1 00:00:02,520 --> 00:00:05,800 Speaker 1: This is taking stock with Kathleen Hayes and Pim Fox 2 00:00:05,960 --> 00:00:10,880 Speaker 1: on Bloomberg Radio Race, Racial Injustice. We hear so much 3 00:00:10,920 --> 00:00:14,520 Speaker 1: about this of late, for many very important compelling reasons. 4 00:00:14,600 --> 00:00:17,800 Speaker 1: Certainly it's something that's talked a lot about in this 5 00:00:18,079 --> 00:00:23,840 Speaker 1: run up to the presidential election in November. But unfortunately 6 00:00:23,880 --> 00:00:27,440 Speaker 1: your Hillary Clinton, perhaps her reference to deplorables about half 7 00:00:27,440 --> 00:00:32,040 Speaker 1: of Donald Trump's supporters, uh in the current situation has 8 00:00:32,159 --> 00:00:35,720 Speaker 1: I think put a spotlight again on the question of class, 9 00:00:35,720 --> 00:00:40,120 Speaker 1: which Nancy Eisenberg does in her latest book, which is 10 00:00:40,159 --> 00:00:43,800 Speaker 1: called White Trash, The four year Untold History of Class 11 00:00:43,880 --> 00:00:47,599 Speaker 1: in America. Nancy is a professor of American history at 12 00:00:47,640 --> 00:00:51,400 Speaker 1: Louisiana State University and she joins US Now. Nancy, one 13 00:00:51,400 --> 00:00:54,000 Speaker 1: of the things that many people point out if you 14 00:00:54,040 --> 00:00:57,520 Speaker 1: look at a lot of Donald Trump supporters, whether they 15 00:00:57,520 --> 00:01:00,680 Speaker 1: are deplorable or not, they tend to be a lot 16 00:01:00,720 --> 00:01:03,880 Speaker 1: of them white men who didn't go to college, and 17 00:01:03,880 --> 00:01:06,600 Speaker 1: a lot of them didn't even finish high school. Um 18 00:01:06,720 --> 00:01:08,600 Speaker 1: or do they do? Many of them fall into this 19 00:01:08,680 --> 00:01:13,200 Speaker 1: category of what we have traditionally called white trash. Well, 20 00:01:13,240 --> 00:01:16,080 Speaker 1: it's really complicated. I mean, for example, Nate Silver has 21 00:01:16,080 --> 00:01:20,000 Speaker 1: found people voting for Trump come from a higher class bracket. Um. 22 00:01:20,040 --> 00:01:22,640 Speaker 1: I think the media image has been generated by the 23 00:01:22,680 --> 00:01:26,039 Speaker 1: images from the rallies. Uh. And there was a really 24 00:01:26,040 --> 00:01:28,360 Speaker 1: good New York Times editorial of someone who went to 25 00:01:28,360 --> 00:01:30,920 Speaker 1: the rallies and talked about the you know, the kind 26 00:01:30,920 --> 00:01:34,360 Speaker 1: of hostility and anger that was being voiced. Uh, you know, 27 00:01:34,440 --> 00:01:38,600 Speaker 1: calling Hillary Clinton the B word. Uh. So I think 28 00:01:38,640 --> 00:01:40,880 Speaker 1: this is part of the problem that we have is 29 00:01:40,920 --> 00:01:44,720 Speaker 1: when we try to figure out who are Trump's supporters. Um. 30 00:01:44,760 --> 00:01:47,240 Speaker 1: I think that we we want to say it's the 31 00:01:47,440 --> 00:01:50,760 Speaker 1: white working class. But as I've written elsewhere, you know, 32 00:01:50,800 --> 00:01:52,840 Speaker 1: the working class in the sense is not just white 33 00:01:52,880 --> 00:01:57,520 Speaker 1: male anymore of people in unions or women, and a 34 00:01:57,640 --> 00:02:01,120 Speaker 1: third are minorities. Uh. But I think it goes back 35 00:02:01,160 --> 00:02:04,360 Speaker 1: to a much older narrative, a narrative that I also 36 00:02:04,400 --> 00:02:07,440 Speaker 1: write about, which has to do with a long history 37 00:02:07,440 --> 00:02:11,440 Speaker 1: of Southern politics of pitting poor whites against blacks. And 38 00:02:11,520 --> 00:02:14,600 Speaker 1: this first came out with you know, Donald Trump using 39 00:02:14,680 --> 00:02:17,680 Speaker 1: very explicitly racist rank language in the way he talked 40 00:02:17,680 --> 00:02:21,840 Speaker 1: about immigrants and sort of describing them as criminals and 41 00:02:22,320 --> 00:02:26,080 Speaker 1: rapist uh. And the fact that you know, he was 42 00:02:26,200 --> 00:02:30,359 Speaker 1: encouraging violence against a black protester at one of his rallies. 43 00:02:31,000 --> 00:02:34,320 Speaker 1: Uh So this also I think contributed to the image 44 00:02:34,720 --> 00:02:39,080 Speaker 1: of assuming that you know, Trump's following uh fall into 45 00:02:39,120 --> 00:02:42,200 Speaker 1: this category, and that Trump in a certain way has 46 00:02:42,320 --> 00:02:45,480 Speaker 1: borrowed from the rhetoric of Nixon and the idea of 47 00:02:45,480 --> 00:02:49,560 Speaker 1: the silent majority, which was an appeal to poor, lower 48 00:02:49,560 --> 00:02:54,560 Speaker 1: class whites, and also fed this racial battleground by claiming 49 00:02:54,560 --> 00:02:57,760 Speaker 1: that blacks were unwelfare and whites were being you know, 50 00:02:57,840 --> 00:03:01,400 Speaker 1: weren't being given the same kind of court um. And 51 00:03:01,639 --> 00:03:04,519 Speaker 1: this is, unfortunately, I think of a long along part 52 00:03:04,520 --> 00:03:06,600 Speaker 1: of our history. I mean, I talked about James Vardeman 53 00:03:06,680 --> 00:03:09,760 Speaker 1: back in the early twentieth century. Uh, we could talk 54 00:03:09,880 --> 00:03:14,200 Speaker 1: about Little Rock, Arkansas, which I also write about, but 55 00:03:14,280 --> 00:03:16,080 Speaker 1: I think we we do have to be careful in 56 00:03:16,200 --> 00:03:19,320 Speaker 1: Clinton's case, using deplorables with the wrong word, you know, 57 00:03:19,360 --> 00:03:23,600 Speaker 1: it sounds closer to degenerates. But the what she was 58 00:03:23,639 --> 00:03:25,880 Speaker 1: really getting at, as we know, was they're they're kind 59 00:03:25,919 --> 00:03:32,440 Speaker 1: of hostile, anti gay, anti Muslim, uh anti uh, you know, 60 00:03:32,560 --> 00:03:37,080 Speaker 1: black rhetoric that unfortunately has been the mainstay of a 61 00:03:37,120 --> 00:03:40,080 Speaker 1: lot of Trump's rallies and and the issues that he 62 00:03:40,120 --> 00:03:44,119 Speaker 1: talks about Professor eisen Eisenberg. I just wanted to maybe 63 00:03:44,160 --> 00:03:45,920 Speaker 1: see if we can kind of connect it here to 64 00:03:46,240 --> 00:03:48,920 Speaker 1: talk a little bit about the economy and income, because, 65 00:03:49,280 --> 00:03:53,000 Speaker 1: of course, the report for a real median household income 66 00:03:53,000 --> 00:03:57,440 Speaker 1: in the United States rose five point two uh in 67 00:03:57,680 --> 00:04:02,160 Speaker 1: twenty fifteen from the previous year, and that's the largest 68 00:04:02,200 --> 00:04:05,160 Speaker 1: in percentage terms that's been recorded by the Bureau since 69 00:04:05,200 --> 00:04:09,680 Speaker 1: it began tracking these statistics back in the nineteen sixties. Also, 70 00:04:09,760 --> 00:04:12,520 Speaker 1: the poverty rate fell by a little bit more than 71 00:04:12,600 --> 00:04:17,400 Speaker 1: than one percent, the biggest decline since. Can you talk 72 00:04:17,440 --> 00:04:20,800 Speaker 1: a little bit about those kinds of economics in the 73 00:04:20,880 --> 00:04:23,120 Speaker 1: context of your work. Yeah. I think one of the 74 00:04:23,160 --> 00:04:25,560 Speaker 1: things we have to realize is that even though you 75 00:04:25,680 --> 00:04:29,000 Speaker 1: statistically you can see an increase um. One of the 76 00:04:29,040 --> 00:04:31,000 Speaker 1: things I like people to think about is that if 77 00:04:31,040 --> 00:04:33,160 Speaker 1: you were to look at the map of the United States. 78 00:04:33,200 --> 00:04:36,000 Speaker 1: I talk about the importance of class zoning. People live 79 00:04:36,040 --> 00:04:39,039 Speaker 1: in class zoned neighborhoods. We know there are certain regions 80 00:04:39,080 --> 00:04:41,760 Speaker 1: of the country that have done much better. I talked 81 00:04:41,800 --> 00:04:44,760 Speaker 1: to a Washington Post journalist who was out in rural 82 00:04:44,800 --> 00:04:48,000 Speaker 1: Colorado and found out that women make fifty cents on 83 00:04:48,040 --> 00:04:51,760 Speaker 1: the dollar two men uh, in this rural area. So 84 00:04:51,800 --> 00:04:56,080 Speaker 1: the problem of measuring gains is that it's really erratic 85 00:04:56,279 --> 00:04:59,560 Speaker 1: across the country. So you can't generalize. I don't even 86 00:04:59,600 --> 00:05:01,440 Speaker 1: need to men ginn Appalachia. I mean, that's been a 87 00:05:01,520 --> 00:05:04,960 Speaker 1: law has a very long history, uh, you know, of 88 00:05:05,080 --> 00:05:07,080 Speaker 1: suffering from poverty. I mean, at the time that the 89 00:05:07,120 --> 00:05:11,080 Speaker 1: Great Society was introduced by L. B. J. The Appalachian 90 00:05:11,080 --> 00:05:13,679 Speaker 1: region was suffering from four to six times the level 91 00:05:13,680 --> 00:05:17,280 Speaker 1: of unemploy employment you know, in any place in the country. Well, 92 00:05:17,320 --> 00:05:20,560 Speaker 1: to underscore what you're describing, media as part of the report, 93 00:05:20,640 --> 00:05:24,360 Speaker 1: media incomes did not budge significantly in rural areas, while 94 00:05:24,440 --> 00:05:27,520 Speaker 1: in cities they grew more than seven and the South 95 00:05:27,600 --> 00:05:31,599 Speaker 1: saw significantly weaker income growth than the West. Yeah, and 96 00:05:31,640 --> 00:05:34,159 Speaker 1: that's really important. I mean, one the focus of my 97 00:05:34,240 --> 00:05:37,560 Speaker 1: book is the problem of the rural economy. What we 98 00:05:37,640 --> 00:05:43,680 Speaker 1: tend to forget is that rural economies experience less social mobility. Um. 99 00:05:43,720 --> 00:05:46,200 Speaker 1: This is true even at the time of the American Revolution. 100 00:05:46,360 --> 00:05:49,400 Speaker 1: In fact, Great Britain had more social mobility because it 101 00:05:49,440 --> 00:05:52,599 Speaker 1: was a more commercial society than the colonies. And this 102 00:05:52,680 --> 00:05:55,800 Speaker 1: is true historically. So this is why we can't generalize 103 00:05:56,200 --> 00:06:00,000 Speaker 1: from urban to rural. Those are like vast differences economy. 104 00:06:00,040 --> 00:06:02,680 Speaker 1: Muckley and I think, you know, you know the other 105 00:06:02,720 --> 00:06:04,760 Speaker 1: thing that we have to keep focusing on. We gotta run, 106 00:06:04,760 --> 00:06:09,120 Speaker 1: We gotta run. Nancy Eisenberg, Professor of American History, author 107 00:06:09,240 --> 00:06:12,000 Speaker 1: of the new book White Trash, the four hundred year 108 00:06:12,000 --> 00:06:15,720 Speaker 1: old London story of class in America. This is Bloomberg