1 00:00:00,520 --> 00:00:02,920 Speaker 1: In recent years, one of the most successful Wall Street 2 00:00:02,960 --> 00:00:06,200 Speaker 1: investors has been Bill Ackman. He's built Pershing Square into 3 00:00:06,240 --> 00:00:08,360 Speaker 1: one of the most successful and listened to firms in 4 00:00:08,400 --> 00:00:10,799 Speaker 1: all of Wall Street. But he's also been outspoken in 5 00:00:10,800 --> 00:00:14,239 Speaker 1: a number of other areas, including philanthropy and politics. I 6 00:00:14,280 --> 00:00:15,840 Speaker 1: had a chance to sit down with Bill in his 7 00:00:15,880 --> 00:00:18,880 Speaker 1: office recently to talk about a variety of issues, including 8 00:00:18,880 --> 00:00:24,000 Speaker 1: his latest bet on where the economy is going. There 9 00:00:24,040 --> 00:00:26,239 Speaker 1: is a general consensus in the United States in some 10 00:00:26,280 --> 00:00:29,680 Speaker 1: circles that we probably have avoided a recession for the 11 00:00:29,720 --> 00:00:32,360 Speaker 1: near future. We're going to have a so called soft landing. 12 00:00:32,560 --> 00:00:35,000 Speaker 1: That's the consensus. Is that your view as well? 13 00:00:35,840 --> 00:00:37,959 Speaker 2: I think it's really hard to predict. I do think 14 00:00:38,000 --> 00:00:41,559 Speaker 2: the economy is weakening. We're seeing evidence of that in 15 00:00:41,560 --> 00:00:45,159 Speaker 2: some of our companies. You're seeing and I have some concerns. 16 00:00:46,080 --> 00:00:48,640 Speaker 2: There's been a huge subsidy in terms of low interest 17 00:00:48,720 --> 00:00:53,599 Speaker 2: rates and companies. Most companies fix their rates or their 18 00:00:53,640 --> 00:00:57,360 Speaker 2: debt at very low rates, and certainly real estate investors 19 00:00:57,360 --> 00:01:00,000 Speaker 2: did the same. And that works until it doesn't work, 20 00:01:00,080 --> 00:01:02,360 Speaker 2: And so I think we're what's going to be interesting 21 00:01:02,400 --> 00:01:04,480 Speaker 2: is to see what happens when people get have to 22 00:01:04,520 --> 00:01:06,840 Speaker 2: reprice their debt, and I think that can have sort 23 00:01:06,840 --> 00:01:09,119 Speaker 2: of a cliff like effect, and you're certainly seeing that 24 00:01:09,880 --> 00:01:11,360 Speaker 2: in real estate now. 25 00:01:11,440 --> 00:01:14,000 Speaker 1: The markets are assuming, and the markets are not always right, 26 00:01:14,040 --> 00:01:15,720 Speaker 1: but the markets are assuming that there's going to be 27 00:01:15,760 --> 00:01:20,039 Speaker 1: a FED discount cut sometime next year. As we talk 28 00:01:20,120 --> 00:01:23,199 Speaker 1: now just about the end of November. It's not clear 29 00:01:23,200 --> 00:01:25,720 Speaker 1: what the Fed will do. But some people say that 30 00:01:25,760 --> 00:01:28,280 Speaker 1: the Fed, if they were to cut interest rates next year, 31 00:01:28,560 --> 00:01:31,360 Speaker 1: would help the Democrats and therefore be seen as very political. 32 00:01:31,560 --> 00:01:33,440 Speaker 1: The other hand, some people say the Fed can't wait 33 00:01:33,480 --> 00:01:36,479 Speaker 1: till after the election because the economy might need a stimulus. 34 00:01:36,520 --> 00:01:37,920 Speaker 1: So you have a view on what the FED is 35 00:01:38,000 --> 00:01:38,440 Speaker 1: likely to do. 36 00:01:38,680 --> 00:01:40,640 Speaker 2: I think they're going to cut rates, and you know, 37 00:01:40,680 --> 00:01:42,760 Speaker 2: I think they're going to cut rates sooner than people expect, 38 00:01:43,200 --> 00:01:46,039 Speaker 2: because you know, what's happening is the real rate of 39 00:01:46,040 --> 00:01:50,120 Speaker 2: interest ultimately, which is what impacts the economy, keeps increasing 40 00:01:50,160 --> 00:01:52,720 Speaker 2: as inflation declines. Right, So if the FED keeps rates 41 00:01:52,760 --> 00:01:56,920 Speaker 2: in the sort of middle fives and inflation is trending 42 00:01:56,960 --> 00:01:59,600 Speaker 2: below three percent or you know, that's a very high 43 00:01:59,600 --> 00:02:01,920 Speaker 2: real rate of interest, and I think that is having 44 00:02:01,920 --> 00:02:04,760 Speaker 2: a sort of retarding effect on the economy. And then 45 00:02:04,760 --> 00:02:08,519 Speaker 2: of course, again, you know, many businesses and certainly many 46 00:02:08,720 --> 00:02:11,920 Speaker 2: individuals have the benefit of fixed rate debt, and that 47 00:02:11,960 --> 00:02:15,280 Speaker 2: fixed rate debt, certainly for companies and for commercial real estate, 48 00:02:15,360 --> 00:02:17,600 Speaker 2: starts to roll off. So I think there's a risk 49 00:02:18,120 --> 00:02:20,520 Speaker 2: of a hard landing if the FED doesn't start cutting rates, 50 00:02:20,560 --> 00:02:22,360 Speaker 2: you know, pretty soon. So, you know, I think the 51 00:02:22,400 --> 00:02:24,000 Speaker 2: market expects sometime middle. 52 00:02:23,800 --> 00:02:26,120 Speaker 3: Of next year. I think it's more likely probably as 53 00:02:26,160 --> 00:02:26,880 Speaker 3: early as Key. 54 00:02:26,720 --> 00:02:29,160 Speaker 1: One for the economy itself. Do you think it really 55 00:02:29,200 --> 00:02:31,000 Speaker 1: is going to make a difference if President Trump is 56 00:02:31,200 --> 00:02:33,880 Speaker 1: if he's the Republican nominee it gets selected, or President 57 00:02:33,960 --> 00:02:35,960 Speaker 1: Biden is the Democratic nominee he's selected. 58 00:02:36,200 --> 00:02:40,440 Speaker 2: You know, I do think leadership matters enormously in everything 59 00:02:40,440 --> 00:02:45,520 Speaker 2: from the economy to geopolitics, and I hope we're going 60 00:02:45,600 --> 00:02:48,480 Speaker 2: to have a broader selection than Trump and Biden. I 61 00:02:48,480 --> 00:02:51,400 Speaker 2: think Biden's done a lot of good things, but I 62 00:02:51,440 --> 00:02:55,600 Speaker 2: think his legacy will not be a good one if he. 63 00:02:55,680 --> 00:02:56,799 Speaker 3: Is the nominee. 64 00:02:57,160 --> 00:02:58,880 Speaker 2: I do think the right thing for Biden to do 65 00:02:59,400 --> 00:03:01,280 Speaker 2: is to step aside and to say he's not going 66 00:03:01,320 --> 00:03:05,560 Speaker 2: to run and create the opportunity for some competition of alternative. 67 00:03:05,720 --> 00:03:07,840 Speaker 3: Do you think that I think that I think. 68 00:03:07,639 --> 00:03:09,720 Speaker 2: He's you know, past his prime in a kind of 69 00:03:09,720 --> 00:03:11,720 Speaker 2: meaningful way. I do think of It's a bit like 70 00:03:11,760 --> 00:03:14,160 Speaker 2: being CEO of a major company. It's a it's a 71 00:03:14,240 --> 00:03:16,360 Speaker 2: it's a full time job, and you need to be 72 00:03:16,400 --> 00:03:18,400 Speaker 2: at your you know, you need to be strong, you 73 00:03:18,440 --> 00:03:21,919 Speaker 2: need to be at your intellectual best. And I don't 74 00:03:21,919 --> 00:03:24,880 Speaker 2: think Biden is there. And I don't say that, you know, 75 00:03:25,360 --> 00:03:28,840 Speaker 2: with any derision of the President. I always respect the 76 00:03:28,840 --> 00:03:31,240 Speaker 2: president and want whoever the president. 77 00:03:30,919 --> 00:03:32,080 Speaker 3: Is to be successful. 78 00:03:32,240 --> 00:03:36,400 Speaker 2: But I think he's clearly past his physical and cognitive peak. 79 00:03:36,760 --> 00:03:40,800 Speaker 1: So you're a young, experienced investment professional. You ever thought 80 00:03:40,800 --> 00:03:42,200 Speaker 1: about running for office yourself? 81 00:03:42,760 --> 00:03:45,320 Speaker 2: I think, you know, if the country wanted me at 82 00:03:45,320 --> 00:03:47,560 Speaker 2: some point, you know, I would be open to it. 83 00:03:48,200 --> 00:03:50,400 Speaker 2: You know, it's not I think it's not my time. 84 00:03:50,760 --> 00:03:52,680 Speaker 2: I still have a lot of work to do, and 85 00:03:52,960 --> 00:03:55,920 Speaker 2: you know, like to if I ever would take that step, 86 00:03:56,160 --> 00:03:59,040 Speaker 2: I would have to do I'd have to find myself 87 00:03:59,520 --> 00:04:01,880 Speaker 2: at a time in life when I felt ready to 88 00:04:01,920 --> 00:04:04,720 Speaker 2: take on that kind of responsibility. But it's something where 89 00:04:04,720 --> 00:04:06,520 Speaker 2: the country would have to ask me, as opposed to 90 00:04:07,360 --> 00:04:26,600 Speaker 2: you need to put myself out there. 91 00:04:31,880 --> 00:04:36,200 Speaker 1: Let's talk a moment about the background of yourself, when 92 00:04:36,200 --> 00:04:38,080 Speaker 1: you grew up and how you came to this business. 93 00:04:38,120 --> 00:04:39,360 Speaker 1: So where did you grow up. 94 00:04:39,960 --> 00:04:41,560 Speaker 3: I grew up in Chappaqua, New York. 95 00:04:41,640 --> 00:04:43,680 Speaker 1: And did you say to your parents, I want to 96 00:04:43,720 --> 00:04:45,080 Speaker 1: be a hedge fund investor? 97 00:04:45,320 --> 00:04:47,760 Speaker 2: No, what do you want to be? I wanted to 98 00:04:47,760 --> 00:04:49,800 Speaker 2: be a businessman. It's probably what I told him at 99 00:04:49,800 --> 00:04:51,520 Speaker 2: age ten or something like this. So I always had 100 00:04:51,560 --> 00:04:53,760 Speaker 2: all kinds of entrepreneurial jobs and things. 101 00:04:53,839 --> 00:04:55,560 Speaker 1: So as a young boy, or did you have any 102 00:04:56,200 --> 00:04:57,800 Speaker 1: newspaper routes or things like that? 103 00:04:58,240 --> 00:05:02,040 Speaker 2: Sure, So my dad did not leave in allowances. He said, look, 104 00:05:02,120 --> 00:05:05,520 Speaker 2: you want to make money, you have to work. And 105 00:05:05,520 --> 00:05:08,200 Speaker 2: initially he offered me some job opportunities when early one 106 00:05:08,240 --> 00:05:11,960 Speaker 2: was digging a fifty foot long, you know, sort of 107 00:05:12,600 --> 00:05:15,280 Speaker 2: ditch as I would describe it, to help deal with 108 00:05:15,320 --> 00:05:18,080 Speaker 2: the water flow off of our property, and he offered 109 00:05:18,080 --> 00:05:21,400 Speaker 2: to pay me, you know whatever, It was a dollar 110 00:05:21,440 --> 00:05:24,159 Speaker 2: an hour or something like this, and it was a 111 00:05:24,160 --> 00:05:26,360 Speaker 2: good lesson in that I didn't want to get paid 112 00:05:26,360 --> 00:05:27,960 Speaker 2: per hours. So next time he gave me a project, 113 00:05:28,000 --> 00:05:31,680 Speaker 2: I said, look, let me price the project, and then 114 00:05:31,680 --> 00:05:33,920 Speaker 2: it doesn't matter how quickly I get it done. 115 00:05:33,960 --> 00:05:36,040 Speaker 3: I don't want to be paid on an hourly basis. 116 00:05:36,080 --> 00:05:37,280 Speaker 3: So those are some of the early things. 117 00:05:37,480 --> 00:05:40,640 Speaker 2: I wouldn't call them entrepreneurial, but they generated some some 118 00:05:40,800 --> 00:05:43,159 Speaker 2: money that I was spending money. In terms of early 119 00:05:43,400 --> 00:05:45,040 Speaker 2: life job experiences. 120 00:05:45,400 --> 00:05:46,200 Speaker 3: One of the most. 121 00:05:47,720 --> 00:05:50,040 Speaker 2: Valuable ones was actually when I was a Harvard student. 122 00:05:51,160 --> 00:05:53,360 Speaker 2: There's something called the Let's Go Travel Guides, which were 123 00:05:53,360 --> 00:05:57,240 Speaker 2: these books that students wrote. 124 00:05:57,000 --> 00:05:58,560 Speaker 3: About budget travel. 125 00:05:58,839 --> 00:06:01,760 Speaker 2: And a friend of mine, me Tilson, and I he 126 00:06:01,880 --> 00:06:05,040 Speaker 2: became a friend, sold advertising for those guides all over 127 00:06:05,080 --> 00:06:07,040 Speaker 2: the world, and so we had this working out of 128 00:06:07,080 --> 00:06:10,720 Speaker 2: the basement of dorm room. We sold hundreds of thousands 129 00:06:10,760 --> 00:06:13,640 Speaker 2: of dollars of advertising in these books, and we got 130 00:06:13,680 --> 00:06:17,400 Speaker 2: a commission for doing so, and it started that's got 131 00:06:17,440 --> 00:06:19,880 Speaker 2: a fifteen percent promote for selling advertising, and that kind 132 00:06:19,920 --> 00:06:21,080 Speaker 2: of led to this hedge fund thing. 133 00:06:21,240 --> 00:06:23,600 Speaker 1: Yeah, and you did pretty well at Harvard, and when 134 00:06:23,680 --> 00:06:25,120 Speaker 1: you graduated, you then did what. 135 00:06:25,800 --> 00:06:27,080 Speaker 3: I graduated work for my dad. 136 00:06:27,200 --> 00:06:31,320 Speaker 2: Actually, my grandfather and his brother started a firm that 137 00:06:31,440 --> 00:06:35,000 Speaker 2: arranged financing for real estate developers and what you might 138 00:06:35,040 --> 00:06:39,799 Speaker 2: call commercial mortgage brokerage, and also raised equity financing for developers. 139 00:06:39,920 --> 00:06:43,799 Speaker 2: Sold property and I went to work there. I spent 140 00:06:44,040 --> 00:06:47,200 Speaker 2: a little under two years there before going to business school. 141 00:06:47,320 --> 00:06:48,640 Speaker 1: And you went to business school at Harvard. 142 00:06:48,760 --> 00:06:49,159 Speaker 3: I did. 143 00:06:49,320 --> 00:06:51,400 Speaker 1: And after you graduated from Harvard Business School, what did 144 00:06:51,440 --> 00:06:51,640 Speaker 1: you do? 145 00:06:51,880 --> 00:06:54,040 Speaker 3: That's when I started hedge fund and. 146 00:06:54,760 --> 00:06:56,640 Speaker 1: Just just said, Okay, I've got a Harvard Business School. 147 00:06:56,640 --> 00:06:58,000 Speaker 1: I don't need to have any more experience. I'm just 148 00:06:58,040 --> 00:06:59,160 Speaker 1: going to start a hedge fund. 149 00:06:59,720 --> 00:07:00,640 Speaker 3: Yeah. 150 00:07:00,720 --> 00:07:06,760 Speaker 2: I had started investing in business school with a classmate. Actually, 151 00:07:06,760 --> 00:07:08,520 Speaker 2: I went to Harvard with the plan about I was 152 00:07:08,520 --> 00:07:10,560 Speaker 2: going to learn about investing so I could someday be 153 00:07:10,560 --> 00:07:13,800 Speaker 2: an investor. And there were no courses on investing at Harvard, 154 00:07:13,840 --> 00:07:16,440 Speaker 2: but there were courses on finance and accounting and competitive 155 00:07:16,440 --> 00:07:20,040 Speaker 2: strategy with Michael Porter, and that was the backdrop for 156 00:07:20,120 --> 00:07:22,040 Speaker 2: my education about investing. And I said, look, I'll open 157 00:07:22,120 --> 00:07:24,680 Speaker 2: a brokerage account. I've made a little money in my 158 00:07:25,520 --> 00:07:28,560 Speaker 2: real estate commissions, and this will be another year of 159 00:07:28,800 --> 00:07:30,440 Speaker 2: If I lose it all, it's another year of Harvard 160 00:07:30,480 --> 00:07:31,040 Speaker 2: Business School. 161 00:07:31,240 --> 00:07:33,119 Speaker 3: If I learned something from it, maybe it's a career. 162 00:07:33,360 --> 00:07:36,320 Speaker 2: And I kind of fell in love with investing and 163 00:07:36,480 --> 00:07:38,920 Speaker 2: it's something you can kind of figure out. Actually whether 164 00:07:38,920 --> 00:07:41,480 Speaker 2: you're good at or not pretty a couple of year 165 00:07:41,480 --> 00:07:41,960 Speaker 2: period of time. 166 00:07:42,080 --> 00:07:44,960 Speaker 1: So you started Pershing Square after that period of time 167 00:07:45,040 --> 00:07:45,600 Speaker 1: or right away? 168 00:07:45,680 --> 00:07:48,160 Speaker 2: I started a firm called Gotham Partners with a partner 169 00:07:48,240 --> 00:07:50,600 Speaker 2: named David Burkwitz, a classmate of mine a business school. 170 00:07:50,640 --> 00:07:54,000 Speaker 2: We started in September of ninety two. And yes, we 171 00:07:54,040 --> 00:07:57,880 Speaker 2: had no experience. And what was interesting is that none 172 00:07:57,880 --> 00:08:00,480 Speaker 2: of the people who knew me in high school, parents, 173 00:08:00,600 --> 00:08:02,480 Speaker 2: my friends, had no interest because they thought him as 174 00:08:02,480 --> 00:08:06,600 Speaker 2: a kid. But we raised money from mostly people who 175 00:08:06,640 --> 00:08:09,520 Speaker 2: were themselves good investors, and I think they could see 176 00:08:09,520 --> 00:08:09,920 Speaker 2: in us. 177 00:08:10,680 --> 00:08:12,640 Speaker 3: I guess some potential, right. 178 00:08:12,720 --> 00:08:16,760 Speaker 1: So you then transformed that into Pershing Square a year 179 00:08:16,840 --> 00:08:17,360 Speaker 1: or two later. 180 00:08:17,640 --> 00:08:22,560 Speaker 2: No, So Gotham was a decade and we did kind 181 00:08:22,560 --> 00:08:25,840 Speaker 2: of public equity and then private equity and some venture capital, 182 00:08:26,080 --> 00:08:30,640 Speaker 2: and then actually had a pretty challenging period that led 183 00:08:30,680 --> 00:08:33,319 Speaker 2: to a decision to wind up Gotham, and then I 184 00:08:33,440 --> 00:08:36,080 Speaker 2: launched Pershing Square in January of two thousand and four, 185 00:08:36,800 --> 00:08:37,760 Speaker 2: almost twenty years ago. 186 00:08:37,880 --> 00:08:41,080 Speaker 1: You specialize in picking stocks. You weren't a macro investor then, 187 00:08:41,120 --> 00:08:42,320 Speaker 1: where you were a stock picker. 188 00:08:42,640 --> 00:08:45,640 Speaker 2: Yes, I would say we were kind of an activist 189 00:08:46,160 --> 00:08:50,360 Speaker 2: stock picker. We would buy pretty concentrated portfolio by large 190 00:08:50,360 --> 00:08:52,800 Speaker 2: stakes and companies that we thought were great businesses or 191 00:08:52,800 --> 00:08:55,000 Speaker 2: had great assets but were undermanaged. 192 00:08:55,360 --> 00:08:57,400 Speaker 1: And when you're an activist, of course that word has 193 00:08:57,840 --> 00:09:00,360 Speaker 1: different meanings of different people. But you would you call 194 00:09:00,400 --> 00:09:02,480 Speaker 1: the CEO and say, we own five percent, we'd like 195 00:09:02,520 --> 00:09:03,760 Speaker 1: to be on the board, we'd like to tell you 196 00:09:03,800 --> 00:09:05,520 Speaker 1: how to run your company? Did you do that? And 197 00:09:05,640 --> 00:09:06,800 Speaker 1: was that intimidating to do that? 198 00:09:07,400 --> 00:09:10,079 Speaker 2: It's not exactly what we said, because again we were 199 00:09:10,160 --> 00:09:14,240 Speaker 2: young and inexperienced, But it was more that we'd find 200 00:09:14,240 --> 00:09:17,040 Speaker 2: a company. One of the early investments was Wendy's, the 201 00:09:17,120 --> 00:09:19,880 Speaker 2: Hamburger chain, and Wendy's owned one hundred percent of a 202 00:09:19,920 --> 00:09:22,920 Speaker 2: chain called Tim Hortons in Canada. And Tim Hortons was 203 00:09:22,960 --> 00:09:27,360 Speaker 2: a very profitable, successful, pure franchise of coffee and donut 204 00:09:27,400 --> 00:09:30,560 Speaker 2: chaining principally in Canada, and you could fairly clearly see 205 00:09:30,600 --> 00:09:33,360 Speaker 2: that business was worth about five billion dollars at least, 206 00:09:33,400 --> 00:09:35,560 Speaker 2: it had about four hundred and fifty million of operating income. 207 00:09:35,960 --> 00:09:38,080 Speaker 2: It's probably worth meaningfully more than that, but you could 208 00:09:38,080 --> 00:09:40,880 Speaker 2: buy all of Wendy's for five billion, So literally the 209 00:09:40,920 --> 00:09:44,160 Speaker 2: market was describing zero value to the Wendy's franchise, and 210 00:09:44,200 --> 00:09:46,640 Speaker 2: our advice to the CEO is, well, just spin off 211 00:09:46,679 --> 00:09:49,960 Speaker 2: tim Horton's and then focus on fixing Wendy's. But you 212 00:09:50,000 --> 00:09:52,360 Speaker 2: can create enormous value in just separating two companies. So 213 00:09:52,400 --> 00:09:55,040 Speaker 2: it was a bit like investment banking where we didn't 214 00:09:55,080 --> 00:09:59,400 Speaker 2: charge a fee and actually back then because we couldn't 215 00:09:59,400 --> 00:10:01,800 Speaker 2: get a return from phone call because we were a tiny, 216 00:10:01,800 --> 00:10:06,160 Speaker 2: little fun circa, you know, two thousand and four, we 217 00:10:06,280 --> 00:10:09,760 Speaker 2: hired Blackstone, which had an investment bank at the time, 218 00:10:10,440 --> 00:10:13,840 Speaker 2: and we hired them to say, put together a fairness opinion, 219 00:10:13,880 --> 00:10:16,040 Speaker 2: if you will, what Wendys would be worth if they 220 00:10:16,080 --> 00:10:17,040 Speaker 2: spun off tim Horton's. 221 00:10:17,559 --> 00:10:18,839 Speaker 3: And then we wrote a letter to the board. 222 00:10:19,240 --> 00:10:23,680 Speaker 2: We attached the Blackstone evaluation, which was nearly double where 223 00:10:23,679 --> 00:10:25,880 Speaker 2: the stock was trading, and then six weeks later, magically 224 00:10:25,920 --> 00:10:27,840 Speaker 2: they spun off tim Horton's. 225 00:10:28,160 --> 00:10:30,320 Speaker 1: Okay, so you did that with other companies and being 226 00:10:30,320 --> 00:10:34,240 Speaker 1: an activist, was it consistent with your personality to do this, 227 00:10:34,280 --> 00:10:35,920 Speaker 1: because you've got to be a tough guy to call 228 00:10:36,000 --> 00:10:38,600 Speaker 1: up CEOs and say, look, I got a better idea 229 00:10:38,600 --> 00:10:39,840 Speaker 1: abot how to run your company. Than you do. 230 00:10:41,320 --> 00:10:44,080 Speaker 2: It was consistent with my personality. I've think always been 231 00:10:44,160 --> 00:10:45,319 Speaker 2: some form of an activist. 232 00:10:45,440 --> 00:10:48,880 Speaker 1: Yet and today your focus is on the kind of 233 00:10:48,920 --> 00:10:50,600 Speaker 1: activist investing or you've stopped that. 234 00:10:51,160 --> 00:10:53,920 Speaker 2: So, you know, when you're no one knows who you 235 00:10:53,960 --> 00:10:58,120 Speaker 2: are and you're trying to affect change in a company, 236 00:10:58,280 --> 00:11:00,199 Speaker 2: you have to sort of be an activist, have to 237 00:11:00,360 --> 00:11:04,400 Speaker 2: use the media, the public platform to in some cases 238 00:11:04,440 --> 00:11:08,160 Speaker 2: shame a company into doing the right thing. Twenty years later, 239 00:11:08,640 --> 00:11:12,679 Speaker 2: having had a meaningful number of successful engagements with companies, 240 00:11:12,880 --> 00:11:14,640 Speaker 2: we don't really have to do that anymore, and so 241 00:11:15,040 --> 00:11:17,680 Speaker 2: a lot of the stuff we've done recently has been 242 00:11:17,920 --> 00:11:20,400 Speaker 2: either buying into a company that already has great leadership 243 00:11:20,480 --> 00:11:24,680 Speaker 2: and we're happy to share ideas. In some cases, you 244 00:11:24,720 --> 00:11:27,080 Speaker 2: know there needs to be a change in leadership, but 245 00:11:27,120 --> 00:11:30,800 Speaker 2: we're able to get things done without, you know, sort 246 00:11:30,800 --> 00:11:33,959 Speaker 2: of what you might call activism, more like engaged owners 247 00:11:33,960 --> 00:11:34,560 Speaker 2: of businesses. 248 00:11:34,600 --> 00:11:38,439 Speaker 1: And you've done the three extremely successful macro bets. One 249 00:11:38,520 --> 00:11:41,640 Speaker 1: during the period of the time of the housing crisis 250 00:11:41,840 --> 00:11:45,520 Speaker 1: seven eight, and that one was extremely successful. You did 251 00:11:45,520 --> 00:11:49,000 Speaker 1: one again during the COVID period of time, yes, which 252 00:11:49,120 --> 00:11:51,240 Speaker 1: was I think maybe your best investment ever you made 253 00:11:51,280 --> 00:11:54,720 Speaker 1: a ninety four times your money investment more or less 254 00:11:54,760 --> 00:11:56,200 Speaker 1: one hundred times actually one hundred times. 255 00:11:56,840 --> 00:12:00,800 Speaker 2: Yes, we bet that the credit spreads would widen because 256 00:12:00,840 --> 00:12:02,920 Speaker 2: we need we have to shut down the global economy. 257 00:12:03,200 --> 00:12:04,760 Speaker 3: And that's basically what happened. 258 00:12:05,200 --> 00:12:07,480 Speaker 1: So did people say, do you have any more deals 259 00:12:07,480 --> 00:12:10,520 Speaker 1: like that one? You did that one, Yes, and that 260 00:12:10,600 --> 00:12:11,720 Speaker 1: was a hard to find. 261 00:12:12,559 --> 00:12:15,000 Speaker 2: You know, the three black swan events in the last 262 00:12:15,000 --> 00:12:19,400 Speaker 2: twenty years, we were We've been able to make a big, big, 263 00:12:19,800 --> 00:12:23,600 Speaker 2: profitable bets on. But these kind of black Swan type 264 00:12:23,679 --> 00:12:27,160 Speaker 2: things hopefully occur only every seven years. 265 00:12:27,240 --> 00:12:28,200 Speaker 3: Let's say it, interest. 266 00:12:28,000 --> 00:12:29,760 Speaker 1: Rates went up and they started going up. You made 267 00:12:29,760 --> 00:12:32,280 Speaker 1: another macro back that turned out to be pretty successful 268 00:12:32,280 --> 00:12:35,040 Speaker 1: as well. Yes, So do you have any other macro 269 00:12:35,080 --> 00:12:37,080 Speaker 1: bets you can mention now or nothing you can mention? 270 00:12:37,640 --> 00:12:40,600 Speaker 2: We have another one on as we speak. Actually, we're 271 00:12:40,600 --> 00:12:42,640 Speaker 2: betting that the Federal Reserve is going to have to 272 00:12:42,720 --> 00:12:44,680 Speaker 2: cut rates more quickly than people expect. 273 00:12:44,760 --> 00:12:47,400 Speaker 3: That's the current macro bet that we have on. 274 00:12:47,800 --> 00:12:49,880 Speaker 1: You're going to continue to be involved in this issue 275 00:12:49,880 --> 00:12:51,559 Speaker 1: and try to push Harvard to do what you think 276 00:12:51,559 --> 00:12:52,240 Speaker 1: they should be doing. 277 00:12:52,320 --> 00:12:57,200 Speaker 2: Yes, I'm an activist but my activism today is probably 278 00:12:57,200 --> 00:13:00,600 Speaker 2: not in the corporate boardrooms on campus. 279 00:13:13,120 --> 00:13:17,719 Speaker 1: Some hedge funds, they've delegated the money decision making to 280 00:13:17,840 --> 00:13:20,080 Speaker 1: many of different people in the firm. You make all 281 00:13:20,120 --> 00:13:21,280 Speaker 1: the final decisions yourself. 282 00:13:21,720 --> 00:13:23,440 Speaker 2: It works as we have an eight person investment team, 283 00:13:23,679 --> 00:13:28,080 Speaker 2: and each idea is one that a two person team 284 00:13:28,200 --> 00:13:29,200 Speaker 2: will do a deep dive on. 285 00:13:30,040 --> 00:13:31,520 Speaker 3: I will do less of a deep dive. 286 00:13:32,320 --> 00:13:35,119 Speaker 2: I'll read the public filings, I'll read conference called transcripts. 287 00:13:35,160 --> 00:13:38,280 Speaker 2: I won't be the person that you know talks to 288 00:13:38,559 --> 00:13:41,160 Speaker 2: former employees that kind of thing. And then we talk 289 00:13:41,200 --> 00:13:45,440 Speaker 2: about every idea as a team, and ultimately the team collectively, 290 00:13:45,520 --> 00:13:49,600 Speaker 2: we don't do things generally that you know, we don't 291 00:13:49,600 --> 00:13:51,679 Speaker 2: have kind of collective buy in on. At the end 292 00:13:51,720 --> 00:13:55,440 Speaker 2: of the day, I do retain the ultimate vetails yeah, 293 00:13:55,480 --> 00:13:59,840 Speaker 2: your name, and the ultimate decision on sizing. One big 294 00:14:00,040 --> 00:14:02,080 Speaker 2: change I made in the last couple of years, I 295 00:14:02,120 --> 00:14:05,400 Speaker 2: pointed a CIO, a very talented guy named Ryan Israel 296 00:14:05,880 --> 00:14:09,000 Speaker 2: who's been with the firm for about fourteen years. And 297 00:14:09,080 --> 00:14:12,600 Speaker 2: Ryan is exceptional and he's taken a real leadership role 298 00:14:12,880 --> 00:14:17,840 Speaker 2: among that eight person team. But I use the word 299 00:14:17,840 --> 00:14:20,040 Speaker 2: team often here because that's how this place operates. 300 00:14:20,160 --> 00:14:22,440 Speaker 1: What type of people would get a job here. You're 301 00:14:22,480 --> 00:14:26,120 Speaker 1: looking for people who are really smart, good academic credentials driven. 302 00:14:26,160 --> 00:14:28,160 Speaker 1: What is it that you look for when you're interviewing people. 303 00:14:28,600 --> 00:14:29,680 Speaker 3: It depends on what role. 304 00:14:30,520 --> 00:14:35,880 Speaker 2: But people on the investment team generally, yes, they've graduated 305 00:14:35,920 --> 00:14:38,440 Speaker 2: to the top of their class at Wharton, They've always 306 00:14:38,480 --> 00:14:40,920 Speaker 2: been interested in business and investing. They went to work 307 00:14:41,520 --> 00:14:45,240 Speaker 2: at a Apollo a KKR Carlisle. We like people that 308 00:14:45,760 --> 00:14:49,440 Speaker 2: get private equity experience. We think that's the best background 309 00:14:49,480 --> 00:14:53,200 Speaker 2: for what we do. We're really private equity investors investing 310 00:14:53,240 --> 00:14:56,720 Speaker 2: in the public markets, and the sort of temperament of 311 00:14:56,760 --> 00:15:00,520 Speaker 2: a typical private equity person fits well here. We only 312 00:15:00,560 --> 00:15:05,360 Speaker 2: own really eight companies. They don't change that often, so 313 00:15:05,760 --> 00:15:08,280 Speaker 2: this is not a place where a typical hedge fund firm. 314 00:15:09,000 --> 00:15:11,320 Speaker 2: You know, people are cycling through, you know, the idea 315 00:15:11,360 --> 00:15:13,760 Speaker 2: of the week, the idea of the month. Here we 316 00:15:13,760 --> 00:15:15,320 Speaker 2: may do one new idea a year now. 317 00:15:15,360 --> 00:15:18,080 Speaker 1: Another area that investors have been very interesting lately is 318 00:15:18,200 --> 00:15:22,680 Speaker 1: artificial intelligence. Are you investing in things relating to artificial intelligence? 319 00:15:22,720 --> 00:15:24,880 Speaker 2: You know, the most direct investment we have in AI, 320 00:15:25,000 --> 00:15:27,680 Speaker 2: I would say is Google or Alphabet, which. 321 00:15:28,080 --> 00:15:30,000 Speaker 1: You're a biggest shareholder of an alphabet. 322 00:15:30,000 --> 00:15:32,280 Speaker 2: We're a small shareholder of Alphabet because it's a massive company. 323 00:15:32,320 --> 00:15:35,800 Speaker 2: We've got a large investments, approaching two billion dollar investment 324 00:15:36,600 --> 00:15:39,360 Speaker 2: in the business. And actually it was it was the 325 00:15:40,000 --> 00:15:41,880 Speaker 2: It was AI that created the opportunity for us to 326 00:15:41,920 --> 00:15:44,880 Speaker 2: buy Google at an attractive price. You know, basically Microsoft 327 00:15:45,320 --> 00:15:48,640 Speaker 2: and open Ai had a very powerful demonstration of a 328 00:15:48,720 --> 00:15:51,960 Speaker 2: launch of a new product, and then Google's kind of 329 00:15:52,240 --> 00:15:55,360 Speaker 2: launch or it was a bit of a disaster. Stock 330 00:15:55,400 --> 00:15:57,960 Speaker 2: cut crushed on the basis of fear that Google is 331 00:15:58,000 --> 00:16:01,720 Speaker 2: way behind an AI and you know, their advertising franchise 332 00:16:02,000 --> 00:16:04,600 Speaker 2: more than covered the value of the company, and you 333 00:16:04,680 --> 00:16:06,400 Speaker 2: got whatever they were doing in AI if you will, 334 00:16:06,440 --> 00:16:08,920 Speaker 2: for free. And our view based on work we had done, 335 00:16:09,040 --> 00:16:11,480 Speaker 2: is that actually Google was sort of neck and neck, 336 00:16:11,520 --> 00:16:13,440 Speaker 2: if not ahead of open Ai in terms of their 337 00:16:14,400 --> 00:16:15,160 Speaker 2: business progress. 338 00:16:15,280 --> 00:16:17,200 Speaker 1: So one of the pluses some people would say of 339 00:16:17,240 --> 00:16:19,160 Speaker 1: being a successful investor is you do make a fair 340 00:16:19,160 --> 00:16:21,160 Speaker 1: amount of money and then you have the opportunity to 341 00:16:21,200 --> 00:16:23,320 Speaker 1: be a philanthropist. So you were one of the early 342 00:16:23,360 --> 00:16:26,040 Speaker 1: signers of the Giving Pledge. Why did you do that? 343 00:16:26,040 --> 00:16:27,960 Speaker 1: Why did you commit to give away half of your 344 00:16:28,000 --> 00:16:28,480 Speaker 1: net worth. 345 00:16:28,840 --> 00:16:31,480 Speaker 2: Well, I think you committed half for more. That was 346 00:16:31,560 --> 00:16:33,840 Speaker 2: kind of my plan anyway. And then you know, one day, 347 00:16:34,040 --> 00:16:36,240 Speaker 2: you know, Warren Buffett calls up and says, Bill, you know, 348 00:16:36,880 --> 00:16:38,520 Speaker 2: I want you to sign the giving pledge. 349 00:16:38,840 --> 00:16:44,560 Speaker 3: So I think it's a you know, I've learned a 350 00:16:44,600 --> 00:16:45,479 Speaker 3: lot about philanthropy. 351 00:16:45,760 --> 00:16:49,240 Speaker 2: I started the Persian Square Foundation, actually, I think seventeen 352 00:16:49,320 --> 00:16:52,920 Speaker 2: years ago. My personal business plan was always to be 353 00:16:53,120 --> 00:16:56,480 Speaker 2: super successful and then take the resources I don't need 354 00:16:56,520 --> 00:16:58,840 Speaker 2: and then redeploy them in a way that I thought 355 00:16:58,880 --> 00:17:03,000 Speaker 2: was best for society. I do think that philanthropy is 356 00:17:03,040 --> 00:17:05,080 Speaker 2: often not the best way to solve problems. I do 357 00:17:05,160 --> 00:17:08,960 Speaker 2: think that capitalism and for profit business models are generally 358 00:17:09,000 --> 00:17:11,440 Speaker 2: the best way to solve problems. But there are still problems, 359 00:17:11,880 --> 00:17:15,800 Speaker 2: societal ones that can't be solved in the traditional capital markets. 360 00:17:15,800 --> 00:17:18,640 Speaker 2: There's sort of a gap, and so you know, those 361 00:17:18,640 --> 00:17:20,280 Speaker 2: are the areas that we tend to focus on. 362 00:17:20,280 --> 00:17:22,600 Speaker 1: One of the institutions you've been very philanthropic with is 363 00:17:22,640 --> 00:17:26,720 Speaker 1: your alma mater, Harvard, But recently you've been very public 364 00:17:26,760 --> 00:17:30,520 Speaker 1: about your criticism of the way Harvard handled the events 365 00:17:30,560 --> 00:17:34,480 Speaker 1: of October seventh. Then their aftermath. Could you talk about that? Now? 366 00:17:34,960 --> 00:17:37,440 Speaker 2: The first reaction of a group of thirty four Harvard 367 00:17:37,480 --> 00:17:42,199 Speaker 2: student clubs on the morning after October seventh was to 368 00:17:42,200 --> 00:17:44,720 Speaker 2: put out a statement saying that Israel was one hundred 369 00:17:44,720 --> 00:17:51,760 Speaker 2: percent responsible for the acts of Hamas. And my view 370 00:17:51,800 --> 00:17:56,440 Speaker 2: on that was, you know, that's ridiculous, and that's more 371 00:17:56,480 --> 00:17:59,679 Speaker 2: than ridiculous, I would say, and you know, these students 372 00:17:59,720 --> 00:18:02,760 Speaker 2: need to have some you know, judgment and perspective. You 373 00:18:02,760 --> 00:18:05,600 Speaker 2: can come out and say, look, I'm very unhappy about 374 00:18:05,680 --> 00:18:09,760 Speaker 2: Israel's treatment of the Palestinians in the West Bank, or 375 00:18:09,800 --> 00:18:13,119 Speaker 2: you can say, you know, we can talk about God's 376 00:18:13,119 --> 00:18:18,000 Speaker 2: a strip, but you can't support terrorists, and particularly terrorists 377 00:18:18,080 --> 00:18:22,240 Speaker 2: that rape and pillage and you know, murder and burn 378 00:18:22,480 --> 00:18:25,760 Speaker 2: and take hostages. And so my first point there was 379 00:18:27,119 --> 00:18:31,160 Speaker 2: not so much directed at Harvard, but you know, love 380 00:18:31,240 --> 00:18:34,120 Speaker 2: to know. I got actually a text from a CEO 381 00:18:34,880 --> 00:18:37,119 Speaker 2: in my industry. It's like, Bill, you know your you 382 00:18:37,160 --> 00:18:39,400 Speaker 2: know the people at Harvard. I'd like to know who 383 00:18:39,440 --> 00:18:41,400 Speaker 2: the students are behind these clubs, so I make sure 384 00:18:41,440 --> 00:18:44,320 Speaker 2: I don't inadvertently hire them. And so I tweeted out 385 00:18:44,600 --> 00:18:48,600 Speaker 2: that sort of made that point and caused a bit 386 00:18:48,600 --> 00:18:51,400 Speaker 2: of a firestorm, and I got a lot of pushback, 387 00:18:52,040 --> 00:18:53,879 Speaker 2: Why are you picking on students? I said, look, you 388 00:18:53,880 --> 00:18:56,359 Speaker 2: can't hide behind a corporate entity. If you're going to 389 00:18:56,359 --> 00:18:58,760 Speaker 2: support terrorism. You know, that's a that's a major decision. 390 00:18:58,760 --> 00:19:02,160 Speaker 2: So that was sort of my first initiative, if you will, 391 00:19:02,200 --> 00:19:05,480 Speaker 2: at Harvard. And then you know, there were protests on campus, 392 00:19:06,440 --> 00:19:10,880 Speaker 2: and the protests weren't The protests weren't supportive of terrorism 393 00:19:11,320 --> 00:19:15,639 Speaker 2: and supportive of things like you know, when you have 394 00:19:15,640 --> 00:19:19,040 Speaker 2: a group of students shouting into fada, into fada, you know, 395 00:19:19,160 --> 00:19:21,600 Speaker 2: let's free Palestine and from the river to the sea. 396 00:19:22,160 --> 00:19:25,920 Speaker 2: The meaning of into fada means to kill Jews. When 397 00:19:25,920 --> 00:19:27,800 Speaker 2: I raised this issue, Harvard said, well, we have a 398 00:19:27,800 --> 00:19:29,960 Speaker 2: commitment to free speech, and that's why we have to 399 00:19:29,960 --> 00:19:33,000 Speaker 2: allow this. Well, there's certain speech that is certainly permissible 400 00:19:33,080 --> 00:19:36,520 Speaker 2: under the First Amendment, and then there's certain speech that 401 00:19:36,640 --> 00:19:38,720 Speaker 2: I would say is undesirable on a campus. 402 00:19:38,880 --> 00:19:41,640 Speaker 1: Have you said you're not going to donate the Harvard anymore, 403 00:19:41,720 --> 00:19:43,720 Speaker 1: or have you said I'm not going to hire people 404 00:19:43,720 --> 00:19:47,200 Speaker 1: from these Harvard students anymore or people like those people? 405 00:19:47,680 --> 00:19:49,960 Speaker 2: No, Well, one, we're not going to hire anyone that 406 00:19:50,000 --> 00:19:53,440 Speaker 2: supports terrorism at person Square. I haven't made any statements about, 407 00:19:54,000 --> 00:19:56,320 Speaker 2: you know, economic support for Harvard. I want Harvard to 408 00:19:56,320 --> 00:19:58,399 Speaker 2: do the right thing. I don't want to threaten one 409 00:19:58,440 --> 00:20:01,359 Speaker 2: way or another. That's not my kind of approach. But 410 00:20:01,440 --> 00:20:03,880 Speaker 2: I do think Harvard needs to do a deep examination 411 00:20:04,600 --> 00:20:06,560 Speaker 2: of you know, one, there's been a meaningful rise in 412 00:20:06,600 --> 00:20:12,439 Speaker 2: anti Semitic incidents on campus and the university's done very little. 413 00:20:12,800 --> 00:20:13,000 Speaker 3: You know. 414 00:20:13,040 --> 00:20:16,359 Speaker 2: The reaction was, let's let's form a task force. And 415 00:20:16,400 --> 00:20:22,680 Speaker 2: I think again, had this been another ethnic group that 416 00:20:23,440 --> 00:20:26,240 Speaker 2: where this kind of activity took place, Harvard would be 417 00:20:26,280 --> 00:20:29,440 Speaker 2: suspending the people involved, not just allowing you. 418 00:20:29,520 --> 00:20:31,280 Speaker 1: So you're going to continue to be involved in this 419 00:20:31,359 --> 00:20:33,119 Speaker 1: issue and try to push Harvard to do what you 420 00:20:33,160 --> 00:20:34,040 Speaker 1: think they should be doing. 421 00:20:34,119 --> 00:20:37,720 Speaker 2: Absolutely, you know, I wrote a pretty thoughtful letter that 422 00:20:37,960 --> 00:20:40,240 Speaker 2: was you know, I think twenty five million people saw 423 00:20:40,280 --> 00:20:44,960 Speaker 2: it on Twitter, and remarkably I did not get a response, 424 00:20:45,040 --> 00:20:48,240 Speaker 2: which to me is a very very bad. 425 00:20:50,840 --> 00:20:52,400 Speaker 3: And weak approach. 426 00:20:52,680 --> 00:20:55,479 Speaker 2: Literally no response, no acknowledgment, no Dear Bill, I hear 427 00:20:55,520 --> 00:20:56,560 Speaker 2: what you're saying, but. 428 00:20:57,920 --> 00:21:02,000 Speaker 3: Nothing. So. Yes, I'm an act devist, but. 429 00:21:01,880 --> 00:21:05,480 Speaker 2: My activism today is probably not in the corporate boardroom 430 00:21:06,359 --> 00:21:07,640 Speaker 2: it's it's on campus. 431 00:21:07,840 --> 00:21:09,520 Speaker 3: And and this is not just. 432 00:21:09,480 --> 00:21:12,879 Speaker 2: A Harvard problem, you know, there's and it's an NYU problem, 433 00:21:13,080 --> 00:21:17,160 Speaker 2: It's a University of Pennsylvania problem. It you know, the 434 00:21:17,280 --> 00:21:21,480 Speaker 2: more I examine the issue, the more woke, the more 435 00:21:21,640 --> 00:21:26,480 Speaker 2: left leaning the institution, the more anti semitism, which is 436 00:21:26,520 --> 00:21:27,680 Speaker 2: a very unfortunate thing. 437 00:21:28,040 --> 00:21:30,480 Speaker 1: You've built Pershing from nothing to what it is today, 438 00:21:30,520 --> 00:21:33,960 Speaker 1: a very successful hedge fund. What makes you most proud 439 00:21:34,160 --> 00:21:36,960 Speaker 1: that having done that from the start? Or are the 440 00:21:37,000 --> 00:21:38,760 Speaker 1: things you've done in your philanthropic life? What are you 441 00:21:38,800 --> 00:21:40,760 Speaker 1: most proud of having achieved in your life so far? 442 00:21:41,560 --> 00:21:44,520 Speaker 2: So you know a number of things. I love having 443 00:21:44,560 --> 00:21:48,080 Speaker 2: a company where I believe that pretty much everyone here 444 00:21:48,160 --> 00:21:50,400 Speaker 2: is excited to come into work every day. I think 445 00:21:50,440 --> 00:21:55,720 Speaker 2: we've made a kind of meaningful contribution to, you know, 446 00:21:55,840 --> 00:21:58,919 Speaker 2: the capitalist system and the functioning of how you know. 447 00:21:58,920 --> 00:22:01,080 Speaker 2: I think the probably the most ignist impact we've had. 448 00:22:01,520 --> 00:22:05,240 Speaker 2: We were sort of an early activist, and as you 449 00:22:05,320 --> 00:22:08,880 Speaker 2: probably know, the nature of boardrooms, you know, twenty years 450 00:22:08,920 --> 00:22:12,600 Speaker 2: ago is meaningfully different today, and a big part of 451 00:22:12,600 --> 00:22:14,439 Speaker 2: that is the rise of shareholder activism, and I think 452 00:22:14,440 --> 00:22:16,800 Speaker 2: we played an important role there. I think that's led 453 00:22:16,840 --> 00:22:19,720 Speaker 2: to the US capital markets, in the US stock market 454 00:22:19,720 --> 00:22:22,200 Speaker 2: being one of the best performing markets in the world. 455 00:22:22,280 --> 00:22:24,720 Speaker 2: And that has a huge impact on people's pensions, on 456 00:22:24,800 --> 00:22:28,640 Speaker 2: people's savings, on people's livelihood, on US competitiveness, on our 457 00:22:29,520 --> 00:22:32,439 Speaker 2: national security, and so, you know, I think, you know, 458 00:22:32,480 --> 00:22:34,439 Speaker 2: the good news about my day job is, you know, 459 00:22:34,720 --> 00:22:38,960 Speaker 2: it's fun, it's profitable. It benefits our investors, but it 460 00:22:39,000 --> 00:22:42,000 Speaker 2: also on benefits kind of the market generally. So I 461 00:22:42,040 --> 00:22:45,439 Speaker 2: think that's an important and good contribution. You know, Philanthropically, 462 00:22:46,080 --> 00:22:50,040 Speaker 2: we have invested in you know, six hundred million dollars 463 00:22:50,160 --> 00:22:54,199 Speaker 2: in a wider range of initiatives and you know, a 464 00:22:54,280 --> 00:22:54,920 Speaker 2: number of those. 465 00:22:55,720 --> 00:22:57,120 Speaker 3: You know, it's a bit like investing. 466 00:22:57,160 --> 00:23:01,840 Speaker 2: You have, hopefully you have a few Googles, and we 467 00:23:01,920 --> 00:23:05,040 Speaker 2: have a couple of those, number of those filmthropically, and 468 00:23:05,080 --> 00:23:08,920 Speaker 2: I do feel like we've invested money that on which 469 00:23:09,320 --> 00:23:11,800 Speaker 2: society has earned unattractive return