1 00:00:00,280 --> 00:00:04,000 Speaker 1: Mr Trump after we published a story putting his net 2 00:00:04,000 --> 00:00:06,280 Speaker 1: worth at two point nine billion, came out in in 3 00:00:06,360 --> 00:00:09,320 Speaker 1: the Daily Mail and he said I was a dope 4 00:00:09,400 --> 00:00:16,720 Speaker 1: kid and wet behind the years. This episode is brought 5 00:00:16,720 --> 00:00:20,200 Speaker 1: to you by Nadex, the Binary Options Exchange. Binary Options 6 00:00:20,280 --> 00:00:22,480 Speaker 1: let you limit your risk and trade stock in disese 7 00:00:22,480 --> 00:00:25,800 Speaker 1: commodities for x and more from a single account. Nat 8 00:00:25,960 --> 00:00:30,040 Speaker 1: X is a CFTC regulated exchange with transparency, free market data, 9 00:00:30,200 --> 00:00:33,640 Speaker 1: and fairness guaranteed. The future of trading is here now 10 00:00:33,840 --> 00:00:36,960 Speaker 1: at n A d e x dot com futures, options 11 00:00:36,960 --> 00:00:39,440 Speaker 1: and swaps. Trading involves risk and may not be appropriate 12 00:00:39,560 --> 00:00:47,600 Speaker 1: for all investors. Hi, and welcome back to Bloomberg benchmarkt 13 00:00:47,600 --> 00:00:51,120 Speaker 1: podcasts about the global economy. It is Thursday, November twelve, 14 00:00:51,200 --> 00:00:54,480 Speaker 1: and I'm Tory Stillwell, an economics reporter with Bloomberg News 15 00:00:54,480 --> 00:00:56,280 Speaker 1: in d C. And I'm joined this week by my 16 00:00:56,480 --> 00:01:00,000 Speaker 1: co host, Akiedo, our editor for Benchmark in San Francisco, 17 00:01:00,320 --> 00:01:03,160 Speaker 1: and Dan is taking the day off to prepare for 18 00:01:03,240 --> 00:01:05,039 Speaker 1: his big move to New York. So it's just me 19 00:01:05,080 --> 00:01:08,920 Speaker 1: and Ywauki. Tori, how's it going pretty good? Do you 20 00:01:08,920 --> 00:01:12,920 Speaker 1: want to tell everyone about your Hawaiian adventure. Oh my gosh. Yeah, 21 00:01:13,120 --> 00:01:16,800 Speaker 1: I almost called in from Hawaii today where I was 22 00:01:16,800 --> 00:01:21,000 Speaker 1: on vacation, but sadly, I'm now back in reality. While 23 00:01:21,040 --> 00:01:24,200 Speaker 1: you were in Hawaii, did you have a chance to 24 00:01:24,760 --> 00:01:30,039 Speaker 1: follow some of the riveting monetary policy proceedings that happened. 25 00:01:31,720 --> 00:01:36,760 Speaker 1: I did see this one which definitely surprised me. It went, 26 00:01:36,959 --> 00:01:42,840 Speaker 1: God wants Yellen to delay rate hike to spring, lawmaker says, um. 27 00:01:42,840 --> 00:01:46,680 Speaker 1: This was Brad Sherman, who is a California Democrat and 28 00:01:46,720 --> 00:01:50,560 Speaker 1: the House of Representatives, and it was at a congressional 29 00:01:50,680 --> 00:01:55,280 Speaker 1: hearing where lawmakers were asking Janet Yellen fed chair all 30 00:01:55,280 --> 00:01:59,280 Speaker 1: these questions. Let's play the tape. God's plan is not 31 00:01:59,480 --> 00:02:04,160 Speaker 1: for things to rise in the autumn a matter of fact, 32 00:02:04,160 --> 00:02:07,640 Speaker 1: that's why we call it fall. Nor is it God's 33 00:02:07,640 --> 00:02:11,079 Speaker 1: plan for things to rise in the winter through the snow. 34 00:02:12,160 --> 00:02:16,200 Speaker 1: God's plan is that things rise in the spring, and 35 00:02:16,240 --> 00:02:19,160 Speaker 1: so if you want to be good with the Almighty, 36 00:02:19,360 --> 00:02:25,800 Speaker 1: you might want to delay until May. Okay, So was 37 00:02:25,840 --> 00:02:30,280 Speaker 1: it the nuttiest thing you've ever heard in a congressional hearing? Yeah, No, 38 00:02:30,400 --> 00:02:32,560 Speaker 1: that was the best. I think that just that's just 39 00:02:32,600 --> 00:02:35,440 Speaker 1: like quote of the century in terms of monetary policy. 40 00:02:35,480 --> 00:02:38,760 Speaker 1: I don't know, maybe there are better quotes, but incredible. Yeah. 41 00:02:38,800 --> 00:02:41,640 Speaker 1: And we should also note that after the hearing, Brad 42 00:02:41,720 --> 00:02:45,560 Speaker 1: German went on Twitter and said, don't actually think God 43 00:02:45,639 --> 00:02:49,680 Speaker 1: has an opinion on monetary policy, but if she did, 44 00:02:50,040 --> 00:02:53,000 Speaker 1: she with a capital s she would agree that the 45 00:02:53,040 --> 00:02:57,480 Speaker 1: EFFENC shouldn't increase rates in winter. Yeah. I think next 46 00:02:57,480 --> 00:03:00,440 Speaker 1: time maybe we could make a sacrifice to a follow 47 00:03:00,600 --> 00:03:04,520 Speaker 1: or something like that, like get some other deities involved here, 48 00:03:04,560 --> 00:03:07,160 Speaker 1: you know what I'm saying, Get all the gods on 49 00:03:07,200 --> 00:03:10,120 Speaker 1: our side. Oh my gosh. Yeah. So the context of 50 00:03:10,160 --> 00:03:13,760 Speaker 1: this is that the Federal Reserve is about to raise 51 00:03:13,880 --> 00:03:16,919 Speaker 1: interest rates. A lot of people think that this interest 52 00:03:16,960 --> 00:03:19,960 Speaker 1: rate hike is going to come in December next month, 53 00:03:20,280 --> 00:03:24,000 Speaker 1: so uh, you know, yelling is starting to come under 54 00:03:24,040 --> 00:03:27,280 Speaker 1: pressure from a lot of lawmakers to delay that um 55 00:03:27,280 --> 00:03:30,080 Speaker 1: And that's not surprise, right, It's it's not every day 56 00:03:30,080 --> 00:03:35,560 Speaker 1: that monetary policy is involved in these divine discussions, But 57 00:03:35,680 --> 00:03:39,000 Speaker 1: it's no surprise at all that a lot of people 58 00:03:39,080 --> 00:03:42,120 Speaker 1: want interest rates to stay at zero forever. At the 59 00:03:42,160 --> 00:03:46,040 Speaker 1: same time, a lot of people are pushing for interest 60 00:03:46,160 --> 00:03:50,520 Speaker 1: rates to be hyped sooner rather than later, especially some 61 00:03:50,680 --> 00:03:54,680 Speaker 1: of the more conservative leaning legislators who think that the 62 00:03:54,680 --> 00:03:57,960 Speaker 1: FED is really playing with fire here and they got 63 00:03:58,000 --> 00:04:01,520 Speaker 1: a little bit more ammunition. Or I guess maybe God 64 00:04:01,520 --> 00:04:03,680 Speaker 1: has a little bit working against him or her. I 65 00:04:03,680 --> 00:04:07,800 Speaker 1: don't I don't know. But the job's report came in, uh, 66 00:04:08,000 --> 00:04:12,000 Speaker 1: pretty strong for October. Payrolls were the strongest this year 67 00:04:12,160 --> 00:04:16,120 Speaker 1: two one, and wages were up two point five percent 68 00:04:16,640 --> 00:04:19,120 Speaker 1: from the year before, and that is a clear break 69 00:04:19,360 --> 00:04:21,600 Speaker 1: from the wage worth pattern that we've seen since the 70 00:04:21,640 --> 00:04:25,520 Speaker 1: recovery started. Really great news there, and if the trend 71 00:04:25,560 --> 00:04:28,040 Speaker 1: of higher wages continues, that'd be great news because it 72 00:04:28,160 --> 00:04:31,039 Speaker 1: helped alleviate some of the increase in income inequality that 73 00:04:31,040 --> 00:04:33,400 Speaker 1: we've seen over the past few years. And you know, 74 00:04:33,440 --> 00:04:36,039 Speaker 1: we've been hearing a lot about income inequality. Angus Deton, 75 00:04:36,080 --> 00:04:38,320 Speaker 1: who we spoke with a couple of weeks back when 76 00:04:38,320 --> 00:04:40,760 Speaker 1: the Nobel Prize this year, after doing research on it. 77 00:04:41,040 --> 00:04:44,400 Speaker 1: Herschiko started it late last month as something that's actually 78 00:04:44,480 --> 00:04:47,480 Speaker 1: hurting their sales, and it seems like every US presidential 79 00:04:47,520 --> 00:04:50,360 Speaker 1: candidate is being asked what they do to fix it. 80 00:04:50,560 --> 00:04:53,159 Speaker 1: Tori on the show, we've talked about average wages, we've 81 00:04:53,200 --> 00:04:57,000 Speaker 1: talked about median wages, but we haven't really talked about 82 00:04:57,000 --> 00:04:59,400 Speaker 1: the fact that the fates for the rich and the 83 00:04:59,440 --> 00:05:02,120 Speaker 1: poor the book, who are on opposite ends of the spectrum, 84 00:05:02,160 --> 00:05:06,640 Speaker 1: have been really different in how they're diversion. So hopefully 85 00:05:06,760 --> 00:05:09,680 Speaker 1: for today's episode, we'll be able to talk about what 86 00:05:09,720 --> 00:05:13,039 Speaker 1: it takes to be rich in America. Today. Well, let's 87 00:05:13,120 --> 00:05:16,839 Speaker 1: talk a little bit more about these income tears for 88 00:05:17,080 --> 00:05:20,880 Speaker 1: the quote rich and the quote core. Uh, let's break 89 00:05:20,880 --> 00:05:23,560 Speaker 1: those down a little bit. And we talked to our 90 00:05:24,080 --> 00:05:27,440 Speaker 1: data guru, Waylu. She's based in New York and crunches 91 00:05:27,920 --> 00:05:31,080 Speaker 1: just incredible amounts of census data for us. She's just 92 00:05:31,120 --> 00:05:35,640 Speaker 1: amazing at it. And she told me that Bloomberg generally 93 00:05:35,680 --> 00:05:41,200 Speaker 1: defines riches the top twenty of incomes and inteen you 94 00:05:41,279 --> 00:05:43,800 Speaker 1: were by that definition, you were rich if you made 95 00:05:43,800 --> 00:05:46,560 Speaker 1: a little over a hundred and twelve thousand dollars, if 96 00:05:46,600 --> 00:05:50,760 Speaker 1: that's what your household income was. By contrast, the bottom 97 00:05:50,839 --> 00:05:54,320 Speaker 1: twenty percent, you're in that bottom twenty if you your 98 00:05:54,400 --> 00:05:57,920 Speaker 1: household made about twenty one five hundred dollars. So there's 99 00:05:57,960 --> 00:06:02,000 Speaker 1: about a one hundred thousand dollar different, right, It's pretty big, 100 00:06:02,040 --> 00:06:05,080 Speaker 1: and poverty at the way low end of the spectrum. 101 00:06:05,120 --> 00:06:08,039 Speaker 1: A single person is living in poverty if they make 102 00:06:08,080 --> 00:06:11,760 Speaker 1: about eleven thousand, seven hundred seventy dollars or less a year. 103 00:06:11,920 --> 00:06:14,600 Speaker 1: So I feel like that's really low for the poverty line. 104 00:06:14,640 --> 00:06:18,039 Speaker 1: I mean eleven thousand dollars a year. It depends on 105 00:06:18,080 --> 00:06:20,200 Speaker 1: how many people are living in the household. To the 106 00:06:20,240 --> 00:06:24,240 Speaker 1: more people you have, the threshold gets a little higher. Um. 107 00:06:24,279 --> 00:06:27,159 Speaker 1: But yeah, it's it's mind blowing that someone could could 108 00:06:27,240 --> 00:06:30,640 Speaker 1: survive on that limited amount of money, you know, Tori. 109 00:06:31,200 --> 00:06:34,440 Speaker 1: Why does it matter if the rich are earning a 110 00:06:34,480 --> 00:06:36,760 Speaker 1: bigger share of the pie the way they have been 111 00:06:36,880 --> 00:06:38,919 Speaker 1: over the last twenty years. I mean, if the pie 112 00:06:38,920 --> 00:06:42,919 Speaker 1: is getting bigger and on average people are earning more, 113 00:06:43,120 --> 00:06:46,440 Speaker 1: doesn't really matter if some people are taking more and 114 00:06:46,480 --> 00:06:50,240 Speaker 1: more of the pie than others. I think the main 115 00:06:50,440 --> 00:06:53,320 Speaker 1: reason people are concerned about it is because we know 116 00:06:53,680 --> 00:06:58,600 Speaker 1: that poor people spend a much larger proportion of their 117 00:06:58,680 --> 00:07:02,120 Speaker 1: incomes in their paychecks than rich people do. And to 118 00:07:02,240 --> 00:07:06,359 Speaker 1: kind of illustrate this, I have some data, of course, um, 119 00:07:06,360 --> 00:07:08,640 Speaker 1: and it's it's actually kind of striking. The first time 120 00:07:08,680 --> 00:07:11,040 Speaker 1: I looked at it, I got it mixed up. Because 121 00:07:11,120 --> 00:07:14,120 Speaker 1: the numbers are so crazy. But so for the lowest 122 00:07:14,320 --> 00:07:19,600 Speaker 1: twenty percentile of income, their income before taxes was about 123 00:07:19,680 --> 00:07:24,200 Speaker 1: ten thousand dollars in the year ended June. This is 124 00:07:24,200 --> 00:07:27,040 Speaker 1: coming from the Bureau of Labor Statistics, about ten thousand dollars. 125 00:07:27,080 --> 00:07:31,120 Speaker 1: Think of that, their average annual expenditures for that same 126 00:07:31,160 --> 00:07:35,160 Speaker 1: amount of time was about twenty three thousand dollars. So 127 00:07:35,200 --> 00:07:37,559 Speaker 1: they're going in like huge amounts of debt here based 128 00:07:37,560 --> 00:07:42,040 Speaker 1: on their income UM. By contrast, the highest twentieth percentile, 129 00:07:42,760 --> 00:07:46,320 Speaker 1: their income before taxes is about a hundred sixty six thousand, 130 00:07:46,400 --> 00:07:49,520 Speaker 1: and they're spending about a hundred and one thousand UM, 131 00:07:49,560 --> 00:07:53,400 Speaker 1: so much smaller sharing. So they're just they're just not 132 00:07:53,440 --> 00:07:57,400 Speaker 1: spending as much, right, and they spend on totally different 133 00:07:57,440 --> 00:08:01,240 Speaker 1: things um. Where people often spend much more money on 134 00:08:01,360 --> 00:08:05,040 Speaker 1: food and housing, whereas wealthier people will funnel a lot 135 00:08:05,040 --> 00:08:08,520 Speaker 1: more money into things like pensions and insurance UM. So 136 00:08:08,640 --> 00:08:11,240 Speaker 1: a lot of economists have talked about this as a 137 00:08:11,280 --> 00:08:14,360 Speaker 1: reason as to why the recovery may have been so weak, 138 00:08:15,160 --> 00:08:18,840 Speaker 1: because we've got, you know, this concentration of wealth and 139 00:08:19,000 --> 00:08:22,880 Speaker 1: these people aren't spending it as much as I should say, right, 140 00:08:23,320 --> 00:08:27,600 Speaker 1: so there's normal person rich and then there's rich person rich, 141 00:08:28,480 --> 00:08:32,040 Speaker 1: which is kind of that seems like an alien universe 142 00:08:32,080 --> 00:08:33,719 Speaker 1: to me. But do you want to go over those 143 00:08:33,800 --> 00:08:37,680 Speaker 1: numbers too waylou Again, our data guru told me that 144 00:08:37,880 --> 00:08:40,320 Speaker 1: that super rich is going to be like the top 145 00:08:40,400 --> 00:08:44,600 Speaker 1: five percent of household incomes and that was about a 146 00:08:44,640 --> 00:08:49,319 Speaker 1: little over two hundred and six thousand dollars for a household. 147 00:08:49,720 --> 00:08:51,960 Speaker 1: The ultra rich is going to be like the top 148 00:08:52,120 --> 00:08:55,000 Speaker 1: one percent. And for that data, I am going over 149 00:08:55,120 --> 00:08:57,880 Speaker 1: to UH to E p I. They wrote this big, 150 00:08:57,920 --> 00:09:01,000 Speaker 1: big report at the start of the year UM looking 151 00:09:01,040 --> 00:09:05,800 Speaker 1: at income inequality trends for for decades. For the US, 152 00:09:06,200 --> 00:09:09,720 Speaker 1: the average income of the top one percent was about 153 00:09:09,720 --> 00:09:13,520 Speaker 1: one point three million dollars. If we want to think 154 00:09:13,600 --> 00:09:16,360 Speaker 1: like out of your mind rich, like stupid amount of 155 00:09:16,400 --> 00:09:21,960 Speaker 1: money wrenching. Uh. The threshold there, the income threshold of 156 00:09:22,000 --> 00:09:25,640 Speaker 1: the top point zero one person is nine point nine 157 00:09:25,840 --> 00:09:28,680 Speaker 1: million dollars. Uh. We're gonna take a quick break for 158 00:09:28,720 --> 00:09:30,880 Speaker 1: a word from our sponsor, but when we come back, 159 00:09:31,040 --> 00:09:33,320 Speaker 1: we will try to add some color to all these 160 00:09:33,400 --> 00:09:35,959 Speaker 1: numbers that I just spouted off. You know, we want 161 00:09:35,960 --> 00:09:38,599 Speaker 1: to attach real people to them, and why we plebeians 162 00:09:38,640 --> 00:09:44,480 Speaker 1: would even care after the break? What do traders want 163 00:09:44,920 --> 00:09:47,720 Speaker 1: to limit risk? Access every opportunity and trade on a 164 00:09:47,800 --> 00:09:50,680 Speaker 1: level playing field. Nate x binary options let you set 165 00:09:50,720 --> 00:09:53,120 Speaker 1: your maximum profit and loss before the trade, so your 166 00:09:53,200 --> 00:09:56,679 Speaker 1: risk is always limited. Find opportunities in multiple markets, stock 167 00:09:56,720 --> 00:10:00,600 Speaker 1: in dissees, commodities, forks, even economic numbers, and bitcoin, all 168 00:10:00,640 --> 00:10:04,600 Speaker 1: from one account and platform. Natix is a CSTC regulated 169 00:10:04,640 --> 00:10:09,360 Speaker 1: exchange with transparency, free market data and fairness guaranteed innovations 170 00:10:09,360 --> 00:10:12,719 Speaker 1: of financial industry needs and nat X already has. That's 171 00:10:12,720 --> 00:10:15,240 Speaker 1: why we think binary options are the future of trading, 172 00:10:15,760 --> 00:10:17,840 Speaker 1: and it's here now at n A d e X, 173 00:10:17,960 --> 00:10:21,080 Speaker 1: dot com, futures options and swaps. Trading involves risk and 174 00:10:21,080 --> 00:10:26,839 Speaker 1: may not be appropriate for all investors. To find out 175 00:10:26,880 --> 00:10:29,200 Speaker 1: a little more what these people are like, like what 176 00:10:29,360 --> 00:10:33,600 Speaker 1: kind of lifestyles they must have. We've drafted Caleb Melby, 177 00:10:33,760 --> 00:10:37,480 Speaker 1: a reporter for our executive pay team whose main job 178 00:10:37,520 --> 00:10:39,319 Speaker 1: it is to try to figure out how much money 179 00:10:39,320 --> 00:10:41,800 Speaker 1: people are making. And before he was with us here 180 00:10:41,800 --> 00:10:44,360 Speaker 1: at Bloomberg, he was a reporter at Forbes, where he 181 00:10:44,400 --> 00:10:46,680 Speaker 1: got the license to run around the country hunting for 182 00:10:46,840 --> 00:10:50,160 Speaker 1: hidden billionaires, which he also does here, and before that 183 00:10:50,200 --> 00:10:52,560 Speaker 1: he was an intern in New York living in the 184 00:10:52,600 --> 00:10:56,640 Speaker 1: same dorm as me. Hello, Caleb, what what are these 185 00:10:56,679 --> 00:10:59,680 Speaker 1: people like? Hey? I mean it was interesting listening you 186 00:10:59,720 --> 00:11:03,080 Speaker 1: talk about that, that that top tier, that that million 187 00:11:03,600 --> 00:11:07,080 Speaker 1: what was a million and a half? Is that what 188 00:11:07,120 --> 00:11:10,280 Speaker 1: you're thinking about? Yeah, So, so to give you an idea, 189 00:11:10,480 --> 00:11:14,679 Speaker 1: like how much farther beyond that percentage point, uh you 190 00:11:14,720 --> 00:11:17,840 Speaker 1: can go? I mean, uh, at at the Bloomberg Pay Index, 191 00:11:17,920 --> 00:11:22,200 Speaker 1: we're tracking uh the two d highest paid people and uh, 192 00:11:22,240 --> 00:11:25,800 Speaker 1: they're they're making each of them upwards of twenty million 193 00:11:25,880 --> 00:11:28,439 Speaker 1: dollars a year. And when you were talking earlier about 194 00:11:28,440 --> 00:11:31,679 Speaker 1: how they spend that money on different things, they're they're 195 00:11:31,720 --> 00:11:35,360 Speaker 1: point in pensions, they're pointing in in insurance. I mean 196 00:11:35,440 --> 00:11:38,520 Speaker 1: that's simply because it's really hard to try to figure 197 00:11:38,559 --> 00:11:41,120 Speaker 1: out how to spend all that money, and a lot 198 00:11:41,160 --> 00:11:44,680 Speaker 1: of them really defer it and often in uh tax 199 00:11:44,760 --> 00:11:49,080 Speaker 1: advantaged ways, um sock it away for the future. I 200 00:11:49,080 --> 00:11:51,000 Speaker 1: feel like it is not that hard for me to 201 00:11:51,320 --> 00:11:54,600 Speaker 1: figure out how to spend a couple of million dollars UM. 202 00:11:54,720 --> 00:12:00,520 Speaker 1: So I don't want to sound too sympathetic, No, I 203 00:12:00,800 --> 00:12:03,480 Speaker 1: don't mean mean to be uh to ask you to 204 00:12:03,840 --> 00:12:07,360 Speaker 1: feel an overwhelming amount of empathy for them. These are 205 00:12:07,520 --> 00:12:11,800 Speaker 1: very specialized problems. I was I was in one billionaire's 206 00:12:11,800 --> 00:12:14,600 Speaker 1: apartment about a month ago, and I won't to tell 207 00:12:14,640 --> 00:12:17,120 Speaker 1: you who it was, but he was he was obsessed, 208 00:12:17,800 --> 00:12:19,480 Speaker 1: um with trying to figure out how to pass his 209 00:12:19,520 --> 00:12:24,320 Speaker 1: international company onto his heirs in this tax efficient way. 210 00:12:24,600 --> 00:12:26,560 Speaker 1: And that's one of those things that you really see 211 00:12:26,600 --> 00:12:30,679 Speaker 1: occupying their thoughts. Your your your normal person is trying 212 00:12:30,720 --> 00:12:32,800 Speaker 1: to figure out how to stock away enough for retirement 213 00:12:33,040 --> 00:12:36,000 Speaker 1: and and for them, it's how do I take everything 214 00:12:36,040 --> 00:12:40,320 Speaker 1: I've sucked away and pass it on to the next 215 00:12:40,400 --> 00:12:45,200 Speaker 1: generation of familial ownership. How many billionaires have you met 216 00:12:45,200 --> 00:12:48,920 Speaker 1: in your life? Uh? You know I I've been to 217 00:12:49,000 --> 00:12:53,440 Speaker 1: conferences where there's there's dozens of them. So at this point, 218 00:12:53,520 --> 00:12:58,839 Speaker 1: your who's my favorite? There's a really colorful character out 219 00:12:58,840 --> 00:13:01,560 Speaker 1: in Brooklyn. His name is David will lent Us. He 220 00:13:01,800 --> 00:13:06,600 Speaker 1: essentially built the neighborhood of Dumbo, this uh chic industrial 221 00:13:06,720 --> 00:13:12,840 Speaker 1: neighborhood right on the water. And he's this really crass, funny, 222 00:13:13,320 --> 00:13:16,320 Speaker 1: brash guy. Who who Who's the first to admit that 223 00:13:16,360 --> 00:13:19,160 Speaker 1: you do not have to be a genius to make 224 00:13:19,240 --> 00:13:22,000 Speaker 1: it in real estate. And I find I find his 225 00:13:22,080 --> 00:13:28,200 Speaker 1: honesty very very um exciting and new, and as far 226 00:13:28,240 --> 00:13:30,120 Speaker 1: as billionaires go, he's the sort of guy you can 227 00:13:30,200 --> 00:13:32,560 Speaker 1: talk to and don't feel like you're talking to an alien. 228 00:13:34,360 --> 00:13:36,439 Speaker 1: Tell us more about your job, what do you do 229 00:13:36,480 --> 00:13:39,160 Speaker 1: every day? More often than now we are we are 230 00:13:39,280 --> 00:13:43,640 Speaker 1: not meeting executives. We are not meeting billionaires. That's not 231 00:13:43,679 --> 00:13:45,480 Speaker 1: what our day and day out looks like. It does 232 00:13:45,559 --> 00:13:49,440 Speaker 1: happen sometimes, and and that's that's fun. But normally people 233 00:13:49,679 --> 00:13:54,040 Speaker 1: are not particularly interested unless you're talking about, say Donald Trump, 234 00:13:54,520 --> 00:13:57,360 Speaker 1: uh in talking about what they make or how much 235 00:13:57,400 --> 00:13:59,680 Speaker 1: they're worth. So we spend a lot of our time 236 00:13:59,720 --> 00:14:05,640 Speaker 1: talking into off the record sources, former employees, insiders, going 237 00:14:05,679 --> 00:14:10,439 Speaker 1: through documents, making Foyer requests to the government to unseal 238 00:14:10,559 --> 00:14:13,880 Speaker 1: certain documents or acquire certain documents that help shed light 239 00:14:13,960 --> 00:14:17,200 Speaker 1: on these massive fortunes that are at the center of 240 00:14:17,880 --> 00:14:21,800 Speaker 1: you know, the world economy. You've met Donald Trump, right, yeah, 241 00:14:21,800 --> 00:14:24,720 Speaker 1: a few times now, and he's called you what was what? 242 00:14:24,960 --> 00:14:28,640 Speaker 1: What was that that he called you Donald after we 243 00:14:28,720 --> 00:14:36,400 Speaker 1: published a story, said Donald, Mr Trump, after we published 244 00:14:36,400 --> 00:14:39,000 Speaker 1: a story putting his net worth at two point nine 245 00:14:39,040 --> 00:14:41,760 Speaker 1: billion came out in in the Daily Mail, and he, 246 00:14:42,160 --> 00:14:44,560 Speaker 1: according to the Daily Mail story, said I was a 247 00:14:44,600 --> 00:14:50,440 Speaker 1: dopey kid and wet behind the ears. Sounds that right, Yeah, 248 00:14:51,320 --> 00:14:54,920 Speaker 1: he's He's not not a guy who who takes slights 249 00:14:55,040 --> 00:14:58,920 Speaker 1: light lightly. By the way, how much what is Donald 250 00:14:58,960 --> 00:15:03,480 Speaker 1: Trump's network earth compared to the approximately ten billion that 251 00:15:03,560 --> 00:15:07,680 Speaker 1: he has self reported to the media, So we we 252 00:15:07,760 --> 00:15:11,000 Speaker 1: put him at two point nine billion as opposed to 253 00:15:11,040 --> 00:15:13,760 Speaker 1: that ten billion, and uh, one really big way to 254 00:15:13,800 --> 00:15:15,960 Speaker 1: account for a large part of that gap is the 255 00:15:16,000 --> 00:15:19,520 Speaker 1: three point three billion he ascribes to his brand value 256 00:15:19,640 --> 00:15:24,840 Speaker 1: that he considers like it a line item all onto itself, um, 257 00:15:24,920 --> 00:15:28,520 Speaker 1: which is certainly a really special asset to have. And 258 00:15:28,560 --> 00:15:31,440 Speaker 1: when we talked to experts, we uh they said that 259 00:15:31,520 --> 00:15:34,440 Speaker 1: for like his uh, you know, collection of golf courses, 260 00:15:34,480 --> 00:15:37,920 Speaker 1: there is a Trump premium. It means something to play 261 00:15:38,200 --> 00:15:41,120 Speaker 1: golf on a on a Trump course, and and that 262 00:15:41,120 --> 00:15:44,040 Speaker 1: that's applied to our valuation of those golf courses. But 263 00:15:44,840 --> 00:15:48,080 Speaker 1: when you look at certain things like say Trump Tower 264 00:15:48,160 --> 00:15:50,160 Speaker 1: here in New York, a lot of that is condos 265 00:15:50,200 --> 00:15:52,760 Speaker 1: that he's since sold off long ago. So you see 266 00:15:52,800 --> 00:15:55,320 Speaker 1: that huge skyscraper you assume it has to be worth 267 00:15:55,320 --> 00:15:58,000 Speaker 1: a lot of money, and it is, but there's actually 268 00:15:58,040 --> 00:16:02,160 Speaker 1: hundreds of other people that have sentach chunks of what 269 00:16:02,160 --> 00:16:05,040 Speaker 1: what a skyscraper like that is worth? And what would 270 00:16:05,080 --> 00:16:11,320 Speaker 1: you say that your brand value is, Caleb, my my 271 00:16:11,360 --> 00:16:19,640 Speaker 1: brand value is? I mean, can I get a Chipotle burrito? Yeah? Man, 272 00:16:19,680 --> 00:16:22,880 Speaker 1: after my own heart. So, Caleb, you and I have 273 00:16:22,960 --> 00:16:25,800 Speaker 1: talked about this a little a little bit last week, 274 00:16:25,840 --> 00:16:28,960 Speaker 1: but I was chatting with a friend and he actually 275 00:16:29,000 --> 00:16:32,680 Speaker 1: got a little a little hot and bothered because some 276 00:16:32,760 --> 00:16:36,840 Speaker 1: of your colleagues, all of our colleagues, broke this news 277 00:16:36,920 --> 00:16:41,680 Speaker 1: about a Walmart air being twenty seven billion dollars poor 278 00:16:41,800 --> 00:16:45,600 Speaker 1: than everyone else thought. And he was mad because he 279 00:16:45,800 --> 00:16:48,520 Speaker 1: basically said, I mean the like the cliff Notes version 280 00:16:48,600 --> 00:16:52,880 Speaker 1: is we're being nosy. Why does it matter they're still billionaires? 281 00:16:53,440 --> 00:16:56,480 Speaker 1: And why would we like splash this all over the 282 00:16:56,520 --> 00:17:00,120 Speaker 1: front page of our website? So rude, et cetera. Um, 283 00:17:00,160 --> 00:17:04,560 Speaker 1: there's no journalistic value in this. What is the journalistic value? 284 00:17:05,040 --> 00:17:07,439 Speaker 1: It's a fair question. And is somebody who when he 285 00:17:07,520 --> 00:17:10,359 Speaker 1: was in college imagined he'd be writing album reviews his 286 00:17:10,440 --> 00:17:14,480 Speaker 1: whole life? Uh? I like, I I definitely sympathize with him. 287 00:17:14,520 --> 00:17:18,199 Speaker 1: But the report that David DeYoung and Tom Metcalf put 288 00:17:18,240 --> 00:17:22,240 Speaker 1: out on Christie Walton and her son Lucas Walton, I 289 00:17:22,359 --> 00:17:25,280 Speaker 1: encourage anybody to go out and read it. And the 290 00:17:25,400 --> 00:17:28,280 Speaker 1: question as to what news value this has, I think 291 00:17:28,320 --> 00:17:32,280 Speaker 1: becomes once you get past that headline number pretty relevant. 292 00:17:32,359 --> 00:17:35,240 Speaker 1: I mean, you have this family that controls what is 293 00:17:35,280 --> 00:17:39,480 Speaker 1: currently I believe, like the third the second biggest company 294 00:17:39,480 --> 00:17:43,640 Speaker 1: in America UM, and how they divvy up that fortune 295 00:17:43,640 --> 00:17:45,600 Speaker 1: and how they control it, and in turn, how they 296 00:17:45,640 --> 00:17:50,760 Speaker 1: control Walmart Company, I think is inherently newsworthy. And as 297 00:17:50,760 --> 00:17:53,440 Speaker 1: you dig farther into that story, what David and Tom 298 00:17:53,520 --> 00:17:59,760 Speaker 1: uncovered was this fascinating estate structure that helped UH John Walton, 299 00:18:00,040 --> 00:18:04,080 Speaker 1: Christie's UH now deceased husband, essentially cut his tax bill 300 00:18:04,160 --> 00:18:07,920 Speaker 1: in half. So when we're talking about policy in terms 301 00:18:07,920 --> 00:18:09,960 Speaker 1: of income inequality, we we need to look at the 302 00:18:10,000 --> 00:18:12,840 Speaker 1: decisions we've already made as a nation in terms of 303 00:18:12,960 --> 00:18:16,920 Speaker 1: the options available to the super rich for passing these 304 00:18:16,920 --> 00:18:19,840 Speaker 1: fortunes on. You know, because one, once you you move 305 00:18:19,920 --> 00:18:24,800 Speaker 1: past that five million estate threshold, big taxes start to 306 00:18:24,840 --> 00:18:27,159 Speaker 1: kick in, and yet we still have all these loopholes. 307 00:18:27,240 --> 00:18:29,720 Speaker 1: And I think if you droll into that story, beyond 308 00:18:29,720 --> 00:18:32,760 Speaker 1: the fact that there's this guy who nobody has really 309 00:18:32,800 --> 00:18:35,680 Speaker 1: ever heard of or talked about, Lucas Walton, who has 310 00:18:35,800 --> 00:18:38,320 Speaker 1: most of what we thought was his mother Christie's fortune, 311 00:18:38,480 --> 00:18:41,639 Speaker 1: what you see is this really interesting passing of the 312 00:18:41,640 --> 00:18:44,199 Speaker 1: torch that helped avoid a lot of taxes for the 313 00:18:44,200 --> 00:18:47,160 Speaker 1: Walton family. You know, I think this really comes down 314 00:18:47,200 --> 00:18:51,440 Speaker 1: to the fact that it's really hard to know how 315 00:18:51,560 --> 00:18:55,280 Speaker 1: much everyone's wealth is. You know, wealth is different from income. 316 00:18:55,320 --> 00:18:57,840 Speaker 1: Income is what you make every year, but wealth is 317 00:18:57,920 --> 00:19:01,000 Speaker 1: the amount of money that you accumulated over a lifetime. 318 00:19:01,040 --> 00:19:05,280 Speaker 1: It's all over the place, often in multiple countries if 319 00:19:05,320 --> 00:19:09,359 Speaker 1: you're a rich person, the way many of Caleb subjects are, 320 00:19:09,520 --> 00:19:13,520 Speaker 1: and so it's really it's it's not a very transparent universe. 321 00:19:13,520 --> 00:19:15,920 Speaker 1: That's why I think your team, Caleb is really cool, 322 00:19:15,960 --> 00:19:20,080 Speaker 1: because you're bringing more transparency to this space. Yeah, and 323 00:19:20,960 --> 00:19:23,360 Speaker 1: I mean we I've talked to readers about our stories before, 324 00:19:23,400 --> 00:19:25,800 Speaker 1: and some of them are just interested in those big numbers. 325 00:19:25,800 --> 00:19:28,919 Speaker 1: Some of them are interested in those entrepreneurial stories. Some 326 00:19:29,000 --> 00:19:33,080 Speaker 1: of them are interested in those, uh, the tax strategies, 327 00:19:33,680 --> 00:19:36,959 Speaker 1: the way they allocate that wealth like you were describing Aki, 328 00:19:37,280 --> 00:19:39,199 Speaker 1: and probably for our readers, like keeping up with the 329 00:19:39,320 --> 00:19:42,640 Speaker 1: Jones is to like how close am I think? Absolutely? 330 00:19:42,680 --> 00:19:46,240 Speaker 1: How how close am I I could be them? Um? 331 00:19:46,440 --> 00:19:50,159 Speaker 1: If you dig into any major wealth story, there's almost 332 00:19:50,240 --> 00:19:53,080 Speaker 1: always some element of luck, which I think keeps us 333 00:19:53,119 --> 00:19:55,800 Speaker 1: all reading because we always hope that maybe we could 334 00:19:55,920 --> 00:19:59,040 Speaker 1: have that. Especially in the era of tech startups with 335 00:19:59,560 --> 00:20:02,040 Speaker 1: Unicorn and valuations, we're all kind of hoping that we 336 00:20:02,080 --> 00:20:04,880 Speaker 1: have that next billion dollar idea, right. But I feel 337 00:20:04,920 --> 00:20:08,880 Speaker 1: like in today's society, if anything, people feel like they're 338 00:20:08,920 --> 00:20:12,360 Speaker 1: even farther away from that goal of becoming rich than 339 00:20:12,840 --> 00:20:15,320 Speaker 1: I don't know, maybe people fifty years ago. I feel 340 00:20:15,320 --> 00:20:18,360 Speaker 1: like that sense of the American dream really went down 341 00:20:18,359 --> 00:20:22,080 Speaker 1: the toilet in two thousand eight. Yeah, I get that 342 00:20:22,160 --> 00:20:25,720 Speaker 1: sense too. But what what? What's interesting, only only ever 343 00:20:25,840 --> 00:20:28,280 Speaker 1: having done this beat post two thousand and eight, is 344 00:20:28,359 --> 00:20:32,280 Speaker 1: that um hunger for these these stories hasn't gone away 345 00:20:32,320 --> 00:20:36,200 Speaker 1: for one reason or another. UM either because it feels 346 00:20:36,280 --> 00:20:39,159 Speaker 1: so far away and so foreign, almost like it's a 347 00:20:39,160 --> 00:20:41,920 Speaker 1: fairy tale. Maybe that's the case, or maybe there's something 348 00:20:41,960 --> 00:20:45,600 Speaker 1: aspirational in it, but readers keep on keep on company 349 00:20:45,680 --> 00:20:49,200 Speaker 1: these stories and droves. Well, here's hoping that we all 350 00:20:49,280 --> 00:20:52,960 Speaker 1: have the luck to be millionaires and billionaires one day. 351 00:20:53,160 --> 00:20:55,480 Speaker 1: Or Caleb, if you're the one who makes it, that 352 00:20:55,520 --> 00:20:59,359 Speaker 1: you share some with me. I have preferably in chili potel. 353 00:21:01,760 --> 00:21:04,600 Speaker 1: I have some ideas right now. If Mark Andreason is listening, 354 00:21:04,680 --> 00:21:10,760 Speaker 1: I'd love to pitch him. Thanks again for listening to 355 00:21:10,800 --> 00:21:14,400 Speaker 1: Bloomberg Benchmark will be back again next week. Until then, 356 00:21:14,480 --> 00:21:16,720 Speaker 1: you can find us on the Bloomberg terminal and on 357 00:21:16,840 --> 00:21:20,040 Speaker 1: Bloomberg dot com, as well as on iTunes, pocket cast, 358 00:21:20,160 --> 00:21:24,000 Speaker 1: did your Google Play and all those great platforms. And 359 00:21:24,040 --> 00:21:26,119 Speaker 1: while you're there, please take a minute to rate and 360 00:21:26,240 --> 00:21:29,480 Speaker 1: review the show so more listeners can find us and 361 00:21:29,560 --> 00:21:31,119 Speaker 1: let us know what you thought of the show. You 362 00:21:31,160 --> 00:21:33,680 Speaker 1: can talk to and follow us on Twitter at at 363 00:21:33,720 --> 00:21:38,639 Speaker 1: Tori Stillwell at A seven and for our very special guest, 364 00:21:38,720 --> 00:21:49,640 Speaker 1: Caleb at Caleb Melby. See you next week. This episode 365 00:21:49,680 --> 00:21:51,760 Speaker 1: was brought to you by nat X. You know, any 366 00:21:51,800 --> 00:21:53,840 Speaker 1: long term investment is going to go through short term 367 00:21:53,880 --> 00:21:57,119 Speaker 1: dips and price fluctuations. Nat X binary options that you 368 00:21:57,160 --> 00:22:00,959 Speaker 1: turn those short term movements into trading opportunities. 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