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. Become a Breaking 9 00:00:24,000 --> 00:00:26,560 Speaker 1: Points Premium Member today, where you get to watch and 10 00:00:26,680 --> 00:00:29,640 Speaker 1: listen to the entire show ad free and uncut, an 11 00:00:29,640 --> 00:00:32,440 Speaker 1: hour early before everyone else. You get to hear our 12 00:00:32,479 --> 00:00:35,360 Speaker 1: reactions to each other's monologues. You get to participate and 13 00:00:35,360 --> 00:00:37,960 Speaker 1: weekly ask me any things, and you don't need to 14 00:00:38,000 --> 00:00:41,040 Speaker 1: hear our annoying voices pitching you like I am right now, 15 00:00:41,120 --> 00:00:43,320 Speaker 1: So what are you waiting for? Go to Breakingpoints dot 16 00:00:43,320 --> 00:00:46,080 Speaker 1: com become a Premium member today, which is available in 17 00:00:46,120 --> 00:01:06,360 Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody, 18 00:01:06,360 --> 00:01:09,000 Speaker 1: Happy Tuesday. We have an amazing show for everybody today 19 00:01:09,000 --> 00:01:10,959 Speaker 1: when we have Crystal, Indeed we do. Let's to get 20 00:01:11,000 --> 00:01:12,760 Speaker 1: to I'm very excited. We're going to have one of 21 00:01:12,760 --> 00:01:15,240 Speaker 1: the workers who is striking at John Deere on to 22 00:01:15,280 --> 00:01:17,840 Speaker 1: give us an update on what is going on there 23 00:01:17,880 --> 00:01:21,160 Speaker 1: and lay out in detail what their concerns are why 24 00:01:21,200 --> 00:01:23,880 Speaker 1: they decided to take the dramatic action of going out 25 00:01:23,920 --> 00:01:26,440 Speaker 1: on strike. We have some other union news for you 26 00:01:26,480 --> 00:01:30,440 Speaker 1: as well. Update on there're Starbucks workers in Buffalo. I 27 00:01:30,440 --> 00:01:32,400 Speaker 1: think we brought you this news before who are trying 28 00:01:32,400 --> 00:01:35,280 Speaker 1: to unionize first Starbucks location in the country that would 29 00:01:35,319 --> 00:01:37,440 Speaker 1: be union if they, in fact, we're able to win 30 00:01:37,480 --> 00:01:41,720 Speaker 1: that election. Starbucks is going to some extraordinary lengths to 31 00:01:41,840 --> 00:01:44,400 Speaker 1: make sure that doesn't ultimately happen. So we'll bring you 32 00:01:44,440 --> 00:01:50,920 Speaker 1: the details there. Amazon, including Jeff Bezos facing potential criminal 33 00:01:50,960 --> 00:01:55,560 Speaker 1: referral to the DOJ from a bipartisan group members of Congress. 34 00:01:55,600 --> 00:02:00,400 Speaker 1: We'll bring you those details. Major DC media brand Litico 35 00:02:00,680 --> 00:02:03,440 Speaker 1: is now owned by a company that is requiring their 36 00:02:03,480 --> 00:02:07,520 Speaker 1: employees be loyal to various political causes, some of which 37 00:02:07,560 --> 00:02:10,760 Speaker 1: are quite controversial. Talk to you about that. An interesting 38 00:02:10,840 --> 00:02:14,560 Speaker 1: moment on CNN with Brian Stelter and Barry Weiss that 39 00:02:14,560 --> 00:02:17,160 Speaker 1: we also want to break down for you. But let's 40 00:02:17,200 --> 00:02:19,919 Speaker 1: start with yesterday, we talked to you about the death 41 00:02:19,919 --> 00:02:24,080 Speaker 1: of Colon Powell caused by complications from COVID and blood cancer. 42 00:02:24,520 --> 00:02:26,120 Speaker 1: Today we've got a little bit of a look at 43 00:02:26,160 --> 00:02:28,760 Speaker 1: how the media has handled his death. I think this 44 00:02:28,800 --> 00:02:31,359 Speaker 1: is really important. It's on a variety of levels. First 45 00:02:31,360 --> 00:02:35,400 Speaker 1: on the culture war, just inability to just not let 46 00:02:35,400 --> 00:02:39,200 Speaker 1: somebody die without immediately inserting some sort of X, Y 47 00:02:39,320 --> 00:02:42,120 Speaker 1: or Z virtue signaling either way on the side, and 48 00:02:42,120 --> 00:02:45,960 Speaker 1: that's pretty much exactly what happened. So immediately after we 49 00:02:46,080 --> 00:02:49,160 Speaker 1: learn about Colon Powell's death, his family put out a statement. 50 00:02:49,200 --> 00:02:51,440 Speaker 1: I read it for you guys on the air yesterday. 51 00:02:51,480 --> 00:02:54,120 Speaker 1: They said he died of complications from COVID. He was 52 00:02:54,160 --> 00:02:57,160 Speaker 1: fully vaccinated. Then it comes out like moments later that 53 00:02:57,240 --> 00:03:01,080 Speaker 1: he had multiple myeloma blood cancer complications from that for 54 00:03:01,120 --> 00:03:04,880 Speaker 1: a long time he was extraordinarily at risk. Immediately, and 55 00:03:04,880 --> 00:03:08,920 Speaker 1: I literally mean immediately, everybody is jumping in trying to 56 00:03:08,960 --> 00:03:12,160 Speaker 1: make this either into a vaccination thing or virtue signaling 57 00:03:12,320 --> 00:03:15,639 Speaker 1: on how supposedly great he was just whitewashing the Iraq 58 00:03:15,760 --> 00:03:18,560 Speaker 1: war whenever it comes to that. Fox of course, this 59 00:03:18,720 --> 00:03:22,160 Speaker 1: is literally how they covered it, almost immediately, trying to 60 00:03:22,240 --> 00:03:25,400 Speaker 1: make it into some vaccination thing. Let's take a listen, 61 00:03:25,800 --> 00:03:28,720 Speaker 1: you brought up COVID. Look, this day will be a 62 00:03:28,800 --> 00:03:31,280 Speaker 1: day for many things, for remembering the man, for remembering 63 00:03:31,280 --> 00:03:33,840 Speaker 1: the leader that was lost. It's also a day to 64 00:03:34,160 --> 00:03:38,200 Speaker 1: understand the implication on everyday Americans, and the reports are 65 00:03:38,200 --> 00:03:40,480 Speaker 1: he died from complications of COVID. The family has made 66 00:03:40,520 --> 00:03:44,320 Speaker 1: a point in their post on Facebook this morning that 67 00:03:44,480 --> 00:03:47,880 Speaker 1: Colin Powell was fully vaccinated. And as Americans out there 68 00:03:48,360 --> 00:03:51,360 Speaker 1: wonder what lies ahead for them, and they search and 69 00:03:51,400 --> 00:03:54,840 Speaker 1: they need truth moving forward, we're seeing data from across 70 00:03:54,960 --> 00:03:57,200 Speaker 1: the world. We're seeing data from Europe, from the United Kingdom, 71 00:03:57,400 --> 00:04:00,520 Speaker 1: the fully vaccinated people are being hospitalized and fully vaccinated 72 00:04:00,560 --> 00:04:02,600 Speaker 1: people are dying from COVID. And here we have a 73 00:04:02,720 --> 00:04:06,000 Speaker 1: very high profile example that is going to require more truth, 74 00:04:06,120 --> 00:04:08,600 Speaker 1: more truth from our government of our health leaders as 75 00:04:08,640 --> 00:04:11,920 Speaker 1: well as we talk about this story on a day 76 00:04:12,200 --> 00:04:15,080 Speaker 1: when state after state and institution after institution are pushing 77 00:04:15,280 --> 00:04:19,119 Speaker 1: mandates for vaccination in this time it divided. The country 78 00:04:19,120 --> 00:04:21,000 Speaker 1: is very divided. One thing, people are pretty quick You're 79 00:04:21,000 --> 00:04:22,560 Speaker 1: going to get both sides of the aisle weighing, and 80 00:04:22,800 --> 00:04:26,599 Speaker 1: just as strongly with Colon pal because I think it 81 00:04:26,640 --> 00:04:29,080 Speaker 1: was pretty hard not to have great respect to the 82 00:04:29,120 --> 00:04:32,320 Speaker 1: person he was and what he's achieved. His parents were 83 00:04:32,360 --> 00:04:36,239 Speaker 1: immigrants from Jamaica. This there you go, Crystal. I mean 84 00:04:36,320 --> 00:04:38,360 Speaker 1: it was almost and once again you can even talk 85 00:04:38,400 --> 00:04:40,640 Speaker 1: about all of that, but kind to link it into 86 00:04:40,680 --> 00:04:42,760 Speaker 1: the Colon Powell thing. It just didn't make any sense 87 00:04:42,800 --> 00:04:45,359 Speaker 1: because by that point he actually knew about the cancer. 88 00:04:45,400 --> 00:04:48,200 Speaker 1: You know, of course that one doesn't get discussed and 89 00:04:48,320 --> 00:04:51,960 Speaker 1: it's just all, you know, drifts into the realm of 90 00:04:52,040 --> 00:04:54,760 Speaker 1: trying to insert it into day to day politics. While 91 00:04:54,800 --> 00:04:57,600 Speaker 1: also as you saw bridekil Medies, you know, pretty big 92 00:04:57,640 --> 00:05:01,480 Speaker 1: neo con just whitewashing exactly what's going on. I love 93 00:05:01,520 --> 00:05:04,080 Speaker 1: the actual legacy. They did it all there. Not only 94 00:05:04,080 --> 00:05:06,520 Speaker 1: do they, like you know, dabble in some anti voh 95 00:05:06,560 --> 00:05:08,640 Speaker 1: this causes us to have a lot of questions stuff 96 00:05:08,720 --> 00:05:12,520 Speaker 1: using one frickin anecdote to prove your point number one. 97 00:05:12,600 --> 00:05:15,080 Speaker 1: Number two, you know that he had blood cancer and 98 00:05:15,120 --> 00:05:19,719 Speaker 1: therefore his immune system was suppressed. So those are the 99 00:05:19,760 --> 00:05:23,120 Speaker 1: types of folks who, yeah, break through infections are really 100 00:05:23,200 --> 00:05:26,280 Speaker 1: dangerous for those people, and actually answer you get sick 101 00:05:26,320 --> 00:05:29,360 Speaker 1: like it's not good, right, and actually, on the contrary, 102 00:05:29,520 --> 00:05:32,279 Speaker 1: rather than making a case against a vaccine. That's why 103 00:05:32,279 --> 00:05:35,200 Speaker 1: people who are healthy do need to get vaccinated, not 104 00:05:35,480 --> 00:05:38,840 Speaker 1: just to protect themselves, but to protect people who have 105 00:05:39,080 --> 00:05:43,120 Speaker 1: conditions similar to colon pals, who for whom the vaccine 106 00:05:43,200 --> 00:05:46,159 Speaker 1: is not as effective and continue to be at high 107 00:05:46,240 --> 00:05:50,320 Speaker 1: risk to this disease because of a suppressed immune response. 108 00:05:50,320 --> 00:05:52,200 Speaker 1: So I love how they they're able to do, you know, 109 00:05:52,279 --> 00:05:54,479 Speaker 1: filter right into the right wing culture war, but also 110 00:05:54,640 --> 00:05:57,000 Speaker 1: toss it to Brian Kilmade who's then does the whitewashing 111 00:05:57,040 --> 00:05:59,400 Speaker 1: of Pal's reputation. So they had it all there on 112 00:05:59,440 --> 00:06:02,240 Speaker 1: Fox in Front. It was the same thing. Immediately John Roberts, 113 00:06:02,240 --> 00:06:05,200 Speaker 1: who actually like and respect you know, he tweeted about 114 00:06:05,200 --> 00:06:07,839 Speaker 1: how he's like this raises questions about the efficacy and 115 00:06:07,880 --> 00:06:10,520 Speaker 1: the long standingness of the vaccine. Let's put that tear 116 00:06:10,560 --> 00:06:13,120 Speaker 1: sheet up there on the screen from Business Insider, and 117 00:06:13,200 --> 00:06:15,479 Speaker 1: he quickly had to delete it, I think because Fox 118 00:06:15,480 --> 00:06:18,880 Speaker 1: News Corporate made him do so. Once again. We can 119 00:06:19,000 --> 00:06:24,080 Speaker 1: discuss vaccine efficacy declining over time, immunity versus natural immunity, 120 00:06:24,160 --> 00:06:26,560 Speaker 1: all of that, but I think it just always goes 121 00:06:26,600 --> 00:06:29,120 Speaker 1: to that people want to latch onto something in the 122 00:06:29,160 --> 00:06:32,440 Speaker 1: news and then try and immediately cleave into a political point, 123 00:06:32,480 --> 00:06:35,279 Speaker 1: and don't you worry. It's not like we're just focusing 124 00:06:35,320 --> 00:06:40,520 Speaker 1: there on Fox the entire political spectrum. Also because Colon 125 00:06:40,640 --> 00:06:43,920 Speaker 1: Powell in his latter years after the Iraq War, became 126 00:06:44,160 --> 00:06:46,520 Speaker 1: one of the most high profile Democrats in the country 127 00:06:46,760 --> 00:06:51,000 Speaker 1: and endorsed Barack Obama famously in two thousand and eight, Biden, 128 00:06:51,560 --> 00:06:54,680 Speaker 1: you know, was vehement against the Trump administration. All of that, 129 00:06:54,920 --> 00:06:59,120 Speaker 1: he got a total media makeover and Obama wrote this 130 00:06:59,320 --> 00:07:03,000 Speaker 1: like long hay giography to Colon Powell. Put that up 131 00:07:03,000 --> 00:07:05,800 Speaker 1: there on the screen, please, I mean this extra. Of 132 00:07:05,839 --> 00:07:08,039 Speaker 1: course Obama has to make it about himself. Yeah, the 133 00:07:08,120 --> 00:07:11,560 Speaker 1: endorsement about Yeah, that's what he really does, right, I mean, 134 00:07:11,600 --> 00:07:14,280 Speaker 1: this is clastic Obama. He's not allowed to let somebody 135 00:07:14,320 --> 00:07:17,840 Speaker 1: pass without making it about himself. And what the real 136 00:07:17,920 --> 00:07:21,960 Speaker 1: reminder here is that so many people wanted to try 137 00:07:22,400 --> 00:07:24,680 Speaker 1: and have it both ways. What they really want to 138 00:07:24,680 --> 00:07:27,800 Speaker 1: do is just squash the Iraq stuff so that they 139 00:07:27,800 --> 00:07:30,200 Speaker 1: could hold him up as they did long time in 140 00:07:30,240 --> 00:07:35,320 Speaker 1: the media and say, see former Republican Colon Powell supports 141 00:07:35,400 --> 00:07:37,920 Speaker 1: Barack Obama. And I remember when I was like sixteen, 142 00:07:37,960 --> 00:07:40,840 Speaker 1: and I was like, wow, that's crazy. And then after 143 00:07:40,920 --> 00:07:43,800 Speaker 1: a while you're like, oh, they're doing this about everything 144 00:07:44,080 --> 00:07:50,160 Speaker 1: former Colon Powell supports this media, you know, narrative, and 145 00:07:50,200 --> 00:07:53,160 Speaker 1: then they don't really want to talk about Colon Powell 146 00:07:53,200 --> 00:07:55,920 Speaker 1: and his legacy. And we I think, you know what 147 00:07:55,960 --> 00:08:00,560 Speaker 1: we did yesterday, we talked about Iraq. It's will be 148 00:08:00,640 --> 00:08:03,880 Speaker 1: his most lasting imprint on this country. Let's be honest, 149 00:08:03,960 --> 00:08:06,760 Speaker 1: and the world and the entire world you can ask 150 00:08:06,800 --> 00:08:11,280 Speaker 1: iraqis also you could say, well, the tragedy is he 151 00:08:11,320 --> 00:08:14,400 Speaker 1: had an inspirational life story, served in Vietnam, he was 152 00:08:14,400 --> 00:08:16,240 Speaker 1: a chairman of the Joint Chiefs, and he had a 153 00:08:16,280 --> 00:08:19,120 Speaker 1: great career, and ultimately he mortgaged his reputation with the 154 00:08:19,160 --> 00:08:21,840 Speaker 1: American people to sell us on the most disastrous foreign 155 00:08:21,840 --> 00:08:26,400 Speaker 1: policy adventure of all time in US history. And that's 156 00:08:26,760 --> 00:08:30,720 Speaker 1: really just the entire story of who Colin Powell was. 157 00:08:31,280 --> 00:08:34,120 Speaker 1: And we're not you know, look, I wish his family 158 00:08:34,160 --> 00:08:37,960 Speaker 1: the best relative all of that. Nobody wants to cause 159 00:08:38,000 --> 00:08:40,520 Speaker 1: them pain. But when you are a public servant and 160 00:08:40,559 --> 00:08:44,360 Speaker 1: you have such a long impact on the world, remembering 161 00:08:44,440 --> 00:08:48,360 Speaker 1: who these people are correctly is important. The stories that 162 00:08:48,400 --> 00:08:52,120 Speaker 1: we tell about who people were and about their faults 163 00:08:52,120 --> 00:08:55,280 Speaker 1: and then some of their pluses. It doesn't have to 164 00:08:55,320 --> 00:08:58,120 Speaker 1: be just one or the other. And unfortunately, that's basically 165 00:08:58,200 --> 00:09:02,360 Speaker 1: how the entire like you know, mainstream media tried to 166 00:09:02,400 --> 00:09:05,240 Speaker 1: cover this, like they are attacking people who even brought 167 00:09:05,360 --> 00:09:08,400 Speaker 1: up the Iraq War. That was the real problem I saw. Yeah, 168 00:09:08,440 --> 00:09:11,440 Speaker 1: So none of these people who lied us into war 169 00:09:11,640 --> 00:09:14,560 Speaker 1: faced any sort of accountability in terms of justice for 170 00:09:14,640 --> 00:09:17,439 Speaker 1: the crimes that they committed, the lives that they perpetrated 171 00:09:17,440 --> 00:09:21,080 Speaker 1: on the American people, the servicemen and women of ours 172 00:09:21,120 --> 00:09:23,800 Speaker 1: who were sent overseas to fight and die or be 173 00:09:23,920 --> 00:09:26,880 Speaker 1: grievously wounded, or just be taken away from their family 174 00:09:26,880 --> 00:09:29,880 Speaker 1: at critical moments their life. There was never any accountability 175 00:09:29,880 --> 00:09:32,880 Speaker 1: for that, let alone the hundreds of thousands of Iraqis 176 00:09:33,080 --> 00:09:35,439 Speaker 1: who died in that conflict, let alone what happened in 177 00:09:35,480 --> 00:09:38,679 Speaker 1: Afghanistan over all of these many years as well. There 178 00:09:38,720 --> 00:09:41,920 Speaker 1: was no justice or accountability over that. So at the 179 00:09:42,080 --> 00:09:46,560 Speaker 1: very least, when a person passes, there has to be 180 00:09:46,760 --> 00:09:53,120 Speaker 1: an accurate public record of what they actually did. As 181 00:09:53,240 --> 00:09:56,840 Speaker 1: you know, a public figure with immense amounts of power 182 00:09:57,360 --> 00:10:00,720 Speaker 1: in their life, it's not to be mean, to be nasty, 183 00:10:00,760 --> 00:10:03,360 Speaker 1: it's not to cause his family pain, who one hundred 184 00:10:03,400 --> 00:10:06,839 Speaker 1: percent I feel for them in their sorrow. And all 185 00:10:06,840 --> 00:10:09,360 Speaker 1: the reports are on a personal level that he was 186 00:10:09,440 --> 00:10:14,240 Speaker 1: a kind and wonderful person. This has nothing to do 187 00:10:14,320 --> 00:10:16,880 Speaker 1: with that. This is about when you are a public 188 00:10:16,920 --> 00:10:19,720 Speaker 1: figure who had that kind of immense power in the 189 00:10:19,880 --> 00:10:24,800 Speaker 1: final calculus, the public record needs to be accurate of 190 00:10:24,840 --> 00:10:27,880 Speaker 1: what exactly you did. Now, there was one more that 191 00:10:27,960 --> 00:10:31,560 Speaker 1: happened last night Fox incident to Adivils, which is after 192 00:10:31,559 --> 00:10:34,000 Speaker 1: the whole day of knowing that it was not only 193 00:10:34,040 --> 00:10:36,800 Speaker 1: COVID but blood cancer. Of course, Tucker does an entire 194 00:10:36,880 --> 00:10:41,440 Speaker 1: monologue about how this shows you that you've been lied 195 00:10:41,520 --> 00:10:43,559 Speaker 1: to about the vaccine and all of this, I mean, 196 00:10:43,720 --> 00:10:47,320 Speaker 1: just flagrantly wrong and irresponsible and all of those things. 197 00:10:47,640 --> 00:10:51,600 Speaker 1: But I think your right to frame this as immediately 198 00:10:52,080 --> 00:10:55,920 Speaker 1: his death, rather than seeking what is an accurate portrayal 199 00:10:56,120 --> 00:10:59,280 Speaker 1: of his true lasting legacy and the imprint he left 200 00:10:59,280 --> 00:11:02,800 Speaker 1: on this country in the world. It was immediately filtered 201 00:11:02,840 --> 00:11:07,439 Speaker 1: through the culture war lens on the right. They wanted 202 00:11:07,480 --> 00:11:10,200 Speaker 1: to use this to make a point about vaccines and 203 00:11:10,559 --> 00:11:13,600 Speaker 1: liberals who have held up not only Colin Powell, but 204 00:11:13,960 --> 00:11:18,040 Speaker 1: any number of Bush era neocons, some of the worst 205 00:11:18,080 --> 00:11:22,240 Speaker 1: war criminals in history. They've held up as icons of 206 00:11:22,280 --> 00:11:26,600 Speaker 1: the resistance because they happen to be against Donald Trump. 207 00:11:26,960 --> 00:11:31,640 Speaker 1: Trump becomes the defining figure, the defining issue. Nothing else matters. 208 00:11:31,679 --> 00:11:33,959 Speaker 1: Any other sin or crime you created in the past 209 00:11:34,000 --> 00:11:36,360 Speaker 1: can be forgiven so long as you have the right 210 00:11:36,400 --> 00:11:39,080 Speaker 1: answer on that one question of where do you stand 211 00:11:39,920 --> 00:11:42,440 Speaker 1: on Donald Trump. By the way, this also showed up 212 00:11:42,520 --> 00:11:44,640 Speaker 1: with some folks on Fox, Chris Wallace. We've showed you 213 00:11:44,640 --> 00:11:47,640 Speaker 1: Brian Kilmead earlier. We can throw the Chris Wallace tear 214 00:11:47,640 --> 00:11:51,400 Speaker 1: sheet up on the screen. He went, you know, out 215 00:11:51,400 --> 00:11:53,520 Speaker 1: of his way to say this, Oh, this one thing 216 00:11:53,600 --> 00:11:58,160 Speaker 1: with regard to Iraq and the infamous WMD speech, that 217 00:11:58,240 --> 00:12:01,560 Speaker 1: was just a blot on a time figure's career. And 218 00:12:01,600 --> 00:12:04,680 Speaker 1: it shouldn't define Colin Powell. And in fact, I know 219 00:12:04,840 --> 00:12:08,440 Speaker 1: Colon Powell very much wanted for that not to define 220 00:12:08,520 --> 00:12:11,640 Speaker 1: his entire legacy. But the fact of the matter is 221 00:12:12,760 --> 00:12:16,000 Speaker 1: that is the largest impact that he had. That is, 222 00:12:16,360 --> 00:12:21,080 Speaker 1: he used what was a pristine reputation in Washington with 223 00:12:21,160 --> 00:12:24,120 Speaker 1: Democrats and Republicans and the entire American people, and the 224 00:12:24,600 --> 00:12:29,040 Speaker 1: people certainly the DC Foreign Policy establishment. The Bush administration 225 00:12:29,160 --> 00:12:32,800 Speaker 1: knew they didn't have that kind of credibility, so they 226 00:12:33,320 --> 00:12:37,320 Speaker 1: used Colin Powell to make the case at the UN, 227 00:12:37,440 --> 00:12:41,320 Speaker 1: to make the case to reluctant Democrats in Congress as well. 228 00:12:41,880 --> 00:12:44,160 Speaker 1: He was the one that I don't know if you're 229 00:12:44,200 --> 00:12:45,760 Speaker 1: with this is like digging up the past, but I 230 00:12:45,760 --> 00:12:48,080 Speaker 1: think it's important to remember these things. He was the 231 00:12:48,120 --> 00:12:50,880 Speaker 1: one that came up with this initial strategy of we're 232 00:12:50,880 --> 00:12:55,080 Speaker 1: going to get new weapons inspections and a vote to 233 00:12:55,160 --> 00:12:58,040 Speaker 1: authorize war. Well, that's really just putting pressure on the 234 00:12:58,240 --> 00:13:01,200 Speaker 1: UN to be more aggressed of against Iraq. Of course 235 00:13:01,200 --> 00:13:02,760 Speaker 1: that turned a vote for war turned out to be 236 00:13:02,760 --> 00:13:04,440 Speaker 1: a vote for war. Who could have seen that coming. 237 00:13:04,679 --> 00:13:08,000 Speaker 1: But because Colin Powell had endorsed this strategy, that gave 238 00:13:08,080 --> 00:13:10,600 Speaker 1: a lot of Democrats who were open to it but 239 00:13:10,679 --> 00:13:13,160 Speaker 1: who were on the fence that pushed them in the direction. 240 00:13:13,679 --> 00:13:16,360 Speaker 1: And then of course the speech that he gives at 241 00:13:16,400 --> 00:13:20,760 Speaker 1: the UN, that he carefully crafted, that he delivered very forcefully, 242 00:13:21,200 --> 00:13:25,640 Speaker 1: that said it was you know unequivocally that Iraq had 243 00:13:25,800 --> 00:13:29,960 Speaker 1: these biological weapons and weapons of mass destruction. It is 244 00:13:30,040 --> 00:13:34,720 Speaker 1: hard to understate, like you cannot overstate how much that 245 00:13:34,880 --> 00:13:38,040 Speaker 1: changed the calculus in Washington. How much that pushed some 246 00:13:38,080 --> 00:13:41,800 Speaker 1: of these reluctant players on board. Powell, from all reports, 247 00:13:42,400 --> 00:13:46,040 Speaker 1: had a lot of reservations about this war and was 248 00:13:46,400 --> 00:13:51,120 Speaker 1: opposed internally to going into a rock. He basically said, 249 00:13:51,160 --> 00:13:53,160 Speaker 1: you know, listen, you break it, you buy it, and 250 00:13:53,200 --> 00:13:57,720 Speaker 1: this could be a potential disaster. But rather than speaking that, 251 00:13:58,080 --> 00:14:00,800 Speaker 1: rather than resigning in protest, rather than taking any number 252 00:14:00,840 --> 00:14:05,640 Speaker 1: of other paths, instead he fell in line. He was 253 00:14:05,679 --> 00:14:08,240 Speaker 1: the good soldier and he went out and made the 254 00:14:08,280 --> 00:14:13,040 Speaker 1: case that led to utter disaster. He was instrumental in 255 00:14:13,160 --> 00:14:16,360 Speaker 1: ultimately ultimately making that case. And you know what's ironic here. 256 00:14:16,360 --> 00:14:18,760 Speaker 1: As you mentioned he served in Vietnam. He also played 257 00:14:18,760 --> 00:14:21,480 Speaker 1: a small role in covering up a massacre in Vietnam 258 00:14:21,520 --> 00:14:24,080 Speaker 1: as well. So that's a little preview of things that 259 00:14:24,080 --> 00:14:27,440 Speaker 1: were to come in his career. But the pal doctrine 260 00:14:27,720 --> 00:14:30,840 Speaker 1: was all about avoiding the mistakes of Vietnam. Yeah, that's true. 261 00:14:31,040 --> 00:14:33,040 Speaker 1: It was all about we have to make sure that 262 00:14:33,080 --> 00:14:35,640 Speaker 1: the public's on board. We have to make sure that 263 00:14:35,720 --> 00:14:39,040 Speaker 1: there's a clear objective that you go in with overwhelming 264 00:14:39,080 --> 00:14:40,920 Speaker 1: force and then you get the hell out of there, 265 00:14:41,000 --> 00:14:44,960 Speaker 1: so that we don't end up mired in these forever wars. 266 00:14:45,720 --> 00:14:48,600 Speaker 1: And then in the in the end, he of course 267 00:14:49,040 --> 00:14:55,120 Speaker 1: becomes instrumental in pushing our nation back into the next Vietnam, 268 00:14:55,560 --> 00:14:58,080 Speaker 1: a conflict from which, you know, which was just a 269 00:14:58,120 --> 00:15:01,640 Speaker 1: disaster from start to finish, which was necessary and uncalled 270 00:15:01,640 --> 00:15:05,360 Speaker 1: for to begin with, and which lasted, lasted and lasted 271 00:15:05,680 --> 00:15:09,840 Speaker 1: without public support. So that's the truth about coldon POW's legacy. 272 00:15:09,880 --> 00:15:12,480 Speaker 1: I think that's right. And look, I think our listeners 273 00:15:12,480 --> 00:15:14,960 Speaker 1: who are eighteen nineteen or even you know, maybe even 274 00:15:14,960 --> 00:15:17,200 Speaker 1: a little bit older, you guys probably don't remember like 275 00:15:17,280 --> 00:15:19,640 Speaker 1: how the run up to the war and how instrumental 276 00:15:19,640 --> 00:15:22,000 Speaker 1: that he was. I mean, this was the speech, the 277 00:15:22,080 --> 00:15:24,640 Speaker 1: defining speech that pushed the public and a lot of 278 00:15:24,680 --> 00:15:27,440 Speaker 1: the people in the international community to support the invasion 279 00:15:27,480 --> 00:15:29,560 Speaker 1: of Iraq. Let's take a listen to that. Things that 280 00:15:30,240 --> 00:15:32,800 Speaker 1: emerges from the thick intelligence file we have on O 281 00:15:32,840 --> 00:15:37,800 Speaker 1: Racks biological weapons is the existence of mobile production facilities 282 00:15:38,320 --> 00:15:41,960 Speaker 1: used to make biological agents. Let me take you inside 283 00:15:42,520 --> 00:15:45,040 Speaker 1: that intelligence file and share with you what we know 284 00:15:45,720 --> 00:15:51,800 Speaker 1: from eyewitness accounts. We have first hand descriptions of biological 285 00:15:51,840 --> 00:15:55,880 Speaker 1: weapons factories on wheels and on rails. The trucks and 286 00:15:55,920 --> 00:15:59,360 Speaker 1: train cars are easily moved and are designed to evade 287 00:15:59,400 --> 00:16:02,560 Speaker 1: detection by inspectors. In a matter of months, they can 288 00:16:02,600 --> 00:16:06,200 Speaker 1: produce a quantity of biological poison equal to the entire 289 00:16:06,240 --> 00:16:08,960 Speaker 1: amount that Iraq claimed to have produced in the years 290 00:16:09,000 --> 00:16:13,520 Speaker 1: prior to the go for Sadam Hussein's intentions have never changed. 291 00:16:14,040 --> 00:16:17,000 Speaker 1: He is not developing the missiles for self defense. These 292 00:16:17,080 --> 00:16:20,120 Speaker 1: are missiles that Iraq wants in order to project power, 293 00:16:20,720 --> 00:16:24,960 Speaker 1: to threaten, and to deliver a chemical biological and if 294 00:16:25,000 --> 00:16:29,680 Speaker 1: we let him nuclear warheads. Yeah, not a single thing. 295 00:16:29,720 --> 00:16:31,880 Speaker 1: And that turned out to be true, Chris, Yeah, not one. 296 00:16:31,920 --> 00:16:34,600 Speaker 1: And actually sitting behind him was George Tennant, the CIA director, 297 00:16:34,640 --> 00:16:38,080 Speaker 1: who also was instrumental and also has never faced any accountability. 298 00:16:38,440 --> 00:16:40,480 Speaker 1: And there was a good tweet, Actually, let's put this 299 00:16:40,560 --> 00:16:42,440 Speaker 1: up there on the screen, which just goes to show, 300 00:16:42,480 --> 00:16:45,960 Speaker 1: I mean, this was the aftermath of how important that 301 00:16:46,080 --> 00:16:49,920 Speaker 1: speech was in convincing the American foreign policy establishment to 302 00:16:49,960 --> 00:16:52,200 Speaker 1: go to war. And I thought Spencer Ackerman actually put 303 00:16:52,240 --> 00:16:54,320 Speaker 1: this quite well. Put the next one up there on 304 00:16:54,360 --> 00:16:56,680 Speaker 1: the screen, please, which is that? And this is why 305 00:16:56,680 --> 00:16:59,200 Speaker 1: we're spending so much time on this whatever else Colon 306 00:16:59,280 --> 00:17:01,520 Speaker 1: Powell achieved in life, and it was a lot. He 307 00:17:01,640 --> 00:17:03,960 Speaker 1: was the only man who could have stopped the Iraq War, 308 00:17:04,240 --> 00:17:06,359 Speaker 1: and instead he chose to swallow his doubts about the 309 00:17:06,400 --> 00:17:09,480 Speaker 1: disaster that he knew it would be and sell the invasion. 310 00:17:09,600 --> 00:17:11,280 Speaker 1: And I think that that's what it is. He was 311 00:17:11,320 --> 00:17:14,520 Speaker 1: a man of integrity, and he was somebody who developed 312 00:17:14,520 --> 00:17:17,880 Speaker 1: the power doctrine. He was somebody who off the record 313 00:17:17,920 --> 00:17:20,239 Speaker 1: was calling every journalist in Washington saying, this is going 314 00:17:20,280 --> 00:17:22,440 Speaker 1: to be a total disaster. But when it came down 315 00:17:22,440 --> 00:17:24,439 Speaker 1: to it, he did not look President Bush in the 316 00:17:24,480 --> 00:17:27,120 Speaker 1: eyes and say I'm against this war. He never told 317 00:17:27,160 --> 00:17:28,919 Speaker 1: him that he was actually against it, and at the 318 00:17:29,000 --> 00:17:31,120 Speaker 1: end of the day he acquiesced to it. And when 319 00:17:31,119 --> 00:17:33,840 Speaker 1: Iraq started to become a disaster, he put it off 320 00:17:34,440 --> 00:17:37,560 Speaker 1: onto Condoleeza Rice in Donald Rumswell's hands and said, Okay, 321 00:17:37,600 --> 00:17:39,760 Speaker 1: you guys handle it. Because he wanted to preserve his 322 00:17:39,840 --> 00:17:44,000 Speaker 1: Stirling reputation and get out of the administration while maintaining 323 00:17:44,040 --> 00:17:47,320 Speaker 1: the credibility without having done anything to prevent the war 324 00:17:47,320 --> 00:17:49,040 Speaker 1: in the first place. Well, that's what we have to 325 00:17:49,040 --> 00:17:54,040 Speaker 1: talk about here. There's a lot of human flaws that 326 00:17:54,160 --> 00:17:56,840 Speaker 1: led him to that moment. First of all, there's the 327 00:17:57,320 --> 00:18:00,919 Speaker 1: soldier's mentality, the fall in line. You know, you're not 328 00:18:00,960 --> 00:18:02,760 Speaker 1: there to have an opinion, You're there to do what 329 00:18:02,800 --> 00:18:05,040 Speaker 1: you're told. It's okay, the secretary of State, you literally 330 00:18:05,119 --> 00:18:08,639 Speaker 1: are there for your opinion. Indeed, yes, indeed, and not 331 00:18:08,760 --> 00:18:11,320 Speaker 1: to mention. I mean, just when you reach those heights 332 00:18:11,359 --> 00:18:19,080 Speaker 1: of power, your judgment really really matters. And especially because 333 00:18:19,600 --> 00:18:23,120 Speaker 1: there was so much trust vested in him, he really look, 334 00:18:23,160 --> 00:18:25,520 Speaker 1: there's no guarantees he could have avoided war, but as 335 00:18:25,520 --> 00:18:27,760 Speaker 1: Spencer puts it, there he was the last man that 336 00:18:27,920 --> 00:18:32,119 Speaker 1: really had a shot, and instead, when Bush came to 337 00:18:32,160 --> 00:18:33,840 Speaker 1: him and said, listen, I think we got to go 338 00:18:33,880 --> 00:18:35,960 Speaker 1: into a rock. Are you with me? He said yes, 339 00:18:36,000 --> 00:18:40,080 Speaker 1: I am, yes, sir. And part of it too was 340 00:18:40,280 --> 00:18:43,080 Speaker 1: careerist ambition. I don't think there's any doubt about that. 341 00:18:43,640 --> 00:18:46,360 Speaker 1: The truth of the matter was within the Bush administration 342 00:18:46,520 --> 00:18:51,240 Speaker 1: he was kind of on the outside. Cheney, Rumsfeld, Condallieza Rice, 343 00:18:51,440 --> 00:18:53,760 Speaker 1: they were the ones who were really the power players 344 00:18:54,240 --> 00:18:58,440 Speaker 1: who had the you're the president and so what Condallieza 345 00:18:58,520 --> 00:19:03,919 Speaker 1: Rice advised Colon Powell reportedly was that if he you know, 346 00:19:04,720 --> 00:19:07,080 Speaker 1: threw in with Bush on this, and he went and 347 00:19:07,080 --> 00:19:09,040 Speaker 1: made the case the un that he would be in 348 00:19:09,080 --> 00:19:13,040 Speaker 1: the position then he could manage the war. And he thought, okay, well, 349 00:19:13,040 --> 00:19:15,160 Speaker 1: if I can be the person who manages the war, 350 00:19:15,680 --> 00:19:18,199 Speaker 1: then this can be less of a disaster. Of course, 351 00:19:18,400 --> 00:19:21,520 Speaker 1: they had no intention of actually using him in that regard. 352 00:19:21,560 --> 00:19:24,520 Speaker 1: They only wanted to use him because of his reputation. 353 00:19:24,640 --> 00:19:26,320 Speaker 1: And so he ends up just being the one that 354 00:19:26,400 --> 00:19:29,560 Speaker 1: launders all of this for the American public and for 355 00:19:29,760 --> 00:19:34,199 Speaker 1: Democrats in Congress, and that's ultimately shameful. And also, you know, 356 00:19:34,280 --> 00:19:35,679 Speaker 1: I saw a lot of o in the end. He 357 00:19:35,760 --> 00:19:38,360 Speaker 1: regretted it, et cetera, et cetera. But look, I went 358 00:19:38,400 --> 00:19:40,679 Speaker 1: back and watched a bunch of interviews of Colin Powell 359 00:19:40,720 --> 00:19:43,280 Speaker 1: from after he was out of the administration two thousand 360 00:19:43,280 --> 00:19:45,680 Speaker 1: and five, two thousand and six, when number one, it's 361 00:19:45,720 --> 00:19:48,600 Speaker 1: totally clear there's no weapons of mass destruction. Number two, 362 00:19:48,680 --> 00:19:51,480 Speaker 1: it's totally clear that a rock is a complete disaster. 363 00:19:52,160 --> 00:19:54,080 Speaker 1: But when he still could have had a lot of 364 00:19:54,160 --> 00:19:56,680 Speaker 1: influence in terms of the course and direction of that war, 365 00:19:57,119 --> 00:19:59,560 Speaker 1: he was still carrying water for Bush, saying listen, the 366 00:19:59,600 --> 00:20:03,000 Speaker 1: President and didn't know we use the best intelligence that 367 00:20:03,040 --> 00:20:05,920 Speaker 1: we had, and so I think that's one other learning 368 00:20:05,920 --> 00:20:08,320 Speaker 1: from this too, though, is that you know, he was 369 00:20:08,359 --> 00:20:11,640 Speaker 1: a creature of the foreign policy establishment of Washington, and he, 370 00:20:11,960 --> 00:20:14,800 Speaker 1: even though he was reluctant to go to war in Iraq, 371 00:20:15,400 --> 00:20:19,160 Speaker 1: he thought, like the rest of the foreign policy establishment did, 372 00:20:19,400 --> 00:20:22,160 Speaker 1: that there were weapons of mass destruction, that Saddam Hussein 373 00:20:22,320 --> 00:20:23,919 Speaker 1: was this you know, bad actor that needed to be 374 00:20:23,960 --> 00:20:27,360 Speaker 1: taken out. And so because he was of that total 375 00:20:27,440 --> 00:20:30,840 Speaker 1: group think mindset, which we see far too often here 376 00:20:30,880 --> 00:20:33,639 Speaker 1: in this town, that also was what pushed him in 377 00:20:33,640 --> 00:20:37,520 Speaker 1: the direction of ultimately making this incredibly faithful speech and 378 00:20:37,720 --> 00:20:42,359 Speaker 1: paving the road that ultimately led to the utter catastrophe 379 00:20:42,400 --> 00:20:44,200 Speaker 1: for our nation and for the globe that was the 380 00:20:44,240 --> 00:20:46,920 Speaker 1: Iraq for It's very difficult to describe just because we're 381 00:20:46,960 --> 00:20:48,920 Speaker 1: on the tail end of it now, what Iraq did 382 00:20:48,960 --> 00:20:53,040 Speaker 1: to our international credibility, to our domestic politics, to everything. Really, 383 00:20:53,040 --> 00:20:54,639 Speaker 1: I mean, the entire world that we live in is 384 00:20:54,680 --> 00:20:58,400 Speaker 1: because of Iraq. Even the financial crisis, arguably I mean Afghanistan, 385 00:20:58,440 --> 00:21:01,280 Speaker 1: the trillions of dollars spent, Who knows how different it 386 00:21:01,359 --> 00:21:03,800 Speaker 1: all could have come together. So we have to spend time. 387 00:21:03,840 --> 00:21:06,440 Speaker 1: And part of the real tragedy of the Iraq War 388 00:21:06,840 --> 00:21:09,280 Speaker 1: was all of the people like Powell, media and more 389 00:21:09,320 --> 00:21:11,480 Speaker 1: who had a lot of trust with the American people 390 00:21:11,680 --> 00:21:14,440 Speaker 1: who mortgaged it for a lie that cost the lives 391 00:21:14,440 --> 00:21:17,600 Speaker 1: of thousands of American soldiers. Of who knows how many 392 00:21:17,880 --> 00:21:22,800 Speaker 1: Iraqis of Isis Syria. I mean, we are so much 393 00:21:22,920 --> 00:21:25,680 Speaker 1: less safe and worse off because of the Iraq War 394 00:21:25,720 --> 00:21:28,720 Speaker 1: that it's difficult to understand. And so it's in these 395 00:21:28,760 --> 00:21:32,160 Speaker 1: times that we have to have this discussion, a nuanced discussion, yeah, 396 00:21:32,240 --> 00:21:34,600 Speaker 1: about what it meant and why and the people who 397 00:21:34,600 --> 00:21:37,040 Speaker 1: were involved, so that the people who are younger who 398 00:21:37,119 --> 00:21:40,000 Speaker 1: don't remember, can have an accurate understanding of what actually 399 00:21:40,080 --> 00:21:44,520 Speaker 1: went down. Yeah. And the last response, highly cringe response 400 00:21:44,600 --> 00:21:49,040 Speaker 1: that will show you is from Congressman Jamal Bowman, squad 401 00:21:49,119 --> 00:21:53,960 Speaker 1: member Progressive, who said, as a black man just trying 402 00:21:53,960 --> 00:21:56,600 Speaker 1: to figure out the world, Colon Powell was an inspiration. 403 00:21:56,720 --> 00:21:59,200 Speaker 1: He was from NYC, went to City College and rose 404 00:21:59,200 --> 00:22:01,760 Speaker 1: to the highest rank of our nation. Sending love, strength, 405 00:22:01,760 --> 00:22:04,919 Speaker 1: and prayer to the family and friends of Secretary Powell. 406 00:22:05,520 --> 00:22:11,280 Speaker 1: Rest in power, sir, so, I don't doubt that Colin 407 00:22:11,359 --> 00:22:15,680 Speaker 1: Powell was in his you know, truly remarkable up from 408 00:22:15,680 --> 00:22:19,560 Speaker 1: the bootstraps immigrant parents. Not an exceptional student goes to 409 00:22:19,600 --> 00:22:22,120 Speaker 1: city college in New York, so not you know, Harvard 410 00:22:22,200 --> 00:22:25,119 Speaker 1: or Yale or one of the big name schools. I 411 00:22:25,200 --> 00:22:30,200 Speaker 1: don't doubt that that example was an inspiration to many. 412 00:22:30,680 --> 00:22:35,440 Speaker 1: But you cannot leave out that that inspiration turned out 413 00:22:35,440 --> 00:22:39,240 Speaker 1: to be fools gold, because in the end it resulted 414 00:22:39,359 --> 00:22:44,000 Speaker 1: in total catastrophe. And if you're not telling that part 415 00:22:44,000 --> 00:22:47,360 Speaker 1: of the story, then you're just not telling the truth 416 00:22:47,840 --> 00:22:51,280 Speaker 1: about the life and legacy of this man. Ultimately. That's right, 417 00:22:51,320 --> 00:22:54,920 Speaker 1: Chrys all right, So we've got some really interesting news 418 00:22:54,920 --> 00:22:58,080 Speaker 1: for you here on the union busting front, a couple 419 00:22:58,080 --> 00:23:00,399 Speaker 1: of stories to bring to you. Let's start with Starbucks. Slitzer. 420 00:23:00,520 --> 00:23:03,760 Speaker 1: This tear sheet up on the screen. So a number 421 00:23:03,800 --> 00:23:07,160 Speaker 1: of stores, Starbucks stores in Buffalo have been working to unionize, 422 00:23:07,240 --> 00:23:11,320 Speaker 1: news that we brought you before, and this would be 423 00:23:11,359 --> 00:23:14,159 Speaker 1: the first These would be the first Starbucks stores to 424 00:23:14,240 --> 00:23:16,919 Speaker 1: be unionized in the entire country. So this is a 425 00:23:16,960 --> 00:23:20,840 Speaker 1: really big deal, and Starbucks appears to be totally freaking 426 00:23:20,880 --> 00:23:28,080 Speaker 1: out and taking radical approaches to making sure that these 427 00:23:28,119 --> 00:23:31,240 Speaker 1: workers do not Ultimately unionize New York Times with a 428 00:23:31,240 --> 00:23:33,679 Speaker 1: good story here about some of the tactics that have 429 00:23:33,840 --> 00:23:38,520 Speaker 1: been employed. The lead is During her decade plus at Starbucks, 430 00:23:38,600 --> 00:23:41,240 Speaker 1: Michelle Iisen says she's endured her share of workplace stress. 431 00:23:41,600 --> 00:23:45,080 Speaker 1: She points to increase productivity, goals, high turnover, etc. But 432 00:23:45,240 --> 00:23:48,040 Speaker 1: she had never encountered a change that the company made. 433 00:23:48,080 --> 00:23:50,280 Speaker 1: After workers at her store and two other Buffalo area 434 00:23:50,359 --> 00:23:54,920 Speaker 1: locations filed for a union election, two additional support managers 435 00:23:55,000 --> 00:23:57,960 Speaker 1: quote unquote from outam State who often work on the 436 00:23:58,000 --> 00:24:00,240 Speaker 1: floor with the barisas and who according to Massi and 437 00:24:00,440 --> 00:24:04,320 Speaker 1: have created on ees. Now. Starbucks says those additional managers 438 00:24:04,640 --> 00:24:08,160 Speaker 1: in along with they've also flooded these stores with new 439 00:24:08,160 --> 00:24:12,119 Speaker 1: workers who haven't weren't initially involved in the union efforts. 440 00:24:12,119 --> 00:24:13,960 Speaker 1: So now you've got a new whole group of people 441 00:24:14,040 --> 00:24:16,080 Speaker 1: that you've got to educate and you've got to persuade, 442 00:24:16,560 --> 00:24:18,880 Speaker 1: and by the way, you've got to do this under 443 00:24:18,920 --> 00:24:24,000 Speaker 1: the watchful eye of these like corporate level managers who 444 00:24:24,000 --> 00:24:27,800 Speaker 1: have come in to effectively spy on these workers. It's 445 00:24:28,040 --> 00:24:31,239 Speaker 1: very clear what's going on here. Another tactic that they 446 00:24:31,359 --> 00:24:34,919 Speaker 1: use so early on, they have pushed to expand the 447 00:24:34,960 --> 00:24:37,280 Speaker 1: bargaining unit, so that it's not just these couple of 448 00:24:37,320 --> 00:24:39,800 Speaker 1: stores that said, hey, we want to unionize that they're saying, oh, 449 00:24:39,800 --> 00:24:41,760 Speaker 1: we want it to be all of the stores in Buffalo, 450 00:24:42,000 --> 00:24:43,840 Speaker 1: which of course makes it harder because again you've got 451 00:24:43,840 --> 00:24:45,560 Speaker 1: to go now, you've got to organize all of those 452 00:24:45,560 --> 00:24:48,120 Speaker 1: stores in Buffalo. So they did that. Then they had 453 00:24:48,160 --> 00:24:51,760 Speaker 1: these quote unquote listening sessions, which of course were you know, 454 00:24:51,840 --> 00:24:56,040 Speaker 1: anti union propaganda one on one in a very intimidating setting. 455 00:24:56,440 --> 00:24:59,080 Speaker 1: They had corporate executives all the way up to the 456 00:24:59,200 --> 00:25:03,200 Speaker 1: level of how we're Schultz come in and you know, 457 00:25:03,280 --> 00:25:05,880 Speaker 1: be in these stores and sit for some of these 458 00:25:05,920 --> 00:25:09,600 Speaker 1: listening sessions with workers. And now what they're partly doing 459 00:25:09,920 --> 00:25:14,240 Speaker 1: is flooding the stores with new workers, sending in these spies, 460 00:25:14,359 --> 00:25:16,760 Speaker 1: these assistant managers to make sure there's no you know, 461 00:25:16,920 --> 00:25:20,960 Speaker 1: funny business about talking about worker solidarity or unions. They're 462 00:25:20,960 --> 00:25:24,000 Speaker 1: going above and beyond to make sure that this union 463 00:25:24,080 --> 00:25:26,439 Speaker 1: drive is ultimately not successful. And we got to be 464 00:25:26,440 --> 00:25:29,160 Speaker 1: honest with you, I mean, i'll probably work oh yeah, 465 00:25:29,160 --> 00:25:32,280 Speaker 1: because we've we've seen when companies decide there's not going 466 00:25:32,320 --> 00:25:34,840 Speaker 1: to be a union there, whether it's Starbucks, whether it's Amazon, 467 00:25:34,840 --> 00:25:38,320 Speaker 1: whether it's Walmart, they will do whatever's necessary. Now, I 468 00:25:38,359 --> 00:25:41,199 Speaker 1: will tell you that some of these, according to New 469 00:25:41,280 --> 00:25:43,920 Speaker 1: York Times, and according to my own knowledge of labor law, 470 00:25:44,480 --> 00:25:47,879 Speaker 1: some of these tactics probably fall into the category of 471 00:25:47,920 --> 00:25:51,760 Speaker 1: illegal intimidation. But you have to investigate it. Union elections 472 00:25:51,760 --> 00:25:54,600 Speaker 1: are supposed to take place in a laboratory like condition. 473 00:25:55,240 --> 00:25:57,159 Speaker 1: It is not supposed to be subject to all this 474 00:25:57,240 --> 00:25:59,600 Speaker 1: kind of pressure and manipulation and changing the game and 475 00:25:59,600 --> 00:26:02,359 Speaker 1: bringing people in and these assistant manager as serving spies. 476 00:26:03,040 --> 00:26:05,600 Speaker 1: That none of that is supposed to be happening. So 477 00:26:05,640 --> 00:26:09,240 Speaker 1: it's very possible that, like what happened in Bessemer, Alabama, 478 00:26:09,440 --> 00:26:12,120 Speaker 1: if the union election does happen and the workers who 479 00:26:12,200 --> 00:26:14,960 Speaker 1: want a union do not prevail, it is likely this 480 00:26:15,040 --> 00:26:17,320 Speaker 1: will be contested and they may have to run a 481 00:26:17,320 --> 00:26:19,879 Speaker 1: new election, et cetera, et cetera. But especially in a 482 00:26:19,920 --> 00:26:23,760 Speaker 1: service industry where turnover is already very quick, the more 483 00:26:23,800 --> 00:26:26,280 Speaker 1: you push these things off into the future, the greater 484 00:26:26,359 --> 00:26:29,680 Speaker 1: your chance of ultimate successes. So Starbucks likely breaking the 485 00:26:29,760 --> 00:26:32,480 Speaker 1: law here, and also it likely won't matter. Well, what's 486 00:26:32,480 --> 00:26:34,639 Speaker 1: stunning is that they even have a transcript of a 487 00:26:34,720 --> 00:26:37,679 Speaker 1: video in which a district manager this was just in September, 488 00:26:38,080 --> 00:26:41,200 Speaker 1: was in Arizona, and she tells coworkers the company asked 489 00:26:41,240 --> 00:26:43,640 Speaker 1: her to spend time in Buffalo over the next ninety 490 00:26:43,720 --> 00:26:46,640 Speaker 1: days because quote, there's a huge task force out there 491 00:26:46,760 --> 00:26:49,240 Speaker 1: that's trying to fix the problem. Because if Buffalo York 492 00:26:49,280 --> 00:26:52,880 Speaker 1: has unionized, it will be the first market in Starbucks' history. Yeah, 493 00:26:52,920 --> 00:26:55,600 Speaker 1: and she also says that when someone as if the 494 00:26:55,640 --> 00:26:58,360 Speaker 1: task force is a quote last ditch effort to try 495 00:26:58,400 --> 00:27:01,040 Speaker 1: and stop it, she says, yeah, we're gonna save it. 496 00:27:01,320 --> 00:27:05,560 Speaker 1: I mean, it's on vidio. It's literally out the open. 497 00:27:05,840 --> 00:27:08,240 Speaker 1: It's pretty stunning. I love how they're just packing these 498 00:27:08,240 --> 00:27:10,399 Speaker 1: stores full of employees, even though they don't need to 499 00:27:10,440 --> 00:27:13,359 Speaker 1: be there all in order to try and screw with it. 500 00:27:13,400 --> 00:27:15,560 Speaker 1: I mean, look, it doesn't take a genius to say 501 00:27:15,560 --> 00:27:18,639 Speaker 1: that this seems pretty illegal allegedly for the star wars 502 00:27:18,640 --> 00:27:22,600 Speaker 1: Starbucks lawyers, and you know, for whatever their official explanation 503 00:27:22,840 --> 00:27:24,879 Speaker 1: for all of this, they say it's official company policy 504 00:27:25,000 --> 00:27:27,600 Speaker 1: just for the record, But put that in the context 505 00:27:27,640 --> 00:27:28,879 Speaker 1: of where we are right now, and this is what 506 00:27:28,920 --> 00:27:31,159 Speaker 1: we've been trying to keep our eye on. The biggest 507 00:27:31,160 --> 00:27:34,360 Speaker 1: story in the country. Is millions of people quitting their 508 00:27:34,440 --> 00:27:38,200 Speaker 1: jobs getting higher wages. You know, many tens of thousands 509 00:27:38,200 --> 00:27:40,919 Speaker 1: at John Deere and many Kellogg all their places coming 510 00:27:40,920 --> 00:27:44,760 Speaker 1: together and demanding better working conditions after a huge moment 511 00:27:44,800 --> 00:27:48,240 Speaker 1: of sacrifice in the economy. And you put all of 512 00:27:48,240 --> 00:27:51,760 Speaker 1: that together and you really do see a stunning but 513 00:27:52,040 --> 00:27:56,560 Speaker 1: I think a stunning disconnect in terms of where national 514 00:27:56,640 --> 00:27:59,320 Speaker 1: attention and focus is and where it should be. And 515 00:27:59,400 --> 00:28:01,800 Speaker 1: it's because of the class bias that we see in 516 00:28:01,840 --> 00:28:03,879 Speaker 1: so much of our media. Like I said, I mean, 517 00:28:03,920 --> 00:28:05,959 Speaker 1: I jokingly was telling you all this, but the Sunday 518 00:28:05,960 --> 00:28:08,720 Speaker 1: New York Times was literally about January six was about 519 00:28:08,760 --> 00:28:12,400 Speaker 1: recreating January sixth and pointing to the seven people who 520 00:28:12,400 --> 00:28:15,240 Speaker 1: are most you know, responsible, And I'm like, do people 521 00:28:15,359 --> 00:28:18,320 Speaker 1: truly have nothing better to do to elevate to the 522 00:28:18,400 --> 00:28:21,200 Speaker 1: highest consciousness? Look? To be fair, we are. This is 523 00:28:21,240 --> 00:28:23,439 Speaker 1: a New York Times story. I'm not saying that it 524 00:28:23,560 --> 00:28:26,639 Speaker 1: isn't covered in any way. But ask yourself what's on 525 00:28:26,720 --> 00:28:30,520 Speaker 1: cable news. Ask yourself what is really having momentous attention. 526 00:28:30,800 --> 00:28:33,800 Speaker 1: And it's because there's not a big there's no Trump 527 00:28:33,840 --> 00:28:37,920 Speaker 1: angle here, there's no like Republicans bad, Democrats good or 528 00:28:38,040 --> 00:28:41,680 Speaker 1: like you know, Joe Manchin, Bernie Sanders or whatever. It's 529 00:28:41,880 --> 00:28:45,520 Speaker 1: just just people who are trying to get a better wage. 530 00:28:45,920 --> 00:28:49,560 Speaker 1: And the absolute lengths a political lengths, right. I mean, 531 00:28:49,560 --> 00:28:52,120 Speaker 1: remember this is Howard Schultz, these you know, big time 532 00:28:52,240 --> 00:28:55,560 Speaker 1: Democrat and all of that big founder they have Black 533 00:28:55,600 --> 00:28:57,680 Speaker 1: Lives Matter all over the stores, all that stuff. I'd 534 00:28:57,720 --> 00:28:58,880 Speaker 1: love to know, by the way, how many of these 535 00:28:58,880 --> 00:29:01,640 Speaker 1: workers are actually black, given what we know about Buffalo, 536 00:29:01,680 --> 00:29:04,560 Speaker 1: New York. And of course they're willing to, you know, 537 00:29:04,640 --> 00:29:06,880 Speaker 1: take out all the stops there, so it stops right 538 00:29:06,920 --> 00:29:09,360 Speaker 1: there whenever it comes to wages end. But I think 539 00:29:09,400 --> 00:29:13,320 Speaker 1: it's amazing when you see that class bias really penetrate, 540 00:29:13,400 --> 00:29:15,680 Speaker 1: and we just see each one of these data points 541 00:29:15,920 --> 00:29:18,200 Speaker 1: bubble up all across the country, and it really does 542 00:29:18,240 --> 00:29:20,760 Speaker 1: take almost a John Deere level one to even get 543 00:29:20,760 --> 00:29:23,440 Speaker 1: the media to pay the tiniest little bit of attention, 544 00:29:23,560 --> 00:29:26,680 Speaker 1: Like it takes ten thousand workers at John Deere. But 545 00:29:26,800 --> 00:29:30,520 Speaker 1: this is happening everywhere, I mean, and Starbucks throwing everything 546 00:29:30,560 --> 00:29:33,040 Speaker 1: at it. We saw the roots of that in Amazon, 547 00:29:33,080 --> 00:29:35,680 Speaker 1: and I think this is going to be a continuing 548 00:29:35,760 --> 00:29:37,920 Speaker 1: through line for the next couple of months, more and 549 00:29:37,920 --> 00:29:40,440 Speaker 1: more people are going to think about trying to unionize. 550 00:29:40,440 --> 00:29:43,120 Speaker 1: And the companies themselves, they're richer than ever. Crystal they 551 00:29:43,160 --> 00:29:45,560 Speaker 1: made more money than ever in twenty twenty because of 552 00:29:45,600 --> 00:29:48,040 Speaker 1: the pandemic, which the unions tell us all the time, 553 00:29:48,200 --> 00:29:50,000 Speaker 1: and they're going to use that money in order to 554 00:29:50,000 --> 00:29:52,640 Speaker 1: try and crack down on what's happening. Yes, And I mean, 555 00:29:52,760 --> 00:29:55,600 Speaker 1: on the other hand, you can tell that Starbucks sees 556 00:29:55,640 --> 00:29:57,400 Speaker 1: this as a real threat, and that in and of 557 00:29:57,440 --> 00:30:00,400 Speaker 1: itself is encouraging, just as Amazon saw the best of 558 00:30:00,440 --> 00:30:04,720 Speaker 1: our effort as a real threat. And so they do 559 00:30:05,160 --> 00:30:08,320 Speaker 1: fear that if one of these shops were to sneak through, 560 00:30:08,720 --> 00:30:11,000 Speaker 1: it could start a domino effect. And I don't think 561 00:30:11,000 --> 00:30:14,160 Speaker 1: they're wrong to fear that. On the media point, it's 562 00:30:14,200 --> 00:30:18,200 Speaker 1: not just that there isn't like Trump versus Biden angle 563 00:30:18,240 --> 00:30:21,520 Speaker 1: here to be had. It's also that the whole idea 564 00:30:22,080 --> 00:30:26,160 Speaker 1: of a cross partisan, multi racial working class working together 565 00:30:26,240 --> 00:30:29,320 Speaker 1: in solidarity goes against the entire narrative that they've been 566 00:30:29,320 --> 00:30:32,360 Speaker 1: selling the country for years now. Is very inconvenient. We're 567 00:30:32,360 --> 00:30:34,680 Speaker 1: supposed to hate each other, right, We're supposed to be 568 00:30:34,840 --> 00:30:38,400 Speaker 1: inches away from a civil war. We're supposed to believe 569 00:30:38,880 --> 00:30:42,720 Speaker 1: that our greatest enemy is you know, the person who 570 00:30:42,920 --> 00:30:46,000 Speaker 1: thinks differently about politics or comes from a different cultural 571 00:30:46,040 --> 00:30:49,280 Speaker 1: background or whatever it is. That's who's supposed to be 572 00:30:49,320 --> 00:30:52,400 Speaker 1: the real enemy. So when you see these workers, and 573 00:30:52,800 --> 00:30:54,400 Speaker 1: as I mentioned before, we're going to talk to a 574 00:30:54,600 --> 00:30:57,320 Speaker 1: local president with John Deere about what's going on there. 575 00:30:57,360 --> 00:30:59,800 Speaker 1: But you know, you see these workers not just fighting 576 00:30:59,800 --> 00:31:03,320 Speaker 1: for them themselves, but a lot of the core of 577 00:31:03,400 --> 00:31:06,560 Speaker 1: the strikes right now are about a two tier wage system. 578 00:31:06,920 --> 00:31:10,720 Speaker 1: So you've got older workers who are good, they're doing 579 00:31:10,800 --> 00:31:13,920 Speaker 1: pretty well, they've got a pretty good contract, and they're 580 00:31:13,920 --> 00:31:17,120 Speaker 1: fighting for their brother and sister coming down the line 581 00:31:17,480 --> 00:31:20,120 Speaker 1: who's coming up with a much worse deal. And they're saying, 582 00:31:20,200 --> 00:31:22,200 Speaker 1: this is about me fighting for our future. It's not 583 00:31:22,240 --> 00:31:26,920 Speaker 1: even about myself. That sort of solidarity and collective action 584 00:31:27,320 --> 00:31:29,920 Speaker 1: is not supposed to be a thing in America today, 585 00:31:30,040 --> 00:31:33,400 Speaker 1: if you believe the lens in the prism through which 586 00:31:33,400 --> 00:31:35,920 Speaker 1: the media presents everything, where it's all about, you know, 587 00:31:36,440 --> 00:31:40,320 Speaker 1: outrage over masks or not masks, or vaccine or not 588 00:31:40,480 --> 00:31:44,040 Speaker 1: vaccine those or Trump or not Trump. I mean, that's 589 00:31:44,040 --> 00:31:46,360 Speaker 1: all the ultimate fault line in all of this, so 590 00:31:46,640 --> 00:31:48,600 Speaker 1: to see this type of action, while it just doesn't 591 00:31:48,600 --> 00:31:52,120 Speaker 1: fit with their narrative, Starbucks is not the only big 592 00:31:52,160 --> 00:31:54,800 Speaker 1: corporation who's out there union busting. I can bring you 593 00:31:54,840 --> 00:31:58,400 Speaker 1: another update on Dollar General. This one's pretty interesting too. 594 00:31:58,880 --> 00:32:01,960 Speaker 1: Let's throw this more perfect union had this scoop. Guys, 595 00:32:01,960 --> 00:32:04,480 Speaker 1: they're doing such good work over there. Make sure you 596 00:32:04,520 --> 00:32:06,479 Speaker 1: follow them if you can support the work that they're doing, 597 00:32:06,520 --> 00:32:08,840 Speaker 1: because they've really been highlighting these union struggles in an 598 00:32:08,840 --> 00:32:12,960 Speaker 1: effective way, they say Scoop. Dollar General was caught illegally 599 00:32:12,960 --> 00:32:16,160 Speaker 1: intimidating workers just days before a store in Connecticut is 600 00:32:16,200 --> 00:32:19,080 Speaker 1: set to vote on whether to form the company's first 601 00:32:19,160 --> 00:32:23,200 Speaker 1: ever US union district. Managers visited the store on Saturday 602 00:32:23,240 --> 00:32:27,840 Speaker 1: and threatened to close it if workers voted yes. I mean, 603 00:32:27,880 --> 00:32:34,560 Speaker 1: that is blatantly textbook illegal worker intimidation tactics. It happens 604 00:32:34,560 --> 00:32:37,400 Speaker 1: all the time, mind you, it happens all the time. 605 00:32:37,680 --> 00:32:40,800 Speaker 1: Whether it's as explicit as this reportedly is that they 606 00:32:40,840 --> 00:32:42,760 Speaker 1: just came in and were like, you know, you vote 607 00:32:42,760 --> 00:32:44,520 Speaker 1: for a union, the store is getting shut down, You're 608 00:32:44,560 --> 00:32:46,520 Speaker 1: not going to have a job anymore, or whether it's 609 00:32:46,560 --> 00:32:51,040 Speaker 1: more subtle. I remember during the VW organizing in Tennessee, 610 00:32:51,400 --> 00:32:54,280 Speaker 1: there were politicians who were suggesting, hey, you know, they 611 00:32:54,320 --> 00:32:57,640 Speaker 1: may just not have the jobs here for you going 612 00:32:57,680 --> 00:33:00,360 Speaker 1: forward if you vote to unionize, even though Volkswagen themselves 613 00:33:00,360 --> 00:33:02,480 Speaker 1: were actually in favor of the union. So you see 614 00:33:02,480 --> 00:33:07,200 Speaker 1: this happen all the time. It's also worth noting more 615 00:33:07,200 --> 00:33:10,800 Speaker 1: Perfect Union says that the union involved here UFCW, they'll 616 00:33:10,800 --> 00:33:14,320 Speaker 1: fight file charges with the NLRB against Dollar General for 617 00:33:14,480 --> 00:33:17,400 Speaker 1: those union busting activities the voter schedule for this Friday. 618 00:33:17,880 --> 00:33:22,160 Speaker 1: And part of the context here is Dollar General actually 619 00:33:22,200 --> 00:33:27,360 Speaker 1: pays the lowest wages of any retailer, and workers who 620 00:33:27,360 --> 00:33:29,760 Speaker 1: have been talking to more Perfect Union and other outlets 621 00:33:30,080 --> 00:33:33,520 Speaker 1: say that they have also been dramatically understaffed, especially during 622 00:33:33,520 --> 00:33:37,320 Speaker 1: the pandemic. And you know, we've been covering like customers 623 00:33:37,360 --> 00:33:40,920 Speaker 1: coming in very upset and ordering stressed down, and workers 624 00:33:40,920 --> 00:33:42,680 Speaker 1: have felt their lives to be at risk. Police have 625 00:33:42,720 --> 00:33:44,680 Speaker 1: had to be called in for all kinds of incidents. 626 00:33:45,160 --> 00:33:51,280 Speaker 1: So it's about low wages, long hours, no leave, and 627 00:33:51,520 --> 00:33:54,280 Speaker 1: people feeling like their physical safety is at risk because 628 00:33:54,360 --> 00:33:57,960 Speaker 1: they're it's basically they're alone in the store having handled 629 00:33:58,000 --> 00:34:00,840 Speaker 1: whatever ultimately comes to them. So that's why they're trying 630 00:34:00,880 --> 00:34:03,959 Speaker 1: to unionize the Dollar General, going above and beyond again 631 00:34:04,320 --> 00:34:07,920 Speaker 1: with illegal, allegedly illegal tactics to try to intimidate these 632 00:34:07,960 --> 00:34:11,040 Speaker 1: workers and make sure it doesn't happen. Yeah, like we said, 633 00:34:11,120 --> 00:34:13,400 Speaker 1: it's going to continue happening. And you look at Dollar 634 00:34:13,440 --> 00:34:16,239 Speaker 1: General and even you know, the impetus for the unionization, 635 00:34:16,280 --> 00:34:18,600 Speaker 1: according to one of the employees who spoke with the 636 00:34:19,040 --> 00:34:22,560 Speaker 1: within these times, was that they were being treated terribly 637 00:34:22,640 --> 00:34:26,279 Speaker 1: and that the district manager allegedly ignored a complaint of 638 00:34:26,320 --> 00:34:29,560 Speaker 1: sexual harassment and was heard making racement remarks. And then 639 00:34:29,600 --> 00:34:32,960 Speaker 1: the district manager unfairly accused a manager of stealing, and 640 00:34:33,000 --> 00:34:35,200 Speaker 1: they all got scared because they were like, they can 641 00:34:35,239 --> 00:34:37,600 Speaker 1: do this to us. They have this amount of control 642 00:34:37,640 --> 00:34:39,759 Speaker 1: of our lives. And if you've been in a rural 643 00:34:39,760 --> 00:34:42,040 Speaker 1: part of the country, sometimes Dollar General is the only 644 00:34:42,080 --> 00:34:44,040 Speaker 1: game in town, and a lot of people have to 645 00:34:44,120 --> 00:34:46,239 Speaker 1: drive like twenty thirty miles just to like go to 646 00:34:46,320 --> 00:34:49,680 Speaker 1: a Walmart in order to try and buy general necessities, 647 00:34:49,760 --> 00:34:52,239 Speaker 1: let alone groceries, which is a big problem for a 648 00:34:52,239 --> 00:34:54,800 Speaker 1: lot of people. So Dollar General and the Dollar Store, 649 00:34:54,840 --> 00:34:56,960 Speaker 1: you know, these various types, they have a lot of 650 00:34:56,960 --> 00:35:02,040 Speaker 1: power in these rural communities and advising power for wages 651 00:35:02,080 --> 00:35:05,040 Speaker 1: they can pay nothing. This is an Amazon story which 652 00:35:05,040 --> 00:35:07,680 Speaker 1: we're about to get to as well, so it's incredibly 653 00:35:07,680 --> 00:35:09,440 Speaker 1: important that we track it. Yeah, they have an incredibly 654 00:35:09,480 --> 00:35:13,040 Speaker 1: predatory model. I mean, that's the bottom line. They thrive 655 00:35:13,440 --> 00:35:17,080 Speaker 1: when economic times are difficult, when the working class is struggling. 656 00:35:17,440 --> 00:35:19,720 Speaker 1: And I think the stat I saw is that seventy 657 00:35:19,800 --> 00:35:22,480 Speaker 1: five percent of the population lives within five miles of 658 00:35:22,480 --> 00:35:26,080 Speaker 1: a dollar general. They're everywhere, and you know, I live 659 00:35:26,120 --> 00:35:28,319 Speaker 1: in a rural community. We've got one few miles away 660 00:35:28,320 --> 00:35:33,040 Speaker 1: from me. They're ubiquitous, and yet they're and highly profitable. 661 00:35:33,160 --> 00:35:36,520 Speaker 1: They did extremely well during the pandemic, record breaking profits 662 00:35:36,880 --> 00:35:40,920 Speaker 1: and yet lowest wages of any large retailer in the 663 00:35:41,040 --> 00:35:43,680 Speaker 1: entire country. So that's what those workers are fighting for, 664 00:35:43,880 --> 00:35:46,040 Speaker 1: that's right. Hey. So remember how we told you how 665 00:35:46,080 --> 00:35:49,080 Speaker 1: awesome premium membership was. Well, here we are again to 666 00:35:49,160 --> 00:35:51,920 Speaker 1: remind you that becoming a premium member means you don't 667 00:35:51,960 --> 00:35:55,239 Speaker 1: have to listen to our constant pleas for you to subscribe. 668 00:35:55,480 --> 00:35:57,680 Speaker 1: So what are you waiting for? Become a premium member 669 00:35:57,680 --> 00:36:00,239 Speaker 1: today by going to breakingpoints dot com, which you can 670 00:36:00,239 --> 00:36:04,960 Speaker 1: click on in the show notes. Speaking of corporate malfeasance Amazon, 671 00:36:06,920 --> 00:36:10,359 Speaker 1: This is pretty fascinating. So members of Congress at least 672 00:36:10,440 --> 00:36:13,279 Speaker 1: signaling that they might get a little bit tough on 673 00:36:13,680 --> 00:36:18,239 Speaker 1: Amazon after it looks from new reporting that executives there 674 00:36:18,400 --> 00:36:21,720 Speaker 1: up to and including Jeff Bezos, may have at least 675 00:36:21,800 --> 00:36:26,400 Speaker 1: misled and possibly blatantly lied to members of Congress in 676 00:36:26,520 --> 00:36:30,040 Speaker 1: testimony about their anti competitive practices. Let's throw this tear 677 00:36:30,040 --> 00:36:32,879 Speaker 1: sheet up on the screen. This is from the Wall 678 00:36:32,880 --> 00:36:35,840 Speaker 1: Street Journal. The headline here, members of Congressional Committee question 679 00:36:36,360 --> 00:36:39,760 Speaker 1: whether Amazon executives misled Congress in a letter by Parson, 680 00:36:39,840 --> 00:36:43,879 Speaker 1: Group of reps ask for documents and exculpatory evidence as 681 00:36:43,920 --> 00:36:48,760 Speaker 1: they consider whether to recommend a Justice Department criminal referral 682 00:36:48,840 --> 00:36:54,440 Speaker 1: for an investigation. So these members of Congress again, some Republicans, 683 00:36:54,440 --> 00:36:57,960 Speaker 1: some Democrats. You had Primilogi, Apologerry Nadler, David Cislinios had 684 00:36:58,000 --> 00:37:01,120 Speaker 1: Ken Buck, you had Matt Gates. They sent this letter 685 00:37:01,160 --> 00:37:04,320 Speaker 1: that Wall Street Journal got their hands on, saying to Amazon, 686 00:37:04,480 --> 00:37:08,440 Speaker 1: you better show us some evidence, some exculpatory evidence, proving 687 00:37:08,440 --> 00:37:12,400 Speaker 1: that you weren't lying to us about using third party 688 00:37:12,480 --> 00:37:16,560 Speaker 1: seller data to create your own products. So what they're 689 00:37:16,719 --> 00:37:19,480 Speaker 1: what they're doing, according reports, is they'll see what's performing 690 00:37:19,520 --> 00:37:23,759 Speaker 1: well on their platform. They'll grab all that data, take 691 00:37:23,800 --> 00:37:26,120 Speaker 1: all that data from those sellers, all of the product 692 00:37:26,160 --> 00:37:30,759 Speaker 1: specifications down to measurements of shirts, I mean absolute specifics. 693 00:37:31,200 --> 00:37:34,680 Speaker 1: They'll use that to create their own knockoff product. And then, 694 00:37:34,719 --> 00:37:38,799 Speaker 1: as if that wasn't enough theft, then they prioritize their 695 00:37:38,880 --> 00:37:44,440 Speaker 1: own product in the search results above the original maker 696 00:37:44,520 --> 00:37:46,800 Speaker 1: and product. And I'm sure a lot of you guys 697 00:37:46,920 --> 00:37:49,920 Speaker 1: use Amazon. This is the world we live in, and 698 00:37:49,960 --> 00:37:53,120 Speaker 1: you probably know when you search for something, probably you're 699 00:37:53,120 --> 00:37:56,760 Speaker 1: gonna select what's in the first one, two, three, five results. 700 00:37:56,920 --> 00:37:59,279 Speaker 1: On basics, it's always cheaper and it's always first. So 701 00:37:59,600 --> 00:38:03,120 Speaker 1: that's what they're doing. They are privileging their own products 702 00:38:03,280 --> 00:38:06,640 Speaker 1: which they ripped off from other makers in the search results. Again, 703 00:38:06,680 --> 00:38:09,120 Speaker 1: they deny this for the lawyers, allegedly, et cetera, et cetera, 704 00:38:09,400 --> 00:38:11,960 Speaker 1: but based on quite a lot of reporting at the 705 00:38:11,960 --> 00:38:14,719 Speaker 1: moment that I'll get into in a moment. So when 706 00:38:14,880 --> 00:38:19,320 Speaker 1: they were asked about this exact practice before members of Congress, 707 00:38:19,400 --> 00:38:22,399 Speaker 1: they said, no, no, no, we don't do any of that. 708 00:38:23,600 --> 00:38:28,200 Speaker 1: It's against company policy, and when Bezos specifically was asked, well, 709 00:38:28,200 --> 00:38:30,680 Speaker 1: do you know of incidents when it happens, he was like, 710 00:38:30,920 --> 00:38:32,520 Speaker 1: not that I'm aware. I don't know. I had to 711 00:38:32,560 --> 00:38:34,279 Speaker 1: get back to you, not that I'm aware of So 712 00:38:34,440 --> 00:38:36,879 Speaker 1: clear dodge there. Let me give you a little bit 713 00:38:36,960 --> 00:38:40,960 Speaker 1: of what the letter actually says. So they asked the 714 00:38:40,960 --> 00:38:44,520 Speaker 1: company to providing sculpatory evidence to corroborate the sworn testimony 715 00:38:44,520 --> 00:38:49,360 Speaker 1: that several leaders provided. They say, we strongly encourage you 716 00:38:49,400 --> 00:38:52,120 Speaker 1: to make use of this opportunity to correct the record 717 00:38:52,160 --> 00:38:56,120 Speaker 1: and provide the committee with sworn, truthful and accurate responses 718 00:38:56,160 --> 00:38:59,520 Speaker 1: to this request as we consider whether a referral of 719 00:38:59,560 --> 00:39:02,759 Speaker 1: this matter to the Department of Justice for criminal investigation 720 00:39:03,360 --> 00:39:06,960 Speaker 1: is appropriate. So a pretty significant threat there. They were 721 00:39:07,000 --> 00:39:11,000 Speaker 1: all testifying under oath you can't lie. And this was 722 00:39:11,040 --> 00:39:13,960 Speaker 1: all sparked by Reuter's report. While Street Journal had done 723 00:39:14,000 --> 00:39:16,799 Speaker 1: some reporting on this before, but a Reuter's report that 724 00:39:16,840 --> 00:39:18,200 Speaker 1: I believe we can have we can throw this tear 725 00:39:18,280 --> 00:39:21,160 Speaker 1: sheet up on the screen. They got their hands on 726 00:39:21,280 --> 00:39:27,240 Speaker 1: thousands of pages of internal Amazon documents saying not only 727 00:39:27,400 --> 00:39:31,000 Speaker 1: was this like something that happened occasionally, this is standard 728 00:39:31,040 --> 00:39:37,680 Speaker 1: operating procedure. In particular, they got into the Indian market 729 00:39:38,040 --> 00:39:40,960 Speaker 1: and looked at the way that Amazon operated there. And 730 00:39:41,000 --> 00:39:43,120 Speaker 1: just to give you one example of how this worked, 731 00:39:43,560 --> 00:39:47,279 Speaker 1: there's a shirt called a John Miller's shirt that was 732 00:39:47,320 --> 00:39:50,520 Speaker 1: for sale. It was very popular. Amazon decided to follow 733 00:39:50,560 --> 00:39:54,440 Speaker 1: their measurements down to the centimeter to replicate these shirts 734 00:39:54,480 --> 00:39:57,799 Speaker 1: and privilege them. And of course they're sort you know, 735 00:39:57,960 --> 00:40:00,120 Speaker 1: their products have taken off and done extraordinarily well well. 736 00:40:00,320 --> 00:40:04,360 Speaker 1: And this behavior, this anti competitive behavior, has greatly disadvantaged pedal. 737 00:40:04,400 --> 00:40:06,799 Speaker 1: I want to explain to people because people have been like, yeah, 738 00:40:06,840 --> 00:40:10,320 Speaker 1: but you know Walmart has private label, Target has private label. 739 00:40:10,320 --> 00:40:13,680 Speaker 1: Here's the difference. Amazon is both the platform and the retailer. 740 00:40:13,760 --> 00:40:16,640 Speaker 1: And that's the briggest problem, which is that Amazon is 741 00:40:16,680 --> 00:40:19,759 Speaker 1: the single platform on which these businesses exist. They actually 742 00:40:19,800 --> 00:40:23,320 Speaker 1: don't really have another option in order to sell their stuff. 743 00:40:23,560 --> 00:40:27,600 Speaker 1: So whenever you're both the platform aka the marketplace, and 744 00:40:27,960 --> 00:40:31,960 Speaker 1: you're the seller and you have the ability to de 745 00:40:32,239 --> 00:40:35,760 Speaker 1: rank somebody in the algorithm and put your stuff ahead, 746 00:40:35,960 --> 00:40:37,600 Speaker 1: I mean, look, if you go to Walmart, yeah, you 747 00:40:37,600 --> 00:40:39,200 Speaker 1: may be able to put something down on the shelf, 748 00:40:39,320 --> 00:40:41,319 Speaker 1: but you can still see it if you're not on 749 00:40:41,360 --> 00:40:43,920 Speaker 1: the page. You literally can't see it. I mean technically 750 00:40:43,960 --> 00:40:46,920 Speaker 1: you could click over. And also, fifty something percent of 751 00:40:46,960 --> 00:40:49,600 Speaker 1: online retail sales in the United States were made by Amazon, 752 00:40:49,680 --> 00:40:52,640 Speaker 1: I mean on Amazon. So you put market power together. 753 00:40:53,000 --> 00:40:56,560 Speaker 1: The differentiator of the Internet, the fact that there is 754 00:40:56,640 --> 00:41:01,760 Speaker 1: both the marketplace and the actual retailer itself. Size in particular, 755 00:41:01,800 --> 00:41:04,880 Speaker 1: I think, is what makes this the most big and 756 00:41:04,960 --> 00:41:08,600 Speaker 1: glaring problem. And look, Amazon knows this. That's why they 757 00:41:08,640 --> 00:41:11,799 Speaker 1: say it's against their company policy because they know it's 758 00:41:11,800 --> 00:41:14,799 Speaker 1: a bad look. Yeah, they specifically know that the marketplace 759 00:41:15,120 --> 00:41:17,160 Speaker 1: is their biggest seller for all of this. That's how 760 00:41:17,200 --> 00:41:20,319 Speaker 1: they make so much of their money. Also, Walmart and 761 00:41:20,400 --> 00:41:22,160 Speaker 1: all these other companies don't even have close to the 762 00:41:22,239 --> 00:41:25,279 Speaker 1: level of the third party data that you would have. 763 00:41:25,400 --> 00:41:28,440 Speaker 1: So this is why technology is just functionally different than 764 00:41:28,480 --> 00:41:31,000 Speaker 1: like a Target, a Walmart, or you know, like a 765 00:41:31,040 --> 00:41:34,400 Speaker 1: grocery store, Kroger GB or something. They go in and 766 00:41:34,440 --> 00:41:38,319 Speaker 1: they look at all the customer reviews exactly right, they 767 00:41:38,320 --> 00:41:40,439 Speaker 1: look at how many returns are going to be made. 768 00:41:40,840 --> 00:41:44,400 Speaker 1: They're able to evaluate the specifics of this data across 769 00:41:44,480 --> 00:41:47,720 Speaker 1: you know, every brand and every version of shirt. For example, 770 00:41:47,760 --> 00:41:51,160 Speaker 1: that's being sold on their platform, and then they're able 771 00:41:51,200 --> 00:41:52,920 Speaker 1: to say, Okay, this is the one that gets the 772 00:41:52,920 --> 00:41:56,359 Speaker 1: best reviews, this is the measurements, this is what it 773 00:41:56,400 --> 00:41:59,719 Speaker 1: looks like. And there have been retailers before. I think 774 00:41:59,719 --> 00:42:02,239 Speaker 1: it was it was Williamson Nomer. It was like a 775 00:42:02,280 --> 00:42:07,239 Speaker 1: home furnishing company that took Amazon to court over just 776 00:42:07,280 --> 00:42:11,360 Speaker 1: blatantly knocking off their products. Was settled. Ultimately. There's a 777 00:42:11,400 --> 00:42:14,920 Speaker 1: shoe company called All Birds that also has called them 778 00:42:14,920 --> 00:42:19,520 Speaker 1: out for just blatantly replicating their like wool sneaker that 779 00:42:19,600 --> 00:42:23,040 Speaker 1: they sell. So this has been known for a long time, 780 00:42:23,280 --> 00:42:26,360 Speaker 1: but executives have consistently either directly lied about it or 781 00:42:26,400 --> 00:42:29,040 Speaker 1: pretended that they didn't know what was going on. I've 782 00:42:29,080 --> 00:42:31,960 Speaker 1: got a little montage of them denying that they have 783 00:42:32,000 --> 00:42:34,560 Speaker 1: any idea what's actually happening at their company. Let's take 784 00:42:34,560 --> 00:42:36,840 Speaker 1: a listen to that. Let me get back to your office, 785 00:42:36,960 --> 00:42:39,600 Speaker 1: happy to get back with your office. Happy to get 786 00:42:39,640 --> 00:42:41,520 Speaker 1: back to your office with an answer to that question. 787 00:42:41,719 --> 00:42:44,120 Speaker 1: I don't know, I don't know. I don't know. I 788 00:42:44,120 --> 00:42:46,239 Speaker 1: don't know the answer the direct answer to your question. 789 00:42:46,280 --> 00:42:48,719 Speaker 1: I don't know the answer to that question. I don't 790 00:42:48,760 --> 00:42:50,200 Speaker 1: know the answer to your question, do you know if 791 00:42:50,239 --> 00:42:53,080 Speaker 1: they were designated as essential? I do not. I don't know. 792 00:42:53,200 --> 00:42:55,640 Speaker 1: I don't know about that. I can't save the email, 793 00:42:55,760 --> 00:42:57,920 Speaker 1: and so I don't know the context. I don't know 794 00:42:57,920 --> 00:43:00,520 Speaker 1: the specifics of that situation. Not sure where you're referring to. 795 00:43:00,960 --> 00:43:03,120 Speaker 1: I can't answer that question yes or no. I don't 796 00:43:03,160 --> 00:43:08,319 Speaker 1: remember that at all. I cannot comment on that because 797 00:43:08,360 --> 00:43:12,000 Speaker 1: I don't remember it. So that was a smart guy 798 00:43:12,239 --> 00:43:14,400 Speaker 1: that would remember a lot of right fairness. That was 799 00:43:14,400 --> 00:43:17,719 Speaker 1: a bunch of different big tech CEOs, but Bezos prominently 800 00:43:17,760 --> 00:43:19,920 Speaker 1: featured there as having no idea what's going on in 801 00:43:19,920 --> 00:43:21,520 Speaker 1: his own company. And by the way, that was one 802 00:43:21,560 --> 00:43:24,200 Speaker 1: of the things from the Reuters report is that they 803 00:43:24,280 --> 00:43:28,279 Speaker 1: found in these internal documents that highest level executives in 804 00:43:28,280 --> 00:43:32,040 Speaker 1: India had been informed and involved in practice there. So 805 00:43:32,120 --> 00:43:33,840 Speaker 1: there you go, and the reason why let's put that 806 00:43:33,880 --> 00:43:36,760 Speaker 1: tear sheet up there. The reason why we cover Amazon 807 00:43:36,840 --> 00:43:39,880 Speaker 1: so much is around size. It is the second largest 808 00:43:39,960 --> 00:43:44,320 Speaker 1: private employer in the United States. Amazon they are looking 809 00:43:44,360 --> 00:43:48,240 Speaker 1: to hire one hundred and fifty thousand additional workers ahead 810 00:43:48,280 --> 00:43:50,960 Speaker 1: of the holiday season to keep up with demand. This 811 00:43:51,120 --> 00:43:54,200 Speaker 1: is generally standard practice, but it's more than one hundred 812 00:43:54,239 --> 00:43:57,880 Speaker 1: thousand than Amazon announced last year. So the size of 813 00:43:57,920 --> 00:44:01,439 Speaker 1: Amazon just continues to go up and up and up. 814 00:44:01,680 --> 00:44:03,959 Speaker 1: And whenever you start to go up that high, your 815 00:44:03,960 --> 00:44:08,000 Speaker 1: decisions around unions and wages and how you conduct business 816 00:44:08,320 --> 00:44:11,839 Speaker 1: and how you employ people, it matters because they are 817 00:44:11,880 --> 00:44:15,080 Speaker 1: slowly gobbling up the labor market of this entire country, 818 00:44:15,280 --> 00:44:17,759 Speaker 1: and they're very, very astute in what they do. The 819 00:44:17,800 --> 00:44:20,359 Speaker 1: announced yesterday, Oh we're gonna pay twenty one dollars an hour. 820 00:44:20,640 --> 00:44:22,759 Speaker 1: You're gonna have all this su and look great. I'm 821 00:44:22,760 --> 00:44:25,080 Speaker 1: glad you know they're paying twenty one dollars an hour. 822 00:44:25,160 --> 00:44:27,240 Speaker 1: But don't you dare form a union. Don't you dare 823 00:44:27,320 --> 00:44:30,480 Speaker 1: complain about your break time. Don't you dare, you know, 824 00:44:30,640 --> 00:44:34,840 Speaker 1: take a break whenever you're supposed to be walking thirteen steps. Also, 825 00:44:35,000 --> 00:44:37,800 Speaker 1: all your data that's available for us, your steps, everything 826 00:44:37,840 --> 00:44:41,280 Speaker 1: is tracked. Oh, delivery wasn't on time. Screw you, you're fired. 827 00:44:41,360 --> 00:44:43,840 Speaker 1: I mean, it's just one of these things where with 828 00:44:44,000 --> 00:44:46,719 Speaker 1: the wage comes a lot of power. And when you 829 00:44:46,760 --> 00:44:48,879 Speaker 1: have that level of power and you're the only game 830 00:44:48,920 --> 00:44:51,280 Speaker 1: in town and a lot of these rural communities, twenty 831 00:44:51,320 --> 00:44:54,120 Speaker 1: one dollars an hour or the only option for somebody 832 00:44:54,120 --> 00:44:57,160 Speaker 1: who may be low scaled. Then you become of you know, 833 00:44:57,200 --> 00:45:00,279 Speaker 1: a central point of how you conduct business control the 834 00:45:00,280 --> 00:45:03,520 Speaker 1: lives of millions of people in America. That's why we 835 00:45:03,560 --> 00:45:05,680 Speaker 1: care so much. The fate of the working class should 836 00:45:05,719 --> 00:45:07,840 Speaker 1: not be in the hands and subject to the whims 837 00:45:07,840 --> 00:45:10,320 Speaker 1: of the benevolence of one billionaire. Yeah, that's right, or 838 00:45:10,320 --> 00:45:13,839 Speaker 1: even a few billionaires, and so okay, good, they get 839 00:45:13,840 --> 00:45:16,279 Speaker 1: a little raised. But the whole point, and what we 840 00:45:16,360 --> 00:45:18,759 Speaker 1: show you with these worker movements is workers should have 841 00:45:18,800 --> 00:45:22,440 Speaker 1: a direct say in the conditions of their employment. That's right. 842 00:45:22,440 --> 00:45:24,560 Speaker 1: There should be a push and pull here. It shouldn't 843 00:45:24,600 --> 00:45:27,720 Speaker 1: be all on one side. And that's what collective action 844 00:45:28,160 --> 00:45:31,520 Speaker 1: through a union or through other means. But union is 845 00:45:31,520 --> 00:45:34,680 Speaker 1: the most effective one we have. That gives the workers 846 00:45:34,680 --> 00:45:36,000 Speaker 1: a little bit of power and a little bit of 847 00:45:36,040 --> 00:45:38,480 Speaker 1: say where they can. Hey, if breaks are really important, 848 00:45:38,480 --> 00:45:41,160 Speaker 1: if a predictable schedules really important to them, they can 849 00:45:41,440 --> 00:45:44,279 Speaker 1: bargain for those items in their contract and not just 850 00:45:44,400 --> 00:45:47,080 Speaker 1: hope that Jeff Bezos is feeling generous today. Please don't 851 00:45:47,080 --> 00:45:50,400 Speaker 1: schedule me at close and open instead of you can't 852 00:45:50,600 --> 00:45:52,880 Speaker 1: schedule how many is people has that happened to and 853 00:45:52,920 --> 00:45:55,040 Speaker 1: knows how much it sucks when you don't have a 854 00:45:55,120 --> 00:45:57,359 Speaker 1: say over your labor conditions. That's what we really need 855 00:45:57,360 --> 00:46:00,719 Speaker 1: in America, right, Yes, that is exactly right. Okay. Big 856 00:46:00,760 --> 00:46:05,440 Speaker 1: media story here in d C was the sale of Politico, 857 00:46:05,800 --> 00:46:08,920 Speaker 1: the Ultimate, you know, tigerbeat on the Potomac. Some people 858 00:46:09,000 --> 00:46:16,239 Speaker 1: call it like DC Insider. That was perfect. That is 859 00:46:16,320 --> 00:46:18,319 Speaker 1: exactly what it is. I don't know who made that up. 860 00:46:18,360 --> 00:46:20,080 Speaker 1: I don't get credit for it, but anyway, that is 861 00:46:20,080 --> 00:46:22,920 Speaker 1: what it is. Tiger Beat on the Potomac. Politico sold 862 00:46:22,960 --> 00:46:26,640 Speaker 1: to a big German publisher called Axel Springer, and Axle 863 00:46:26,640 --> 00:46:29,239 Speaker 1: Springer already owns a lot of different properties, including what 864 00:46:29,360 --> 00:46:32,839 Speaker 1: used to be Business Insider and is now Insider. And 865 00:46:32,880 --> 00:46:36,600 Speaker 1: we're getting a look, I didn't realize this. They require 866 00:46:36,920 --> 00:46:42,320 Speaker 1: their German employees to actually sign a pledge that commits 867 00:46:42,400 --> 00:46:46,360 Speaker 1: them to a certain number of company principles. And we 868 00:46:46,360 --> 00:46:49,880 Speaker 1: can throw this tweet up there on the screen. Among 869 00:46:50,000 --> 00:46:54,560 Speaker 1: them support for Israel, for a United Europe, and a 870 00:46:54,680 --> 00:46:58,279 Speaker 1: free market economy. They say that is like a constitution 871 00:46:58,600 --> 00:47:02,120 Speaker 1: they apply to every employee of their company, and that 872 00:47:02,239 --> 00:47:07,960 Speaker 1: those who disagree with unconditional support for Israel, a United Europe, 873 00:47:08,000 --> 00:47:10,440 Speaker 1: and a free market economy, among a number of other things. 874 00:47:10,480 --> 00:47:13,760 Speaker 1: They also say basically like you have to support NATO 875 00:47:13,840 --> 00:47:18,239 Speaker 1: too effectively that those who disagree should not work for 876 00:47:18,360 --> 00:47:23,040 Speaker 1: Axel Springer. Then I also had the nerve the head 877 00:47:23,040 --> 00:47:25,320 Speaker 1: of this company to be like, you know, the problem 878 00:47:25,320 --> 00:47:29,399 Speaker 1: in America is this biased partisan journalism. It's like, really, wait, 879 00:47:29,600 --> 00:47:34,200 Speaker 1: what You're requiring your employees to pledge themselves to these 880 00:47:34,360 --> 00:47:38,480 Speaker 1: very specific and very fraught and very politically charged topics. 881 00:47:38,800 --> 00:47:40,320 Speaker 1: And then you have the nerve to be like, but 882 00:47:40,440 --> 00:47:45,239 Speaker 1: we're totally unbiased over here. It's it's out, it's insane, 883 00:47:45,360 --> 00:47:50,360 Speaker 1: it's outrageous. And you know, the American employees at Politico, 884 00:47:50,760 --> 00:47:53,080 Speaker 1: they're not going to be actually required to sign the 885 00:47:53,160 --> 00:47:56,160 Speaker 1: loyalty pledge that the German employees, probably because it would 886 00:47:56,160 --> 00:47:59,839 Speaker 1: be illegal under US law. Probably yeah, probably it would 887 00:48:00,000 --> 00:48:04,279 Speaker 1: at least be you know, hopefully frowned upon. But the 888 00:48:04,360 --> 00:48:08,640 Speaker 1: fact that you have political is extremely influential, extremely influential. 889 00:48:08,920 --> 00:48:11,839 Speaker 1: Their playbook that they put on every morning is you know, 890 00:48:11,920 --> 00:48:13,759 Speaker 1: the comings and goings of DC. I mean, it really 891 00:48:13,800 --> 00:48:16,040 Speaker 1: does help to set the agenda for the day in 892 00:48:16,080 --> 00:48:18,840 Speaker 1: this town and the way that people think about these issues, 893 00:48:18,880 --> 00:48:21,040 Speaker 1: and it's all oftentimes like brought to you by Chevron 894 00:48:21,120 --> 00:48:23,560 Speaker 1: or whatever, which is a whole other issue, but it's very, 895 00:48:23,640 --> 00:48:28,560 Speaker 1: very influential. And the fact that now their employees have 896 00:48:28,719 --> 00:48:33,560 Speaker 1: to be explicitly on board with this set of policies, 897 00:48:33,800 --> 00:48:38,000 Speaker 1: I mean, it creates a wildly apparent inherent bias in 898 00:48:38,160 --> 00:48:40,239 Speaker 1: what they're doing. I want people to understand that because 899 00:48:40,280 --> 00:48:42,319 Speaker 1: you may not have ever heard of Politico, but what 900 00:48:42,360 --> 00:48:46,480 Speaker 1: it is is essentially the trade journal of Washington d C. Right, 901 00:48:46,520 --> 00:48:48,960 Speaker 1: So they have that playbook email which goes out to 902 00:48:49,080 --> 00:48:51,200 Speaker 1: hundreds of thousands of people, usually people who are in 903 00:48:51,280 --> 00:48:53,840 Speaker 1: the business, lobbyist and more, and it kind of describes 904 00:48:53,880 --> 00:48:56,960 Speaker 1: like what lawmakers are saying about a particular bill, what 905 00:48:57,080 --> 00:48:59,719 Speaker 1: you know, outside interests. They also break good. There are 906 00:48:59,719 --> 00:49:02,319 Speaker 1: many many good reporters over there, many of whom we've 907 00:49:02,320 --> 00:49:04,520 Speaker 1: had on the show or use their reporting. So I 908 00:49:04,520 --> 00:49:07,600 Speaker 1: don't want to say Checkinger, we were there. A Thompson 909 00:49:07,640 --> 00:49:10,240 Speaker 1: does a good job, right. But it's important though, because 910 00:49:10,280 --> 00:49:13,400 Speaker 1: it is a disproportionate impact in the way that people 911 00:49:13,440 --> 00:49:17,960 Speaker 1: here think, as in what Politico reports or says or 912 00:49:17,960 --> 00:49:21,680 Speaker 1: puts in their newsletter about something can both be what's happening, 913 00:49:21,719 --> 00:49:24,279 Speaker 1: and it can also influence the events that are on 914 00:49:24,320 --> 00:49:26,640 Speaker 1: the ground. That's one of the pernicious things about media 915 00:49:26,960 --> 00:49:30,200 Speaker 1: in DC, especially insider media. So this is I would 916 00:49:30,239 --> 00:49:32,680 Speaker 1: say up there with Axios is one of the most 917 00:49:32,719 --> 00:49:37,120 Speaker 1: important brands in terms of how people in power actually think, 918 00:49:37,360 --> 00:49:40,520 Speaker 1: work and read every single day. That's why Axel Springer 919 00:49:40,760 --> 00:49:43,680 Speaker 1: is buying it for a billion dollars. Well, yeah, and 920 00:49:45,120 --> 00:49:47,440 Speaker 1: this is the next piece of the segment. Ben Smith 921 00:49:47,520 --> 00:49:50,000 Speaker 1: just had a column about some of the internal workings 922 00:49:50,040 --> 00:49:52,440 Speaker 1: of Axel Springer over at the New York Times, and 923 00:49:52,480 --> 00:49:55,160 Speaker 1: there's a lot in this that we can unpack. Can 924 00:49:55,160 --> 00:49:57,399 Speaker 1: throw this up on the screen. The headline is at 925 00:49:57,440 --> 00:50:00,799 Speaker 1: Axel Springer, Politico's new owner, allegations of x lies and 926 00:50:00,840 --> 00:50:03,719 Speaker 1: a secret payment. I'll get to all that part. But 927 00:50:03,800 --> 00:50:07,880 Speaker 1: you brought up Axios. Yes, reportedly they also wanted to 928 00:50:07,880 --> 00:50:12,680 Speaker 1: buy Axios. Axios was founded by someone who left Politicos. 929 00:50:12,719 --> 00:50:14,960 Speaker 1: There's a lot of bad blood there and what they 930 00:50:15,280 --> 00:50:20,000 Speaker 1: effectively pitched to Axios is we want you Jim Vandahai, 931 00:50:20,000 --> 00:50:21,760 Speaker 1: who is now the head of the Axios who left Politico. 932 00:50:21,800 --> 00:50:23,960 Speaker 1: We actually want you to run the joint entity. We're 933 00:50:23,960 --> 00:50:26,440 Speaker 1: going to buy both Axios and Politico put them together. 934 00:50:26,719 --> 00:50:29,040 Speaker 1: We want you to run the joint entity, but we 935 00:50:29,120 --> 00:50:31,239 Speaker 1: know the Politico people will be pissed off about it, 936 00:50:31,400 --> 00:50:34,040 Speaker 1: so we're not going to announce it until after the 937 00:50:34,040 --> 00:50:37,080 Speaker 1: Politico thing is a done deal and they can't back out. 938 00:50:37,480 --> 00:50:40,399 Speaker 1: And Vanda Hid, to his credit, reportedly was like, that's 939 00:50:40,400 --> 00:50:42,480 Speaker 1: screwed up and that's not what we want to how 940 00:50:42,480 --> 00:50:45,680 Speaker 1: we want to operate. So no, thank you. But that's 941 00:50:46,000 --> 00:50:47,719 Speaker 1: the way that they play in this industry. The other 942 00:50:47,880 --> 00:50:51,719 Speaker 1: the focus of this column is the fact that one 943 00:50:51,760 --> 00:50:55,919 Speaker 1: of their executives there was apparently sleeping with all kinds 944 00:50:55,920 --> 00:50:58,719 Speaker 1: of junior women and then he'd give them promotions that 945 00:50:58,719 --> 00:51:00,919 Speaker 1: they didn't really deserve, and then when he was done 946 00:51:00,960 --> 00:51:03,080 Speaker 1: with them, he would either fire them or sort of 947 00:51:03,160 --> 00:51:06,279 Speaker 1: kick them down back down in the organization. That this 948 00:51:06,520 --> 00:51:10,120 Speaker 1: was a routine pattern of behavior. That part of the 949 00:51:10,160 --> 00:51:12,600 Speaker 1: reason they actually did a whole investigation, but they didn't 950 00:51:12,680 --> 00:51:15,200 Speaker 1: reveal the results of what they found in that investigation. 951 00:51:15,239 --> 00:51:17,640 Speaker 1: They decided to keep them on board until yesterday when 952 00:51:17,640 --> 00:51:20,680 Speaker 1: they finally fired the s guy after Bensmith's column. But 953 00:51:21,239 --> 00:51:23,560 Speaker 1: part of why, going back to the whole we're not 954 00:51:23,640 --> 00:51:25,960 Speaker 1: part of the media thing. Part of why they kept 955 00:51:26,040 --> 00:51:29,200 Speaker 1: him on is because they liked his politics. Oh, the 956 00:51:29,239 --> 00:51:32,320 Speaker 1: head of the organization said, we have to be especially 957 00:51:32,400 --> 00:51:35,200 Speaker 1: careful because mister Reischult, I think, is how you say 958 00:51:35,200 --> 00:51:37,840 Speaker 1: his name, is the last and only journalist in Germany 959 00:51:37,840 --> 00:51:41,840 Speaker 1: who's still courageously rebelling against the new GDR authoritarian state. 960 00:51:43,000 --> 00:51:46,600 Speaker 1: Ben describes the GDR or Communist East Germany in this 961 00:51:46,680 --> 00:51:50,160 Speaker 1: context is a bit like woke mob. So they like 962 00:51:50,440 --> 00:51:52,520 Speaker 1: that part. On the other hand, I mean their politics 963 00:51:52,520 --> 00:51:54,799 Speaker 1: are a little bit interesting there. Mostly you describe them 964 00:51:54,840 --> 00:51:59,279 Speaker 1: as right wing mostly, but then they also they're also 965 00:51:59,360 --> 00:52:02,600 Speaker 1: sort of authority terran Like, let's throw this Glenn Greenwall 966 00:52:02,640 --> 00:52:04,200 Speaker 1: tweet up on the screen, this dude that just got 967 00:52:04,280 --> 00:52:08,000 Speaker 1: fired for his sexual harassment. You know, bad behavior at 968 00:52:08,040 --> 00:52:14,920 Speaker 1: the organization had aggressively gone after Glenn and Snowden and 969 00:52:15,040 --> 00:52:20,080 Speaker 1: Julian Assange saying that Glenn and Edward Stone have enabled 970 00:52:20,200 --> 00:52:26,000 Speaker 1: terrorists that Putin loves him. That they've enabled isis that 971 00:52:26,360 --> 00:52:31,719 Speaker 1: the Kremlin loves all the like standard stupid tropes. So 972 00:52:32,040 --> 00:52:34,960 Speaker 1: that's the other that's the other part of what's going 973 00:52:35,000 --> 00:52:38,160 Speaker 1: on with that hallmark German righteousness. Everybody in Europe knows 974 00:52:38,239 --> 00:52:41,960 Speaker 1: exactly what I'm talking about, And yeah, look, maybe it's 975 00:52:42,000 --> 00:52:44,640 Speaker 1: just me. I'm a little uncomfortable a bunch of German 976 00:52:44,680 --> 00:52:48,800 Speaker 1: billionaires controlling some of the most you know, important company 977 00:52:48,880 --> 00:52:51,680 Speaker 1: media entities in the United States. I would be maybe, 978 00:52:51,719 --> 00:52:54,880 Speaker 1: I guess I'd prefer our billionaires to do it. And 979 00:52:55,160 --> 00:53:00,160 Speaker 1: especially if these people are requiring like oaths of loyalty 980 00:53:00,320 --> 00:53:04,239 Speaker 1: to foreign countries also United Europe. So it means let's 981 00:53:04,280 --> 00:53:06,440 Speaker 1: really think about the implications of what that means. So 982 00:53:06,480 --> 00:53:08,880 Speaker 1: that means if you support Brexit, that you are somebody 983 00:53:08,880 --> 00:53:11,040 Speaker 1: who can't work at actional springs? Yes? Or on Israel? 984 00:53:11,160 --> 00:53:13,520 Speaker 1: Does it apply to BDS? That does that apply to 985 00:53:13,640 --> 00:53:16,759 Speaker 1: the territories? Which applies to b And see what I'm saying, So, 986 00:53:17,080 --> 00:53:21,080 Speaker 1: oh which border nineteen sixty seven or pre your post? Well, 987 00:53:21,120 --> 00:53:23,480 Speaker 1: if you're pre ninety sixty seven, does that count as 988 00:53:23,480 --> 00:53:25,800 Speaker 1: pro Israel? What if you believe in a two state solution. 989 00:53:26,600 --> 00:53:29,200 Speaker 1: What if you're wanting to free market principles, what does that? 990 00:53:29,239 --> 00:53:32,560 Speaker 1: What does that? Maxactly? Universal healthcare? What? What did they 991 00:53:32,600 --> 00:53:35,360 Speaker 1: have in Germany? But what about here? So is it 992 00:53:35,440 --> 00:53:39,319 Speaker 1: okay here, but not there. Once again, you shouldn't have 993 00:53:39,360 --> 00:53:42,839 Speaker 1: any of this. Whenever you are a media entity, and 994 00:53:43,080 --> 00:53:47,560 Speaker 1: especially whenever you control the opinions really and or one 995 00:53:47,560 --> 00:53:51,200 Speaker 1: of the biggest taste makers in the entire United States, 996 00:53:51,200 --> 00:53:54,040 Speaker 1: there should be a lot more outrage about this, and 997 00:53:54,080 --> 00:53:55,880 Speaker 1: there's not. And I think that's really what it is. 998 00:53:56,080 --> 00:53:59,200 Speaker 1: How much of this do you see CNN's Brian Stelter. 999 00:53:59,239 --> 00:54:01,239 Speaker 1: We're about to do a second about him. Maybe this 1000 00:54:01,280 --> 00:54:04,000 Speaker 1: would be a good segment to cover. Maybe well, I 1001 00:54:04,040 --> 00:54:06,960 Speaker 1: mean maybe the other we can transition to the segment, 1002 00:54:06,960 --> 00:54:09,200 Speaker 1: because part of this, too is there's a hypocrisy on 1003 00:54:09,360 --> 00:54:12,319 Speaker 1: you know, the people on the right who focus a 1004 00:54:12,320 --> 00:54:18,360 Speaker 1: lot on censorship, cancel culture, and media bias. But because 1005 00:54:18,400 --> 00:54:22,160 Speaker 1: this is about you know, largely principles that they're comfortable 1006 00:54:22,200 --> 00:54:25,880 Speaker 1: of free market, oh you know, un yielding support for Israel. 1007 00:54:26,840 --> 00:54:32,120 Speaker 1: This didn't a major DC outlet having an explicit and 1008 00:54:32,239 --> 00:54:36,200 Speaker 1: clear and stated bias and requiring their employees to be 1009 00:54:36,360 --> 00:54:40,680 Speaker 1: loyal to their biases. This somehow escaped their notice. Yeah, 1010 00:54:40,680 --> 00:54:43,600 Speaker 1: that's totally nuts. And let's go to see an ed 1011 00:54:43,680 --> 00:54:46,520 Speaker 1: Crystal because this is just some of the most stunning 1012 00:54:46,520 --> 00:54:48,759 Speaker 1: stuff that i've seen in a long time credit to 1013 00:54:48,800 --> 00:54:52,239 Speaker 1: Barry Weiss may have some differences of opinion there, but look, 1014 00:54:52,320 --> 00:54:55,320 Speaker 1: she did a great job whenever she went on CNN's 1015 00:54:55,320 --> 00:54:58,120 Speaker 1: Brian Stelter and really called him in the network out 1016 00:54:58,440 --> 00:55:02,640 Speaker 1: to his face and her own around the lab leak hypothesis, 1017 00:55:02,840 --> 00:55:05,520 Speaker 1: how the media covers up stories which are bad for 1018 00:55:05,600 --> 00:55:07,560 Speaker 1: the narratives that they don't like, and just really how 1019 00:55:07,560 --> 00:55:10,319 Speaker 1: irresponsible they are. Let's watch the entire thing in full. 1020 00:55:10,400 --> 00:55:13,120 Speaker 1: It really is worth watching. You're right, there are tens 1021 00:55:13,120 --> 00:55:15,359 Speaker 1: of millions of Americans who aren't on the hard left 1022 00:55:15,480 --> 00:55:18,520 Speaker 1: or the hard right who feel the world has gone mad. 1023 00:55:19,000 --> 00:55:21,960 Speaker 1: So in what ways has the world gone mad? Well, 1024 00:55:22,280 --> 00:55:25,759 Speaker 1: you know when you have the chief reporter on the 1025 00:55:25,760 --> 00:55:28,880 Speaker 1: beat of COVID for the New York Times talking about 1026 00:55:28,920 --> 00:55:31,680 Speaker 1: how questioning or pursuing the question of the lab leak 1027 00:55:31,840 --> 00:55:35,040 Speaker 1: is racist, The world has gone mad. When you're not 1028 00:55:35,239 --> 00:55:37,480 Speaker 1: able to say out loud and in public that there 1029 00:55:37,480 --> 00:55:40,879 Speaker 1: are differences between men and women. The world has gone mad. 1030 00:55:41,239 --> 00:55:44,920 Speaker 1: When we're not allowed to acknowledge that rioting is rioting 1031 00:55:45,000 --> 00:55:48,120 Speaker 1: and it is bad, and that silence is not violence 1032 00:55:48,160 --> 00:55:51,920 Speaker 1: but violence is violence. The world has gotten mad. When 1033 00:55:51,960 --> 00:55:54,920 Speaker 1: we're not able to say that Hunter Biden's laptop is 1034 00:55:54,960 --> 00:55:58,680 Speaker 1: a story worth pursuing. The world has gone mad when 1035 00:55:58,920 --> 00:56:02,799 Speaker 1: in the name of progress, young school children as young 1036 00:56:02,800 --> 00:56:06,880 Speaker 1: as kindergarten are being separated in public schools because of 1037 00:56:06,920 --> 00:56:10,400 Speaker 1: their race, and that is called progress rather than segregation, 1038 00:56:10,960 --> 00:56:14,400 Speaker 1: the world has gone mad. There are dozens of examples 1039 00:56:14,400 --> 00:56:16,719 Speaker 1: that I could share with you, and with you often 1040 00:56:17,200 --> 00:56:20,760 Speaker 1: you say Aloud knows this, and you say we're not allowed, 1041 00:56:20,840 --> 00:56:24,480 Speaker 1: were not a who's the people stopping the conversation? Who 1042 00:56:24,480 --> 00:56:30,839 Speaker 1: are they? People let work at networks, frankly like the 1043 00:56:30,840 --> 00:56:33,360 Speaker 1: one I'm speaking on right now, who try and claim 1044 00:56:33,480 --> 00:56:36,960 Speaker 1: that you know it was it was racist to investigate 1045 00:56:37,000 --> 00:56:40,759 Speaker 1: the lab leak theory. It was you said. But I'm 1046 00:56:40,760 --> 00:56:42,440 Speaker 1: just saying that when you say Aloud, I just think 1047 00:56:42,480 --> 00:56:44,359 Speaker 1: it's a provocative thing you say. You say, you say, 1048 00:56:44,360 --> 00:56:46,840 Speaker 1: we're not allowed to talk about these things, but they're 1049 00:56:46,960 --> 00:56:48,839 Speaker 1: all over the internet. I can google them and find 1050 00:56:48,880 --> 00:56:51,480 Speaker 1: them everywhere. I've heard about every story you mentioned, So 1051 00:56:51,560 --> 00:56:53,960 Speaker 1: I'm just suggesting, of course, people are allowed to cover 1052 00:56:54,040 --> 00:56:56,319 Speaker 1: whatever they want to cover, but you and I both know, 1053 00:56:56,600 --> 00:56:59,919 Speaker 1: and it would be delusional to claim otherwise that touch 1054 00:57:00,239 --> 00:57:03,640 Speaker 1: your finger to an increasing number of subjects that have 1055 00:57:03,719 --> 00:57:07,759 Speaker 1: been deemed third rail by the mainstream institutions and increasingly 1056 00:57:07,800 --> 00:57:11,320 Speaker 1: by some of the tech companies, will lead to reputational damage, 1057 00:57:11,680 --> 00:57:17,000 Speaker 1: perhaps you losing your job, your children sometimes being demonized 1058 00:57:17,000 --> 00:57:19,000 Speaker 1: as well. And so what happens is a kind of 1059 00:57:19,480 --> 00:57:22,760 Speaker 1: internal self censorship. This is something that I saw over 1060 00:57:22,840 --> 00:57:24,680 Speaker 1: and over again when I was at the New York Times. 1061 00:57:25,040 --> 00:57:30,680 Speaker 1: M look, that is so obvious and everything she's just said. 1062 00:57:31,000 --> 00:57:33,440 Speaker 1: I sometimes I don't know about Brian. I really don't, 1063 00:57:33,520 --> 00:57:36,919 Speaker 1: you know, we as a good reporter, And I think, yeah, 1064 00:57:36,960 --> 00:57:39,480 Speaker 1: maybe a glutton for punishment. It's like, you got to 1065 00:57:39,560 --> 00:57:43,000 Speaker 1: know better than to pretend you don't know exactly what 1066 00:57:43,040 --> 00:57:46,800 Speaker 1: she's talking about. And I also particularly hate whenever they 1067 00:57:46,840 --> 00:57:49,560 Speaker 1: do that trope of well, I've heard of every single 1068 00:57:49,560 --> 00:57:51,640 Speaker 1: one of the stories that you're talking about, Well have 1069 00:57:51,800 --> 00:57:54,560 Speaker 1: you ever covered it? Have you ever done a single seconment? 1070 00:57:54,800 --> 00:57:57,640 Speaker 1: Is your job, right? It's your job not only to 1071 00:57:57,680 --> 00:57:59,680 Speaker 1: cover these stories, but also is your job to know 1072 00:57:59,720 --> 00:58:03,320 Speaker 1: about them. So the fact that you like journalist who 1073 00:58:03,400 --> 00:58:06,440 Speaker 1: makes your living knowing about news stories, knows about them, 1074 00:58:06,480 --> 00:58:08,480 Speaker 1: doesn't mean that they've been you know, shared with the 1075 00:58:08,480 --> 00:58:12,360 Speaker 1: American public. Listen. My my issue with While it is 1076 00:58:12,440 --> 00:58:16,760 Speaker 1: satisfying to watch certain parts of that exchange, Barry Weiss 1077 00:58:16,840 --> 00:58:21,560 Speaker 1: is a very poor spokesperson for this view because she's 1078 00:58:21,600 --> 00:58:24,280 Speaker 1: not sure. She has a gigantic blind spot where these 1079 00:58:24,320 --> 00:58:26,960 Speaker 1: things are concerned as well. I mean, this actual Springer 1080 00:58:27,000 --> 00:58:30,440 Speaker 1: story we're just talking about, because it is, you know, 1081 00:58:30,560 --> 00:58:34,800 Speaker 1: something that she's comfortable with this type of censorship, You're not. 1082 00:58:35,040 --> 00:58:37,440 Speaker 1: I haven't heard a word from her, not on her substack, 1083 00:58:37,640 --> 00:58:40,680 Speaker 1: not on her Twitter feed. This is a may If 1084 00:58:40,760 --> 00:58:44,920 Speaker 1: you care about censorship and stories not getting covered, you 1085 00:58:44,960 --> 00:58:48,520 Speaker 1: should care a lot about that story. And this isn't 1086 00:58:48,520 --> 00:58:51,240 Speaker 1: a one off look. Anyone can miss any particular story. 1087 00:58:51,280 --> 00:58:54,000 Speaker 1: I'm sure I've missed instances of censorship that matter too, 1088 00:58:54,600 --> 00:58:59,919 Speaker 1: But she consistently only looks at those that fit her 1089 00:59:00,120 --> 00:59:03,520 Speaker 1: particular agenda. And I think anyone on the left or 1090 00:59:03,600 --> 00:59:06,160 Speaker 1: the right who is viewing the issue of quote unquote 1091 00:59:06,160 --> 00:59:10,880 Speaker 1: cancel culture and censorship and authoritarianism and creeping lack of 1092 00:59:10,960 --> 00:59:14,560 Speaker 1: ability to have free speech through a purely partisan right 1093 00:59:14,680 --> 00:59:18,680 Speaker 1: left lens, I think is missing the story entirely. So 1094 00:59:18,720 --> 00:59:23,520 Speaker 1: she doesn't bring up the state codified censorship of Republican 1095 00:59:23,600 --> 00:59:28,480 Speaker 1: past anti protest laws or anti BDS laws, or any 1096 00:59:28,640 --> 00:59:30,920 Speaker 1: of the folks who have spoken out on behalf of 1097 00:59:31,040 --> 00:59:34,280 Speaker 1: Palestinian human rights, who have been canceled or lost their 1098 00:59:34,360 --> 00:59:37,480 Speaker 1: jobs or be demonized, some of which she herself did 1099 00:59:37,880 --> 00:59:39,600 Speaker 1: when she was a college student. And look, I don't 1100 00:59:39,600 --> 00:59:41,480 Speaker 1: think people should be judged for their whole lives of 1101 00:59:41,520 --> 00:59:44,800 Speaker 1: what page or knowledge. But she's come out and said 1102 00:59:44,800 --> 00:59:48,440 Speaker 1: that she regrets, but you don't see her changing in 1103 00:59:48,520 --> 00:59:51,680 Speaker 1: terms of actually having a lens that's inclusive of all 1104 00:59:51,840 --> 00:59:55,640 Speaker 1: of the people and causes who are being censored right now. 1105 00:59:56,000 --> 00:59:59,400 Speaker 1: So that's why, while it is very satisfying to see 1106 00:59:59,400 --> 01:00:02,200 Speaker 1: Brian sel Stelter be told to his face at CNN sucks, 1107 01:00:02,240 --> 01:00:04,560 Speaker 1: I enjoyed that as well. That is why I think 1108 01:00:04,600 --> 01:00:07,800 Speaker 1: she's a very poor spokesperson for this, because she has 1109 01:00:07,960 --> 01:00:10,360 Speaker 1: just as many blind spots as Brian Stelter does. I 1110 01:00:10,880 --> 01:00:12,680 Speaker 1: think it's always fair in order to point that out 1111 01:00:12,720 --> 01:00:14,800 Speaker 1: around what people talk about cancel culture. You know, Ryan 1112 01:00:14,840 --> 01:00:17,440 Speaker 1: Grimm did a great segment yesterday. I saw about a 1113 01:00:17,760 --> 01:00:22,760 Speaker 1: campus what was it, a campus newspaper which was fired 1114 01:00:22,880 --> 01:00:26,400 Speaker 1: people from the pro unions O. They wrote an article 1115 01:00:27,120 --> 01:00:30,160 Speaker 1: there were workers who are trying to unionize. The student 1116 01:00:30,160 --> 01:00:33,080 Speaker 1: newspaper publish an article with quotes from those workers. The 1117 01:00:33,120 --> 01:00:36,560 Speaker 1: administration forced them to retract it and publish a new piece, 1118 01:00:36,920 --> 01:00:39,560 Speaker 1: and in place of those quotes with workers, they had 1119 01:00:39,680 --> 01:00:44,000 Speaker 1: anti union propaganda. Something tells me that I don't want 1120 01:00:44,000 --> 01:00:45,800 Speaker 1: to only pick on Barry here, but no one on 1121 01:00:45,840 --> 01:00:48,200 Speaker 1: the right. I shouldn't say no one few on the 1122 01:00:48,280 --> 01:00:50,280 Speaker 1: right are going to bring that back. I haven't seen it. 1123 01:00:50,440 --> 01:00:52,560 Speaker 1: I saw that story with great interest, and I think 1124 01:00:52,560 --> 01:00:54,880 Speaker 1: it's a very good, important one in order to point 1125 01:00:54,920 --> 01:00:58,000 Speaker 1: out because as we all know, there are endless amount 1126 01:00:58,040 --> 01:01:00,439 Speaker 1: of clicks and money to be had whenever we're talking 1127 01:01:00,480 --> 01:01:02,320 Speaker 1: about can't. By the way, I agree with pretty much 1128 01:01:02,360 --> 01:01:04,400 Speaker 1: every single thing that she said around all those issues, 1129 01:01:04,400 --> 01:01:06,440 Speaker 1: and I do think it is outrageous anytime one of 1130 01:01:06,480 --> 01:01:09,840 Speaker 1: those things does happen. And there's a lot of hay 1131 01:01:09,880 --> 01:01:11,360 Speaker 1: to be made around the culture war, and I think 1132 01:01:11,400 --> 01:01:13,360 Speaker 1: there's plenty of people who are fighting that, yes, but 1133 01:01:13,440 --> 01:01:15,520 Speaker 1: there's not a lot of people fighting the class war. 1134 01:01:15,880 --> 01:01:19,160 Speaker 1: And what did we point out today on the unionization 1135 01:01:19,280 --> 01:01:23,240 Speaker 1: segment on Starbucks? I mean, these guys Dollar General and 1136 01:01:23,280 --> 01:01:26,400 Speaker 1: Starbucks are throwing everything they have at making sure that 1137 01:01:26,480 --> 01:01:31,920 Speaker 1: they're working class employees in Buffalo, New York or Dollar General. 1138 01:01:31,960 --> 01:01:33,520 Speaker 1: I mean, have you ever been to a Dollar General 1139 01:01:33,560 --> 01:01:36,160 Speaker 1: in a rural place? Like? Sometimes these places are sad. 1140 01:01:36,200 --> 01:01:38,440 Speaker 1: And this is no commentary on the people within that. 1141 01:01:38,520 --> 01:01:41,240 Speaker 1: I don't blame them whatsoever. You'll see like a rotting 1142 01:01:41,280 --> 01:01:44,200 Speaker 1: piggly wiggly right next to it, right, or some other 1143 01:01:44,280 --> 01:01:46,520 Speaker 1: grocery store which has been closed for like ten years, 1144 01:01:46,720 --> 01:01:48,720 Speaker 1: and these people out there are fighting to like make 1145 01:01:48,760 --> 01:01:51,520 Speaker 1: more than like twelve dollars an hour so that they 1146 01:01:51,520 --> 01:01:54,400 Speaker 1: don't have credit card debt. Freedom of expression is being quashed. 1147 01:01:54,480 --> 01:01:57,280 Speaker 1: It is, yes, it is being quashed. And so yeah, 1148 01:01:57,320 --> 01:01:59,560 Speaker 1: you don't hear those concerns, and so listen, here's the 1149 01:01:59,560 --> 01:02:02,000 Speaker 1: thing is I actually care about this issue. That's why 1150 01:02:02,000 --> 01:02:04,160 Speaker 1: I try to you know, I'm sure I have my 1151 01:02:04,200 --> 01:02:06,360 Speaker 1: own blind spots, Lord knows, but I try to be 1152 01:02:06,400 --> 01:02:08,960 Speaker 1: fair about even in places where I disagree with the 1153 01:02:09,000 --> 01:02:11,720 Speaker 1: person saying, listen, they shouldn't be kicked off the platform. 1154 01:02:11,800 --> 01:02:14,400 Speaker 1: They shouldn't be kicked off of Twitter. Donald Trump shouldn't 1155 01:02:14,400 --> 01:02:16,560 Speaker 1: have you know, this is a powerful political figure. He 1156 01:02:16,560 --> 01:02:19,200 Speaker 1: shouldn't have been deplatformed from all these places I try 1157 01:02:19,200 --> 01:02:22,600 Speaker 1: to be consistent, and the reason why is because it's 1158 01:02:22,640 --> 01:02:27,440 Speaker 1: not about my pet issue or cause getting deplatformed and censored. 1159 01:02:28,000 --> 01:02:32,000 Speaker 1: It's about the principle. And the fact of the matter is, 1160 01:02:32,240 --> 01:02:35,960 Speaker 1: if you actually want a different direction, you're not going 1161 01:02:36,040 --> 01:02:41,240 Speaker 1: to get there by turning this into a partisan sectarian issue. 1162 01:02:41,360 --> 01:02:43,840 Speaker 1: You're actually the opposite wall the op I tell people 1163 01:02:43,840 --> 01:02:46,080 Speaker 1: that all the time will happen, and it is happening. 1164 01:02:46,400 --> 01:02:49,520 Speaker 1: That's exactly what is happening. The real beef that some 1165 01:02:49,760 --> 01:02:52,240 Speaker 1: on the right have is that they aren't the ones 1166 01:02:52,280 --> 01:02:56,480 Speaker 1: that exclusively get to do the censorship anymore. Both sides 1167 01:02:56,520 --> 01:02:59,680 Speaker 1: are really fighting to have control over what is allowed 1168 01:02:59,720 --> 01:03:02,640 Speaker 1: to be said in the public sphere. And if you 1169 01:03:02,680 --> 01:03:05,440 Speaker 1: don't see that overarching piece where this is a threat 1170 01:03:05,480 --> 01:03:08,000 Speaker 1: to this is true. It is truly a threat to 1171 01:03:08,840 --> 01:03:11,640 Speaker 1: democratic force and the ability for independent voices to rise 1172 01:03:11,680 --> 01:03:14,120 Speaker 1: and all of that. That's one hundred percent true. But 1173 01:03:14,400 --> 01:03:18,440 Speaker 1: it is not exclusively the province of the left or 1174 01:03:18,520 --> 01:03:21,080 Speaker 1: the right. And if you want to have allies across 1175 01:03:21,080 --> 01:03:24,560 Speaker 1: the political spectrum, you have to be willing to look 1176 01:03:24,600 --> 01:03:27,520 Speaker 1: at those places where people who have views that you 1177 01:03:27,600 --> 01:03:30,680 Speaker 1: do not personally support are also being censored. It's not 1178 01:03:30,720 --> 01:03:32,440 Speaker 1: fun to be principled, but it's the only way to 1179 01:03:32,440 --> 01:03:34,720 Speaker 1: actually do anything about it. Wow, you guys must really 1180 01:03:34,760 --> 01:03:36,400 Speaker 1: like listening to our voices. Well, I know this is 1181 01:03:36,400 --> 01:03:39,160 Speaker 1: annoying instead of making you listen to a Viagric commercial. 1182 01:03:39,320 --> 01:03:41,480 Speaker 1: When you're done, check out the other podcast I do 1183 01:03:41,560 --> 01:03:43,919 Speaker 1: with Marshall Kasoff called The Realignment. We talk a lot 1184 01:03:44,000 --> 01:03:47,640 Speaker 1: about the deeper issues that are changing, realigning in American society. 1185 01:03:47,800 --> 01:03:50,120 Speaker 1: You always need more crystal and soogur in your daily lives. 1186 01:03:50,200 --> 01:03:52,960 Speaker 1: Take care, guys. All right, Sager, what are you looking at? Well, 1187 01:03:53,080 --> 01:03:55,520 Speaker 1: the greatest tragedy of COVID is what could have been. 1188 01:03:55,640 --> 01:03:58,680 Speaker 1: I'll be honest. Back in February, I truly had hope 1189 01:03:58,680 --> 01:04:01,400 Speaker 1: that we would make the most a coming national crisis. 1190 01:04:01,720 --> 01:04:04,200 Speaker 1: I mean, look, we had this virus that literally came 1191 01:04:04,240 --> 01:04:07,120 Speaker 1: out of communist China, which they covered up. We had 1192 01:04:07,120 --> 01:04:10,680 Speaker 1: a supply chain crisis, highlighting how dangerous globalization has been 1193 01:04:10,680 --> 01:04:13,160 Speaker 1: for the United States over the last forty years. We 1194 01:04:13,200 --> 01:04:16,440 Speaker 1: had a national moment where everyone, for a very tiny, 1195 01:04:16,680 --> 01:04:19,920 Speaker 1: tiny tiny amount of time, was actually all in this together. 1196 01:04:20,280 --> 01:04:23,240 Speaker 1: We had a record economic package in which we pushed 1197 01:04:23,280 --> 01:04:26,760 Speaker 1: money out the door and we broke so many barriers. 1198 01:04:27,080 --> 01:04:30,520 Speaker 1: The time was then to reset the American relationship with 1199 01:04:30,640 --> 01:04:34,520 Speaker 1: China and with itself, to reaffirm the principle that we 1200 01:04:34,560 --> 01:04:37,800 Speaker 1: actually need to build things here in America again. We 1201 01:04:37,840 --> 01:04:40,120 Speaker 1: need to take care of our workers, we need to 1202 01:04:40,120 --> 01:04:43,160 Speaker 1: take care of ourselves. It could have been a great 1203 01:04:43,160 --> 01:04:45,760 Speaker 1: depression and World War two style event. It could have 1204 01:04:45,800 --> 01:04:48,960 Speaker 1: been a moment of national reinvention for the better, and 1205 01:04:49,000 --> 01:04:52,880 Speaker 1: then the culture War took over instead. Trump ended up 1206 01:04:52,880 --> 01:04:56,000 Speaker 1: being a moron. The Libs actually did go crazy, and 1207 01:04:56,040 --> 01:04:58,280 Speaker 1: we just argued about masks and vaccines for the next 1208 01:04:58,320 --> 01:05:01,000 Speaker 1: eighteen months. We elected the an eighty year old dude 1209 01:05:01,000 --> 01:05:04,479 Speaker 1: who's been in Washington for the last fifty years as president. Yes, 1210 01:05:04,680 --> 01:05:08,160 Speaker 1: the economic packages we'd passed they were extraordinary, but it's 1211 01:05:08,160 --> 01:05:10,400 Speaker 1: been a long time since those twelve hundred dollars checks. 1212 01:05:10,480 --> 01:05:13,160 Speaker 1: If you take a look around DC here today, nothing 1213 01:05:13,200 --> 01:05:16,400 Speaker 1: has really changed. It's back to normal, except honestly, it's 1214 01:05:16,480 --> 01:05:20,640 Speaker 1: much worse because now today we not only have the 1215 01:05:20,640 --> 01:05:24,439 Speaker 1: policies of yesterday, we have the effects of COVID, which 1216 01:05:24,440 --> 01:05:28,160 Speaker 1: have left us more vulnerable than arguably were in February 1217 01:05:28,200 --> 01:05:31,280 Speaker 1: of twenty twenty, after the entire nation. Just saw that 1218 01:05:31,360 --> 01:05:34,160 Speaker 1: we didn't have what we needed for ppe during the pandemic, 1219 01:05:34,440 --> 01:05:37,440 Speaker 1: realized that most of the world's vitamins basic medical supplies 1220 01:05:37,480 --> 01:05:40,640 Speaker 1: originated in China. You might have expected the United States 1221 01:05:40,680 --> 01:05:44,280 Speaker 1: government to reduce our dependency on that nation, right, Yeah, 1222 01:05:44,440 --> 01:05:48,080 Speaker 1: that's actually completely wrong. In fact, things have gotten much 1223 01:05:48,120 --> 01:05:51,560 Speaker 1: worse right now, in the middle of the supply crisis 1224 01:05:51,600 --> 01:05:55,000 Speaker 1: that we face. Chinese exports to the United States are 1225 01:05:55,120 --> 01:05:59,360 Speaker 1: up thirty one percent since January of twenty eighteen, when 1226 01:05:59,400 --> 01:06:02,280 Speaker 1: Trump put ten tariffs on that nation. In fact, per 1227 01:06:02,320 --> 01:06:06,280 Speaker 1: asia times at a seasonally adjusted rate, the United States 1228 01:06:06,320 --> 01:06:09,800 Speaker 1: is buying six hundred and thirty five billion dollars worth 1229 01:06:09,840 --> 01:06:13,440 Speaker 1: of Chinese goods, equal to twenty seven percent of our 1230 01:06:13,440 --> 01:06:18,600 Speaker 1: total US manufacturing GDP. That level of import dependency on 1231 01:06:18,720 --> 01:06:23,160 Speaker 1: a single nation relative to domestic manufacturing is quote the 1232 01:06:23,280 --> 01:06:28,720 Speaker 1: sort of import dependency economists associate with third world countries 1233 01:06:29,000 --> 01:06:33,520 Speaker 1: dependent on former colonial powers. Yes, you heard that correctly. 1234 01:06:33,880 --> 01:06:37,080 Speaker 1: After a crisis which exposed all of the faults of 1235 01:06:37,080 --> 01:06:42,560 Speaker 1: globalization and Chinese dependence specifically, we have become more economically 1236 01:06:42,600 --> 01:06:46,560 Speaker 1: dependent than ever on China. How did that happen? It's 1237 01:06:46,600 --> 01:06:50,040 Speaker 1: a term that actually implicates everybody. It includes me and 1238 01:06:50,120 --> 01:06:52,640 Speaker 1: probably most of you. But let's start with Trump. He 1239 01:06:52,720 --> 01:06:54,840 Speaker 1: talked a big game on China, and to his credit, 1240 01:06:54,920 --> 01:06:57,760 Speaker 1: he did put tariffs on that country. At the same time, though, 1241 01:06:57,880 --> 01:07:01,000 Speaker 1: he also gave a massive tax cut to the real corporations, 1242 01:07:01,160 --> 01:07:03,560 Speaker 1: and as part of that tax cut, the GOP bill 1243 01:07:03,720 --> 01:07:07,320 Speaker 1: actually cut depreciation allowances for capital equipment in order to 1244 01:07:07,360 --> 01:07:10,680 Speaker 1: pay for their lower corporate tax rate. And so that's 1245 01:07:10,640 --> 01:07:14,520 Speaker 1: screwed with incentives so much so that in twenty nineteen 1246 01:07:14,840 --> 01:07:17,800 Speaker 1: it was the first time since the two thousand and 1247 01:07:17,960 --> 01:07:22,080 Speaker 1: eight crash that US companies spent more money buying back 1248 01:07:22,120 --> 01:07:26,000 Speaker 1: their own stock than actually investing in their equipment. It 1249 01:07:26,040 --> 01:07:28,720 Speaker 1: was a perfect storm because it caused a decline in 1250 01:07:28,880 --> 01:07:32,240 Speaker 1: orders of US manufacturing equipment all the way down to 1251 01:07:32,320 --> 01:07:34,480 Speaker 1: the very same levels that we saw in this country 1252 01:07:34,800 --> 01:07:38,560 Speaker 1: in nineteen ninety two. We simply do not even have 1253 01:07:38,600 --> 01:07:42,120 Speaker 1: the domestic capacity right now to make the machines which 1254 01:07:42,120 --> 01:07:45,360 Speaker 1: you can turn can make stuff. So the GOP tax 1255 01:07:45,400 --> 01:07:49,120 Speaker 1: bill basically set us up for failure heading into the pandemic. Now, 1256 01:07:49,160 --> 01:07:52,000 Speaker 1: before that, of course, Joe Biden and George W. Bush, 1257 01:07:52,000 --> 01:07:55,080 Speaker 1: in the entire establishment were united in helping destroy the 1258 01:07:55,200 --> 01:07:59,560 Speaker 1: US manufacturing sector by allowing China into the wto signing 1259 01:07:59,640 --> 01:08:03,280 Speaker 1: NAFTA into law. Those twin actions, more than anything, hallowed 1260 01:08:03,280 --> 01:08:06,480 Speaker 1: out our industrial Midwest, and it reduced manufacturing to near 1261 01:08:06,520 --> 01:08:08,960 Speaker 1: all time lows in the United States. But where do 1262 01:08:09,080 --> 01:08:12,880 Speaker 1: we come into play. Well, everyone, I, like you, am 1263 01:08:12,880 --> 01:08:16,519 Speaker 1: probably afflicted by the most American of diseases, as for 1264 01:08:16,680 --> 01:08:20,360 Speaker 1: almost two years of coronavirus madness. It sometimes just feels 1265 01:08:20,400 --> 01:08:23,160 Speaker 1: better than ever to just buy stuff, And it turns 1266 01:08:23,200 --> 01:08:26,639 Speaker 1: out I'm not the only one. In fact, consumer spending 1267 01:08:26,720 --> 01:08:31,040 Speaker 1: in the last year or so has skyrocketed to record levels. 1268 01:08:31,360 --> 01:08:33,880 Speaker 1: Of course, we intended some of that to happen with 1269 01:08:33,960 --> 01:08:36,040 Speaker 1: the twelve hundred dollars checks and the other efforts to 1270 01:08:36,120 --> 01:08:38,960 Speaker 1: stimulate the economy. But the problem is when you can 1271 01:08:39,000 --> 01:08:42,160 Speaker 1: only make stuff in one country and suddenly everybody wants 1272 01:08:42,160 --> 01:08:45,040 Speaker 1: to buy stuff, then US dependency on China is of 1273 01:08:45,080 --> 01:08:48,840 Speaker 1: course going to increase. In other words, we have multiple crises. 1274 01:08:49,040 --> 01:08:52,880 Speaker 1: Chief among them is ineffective political leadership. Both Trump and 1275 01:08:52,920 --> 01:08:56,360 Speaker 1: Biden have utterly failed to reduce US dependence on China. 1276 01:08:56,439 --> 01:08:59,759 Speaker 1: Despite talking a big game, neither of them have shown 1277 01:09:00,120 --> 01:09:03,439 Speaker 1: any of the requisite political will to dramatically transform the 1278 01:09:03,520 --> 01:09:06,280 Speaker 1: US economy and to take on the corrupt business leaders 1279 01:09:06,280 --> 01:09:08,840 Speaker 1: who want this status quo. In fact, as I covered 1280 01:09:08,880 --> 01:09:11,679 Speaker 1: a few weeks ago, Biden is actually making it easier 1281 01:09:11,720 --> 01:09:16,599 Speaker 1: for US companies to increase dependence on China with tariff exclusions. Trump, 1282 01:09:16,760 --> 01:09:19,719 Speaker 1: while talking a big game, made the situation much worse 1283 01:09:19,720 --> 01:09:21,680 Speaker 1: with the tax bill. But I also don't want to 1284 01:09:21,760 --> 01:09:24,080 Speaker 1: let all of us off the hook either. Yes, it 1285 01:09:24,160 --> 01:09:26,920 Speaker 1: is true our culture and our political leadership have taught 1286 01:09:27,000 --> 01:09:30,360 Speaker 1: us that. As Matt Stoler said yesterday, consumerism is more 1287 01:09:30,360 --> 01:09:34,280 Speaker 1: important than citizenship for some. But let's be honest and 1288 01:09:34,320 --> 01:09:38,040 Speaker 1: realize that politicians also respond to incentives. The reason that 1289 01:09:38,080 --> 01:09:40,680 Speaker 1: both Biden and Trump can get away with this is 1290 01:09:40,720 --> 01:09:44,479 Speaker 1: because we let them. Most people would prefer to just 1291 01:09:44,520 --> 01:09:47,720 Speaker 1: shrug and say, yeah, that's terrible. Someone should do something 1292 01:09:47,800 --> 01:09:50,240 Speaker 1: about that. Also, don't you dare tell me that the 1293 01:09:50,240 --> 01:09:52,280 Speaker 1: stuff I buy at Walmart's going to be ten cents 1294 01:09:52,280 --> 01:09:54,840 Speaker 1: more expensive if you do try to do something about it. 1295 01:09:55,160 --> 01:09:57,479 Speaker 1: The race to the bottom in our politics right now 1296 01:09:57,760 --> 01:09:59,920 Speaker 1: is as much of a reflection of us and all 1297 01:10:00,040 --> 01:10:03,240 Speaker 1: our values as it is the decrepit leadership class that 1298 01:10:03,360 --> 01:10:06,559 Speaker 1: rules US. So to change this, we have to actually 1299 01:10:06,600 --> 01:10:10,080 Speaker 1: demand change. I know that really sounds simple, But the 1300 01:10:10,160 --> 01:10:13,320 Speaker 1: hardest thing we can actually do is let's stop being 1301 01:10:13,439 --> 01:10:17,599 Speaker 1: consumers and start being citizens again. How stunning is it, Crystal, 1302 01:10:17,760 --> 01:10:20,840 Speaker 1: that in the years after the Trump tariffs that x 1303 01:10:20,880 --> 01:10:23,920 Speaker 1: imports from China actually went one more thing, I promise. 1304 01:10:24,280 --> 01:10:26,480 Speaker 1: Just wanted to make sure you knew about my podcast 1305 01:10:26,479 --> 01:10:29,320 Speaker 1: with Kyle Kolinski. It's called Crystal, Kyle and Friends, where 1306 01:10:29,320 --> 01:10:32,120 Speaker 1: we do long form interviews with people like Noam Chomsky, 1307 01:10:32,200 --> 01:10:35,479 Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any 1308 01:10:35,520 --> 01:10:38,920 Speaker 1: podcast platform, or you can subscribe over on substack to 1309 01:10:38,920 --> 01:10:41,280 Speaker 1: get the video a day early. We're gonna stop bugging 1310 01:10:41,280 --> 01:10:43,880 Speaker 1: you now. Enjoy all right, Crystal, what are you taking 1311 01:10:43,880 --> 01:10:47,040 Speaker 1: a look at? Well? Guys, do you remember this? The 1312 01:10:47,080 --> 01:10:50,640 Speaker 1: only way we can deal with corporate greed in America 1313 01:10:50,800 --> 01:10:55,400 Speaker 1: is union power. That's a fact. You're the only ones 1314 01:10:55,400 --> 01:10:57,800 Speaker 1: to keep the barbaris another side of the gate man. 1315 01:10:58,280 --> 01:11:02,920 Speaker 1: You're the only ones. I promise you. The fair labor 1316 01:11:02,960 --> 01:11:06,160 Speaker 1: standard Zach passed way back in Roosevelt's day didn't say 1317 01:11:06,640 --> 01:11:09,360 Speaker 1: we're allowed to have unions and said the government should 1318 01:11:09,400 --> 01:11:13,920 Speaker 1: promote unions. I promise you I will be the most 1319 01:11:13,960 --> 01:11:18,120 Speaker 1: pro union president you have ever seen. I guarantee you 1320 01:11:18,160 --> 01:11:23,000 Speaker 1: a seat at the table the government should promote unions. That, 1321 01:11:23,080 --> 01:11:24,720 Speaker 1: of course, was Joe Biden, and that was on the 1322 01:11:24,760 --> 01:11:28,400 Speaker 1: eve of election day in Beaver County, Pennsylvania. Fun fact, 1323 01:11:28,479 --> 01:11:31,280 Speaker 1: I used to live right next door neighboring East Liverpool, Ohio. 1324 01:11:31,760 --> 01:11:35,960 Speaker 1: So after launching his campaign at a Pittsburgh firefighters union hall, 1325 01:11:36,240 --> 01:11:39,320 Speaker 1: Biden closed his campaign by promising to be the most 1326 01:11:39,520 --> 01:11:43,280 Speaker 1: pro union president in history, by promising that he would 1327 01:11:43,320 --> 01:11:48,240 Speaker 1: not only allow workers to unionize, but would actively promote unionization. 1328 01:11:48,760 --> 01:11:51,040 Speaker 1: Now as president, he's also made clear he sees the 1329 01:11:51,040 --> 01:11:54,280 Speaker 1: decline of unions as a critical threat to America, saying 1330 01:11:54,320 --> 01:11:57,240 Speaker 1: that the trend has quote weakened our democracy. Those are 1331 01:11:57,240 --> 01:12:00,760 Speaker 1: pretty strong words. Yet here we are the beginning of 1332 01:12:00,800 --> 01:12:04,120 Speaker 1: a major strike wave with workers from coast to coast. 1333 01:12:04,160 --> 01:12:07,639 Speaker 1: We're talking bus drivers and nurses and factory workers alike, 1334 01:12:08,040 --> 01:12:12,439 Speaker 1: all authorizing strikes, some rejecting contracts, some hitting the picket lines. 1335 01:12:12,800 --> 01:12:16,160 Speaker 1: And what has the self proclaimed most pro union president 1336 01:12:16,200 --> 01:12:19,120 Speaker 1: in history had to say about it? Pretty close to 1337 01:12:19,439 --> 01:12:22,439 Speaker 1: nothing at all. His press secretary delivered the company line 1338 01:12:22,479 --> 01:12:24,320 Speaker 1: that they would have nothing to say about any of 1339 01:12:24,360 --> 01:12:27,880 Speaker 1: the ongoing strikes. Well, noting generally that Biden is pro union, 1340 01:12:28,439 --> 01:12:31,200 Speaker 1: you've got about ten thousand John Gear workers on strike, 1341 01:12:31,240 --> 01:12:34,360 Speaker 1: and about other strikes going on, how concern are you 1342 01:12:34,400 --> 01:12:36,640 Speaker 1: about the impactors might have on an economy or the 1343 01:12:36,640 --> 01:12:41,360 Speaker 1: supply chain, and do you have any plans to intervene? Well, 1344 01:12:42,360 --> 01:12:45,800 Speaker 1: we of course are not going to speak to any 1345 01:12:45,800 --> 01:12:51,160 Speaker 1: individual ongoing potential individual labor actions, as you know as 1346 01:12:51,160 --> 01:12:54,120 Speaker 1: a standard, but I will note that the president and 1347 01:12:54,120 --> 01:12:57,120 Speaker 1: the Vice president often say and that this is the 1348 01:12:57,160 --> 01:13:00,960 Speaker 1: most pro union administration in history, and they will continue 1349 01:13:01,000 --> 01:13:06,559 Speaker 1: to govern and lead with that in mind. You got 1350 01:13:06,560 --> 01:13:08,240 Speaker 1: to love how that question is framed too, about what 1351 01:13:08,280 --> 01:13:11,240 Speaker 1: the strike would do to the supply chain, not about 1352 01:13:11,280 --> 01:13:14,280 Speaker 1: what it might mean for the workers. For example. Then 1353 01:13:14,360 --> 01:13:17,000 Speaker 1: we were grace with a few utterances from mister most 1354 01:13:17,120 --> 01:13:20,400 Speaker 1: pro union president in history himself. He said that his 1355 01:13:20,560 --> 01:13:23,280 Speaker 1: message to those striking workers is that they have a 1356 01:13:23,360 --> 01:13:25,280 Speaker 1: right to strike, and they have a right to demand 1357 01:13:25,360 --> 01:13:27,719 Speaker 1: higher wages, and the companies they're striking on are doing 1358 01:13:27,840 --> 01:13:30,640 Speaker 1: very well, not going to get into the negotiation. But 1359 01:13:30,760 --> 01:13:32,720 Speaker 1: my message is if you think that's what you need, 1360 01:13:32,760 --> 01:13:35,400 Speaker 1: then you should do it. Guys. Let's just be honest. 1361 01:13:35,600 --> 01:13:38,559 Speaker 1: This is extremely weak. A tectonic shift is happening right 1362 01:13:38,600 --> 01:13:41,000 Speaker 1: now in relations between labor and management. You see it 1363 01:13:41,080 --> 01:13:43,360 Speaker 1: in the strikes he's see in the great resignation. You 1364 01:13:43,400 --> 01:13:46,519 Speaker 1: see it in skyrocketing approval ratings for unions and Biden 1365 01:13:46,960 --> 01:13:49,960 Speaker 1: he is largely missing in action. He hasn't said a 1366 01:13:49,960 --> 01:13:53,880 Speaker 1: word about other strikes happening at Kellogg's and other workplaces. 1367 01:13:54,240 --> 01:13:56,800 Speaker 1: Some of the workers who are risking their livelihoods here 1368 01:13:57,000 --> 01:14:00,400 Speaker 1: they've noticed his absence from the fight. Carrie Williams, president 1369 01:14:00,479 --> 01:14:04,160 Speaker 1: of BCTGM Local three seventy four g told Politico quote, 1370 01:14:04,360 --> 01:14:07,000 Speaker 1: at the end of the day, Kellogg's is an iconic 1371 01:14:07,080 --> 01:14:11,280 Speaker 1: American manufacturer food wise, we were essential workers, and I 1372 01:14:11,320 --> 01:14:14,599 Speaker 1: would hope the Biden administration will put something out there 1373 01:14:14,640 --> 01:14:17,559 Speaker 1: to encourage the kellogg management to get back to the 1374 01:14:17,560 --> 01:14:21,080 Speaker 1: negotiating table. Look, let me be totally clear. Biden, of course, 1375 01:14:21,120 --> 01:14:23,400 Speaker 1: has been way better on labor than Trump. It's not 1376 01:14:23,439 --> 01:14:26,360 Speaker 1: even close. Most critically, he staffed the National Labor Relations 1377 01:14:26,400 --> 01:14:28,720 Speaker 1: Board with people who actually believe in the mission of 1378 01:14:28,760 --> 01:14:31,960 Speaker 1: that body instead of union investing lawyers. But as Jonah 1379 01:14:32,000 --> 01:14:34,679 Speaker 1: Furman and Gabriel Wnant point out in a recent article 1380 01:14:34,960 --> 01:14:38,360 Speaker 1: he's also weakened labour's hands significantly by allowing a lot 1381 01:14:38,400 --> 01:14:42,000 Speaker 1: of key pandemic supports to expire. Workers out on strike 1382 01:14:42,080 --> 01:14:44,960 Speaker 1: they lose their employer sponsored health insurance. So those COBRA 1383 01:14:45,000 --> 01:14:48,599 Speaker 1: subsidies that we did have, those have expired. They would 1384 01:14:48,640 --> 01:14:51,840 Speaker 1: have been rather useful. Talk of the pro Act, of course, 1385 01:14:51,840 --> 01:14:54,559 Speaker 1: initially pitched as an integral part of the Build Back 1386 01:14:54,640 --> 01:14:59,040 Speaker 1: Better plan, that has completely vanished from public debate, and 1387 01:14:59,080 --> 01:15:02,080 Speaker 1: as I detailed early, Biden has stuck to a legalistic 1388 01:15:02,200 --> 01:15:05,320 Speaker 1: dodge when asked about these strikes, failing to directly advocate 1389 01:15:05,400 --> 01:15:08,200 Speaker 1: for the workers. This power of the bully pulpit is 1390 01:15:08,240 --> 01:15:11,599 Speaker 1: also not to be underestimated. Media coverage of strike Tober 1391 01:15:11,680 --> 01:15:17,400 Speaker 1: has been sorely lacking. Biden forcefully weighing in would be controversial, 1392 01:15:17,439 --> 01:15:20,000 Speaker 1: and it would force the press to actually pay attention. 1393 01:15:20,439 --> 01:15:23,040 Speaker 1: That would put pressure on all of the companies involved 1394 01:15:23,240 --> 01:15:25,760 Speaker 1: not to mention help inform the American people about what's 1395 01:15:25,800 --> 01:15:29,040 Speaker 1: going on. We are truly at a pivot point in 1396 01:15:29,120 --> 01:15:31,240 Speaker 1: terms of the labor movement and in terms of the 1397 01:15:31,240 --> 01:15:34,120 Speaker 1: fate of the American worker. In fact, at least some 1398 01:15:34,160 --> 01:15:36,080 Speaker 1: of the workers out on strike right now, they see 1399 01:15:36,120 --> 01:15:39,479 Speaker 1: their struggle in the broader context of an existential battle 1400 01:15:39,640 --> 01:15:43,280 Speaker 1: for the middle class. After all, rising in equality and 1401 01:15:43,360 --> 01:15:46,600 Speaker 1: falling union density, those things go hand in hand. You 1402 01:15:46,600 --> 01:15:49,400 Speaker 1: can see it in this chart. It's a direct relationship. 1403 01:15:49,680 --> 01:15:54,320 Speaker 1: As unions decline, wealth concentration accelerates. It is a clear 1404 01:15:54,320 --> 01:15:57,280 Speaker 1: as day correlation. And of course it makes perfect sense 1405 01:15:57,560 --> 01:16:00,360 Speaker 1: when war workers are unionized. Unions have more power. When 1406 01:16:00,439 --> 01:16:02,880 Speaker 1: unions have more power, they're able to win better deals 1407 01:16:02,880 --> 01:16:05,360 Speaker 1: for their members, and when their members win better deals, 1408 01:16:05,640 --> 01:16:09,919 Speaker 1: it lifts wages and conditions even for non union workers. 1409 01:16:10,400 --> 01:16:13,519 Speaker 1: It is no accident that as union density has declined 1410 01:16:13,560 --> 01:16:17,439 Speaker 1: in America, wages have stagnated, and corporate profits have soared. 1411 01:16:18,000 --> 01:16:20,640 Speaker 1: There is a moment here to be seized, one of 1412 01:16:20,640 --> 01:16:23,120 Speaker 1: the most hopeful moments that I frankly have seen in 1413 01:16:23,160 --> 01:16:26,280 Speaker 1: a long while in American political life. A sea change 1414 01:16:26,320 --> 01:16:28,559 Speaker 1: in how workers view their jobs and how they view 1415 01:16:28,600 --> 01:16:31,599 Speaker 1: their bosses. A tight labor market that is giving workers 1416 01:16:31,640 --> 01:16:34,519 Speaker 1: a little bit of leverage to play with. What's more, 1417 01:16:34,880 --> 01:16:38,120 Speaker 1: public opinion is dramatically on the side of the workers 1418 01:16:38,160 --> 01:16:42,040 Speaker 1: who we claimed as essential but then were treated as disposable. 1419 01:16:42,640 --> 01:16:45,160 Speaker 1: Why not President Biden show up at a picket line. 1420 01:16:45,520 --> 01:16:48,080 Speaker 1: Why not dramatically join the right side of the class 1421 01:16:48,080 --> 01:16:50,920 Speaker 1: war for once. Why not force a vote on the 1422 01:16:50,960 --> 01:16:54,599 Speaker 1: pro act and make every anti union legislator go on 1423 01:16:54,680 --> 01:16:58,639 Speaker 1: the record as being for or against worker power. Biden 1424 01:16:58,680 --> 01:17:01,080 Speaker 1: said that Beaver County Camp Pain speech I played that 1425 01:17:01,200 --> 01:17:03,479 Speaker 1: the only way to deal with corporate greed in America 1426 01:17:03,680 --> 01:17:06,840 Speaker 1: is through union power. So Joe Biden doesn't have to 1427 01:17:06,840 --> 01:17:09,760 Speaker 1: look back to FDR or anyone else to know what 1428 01:17:09,840 --> 01:17:12,960 Speaker 1: his role should be right now. He only needs to 1429 01:17:13,000 --> 01:17:16,360 Speaker 1: live up to his own promises. And you know, Sager, 1430 01:17:17,240 --> 01:17:19,960 Speaker 1: obviously this is a bit of wishful thinking, But I 1431 01:17:20,080 --> 01:17:22,599 Speaker 1: just don't think we can let go of the fact 1432 01:17:22,600 --> 01:17:25,360 Speaker 1: that there is a moment right here that if someone 1433 01:17:25,880 --> 01:17:28,360 Speaker 1: all right joining us. Now we have Chris Larson. He's 1434 01:17:28,400 --> 01:17:32,400 Speaker 1: the former UAW Local seventy four president, a local there 1435 01:17:32,439 --> 01:17:35,719 Speaker 1: in Iowa and worked at John Deere for nineteen years. 1436 01:17:35,720 --> 01:17:38,360 Speaker 1: Great to have you, Chris, Good to see you. Chris. Hey, 1437 01:17:38,400 --> 01:17:40,880 Speaker 1: thank you and thanks for having me on your show. 1438 01:17:41,320 --> 01:17:43,160 Speaker 1: Oh it's our pleasure. Thanks for taking the time. So 1439 01:17:43,280 --> 01:17:45,880 Speaker 1: just give us an update. What's going on with the 1440 01:17:45,920 --> 01:17:50,439 Speaker 1: strike this morning and what were the key issues that 1441 01:17:50,479 --> 01:17:54,600 Speaker 1: forced you all out on the picket lines. Okay, so 1442 01:17:55,360 --> 01:17:58,320 Speaker 1: you know we're manning the picket line twenty four to seven. 1443 01:18:00,000 --> 01:18:03,800 Speaker 1: Our negotiating team went back up Timolinomoi yesterday to make 1444 01:18:03,840 --> 01:18:09,040 Speaker 1: themselves available for negotiations. It's to my understanding that Deer 1445 01:18:09,120 --> 01:18:11,160 Speaker 1: did meet with them. Other than that, I have no 1446 01:18:11,280 --> 01:18:17,880 Speaker 1: details from that. The tentative of agreement that was brought 1447 01:18:17,920 --> 01:18:19,960 Speaker 1: back to us and then we voted down by ninety 1448 01:18:19,960 --> 01:18:24,400 Speaker 1: percent on August or October fourth. There were several problems, 1449 01:18:25,560 --> 01:18:28,839 Speaker 1: as you might know, since nineteen ninety seven, we've been tiered. 1450 01:18:29,800 --> 01:18:34,000 Speaker 1: Anybody hired after one October of nineteen ninety seven came 1451 01:18:34,080 --> 01:18:42,720 Speaker 1: in with a substantial less wage, no post retirement healthcare, KIP, 1452 01:18:42,880 --> 01:18:46,559 Speaker 1: factors on our incidentive plan that were lower, and many 1453 01:18:46,600 --> 01:18:48,880 Speaker 1: other things, and you know, a pension plan that was 1454 01:18:48,920 --> 01:18:51,160 Speaker 1: a third and a a half of what our predecessors were. 1455 01:18:52,479 --> 01:18:56,360 Speaker 1: And then after twenty five years of concessionary contracts, we 1456 01:18:56,840 --> 01:19:00,840 Speaker 1: finally have a an environment that's ready for us and 1457 01:19:01,160 --> 01:19:03,519 Speaker 1: the balls in our court and we know it. And 1458 01:19:03,640 --> 01:19:06,120 Speaker 1: part of what drives that we see that, you know, 1459 01:19:06,200 --> 01:19:10,120 Speaker 1: Deering Company has been experiencing record profits. Their third quarter 1460 01:19:10,200 --> 01:19:15,000 Speaker 1: reportings exceed their record profit year of twenty thirteen. They're 1461 01:19:15,000 --> 01:19:17,400 Speaker 1: projected to make between five point seven and five point 1462 01:19:17,479 --> 01:19:23,479 Speaker 1: nine billion dollars this year. You probably know CEO John May, 1463 01:19:24,120 --> 01:19:25,920 Speaker 1: the board seemed fit to give him one hundred and 1464 01:19:25,960 --> 01:19:32,680 Speaker 1: sixty percent pay increase. And also you know, look, you know, 1465 01:19:32,760 --> 01:19:36,400 Speaker 1: Dear rewarded their investors in August with the seventeen percent 1466 01:19:36,760 --> 01:19:43,040 Speaker 1: dividend hike in a concerted effort to you know, increase 1467 01:19:43,080 --> 01:19:45,640 Speaker 1: wealth within their shareholders. And what we see with that 1468 01:19:45,800 --> 01:19:49,519 Speaker 1: contract or the tentative agreement that was brought back, it's 1469 01:19:49,560 --> 01:19:52,680 Speaker 1: not fair, it's not equitable, and uh, you know, we're 1470 01:19:52,760 --> 01:19:55,760 Speaker 1: ready to make a stand, Chris. Why is it important 1471 01:19:55,880 --> 01:19:59,880 Speaker 1: to you, maybe some of the older members to fight 1472 01:20:00,160 --> 01:20:05,160 Speaker 1: against the tier system and the continuation of if you 1473 01:20:05,200 --> 01:20:07,400 Speaker 1: guys are taken care of Why is it important for 1474 01:20:07,479 --> 01:20:10,479 Speaker 1: you know, older members or people who have better benefits 1475 01:20:10,520 --> 01:20:13,559 Speaker 1: to fight for people who have lesser and which John 1476 01:20:13,640 --> 01:20:16,720 Speaker 1: Deere may be trying to take advantage of. You know, 1477 01:20:16,840 --> 01:20:22,120 Speaker 1: that's a great question. You know, look, you know we've 1478 01:20:22,160 --> 01:20:24,479 Speaker 1: had twenty five years of being in the tier system. 1479 01:20:24,760 --> 01:20:26,880 Speaker 1: I mean it's lept a bad taste in everybody's mouth. 1480 01:20:27,600 --> 01:20:30,160 Speaker 1: And for me, when I seen the tenet of agreement, 1481 01:20:30,680 --> 01:20:33,280 Speaker 1: the non starter from the beginning, even before we talk 1482 01:20:33,320 --> 01:20:39,600 Speaker 1: about wages is the fact that Deer is, you know, 1483 01:20:39,960 --> 01:20:42,800 Speaker 1: determined to maintain a lower paid workforce. And we can 1484 01:20:42,840 --> 01:20:46,280 Speaker 1: see that when they offered no secure defined pension to 1485 01:20:46,560 --> 01:20:50,800 Speaker 1: new hires after one November of twenty twenty one, just 1486 01:20:50,840 --> 01:20:54,360 Speaker 1: a four one K match. I personally feel, and I 1487 01:20:54,400 --> 01:20:57,280 Speaker 1: think a lot of others do, that we don't want 1488 01:20:57,280 --> 01:21:02,760 Speaker 1: our retirement benefits turned into a Wall Street speculation portfolio. 1489 01:21:04,680 --> 01:21:08,000 Speaker 1: We've covered here how they're One of the tactics they're 1490 01:21:08,080 --> 01:21:10,559 Speaker 1: using to try to break the strike is they've brought 1491 01:21:10,600 --> 01:21:13,840 Speaker 1: in salaried workers to try to do the jobs that 1492 01:21:13,920 --> 01:21:18,360 Speaker 1: you all were doing. How is that going well? I 1493 01:21:18,400 --> 01:21:19,960 Speaker 1: can't speak to that. I mean, I'd love to be 1494 01:21:20,000 --> 01:21:22,439 Speaker 1: a fly on the wall in there, but that is true. 1495 01:21:22,439 --> 01:21:27,479 Speaker 1: They do have some salaried employees in their working You 1496 01:21:27,520 --> 01:21:30,599 Speaker 1: know what they're doing, I don't know, it would seem 1497 01:21:30,920 --> 01:21:32,680 Speaker 1: pretty far stretched. Do you think that they would be 1498 01:21:32,800 --> 01:21:36,559 Speaker 1: capable of doing any sort of production at all? You know, 1499 01:21:36,560 --> 01:21:40,280 Speaker 1: maybe they're just taking inventory. I'm not real sure. There 1500 01:21:40,320 --> 01:21:42,360 Speaker 1: have been a few loaded trucks that go out that 1501 01:21:42,520 --> 01:21:47,880 Speaker 1: have equipment on it, but those are the vast machinery 1502 01:21:47,880 --> 01:21:51,160 Speaker 1: that was built before we went on strike. Yeah, and 1503 01:21:51,200 --> 01:21:53,040 Speaker 1: you know, Chris, something we've been trying to cover here 1504 01:21:53,160 --> 01:21:55,200 Speaker 1: is why, now, you know, why is it that so 1505 01:21:55,240 --> 01:21:58,120 Speaker 1: many people are rising up right now, either to quit 1506 01:21:58,120 --> 01:22:00,719 Speaker 1: their job or better wage or unions who are going 1507 01:22:00,720 --> 01:22:04,160 Speaker 1: out on strike demanding better from these companies. Why now, 1508 01:22:04,760 --> 01:22:06,639 Speaker 1: you know, after John Deere did have a record year, 1509 01:22:06,640 --> 01:22:08,600 Speaker 1: but they've been doing well for a time, why is 1510 01:22:08,640 --> 01:22:11,840 Speaker 1: this moment the right one to stand up? Well, I 1511 01:22:11,840 --> 01:22:14,200 Speaker 1: think what you're seeing is the rebirth of the American 1512 01:22:14,280 --> 01:22:16,720 Speaker 1: labor movement. And there's several factors that kind of went 1513 01:22:16,800 --> 01:22:21,280 Speaker 1: into that. You know, I think the one silver lining 1514 01:22:21,320 --> 01:22:24,640 Speaker 1: in the pandemic is that, you know, treated art shortages 1515 01:22:24,720 --> 01:22:30,120 Speaker 1: and spy issues, they put geer behind on production and 1516 01:22:30,160 --> 01:22:34,120 Speaker 1: it's made it, you know, harder for businesses. And we 1517 01:22:34,200 --> 01:22:38,080 Speaker 1: see that the cheap labor bubble is finally busting, which 1518 01:22:38,120 --> 01:22:40,160 Speaker 1: is a good thing. Workers are demanding more, you know, 1519 01:22:40,200 --> 01:22:42,000 Speaker 1: they're not wanting to go out and work for peanuts, 1520 01:22:42,800 --> 01:22:45,960 Speaker 1: and you know it's time that you know, workers are 1521 01:22:45,960 --> 01:22:48,479 Speaker 1: saying it's sign to distribute to wealth a little more evenly. 1522 01:22:49,760 --> 01:22:53,559 Speaker 1: What type of solidarity have you seen within the communities there, 1523 01:22:55,000 --> 01:22:58,840 Speaker 1: you know, I tell you, Crystal, the solidarity, the outpouring 1524 01:22:58,840 --> 01:23:02,560 Speaker 1: and support in this community has been absolutely amazing and overwhelming. 1525 01:23:03,760 --> 01:23:05,680 Speaker 1: You know, we can't even keep track of all the 1526 01:23:05,680 --> 01:23:10,080 Speaker 1: different businesses that have donated food, water supplies people from 1527 01:23:10,160 --> 01:23:12,600 Speaker 1: the community. You know, as we stand out there on 1528 01:23:12,600 --> 01:23:17,479 Speaker 1: the picket line, you know, it's constant hawking, solidarity fists 1529 01:23:17,520 --> 01:23:23,599 Speaker 1: out the window, and the community is behind us, and 1530 01:23:23,600 --> 01:23:24,960 Speaker 1: and I think a lot of the you know, even 1531 01:23:25,000 --> 01:23:28,080 Speaker 1: the farmers that buy the equipment are behind us. And 1532 01:23:28,160 --> 01:23:32,599 Speaker 1: we have to see, you know, how long can John 1533 01:23:32,680 --> 01:23:37,200 Speaker 1: Dear not produce. There's a big demand for agculture implements 1534 01:23:37,240 --> 01:23:39,880 Speaker 1: right now because the corn prices are up, the soybean 1535 01:23:39,880 --> 01:23:43,599 Speaker 1: prices are up, so the agg market's really strong. Farmers 1536 01:23:43,640 --> 01:23:47,040 Speaker 1: are harvesting their their crops. That's when they get paid, 1537 01:23:47,600 --> 01:23:51,120 Speaker 1: and that's when they're looking to buy tractors and combines 1538 01:23:51,160 --> 01:23:54,320 Speaker 1: and bailors and things of that nature. What type of 1539 01:23:54,360 --> 01:23:58,240 Speaker 1: political support have you received and do you have an 1540 01:23:58,240 --> 01:24:02,920 Speaker 1: expectation of political support? Is something you want to see? Yeah, 1541 01:24:02,960 --> 01:24:05,679 Speaker 1: I mean obviously we take we want all the support 1542 01:24:05,720 --> 01:24:10,160 Speaker 1: we can get. Yeah, we've had several you know, politicians 1543 01:24:10,160 --> 01:24:12,960 Speaker 1: and candidates come down and walked on the line with us. 1544 01:24:14,800 --> 01:24:18,880 Speaker 1: Bernie Sanders called me last Friday and asked, you know, 1545 01:24:18,920 --> 01:24:22,160 Speaker 1: how he could be of support and he bought piculars 1546 01:24:22,200 --> 01:24:25,720 Speaker 1: here at u aw logal seventy four pizza Saturday for 1547 01:24:25,840 --> 01:24:29,840 Speaker 1: lunch and also send down he's videographer to help us 1548 01:24:29,840 --> 01:24:33,320 Speaker 1: make some videos to push out and get our message out. Yeah, 1549 01:24:33,479 --> 01:24:35,639 Speaker 1: we've had, you know, several people come down and walk 1550 01:24:35,680 --> 01:24:37,840 Speaker 1: the line with us, and we appreciate it very much. 1551 01:24:38,600 --> 01:24:40,240 Speaker 1: One of the things that we've talked a little bit 1552 01:24:40,240 --> 01:24:43,600 Speaker 1: about here, Chris, there's a lot that we find inspiring 1553 01:24:43,640 --> 01:24:46,559 Speaker 1: about what you and your brothers and sisters there are doing. 1554 01:24:46,640 --> 01:24:49,479 Speaker 1: But we also find an example inspiring that I'm sure 1555 01:24:49,479 --> 01:24:52,479 Speaker 1: you have people from a range of political views and 1556 01:24:52,560 --> 01:24:57,160 Speaker 1: perspectives supported different candidates, et cetera. And it's kind of rare, 1557 01:24:57,320 --> 01:24:59,920 Speaker 1: sadly that you see in the media that example of 1558 01:25:00,080 --> 01:25:04,360 Speaker 1: people from all different background grounds and political ideologies coming 1559 01:25:04,400 --> 01:25:07,280 Speaker 1: together in this way to fight for something. And I 1560 01:25:07,320 --> 01:25:09,600 Speaker 1: was wondering if you could just speak to that that 1561 01:25:09,760 --> 01:25:12,160 Speaker 1: concept of solidarity and the way that that has played 1562 01:25:12,160 --> 01:25:15,320 Speaker 1: out in the strike in particular. You know, that's one 1563 01:25:15,360 --> 01:25:17,680 Speaker 1: of the most remarkable things I see coming out of 1564 01:25:17,680 --> 01:25:21,919 Speaker 1: this is a display of solidarity. You know, our membership 1565 01:25:22,000 --> 01:25:25,439 Speaker 1: is very divided on political lines. It depends on what 1566 01:25:26,280 --> 01:25:31,920 Speaker 1: type of corporate media you prescribe to, but we do. 1567 01:25:32,280 --> 01:25:35,640 Speaker 1: I mean, we are all together. Everybody's setting their differences aside, 1568 01:25:36,560 --> 01:25:39,040 Speaker 1: you know, coming together as one. You know, my hope 1569 01:25:39,160 --> 01:25:42,920 Speaker 1: is that once it does settles, people can be reflective 1570 01:25:43,000 --> 01:25:45,760 Speaker 1: and you know, see who came, who showed up, and 1571 01:25:46,240 --> 01:25:49,400 Speaker 1: who was with us. Well, we're one hundred percent with you, Chris, 1572 01:25:49,439 --> 01:25:51,479 Speaker 1: so we really appreciate you joining us. Thank you. Yeah. 1573 01:25:51,479 --> 01:25:54,200 Speaker 1: And last thing, Chris, if people want to support you 1574 01:25:54,320 --> 01:26:00,519 Speaker 1: and the other strikers, where can they go. Well, that's 1575 01:26:00,560 --> 01:26:02,880 Speaker 1: a little bit of an issue. I mean here specifically, 1576 01:26:02,920 --> 01:26:05,720 Speaker 1: we have a Fairway Food Stores giving us food at 1577 01:26:05,720 --> 01:26:10,679 Speaker 1: cost Despire Strike Kitchen. If anybody's in the Autumboil area, 1578 01:26:11,080 --> 01:26:14,479 Speaker 1: they can go to Fairway and make a donation for 1579 01:26:14,560 --> 01:26:18,800 Speaker 1: the UAW Local Strike Fund and we can receive money 1580 01:26:18,840 --> 01:26:22,320 Speaker 1: that way. I will say, I'd like to give a 1581 01:26:22,320 --> 01:26:25,160 Speaker 1: shout out to a group that I'm very proud of 1582 01:26:25,439 --> 01:26:27,479 Speaker 1: being part of and that's United out of Workers for 1583 01:26:27,520 --> 01:26:31,519 Speaker 1: Democracy and we're trying to reform our union. They started 1584 01:26:31,560 --> 01:26:35,160 Speaker 1: to go fund me a few days ago and raised 1585 01:26:35,200 --> 01:26:38,120 Speaker 1: like forty five thousand dollars almost before they shut it off. 1586 01:26:38,160 --> 01:26:42,080 Speaker 1: So you know, right now, we have so much food, 1587 01:26:42,080 --> 01:26:45,200 Speaker 1: we have so much water, different things that people have 1588 01:26:45,240 --> 01:26:47,720 Speaker 1: brought in. But if you really want to help and 1589 01:26:47,760 --> 01:26:50,799 Speaker 1: you want to support, and if you're near john der facility, 1590 01:26:50,880 --> 01:26:53,120 Speaker 1: join us on the ticket line and that would be 1591 01:26:53,160 --> 01:26:56,879 Speaker 1: a great way to show your solidarity with us. Awesome, 1592 01:26:56,920 --> 01:26:59,559 Speaker 1: all right, Chris, thank you so much. Good luck out there, 1593 01:26:59,600 --> 01:27:02,320 Speaker 1: keep us updated. We're really grateful for your time. Thanks Chris, 1594 01:27:02,720 --> 01:27:06,560 Speaker 1: thank you very much, our pleasure. Thank you guys so 1595 01:27:06,640 --> 01:27:08,800 Speaker 1: much for watching. We really appreciate it. You know, we 1596 01:27:09,200 --> 01:27:11,200 Speaker 1: just can't thank you guys enough for supporting the show. 1597 01:27:11,240 --> 01:27:13,320 Speaker 1: It gives us life, the ability. You know, you could 1598 01:27:13,400 --> 01:27:15,280 Speaker 1: listen to what Chris says, that's how we have the 1599 01:27:15,320 --> 01:27:18,120 Speaker 1: ability to elevate stories like is to cover the stuff 1600 01:27:18,240 --> 01:27:20,439 Speaker 1: that needs to be done, to actually look at you know, 1601 01:27:20,560 --> 01:27:23,600 Speaker 1: Starbucks and Amazon and really what's happening here, and to 1602 01:27:23,640 --> 01:27:25,280 Speaker 1: try and have a better conversation. So if you can 1603 01:27:25,280 --> 01:27:27,439 Speaker 1: support us it really means a lot. We've been being 1604 01:27:27,479 --> 01:27:31,040 Speaker 1: screwed around both by YouTube for you know, quite a bit. Now. 1605 01:27:31,240 --> 01:27:33,879 Speaker 1: The only reason it doesn't matter is because of your support. 1606 01:27:34,040 --> 01:27:36,040 Speaker 1: So link is down their description if you can become 1607 01:27:36,040 --> 01:27:37,960 Speaker 1: a premium member today. We really appreciate it. Yeah, and 1608 01:27:37,960 --> 01:27:39,320 Speaker 1: I also want to thank you guys for the way 1609 01:27:39,320 --> 01:27:41,680 Speaker 1: that you've supported some of the guests and outlets that 1610 01:27:41,680 --> 01:27:44,240 Speaker 1: we've brought on as well. We hear from them that, 1611 01:27:44,400 --> 01:27:47,280 Speaker 1: you know, when they come on, they see that they're 1612 01:27:47,400 --> 01:27:50,559 Speaker 1: able to continue their subject, they see that there's funds 1613 01:27:50,560 --> 01:27:53,439 Speaker 1: coming into their strike funds. So can't thank you guys 1614 01:27:53,560 --> 01:27:56,120 Speaker 1: enough for the support that you've shown to the entire 1615 01:27:56,240 --> 01:27:59,400 Speaker 1: Breaking Points community. We love you guys. Have a great day, 1616 01:27:59,400 --> 01:28:01,200 Speaker 1: and we'll see you back for a full show on Thursday. 1617 01:28:01,200 --> 01:28:17,639 Speaker 1: See you Thursday. Thanks for listening to the show, guys, 1618 01:28:17,680 --> 01:28:20,240 Speaker 1: We really appreciate it. 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