1: did appear at that press conference with Biden sat next 489 00:25:22,880 --> 00:25:24,320 Speaker 1: to him and was like, thank you very much for 490 00:25:24,359 --> 00:25:26,760 Speaker 1: doing everything that we've asked you to do. Think back 491 00:25:26,760 --> 00:25:28,560 Speaker 1: to Chris Christie and how people were pissed at him 492 00:25:28,600 --> 00:25:30,920 Speaker 1: in twenty twelve, well for what was hugging over the 493 00:25:31,000 --> 00:25:34,760 Speaker 1: game though Obama hugged him. If my own political advice, 494 00:25:34,880 --> 00:25:40,280 Speaker 1: the right Christie for losing Christie's hugg but one of 495 00:25:40,400 --> 00:25:43,439 Speaker 1: obama reelection that stuff actually does matter. And so I 496 00:25:43,480 --> 00:25:46,000 Speaker 1: will give absolute credit to the man where just do 497 00:25:46,240 --> 00:25:48,119 Speaker 1: He has acted like an actual leader here and it 498 00:25:48,160 --> 00:25:50,360 Speaker 1: is from what I can tell him and his staff, 499 00:25:50,760 --> 00:25:53,040 Speaker 1: the I think it's a reckoning there down in South 500 00:25:53,040 --> 00:25:55,880 Speaker 1: Florida construction. So for a lot, lot a lot of money, 501 00:25:55,920 --> 00:25:59,000 Speaker 1: for a lot of years not submit voluntarily only not 502 00:25:59,080 --> 00:26:02,359 Speaker 1: submitting there inspection reports bills come and do here because 503 00:26:02,560 --> 00:26:04,280 Speaker 1: they cannot allow this to happen. I mean they need 504 00:26:04,400 --> 00:26:06,880 Speaker 1: in order to prop up their tours in industry. Florida 505 00:26:06,960 --> 00:26:09,000 Speaker 1: is currently I think the second state where people are 506 00:26:09,000 --> 00:26:12,200 Speaker 1: moving the most, from New York City and California. And 507 00:26:12,240 --> 00:26:14,160 Speaker 1: this is the type of stuff which could absolutely stop 508 00:26:14,200 --> 00:26:16,159 Speaker 1: people in the tracks from coming if they think that 509 00:26:16,200 --> 00:26:17,440 Speaker 1: this is going to be an issue. So it's a 510 00:26:17,440 --> 00:26:20,200 Speaker 1: big problemly going to depress some prices in like these 511 00:26:20,280 --> 00:26:22,520 Speaker 1: high rise condos bills in the seventies and eighties. I 512 00:26:22,560 --> 00:26:24,280 Speaker 1: wouldn't be moving in one of those babies. Maybe now 513 00:26:24,280 --> 00:26:28,560 Speaker 1: it's time to buy on brickl It's actually a cool view. Okay. Hey, 514 00:26:28,600 --> 00:26:32,160 Speaker 1: so remember how we told you how awesome premium membership was. Well, 515 00:26:32,200 --> 00:26:34,359 Speaker 1: here we are again to remind you that becoming a 516 00:26:34,359 --> 00:26:37,040 Speaker 1: premium member means you don't have to listen to our 517 00:26:37,119 --> 00:26:39,920 Speaker 1: constant pleas for you to subscribe. So what are you 518 00:26:39,920 --> 00:26:42,520 Speaker 1: waiting for? Become a premium member today? By going to 519 00:26:42,600 --> 00:26:44,960 Speaker 1: Breakingpoints dot com, which you can click on in the 520 00:26:45,000 --> 00:26:48,800 Speaker 1: show notes, you found this interesting story from Amazon, I mean, 521 00:26:48,880 --> 00:26:51,760 Speaker 1: just more dystopian nightmare from them. I wanted to cover 522 00:26:51,800 --> 00:26:55,320 Speaker 1: this today because actually it's Jeff Bezos is officially no 523 00:26:55,440 --> 00:26:58,560 Speaker 1: longer the CEO of Amazon, and it's kind of amazing 524 00:26:58,680 --> 00:27:02,320 Speaker 1: to see what exactly has happened since the year nineteen 525 00:27:02,440 --> 00:27:04,720 Speaker 1: ninety seven. I mean, Jeff Bezos was this guy working 526 00:27:04,720 --> 00:27:08,879 Speaker 1: in private equity, drives across the country, famously creates the bookstore, 527 00:27:08,920 --> 00:27:11,119 Speaker 1: but always has this vision of his head of the 528 00:27:11,240 --> 00:27:13,800 Speaker 1: everything store, And in a way, what he's created is 529 00:27:13,880 --> 00:27:17,160 Speaker 1: kind of amazing. But there's a big downside to packages 530 00:27:17,200 --> 00:27:19,520 Speaker 1: that come to your house within eight hours. Sometimes I 531 00:27:19,560 --> 00:27:21,679 Speaker 1: look at that and I'm like, how is this impossible? 532 00:27:21,720 --> 00:27:23,800 Speaker 1: Right now, I know how it's possible, and I think 533 00:27:23,800 --> 00:27:25,800 Speaker 1: all of us have to really reckon with what this 534 00:27:25,920 --> 00:27:29,760 Speaker 1: means for millions of people. Amazon is the second largest 535 00:27:29,800 --> 00:27:33,720 Speaker 1: employer in the United States. Think about how much impact 536 00:27:33,760 --> 00:27:36,240 Speaker 1: they have on our labor market. They have grown by 537 00:27:36,359 --> 00:27:39,560 Speaker 1: orders of magnitude during the pandemic. They are probably, in 538 00:27:39,640 --> 00:27:42,600 Speaker 1: my opinion, the most powerful company in the United States, 539 00:27:42,640 --> 00:27:45,520 Speaker 1: even more so than Walmart, because they have online plus 540 00:27:45,560 --> 00:27:47,679 Speaker 1: the retail for So, let's put this up there on 541 00:27:47,680 --> 00:27:50,679 Speaker 1: the screen. This is from Bloomberg, which is fired by bot. 542 00:27:50,840 --> 00:27:54,359 Speaker 1: It's you against the machine and what Bloomberg here does. 543 00:27:54,440 --> 00:27:56,520 Speaker 1: This is a really good piece of reporting. Is talk 544 00:27:56,560 --> 00:28:01,160 Speaker 1: about how contract drivers say that algorithms terminate them by email, 545 00:28:01,520 --> 00:28:04,640 Speaker 1: even when they have done nothing wrong. He talks about 546 00:28:04,640 --> 00:28:06,880 Speaker 1: how a sixty three year old Army veteran was stunned. 547 00:28:07,040 --> 00:28:10,200 Speaker 1: He had been working in delivering packages for Amazon for 548 00:28:10,240 --> 00:28:14,080 Speaker 1: four years. The algorithms had tracking him decided he was 549 00:28:14,119 --> 00:28:17,160 Speaker 1: not doing his job properly. He had been fired by 550 00:28:17,200 --> 00:28:19,920 Speaker 1: a machine. He said that he took the termination hard. 551 00:28:20,119 --> 00:28:23,040 Speaker 1: He had prided himself on a strong worth that work ethic, 552 00:28:23,240 --> 00:28:25,480 Speaker 1: and he helped cook for two hundred and fifty thousand 553 00:28:25,600 --> 00:28:29,440 Speaker 1: Vietnamese refugees at Fort Chaffee in Arkansas. He says, I'm 554 00:28:29,440 --> 00:28:31,360 Speaker 1: an old school kind of guy. I gave every job 555 00:28:31,400 --> 00:28:33,680 Speaker 1: one hundred and ten percent. This really upset me because 556 00:28:33,680 --> 00:28:36,119 Speaker 1: we're talking about my reputation. They say I didn't do 557 00:28:36,160 --> 00:28:38,280 Speaker 1: the job when I know damn well that I did. 558 00:28:38,560 --> 00:28:41,080 Speaker 1: And here's I think the craziest part. He has no 559 00:28:41,200 --> 00:28:44,920 Speaker 1: idea why he was fired zero, just that they determined, 560 00:28:45,000 --> 00:28:47,960 Speaker 1: relative to other drivers and more, that he wasn't doing 561 00:28:48,000 --> 00:28:51,520 Speaker 1: the job properly. And what's even crazier is that Amazon 562 00:28:51,640 --> 00:28:55,160 Speaker 1: doesn't actually control this. It's all well, it's third party 563 00:28:55,240 --> 00:28:59,760 Speaker 1: contracted out to another company which oversees their contract drivers 564 00:29:00,040 --> 00:29:03,240 Speaker 1: and the performance then of its workers. Now, people familiar 565 00:29:03,320 --> 00:29:07,880 Speaker 1: with the strategy say that Jeff Bezos believes that machines 566 00:29:08,120 --> 00:29:12,960 Speaker 1: make decisions more quickly and accurately than people, reducing costs 567 00:29:13,200 --> 00:29:16,440 Speaker 1: and giving Amazon a competitive advantage. Now maybe he's right, 568 00:29:16,680 --> 00:29:20,120 Speaker 1: but that reducing costs and competitive advantage it comes exactly 569 00:29:20,160 --> 00:29:22,240 Speaker 1: at the price of having somebody like a sixty three 570 00:29:22,280 --> 00:29:24,880 Speaker 1: year old Army veteran who is fired. I mean, being 571 00:29:24,960 --> 00:29:26,560 Speaker 1: fired from your job is one I think they say 572 00:29:26,600 --> 00:29:29,560 Speaker 1: it's up there the second most amount of stress, except 573 00:29:29,560 --> 00:29:32,840 Speaker 1: for divorce, that a person can experience in their life. 574 00:29:32,960 --> 00:29:36,320 Speaker 1: And this is now happening on the scale of tens 575 00:29:36,360 --> 00:29:40,040 Speaker 1: of thousands of people all across the United States who 576 00:29:40,040 --> 00:29:42,360 Speaker 1: are being tracked by algorithms. And I want to make 577 00:29:42,360 --> 00:29:45,760 Speaker 1: sure that people know this. It's not just Amazon. Remember 578 00:29:45,920 --> 00:29:48,640 Speaker 1: I talked about this on Rogan's podcast. Walmart just said 579 00:29:48,800 --> 00:29:51,080 Speaker 1: we're going to give all our employees, seven hundred thousand 580 00:29:51,120 --> 00:29:53,920 Speaker 1: employees a new Samsung smartphone. People are like, hey, cool, 581 00:29:54,000 --> 00:29:56,320 Speaker 1: now I get a smartphone checked in the permissions of 582 00:29:56,360 --> 00:29:58,600 Speaker 1: all of those They can track you. If they have 583 00:29:58,640 --> 00:30:00,520 Speaker 1: that thing in your pocket, they know everything about you, 584 00:30:00,560 --> 00:30:02,920 Speaker 1: how many steps you're taking, how fast you're working, how 585 00:30:02,960 --> 00:30:05,120 Speaker 1: long your break really was, and more. This is the 586 00:30:05,120 --> 00:30:10,040 Speaker 1: beginning of automated firing, of automated tracking on a scale 587 00:30:10,040 --> 00:30:13,120 Speaker 1: that people really have not even understood. Amazon's been at 588 00:30:13,120 --> 00:30:15,680 Speaker 1: the forefront of this, and unfortunately, I think this is 589 00:30:15,720 --> 00:30:17,880 Speaker 1: just the tip of the sphere of what's coming. I 590 00:30:17,920 --> 00:30:20,040 Speaker 1: think the government should do something about it. Amazon is 591 00:30:20,040 --> 00:30:23,400 Speaker 1: at the forefront. They're at the bleeding edge of this 592 00:30:23,520 --> 00:30:26,560 Speaker 1: type of inhumane treatment of workers. I've long believed that 593 00:30:26,600 --> 00:30:29,560 Speaker 1: the biggest divide in this country is people who are 594 00:30:29,560 --> 00:30:32,400 Speaker 1: actually treated like human beings with wants and needs and 595 00:30:32,480 --> 00:30:35,880 Speaker 1: dreams and desires and concerns outside of the workplace, and 596 00:30:35,960 --> 00:30:39,320 Speaker 1: people who were treated like they're not like they're human, 597 00:30:39,480 --> 00:30:41,720 Speaker 1: not even human, that they're bots and widgets to be 598 00:30:41,760 --> 00:30:45,800 Speaker 1: plugged in and used and abused. And Amazon, what we know, 599 00:30:46,000 --> 00:30:48,600 Speaker 1: what we have covered and documented time and time again, 600 00:30:49,200 --> 00:30:53,560 Speaker 1: is that is exactly how they treat their blue collar workforce. 601 00:30:53,800 --> 00:30:56,440 Speaker 1: They intentionally use them up. There's even a time for 602 00:30:56,560 --> 00:30:58,920 Speaker 1: three years they think basically basic and this comes from 603 00:30:58,960 --> 00:31:01,280 Speaker 1: the top. It's come from Basis who believes that after 604 00:31:01,320 --> 00:31:03,920 Speaker 1: three years a warehouse worker is basically done. They put 605 00:31:03,960 --> 00:31:06,240 Speaker 1: all these incentives in place to push them out the door, 606 00:31:06,760 --> 00:31:10,000 Speaker 1: give them absolutely very very little ability to rise through 607 00:31:10,000 --> 00:31:12,800 Speaker 1: the ranks to a higher level position, and so people 608 00:31:12,840 --> 00:31:16,040 Speaker 1: get frustrated and they just have an intentional high rate 609 00:31:16,240 --> 00:31:19,560 Speaker 1: of burnout and churn. What you learn here is some 610 00:31:19,640 --> 00:31:23,600 Speaker 1: of the even more sort of like dehumanizing tactics that 611 00:31:23,640 --> 00:31:27,200 Speaker 1: are being used. This is specific to what they call 612 00:31:27,320 --> 00:31:30,880 Speaker 1: flex drivers in that program. It's sort of like it's 613 00:31:30,960 --> 00:31:33,360 Speaker 1: like a gig economy type of thing where you're not 614 00:31:33,400 --> 00:31:36,560 Speaker 1: one of the regular Amazon delivery drivers, but you go 615 00:31:36,600 --> 00:31:39,240 Speaker 1: and get the packages that the truck had to leave 616 00:31:39,280 --> 00:31:41,880 Speaker 1: before these last packages made it onto the truck, and 617 00:31:41,920 --> 00:31:44,480 Speaker 1: so these are the delivers that you're doing. They profiled 618 00:31:44,520 --> 00:31:47,920 Speaker 1: two different individuals here. The gentleman that you mentioned, who 619 00:31:48,040 --> 00:31:52,120 Speaker 1: the reason that he thinks he got fired by automated 620 00:31:52,280 --> 00:31:55,920 Speaker 1: message with no ability really to appeal to anything other 621 00:31:56,000 --> 00:32:00,239 Speaker 1: than an additional series of bots and automated messages, is 622 00:32:00,240 --> 00:32:03,840 Speaker 1: because he arrived in an apartment complex. The complex wasn't 623 00:32:03,920 --> 00:32:06,920 Speaker 1: open yet, the gates were still locked. He's trying to 624 00:32:06,920 --> 00:32:09,560 Speaker 1: figure out what to do. There was no one to call, 625 00:32:09,720 --> 00:32:11,880 Speaker 1: There was no manager call, couldn't get the customer on 626 00:32:11,920 --> 00:32:14,160 Speaker 1: the phone you're supposed to leave it in that case 627 00:32:14,240 --> 00:32:16,120 Speaker 1: is at the front desk. The front desk isn't open, 628 00:32:16,400 --> 00:32:18,760 Speaker 1: so that sets in behind. And of course, like every 629 00:32:18,800 --> 00:32:22,160 Speaker 1: aspect of Amazon, everything is tracked, everything is monitored. You 630 00:32:22,240 --> 00:32:24,200 Speaker 1: have a certain amount of time that it's supposed to 631 00:32:24,240 --> 00:32:27,320 Speaker 1: take you to perform these tasks. And it doesn't matter 632 00:32:27,360 --> 00:32:30,440 Speaker 1: if there's massive traffic, if the apartment building's locked. In 633 00:32:30,480 --> 00:32:33,360 Speaker 1: another instance, there was a locker that the package was 634 00:32:33,400 --> 00:32:35,800 Speaker 1: supposed to be left in. While the locker was locked, 635 00:32:36,000 --> 00:32:37,800 Speaker 1: there was nothing he could do. So he's calling, he's 636 00:32:37,800 --> 00:32:40,400 Speaker 1: trying to figure out what to do. He documented all 637 00:32:40,440 --> 00:32:42,520 Speaker 1: of these things, and this is after years of working 638 00:32:42,520 --> 00:32:46,360 Speaker 1: for the company reliably and delivering and even being praised 639 00:32:46,400 --> 00:32:49,680 Speaker 1: and considered for a position training other drivers because he'd 640 00:32:49,720 --> 00:32:53,400 Speaker 1: done such an effective job. Just like that, they let 641 00:32:53,480 --> 00:32:56,000 Speaker 1: him go. And when you try to appeal, you get 642 00:32:56,040 --> 00:33:01,200 Speaker 1: back these fake, automated, precanned messages. There's no ability to 643 00:33:01,320 --> 00:33:03,400 Speaker 1: actually talk to a human being and say, look, this 644 00:33:03,480 --> 00:33:06,000 Speaker 1: is what happened here. This is my lively. Any boss 645 00:33:06,000 --> 00:33:07,520 Speaker 1: who heard that would be like, oh, I don't worry 646 00:33:07,520 --> 00:33:09,560 Speaker 1: about it, man, all good. Yeah, And you have this 647 00:33:09,640 --> 00:33:12,400 Speaker 1: long track record of total loyalty to the company, in 648 00:33:12,480 --> 00:33:15,640 Speaker 1: total effective delivery, in terms of your job. It's another 649 00:33:15,680 --> 00:33:20,440 Speaker 1: woman who almost lost her home because similar circumstances where 650 00:33:20,480 --> 00:33:23,280 Speaker 1: it was really outside of her control what was thrown 651 00:33:23,320 --> 00:33:25,719 Speaker 1: at her, and she went from having a great rating 652 00:33:26,000 --> 00:33:29,400 Speaker 1: in the Amazon app to being fired overnight. The thing 653 00:33:29,440 --> 00:33:31,640 Speaker 1: that really got me, though, is they talk about how 654 00:33:31,640 --> 00:33:34,920 Speaker 1: the executives knew that there would be what they called 655 00:33:35,120 --> 00:33:38,880 Speaker 1: collateral damage. That's according to a former engineer who helped 656 00:33:38,920 --> 00:33:43,200 Speaker 1: design this automated system, quote, executives knew this was going 657 00:33:43,280 --> 00:33:45,880 Speaker 1: to shit the bed, this person said. That's actually how 658 00:33:45,920 --> 00:33:48,640 Speaker 1: they put it in meetings. The only question was how 659 00:33:48,680 --> 00:33:52,440 Speaker 1: much pooh we wanted there to be. So they knew 660 00:33:52,720 --> 00:33:55,800 Speaker 1: that some drivers like the two individuals who are profiled here, 661 00:33:56,040 --> 00:34:00,880 Speaker 1: would be cast aside, fired wrongfully, have their lives turned 662 00:34:01,000 --> 00:34:05,440 Speaker 1: upside down, total stress, potential loss of home, all of 663 00:34:05,480 --> 00:34:09,200 Speaker 1: that stuff. That there would be collateral damage, but they 664 00:34:09,239 --> 00:34:12,680 Speaker 1: didn't care, because that's what when you're this giant, multinational 665 00:34:12,680 --> 00:34:14,919 Speaker 1: corporation and all you care about is the bottom line, 666 00:34:14,960 --> 00:34:17,600 Speaker 1: you say, well, are we gonna save a little bit 667 00:34:17,600 --> 00:34:20,280 Speaker 1: more money? Right then we are going to cause pain, 668 00:34:20,520 --> 00:34:22,319 Speaker 1: Like is this going to be not good for us. 669 00:34:22,400 --> 00:34:24,600 Speaker 1: Who cares about this? You know one or five or 670 00:34:24,640 --> 00:34:27,160 Speaker 1: ten percent or whatever of workers who are treated so 671 00:34:27,840 --> 00:34:32,359 Speaker 1: terribly and fired wrongfully again by a bot. So that 672 00:34:32,520 --> 00:34:37,520 Speaker 1: is the like heartless, soulless, cold hard calculation at the 673 00:34:37,560 --> 00:34:40,480 Speaker 1: center of all of this that the executives were totally 674 00:34:40,560 --> 00:34:42,880 Speaker 1: aware of and totally cool with. This is why you 675 00:34:42,880 --> 00:34:47,120 Speaker 1: should care. Amazon employees one point three million people across 676 00:34:47,160 --> 00:34:51,800 Speaker 1: the world, added five hundred thousand workers in twenty twenty. 677 00:34:52,000 --> 00:34:55,200 Speaker 1: Their head count is up sixty three percent from just 678 00:34:55,239 --> 00:34:58,400 Speaker 1: a year ago. They're actually just getting started. They hire 679 00:34:58,440 --> 00:35:02,280 Speaker 1: seven hundred people every hour now here in the United States. 680 00:35:02,480 --> 00:35:05,319 Speaker 1: Think about this too, which is that I've thought a 681 00:35:05,320 --> 00:35:08,680 Speaker 1: lot about if you're sixteen in this country, and especially 682 00:35:08,719 --> 00:35:10,320 Speaker 1: if you don't decide you don't want to go to college, 683 00:35:10,360 --> 00:35:12,600 Speaker 1: which is more than half, what do you think you're 684 00:35:12,640 --> 00:35:15,800 Speaker 1: gonna do now? In the past, there was a semi 685 00:35:15,880 --> 00:35:18,200 Speaker 1: variety of options if you want to stay in your hometown, 686 00:35:18,440 --> 00:35:20,279 Speaker 1: the various trade work and stuff that you could pick 687 00:35:20,360 --> 00:35:23,760 Speaker 1: up other types other types of work which would enable 688 00:35:23,840 --> 00:35:26,480 Speaker 1: you to live not necessarily middle class, but not too 689 00:35:26,480 --> 00:35:31,080 Speaker 1: far away, a decent enough life. As the amazonification of America, 690 00:35:31,160 --> 00:35:34,239 Speaker 1: which has followed the wall mortification of America happens, it 691 00:35:34,320 --> 00:35:37,680 Speaker 1: will soon be. In my opinion, Amazon will basically be 692 00:35:37,760 --> 00:35:39,920 Speaker 1: the only choice if you do not live in an 693 00:35:40,040 --> 00:35:43,520 Speaker 1: urban a suburban district. All of the economic activity sucked out, 694 00:35:43,880 --> 00:35:46,719 Speaker 1: all of the rural parts of this country becoming serviceable 695 00:35:47,000 --> 00:35:50,480 Speaker 1: only because of their proximity to other big cities. I 696 00:35:50,520 --> 00:35:54,800 Speaker 1: remember reading this in Alec mcgillis's book on Amazon Dayton, Ohio, 697 00:35:54,840 --> 00:35:57,000 Speaker 1: which at the time I mean one hundred years ago, Dayton, 698 00:35:57,040 --> 00:35:59,720 Speaker 1: Ohio was one of the Silicon Valleys of the United 699 00:35:59,719 --> 00:36:02,400 Speaker 1: States in terms of how much manufacturing output and some 700 00:36:02,440 --> 00:36:05,600 Speaker 1: of the inventions that happened there. Well, now it is 701 00:36:05,760 --> 00:36:09,759 Speaker 1: known as the corrugated cardboard capital of America and as 702 00:36:09,760 --> 00:36:12,879 Speaker 1: a great distribution point because it's a one at one 703 00:36:12,920 --> 00:36:16,040 Speaker 1: day drive from one third of the US population. As in, 704 00:36:16,280 --> 00:36:19,440 Speaker 1: the economic value of Dayton only comes from the fact 705 00:36:19,600 --> 00:36:23,000 Speaker 1: that it is near places where other people want to live. 706 00:36:23,360 --> 00:36:25,799 Speaker 1: Now that's going to happen to everyone. And if you 707 00:36:25,880 --> 00:36:28,520 Speaker 1: make it so that your first job is not about 708 00:36:28,520 --> 00:36:30,640 Speaker 1: a grocery store. If it is a grocery store, maybe 709 00:36:30,680 --> 00:36:33,879 Speaker 1: Amazon owns that grocery store. If it is grocery. Maybe 710 00:36:33,880 --> 00:36:37,239 Speaker 1: it's delivering groceries for Amazon delivery. If it is a 711 00:36:37,280 --> 00:36:39,600 Speaker 1: warehouse job, and hey, fifteen dollars an hour in a 712 00:36:39,640 --> 00:36:41,560 Speaker 1: rural part of this country, that's a lot of money. 713 00:36:41,560 --> 00:36:43,759 Speaker 1: Fifteen dollars an hour, seventeen dollars an hour. You may 714 00:36:43,760 --> 00:36:45,520 Speaker 1: not have a say, you may get fired by a bot, 715 00:36:45,680 --> 00:36:48,000 Speaker 1: but that's okay. So you go in, you work for Amazon, 716 00:36:48,000 --> 00:36:50,400 Speaker 1: and you can just see how this scales up all 717 00:36:50,440 --> 00:36:54,040 Speaker 1: across the country. This company is moving at a pace 718 00:36:54,280 --> 00:36:56,880 Speaker 1: that we haven't come to grips with because of the pandemic. 719 00:36:56,960 --> 00:36:59,960 Speaker 1: Sixty three percent year over year increase in employment alone, 720 00:37:00,080 --> 00:37:01,360 Speaker 1: what's that going to look the next year and the 721 00:37:01,360 --> 00:37:03,960 Speaker 1: next year. Soon, I think it'll be the largest employer 722 00:37:04,200 --> 00:37:06,839 Speaker 1: in the United States, and even more so after that. 723 00:37:06,960 --> 00:37:09,760 Speaker 1: I already think it's the most powerful company in the world. 724 00:37:09,800 --> 00:37:12,799 Speaker 1: And today is Jeff Bezos' last day as CEO. In 725 00:37:12,840 --> 00:37:15,080 Speaker 1: a way, he built one of the greatest companies the 726 00:37:15,120 --> 00:37:17,439 Speaker 1: world has ever seen. But at a certain point, it's 727 00:37:17,480 --> 00:37:19,200 Speaker 1: like with the you know, the graph, you begin to 728 00:37:19,239 --> 00:37:21,759 Speaker 1: intersect with what is good for this country versus the 729 00:37:21,760 --> 00:37:24,560 Speaker 1: bottom line of Amazon, And I think what we've passed 730 00:37:24,560 --> 00:37:27,200 Speaker 1: that point not too long ago. In terms of why 731 00:37:27,200 --> 00:37:28,960 Speaker 1: we should all be concerned. People ask why we talk 732 00:37:28,960 --> 00:37:30,640 Speaker 1: about it so much, because this is the future, this 733 00:37:30,719 --> 00:37:32,640 Speaker 1: is where things are trending, and I hope people get 734 00:37:32,640 --> 00:37:34,840 Speaker 1: their minds around that. And it's a picture of total 735 00:37:34,960 --> 00:37:37,759 Speaker 1: and complete worker powerlessness. Yes, there's no one you can 736 00:37:37,800 --> 00:37:41,360 Speaker 1: appeal to, there's no union to file a grievance. You 737 00:37:41,400 --> 00:37:45,040 Speaker 1: can't even get a human being on the phone to say, look, 738 00:37:45,080 --> 00:37:48,200 Speaker 1: this is what was going on that day that what 739 00:37:48,440 --> 00:37:53,200 Speaker 1: is that feeling of powerlessness and inability to do anything 740 00:37:53,400 --> 00:37:55,840 Speaker 1: when you know you did everything by the book, that 741 00:37:55,880 --> 00:37:59,920 Speaker 1: you did everything right. That is just so soul crushing 742 00:38:00,120 --> 00:38:03,279 Speaker 1: and so destroying. That's why the story really landed so 743 00:38:03,400 --> 00:38:05,719 Speaker 1: much with me. At the same time, another story that 744 00:38:05,760 --> 00:38:08,680 Speaker 1: really lands with me, speaking of lack of power, lacking path, 745 00:38:08,840 --> 00:38:11,759 Speaker 1: very good transition there is what's been going on with 746 00:38:11,960 --> 00:38:16,200 Speaker 1: Britney Spears. And so last week, of course, we were 747 00:38:16,239 --> 00:38:21,480 Speaker 1: all riveted by the searing testimony that she gave. Britney Spears, 748 00:38:21,480 --> 00:38:24,480 Speaker 1: who is thirty nine years old, we really haven't heard 749 00:38:24,600 --> 00:38:28,720 Speaker 1: in her words what her life has been like since 750 00:38:28,760 --> 00:38:32,120 Speaker 1: two thousand and eight when she was put into this conservatorship, 751 00:38:32,400 --> 00:38:36,040 Speaker 1: which means that her dad and a team of other 752 00:38:36,440 --> 00:38:41,600 Speaker 1: basically grifters control her every move her life, her career, 753 00:38:41,920 --> 00:38:44,840 Speaker 1: whether she's working or not working, whether she can have 754 00:38:44,880 --> 00:38:46,920 Speaker 1: a kid, whether she can have a boyfriend, all of 755 00:38:46,960 --> 00:38:49,200 Speaker 1: the whether she can have a cell phone, who her 756 00:38:49,600 --> 00:38:51,920 Speaker 1: own legal counsel is going to be. All of that. 757 00:38:52,320 --> 00:38:54,640 Speaker 1: We really haven't heard directly from Brittany, so we heard 758 00:38:54,640 --> 00:38:57,880 Speaker 1: her searing testimony about how horrific that has been for 759 00:38:58,000 --> 00:39:00,640 Speaker 1: her and how she just wants to have a normal 760 00:39:00,680 --> 00:39:04,040 Speaker 1: life and be able to make some decisions for herself. 761 00:39:04,760 --> 00:39:08,000 Speaker 1: Ronan Farah and Gia Tolentino at The New Yorker have 762 00:39:08,160 --> 00:39:12,799 Speaker 1: done a major expose here in The New Yorker with 763 00:39:13,320 --> 00:39:16,239 Speaker 1: some major revelations. I'm going to go through a few 764 00:39:16,239 --> 00:39:19,719 Speaker 1: of them. It's a relatively long piece, but the portrait 765 00:39:19,800 --> 00:39:22,560 Speaker 1: it paints is deeply troubling. I mean, this is a 766 00:39:22,600 --> 00:39:26,839 Speaker 1: portrait of the way that American capitalism has chewed up 767 00:39:26,880 --> 00:39:29,279 Speaker 1: and spit out one of our top stars. This is 768 00:39:29,320 --> 00:39:32,799 Speaker 1: a story of the way that power and money completely 769 00:39:32,840 --> 00:39:35,960 Speaker 1: corrupted and tore apart this family. It's a story of 770 00:39:36,000 --> 00:39:40,080 Speaker 1: how all of these bloodsuckers have been leeching off and 771 00:39:40,160 --> 00:39:43,760 Speaker 1: living off of Brittany while she herself has she's actually 772 00:39:43,920 --> 00:39:49,320 Speaker 1: her lawyer gets paid more than she herself is given 773 00:39:49,600 --> 00:39:52,160 Speaker 1: in living expenses. Just to give you a sense of 774 00:39:52,200 --> 00:39:54,799 Speaker 1: how absurd this situation is. And oh, by the way, 775 00:39:54,800 --> 00:39:58,120 Speaker 1: and this I thought was also really galling. Her dad 776 00:39:58,520 --> 00:40:03,319 Speaker 1: has used her to hire pr professionals to try to 777 00:40:03,520 --> 00:40:07,799 Speaker 1: keep control of the conservatorship and push back on any 778 00:40:08,440 --> 00:40:12,440 Speaker 1: any of Brittany or anyone else's, you know, questions and 779 00:40:12,520 --> 00:40:16,520 Speaker 1: concerns about what exactly is going on here. The big 780 00:40:16,560 --> 00:40:20,120 Speaker 1: context is, while her every move has been controlled, and 781 00:40:20,160 --> 00:40:23,080 Speaker 1: while the courts continue to insist that she's unable to 782 00:40:23,120 --> 00:40:26,960 Speaker 1: make any of her own decisions. In this conservatorship, she's 783 00:40:27,080 --> 00:40:30,960 Speaker 1: released four albums, headlined a global tour that grows to 784 00:40:31,000 --> 00:40:34,120 Speaker 1: one hundred and thirty one million dollars, and performed for 785 00:40:34,239 --> 00:40:38,759 Speaker 1: four years in a hit Las Vegas residency. Yet even 786 00:40:38,800 --> 00:40:42,799 Speaker 1: while she's able to clearly do all of that effectively 787 00:40:42,960 --> 00:40:46,720 Speaker 1: and make a lot of money, her conservators, including her father, 788 00:40:46,960 --> 00:40:51,239 Speaker 1: have controlled her spending, communications, and personal decisions. And last week, 789 00:40:51,320 --> 00:40:56,040 Speaker 1: even after that seering testimony from Brittany herself, the judge 790 00:40:56,080 --> 00:41:00,560 Speaker 1: denied her request to remove her dad, who she paints 791 00:41:00,600 --> 00:41:04,000 Speaker 1: as particularly abusive, and there are some details regarding that 792 00:41:04,080 --> 00:41:07,080 Speaker 1: in this piece as well, to remove him from being 793 00:41:07,160 --> 00:41:11,040 Speaker 1: in charge of her finances. A couple things about him 794 00:41:11,080 --> 00:41:14,160 Speaker 1: that are revealed in this piece. First of all, there's 795 00:41:14,200 --> 00:41:18,680 Speaker 1: a moment after Brittany had, you know, one of these, 796 00:41:18,800 --> 00:41:21,000 Speaker 1: whether it was a mental health crisis or whether it 797 00:41:21,040 --> 00:41:23,600 Speaker 1: was people around her wanting her to paint her as crazy. 798 00:41:23,800 --> 00:41:27,520 Speaker 1: After one of these incidents, they're all gathered together and 799 00:41:28,360 --> 00:41:32,359 Speaker 1: one of Britney's longtime like a family friend, recounts that 800 00:41:32,440 --> 00:41:35,040 Speaker 1: her dad was sitting there at a desk, flat screen 801 00:41:35,080 --> 00:41:38,920 Speaker 1: TV was playing nearby, and her dad said to her baby, 802 00:41:39,080 --> 00:41:40,839 Speaker 1: and the friend said, I thought he was going to say, 803 00:41:40,840 --> 00:41:42,360 Speaker 1: we love you, but you need help, But what he 804 00:41:42,440 --> 00:41:46,040 Speaker 1: said was you're fat. Daddy's gonna get you on a 805 00:41:46,120 --> 00:41:49,040 Speaker 1: diet and a trainer and you're gonna get back in shape. 806 00:41:49,320 --> 00:41:51,359 Speaker 1: You see that TV over there, you know what it's 807 00:41:51,400 --> 00:41:53,359 Speaker 1: gonna say. In eight weeks, that's going to be you 808 00:41:53,400 --> 00:41:56,680 Speaker 1: on there, and they're gonna say she's back. He also 809 00:41:56,840 --> 00:41:59,640 Speaker 1: screamed at Brittany's mother, who was trying to push back 810 00:41:59,640 --> 00:42:01,600 Speaker 1: on some of the decisions, but comes off as kind 811 00:42:01,600 --> 00:42:04,759 Speaker 1: of like well intentioned but too weak to really take 812 00:42:04,800 --> 00:42:06,640 Speaker 1: control of the situation. Doesn't want to catch any of 813 00:42:06,680 --> 00:42:08,839 Speaker 1: the blame, so she let a lot of this transpires 814 00:42:08,840 --> 00:42:11,440 Speaker 1: the way she's portrayed in the piece. When she was 815 00:42:11,480 --> 00:42:14,760 Speaker 1: pushing back on some of the decisions of the Conservati conservatorship, 816 00:42:14,960 --> 00:42:18,960 Speaker 1: he yelled at her, I am Britney Spears, and that's 817 00:42:19,000 --> 00:42:21,279 Speaker 1: the way these people see themselves. Every week they have 818 00:42:21,320 --> 00:42:24,120 Speaker 1: a meeting. They determine what's she going to post on 819 00:42:24,200 --> 00:42:26,799 Speaker 1: social media? What are we going to do with you know, 820 00:42:26,880 --> 00:42:30,040 Speaker 1: she has this offer and this you know question about 821 00:42:30,040 --> 00:42:32,960 Speaker 1: whether to cop whether to license the music rights here, 822 00:42:33,320 --> 00:42:34,960 Speaker 1: where's she going to be, What's she going to do? 823 00:42:35,000 --> 00:42:37,560 Speaker 1: What's she going to say? A council is meaning on 824 00:42:37,600 --> 00:42:39,960 Speaker 1: a weekly basis to determine all of those things for her. 825 00:42:40,320 --> 00:42:44,719 Speaker 1: There's also allegations in here about the way that they've 826 00:42:44,760 --> 00:42:49,120 Speaker 1: tried to sabotage some of her romantic relationships. She's not 827 00:42:49,160 --> 00:42:51,360 Speaker 1: allowed to have her own phone that she can just 828 00:42:51,600 --> 00:42:53,960 Speaker 1: use and call. She not allowed to go where she wants, 829 00:42:54,239 --> 00:42:56,880 Speaker 1: and on the eve of this latest hearing, she actually 830 00:42:56,920 --> 00:42:59,960 Speaker 1: called nine to one one in order to report herself 831 00:43:00,120 --> 00:43:04,279 Speaker 1: as a victim of conservatorship abuse. So there is a 832 00:43:04,360 --> 00:43:07,839 Speaker 1: lot in here, and there was one piece, the last 833 00:43:07,880 --> 00:43:10,239 Speaker 1: piece that I'll call your attention to, because I think 834 00:43:10,280 --> 00:43:14,440 Speaker 1: this exposed how horrific a situation. This is not just 835 00:43:14,480 --> 00:43:16,399 Speaker 1: for Britney Spears, but I'm sure there are a lot 836 00:43:16,440 --> 00:43:20,000 Speaker 1: of people who found themselves in these like legal catch 837 00:43:20,040 --> 00:43:22,280 Speaker 1: twenty twos, where they have no control over their lives, 838 00:43:22,960 --> 00:43:26,480 Speaker 1: who have no rights, who have been deemed unable to 839 00:43:26,960 --> 00:43:29,320 Speaker 1: control their own lives and are being taken advantage of 840 00:43:29,360 --> 00:43:32,920 Speaker 1: in a similar way. And they quote an expert who says, basically, 841 00:43:32,920 --> 00:43:35,839 Speaker 1: the idea that Spears needs this conservatorship to function is 842 00:43:35,880 --> 00:43:39,120 Speaker 1: self reinforcing, and that respect her case is common. A 843 00:43:39,160 --> 00:43:42,560 Speaker 1: disability rights lawyer said that many guardianships can prove inescapable, 844 00:43:42,600 --> 00:43:45,240 Speaker 1: which is why they're vulnerable to abuse. In extreme cases, 845 00:43:45,520 --> 00:43:49,719 Speaker 1: the strategy is isolate, medicate, liquidate. You isolate them, you 846 00:43:49,800 --> 00:43:52,600 Speaker 1: medicate them to keep them quiet. Another thing that Britney alleged, 847 00:43:52,840 --> 00:43:56,520 Speaker 1: you liquidate the assets if the conservative. If the conservatory 848 00:43:56,920 --> 00:44:00,040 Speaker 1: functions well, then that can be framed as the this 849 00:44:00,160 --> 00:44:03,839 Speaker 1: is going great. The arrangement is necessary if they get 850 00:44:03,880 --> 00:44:07,680 Speaker 1: out and they stumble into crisis or manipulation then, and that, 851 00:44:07,800 --> 00:44:10,399 Speaker 1: of course is in likelihood that's increased by the length 852 00:44:10,400 --> 00:44:12,560 Speaker 1: of time that you've been in the conservatorship unable to 853 00:44:12,600 --> 00:44:15,680 Speaker 1: function in the real world, then that too might reinforce 854 00:44:15,719 --> 00:44:18,160 Speaker 1: our even Oh, we got to put these restraints back on. 855 00:44:18,320 --> 00:44:20,879 Speaker 1: So it doesn't matter if you do well they say say, look, 856 00:44:20,880 --> 00:44:23,000 Speaker 1: this is going great. If you do poorly, they say, 857 00:44:23,120 --> 00:44:25,680 Speaker 1: see they really need this help. If you actually get 858 00:44:25,719 --> 00:44:29,360 Speaker 1: out and then you stumble, because human beings stumble sometimes, 859 00:44:29,360 --> 00:44:31,960 Speaker 1: then it's oh, see it was really better when we 860 00:44:31,960 --> 00:44:34,200 Speaker 1: were looking out for her. So it's really just an 861 00:44:34,200 --> 00:44:36,880 Speaker 1: inconsonable situation all the way around. Yeah, this is horrible. 862 00:44:36,960 --> 00:44:39,799 Speaker 1: I mean I read the piece and just I've never 863 00:44:39,840 --> 00:44:45,040 Speaker 1: really been familiar with the entire concept of conservatorship regardless, 864 00:44:45,040 --> 00:44:47,120 Speaker 1: and I was like, wait, how is this legal? What 865 00:44:47,200 --> 00:44:49,919 Speaker 1: is happening here? She can't even pick her own lawyers. Yeah, 866 00:44:49,920 --> 00:44:52,560 Speaker 1: she can't pick her own lawyers. And they say, a 867 00:44:52,640 --> 00:44:56,000 Speaker 1: baby year old murderer, you can pick your own your 868 00:44:56,000 --> 00:44:58,799 Speaker 1: own lawyer, but Britney Spears canot pick her own lawyers. 869 00:44:58,800 --> 00:45:00,319 Speaker 1: You And like you were pointing out, I think that 870 00:45:00,400 --> 00:45:02,279 Speaker 1: was the craziest part is that at the same time 871 00:45:02,280 --> 00:45:05,320 Speaker 1: where she's supposedly unfit for any of this, she's making 872 00:45:05,480 --> 00:45:07,759 Speaker 1: hundreds of millions of dollars. So it's like, well, wait, 873 00:45:07,960 --> 00:45:09,759 Speaker 1: pick one. So if you're gonna make this hundreds of 874 00:45:09,800 --> 00:45:12,400 Speaker 1: millions of dollars, then you should probably be in charge 875 00:45:12,440 --> 00:45:14,399 Speaker 1: of your own money. And look, we've let all sorts 876 00:45:14,400 --> 00:45:15,920 Speaker 1: of people. It's a free country at the end of 877 00:45:15,920 --> 00:45:17,239 Speaker 1: the day, Like all sorts of people are earned a 878 00:45:17,239 --> 00:45:18,560 Speaker 1: lot of money and it's their deal. They can do 879 00:45:18,600 --> 00:45:20,879 Speaker 1: whatever they want with it. And this is the part 880 00:45:20,960 --> 00:45:23,400 Speaker 1: which galls me, is that it's clear that her father 881 00:45:23,840 --> 00:45:28,200 Speaker 1: has been grooming is the wrong word, but like crafting 882 00:45:28,280 --> 00:45:32,919 Speaker 1: this star, you know, from the very beginning, molding her 883 00:45:33,000 --> 00:45:37,359 Speaker 1: for stardom, pushing one of those prototypical parents pushing their 884 00:45:37,440 --> 00:45:41,280 Speaker 1: child and hoping that they get rich, a story almost 885 00:45:41,320 --> 00:45:44,880 Speaker 1: as old as time whenever it comes to Hollywood. But somehow, 886 00:45:45,160 --> 00:45:47,840 Speaker 1: usually those adults break away, and you know, they have 887 00:45:47,880 --> 00:45:50,320 Speaker 1: public meltdowns or whatever, but at least it's their own meltdowns, 888 00:45:50,360 --> 00:45:52,480 Speaker 1: and at least they have their control of their own money. 889 00:45:52,480 --> 00:45:55,279 Speaker 1: She's almost forty years old, and she can't decide if 890 00:45:55,280 --> 00:45:57,239 Speaker 1: she wants to have a baby. She can't decide if 891 00:45:57,239 --> 00:45:58,839 Speaker 1: she wants to have she can't decide if she has 892 00:45:58,840 --> 00:46:01,440 Speaker 1: a phone or not. I mean, the level of minute 893 00:46:01,520 --> 00:46:05,879 Speaker 1: control that we're discussing here is just so ridiculous that 894 00:46:06,239 --> 00:46:09,319 Speaker 1: it seems pretty clear that this is one of the 895 00:46:09,320 --> 00:46:11,920 Speaker 1: worst examples I think of all time. I also think 896 00:46:11,960 --> 00:46:14,200 Speaker 1: that that is why it is really packed captured the 897 00:46:14,239 --> 00:46:16,719 Speaker 1: public imagination. I mean, I was, like Britney Spears, like, 898 00:46:16,719 --> 00:46:19,160 Speaker 1: you know what, but then you read more about it, 899 00:46:19,400 --> 00:46:21,200 Speaker 1: and I think it probably resonates, like you said, with 900 00:46:21,239 --> 00:46:24,360 Speaker 1: a lot of people found themselves just in a powerless situation. 901 00:46:24,480 --> 00:46:27,400 Speaker 1: Think about you know, when a boss tells you to 902 00:46:27,440 --> 00:46:30,680 Speaker 1: do something which doesn't make any sense, but they pay you, 903 00:46:30,760 --> 00:46:32,439 Speaker 1: so what are you going to do? They just have 904 00:46:32,560 --> 00:46:35,239 Speaker 1: you by your lapels and you can't do anything about it. 905 00:46:35,520 --> 00:46:38,000 Speaker 1: And that's the part at least I think that resonated 906 00:46:38,000 --> 00:46:40,600 Speaker 1: the most with me, is that the powerlessness that people 907 00:46:40,640 --> 00:46:46,200 Speaker 1: can feel whenever they're under control in a completely unfair situation, 908 00:46:46,320 --> 00:46:48,520 Speaker 1: And it does seem that that's what this is. But look, 909 00:46:48,520 --> 00:46:50,759 Speaker 1: I mean, her conservatorship was just held up by the court, 910 00:46:50,840 --> 00:46:52,879 Speaker 1: so it's like, what is going on there? Do they 911 00:46:52,880 --> 00:46:55,000 Speaker 1: know something that we don't know. That was what some 912 00:46:55,040 --> 00:46:57,600 Speaker 1: people push back and said, They're like, look, maybe the 913 00:46:57,680 --> 00:47:00,319 Speaker 1: judge knows something that you don't. Maybe, but you know, 914 00:47:00,400 --> 00:47:02,360 Speaker 1: at this point, there's been a lot of reporting here, 915 00:47:02,480 --> 00:47:05,320 Speaker 1: there's been a decent amount of visibility into the situation, 916 00:47:05,440 --> 00:47:07,680 Speaker 1: and it does not seem to me that this should 917 00:47:07,680 --> 00:47:09,960 Speaker 1: be legally justifiable. But well, again, there could be there 918 00:47:09,960 --> 00:47:12,400 Speaker 1: could be some details here. Another thing they talk about 919 00:47:12,560 --> 00:47:14,440 Speaker 1: is when it was first put in place. First of all, 920 00:47:14,480 --> 00:47:17,640 Speaker 1: a lot of the people who were involved in testifying 921 00:47:17,800 --> 00:47:20,400 Speaker 1: in favor of the conservatorship, they thought it was going 922 00:47:20,480 --> 00:47:23,880 Speaker 1: to be temporary, and at least one of them told 923 00:47:24,560 --> 00:47:27,880 Speaker 1: these two reporters that she really regrets her role in 924 00:47:28,160 --> 00:47:31,920 Speaker 1: putting Brittany into this conservatorship where she's been now for 925 00:47:32,120 --> 00:47:35,239 Speaker 1: over a decade. So that's number one. And number two, 926 00:47:35,719 --> 00:47:38,600 Speaker 1: they reveal how that initial process, which again now has 927 00:47:38,640 --> 00:47:41,680 Speaker 1: controlled her life for over a decade, how that was 928 00:47:41,719 --> 00:47:46,240 Speaker 1: done so quickly, with so little deliberation. The judge granted 929 00:47:46,640 --> 00:47:49,799 Speaker 1: her dad everything that he possibly wanted, even waving the 930 00:47:49,840 --> 00:47:53,759 Speaker 1: required there's a requirement to inform the person five days 931 00:47:53,800 --> 00:47:56,880 Speaker 1: before it takes hold. Even that requirement was waived. This 932 00:47:57,040 --> 00:48:01,520 Speaker 1: was all done in this very quick fashion with massive implications. 933 00:48:01,760 --> 00:48:03,600 Speaker 1: One of the things that just on a personal level, 934 00:48:03,800 --> 00:48:08,279 Speaker 1: really really got me is Brittany adores her kids, and 935 00:48:08,400 --> 00:48:11,000 Speaker 1: like one of the things that has sparked some of 936 00:48:11,040 --> 00:48:14,479 Speaker 1: these like public melt I hate using the ord melt 937 00:48:14,480 --> 00:48:17,080 Speaker 1: down because it's so loaded, but some of these public 938 00:48:17,200 --> 00:48:20,239 Speaker 1: spectacles that have been created around Brittany is because she 939 00:48:20,440 --> 00:48:24,000 Speaker 1: wanted so badly to just be with her kids and 940 00:48:24,080 --> 00:48:26,080 Speaker 1: just be able to be mom to her kids. And 941 00:48:26,120 --> 00:48:29,080 Speaker 1: everyone around her says she's a fantastic mother and she 942 00:48:29,280 --> 00:48:34,400 Speaker 1: adores those boys, and they really weaponize that to control her, like, 943 00:48:34,440 --> 00:48:36,520 Speaker 1: if you don't behave you're not going to get to 944 00:48:36,560 --> 00:48:40,120 Speaker 1: see your kids. That is just as a mom. I mean, 945 00:48:40,360 --> 00:48:44,360 Speaker 1: that just really is as low as it absolutely gets. 946 00:48:44,400 --> 00:48:48,879 Speaker 1: So her, there's major questions about whether her lawyer's really 947 00:48:48,920 --> 00:48:52,480 Speaker 1: been representing her interest or been representing more the interests 948 00:48:52,520 --> 00:48:54,840 Speaker 1: of her dad and the other people, because he's profiting 949 00:48:54,840 --> 00:48:57,920 Speaker 1: off with this situation as well. It appears, at least 950 00:48:57,960 --> 00:48:59,880 Speaker 1: what Brittany said was that she hadn't even been a 951 00:49:00,120 --> 00:49:04,239 Speaker 1: informed that she could petition the court to end the conservatorship. Altogether, 952 00:49:04,680 --> 00:49:07,600 Speaker 1: this latest case was about just removing her dad. So 953 00:49:07,719 --> 00:49:10,080 Speaker 1: there's a chance that now she's going to be able 954 00:49:10,080 --> 00:49:13,399 Speaker 1: to file to petition, end the conservatorship all together, and 955 00:49:13,520 --> 00:49:17,399 Speaker 1: hopefully there's some progress there, but an incredibly important and 956 00:49:17,600 --> 00:49:20,040 Speaker 1: just very disturbing portrait of what's been going on with 957 00:49:20,080 --> 00:49:22,920 Speaker 1: her over these years. Yeah. No, there's really no other 958 00:49:22,920 --> 00:49:25,640 Speaker 1: way to say it. Some other important business we need 959 00:49:25,680 --> 00:49:28,920 Speaker 1: to tend to here, my friend. Yes. So back on 960 00:49:29,040 --> 00:49:33,239 Speaker 1: your Round Rising, we covered that New York Times were 961 00:49:33,280 --> 00:49:37,759 Speaker 1: preparing to do a profile of Joe Rogan and some 962 00:49:37,800 --> 00:49:40,719 Speaker 1: people that we knew had gotten reached out to about, like, hey, 963 00:49:40,760 --> 00:49:44,040 Speaker 1: will you talk to this journalist for this story? Most 964 00:49:44,080 --> 00:49:46,920 Speaker 1: of them said no, and Tim Dillon said no in 965 00:49:46,960 --> 00:49:50,279 Speaker 1: a very colorful way. I think he just like off, 966 00:49:50,320 --> 00:49:54,360 Speaker 1: He's like fucking Jeffrey. He didn't put the So so anyway, 967 00:49:54,360 --> 00:49:57,160 Speaker 1: we cover that story at Rising and you said something 968 00:49:57,640 --> 00:50:01,439 Speaker 1: very specific I did. I said it about what would 969 00:50:01,520 --> 00:50:03,560 Speaker 1: be or not be in this profile. Let's take a 970 00:50:03,600 --> 00:50:06,080 Speaker 1: listen to what Socger had to say. If the word 971 00:50:06,360 --> 00:50:10,240 Speaker 1: misinformation does not appear in the first I'll say first 972 00:50:10,280 --> 00:50:13,120 Speaker 1: three paragraphs, I will eat my own sock on camera. 973 00:50:13,280 --> 00:50:18,680 Speaker 1: I guarantee you all right, all right, yeah, I said it. Okay, 974 00:50:18,840 --> 00:50:22,200 Speaker 1: So this guy I didn't know these guys watched Rising. 975 00:50:22,280 --> 00:50:24,200 Speaker 1: I was under the impression that these people don't know 976 00:50:24,200 --> 00:50:26,000 Speaker 1: anything about what's going on. So it's not just about 977 00:50:26,000 --> 00:50:29,640 Speaker 1: the bed. He specifically called me out in the New 978 00:50:29,719 --> 00:50:31,520 Speaker 1: York Times and the little hit piece on Joe Rogan. 979 00:50:31,560 --> 00:50:33,960 Speaker 1: So let's put this up there on the screen. As 980 00:50:34,000 --> 00:50:35,640 Speaker 1: I said, he said, he quoted me. He said, if 981 00:50:35,640 --> 00:50:39,239 Speaker 1: the word misinformation does not appear, Pledges is sager, I 982 00:50:39,280 --> 00:50:42,319 Speaker 1: will eat my own sock on camera. He puts parentheses 983 00:50:42,520 --> 00:50:44,719 Speaker 1: his move. It was a real graph there in the 984 00:50:44,719 --> 00:50:47,480 Speaker 1: New York Times. And look, look, I said, they intentionally 985 00:50:47,560 --> 00:50:49,640 Speaker 1: left it out. I know what happened here, I bet you. 986 00:50:49,719 --> 00:50:51,400 Speaker 1: Or they were going to put it in. They decided 987 00:50:51,600 --> 00:50:55,360 Speaker 1: not to put it in order to spite me personally, 988 00:50:55,680 --> 00:50:57,960 Speaker 1: because I thought it was funny that Tim Dillon told 989 00:50:57,960 --> 00:50:59,880 Speaker 1: this guy to go fuck off, which is true. I 990 00:51:00,120 --> 00:51:02,440 Speaker 1: still think and remain the fact that it is funny. 991 00:51:02,480 --> 00:51:04,399 Speaker 1: But I'm a man of my word. So I brought 992 00:51:04,440 --> 00:51:07,360 Speaker 1: in this sock that's right here. It has been literally 993 00:51:07,440 --> 00:51:09,319 Speaker 1: on my feet, so I'm not taking a cop out. 994 00:51:09,560 --> 00:51:12,759 Speaker 1: This is an old since the last time it was 995 00:51:12,800 --> 00:51:14,720 Speaker 1: on my friend. So I've done a lot of research 996 00:51:14,719 --> 00:51:17,360 Speaker 1: into this. So here's the deal. Guys. If I actually 997 00:51:17,560 --> 00:51:20,120 Speaker 1: ate the sock as in digestive the sock, it would 998 00:51:20,120 --> 00:51:23,960 Speaker 1: cause me intestinal blockage. That being said, so there was 999 00:51:24,000 --> 00:51:26,160 Speaker 1: one way you sent me this video, which was to 1000 00:51:26,160 --> 00:51:29,040 Speaker 1: cut the sock into tiny little pieces. Uh, put it 1001 00:51:29,080 --> 00:51:31,840 Speaker 1: with oil and some chicken. Yeah. And also that's just, 1002 00:51:31,840 --> 00:51:33,520 Speaker 1: frankly a little bit too much work. You see what 1003 00:51:33,560 --> 00:51:36,640 Speaker 1: a good co host I am. Yea, she was researching 1004 00:51:36,640 --> 00:51:39,279 Speaker 1: forum like there must be somebody on YouTube who's done this. 1005 00:51:39,320 --> 00:51:41,640 Speaker 1: I've been racking my brain on this for a week. 1006 00:51:41,840 --> 00:51:43,440 Speaker 1: So here's what we came up with, which is that 1007 00:51:43,480 --> 00:51:46,279 Speaker 1: I'm going to put this sock in my mouth to 1008 00:51:46,400 --> 00:51:50,000 Speaker 1: at least satisfy all of those people who have been 1009 00:51:50,040 --> 00:51:53,319 Speaker 1: tweeting at me angrily more and saying, oh, you're actually 1010 00:51:53,360 --> 00:51:56,200 Speaker 1: gonna do it, And Matt Fleggheimer, whatever the hell's name is, 1011 00:51:56,680 --> 00:51:59,000 Speaker 1: this is for you. I've been dreading this for a while, 1012 00:51:59,320 --> 00:52:01,480 Speaker 1: Like I said, see it fully, this is my sock. 1013 00:52:01,520 --> 00:52:03,279 Speaker 1: I've had it for like five years. Also, can't find 1014 00:52:03,280 --> 00:52:05,040 Speaker 1: the other one, so this is a perfect tub. That's 1015 00:52:05,080 --> 00:52:06,480 Speaker 1: a good one to use. That So here we go. 1016 00:52:06,560 --> 00:52:18,799 Speaker 1: Here we go, so so as you guys do, always 1017 00:52:18,840 --> 00:52:23,600 Speaker 1: salivate a lot, right, all right, So somebody on tire 1018 00:52:24,000 --> 00:52:26,359 Speaker 1: had a good idea, which is, this is how much 1019 00:52:26,400 --> 00:52:29,680 Speaker 1: I love you. She's so nice for me to make 1020 00:52:29,800 --> 00:52:32,520 Speaker 1: you a sock. Now, I want you guys to know 1021 00:52:32,880 --> 00:52:35,879 Speaker 1: I'm good at a lot of things, baking not one 1022 00:52:35,880 --> 00:52:42,839 Speaker 1: of them. Here we go, there you go, label it now. 1023 00:52:42,920 --> 00:52:45,600 Speaker 1: I will confess I did think about telling you that 1024 00:52:45,640 --> 00:52:48,920 Speaker 1: it was my kids that make this so citty, but 1025 00:52:48,960 --> 00:52:50,839 Speaker 1: it was all me. They were not involved at all. 1026 00:52:51,280 --> 00:52:54,280 Speaker 1: So here you go here, thank you, thank you. I'm 1027 00:52:54,320 --> 00:52:56,400 Speaker 1: actually going to eat that is not going to cause 1028 00:52:56,440 --> 00:52:59,319 Speaker 1: you in is going to be mad at me for eating. 1029 00:52:59,320 --> 00:53:03,960 Speaker 1: This would be for anyone who is wanting sager to suffer. 1030 00:53:04,200 --> 00:53:07,200 Speaker 1: I can tell you that is not a very tasty cookie. 1031 00:53:07,280 --> 00:53:15,520 Speaker 1: So good eishing up, Thank you. Question, You're welcome, You're welcome. 1032 00:53:15,719 --> 00:53:18,600 Speaker 1: You're a man of your word, look a man of 1033 00:53:18,640 --> 00:53:20,960 Speaker 1: my word. Also, yep, secret liqu death. We try watch 1034 00:53:21,000 --> 00:53:23,359 Speaker 1: it down like death. Thank you very much, Liquid death. Look, 1035 00:53:23,680 --> 00:53:26,719 Speaker 1: the deal is with all this to try and make 1036 00:53:26,719 --> 00:53:29,160 Speaker 1: this serious in any way whatsoever, which is that I 1037 00:53:29,200 --> 00:53:32,640 Speaker 1: thought the profile was probably more fair than it was 1038 00:53:32,680 --> 00:53:35,960 Speaker 1: going to be of Joe Rogan, but that ultimately it 1039 00:53:36,040 --> 00:53:40,160 Speaker 1: settles on this like mystique of like why exactly all 1040 00:53:40,200 --> 00:53:44,880 Speaker 1: this is popular? And worse is that Fleggheimer made it 1041 00:53:44,960 --> 00:53:47,719 Speaker 1: seem as if we were kind of being histrionic, right, 1042 00:53:48,040 --> 00:53:51,080 Speaker 1: not just us, but Tim Dillon and a few others 1043 00:53:51,120 --> 00:53:53,680 Speaker 1: as to saying stuff like, you know and assuming that 1044 00:53:53,719 --> 00:53:55,520 Speaker 1: this was going to be a hit piece, and look, 1045 00:53:55,520 --> 00:53:56,719 Speaker 1: there was a lot of stuff in there which I 1046 00:53:56,800 --> 00:53:58,400 Speaker 1: was not happy with in the way that they portrayed 1047 00:53:58,480 --> 00:54:00,759 Speaker 1: Joe and more. But I think it comes down to 1048 00:54:00,840 --> 00:54:02,560 Speaker 1: they don't have the benefit of the doubt. I think 1049 00:54:02,600 --> 00:54:04,640 Speaker 1: you can say this when reporters reach out, I'm like, 1050 00:54:04,800 --> 00:54:06,320 Speaker 1: what are these people want? Oh? Yeah, you know. I'm like, 1051 00:54:06,400 --> 00:54:10,719 Speaker 1: I'm like, what's the angle, what's the hit piece? What 1052 00:54:10,840 --> 00:54:12,680 Speaker 1: is it? Oh? You know surpassed? You know, Oh you 1053 00:54:12,800 --> 00:54:15,560 Speaker 1: said this this one time, and Rogan said this all 1054 00:54:15,600 --> 00:54:18,279 Speaker 1: the time, which is when you take stuff out of 1055 00:54:18,320 --> 00:54:21,279 Speaker 1: context and you put it in print, it loses a 1056 00:54:21,280 --> 00:54:23,920 Speaker 1: lot of what you said. Right, So like people who 1057 00:54:23,960 --> 00:54:25,799 Speaker 1: read that, you know, all the wine moms or whatever 1058 00:54:25,800 --> 00:54:27,080 Speaker 1: who read that because it is the first time they 1059 00:54:27,120 --> 00:54:29,120 Speaker 1: ever heard of Joe Rogan, they probably think got you know, 1060 00:54:29,280 --> 00:54:31,799 Speaker 1: you guys understand that I was saying it, and all, 1061 00:54:31,840 --> 00:54:33,839 Speaker 1: of course I still ate the sock at the sock 1062 00:54:33,840 --> 00:54:36,920 Speaker 1: cookie and all that, so I'm sticking by my word. 1063 00:54:37,320 --> 00:54:39,160 Speaker 1: But I think what it comes down to is I 1064 00:54:39,160 --> 00:54:41,719 Speaker 1: don't think these people deserve our trust, as in a 1065 00:54:41,760 --> 00:54:43,200 Speaker 1: lot of what they did was they went out of 1066 00:54:43,239 --> 00:54:45,360 Speaker 1: their way to go and find somebody, one person or 1067 00:54:45,400 --> 00:54:47,600 Speaker 1: whatever who was offended by Joe, and then they put 1068 00:54:47,600 --> 00:54:49,759 Speaker 1: it in the New York Times profile at the end 1069 00:54:49,760 --> 00:54:51,520 Speaker 1: of the day. I did agree with the headline, which 1070 00:54:51,520 --> 00:54:53,359 Speaker 1: is that he's too big to cancel, and I thought 1071 00:54:53,400 --> 00:54:55,799 Speaker 1: that that actually was an important takeaway and maybe it 1072 00:54:55,840 --> 00:54:57,920 Speaker 1: is important for liberals to understand, like, hey, you can't 1073 00:54:57,920 --> 00:54:59,879 Speaker 1: actually take this guy down, but all of it put 1074 00:54:59,880 --> 00:55:02,879 Speaker 1: to together. He called me out, I answered the call. 1075 00:55:03,000 --> 00:55:04,960 Speaker 1: It's right here. I'm sure they'll be him in a 1076 00:55:05,000 --> 00:55:08,120 Speaker 1: million annoying gifts or whatever of that, but so be it. 1077 00:55:08,200 --> 00:55:10,440 Speaker 1: And so I think it was fascinating to see how 1078 00:55:10,480 --> 00:55:12,840 Speaker 1: it all actually came together. And I will say credit 1079 00:55:12,840 --> 00:55:15,239 Speaker 1: to them, go encourage you all to go and read it. 1080 00:55:16,440 --> 00:55:18,680 Speaker 1: I agree with most of that. I mean, I guess 1081 00:55:18,680 --> 00:55:23,000 Speaker 1: I would say the political portrait of him, you know, 1082 00:55:23,080 --> 00:55:25,239 Speaker 1: not the whole thing is about like his political views 1083 00:55:25,320 --> 00:55:28,400 Speaker 1: or whatever. But the way that they portray him is 1084 00:55:28,440 --> 00:55:32,799 Speaker 1: sort of consistent with the very shallow caricature that's been 1085 00:55:32,920 --> 00:55:37,040 Speaker 1: that's right creative of him. So it's not that it's inaccurate, 1086 00:55:37,160 --> 00:55:40,399 Speaker 1: it's very incomplete. So they really lean into like, oh, 1087 00:55:40,400 --> 00:55:43,280 Speaker 1: the thing he's really into is being anti woke, which, yeah, 1088 00:55:43,320 --> 00:55:45,759 Speaker 1: that's one thing, that's something he's interesting. That's one thing 1089 00:55:45,760 --> 00:55:49,359 Speaker 1: he talks about, but it doesn't reflect any of you know, 1090 00:55:49,440 --> 00:55:52,359 Speaker 1: the deeper level conversations we got into him with him 1091 00:55:52,400 --> 00:55:55,239 Speaker 1: about meritocracy and Amazon and all of that. I just 1092 00:55:55,280 --> 00:55:59,400 Speaker 1: think that that greats a very misleading portrait. Yeah, and 1093 00:55:59,400 --> 00:56:03,080 Speaker 1: about class of the sort of totality of what And look, 1094 00:56:03,120 --> 00:56:05,439 Speaker 1: I don't agree with everything that Joe says or does 1095 00:56:05,560 --> 00:56:07,920 Speaker 1: or whatever, and that's fine, Like he'd be fine with that. 1096 00:56:07,960 --> 00:56:09,960 Speaker 1: I'm fine with that. He's all about having people want 1097 00:56:10,000 --> 00:56:12,839 Speaker 1: to have a wide range of views and engaging with 1098 00:56:12,880 --> 00:56:15,960 Speaker 1: them as best he can. So anyway, Sager your man 1099 00:56:15,960 --> 00:56:18,360 Speaker 1: of your well coradulation, You're welcome everywhere I have the 1100 00:56:19,239 --> 00:56:21,560 Speaker 1: and the soft cookie were now you Matt Fleackheimer, No, 1101 00:56:21,640 --> 00:56:24,520 Speaker 1: thank you very much. It's a beautiful cook. I'm gonna 1102 00:56:24,560 --> 00:56:28,800 Speaker 1: keep it. Wow, you guys must really like listening to 1103 00:56:28,840 --> 00:56:30,880 Speaker 1: our voices. Well, I know this is annoying instead of 1104 00:56:30,920 --> 00:56:33,520 Speaker 1: making you listen to a Viagra commercial. When you're done, 1105 00:56:33,680 --> 00:56:36,040 Speaker 1: check out the other podcast I do with Marshall Kasoff 1106 00:56:36,160 --> 00:56:38,400 Speaker 1: called The Realignment. We talk a lot about the deeper 1107 00:56:38,440 --> 00:56:41,840 Speaker 1: issues that are changing, realigning in American society. You always 1108 00:56:41,840 --> 00:56:44,560 Speaker 1: need more Crystal and Zaga in your daily lives. Take care, guys. 1109 00:56:44,840 --> 00:56:46,480 Speaker 1: All right, Sager, what are you looking at? It's time 1110 00:56:46,480 --> 00:56:48,880 Speaker 1: for one of my favorite recurring segments here on Breaking Points, 1111 00:56:48,880 --> 00:56:50,680 Speaker 1: going all the way back to some of our early 1112 00:56:50,719 --> 00:56:53,080 Speaker 1: work at Rising, laying out for the world. Just how 1113 00:56:53,200 --> 00:56:56,879 Speaker 1: terrible of a politician that Vice President Kamala Harris? Is it? Now? 1114 00:56:56,960 --> 00:56:59,719 Speaker 1: I've said it before. I was genuinely shocked when Joe 1115 00:56:59,760 --> 00:57:02,279 Speaker 1: Biden and picked Kamala Harris. He may be old, but 1116 00:57:02,320 --> 00:57:04,440 Speaker 1: I thought that he had better political instincts than to 1117 00:57:04,440 --> 00:57:06,879 Speaker 1: pick somebody like her. I mean, we're talking about someone 1118 00:57:06,920 --> 00:57:09,720 Speaker 1: who did so poorly they had to drop out before 1119 00:57:09,719 --> 00:57:13,120 Speaker 1: the Iowa Caucuses and at various points was pulling lower 1120 00:57:13,160 --> 00:57:16,400 Speaker 1: than Andrew Yang in her own home state. Now, Nonetheless, 1121 00:57:16,440 --> 00:57:19,160 Speaker 1: the media tried to make her happen over and over again, 1122 00:57:19,480 --> 00:57:23,320 Speaker 1: historic in her identity, focusing only on that because if 1123 00:57:23,320 --> 00:57:26,320 Speaker 1: you ever paid a modicum of attention to her, it's 1124 00:57:26,400 --> 00:57:29,200 Speaker 1: obvious she was one of the least talented people at 1125 00:57:29,200 --> 00:57:33,240 Speaker 1: the top of American politics. And hilariously enough, while the 1126 00:57:33,320 --> 00:57:36,560 Speaker 1: media is still carrying water for her, her boss, Joe 1127 00:57:36,600 --> 00:57:38,480 Speaker 1: Biden and many of the people in the White House 1128 00:57:38,720 --> 00:57:41,160 Speaker 1: are beginning to realize just how big of a mistake 1129 00:57:41,240 --> 00:57:44,080 Speaker 1: that they made. The drama has consumed Washington over the 1130 00:57:44,120 --> 00:57:45,840 Speaker 1: holiday weekend. I'll try to lay it out for you. 1131 00:57:46,040 --> 00:57:48,360 Speaker 1: It starts with that political story. It was titled quote 1132 00:57:48,640 --> 00:57:52,800 Speaker 1: not a healthy environment, Kamala Harris's office is rife with dissent. 1133 00:57:53,120 --> 00:57:56,320 Speaker 1: Now the story details how Harris's staff is inept, bumbling, 1134 00:57:56,400 --> 00:57:59,080 Speaker 1: afraid of Harris's chief of staff, Tina Florinoy, but that 1135 00:57:59,200 --> 00:58:02,680 Speaker 1: ultimately Harris Foster's an environment which is insular where she 1136 00:58:02,800 --> 00:58:05,400 Speaker 1: does not want to get challenged or hear other facts, 1137 00:58:05,720 --> 00:58:08,760 Speaker 1: and it's so bad. Twenty two of her former and 1138 00:58:08,800 --> 00:58:11,760 Speaker 1: current aide spoke to Politico of how bad of a 1139 00:58:11,800 --> 00:58:14,360 Speaker 1: boss she is and how terrible it is to work 1140 00:58:14,400 --> 00:58:17,160 Speaker 1: for her. Now it's always amusing to see that happen. 1141 00:58:17,480 --> 00:58:19,440 Speaker 1: The proper thing probably would have been to just brush 1142 00:58:19,440 --> 00:58:22,479 Speaker 1: it off, but the White House went into full defense mode, 1143 00:58:22,520 --> 00:58:25,600 Speaker 1: with White House Advisor Cedric Richmond saying on CNN that 1144 00:58:25,640 --> 00:58:28,240 Speaker 1: the people leaking against her are trying to sabotage her. 1145 00:58:28,560 --> 00:58:30,240 Speaker 1: And now the reason though the White House is so 1146 00:58:30,280 --> 00:58:33,960 Speaker 1: concerned about those stories is Number One, they know it's true. 1147 00:58:34,120 --> 00:58:37,320 Speaker 1: Harris's campaign was rife with missteps, She had no strategy, 1148 00:58:37,520 --> 00:58:40,560 Speaker 1: Her staff were consistently leaking against her during her campaign. 1149 00:58:41,000 --> 00:58:43,720 Speaker 1: None of it is new. But number two is because 1150 00:58:43,760 --> 00:58:47,480 Speaker 1: they are terrified because, per Axios, they now see how 1151 00:58:47,600 --> 00:58:51,280 Speaker 1: terribly she might do in an election matchup. Here's what 1152 00:58:51,320 --> 00:58:54,520 Speaker 1: Axios writes, quote, Harris would be the presumptive nominee if 1153 00:58:54,560 --> 00:58:58,080 Speaker 1: Biden didn't run. Administration sources believe it would be nearly 1154 00:58:58,160 --> 00:59:02,320 Speaker 1: impossible to unseat the first black woman vice president, they 1155 00:59:02,360 --> 00:59:07,120 Speaker 1: add quote, Yet many Democrats, including some current senior administration officials, 1156 00:59:07,280 --> 00:59:10,680 Speaker 1: are concerned she could not defeat whomever the Republican Party 1157 00:59:10,720 --> 00:59:15,240 Speaker 1: puts up, even if it were Donald Trump, they continue, 1158 00:59:15,400 --> 00:59:19,000 Speaker 1: Some Democrats close to the White House are increasingly concerned 1159 00:59:19,040 --> 00:59:23,640 Speaker 1: about Harris's handling of high profile issues and political tone deafness, 1160 00:59:23,840 --> 00:59:27,240 Speaker 1: and question her ability to maintain the coalition that Biden 1161 00:59:27,360 --> 00:59:30,040 Speaker 1: rode to the White House. That's as good as Washington 1162 00:59:30,120 --> 00:59:32,600 Speaker 1: drama as it gets. Folks, people who are close to 1163 00:59:32,640 --> 00:59:35,400 Speaker 1: the White House and people inside of it going around 1164 00:59:35,400 --> 00:59:38,160 Speaker 1: town saying, oh, no, there's no way this woman would 1165 00:59:38,160 --> 00:59:39,960 Speaker 1: win if she had to run in twenty twenty four. 1166 00:59:40,320 --> 00:59:42,600 Speaker 1: And worse, there's nothing we can do to make sure 1167 00:59:42,640 --> 00:59:46,480 Speaker 1: she's not the nominee because she's the first black vice president. Now, 1168 00:59:46,560 --> 00:59:49,040 Speaker 1: damned if they do, damned if they don't. You can 1169 00:59:49,120 --> 00:59:51,400 Speaker 1: choose to see this as Tadrey gossip. I see it 1170 00:59:51,440 --> 00:59:54,080 Speaker 1: in one of my political maxims, which is that ultimately, 1171 00:59:54,320 --> 00:59:59,120 Speaker 1: things based upon lies always fall apart. Everyone literally, everyone 1172 00:59:59,360 --> 01:00:03,520 Speaker 1: new Kamala Harris was a terrible politician, inauthentic. Her interviews 1173 01:00:03,560 --> 01:00:06,320 Speaker 1: are a train wreck. She is not particularly eloquent or 1174 01:00:06,360 --> 01:00:09,040 Speaker 1: striking in any real way. And I don't forget that 1175 01:00:09,120 --> 01:00:12,720 Speaker 1: this is how she handled her very first high profile 1176 01:00:12,800 --> 01:00:16,840 Speaker 1: interview as vice president. Do you have any plans to 1177 01:00:16,960 --> 01:00:22,240 Speaker 1: visit the border? I'm here in Guatemala today. At some point, 1178 01:00:22,520 --> 01:00:26,040 Speaker 1: you know we are going to the border. We've been 1179 01:00:26,080 --> 01:00:29,160 Speaker 1: to the border. So this whole, this whole, this whole 1180 01:00:29,200 --> 01:00:32,040 Speaker 1: thing about the border. We've been to the border. We've 1181 01:00:32,040 --> 01:00:33,880 Speaker 1: been to the border. You haven't been to the border, 1182 01:00:35,000 --> 01:00:37,840 Speaker 1: and I haven't been to Europe, And I mean, I 1183 01:00:38,440 --> 01:00:43,680 Speaker 1: don't understand the point that you're making. God, what a mess. Basically, 1184 01:00:43,720 --> 01:00:45,800 Speaker 1: the only thing that this woman had going for her 1185 01:00:45,960 --> 01:00:48,480 Speaker 1: was her heritage and the media, who did everything they 1186 01:00:48,520 --> 01:00:51,120 Speaker 1: possibly could to get her over the finish line during 1187 01:00:51,120 --> 01:00:53,560 Speaker 1: the primary, where she still crashed and burned in one 1188 01:00:53,560 --> 01:00:56,360 Speaker 1: of the worst campaign defeats in modern memory. Now she 1189 01:00:56,440 --> 01:00:58,800 Speaker 1: was given an ill advised second chance by Joe Biden, 1190 01:00:58,960 --> 01:01:02,200 Speaker 1: who calls himself a transitional president to someone like her. 1191 01:01:02,520 --> 01:01:05,600 Speaker 1: But now that the transition is actually possible, the very 1192 01:01:05,640 --> 01:01:08,760 Speaker 1: people who work for Biden are realizing there is no 1193 01:01:08,880 --> 01:01:12,240 Speaker 1: way she could pull it off. Watch this space very 1194 01:01:12,240 --> 01:01:14,640 Speaker 1: closely over the next several months and possibly the next 1195 01:01:14,640 --> 01:01:16,880 Speaker 1: couple of years if Joe Biden does not end up 1196 01:01:16,920 --> 01:01:19,560 Speaker 1: running for president again. This is all a moot conversation, 1197 01:01:19,880 --> 01:01:23,120 Speaker 1: But as his own advisors told Axios, the a man 1198 01:01:23,120 --> 01:01:27,320 Speaker 1: would be eighty one years old when seeking reelection. The 1199 01:01:27,360 --> 01:01:29,920 Speaker 1: truth of the matter is you're fighting against an actual 1200 01:01:30,000 --> 01:01:33,640 Speaker 1: ectuarial table every day, and crazier things have happened before 1201 01:01:33,680 --> 01:01:36,600 Speaker 1: in politics. It would not be a surprise at all 1202 01:01:36,800 --> 01:01:40,040 Speaker 1: if Harris does end up the nominee crashed and burned again, 1203 01:01:40,320 --> 01:01:43,080 Speaker 1: and these people would have nobody but themselves to blame 1204 01:01:43,120 --> 01:01:46,320 Speaker 1: for it. Crystal, I think it's a really hilarious story. Obviously. 1205 01:01:46,560 --> 01:01:49,040 Speaker 1: One more thing, I promise. Just wanted to make sure 1206 01:01:49,040 --> 01:01:52,200 Speaker 1: you knew about my podcast with Kyle Kolinski. It's called Crystal, 1207 01:01:52,280 --> 01:01:54,760 Speaker 1: Kyle and Friends, where we do long form interviews with 1208 01:01:54,760 --> 01:01:58,240 Speaker 1: people like Nom Chomsky, Cornell West, and Glenn Greenwald. You 1209 01:01:58,280 --> 01:02:01,720 Speaker 1: can listen on any podcast play or you can subscribe 1210 01:02:01,720 --> 01:02:03,960 Speaker 1: over on substack to get the video a day early. 1211 01:02:04,240 --> 01:02:06,880 Speaker 1: We're going to stop bugging you now. Enjoy all right, 1212 01:02:06,920 --> 01:02:08,560 Speaker 1: christ what are you taking a look at? Well? The 1213 01:02:08,560 --> 01:02:10,840 Speaker 1: fourth of July holiday weekend had me thinking a lot 1214 01:02:10,920 --> 01:02:12,840 Speaker 1: about a concept that is supposed to be the core 1215 01:02:12,880 --> 01:02:16,160 Speaker 1: of America's founding and our current ethos, and that's freedom. 1216 01:02:16,520 --> 01:02:19,240 Speaker 1: But what is freedom actually? Not the hollow version that 1217 01:02:19,280 --> 01:02:21,280 Speaker 1: would tell a poor person they have the freedom to 1218 01:02:21,320 --> 01:02:23,640 Speaker 1: own a private plane, or even the version that would 1219 01:02:23,680 --> 01:02:26,280 Speaker 1: say you technically have the right to be anything you want, 1220 01:02:26,360 --> 01:02:29,680 Speaker 1: but then close every pathway to actually achieving those dreams. 1221 01:02:30,000 --> 01:02:33,320 Speaker 1: What is meaningful freedom and who is allowed to have 1222 01:02:33,400 --> 01:02:36,720 Speaker 1: it in America? So here's a little stat that might 1223 01:02:36,760 --> 01:02:39,200 Speaker 1: be a good starting point. This chart tracks the percent 1224 01:02:39,280 --> 01:02:42,200 Speaker 1: of US wealth which is now owned by the top 1225 01:02:42,600 --> 01:02:49,000 Speaker 1: point one percent, so effectively the super billionaire classes. Gabriel 1226 01:02:49,080 --> 01:02:52,480 Speaker 1: Zuckman puts it there, great economist, and isn't that lovely 1227 01:02:52,520 --> 01:02:54,360 Speaker 1: for them? How the amount of their wealth is compared 1228 01:02:54,360 --> 01:02:56,080 Speaker 1: to the rest of the nation. Just climbs and climes 1229 01:02:56,080 --> 01:02:58,800 Speaker 1: and climbs, and that amount of wealth will indeed get 1230 01:02:58,840 --> 01:03:01,880 Speaker 1: you a lot, include voting, a lot of meaningful freedom. 1231 01:03:02,320 --> 01:03:04,600 Speaker 1: You are free, for example, to buy a top newspaper 1232 01:03:04,640 --> 01:03:07,080 Speaker 1: if you're Duff Bezos, for an amount that's probably equivalent 1233 01:03:07,120 --> 01:03:09,200 Speaker 1: to expenditure on a cup of coffee for most people. 1234 01:03:09,560 --> 01:03:11,720 Speaker 1: Freedom to see or not see what you want to 1235 01:03:11,760 --> 01:03:14,480 Speaker 1: see in the news. That must be nice. Meanwhile, as 1236 01:03:14,480 --> 01:03:17,640 Speaker 1: we discussed today, the blue collar workers under Bezos' Amazon 1237 01:03:17,680 --> 01:03:20,920 Speaker 1: have a very different level of freedom, or lack thereof. 1238 01:03:21,200 --> 01:03:25,440 Speaker 1: The movements are tracked, controlled, surveilled warehouse workers are intentionally 1239 01:03:25,480 --> 01:03:28,480 Speaker 1: burned out and pushed out after three years. As we discussed, 1240 01:03:28,480 --> 01:03:30,120 Speaker 1: you might well, show up to work one day only 1241 01:03:30,160 --> 01:03:33,640 Speaker 1: to have an automated bot inform you that you've been fired. Sure, 1242 01:03:33,840 --> 01:03:36,240 Speaker 1: you've got the freedom to get another job, but if 1243 01:03:36,240 --> 01:03:39,080 Speaker 1: you're living in Bessemer, Alabama, let's say this is about 1244 01:03:39,120 --> 01:03:41,560 Speaker 1: the only job with anything close to a living wage 1245 01:03:41,560 --> 01:03:44,840 Speaker 1: in the entire city. But if you're the Sackler family, 1246 01:03:44,880 --> 01:03:46,840 Speaker 1: on the other hand, your wealth will give you the 1247 01:03:46,880 --> 01:03:49,280 Speaker 1: freedom to push a new drug on the American people, 1248 01:03:49,320 --> 01:03:51,600 Speaker 1: to lie to the FDA about its addictiveness and have 1249 01:03:51,680 --> 01:03:54,400 Speaker 1: it believed to induce doctors to over prescribe it, and 1250 01:03:54,440 --> 01:03:56,560 Speaker 1: then turn a blind eye when it comes clear that 1251 01:03:56,680 --> 01:04:00,360 Speaker 1: a new addiction epidemic has taken off. A street dealer 1252 01:04:00,520 --> 01:04:03,840 Speaker 1: couldn't dream of addicting one to one thousandth of the 1253 01:04:03,840 --> 01:04:06,760 Speaker 1: people that the Sacklers destroyed, And yet they will build 1254 01:04:06,760 --> 01:04:09,120 Speaker 1: the jail on top of you if you're black and 1255 01:04:09,200 --> 01:04:11,960 Speaker 1: poor and get caught doing or selling drugs, And of 1256 01:04:11,960 --> 01:04:13,400 Speaker 1: course Joe Biden is going to make sure that you 1257 01:04:13,440 --> 01:04:15,320 Speaker 1: don't get the kind of rehab access and job or 1258 01:04:15,360 --> 01:04:18,960 Speaker 1: opportunities that say Hunter Biden did. The rules are the rules, 1259 01:04:18,960 --> 01:04:21,720 Speaker 1: after all, and Joe Biden wrote those rules, including their 1260 01:04:21,720 --> 01:04:25,040 Speaker 1: selective application here's a taste of the freedom that poor 1261 01:04:25,080 --> 01:04:28,200 Speaker 1: black Americans had during the pandemic, the freedom to die 1262 01:04:28,240 --> 01:04:31,400 Speaker 1: from overdoses at even higher rates than their poor white 1263 01:04:31,400 --> 01:04:34,000 Speaker 1: brothers and sisters. In the city of Saint Louis, deaths 1264 01:04:34,000 --> 01:04:36,800 Speaker 1: among black people increased last year at three times the 1265 01:04:36,920 --> 01:04:39,920 Speaker 1: rate of white people, skyrocketing more than thirty three percent. 1266 01:04:40,280 --> 01:04:42,840 Speaker 1: Black men in Missouri are now four times more likely 1267 01:04:42,840 --> 01:04:45,760 Speaker 1: than a white person to die of an overdose. These spikes, 1268 01:04:45,800 --> 01:04:47,600 Speaker 1: by the way, they were seen across America. As we 1269 01:04:47,640 --> 01:04:49,400 Speaker 1: start to get a fuller accounting of what this year 1270 01:04:49,440 --> 01:04:52,400 Speaker 1: of job loss and lockdowns actually did to the nation, 1271 01:04:52,840 --> 01:04:55,440 Speaker 1: take a look at this graphic. Here you can see 1272 01:04:55,560 --> 01:04:59,680 Speaker 1: how the nation overall fared. There was one state, South Dakota, 1273 01:04:59,760 --> 01:05:03,800 Speaker 1: where overdose deaths went down, far more typical where those 1274 01:05:03,880 --> 01:05:07,160 Speaker 1: dark red states. In all of those states, overdose debts 1275 01:05:07,320 --> 01:05:11,040 Speaker 1: jumped in a single year by more than forty percent. 1276 01:05:11,960 --> 01:05:15,320 Speaker 1: Freedom to work in basically indentured servitude. Freedom to have 1277 01:05:15,400 --> 01:05:18,200 Speaker 1: children you can't possibly afford financially or have enough time 1278 01:05:18,240 --> 01:05:21,240 Speaker 1: to fully nourish. Freedom to rent the American dream from 1279 01:05:21,280 --> 01:05:23,640 Speaker 1: black rock with the help of a payday lender. You 1280 01:05:23,760 --> 01:05:26,080 Speaker 1: see a truly free working class is too much of 1281 01:05:26,080 --> 01:05:28,640 Speaker 1: a threat to power to possibly tolerate. Just look at 1282 01:05:28,640 --> 01:05:30,800 Speaker 1: the horror and outrage from the American political class that 1283 01:05:30,880 --> 01:05:33,880 Speaker 1: workers were not immediately hopping too, the moment that restaurants 1284 01:05:33,880 --> 01:05:36,800 Speaker 1: were reopen, the fact that workers might secure a modicum 1285 01:05:36,800 --> 01:05:39,680 Speaker 1: of power and with it the freedom to choose a 1286 01:05:39,720 --> 01:05:43,439 Speaker 1: somewhat less shitty job that was treated like a political emergency. 1287 01:05:43,960 --> 01:05:47,720 Speaker 1: Even this tiny glimmer of meaningful freedom had to be 1288 01:05:47,800 --> 01:05:50,520 Speaker 1: quashed before it hardens into something like expectations of a 1289 01:05:50,520 --> 01:05:53,120 Speaker 1: decent and dignified life. And God help you if you 1290 01:05:53,200 --> 01:05:56,080 Speaker 1: actually try to bring together working class people across racial 1291 01:05:56,080 --> 01:05:59,720 Speaker 1: and cultural lines, rest and power. Fred Hampton Junior. While 1292 01:06:00,000 --> 01:06:02,880 Speaker 1: which enjoy vastly more freedom than the poor, whose very 1293 01:06:02,920 --> 01:06:05,840 Speaker 1: existence is a sort of threat to American power. Ultimately, 1294 01:06:05,920 --> 01:06:08,600 Speaker 1: I would submit that even the rich are only free 1295 01:06:08,640 --> 01:06:10,320 Speaker 1: so long as they don't rock the boat for the 1296 01:06:10,360 --> 01:06:13,320 Speaker 1: rest of the American power elite. There are some crimes 1297 01:06:13,360 --> 01:06:16,080 Speaker 1: of freedom which the best connections and highest paid lawyers 1298 01:06:16,080 --> 01:06:18,440 Speaker 1: in the land can't protect you from. If you commit 1299 01:06:18,480 --> 01:06:20,760 Speaker 1: the crimes of freedom of say Julian Assange or Edward 1300 01:06:20,800 --> 01:06:24,360 Speaker 1: Snowden or Steven Donziger, your class won't save you. In fact, 1301 01:06:24,440 --> 01:06:26,760 Speaker 1: what really got me thinking about freedom and its existence 1302 01:06:26,800 --> 01:06:29,880 Speaker 1: or lack there of in America was Julian Assange, locked 1303 01:06:29,920 --> 01:06:32,680 Speaker 1: in prison for his fiftieth birthday, having his freedom rob 1304 01:06:32,760 --> 01:06:35,600 Speaker 1: from him in the most literal way by the Trump 1305 01:06:35,600 --> 01:06:39,400 Speaker 1: administration and now continuing that by the Biden administration. Now, 1306 01:06:40,040 --> 01:06:43,480 Speaker 1: Assange is not an American citizen, but WikiLeaks is founded 1307 01:06:43,520 --> 01:06:46,000 Speaker 1: on a deeply American principle, or at least a principle 1308 01:06:46,000 --> 01:06:48,480 Speaker 1: we purport to be committed to, and that is freedom 1309 01:06:48,520 --> 01:06:51,560 Speaker 1: of speech. In fact, in founding WikiLeaks and delivering on 1310 01:06:51,600 --> 01:06:54,080 Speaker 1: the promise of its founding, Assange was acting as a 1311 01:06:54,120 --> 01:06:57,120 Speaker 1: truly free man, and for exercising that freedom, the US 1312 01:06:57,200 --> 01:06:59,920 Speaker 1: government has sought to destroy him. In this way, America 1313 01:06:59,960 --> 01:07:02,880 Speaker 1: is egalitarian. Wouldn't matter if Assange was rich or poor, 1314 01:07:02,880 --> 01:07:05,960 Speaker 1: black or white. His threat to American empire was simply 1315 01:07:06,000 --> 01:07:09,240 Speaker 1: too great. Same for Stephen Donziger, who's spending his seven 1316 01:07:09,320 --> 01:07:12,920 Speaker 1: hundredth day on house arrest. What was his crime was 1317 01:07:12,960 --> 01:07:15,200 Speaker 1: standing up for the indigenous people of Ecuador who were 1318 01:07:15,200 --> 01:07:19,840 Speaker 1: poisoned by American multinational Leveatan's Chevron. That company has refused 1319 01:07:19,840 --> 01:07:22,120 Speaker 1: to pay the multi billion dollar award that they owe, 1320 01:07:22,360 --> 01:07:25,800 Speaker 1: and they've engaged in a relentless mission to destroy Donziger personally, 1321 01:07:25,880 --> 01:07:27,840 Speaker 1: a quest which the government in our legal system has 1322 01:07:27,880 --> 01:07:31,400 Speaker 1: allowed the freedom to secure a modicum of accountability from 1323 01:07:31,400 --> 01:07:35,600 Speaker 1: one of America's most powerful corporations. Apparently that can't be tolerated. 1324 01:07:36,040 --> 01:07:37,440 Speaker 1: I saw this poll that was done by a right 1325 01:07:37,440 --> 01:07:39,320 Speaker 1: wing group, and it showed that a majority of young 1326 01:07:39,320 --> 01:07:42,320 Speaker 1: Americans don't feel proud to be American. The group of 1327 01:07:42,440 --> 01:07:44,960 Speaker 1: pine that those results were worrisome. Quote, they are a 1328 01:07:44,960 --> 01:07:48,439 Speaker 1: reminder of Ronald Reagan's observation that freedom is never more 1329 01:07:48,480 --> 01:07:51,600 Speaker 1: than one generation away from extinction. My view is a 1330 01:07:51,600 --> 01:07:55,480 Speaker 1: little different. Maybe young Americans seeing dreams of stability, family 1331 01:07:55,560 --> 01:07:58,040 Speaker 1: and wealth building strip from them, just recognize how far 1332 01:07:58,080 --> 01:08:01,640 Speaker 1: away from the American ideal of free that they already are. 1333 01:08:01,920 --> 01:08:05,480 Speaker 1: And Sager this week gets thrown around very casually. Join us. Now, 1334 01:08:05,520 --> 01:08:08,520 Speaker 1: we've got the founder of Status who News, Jordan Sheridan. 1335 01:08:08,600 --> 01:08:10,520 Speaker 1: He is a great journalist. He's been out on the 1336 01:08:10,600 --> 01:08:14,640 Speaker 1: road covering really one of the most important and undercovered stories, 1337 01:08:14,640 --> 01:08:17,680 Speaker 1: which is the number of people who, even with some 1338 01:08:17,760 --> 01:08:20,000 Speaker 1: of the safety net programs put in place during the 1339 01:08:20,000 --> 01:08:23,000 Speaker 1: pandemic continued to fall through the cracks. Jordan, It's so 1340 01:08:23,040 --> 01:08:25,559 Speaker 1: great to see you. Thanks for joining us this morning. Hey, 1341 01:08:25,640 --> 01:08:27,960 Speaker 1: thanks for having me. Guys, we'll just see Jordan. So, 1342 01:08:28,000 --> 01:08:30,360 Speaker 1: you're just back from a trip to louis Volatown that 1343 01:08:30,439 --> 01:08:33,160 Speaker 1: I used to live in, and you had some incredible 1344 01:08:33,160 --> 01:08:35,120 Speaker 1: interviews there. Just talk to us a little bit about 1345 01:08:35,120 --> 01:08:38,799 Speaker 1: what you learned on that trip. Yeah, So we actually 1346 01:08:38,800 --> 01:08:41,439 Speaker 1: went through four states to kind of focus on the 1347 01:08:42,280 --> 01:08:45,840 Speaker 1: what we thought was the eviction apocalypse coming, but we 1348 01:08:45,920 --> 01:08:50,680 Speaker 1: soon learned that it actually already came during the pandemic. 1349 01:08:51,040 --> 01:08:54,599 Speaker 1: And we learned, particularly in Louisville, that the federal eviction 1350 01:08:54,680 --> 01:08:59,160 Speaker 1: moratorium basically has more loopholes than a roller coaster. It 1351 01:08:59,360 --> 01:09:01,720 Speaker 1: has protected, did you know a lot of people for 1352 01:09:01,840 --> 01:09:06,160 Speaker 1: non payment, but landlords and city government have kind of 1353 01:09:06,200 --> 01:09:12,120 Speaker 1: colluded together to become creative and evict potentially, you know, 1354 01:09:12,160 --> 01:09:15,639 Speaker 1: tens of thousands of people around the country. They've used 1355 01:09:16,160 --> 01:09:21,680 Speaker 1: nuisance violations, particularly in Louisville, to evict people. They have 1356 01:09:22,000 --> 01:09:26,760 Speaker 1: used you know, not keeping your property well kept to 1357 01:09:26,840 --> 01:09:29,599 Speaker 1: evict people. Even things like if your lease is up, 1358 01:09:30,640 --> 01:09:34,320 Speaker 1: a landlord not resigning the lease and then telling the tenant, 1359 01:09:35,160 --> 01:09:38,040 Speaker 1: you don't have a contract with us evicting them. So 1360 01:09:38,320 --> 01:09:42,840 Speaker 1: essentially the eviction moratorium didn't really have any teeth beyond nonpayment. 1361 01:09:43,120 --> 01:09:47,960 Speaker 1: And landlords have gotten creative evicting people for every other reason. 1362 01:09:48,280 --> 01:09:51,880 Speaker 1: And we also found that essentially the real estate developers 1363 01:09:51,920 --> 01:09:54,160 Speaker 1: have been working. It's kind of this cabal of real 1364 01:09:54,240 --> 01:09:57,960 Speaker 1: estate developers, kind of nonprofits and you know, local city 1365 01:09:58,000 --> 01:10:04,280 Speaker 1: council working together to evict people while pretending, uh, there's 1366 01:10:04,280 --> 01:10:07,080 Speaker 1: no evictions going on. And so Jordan, you had this 1367 01:10:07,120 --> 01:10:09,160 Speaker 1: particularly striking interview that I want to make sure you 1368 01:10:09,160 --> 01:10:10,600 Speaker 1: get credit for it. Let's take a listen to that. 1369 01:10:10,600 --> 01:10:13,320 Speaker 1: What dissection on the other side, Actually, I lost my 1370 01:10:13,400 --> 01:10:22,280 Speaker 1: job in in August, file for unemployment benefits, never received 1371 01:10:22,560 --> 01:10:27,800 Speaker 1: one payment from from unemployment, did fall behind on the rent. 1372 01:10:28,600 --> 01:10:33,240 Speaker 1: Reached out to Louisville Metro they had a uh eviction 1373 01:10:33,479 --> 01:10:40,320 Speaker 1: prevention program. Submitted all my paperwork to never get resolution. 1374 01:10:40,840 --> 01:10:43,680 Speaker 1: I just want to tell the audience, Louisville Metro is 1375 01:10:43,720 --> 01:10:46,720 Speaker 1: the city government. So it's the Metro City council. Uh. 1376 01:10:46,760 --> 01:10:50,040 Speaker 1: So you reached out to the city government, submitted all 1377 01:10:50,040 --> 01:10:56,920 Speaker 1: my paperwork to never get a resolution was put I 1378 01:10:57,000 --> 01:11:02,160 Speaker 1: was actually under contract with section eight as well. Section eight. 1379 01:11:02,880 --> 01:11:07,000 Speaker 1: I least expired in December and it was never renewed 1380 01:11:08,040 --> 01:11:13,599 Speaker 1: by the landlord due to Section eight. And you know, 1381 01:11:13,680 --> 01:11:16,439 Speaker 1: no one was in the office and a lot of 1382 01:11:16,479 --> 01:11:22,880 Speaker 1: paperwork was behind. I also signed up with the eviction 1383 01:11:23,080 --> 01:11:29,360 Speaker 1: prevention and I was actually evicted in March. But the 1384 01:11:29,439 --> 01:11:33,519 Speaker 1: reason why I was evicted was not for nonpayment of rent. 1385 01:11:33,720 --> 01:11:36,960 Speaker 1: They went around that and he evicted me for not 1386 01:11:37,040 --> 01:11:43,280 Speaker 1: being under contract. There was no accountability with this. Just 1387 01:11:43,320 --> 01:11:45,080 Speaker 1: tell us a little bit more, give some more contacts 1388 01:11:45,080 --> 01:11:48,679 Speaker 1: about what was going on there. Jordan. Yeah, her name 1389 01:11:48,760 --> 01:11:53,040 Speaker 1: was Heather Boyd. She is in Louisville. She was actually 1390 01:11:53,080 --> 01:11:55,879 Speaker 1: working for the US Census Bureau, laid off in August 1391 01:11:56,360 --> 01:12:00,720 Speaker 1: COVID August twenty twenty. COVID was running ram been through 1392 01:12:00,760 --> 01:12:04,000 Speaker 1: the office there. She should have been eligible for unemployment, 1393 01:12:04,040 --> 01:12:06,960 Speaker 1: didn't get unemployment, which is another story. A lot of 1394 01:12:06,960 --> 01:12:10,479 Speaker 1: people eligible for unemployment didn't get it, then fell behind 1395 01:12:10,479 --> 01:12:15,240 Speaker 1: and rent December comes her leases up. She should be 1396 01:12:15,240 --> 01:12:18,280 Speaker 1: protected by the eviction moratorium for not able to pay. 1397 01:12:19,040 --> 01:12:22,799 Speaker 1: Then a couple months later in March, she's evicted only 1398 01:12:23,200 --> 01:12:26,800 Speaker 1: only because of Black Lives Matter in Louisville. Was she 1399 01:12:27,880 --> 01:12:31,400 Speaker 1: prevented from being actually homeless. Black Lives Matter Louisville kind 1400 01:12:31,400 --> 01:12:34,200 Speaker 1: of set up this airbnb where Heather and some other 1401 01:12:34,200 --> 01:12:37,439 Speaker 1: people in a similar situation where just got housing a 1402 01:12:37,520 --> 01:12:40,400 Speaker 1: couple like four months after being evicted. But she fell 1403 01:12:40,439 --> 01:12:42,720 Speaker 1: through the cracks in two ways. Number one, should have 1404 01:12:42,720 --> 01:12:46,759 Speaker 1: got unemployment, didn't and should have been protected from eviction. 1405 01:12:46,960 --> 01:12:50,600 Speaker 1: But the landlord basically buddha her citing Y're not on 1406 01:12:50,680 --> 01:12:54,040 Speaker 1: a lease. And something that I found even more striking 1407 01:12:54,200 --> 01:12:56,720 Speaker 1: is she reached out to legal aid, reached out to 1408 01:12:56,760 --> 01:13:00,240 Speaker 1: the city government and the representatives of city govern meant 1409 01:13:00,280 --> 01:13:03,760 Speaker 1: that are supposed to be helping tenants with this eviction program, 1410 01:13:03,920 --> 01:13:07,360 Speaker 1: didn't get responses from anybody. So she's just one of many, 1411 01:13:07,680 --> 01:13:10,479 Speaker 1: not just in Louisville, met people in West Virginia and 1412 01:13:10,600 --> 01:13:14,840 Speaker 1: Cleveland and Philadelphia that have been evicted throughout this pandemic, 1413 01:13:15,280 --> 01:13:18,160 Speaker 1: and kind of part of it is a gentrification scheme. 1414 01:13:18,280 --> 01:13:22,839 Speaker 1: Landlords have pocketed, you know, you're talking billions in federal 1415 01:13:22,880 --> 01:13:26,800 Speaker 1: relief supposed to go towards payment for their tenants and 1416 01:13:26,840 --> 01:13:29,040 Speaker 1: then turned around an a victim and used the money 1417 01:13:29,080 --> 01:13:35,720 Speaker 1: for things like redeveloping the property you know, upkeep so 1418 01:13:35,760 --> 01:13:38,639 Speaker 1: that they could you know, evict the evict those tenants 1419 01:13:38,680 --> 01:13:41,840 Speaker 1: and charge more for those units. Wow. Well, and it's 1420 01:13:41,880 --> 01:13:45,280 Speaker 1: so important to talk to the actual human beings who 1421 01:13:45,320 --> 01:13:48,519 Speaker 1: are impacted by these things that you know, oftentimes we 1422 01:13:48,600 --> 01:13:51,080 Speaker 1: cover at the high level. We covered here that half 1423 01:13:51,160 --> 01:13:53,760 Speaker 1: of those who applied for unemployment insurance, which is this 1424 01:13:53,840 --> 01:13:58,559 Speaker 1: incredibly rickety system, never received payment, Heather being one of those. 1425 01:13:58,840 --> 01:14:02,880 Speaker 1: We talked about how Yes, Congress technically appropriated this money 1426 01:14:03,320 --> 01:14:06,639 Speaker 1: for rental assistance to help people get current on their 1427 01:14:06,680 --> 01:14:10,000 Speaker 1: bills so that when the eviction moratorium does end, they're 1428 01:14:10,040 --> 01:14:13,160 Speaker 1: not kicked out then for non payment. But cities and 1429 01:14:13,200 --> 01:14:16,960 Speaker 1: states have had such a difficult time distributing this money 1430 01:14:17,000 --> 01:14:21,240 Speaker 1: that it's almost going completely unused in case after case 1431 01:14:21,479 --> 01:14:24,000 Speaker 1: after case. And then the other piece that you touched 1432 01:14:24,000 --> 01:14:26,720 Speaker 1: on here, Jordan, is look, the housing market and the 1433 01:14:26,800 --> 01:14:30,160 Speaker 1: rental market super hot right now. So all of these 1434 01:14:30,240 --> 01:14:34,439 Speaker 1: landlords chomping at the bit to kick out their current 1435 01:14:34,560 --> 01:14:37,599 Speaker 1: residents so that they can hike up rent to whatever 1436 01:14:37,640 --> 01:14:40,720 Speaker 1: they want it to be. So they're using whatever loopholes 1437 01:14:40,760 --> 01:14:44,479 Speaker 1: they can to get their current tenants out so that 1438 01:14:44,560 --> 01:14:48,160 Speaker 1: they can jack prices up, which has a devastating impact 1439 01:14:48,200 --> 01:14:51,000 Speaker 1: on the people they're kicking out, has a devastating impact 1440 01:14:51,000 --> 01:14:53,200 Speaker 1: on people who just you know, also want a place 1441 01:14:53,240 --> 01:14:55,320 Speaker 1: to potentially live and see prices going up and up 1442 01:14:55,360 --> 01:14:58,960 Speaker 1: and up. Talk about that piece of the story and 1443 01:14:59,040 --> 01:15:02,439 Speaker 1: how the super or you know, red hot housing market 1444 01:15:02,560 --> 01:15:05,240 Speaker 1: prop you know, in part because of permanent capital coming 1445 01:15:05,320 --> 01:15:06,880 Speaker 1: up and buying all these homes and wanting to be 1446 01:15:06,920 --> 01:15:10,920 Speaker 1: America's landlord. How that is contributing to situations like what 1447 01:15:10,960 --> 01:15:14,280 Speaker 1: Heather found herself in. Yeah, I mean, it's happening in 1448 01:15:14,400 --> 01:15:16,360 Speaker 1: cities all over the country. It's been happening for years, 1449 01:15:16,400 --> 01:15:18,960 Speaker 1: and it's only been accelerated now. You know, the phrase 1450 01:15:19,000 --> 01:15:21,360 Speaker 1: is gentrification. I think that's too vague. I mean, I 1451 01:15:21,400 --> 01:15:24,400 Speaker 1: just think it's economic terrorism. If you look at Louisville, 1452 01:15:25,000 --> 01:15:30,440 Speaker 1: we saw other states. Essentially there's this kind of collusion 1453 01:15:31,000 --> 01:15:34,320 Speaker 1: you have, like the nonprofit industrial complex, So real estate 1454 01:15:34,360 --> 01:15:37,719 Speaker 1: developers are funding nonprofits, real estate developers are funding local 1455 01:15:37,760 --> 01:15:41,439 Speaker 1: city governments. In some cases, real estate developers are also 1456 01:15:41,520 --> 01:15:44,320 Speaker 1: on city government. We found that in Philadelphia with real 1457 01:15:44,400 --> 01:15:49,519 Speaker 1: estate developers on city council, and essentially they are you know, 1458 01:15:49,600 --> 01:15:53,040 Speaker 1: kind of colluding to as they call it, economic development 1459 01:15:53,160 --> 01:15:58,040 Speaker 1: or urban renewal, to buy up whole neighborhoods and push 1460 01:15:58,080 --> 01:16:01,280 Speaker 1: poor people out, often poor black and brown people, but 1461 01:16:01,320 --> 01:16:02,960 Speaker 1: a lot of poor white people. We saw it in 1462 01:16:03,000 --> 01:16:06,600 Speaker 1: rural communities too. Actually, in Morehead, Kentucky, they evicted a 1463 01:16:06,600 --> 01:16:10,280 Speaker 1: whole mobile home park during the pandemic under false premises. 1464 01:16:10,600 --> 01:16:13,920 Speaker 1: So it is kind of this. On one side you 1465 01:16:13,920 --> 01:16:15,920 Speaker 1: have gentrification, but on the other side you have the 1466 01:16:15,920 --> 01:16:21,120 Speaker 1: big boys, obviously, you know, the remaining Koch brother Blackstone 1467 01:16:21,720 --> 01:16:27,320 Speaker 1: and others that are essentially using the pandemic as disaster capitalism, 1468 01:16:27,439 --> 01:16:29,519 Speaker 1: you know, the shock doctrine, don't let a crisis go 1469 01:16:29,560 --> 01:16:34,720 Speaker 1: to waste, and they're trying to essentially, you know, basically 1470 01:16:34,760 --> 01:16:38,080 Speaker 1: beautify and redevelop whole neighborhoods so that they could make 1471 01:16:38,160 --> 01:16:41,640 Speaker 1: soaring profits. And the thing is there is no accountability 1472 01:16:41,680 --> 01:16:44,519 Speaker 1: at the federal level. We saw this two thousand and eight, 1473 01:16:44,520 --> 01:16:47,280 Speaker 1: two thousand and nine, seven hundred billion, no strings attached. 1474 01:16:47,560 --> 01:16:50,679 Speaker 1: And now you have this eviction moratorium and rental relief 1475 01:16:50,960 --> 01:16:54,360 Speaker 1: also no strings attached. There's no like accountability measures in 1476 01:16:54,400 --> 01:16:58,200 Speaker 1: the federal law. If landlords break, you know, break the 1477 01:16:58,240 --> 01:17:02,479 Speaker 1: federal eviction moratorium. There's no penalty, nothing. And actually, for 1478 01:17:02,520 --> 01:17:05,920 Speaker 1: the first half a year, the eviction moratorium was only 1479 01:17:05,920 --> 01:17:11,440 Speaker 1: for federally financed homes. The CDC moratorium for all homes 1480 01:17:11,479 --> 01:17:15,120 Speaker 1: only came in September, So from March to September twenty twenty. 1481 01:17:15,400 --> 01:17:18,959 Speaker 1: I mean, you're talking really the worst of the pandemic, 1482 01:17:19,080 --> 01:17:22,559 Speaker 1: or the early wave that was just for federally funded, 1483 01:17:22,800 --> 01:17:26,080 Speaker 1: more federally funded houses. So at the end of the day, 1484 01:17:26,680 --> 01:17:31,160 Speaker 1: you have top line laws that passed. The media pushes it, 1485 01:17:31,240 --> 01:17:34,920 Speaker 1: that discovers everybody, but there is a whole lot of 1486 01:17:34,920 --> 01:17:37,760 Speaker 1: people falling through the cracks. Yeah, and Jordan tell us 1487 01:17:37,800 --> 01:17:39,800 Speaker 1: a little bit about the rest of the trip, the 1488 01:17:39,800 --> 01:17:41,960 Speaker 1: places you want, the things that you found that you 1489 01:17:41,960 --> 01:17:44,600 Speaker 1: thought were significant, and maybe what you have planned for 1490 01:17:44,640 --> 01:17:48,040 Speaker 1: the future as well. Yeah. So while the media was 1491 01:17:48,080 --> 01:17:52,680 Speaker 1: analyzing Putin and Biden's handshake, we were covering exploding homelessness 1492 01:17:53,240 --> 01:17:55,680 Speaker 1: across the country. I mean, I've seen a lot of homelessness, 1493 01:17:55,680 --> 01:17:58,840 Speaker 1: but particularly in Philadelphia, it was the worst I've seen. 1494 01:17:59,200 --> 01:18:02,919 Speaker 1: We spoke with one homeless individual that was a construction 1495 01:18:03,040 --> 01:18:05,320 Speaker 1: worker laid off during the pandemic, has been sleeping in 1496 01:18:05,360 --> 01:18:08,880 Speaker 1: the park for over a year and has gotten no 1497 01:18:09,000 --> 01:18:12,680 Speaker 1: relief from the local government there. Fortunately, our interview with him, 1498 01:18:12,680 --> 01:18:15,160 Speaker 1: if you were saw it and now is helping him 1499 01:18:15,160 --> 01:18:17,280 Speaker 1: get a job, So that's a good story. We went 1500 01:18:17,320 --> 01:18:20,840 Speaker 1: to Cleveland interviewed Nina Turner about her campaign. Also then 1501 01:18:20,960 --> 01:18:24,639 Speaker 1: followed volunteers with the Democratic Socialists of America who were 1502 01:18:24,760 --> 01:18:26,680 Speaker 1: actually doing what the government should be doing. They were 1503 01:18:26,760 --> 01:18:29,679 Speaker 1: knocking door to door. They got the list of people 1504 01:18:29,720 --> 01:18:32,840 Speaker 1: facing the viction to give them, you know, info and 1505 01:18:32,920 --> 01:18:36,639 Speaker 1: legal resources. So we followed them doing that. Went over 1506 01:18:36,680 --> 01:18:41,000 Speaker 1: to Louisville because you know your old hometown, the Breonna 1507 01:18:41,040 --> 01:18:45,439 Speaker 1: Taylor case. I mean, it's hard as a journalists to 1508 01:18:45,439 --> 01:18:48,559 Speaker 1: prove a cover up. This is very simple. There's more 1509 01:18:48,600 --> 01:18:51,599 Speaker 1: and more evidence coming out that the state Attorney General, 1510 01:18:51,680 --> 01:18:55,880 Speaker 1: Daniel Cameron covered this up, the city is covering this up. 1511 01:18:56,320 --> 01:19:00,000 Speaker 1: There's actually body cameras that the family were told didn't exist, 1512 01:19:00,120 --> 01:19:03,479 Speaker 1: that do exist of the night she was murdered. So 1513 01:19:03,520 --> 01:19:05,679 Speaker 1: we interviewed her aunts and then we went to West 1514 01:19:05,760 --> 01:19:08,840 Speaker 1: Virginia to cover Joe Manchin. You know, you've seen a 1515 01:19:08,840 --> 01:19:11,679 Speaker 1: lot of national media talking about him from this top 1516 01:19:11,720 --> 01:19:14,640 Speaker 1: line view. You know, he's a thorn in the Democratic 1517 01:19:14,640 --> 01:19:17,840 Speaker 1: Party site. We actually like Dug Deep and found this 1518 01:19:17,920 --> 01:19:20,920 Speaker 1: man has been literally helping the Republicans take over West 1519 01:19:21,000 --> 01:19:25,880 Speaker 1: Virginia for over a decade, sabotaging progressives and has done 1520 01:19:26,000 --> 01:19:30,439 Speaker 1: more to you know, accelerate West Virginia's high poverty rate 1521 01:19:30,720 --> 01:19:33,880 Speaker 1: than any other politicians. So yeah, all those videos are up, 1522 01:19:34,320 --> 01:19:36,120 Speaker 1: and it really is you know, I have to say 1523 01:19:37,040 --> 01:19:40,160 Speaker 1: we need more people, whether it's us of the journalists 1524 01:19:40,240 --> 01:19:43,200 Speaker 1: going in the field, because honestly, you know, people know 1525 01:19:43,280 --> 01:19:45,840 Speaker 1: at a high level view the corruption and injustice in 1526 01:19:45,920 --> 01:19:49,240 Speaker 1: this country until you see it up close. There's so 1527 01:19:49,400 --> 01:19:52,679 Speaker 1: many stories out there that are just not being told 1528 01:19:52,680 --> 01:19:56,479 Speaker 1: by corporate media, even independent media. The humanity that you 1529 01:19:56,600 --> 01:20:01,200 Speaker 1: captured and how critical that is cannot possibly be overstated. 1530 01:20:01,400 --> 01:20:04,160 Speaker 1: And I just want to say to our audience, guys, 1531 01:20:04,280 --> 01:20:08,120 Speaker 1: Jordan is doing really, really important work. It costs a 1532 01:20:08,200 --> 01:20:11,280 Speaker 1: lot of money to go on these trips and do 1533 01:20:11,360 --> 01:20:14,640 Speaker 1: all the interviews with all the equipment that that requires. 1534 01:20:14,760 --> 01:20:17,200 Speaker 1: And so we're going to put the links down in 1535 01:20:17,200 --> 01:20:20,680 Speaker 1: the description box, but please the very least go subscribe 1536 01:20:20,680 --> 01:20:23,800 Speaker 1: to the YouTube channel. I would really highly recommend you 1537 01:20:23,880 --> 01:20:26,759 Speaker 1: become a Patreon so that we can continue to get 1538 01:20:27,120 --> 01:20:30,200 Speaker 1: this type of work, actually putting human faces on some 1539 01:20:30,240 --> 01:20:33,040 Speaker 1: of these big stories that are either being glossed over 1540 01:20:33,080 --> 01:20:36,080 Speaker 1: by the media or ignored completely that are happening at 1541 01:20:36,120 --> 01:20:39,439 Speaker 1: the ground level. So, guys, I cannot recommend enough that 1542 01:20:39,479 --> 01:20:42,080 Speaker 1: you check out what Jordan is up to. And Jordan, 1543 01:20:42,120 --> 01:20:44,200 Speaker 1: thank you so much for the work that you're doing 1544 01:20:44,200 --> 01:20:46,000 Speaker 1: and for your time today. Thank you, Jordan. We really 1545 01:20:46,040 --> 01:20:48,400 Speaker 1: appreciate the work that you do. Man, thanks a lot, 1546 01:20:48,920 --> 01:20:52,559 Speaker 1: our pleasure. Thanks guys for watching. We really appreciate it. 1547 01:20:52,720 --> 01:20:54,800 Speaker 1: If you want to become a premium subscriber, watch the 1548 01:20:54,920 --> 01:20:58,040 Speaker 1: entire show in our early completely uncut link is right 1549 01:20:58,080 --> 01:21:00,559 Speaker 1: there down in the description. You also get to listen 1550 01:21:00,560 --> 01:21:02,479 Speaker 1: to it and you get to do weekly AMA's There's 1551 01:21:02,479 --> 01:21:05,000 Speaker 1: a lot of fun stuff. We had that cool premium 1552 01:21:05,080 --> 01:21:10,480 Speaker 1: drop with Iromy thirty minutes Completely Unfiltered, The Funky Academic. 1553 01:21:10,520 --> 01:21:12,599 Speaker 1: We do two of those a month, which are only 1554 01:21:12,640 --> 01:21:16,040 Speaker 1: for our premium subscribers. Note on ironmy our friend the 1555 01:21:16,080 --> 01:21:21,040 Speaker 1: Funky Academic. That is just insane. He posted to Facebook 1556 01:21:21,120 --> 01:21:25,080 Speaker 1: a quote from the Declaration of Independence nuts and they 1557 01:21:25,400 --> 01:21:28,479 Speaker 1: banned him for thirty days and said that it was 1558 01:21:28,640 --> 01:21:33,840 Speaker 1: hate speech. He literally quoted from the Declaration of Independence, 1559 01:21:34,640 --> 01:21:36,200 Speaker 1: so make sure you raise a little bit of hell 1560 01:21:36,240 --> 01:21:39,759 Speaker 1: about that. But yeah, love irony always like mind expanding 1561 01:21:39,760 --> 01:21:44,400 Speaker 1: when irony freeth them all. Free irony for sure. O. Yay, guys, 1562 01:21:44,439 --> 01:21:46,439 Speaker 1: we'll see it. We'll see you on Thursday. That's the 1563 01:21:46,479 --> 01:22:03,679 Speaker 1: next show. Yep. Thanks guys, see Thursday. Thanks for listening 1564 01:22:03,720 --> 01:22:05,599 Speaker 1: to the show. Guys, we really appreciate it. To help 1565 01:22:05,640 --> 01:22:07,720 Speaker 1: other people find the show, go ahead and leave us 1566 01:22:07,720 --> 01:22:10,720 Speaker 1: a five star rating on Apple Podcasts or wherever you 1567 01:22:10,800 --> 01:22:14,000 Speaker 1: get your podcasts. Really helps other people find the show 1568 01:22:14,320 --> 01:22:17,880 Speaker 1: as always special. Thank you to Supercast for powering our 1569 01:22:17,880 --> 01:22:20,400 Speaker 1: premium membership. If you want to find out more, go 1570 01:22:20,439 --> 01:22:22,439 Speaker 1: to Crystalandsager dot com.