1 00:00:00,040 --> 00:00:06,400 Speaker 1: M intro. I'm Robert Evans. This is behind the Bastard Show. 2 00:00:06,519 --> 00:00:08,719 Speaker 1: We'll tell you about the bad people you don't know 3 00:00:08,960 --> 00:00:11,520 Speaker 1: enough about or you want to know more about. That's 4 00:00:11,520 --> 00:00:15,840 Speaker 1: the show. That's the show. Okay, Today my guest is 5 00:00:16,280 --> 00:00:20,639 Speaker 1: Jamie Loftus. Hi, Jamie eating a salad Loftus Jamie, Yeah, 6 00:00:20,680 --> 00:00:23,520 Speaker 1: eating a salad. I can already anticipate all the furious 7 00:00:23,560 --> 00:00:26,800 Speaker 1: comments that I'll get to dip into about my what's 8 00:00:26,800 --> 00:00:32,600 Speaker 1: the word my mesophonia? Really yeah, anytime anyone ever eats 9 00:00:32,640 --> 00:00:36,200 Speaker 1: on Mike, there's nine comments about like mymusophonia. I can't 10 00:00:36,240 --> 00:00:39,400 Speaker 1: listen to someone eating. And I was like, this is 11 00:00:39,440 --> 00:00:43,240 Speaker 1: the smallest problem. Well, you've hit upon a secret, which 12 00:00:43,280 --> 00:00:49,279 Speaker 1: is the secret bastard of this episode, like the thing 13 00:00:49,280 --> 00:00:52,519 Speaker 1: I'm blaming everything on. Yeah, no, you are a working 14 00:00:52,880 --> 00:00:56,560 Speaker 1: person and uh to all my us, I've eat a 15 00:00:56,600 --> 00:00:59,000 Speaker 1: lot of deritos. Show that's true. I mean, but that's 16 00:00:59,000 --> 00:01:02,160 Speaker 1: a satisfying a some are induced crunch It is, well, 17 00:01:02,240 --> 00:01:04,640 Speaker 1: it is, but so is the satisfying taste of a 18 00:01:05,959 --> 00:01:08,120 Speaker 1: I don't I can't find a brand on your salad. 19 00:01:08,280 --> 00:01:10,920 Speaker 1: You should brand. You don't know what it is frustrating 20 00:01:11,120 --> 00:01:14,199 Speaker 1: there's not enough. There's not enough visibility with this salad. Yeah, 21 00:01:14,240 --> 00:01:17,360 Speaker 1: speaking of branding today, we're talking about one of the 22 00:01:17,400 --> 00:01:20,600 Speaker 1: all time great branders up until about a year and 23 00:01:20,600 --> 00:01:25,039 Speaker 1: a half ago, Elizabeth Holmes. Holmes. Man, she's gone mainstream. 24 00:01:25,280 --> 00:01:32,640 Speaker 1: E home me. It's gonna be any Holmes connection here. 25 00:01:34,160 --> 00:01:38,640 Speaker 1: It's crazy how quickly she has become a central, like 26 00:01:38,680 --> 00:01:42,000 Speaker 1: a focus of the world. It seemed to happen very quickly. Yeah, 27 00:01:42,000 --> 00:01:44,720 Speaker 1: it really all kicked off in about like fourteen is 28 00:01:44,760 --> 00:01:46,959 Speaker 1: kind of when she blew onto the stage. That was 29 00:01:47,000 --> 00:01:49,320 Speaker 1: when I became a stand That's what you were. You 30 00:01:49,360 --> 00:01:51,280 Speaker 1: were you stand here for a while I was. I 31 00:01:51,360 --> 00:01:54,480 Speaker 1: was a stand. Yeah. Um, and there's elements of her 32 00:01:54,600 --> 00:01:58,400 Speaker 1: that I still stand a little bit changed my mind. No, 33 00:01:58,680 --> 00:02:01,240 Speaker 1: you know what, what what we'll get into what she 34 00:02:01,400 --> 00:02:04,240 Speaker 1: is later. Let's let's start by talking about her backstory 35 00:02:04,240 --> 00:02:06,680 Speaker 1: a little bit here. Let's I love a story of wealth, 36 00:02:07,040 --> 00:02:10,280 Speaker 1: a story of wealth and privilege and and what I 37 00:02:10,280 --> 00:02:13,400 Speaker 1: will call I will say her ethnicity is rich like 38 00:02:13,520 --> 00:02:16,120 Speaker 1: she's she she's she's of that background. I'll talk a 39 00:02:16,120 --> 00:02:19,720 Speaker 1: little bit more about that later. To so. Elizabeth Ann 40 00:02:19,840 --> 00:02:24,200 Speaker 1: Holmes was born on February three in Washington, d C. 41 00:02:24,840 --> 00:02:27,240 Speaker 1: Her father was Christian Holmes the Fourth, which might key 42 00:02:27,280 --> 00:02:28,880 Speaker 1: you in on the fact that her family was rich 43 00:02:28,919 --> 00:02:31,520 Speaker 1: as ship, which I wrote down before you spoiled that 44 00:02:31,760 --> 00:02:34,280 Speaker 1: care for her audience. I just didn't I didn't head 45 00:02:34,320 --> 00:02:37,360 Speaker 1: at it, so listen. I'm sorry for spoilers. I'm just 46 00:02:37,400 --> 00:02:39,760 Speaker 1: so excited to talk about Elizabeth. I know, I know 47 00:02:39,880 --> 00:02:42,400 Speaker 1: you're very your big your big stand. I'm a big stand. 48 00:02:42,480 --> 00:02:45,440 Speaker 1: I play her on stage a lot. I know you do. Ye. Yeah, 49 00:02:45,760 --> 00:02:48,120 Speaker 1: you've got a great lab coat. I've got it. I 50 00:02:48,120 --> 00:02:50,440 Speaker 1: don't wear a lab coat. Now. It's the it's the 51 00:02:50,760 --> 00:02:53,679 Speaker 1: it's the turtle turtleneck. Yeah. Yeah, that's kind of the 52 00:02:53,840 --> 00:02:56,919 Speaker 1: iconic look, the turtleneck and the bad hair. That's something 53 00:02:56,919 --> 00:03:00,440 Speaker 1: that we have in common. What the frizzy hair. I mean, 54 00:03:00,480 --> 00:03:03,480 Speaker 1: she needs to like her whole thing. And I know that, 55 00:03:03,520 --> 00:03:05,200 Speaker 1: you know, we come down harder own women because of 56 00:03:05,200 --> 00:03:07,560 Speaker 1: their appearance. But it's like there could have been an 57 00:03:07,600 --> 00:03:10,600 Speaker 1: instructional on how to use a hair straightener more responsibly. 58 00:03:10,960 --> 00:03:14,560 Speaker 1: I guess I never Okay, it's neither here nor It's 59 00:03:14,560 --> 00:03:16,880 Speaker 1: crazy how many billionaires have split ends. It's like, get 60 00:03:16,880 --> 00:03:19,000 Speaker 1: it the fun together. I guess I never noticed that, 61 00:03:19,040 --> 00:03:20,679 Speaker 1: but like, I never do anything to my hair, and 62 00:03:20,720 --> 00:03:24,440 Speaker 1: I always look like a fucking You have infinitely better 63 00:03:24,440 --> 00:03:28,200 Speaker 1: hair than Elizabeth Holmes's due to eat Holmes, I know, 64 00:03:28,280 --> 00:03:33,680 Speaker 1: and to oll money. So her great great great grandfather, 65 00:03:34,000 --> 00:03:36,520 Speaker 1: the first Christian Holmes, was a World War One veteran 66 00:03:36,560 --> 00:03:39,440 Speaker 1: inventor and a surgeon. Part of the University of Cincinnati 67 00:03:39,480 --> 00:03:41,560 Speaker 1: Medical Center is named after him, and he seems to 68 00:03:41,560 --> 00:03:45,000 Speaker 1: have been a legitimately impressive dude. The family fortune, however, 69 00:03:45,080 --> 00:03:47,520 Speaker 1: went back further than that, to an ancestor named Charles 70 00:03:47,560 --> 00:03:51,200 Speaker 1: Louis Fleischman, Hungarian immigrant who founded the Fleischman Yeast Company 71 00:03:51,240 --> 00:03:53,320 Speaker 1: back in the eighteen hundreds. So I forgot she was 72 00:03:53,360 --> 00:03:57,080 Speaker 1: a Yeah, she's a yeast of fortune, which is too 73 00:03:57,120 --> 00:03:59,920 Speaker 1: on the nose. If you're I gotta say, like, if 74 00:04:00,160 --> 00:04:02,240 Speaker 1: like a rich a rich girl going to private school, 75 00:04:02,240 --> 00:04:04,160 Speaker 1: having your money come from a used for that's a 76 00:04:04,200 --> 00:04:08,280 Speaker 1: cross to bear, that's a that's a real like hashtag 77 00:04:08,320 --> 00:04:11,680 Speaker 1: girl boss. Yeah yeah, yeah. Now, pretty much regardless of 78 00:04:11,680 --> 00:04:13,280 Speaker 1: where you live, you can walk into a grocery store 79 00:04:13,280 --> 00:04:15,360 Speaker 1: and pick up a packet of Flishman's bread yeast. I 80 00:04:15,360 --> 00:04:17,760 Speaker 1: actually used to use it when I was eighteen, nineteen 81 00:04:17,760 --> 00:04:20,240 Speaker 1: and twenty to ferment hobo jug wine in my garage. 82 00:04:20,760 --> 00:04:24,360 Speaker 1: In other words, Elizabeth Holmes is descended from America's greatest hero. 83 00:04:25,520 --> 00:04:27,320 Speaker 1: Only costs like a dollar, so you can make a 84 00:04:27,360 --> 00:04:29,800 Speaker 1: lot of really cheap gut wrought wine with it. Is 85 00:04:29,800 --> 00:04:32,039 Speaker 1: it just like a kool Aid package style of kool 86 00:04:32,040 --> 00:04:34,640 Speaker 1: Aid packet style. I wonder where kind of font work 87 00:04:34,680 --> 00:04:36,880 Speaker 1: they've gotten. Just you just put sugar in a bucket 88 00:04:36,920 --> 00:04:39,240 Speaker 1: with water, some Flishman's bread yeast, stick an airlock on 89 00:04:39,240 --> 00:04:40,920 Speaker 1: that fucker. Let it sit two weeks. Then you can 90 00:04:40,920 --> 00:04:44,000 Speaker 1: get wasted for like four dollars. You can get like 91 00:04:44,240 --> 00:04:46,279 Speaker 1: a room full of people wasted for four dollars. We 92 00:04:46,320 --> 00:04:48,160 Speaker 1: used to brew thirty or so gallons at a time 93 00:04:48,520 --> 00:04:50,840 Speaker 1: and get like huge groups of people drunk on this 94 00:04:50,920 --> 00:04:55,680 Speaker 1: like terrible, terrible, terrible. Yeah no, because we would get 95 00:04:55,720 --> 00:04:59,960 Speaker 1: like canned um frozen, like like you get those candle 96 00:05:00,160 --> 00:05:03,120 Speaker 1: concentrated orange juice and stuff, dumped like five of those 97 00:05:03,160 --> 00:05:04,920 Speaker 1: into a five gallon bucket, and we do like six 98 00:05:04,920 --> 00:05:07,280 Speaker 1: of those at a time Fleishman's bread yeast making the 99 00:05:07,360 --> 00:05:09,560 Speaker 1: fucking yeast, and then you'd get to like six or 100 00:05:09,560 --> 00:05:11,880 Speaker 1: seven percent alcohol. So you can get you get like 101 00:05:11,880 --> 00:05:14,640 Speaker 1: a five gallon bucket of that. You can ruin some period. Yeah, 102 00:05:14,720 --> 00:05:17,960 Speaker 1: you can really ruin some lives and break up some 103 00:05:18,040 --> 00:05:20,080 Speaker 1: marriages that way. You remind me at the end of 104 00:05:20,080 --> 00:05:22,000 Speaker 1: the story, I'll tell you how we used Fleishman's bread 105 00:05:22,040 --> 00:05:24,880 Speaker 1: yeast to murder the Flash when I was twenty year old. 106 00:05:24,960 --> 00:05:28,159 Speaker 1: Oh okay, alright, So so this is some good uh, 107 00:05:28,279 --> 00:05:32,000 Speaker 1: some good utilitarian yeast, great yeast. Good. We're not we're 108 00:05:32,000 --> 00:05:35,039 Speaker 1: not against the yeast. Well, listen, there's a lot of 109 00:05:35,040 --> 00:05:38,400 Speaker 1: situations in which easter is not welcome. This yeast is 110 00:05:38,520 --> 00:05:41,039 Speaker 1: very welcome. This okay, this is welcome yeast. I like 111 00:05:41,120 --> 00:05:44,839 Speaker 1: their font I just had to look at solid. They've 112 00:05:44,880 --> 00:05:49,080 Speaker 1: clearly been added a while. Yeah. So in this CEO 113 00:05:49,320 --> 00:05:51,919 Speaker 1: was out for blood. The two thousand fourteen Fortune article 114 00:05:51,960 --> 00:05:55,120 Speaker 1: that ignited public interest in Elizabeth Holmes and Paranos. Her 115 00:05:55,160 --> 00:05:58,200 Speaker 1: father was described as a man who quote has devoted 116 00:05:58,200 --> 00:06:00,080 Speaker 1: most of his life to public minded government so of 117 00:06:00,160 --> 00:06:03,360 Speaker 1: US disaster relief in Africa, international development projects in China, 118 00:06:03,600 --> 00:06:06,080 Speaker 1: environmental work in this country, and is currently the Global 119 00:06:06,120 --> 00:06:09,600 Speaker 1: Water Coordinator for the US Agency for International Development. He 120 00:06:09,680 --> 00:06:12,720 Speaker 1: met Elizabeth's mother Noel on Capitol Hill, where she worked 121 00:06:12,760 --> 00:06:18,440 Speaker 1: as a Congressional Committee staffer. That's his parents distinguished, distinguished 122 00:06:18,560 --> 00:06:21,520 Speaker 1: it some distinguished ship. Depending on who you hear from, 123 00:06:21,600 --> 00:06:23,839 Speaker 1: you'll run into two very different pictures of her childhood. 124 00:06:23,960 --> 00:06:26,440 Speaker 1: In early interviews, Elizabeth would claim that her famous great 125 00:06:26,480 --> 00:06:29,960 Speaker 1: great great granddad's example was her earliest motivation. She read 126 00:06:29,960 --> 00:06:31,600 Speaker 1: a biography of him when she was a little kid, 127 00:06:31,680 --> 00:06:34,600 Speaker 1: and later told fortune he ultimately worked himself to death, 128 00:06:34,600 --> 00:06:36,760 Speaker 1: but he was so passionate in what he did. I wondered, 129 00:06:36,880 --> 00:06:40,839 Speaker 1: would I want to be a doctor. Since her family 130 00:06:40,839 --> 00:06:42,719 Speaker 1: was rich and connected as fu, some of her family 131 00:06:42,720 --> 00:06:44,839 Speaker 1: friends were able to arrange for her to watch surgeries 132 00:06:44,880 --> 00:06:46,440 Speaker 1: in order to see if she really wanted to get 133 00:06:46,480 --> 00:06:48,360 Speaker 1: into medicine as a career. Wait, how when she was 134 00:06:48,400 --> 00:06:50,000 Speaker 1: how old? I think when she was like a like 135 00:06:50,080 --> 00:06:52,600 Speaker 1: a kid and like like like grade school, you're going 136 00:06:52,640 --> 00:06:55,039 Speaker 1: to watch surgeries? Yeah you can do that, ship? Why not? 137 00:06:55,680 --> 00:06:59,320 Speaker 1: I don't know. I wouldn't let a child do that. Man, 138 00:06:59,400 --> 00:07:01,080 Speaker 1: if I ever have kid, that's what they're doing from 139 00:07:01,160 --> 00:07:04,760 Speaker 1: day one. They're watching straight up, no kindergarten, no first grade, 140 00:07:04,800 --> 00:07:09,080 Speaker 1: just surgeries. They're going to theaters and it's just you're 141 00:07:09,160 --> 00:07:11,440 Speaker 1: gonna be sitting in that ore you watch them take 142 00:07:11,440 --> 00:07:13,520 Speaker 1: that gall bladder out. It would be do you think 143 00:07:13,520 --> 00:07:16,480 Speaker 1: when they had like surgeries like in theaters that you 144 00:07:16,480 --> 00:07:20,160 Speaker 1: could like have your own box. They're like wasted, Yeah, 145 00:07:21,840 --> 00:07:25,480 Speaker 1: like cheer people be like just kill him. I would 146 00:07:25,520 --> 00:07:27,840 Speaker 1: love to like pop a couple of oxy and like 147 00:07:27,880 --> 00:07:30,600 Speaker 1: a bottles of steel reserve and then like smoke a 148 00:07:30,600 --> 00:07:34,480 Speaker 1: cigar and watch a surgery and Michael someone getting gall 149 00:07:34,520 --> 00:07:38,240 Speaker 1: bladder ship talk the surgeon call that a fucking incision, 150 00:07:38,400 --> 00:07:43,240 Speaker 1: fucking foul. Just some Niley stuff. You can make a 151 00:07:43,240 --> 00:07:45,800 Speaker 1: lot of money selling that as a business, Like poor 152 00:07:45,880 --> 00:07:48,000 Speaker 1: people get free surgeries and the rich get drunk and 153 00:07:48,040 --> 00:07:50,600 Speaker 1: heckle them. I feel like that's like America is ready 154 00:07:50,600 --> 00:07:52,520 Speaker 1: for that was it. We're reaching a point in society 155 00:07:52,560 --> 00:07:54,480 Speaker 1: where I feel like that may in fact be welcome. 156 00:07:54,800 --> 00:07:56,520 Speaker 1: We just need to find a way to add some 157 00:07:56,560 --> 00:07:58,640 Speaker 1: sort of We had to add the cloud to it 158 00:07:58,880 --> 00:08:02,240 Speaker 1: to make it seem vague le tech adjacent. It's got 159 00:08:02,240 --> 00:08:04,120 Speaker 1: to have that twitch thing where everyone can comment while 160 00:08:04,120 --> 00:08:07,560 Speaker 1: the surgery is going exactly or like a Facebook live 161 00:08:07,600 --> 00:08:10,920 Speaker 1: stream where it's like very heart for kill him. We 162 00:08:10,920 --> 00:08:13,200 Speaker 1: get five likes in the next hour, the surgeon will 163 00:08:13,280 --> 00:08:17,240 Speaker 1: dab before Yeah. If we get one thousand, like, the 164 00:08:17,280 --> 00:08:20,960 Speaker 1: surgeon will not perform surgery. He'll chug a forty. You 165 00:08:21,000 --> 00:08:25,520 Speaker 1: can just kill people, fok oh as well make it 166 00:08:25,600 --> 00:08:28,640 Speaker 1: that direct, rather than like nuts killing people on Facebook 167 00:08:28,640 --> 00:08:31,080 Speaker 1: and using their platform to spread it. Just have Facebook. Yeah, 168 00:08:31,120 --> 00:08:33,400 Speaker 1: now you can just kill cut out the middleman. Let's 169 00:08:33,440 --> 00:08:35,480 Speaker 1: just do what we were trying to do the whole time. 170 00:08:37,080 --> 00:08:39,080 Speaker 1: This has gotten off the rails a little bit well. 171 00:08:40,320 --> 00:08:43,920 Speaker 1: So Elizabeth claims that she did not enjoy watching surgeries. 172 00:08:43,960 --> 00:08:45,960 Speaker 1: She was utterly revolted by the side of blood and 173 00:08:45,960 --> 00:08:48,920 Speaker 1: developed a phobia of it. Quote. The concept of sticking 174 00:08:48,920 --> 00:08:50,880 Speaker 1: a needle into you and sucking your blood out, Home says, 175 00:08:50,920 --> 00:08:53,160 Speaker 1: has always been profoundly disturbing to her. As a child, 176 00:08:53,200 --> 00:08:55,120 Speaker 1: She says, when I knew I needed to get a test, 177 00:08:55,160 --> 00:08:57,640 Speaker 1: I would really be focused on that for weeks in advance. 178 00:08:58,320 --> 00:09:00,319 Speaker 1: She had a real big thing about blood, which I 179 00:09:00,320 --> 00:09:02,520 Speaker 1: guess a lot of people do. I've never had any. 180 00:09:02,559 --> 00:09:04,040 Speaker 1: I was sick as a kid, so I just grew 181 00:09:04,120 --> 00:09:05,360 Speaker 1: up used to it. But I guess a lot of 182 00:09:05,400 --> 00:09:09,079 Speaker 1: people like that. I've always been very squeamish with stuff 183 00:09:09,120 --> 00:09:11,240 Speaker 1: like that you had leeches on your body at one point. 184 00:09:11,280 --> 00:09:12,959 Speaker 1: I've had leeches on my body at one point. I'm 185 00:09:12,960 --> 00:09:17,280 Speaker 1: all about immersion therapy. Yeah, okay, yeah, but I don't 186 00:09:17,320 --> 00:09:21,120 Speaker 1: like blood. I can't like watch Gray's Anatomy. I can't either, 187 00:09:21,200 --> 00:09:23,560 Speaker 1: but for totally different reasons because I hate surgery and 188 00:09:23,600 --> 00:09:27,400 Speaker 1: I hate sex, my two at least favorite things. I 189 00:09:27,440 --> 00:09:30,079 Speaker 1: hate sex and I love surgery. That well, there's plenty 190 00:09:30,120 --> 00:09:33,080 Speaker 1: of shows for you, a million shows for you. Oh yeah, 191 00:09:33,080 --> 00:09:35,120 Speaker 1: I just watch House and touch myself all night long. 192 00:09:35,440 --> 00:09:38,320 Speaker 1: It's great. When she was nine, Elizabeth's dad took a 193 00:09:38,320 --> 00:09:42,000 Speaker 1: private sector gig with Tinnaco, a giant automotive equipment manufacturer. 194 00:09:42,040 --> 00:09:44,600 Speaker 1: The family moved from DC to Houston. Christian Homes the 195 00:09:44,600 --> 00:09:47,240 Speaker 1: fourth felt bad about forcing his children, Elizabeth and Christian 196 00:09:47,280 --> 00:09:49,400 Speaker 1: Homes the fifth, to move to Texas, which is a 197 00:09:49,440 --> 00:09:51,840 Speaker 1: reasonable way to feel about moving your children to Texas. 198 00:09:51,880 --> 00:09:54,679 Speaker 1: But like, rich white people in Houston are like chaotic evil, 199 00:09:54,760 --> 00:09:59,000 Speaker 1: Like they're fine. I mean, I don't want to throw 200 00:09:59,000 --> 00:10:00,800 Speaker 1: too much shade on Hugh because I have a lot 201 00:10:00,800 --> 00:10:03,040 Speaker 1: of friends there, but I know that I don't know anything. 202 00:10:03,120 --> 00:10:05,280 Speaker 1: I don't know anyone in Houston. It's like if you 203 00:10:05,360 --> 00:10:09,200 Speaker 1: built a city the density of downtown l A, but 204 00:10:09,360 --> 00:10:13,160 Speaker 1: on a swamp. Interesting. Yeah, how does that affect you 205 00:10:13,200 --> 00:10:19,040 Speaker 1: as a person? Well, I see you'd rather not say 206 00:10:19,200 --> 00:10:21,320 Speaker 1: it's not my favorite city, but other people like it 207 00:10:21,400 --> 00:10:25,000 Speaker 1: quite a lot, right now? Uh? Yes, Christian Homes. The 208 00:10:25,000 --> 00:10:27,040 Speaker 1: fourth was really concerned about moving as gets to Texas. 209 00:10:27,080 --> 00:10:29,280 Speaker 1: Elizabeth tried to reassure her dad by sending him a 210 00:10:29,360 --> 00:10:32,599 Speaker 1: letter assuring him, quote, I love adventures. She says she 211 00:10:32,720 --> 00:10:34,840 Speaker 1: was excited to move to Texas because it was big 212 00:10:34,880 --> 00:10:37,760 Speaker 1: on science. Which might be the most glaring misconception about 213 00:10:37,800 --> 00:10:40,600 Speaker 1: Texas that I have ever heard is that Elizabeth Holmes's 214 00:10:40,720 --> 00:10:44,439 Speaker 1: biggest lot. Yeah like that right there. Nothing comes close 215 00:10:44,480 --> 00:10:46,640 Speaker 1: to that. I have had more people that I can 216 00:10:46,679 --> 00:10:49,280 Speaker 1: account explain to me angrily that the world is six 217 00:10:49,320 --> 00:10:52,280 Speaker 1: thousand years old in Texas, So I do not get 218 00:10:52,320 --> 00:10:57,640 Speaker 1: that anyway. In every interview that Elizabeth has ever given, 219 00:10:57,679 --> 00:10:59,960 Speaker 1: basically she's made sure the interview reported on the first 220 00:11:00,000 --> 00:11:02,480 Speaker 1: sentence that she wrote in that letter to her dad, quote, 221 00:11:02,640 --> 00:11:04,360 Speaker 1: what I really want out of life is to discover 222 00:11:04,480 --> 00:11:07,679 Speaker 1: something new, something mankind didn't know was possible. To do. 223 00:11:08,480 --> 00:11:11,120 Speaker 1: So this is the homes approved version of the story. 224 00:11:11,160 --> 00:11:13,959 Speaker 1: It's the one most reporters and journalists and quote unquote 225 00:11:14,000 --> 00:11:17,360 Speaker 1: journalists reported or repeated in superpositive articles about Holmes and 226 00:11:17,400 --> 00:11:19,720 Speaker 1: Thereinos back in two thousand and fourteen. But it is 227 00:11:19,720 --> 00:11:22,760 Speaker 1: not the only version of her story. Dr Richard Fuse 228 00:11:22,880 --> 00:11:25,400 Speaker 1: is a psychiatrist who has known Elizabeth and her family 229 00:11:25,400 --> 00:11:27,840 Speaker 1: since she was a wee little child. He also got 230 00:11:27,880 --> 00:11:30,480 Speaker 1: embroiled in a gigantic, nasty lawsuit with Thearinos over a 231 00:11:30,520 --> 00:11:32,800 Speaker 1: patent issue in two thousand eleven. The whole thing was 232 00:11:32,840 --> 00:11:34,480 Speaker 1: a nightmare for his family and kind of tore his 233 00:11:34,520 --> 00:11:36,720 Speaker 1: life apart for years. It cost him five million dollars. 234 00:11:36,720 --> 00:11:38,640 Speaker 1: So Fuse is the furthest thing in the world from 235 00:11:38,679 --> 00:11:42,640 Speaker 1: an unbiased, objective commenter on the life of Elizabeth Holmes. 236 00:11:42,679 --> 00:11:45,080 Speaker 1: But a number of other people's stories back up things 237 00:11:45,080 --> 00:11:47,160 Speaker 1: that he says. So he also grew up like she 238 00:11:47,360 --> 00:11:49,920 Speaker 1: grew up alongside him. So he's got he's got some perspective. 239 00:11:50,440 --> 00:11:52,760 Speaker 1: I believe some things he says. I'm more questioning about others. 240 00:11:53,320 --> 00:11:55,720 Speaker 1: Um So here are some excerpts from a poorly written 241 00:11:55,760 --> 00:11:59,000 Speaker 1: Forbes article that interviewed Fuse about Holmes's background. Sorry but 242 00:11:59,080 --> 00:12:02,320 Speaker 1: poorly written Forbes. I know this is the only one quote. 243 00:12:02,559 --> 00:12:04,920 Speaker 1: A few said that Elizabeth's parents were striving to improve 244 00:12:04,960 --> 00:12:07,440 Speaker 1: their position in the world. As he said quote the 245 00:12:07,480 --> 00:12:09,640 Speaker 1: Holmes family parents were Christian in a well where our 246 00:12:09,640 --> 00:12:11,920 Speaker 1: neighbors in Virginia. They were very political and aspired to 247 00:12:12,000 --> 00:12:14,400 Speaker 1: use their Washington connections to get money. Our kids grew 248 00:12:14,440 --> 00:12:16,240 Speaker 1: up with their kids. They were jealous of our family. 249 00:12:16,280 --> 00:12:18,120 Speaker 1: I was a physician who had many patients and made 250 00:12:18,120 --> 00:12:21,760 Speaker 1: money off of them. And New Arabic. Okay, it seems 251 00:12:21,800 --> 00:12:24,240 Speaker 1: like a lot of bragging about a lot of bragging. 252 00:12:24,280 --> 00:12:26,079 Speaker 1: He seems like that kind of guy. A few says 253 00:12:26,120 --> 00:12:28,959 Speaker 1: that holmes mother tried to push Elizabeth to be like him. 254 00:12:29,200 --> 00:12:32,520 Speaker 1: Dr Richard Fuse quote, Noel programmed Elizabeth to be like 255 00:12:32,559 --> 00:12:34,920 Speaker 1: me and Vinton learn a language. I'm a psychiatrist and 256 00:12:34,960 --> 00:12:37,079 Speaker 1: a family practitioner and would tell a father and mother 257 00:12:37,160 --> 00:12:39,080 Speaker 1: not to treat their child that way. She'll be what 258 00:12:39,160 --> 00:12:40,959 Speaker 1: she'll be. Don't drive her into something she doesn't want 259 00:12:40,960 --> 00:12:42,760 Speaker 1: to do. And the pictures I have with our family, 260 00:12:42,800 --> 00:12:44,800 Speaker 1: she's withdrawn. She's always pulled to the side and was 261 00:12:44,800 --> 00:12:47,200 Speaker 1: not naturally a motive as a child. I don't know. 262 00:12:47,320 --> 00:12:50,760 Speaker 1: I mean I I I'm always had Like if you 263 00:12:50,800 --> 00:12:54,600 Speaker 1: think about like how your neighbor would describe you as 264 00:12:54,640 --> 00:12:58,640 Speaker 1: a child, Like if if Kevin O'Connell, the retired Brockton 265 00:12:58,800 --> 00:13:02,400 Speaker 1: cop or, did describe me as a child and presented 266 00:13:03,200 --> 00:13:05,680 Speaker 1: like twenty years later as canon. I don't know, I 267 00:13:05,720 --> 00:13:08,320 Speaker 1: don't I don't love he did that. Yeah, I don't 268 00:13:08,360 --> 00:13:10,720 Speaker 1: love it either. It's also though that like we have 269 00:13:10,920 --> 00:13:13,640 Speaker 1: the stuff that she approved and told journalists, and we 270 00:13:13,679 --> 00:13:15,360 Speaker 1: have the other side of this from this other guy. 271 00:13:15,440 --> 00:13:17,000 Speaker 1: So I'm going to present you with both and with 272 00:13:17,080 --> 00:13:19,440 Speaker 1: some other stuff in between. Yeah, because because her like 273 00:13:19,800 --> 00:13:23,880 Speaker 1: approved story is so myfic it is, and so like 274 00:13:23,960 --> 00:13:25,800 Speaker 1: you have to try to anyway, I'm going to present 275 00:13:25,960 --> 00:13:28,800 Speaker 1: a number of different totally like to attempt and again, 276 00:13:28,920 --> 00:13:31,560 Speaker 1: like Fuse is obviously the most biased source we have 277 00:13:31,720 --> 00:13:34,640 Speaker 1: on Holmes's background, but he also knew her her whole life. 278 00:13:34,679 --> 00:13:36,840 Speaker 1: How many more times does he say he's a physician. 279 00:13:37,679 --> 00:13:41,480 Speaker 1: It gets a little bit less pretentious after that. Um okay, Yeah, 280 00:13:41,640 --> 00:13:45,839 Speaker 1: So the book Bad Blood by John Carrew provides It's 281 00:13:45,840 --> 00:13:48,800 Speaker 1: a really good book, provides additional context who Holmes his 282 00:13:48,920 --> 00:13:51,720 Speaker 1: childhood ambition. It paints a picture somewhere between how Holmes 283 00:13:51,760 --> 00:13:53,880 Speaker 1: wanted to be known to fortune and how Dr Fuse 284 00:13:53,880 --> 00:13:56,040 Speaker 1: paints her quote. When she was nine or ten, one 285 00:13:56,080 --> 00:13:57,880 Speaker 1: of her relatives asked her at a family gathering the 286 00:13:57,960 --> 00:14:00,400 Speaker 1: question every boy and girl was asked, sooner orly, what 287 00:14:00,440 --> 00:14:02,160 Speaker 1: do you want to do when you grow up? Without 288 00:14:02,200 --> 00:14:04,959 Speaker 1: skipping a beat, Elizabeth replied, I want to be a billionaire. 289 00:14:05,200 --> 00:14:07,840 Speaker 1: Wouldn't you rather be president? The relative asked, no, the 290 00:14:07,840 --> 00:14:10,199 Speaker 1: president will marry me because I'll have a billion dollars. 291 00:14:10,440 --> 00:14:12,560 Speaker 1: These were not the idle words of a child. Elizabeth 292 00:14:12,640 --> 00:14:15,280 Speaker 1: uttered them with the utmost seriousness and determination. According to 293 00:14:15,320 --> 00:14:19,120 Speaker 1: a family member who witnessed the scene, so cool was 294 00:14:19,200 --> 00:14:22,560 Speaker 1: the baby? Yeah, I mean I just a billionaire. The 295 00:14:22,600 --> 00:14:25,000 Speaker 1: way people build up people's childhood stories is always so 296 00:14:25,040 --> 00:14:27,440 Speaker 1: weird to me, like anyone could have been. Like Jamie 297 00:14:27,440 --> 00:14:31,440 Speaker 1: told us that she was going to like marry Daniel Radcliffe, 298 00:14:31,440 --> 00:14:34,400 Speaker 1: and she sounded pretty fucking serious about it, like when 299 00:14:34,440 --> 00:14:36,120 Speaker 1: I was like nine or ten years old. For me, 300 00:14:36,200 --> 00:14:39,280 Speaker 1: it would be Robert wanted to make dinosaurs like in 301 00:14:39,320 --> 00:14:41,600 Speaker 1: the Park books, and that's the only thing he talked 302 00:14:41,640 --> 00:14:44,760 Speaker 1: about is becoming a scientist. You really wanted to make 303 00:14:44,800 --> 00:14:47,440 Speaker 1: some fucking dinosaurs, and I still do. If I ever 304 00:14:47,440 --> 00:14:50,640 Speaker 1: get a billion dollars, all of it's going to the President, 305 00:14:50,640 --> 00:14:53,640 Speaker 1: will marry you and then the dinosaur thing. God, I 306 00:14:53,680 --> 00:14:57,320 Speaker 1: just think about his his warm, rasping lips on my 307 00:14:57,440 --> 00:15:00,280 Speaker 1: on the back of my neck, and Jamie nothing my 308 00:15:00,320 --> 00:15:05,240 Speaker 1: heart more than I mean, we will feel bad Ford 309 00:15:05,280 --> 00:15:08,120 Speaker 1: about you. I know what, you know what play's got 310 00:15:08,120 --> 00:15:10,320 Speaker 1: to play. That's true, That's what I'm gonna It's true. 311 00:15:13,080 --> 00:15:15,280 Speaker 1: Carrierew's interviews with people who knew Holmes as a child 312 00:15:15,320 --> 00:15:17,320 Speaker 1: revealed that she was a huge fan of Monopoly and 313 00:15:17,360 --> 00:15:19,680 Speaker 1: was famously competitive at the game. One of those people 314 00:15:19,680 --> 00:15:21,760 Speaker 1: who demands you actually finished the game, even once it 315 00:15:21,800 --> 00:15:23,680 Speaker 1: becomes clear that they're going to win, because you can't 316 00:15:23,720 --> 00:15:25,600 Speaker 1: roll the die without landing on one of their properties. 317 00:15:25,960 --> 00:15:27,920 Speaker 1: She usually won, but when she lost, she would run 318 00:15:27,960 --> 00:15:30,200 Speaker 1: off in a huff. Carrierew notes that more than once 319 00:15:30,320 --> 00:15:32,480 Speaker 1: she ran through the screen of the condos front door. 320 00:15:32,560 --> 00:15:38,040 Speaker 1: Oh my god, that's pretty Yeah, that's very like that one. 321 00:15:38,080 --> 00:15:40,320 Speaker 1: I believe because that both sounds like someone who grows 322 00:15:40,400 --> 00:15:42,000 Speaker 1: up to do what she did, and also sounds like 323 00:15:42,040 --> 00:15:45,720 Speaker 1: a nine year old just sounds like a child who 324 00:15:45,800 --> 00:15:51,560 Speaker 1: isn't totally sure how to deal with failure at Yeah. 325 00:15:51,920 --> 00:15:53,840 Speaker 1: In those early funding articles, a lot of hay was 326 00:15:53,880 --> 00:15:55,640 Speaker 1: made out of the fact that Elizabeth Holmes learned to 327 00:15:55,640 --> 00:15:57,960 Speaker 1: speak Mandarin while she was young, during a study abroad 328 00:15:58,760 --> 00:16:01,400 Speaker 1: well before and during a a broad program in China. 329 00:16:03,120 --> 00:16:06,040 Speaker 1: Fortune article made it sound incredibly impressive. Quote Elizabeth and 330 00:16:06,040 --> 00:16:08,160 Speaker 1: her brother, who was now director of product management at 331 00:16:08,160 --> 00:16:11,280 Speaker 1: Thearanous totally above board there had both been intrigued by 332 00:16:11,280 --> 00:16:13,240 Speaker 1: their father's work in China. So when Elizabeth was about 333 00:16:13,280 --> 00:16:14,760 Speaker 1: nine and her parents found them both a tutor to 334 00:16:14,800 --> 00:16:17,680 Speaker 1: teach the Mandarin on Saturdays. Elizabeth been supplanted those lessons 335 00:16:17,720 --> 00:16:19,960 Speaker 1: with summer language programs at Stanford and later at two 336 00:16:20,040 --> 00:16:23,680 Speaker 1: universities in Beijing. Captivated by computer programming in high school, 337 00:16:23,680 --> 00:16:26,080 Speaker 1: she was struck by how the Chinese university's information technology 338 00:16:26,080 --> 00:16:29,360 Speaker 1: facilities lagged behind what she was used. To rectify that situation, 339 00:16:29,440 --> 00:16:31,480 Speaker 1: she started her first business while still in high school, 340 00:16:31,480 --> 00:16:35,280 Speaker 1: selling C plus plus compilers to Chinese universities. So it 341 00:16:35,280 --> 00:16:37,560 Speaker 1: always starts with like a weird early scam. One of 342 00:16:37,600 --> 00:16:42,160 Speaker 1: my favorite um because I have like vested interest in 343 00:16:42,840 --> 00:16:45,920 Speaker 1: girl bloss scammers, right, And one of my favorite examples 344 00:16:45,920 --> 00:16:49,800 Speaker 1: of that is Lisa Frank in college, like the Unicorn 345 00:16:49,960 --> 00:16:55,080 Speaker 1: art weird Things and stuff, all the trapper Keepers. She 346 00:16:55,240 --> 00:17:00,000 Speaker 1: started by um like basically stealing art and design from 347 00:17:00,120 --> 00:17:03,240 Speaker 1: Native American artists and selling them at an uptick and 348 00:17:03,280 --> 00:17:05,640 Speaker 1: then like later based a lot of her designs installed. 349 00:17:05,640 --> 00:17:08,160 Speaker 1: Like it's just like there's always like an early scam. Yeah, 350 00:17:08,240 --> 00:17:11,080 Speaker 1: there's always with everyone, I mean, of all genders. It's 351 00:17:11,080 --> 00:17:13,520 Speaker 1: always like a proto scam. Same with John McAfee if 352 00:17:13,560 --> 00:17:15,520 Speaker 1: you go back and he was like, yeah, they always 353 00:17:15,880 --> 00:17:18,760 Speaker 1: they're like, oh, no one's gonna say anything, Okay, cool, 354 00:17:19,280 --> 00:17:21,880 Speaker 1: moving along. That's why they get good enough to do 355 00:17:22,160 --> 00:17:24,919 Speaker 1: billion and multimillion dollar scams is because they start when 356 00:17:24,920 --> 00:17:27,200 Speaker 1: they're fucking twelve. I mean there's even like a case 357 00:17:27,240 --> 00:17:29,520 Speaker 1: to be made for like Billy McFarland doing something like 358 00:17:29,520 --> 00:17:33,119 Speaker 1: that where the Firefest guy. Yeah, yeah, like you're just 359 00:17:33,119 --> 00:17:36,120 Speaker 1: dipping your toe and like, oh, no one's checking. Great, 360 00:17:36,200 --> 00:17:38,600 Speaker 1: Let's see how far we can Yeah, how much further 361 00:17:38,640 --> 00:17:42,760 Speaker 1: can we can we push this? Liz you rascal, you 362 00:17:42,960 --> 00:17:46,000 Speaker 1: rascal so uh fuses recollections make that period of her 363 00:17:46,000 --> 00:17:48,359 Speaker 1: life sound like it's at best a little bit inflated. 364 00:17:48,680 --> 00:17:50,800 Speaker 1: He alleges that she was enrolled in the Study Abroad 365 00:17:50,800 --> 00:17:53,879 Speaker 1: program as a backdoor into Stanford. Quote. She was a 366 00:17:53,880 --> 00:17:55,800 Speaker 1: fair student with low grades. Her parents had heard through 367 00:17:55,840 --> 00:17:57,560 Speaker 1: their channels that she could improve her chances if she 368 00:17:57,560 --> 00:17:59,720 Speaker 1: took a summer program there and learned a language while 369 00:17:59,720 --> 00:18:01,520 Speaker 1: in high cool, they put her into summer program at 370 00:18:01,560 --> 00:18:04,720 Speaker 1: Stanford to study Mandarin. Now, Carrie Row's book makes it 371 00:18:04,760 --> 00:18:06,919 Speaker 1: sound a little better than that. According to his reporting, 372 00:18:07,000 --> 00:18:09,680 Speaker 1: she talked her way into the Stanford summer program um. 373 00:18:09,720 --> 00:18:12,040 Speaker 1: Whatever the truth, she eventually went abroad to China to 374 00:18:12,080 --> 00:18:15,359 Speaker 1: continue her studies. Fuse does not believe she thrived there. Quote, 375 00:18:15,359 --> 00:18:17,560 Speaker 1: Elizabeth would call the house from China crying. Noel would 376 00:18:17,560 --> 00:18:19,480 Speaker 1: take the calls from Elizabeth and asked my ex wife 377 00:18:19,480 --> 00:18:22,159 Speaker 1: to pick up. Elizabeth said, the people are dirty, the 378 00:18:22,160 --> 00:18:24,159 Speaker 1: hotel is filthy, and I want to come home. But 379 00:18:24,240 --> 00:18:26,200 Speaker 1: Noel would tell her to stop complaining and get with 380 00:18:26,240 --> 00:18:30,760 Speaker 1: the program. Okay, so it sounds like a Brady Rich 381 00:18:30,840 --> 00:18:33,040 Speaker 1: kid abroad. Brady Rich kid abroad. I'm not sure what 382 00:18:33,080 --> 00:18:34,879 Speaker 1: to make of her Mandarin. Some people say she was 383 00:18:35,240 --> 00:18:36,920 Speaker 1: good at it. But it's one of those things like 384 00:18:37,359 --> 00:18:39,960 Speaker 1: like Mark Zuckerberg learned Mandarin, and you you hear reports 385 00:18:39,960 --> 00:18:41,560 Speaker 1: from my Chinese people that like, yeah, you know, he's 386 00:18:41,560 --> 00:18:44,040 Speaker 1: not great, but like he's able to hold a conversation 387 00:18:44,080 --> 00:18:45,879 Speaker 1: and stuff, like he's got like a basic level and 388 00:18:45,880 --> 00:18:48,200 Speaker 1: that's impressive because it's really hard to learn. I haven't 389 00:18:48,280 --> 00:18:51,480 Speaker 1: run into any Chinese people commenting on Elizabeth Holmes's level 390 00:18:51,520 --> 00:18:54,359 Speaker 1: of Mandarin. I mean, does she have really much of 391 00:18:54,359 --> 00:18:57,919 Speaker 1: a history in that country other than like early in 392 00:18:57,920 --> 00:19:00,399 Speaker 1: her life. Not really. She went there several times and stuff. 393 00:19:00,400 --> 00:19:04,400 Speaker 1: That's where she met Sonny because that was like a yeah, yeah, 394 00:19:04,400 --> 00:19:06,720 Speaker 1: like he's like, oh, you speak Mandarin high. I'm all 395 00:19:06,800 --> 00:19:09,160 Speaker 1: a lot of people first, And that's part of why 396 00:19:09,160 --> 00:19:11,119 Speaker 1: I'm a little questioning about how good she was at it, 397 00:19:11,119 --> 00:19:13,280 Speaker 1: because like everyone who's impressed by her Mandarin is a 398 00:19:13,320 --> 00:19:15,800 Speaker 1: person who doesn't speak Mandarin. Right, It's like I know 399 00:19:15,880 --> 00:19:18,359 Speaker 1: Mark Zuckerberg because like I don't like Mark Zuckerberg, but 400 00:19:18,400 --> 00:19:20,639 Speaker 1: I know he's acquired an impressive level of it because 401 00:19:20,720 --> 00:19:22,280 Speaker 1: Chinese people are like, yeah, I know he was able 402 00:19:22,320 --> 00:19:25,040 Speaker 1: to give a speech and in China he does a 403 00:19:25,080 --> 00:19:26,960 Speaker 1: lot of work in China. He married a Chinese woman, 404 00:19:27,119 --> 00:19:29,640 Speaker 1: like he put in the time, I don't know about home. 405 00:19:29,800 --> 00:19:32,360 Speaker 1: He is a hero. He's a hero here. He wore 406 00:19:32,400 --> 00:19:34,400 Speaker 1: a tie for a whole year during the financial collapse. 407 00:19:35,080 --> 00:19:43,520 Speaker 1: Oh yeah, what so gross? Stand nobody can god that 408 00:19:43,760 --> 00:19:46,520 Speaker 1: chinless dork. I'm sure he has like a thirty thousand 409 00:19:46,560 --> 00:19:48,800 Speaker 1: square foot house because no one and his family wants 410 00:19:48,800 --> 00:19:50,520 Speaker 1: to be that close to him either. Do you think 411 00:19:50,520 --> 00:19:52,840 Speaker 1: that he has one of those bitcoin ties like that 412 00:19:52,880 --> 00:19:56,240 Speaker 1: guy in the Elizabeth homes HBO documentary. Depending on we 413 00:19:56,240 --> 00:19:58,120 Speaker 1: got to talk about the bitcoin tie guy, I'm gonna 414 00:19:58,240 --> 00:20:01,440 Speaker 1: fight him, and I'm gonna if you wear a bitcoin tie, 415 00:20:01,560 --> 00:20:04,199 Speaker 1: who then do you think you are? What are you 416 00:20:04,240 --> 00:20:08,280 Speaker 1: playing at? Motherfucker? Yeah? What's your fucking game here? Also, 417 00:20:08,440 --> 00:20:12,400 Speaker 1: I want you are the only person I would let 418 00:20:12,440 --> 00:20:14,359 Speaker 1: be on if when they do the documentary about all 419 00:20:14,359 --> 00:20:18,280 Speaker 1: the scams I'm running, I will be offended. You don't 420 00:20:18,280 --> 00:20:20,119 Speaker 1: wear a bitcoin time, you know, wear a bitcoin tie 421 00:20:20,160 --> 00:20:23,560 Speaker 1: and just like, yeah, we had no idea. I'm going 422 00:20:23,600 --> 00:20:27,960 Speaker 1: to play very dumb with the nasty ty shirt that 423 00:20:28,000 --> 00:20:30,360 Speaker 1: you're wearing. Yeah, and then I'll just and then I'd 424 00:20:30,359 --> 00:20:32,280 Speaker 1: be like Robert was always saying the earth is flat. 425 00:20:32,320 --> 00:20:37,239 Speaker 1: I don't know why everyone's so surprised it is, though. Okay, So, 426 00:20:37,560 --> 00:20:40,080 Speaker 1: given the recent revelations about rich families paying millions of 427 00:20:40,119 --> 00:20:41,679 Speaker 1: dollars to find ways to sneak your kids in the 428 00:20:41,680 --> 00:20:44,159 Speaker 1: fancy colleges, you might be wondering, why didn't Holmes this 429 00:20:44,200 --> 00:20:46,200 Speaker 1: family just pose her in the swimming pool playing fake 430 00:20:46,240 --> 00:20:48,840 Speaker 1: water polo to get her into Stanford. Well, it's because 431 00:20:48,840 --> 00:20:50,640 Speaker 1: that kind of scamming costs money, and by the time 432 00:20:50,680 --> 00:20:52,760 Speaker 1: she was looking to get into college, the Holmes family 433 00:20:52,880 --> 00:20:55,840 Speaker 1: was if not really broke, then at least rich people 434 00:20:55,880 --> 00:21:00,200 Speaker 1: broke upper middle class. Well it's more than like this 435 00:21:00,240 --> 00:21:02,000 Speaker 1: is what I was talking about with like ethnically rich 436 00:21:02,240 --> 00:21:04,520 Speaker 1: as as opposed to like just have a lot of money, 437 00:21:04,600 --> 00:21:06,240 Speaker 1: Like if you're in the NFL, or you become a 438 00:21:06,240 --> 00:21:08,440 Speaker 1: movie star and you get like tens of millions or 439 00:21:08,520 --> 00:21:10,840 Speaker 1: hundreds of millions of dollars, a lot of those people 440 00:21:11,119 --> 00:21:12,440 Speaker 1: or you win the lottery, a lot of those people 441 00:21:12,440 --> 00:21:15,840 Speaker 1: wind up broke eventually. If you're born rich, if into 442 00:21:15,880 --> 00:21:18,639 Speaker 1: like if if that's like really your background, your culture, 443 00:21:18,680 --> 00:21:21,520 Speaker 1: your ethnicity, like a Yeast family, you're like a Yeast family. 444 00:21:21,640 --> 00:21:24,280 Speaker 1: You may never have much in the way of liquid cash, 445 00:21:24,440 --> 00:21:26,760 Speaker 1: but it's impossible for you to ever be poor because 446 00:21:26,760 --> 00:21:29,119 Speaker 1: of the connections that you have from growing up on 447 00:21:29,160 --> 00:21:32,480 Speaker 1: a culture. Yeah, bounce back, and that's like your dad 448 00:21:32,560 --> 00:21:34,760 Speaker 1: used his connections in the early aughts to get an 449 00:21:34,760 --> 00:21:38,359 Speaker 1: executive gig at in ron Um that did not end well, 450 00:21:39,359 --> 00:21:42,399 Speaker 1: and some people say Fuse included that the collapse of 451 00:21:42,480 --> 00:21:45,600 Speaker 1: Enron basically wiped out the family fortune. Um Fuse claims 452 00:21:45,640 --> 00:21:48,919 Speaker 1: that when he came back after Enron failed, like that, 453 00:21:48,960 --> 00:21:50,440 Speaker 1: he and his wife had to live in one of 454 00:21:50,480 --> 00:21:54,600 Speaker 1: fuses extra houses rent free because like they didn't have 455 00:21:54,640 --> 00:21:57,000 Speaker 1: any money after Ron. He's actually, I don't know if 456 00:21:57,000 --> 00:21:58,760 Speaker 1: you know this about him. He's a physician. He is 457 00:21:58,760 --> 00:22:02,200 Speaker 1: a physician and a pschiatrists. Yeah yeah, so he actually 458 00:22:02,200 --> 00:22:06,359 Speaker 1: like an inventor. Yeah yeah. So anyway, whichever version of 459 00:22:06,359 --> 00:22:07,919 Speaker 1: her early background you choose to believe, if we know 460 00:22:07,960 --> 00:22:09,359 Speaker 1: for a fact that in the fall of thousand to 461 00:22:09,480 --> 00:22:13,119 Speaker 1: eighteen year old Elizabeth Holmes started at Stanford University, and 462 00:22:13,280 --> 00:22:16,520 Speaker 1: that is where we will continue from when we come 463 00:22:16,520 --> 00:22:23,080 Speaker 1: back from produce Bitcoin ties. Oh yeah, I mean, we 464 00:22:23,080 --> 00:22:26,400 Speaker 1: we really were. Actually this this podcast is all to 465 00:22:26,400 --> 00:22:31,400 Speaker 1: to advertise from my new cryptocurrency, bastard Coin. Yeah, each 466 00:22:31,840 --> 00:22:34,960 Speaker 1: each is we have actually like embedded a blockchain in 467 00:22:35,040 --> 00:22:39,439 Speaker 1: the decomposing bones of Saddam Hussein, buried under Iraqi desert 468 00:22:39,440 --> 00:22:44,679 Speaker 1: near kirk cook Um, and so as the winds of 469 00:22:44,720 --> 00:22:49,560 Speaker 1: time gradually decomposed his bones, new blockchains are created, thus 470 00:22:50,040 --> 00:22:54,439 Speaker 1: releasing more Bastard coins into the coin ecosystem. See. I 471 00:22:54,440 --> 00:22:57,439 Speaker 1: actually knew that because if you read every four word 472 00:22:57,600 --> 00:23:00,840 Speaker 1: and Saddam Hussein's romance not well, it tells you the 473 00:23:00,880 --> 00:23:06,160 Speaker 1: exact location. Yeah, she did it, You did it all right. Well, 474 00:23:06,640 --> 00:23:09,520 Speaker 1: pick up some bastard coins. Um, you can use them 475 00:23:09,520 --> 00:23:12,480 Speaker 1: to buy drugs on the internet, like all cryptocurrency, and 476 00:23:12,840 --> 00:23:22,800 Speaker 1: check out these fine products. We're back, We're back, We're back. 477 00:23:23,040 --> 00:23:27,400 Speaker 1: Where's where's Lizzie? She's in she just started Stanford. I'm 478 00:23:27,440 --> 00:23:30,040 Speaker 1: sure this ends well, s Fizzle. I don't know why 479 00:23:30,080 --> 00:23:32,879 Speaker 1: I'm doing that a lot today. Elizabeth Holmes was, by 480 00:23:32,880 --> 00:23:36,000 Speaker 1: most accounts, a diligent student and a diligent partire. John 481 00:23:36,040 --> 00:23:38,760 Speaker 1: Kerryrew writes, quote, Outside of the long hour she put 482 00:23:38,800 --> 00:23:41,359 Speaker 1: in at the lab, Elizabeth led an active social life. 483 00:23:41,400 --> 00:23:44,440 Speaker 1: She attended campus parties and dated a sophomore named J. T. Batson. 484 00:23:44,720 --> 00:23:46,600 Speaker 1: Batson was from a small town in Georgia and was 485 00:23:46,600 --> 00:23:49,200 Speaker 1: struck by how polished in world the Elizabeth was. Though 486 00:23:49,200 --> 00:23:51,560 Speaker 1: he found her guarded, she wasn't the biggest sharer in 487 00:23:51,600 --> 00:23:53,960 Speaker 1: the world, he recalls, she played things close to the vest. 488 00:23:54,280 --> 00:23:56,040 Speaker 1: She also wore a lot of vests. I don't think 489 00:23:56,080 --> 00:23:58,040 Speaker 1: that's what he meant there, but she she definitely wore 490 00:23:58,080 --> 00:24:00,720 Speaker 1: a lot of it. Yea, she she was a big 491 00:24:00,760 --> 00:24:02,719 Speaker 1: vest fan, which were a lot of us. I love 492 00:24:02,760 --> 00:24:05,199 Speaker 1: a good vest. I'm a big best guy myself, and 493 00:24:05,240 --> 00:24:06,760 Speaker 1: she knew how to wear a vest, and she did 494 00:24:06,840 --> 00:24:09,320 Speaker 1: know how to wear. Nobody's saying she was not dressed 495 00:24:09,320 --> 00:24:12,320 Speaker 1: well for the job. Where where is the conversations about 496 00:24:12,320 --> 00:24:15,840 Speaker 1: how Elizabeth Holmes could really wear a vest unlike any 497 00:24:15,840 --> 00:24:18,520 Speaker 1: other scammer. I feel like you should be on her 498 00:24:18,560 --> 00:24:21,920 Speaker 1: legal team. Mark Zuckerberg doesn't wear a vest. No, Mark 499 00:24:22,000 --> 00:24:27,680 Speaker 1: Zuckerberg barely wears I know, and it's just disgusting. Help 500 00:24:27,800 --> 00:24:32,240 Speaker 1: with a couple of ethnic cleansing is oh. I still 501 00:24:32,240 --> 00:24:35,960 Speaker 1: have nightmares about that episode. It's hell, It's hell. By 502 00:24:36,000 --> 00:24:38,240 Speaker 1: her sophomore year at Stanford, Elizabeth Holmes seems to have 503 00:24:38,320 --> 00:24:41,040 Speaker 1: gotten fed the hell up with college, which is understandable. 504 00:24:41,160 --> 00:24:43,040 Speaker 1: Rather than dropping out to say, smoke a ton of 505 00:24:43,040 --> 00:24:45,680 Speaker 1: weed and eventually become a podcaster, home sat down with 506 00:24:45,720 --> 00:24:49,320 Speaker 1: her chemical engineering professor Channing Robertson and said, let's start 507 00:24:49,320 --> 00:24:53,520 Speaker 1: a company. Right, this is a Silicon Valley is so 508 00:24:53,800 --> 00:24:58,320 Speaker 1: confusing to me, where it's like imagine like listening to 509 00:24:58,359 --> 00:25:00,280 Speaker 1: a nine like a nineteen year old star eating a 510 00:25:00,280 --> 00:25:06,200 Speaker 1: business is a bad idea, Yeah, anything but like very 511 00:25:06,280 --> 00:25:10,240 Speaker 1: basic jobs and studying is a bad ideas, a bad idea, yeah, 512 00:25:10,359 --> 00:25:13,920 Speaker 1: and it like never ever leads to anything good. Yeah, 513 00:25:14,040 --> 00:25:17,040 Speaker 1: it's it's it's a bad idea to like let them 514 00:25:17,040 --> 00:25:19,640 Speaker 1: in the military and friends who were driving tanks at seventeen. 515 00:25:19,880 --> 00:25:22,960 Speaker 1: That's a bad idea. It's it's a really bad idea. 516 00:25:23,200 --> 00:25:26,400 Speaker 1: Like this, this is like the part of the Silicon 517 00:25:27,119 --> 00:25:30,760 Speaker 1: Valley narrative. H'm like why is this allowed? Like why 518 00:25:30,760 --> 00:25:33,160 Speaker 1: would anyone be like and this is going to end great? 519 00:25:33,240 --> 00:25:35,880 Speaker 1: See this is again there's a government bureau. I've suggested 520 00:25:35,920 --> 00:25:37,639 Speaker 1: they should be around to like slap people in the 521 00:25:37,680 --> 00:25:39,560 Speaker 1: face sometimes, but they should also be there just to 522 00:25:39,560 --> 00:25:41,879 Speaker 1: walk up to people in times like this, like like 523 00:25:41,960 --> 00:25:43,600 Speaker 1: someone in a suit with a badge should have come 524 00:25:43,880 --> 00:25:48,480 Speaker 1: up and said, Elizabeth Holmes, No, you can't know. You 525 00:25:48,600 --> 00:25:52,520 Speaker 1: gotta learn science first, go wait tables for a year, 526 00:25:52,680 --> 00:25:55,200 Speaker 1: Like do do a job that's like useful to people, 527 00:25:55,280 --> 00:25:58,560 Speaker 1: and you know, like isn't starting a company and getting 528 00:25:58,560 --> 00:26:01,159 Speaker 1: millions of dollars in venture capital and learn things and 529 00:26:01,200 --> 00:26:03,200 Speaker 1: live in the real world for a while. Yeah, learn 530 00:26:03,280 --> 00:26:07,640 Speaker 1: how to be a person for a spell. Elizabeth. She well, 531 00:26:07,680 --> 00:26:09,680 Speaker 1: she might have to, now, yeah, she might have to know. 532 00:26:09,880 --> 00:26:14,080 Speaker 1: That's that's that's that is enough. Yeah. Anyway, Robertson, the 533 00:26:14,080 --> 00:26:15,879 Speaker 1: guy she went to the professor that she went to 534 00:26:15,920 --> 00:26:17,840 Speaker 1: and said the started company had done seminars on drug 535 00:26:17,840 --> 00:26:20,720 Speaker 1: delivery devices, stuff like nicotine patches and even more advanced 536 00:26:20,720 --> 00:26:24,160 Speaker 1: things like small clear contact lenses that could deliver glaucoma medication. 537 00:26:24,359 --> 00:26:28,000 Speaker 1: Super advanced, noninvasive ways to deliver drugs. Cool stuff. Elizabeth 538 00:26:28,000 --> 00:26:30,080 Speaker 1: approached him with a design for a wearable patch that 539 00:26:30,080 --> 00:26:32,879 Speaker 1: would deliver both the drug and monitor the patient's blood 540 00:26:32,880 --> 00:26:35,840 Speaker 1: in order to adjust the dosage of that drug. Now, 541 00:26:36,160 --> 00:26:38,320 Speaker 1: Robertson had only known Elizabeth Holmes for a year, and 542 00:26:38,359 --> 00:26:40,800 Speaker 1: she was one of many, many, many, many, many undergrads 543 00:26:40,800 --> 00:26:43,480 Speaker 1: he'd worked with. But he told Fortune Magazine quote, I 544 00:26:43,560 --> 00:26:45,760 Speaker 1: knew she was different. The novelty of how she would 545 00:26:45,800 --> 00:26:49,440 Speaker 1: view a complex technical problem. It was unique in my experience. 546 00:26:49,800 --> 00:26:51,640 Speaker 1: I remember her saying, and we could put a cell 547 00:26:51,680 --> 00:26:53,480 Speaker 1: phone ship on it, and it could limit her out 548 00:26:53,480 --> 00:26:55,280 Speaker 1: to the doctor or the patient what was going on. 549 00:26:55,560 --> 00:26:57,760 Speaker 1: And I kind of kicked myself. I consulted in this 550 00:26:57,840 --> 00:27:00,199 Speaker 1: area for thirty years, but I had never said, we 551 00:27:00,240 --> 00:27:02,240 Speaker 1: make all these gizmos that measure and all these systems 552 00:27:02,240 --> 00:27:04,760 Speaker 1: that deliver. But I never brought the two together. So 553 00:27:05,240 --> 00:27:08,440 Speaker 1: he was impressed with her, with her moxie, with her inventiveness, 554 00:27:08,480 --> 00:27:11,679 Speaker 1: but he felt that starting a medical device manufacturing company 555 00:27:11,680 --> 00:27:14,959 Speaker 1: at age nineteen after probably dropping out of Stanford might 556 00:27:15,000 --> 00:27:17,679 Speaker 1: be not a great idea. And again, like not taking 557 00:27:17,720 --> 00:27:21,000 Speaker 1: the science classes, you know, if that would be possible 558 00:27:21,119 --> 00:27:24,239 Speaker 1: exactly exactly you figure out. Professor would be on that 559 00:27:25,040 --> 00:27:28,520 Speaker 1: fairly like anti college. But that's the sort of thing 560 00:27:28,560 --> 00:27:32,040 Speaker 1: that you gotta go. I think probably most people in college, 561 00:27:32,160 --> 00:27:34,199 Speaker 1: like the things that people should be doing in college 562 00:27:34,320 --> 00:27:37,080 Speaker 1: is like studying history and the humanities to learn why 563 00:27:37,200 --> 00:27:40,760 Speaker 1: you shouldn't let nineteen year olds run blood testing companies? Uh, 564 00:27:40,800 --> 00:27:43,040 Speaker 1: and also spending eight years to learn how to be 565 00:27:43,119 --> 00:27:45,520 Speaker 1: a doctor and design medical devices. Those things seem like 566 00:27:45,560 --> 00:27:47,919 Speaker 1: you need college, You do need training. Yeah, Like you 567 00:27:47,920 --> 00:27:49,800 Speaker 1: don't need college to do what I've done, which would 568 00:27:49,800 --> 00:27:52,320 Speaker 1: just go put myself in dangerous places and right about it. No, 569 00:27:52,440 --> 00:27:56,239 Speaker 1: and yeah, we've gotten so deeply in debt to do 570 00:27:56,440 --> 00:28:01,320 Speaker 1: things that require really like just comments. Yeah, exactly, So 571 00:28:01,440 --> 00:28:04,320 Speaker 1: everyone out there drop out, drop out of college, but 572 00:28:04,359 --> 00:28:07,120 Speaker 1: don't start companies. Never start a company, or at least 573 00:28:07,160 --> 00:28:10,520 Speaker 1: not medical device companies. Start a podcast company. That's like, 574 00:28:10,560 --> 00:28:12,600 Speaker 1: who cares? Anyone can do that if you fail, and 575 00:28:12,600 --> 00:28:14,240 Speaker 1: we all will at some point, we all will. This 576 00:28:14,320 --> 00:28:17,959 Speaker 1: bubble going burst. I feel it. I feel it pushing 577 00:28:18,000 --> 00:28:21,040 Speaker 1: again at the surface of my skin every single morning. Yeah, 578 00:28:21,080 --> 00:28:22,800 Speaker 1: but you know it will be a fun ride for them. 579 00:28:22,840 --> 00:28:25,919 Speaker 1: That's just that's just the life we chose anyway. Uh. 580 00:28:26,000 --> 00:28:28,520 Speaker 1: Robertson Yeah. Um asked her why she was hel bent 581 00:28:28,640 --> 00:28:30,240 Speaker 1: on doing all this right now while she was still 582 00:28:30,240 --> 00:28:33,520 Speaker 1: a teenager. Homes responded, quote, because systems like this could 583 00:28:33,560 --> 00:28:36,719 Speaker 1: completely revolutionize how effective health care is delivered. And this 584 00:28:36,760 --> 00:28:38,640 Speaker 1: is what I want to do. I don't want to 585 00:28:38,680 --> 00:28:41,760 Speaker 1: make an incremental change in some technology in my life. 586 00:28:41,960 --> 00:28:44,480 Speaker 1: I want to create a whole new technology, and one 587 00:28:44,480 --> 00:28:47,000 Speaker 1: that is aimed at helping humanity at all levels, regardless 588 00:28:47,000 --> 00:28:50,400 Speaker 1: of geography or ethnicity, or age or gender. I think 589 00:28:50,400 --> 00:28:53,520 Speaker 1: that's really important because I think that exact sentiment, whether 590 00:28:53,600 --> 00:28:55,640 Speaker 1: or not they've ever said it, is exactly what is 591 00:28:55,680 --> 00:28:58,600 Speaker 1: constantly going through the minds of Mark Zuckerberg, Elon Musk, 592 00:28:58,840 --> 00:29:00,560 Speaker 1: all of these funing guy basical all of them, but 593 00:29:00,640 --> 00:29:05,480 Speaker 1: Bill Gates, like yeah, call out, no, I mean I 594 00:29:05,520 --> 00:29:08,160 Speaker 1: think he's he's the one who didn't like he was 595 00:29:08,200 --> 00:29:10,120 Speaker 1: he was always more of like a grounded kind of 596 00:29:10,120 --> 00:29:11,880 Speaker 1: like like he's a decent engineer, but he's more of 597 00:29:11,920 --> 00:29:13,240 Speaker 1: just like he knows how to run a business, and 598 00:29:13,240 --> 00:29:15,960 Speaker 1: he's like shitty like to like he's he's did a 599 00:29:15,960 --> 00:29:18,440 Speaker 1: lot of dickish things running a business, but he wasn't 600 00:29:18,480 --> 00:29:21,560 Speaker 1: like irresponsible. He was just like kind of an evil 601 00:29:21,600 --> 00:29:24,600 Speaker 1: corporate overlord. And then he dedicated his life to curing malaria. 602 00:29:25,200 --> 00:29:29,640 Speaker 1: Which yeah, it's like sure that's something you I guess 603 00:29:29,760 --> 00:29:32,560 Speaker 1: that's something I don't know. Yeah, once she gets into 604 00:29:32,600 --> 00:29:35,320 Speaker 1: like the I mean all the like the tech company 605 00:29:35,400 --> 00:29:38,640 Speaker 1: statements of grandeur of like how their technology will somehow 606 00:29:39,000 --> 00:29:41,640 Speaker 1: make the world a more equal place when it always 607 00:29:41,680 --> 00:29:45,720 Speaker 1: does the opposite. Um is freaky stuff, especially when it 608 00:29:46,160 --> 00:29:50,200 Speaker 1: comes to like uh hashtag girl boss like Elizabeth Toom's 609 00:29:50,240 --> 00:29:52,640 Speaker 1: who constantly has to like leverage her own identity as 610 00:29:52,640 --> 00:29:54,760 Speaker 1: a way of getting ahead. It's just so sinister and 611 00:29:55,040 --> 00:29:57,000 Speaker 1: shitty and bad. When was that line in the middle, 612 00:29:57,200 --> 00:29:58,920 Speaker 1: I don't want to make an incriminal change in some 613 00:29:59,080 --> 00:30:01,600 Speaker 1: technology like that. Why Elon Musk tried to build that 614 00:30:01,720 --> 00:30:04,400 Speaker 1: child coffin during the rescue because he's like, I don't 615 00:30:04,400 --> 00:30:06,760 Speaker 1: want to just like give some money to experts so 616 00:30:06,760 --> 00:30:10,440 Speaker 1: they can slowly and agonizingly, in a very unglamorous way, 617 00:30:10,640 --> 00:30:13,120 Speaker 1: save a dozen lives. I want to build a sexy 618 00:30:13,160 --> 00:30:15,520 Speaker 1: thing out of rocket parts, and I want there to 619 00:30:15,560 --> 00:30:18,800 Speaker 1: be like, like, you know, the old school newsreel footage 620 00:30:18,800 --> 00:30:21,360 Speaker 1: of me emerging the hero of the situation. But no, 621 00:30:21,560 --> 00:30:24,480 Speaker 1: sometimes you just need to very slowly and laborously teach 622 00:30:24,560 --> 00:30:28,040 Speaker 1: kids how to use breathing devices and agonizingly pull them 623 00:30:28,040 --> 00:30:30,600 Speaker 1: through tunnels to save their lives because that's what works. 624 00:30:30,760 --> 00:30:33,280 Speaker 1: And sometimes you just have to accept your own limitations 625 00:30:33,280 --> 00:30:34,800 Speaker 1: and be like, Okay, I have the money to make 626 00:30:34,840 --> 00:30:37,600 Speaker 1: this happen. Let me give money to people and not 627 00:30:37,920 --> 00:30:39,720 Speaker 1: then call them. Didn't he call like one of the 628 00:30:39,760 --> 00:30:48,480 Speaker 1: rescuers theophile. I'm just like, you're just not a dozen children. 629 00:30:48,800 --> 00:30:52,240 Speaker 1: He's like, yeah, he's a pedophile? Is this He's a 630 00:30:52,280 --> 00:30:54,840 Speaker 1: seventh grader, a man that, like the U. S. Army 631 00:30:55,040 --> 00:30:57,800 Speaker 1: and like the Thai navy divers were all like, oh yeah, 632 00:30:57,880 --> 00:31:00,400 Speaker 1: we wouldn't have saved those dozen children without this guy, 633 00:31:00,800 --> 00:31:03,960 Speaker 1: fucking pedophile. It's I mean, everyone has very different opinions 634 00:31:03,960 --> 00:31:08,400 Speaker 1: of Elon Musk, but there's no there's no doubt that 635 00:31:08,440 --> 00:31:11,400 Speaker 1: he is always finding new ways to embarrass himself. You know. 636 00:31:11,440 --> 00:31:14,200 Speaker 1: If he's like really an innovator, and I think more 637 00:31:14,240 --> 00:31:18,920 Speaker 1: so than anywhere else he has innovated embarrassing yourself as 638 00:31:18,920 --> 00:31:23,040 Speaker 1: a as an adult, it's really incredible. It's just stop tweeting, man. 639 00:31:23,280 --> 00:31:24,959 Speaker 1: We would all still like you if you'd never use 640 00:31:25,000 --> 00:31:28,600 Speaker 1: Twitter log out, don't. Elon Musk like shouldn't be on 641 00:31:28,680 --> 00:31:31,120 Speaker 1: podcasts if he was just a guy with a cool 642 00:31:31,200 --> 00:31:34,800 Speaker 1: name who owned a rocket company, yeah, car company, I 643 00:31:34,960 --> 00:31:37,480 Speaker 1: like him, who like got rich and did something about 644 00:31:37,480 --> 00:31:40,640 Speaker 1: his hairline. Great, sure, good for you. Oh yeah, we 645 00:31:40,680 --> 00:31:44,920 Speaker 1: need electric cars and rockets. Fine, that's great. Stick to that. 646 00:31:45,400 --> 00:31:47,920 Speaker 1: I don't want to look at you, and I don't 647 00:31:47,960 --> 00:31:50,320 Speaker 1: want you to, he ruined. I used to I liked 648 00:31:50,360 --> 00:31:52,240 Speaker 1: Grimes a lot in college, and he took that we 649 00:31:52,280 --> 00:31:54,400 Speaker 1: all liked Grimes a lot in college. He took that 650 00:31:54,480 --> 00:31:59,480 Speaker 1: from everybody. It's painful, man, that guy. It's painful. Anyway. Yeah, 651 00:32:00,040 --> 00:32:02,840 Speaker 1: probably lost a lot of listeners from the Elon Musk shade, 652 00:32:02,880 --> 00:32:06,320 Speaker 1: but the episode on him is coming listen, I mean there. 653 00:32:06,360 --> 00:32:09,360 Speaker 1: I have no distinct opinion on him other than he's 654 00:32:09,360 --> 00:32:12,080 Speaker 1: an embarrassing person. Didn't call him the PayPal Mafia for 655 00:32:12,360 --> 00:32:16,240 Speaker 1: entirely good reasons. That's a really embarrassing name. Yeah, but 656 00:32:16,280 --> 00:32:20,560 Speaker 1: like the PayPal mafia, that kind of fits like it 657 00:32:20,640 --> 00:32:24,320 Speaker 1: kind of fits like in the literal sense of stealing money. 658 00:32:24,960 --> 00:32:27,520 Speaker 1: I look forward to that episode. Yeah, well we'll talk 659 00:32:27,520 --> 00:32:32,480 Speaker 1: about that. So um Robertson told Fortune that when Elizabeth 660 00:32:32,520 --> 00:32:34,440 Speaker 1: Holmes said this thing about not wanting to do incremental 661 00:32:34,520 --> 00:32:37,360 Speaker 1: change was the moment he realized what Elizabeth was. I 662 00:32:37,400 --> 00:32:39,080 Speaker 1: realized I could have just as well been looking into 663 00:32:39,080 --> 00:32:41,120 Speaker 1: the eyes of a Steve Jobs or a Bill Gates. 664 00:32:41,520 --> 00:32:43,240 Speaker 1: And I do think he was half right there. But 665 00:32:43,280 --> 00:32:44,720 Speaker 1: we'll get to that later. He was looking in the 666 00:32:44,760 --> 00:32:49,000 Speaker 1: eyes of a shameless capitalist just to Steve Jobs. Steve 667 00:32:49,080 --> 00:32:52,040 Speaker 1: Jobs was a type of shameless capitalist. But she, I 668 00:32:52,040 --> 00:32:54,280 Speaker 1: think she's the exact same kind of person to Steve Jobs. 669 00:32:54,280 --> 00:32:56,440 Speaker 1: I don't think that was all in act. She yeah, 670 00:32:56,480 --> 00:32:59,200 Speaker 1: we'll talk about that a little bit. Um. Elizabeth decided 671 00:32:59,200 --> 00:33:00,920 Speaker 1: that come Heller high Water, she was going to start 672 00:33:00,960 --> 00:33:03,320 Speaker 1: her own damn company. She announced this to her father 673 00:33:03,440 --> 00:33:05,560 Speaker 1: during a break from classes. He was not happy to 674 00:33:05,600 --> 00:33:07,360 Speaker 1: hear that she was dropping out, and he urged her 675 00:33:07,360 --> 00:33:10,440 Speaker 1: to finish her degree. She responded, no, Dad, I'm not 676 00:33:10,480 --> 00:33:13,440 Speaker 1: interested in getting a PhD. I want to make money. 677 00:33:14,040 --> 00:33:15,880 Speaker 1: In the spring of her sophomore year, she broke up 678 00:33:15,880 --> 00:33:17,760 Speaker 1: with her boyfriend, explaining it this was because she was 679 00:33:17,800 --> 00:33:20,440 Speaker 1: starting a company, which obviously wouldn't leave her much time 680 00:33:20,520 --> 00:33:23,680 Speaker 1: for You know that d that's I actually wrote, dad, 681 00:33:23,760 --> 00:33:28,480 Speaker 1: d O j T s d R d J d 682 00:33:28,760 --> 00:33:31,160 Speaker 1: R A p j T S d j T s 683 00:33:31,200 --> 00:33:36,960 Speaker 1: D is out there somewhere Wilting, Wilting or d Well. 684 00:33:37,120 --> 00:33:38,760 Speaker 1: I'm sure he's fine. Yeah, he's probably. I mean, I'm 685 00:33:38,760 --> 00:33:41,680 Speaker 1: sure he's a rich kid to fucking Stanford, right, Yeah, you, Yeah, 686 00:33:42,720 --> 00:33:46,120 Speaker 1: he's fine. Facebook. Elizabeth did a summer internship at the 687 00:33:46,200 --> 00:33:48,520 Speaker 1: Genome Institute of Singapore, which had later proved to be 688 00:33:48,560 --> 00:33:52,480 Speaker 1: her last real dalliance with higher education. Her internship coincided 689 00:33:52,480 --> 00:33:54,680 Speaker 1: with the Stars epidemic, and she was frustrated by the 690 00:33:54,720 --> 00:33:57,960 Speaker 1: various inefficiencies and delays caused by testing patients with syringes 691 00:33:57,960 --> 00:34:00,640 Speaker 1: and nasal swabs. She decided, sased on her one and 692 00:34:00,640 --> 00:34:02,320 Speaker 1: a half years of college, that she could do better 693 00:34:02,400 --> 00:34:05,440 Speaker 1: than these damned infectious disease specialist fighting a massive outbreak 694 00:34:06,040 --> 00:34:08,279 Speaker 1: when you came home from Singapore, she spent five sleepless 695 00:34:08,320 --> 00:34:10,520 Speaker 1: days at her computer in Houston. Eventually she came up 696 00:34:10,520 --> 00:34:12,600 Speaker 1: with a patent application for an arm patch that would 697 00:34:12,640 --> 00:34:15,920 Speaker 1: diagnose and treat various medical conditions. Armed with this patent, 698 00:34:15,920 --> 00:34:18,479 Speaker 1: she dropped out of school and incorporated a company, Real 699 00:34:18,520 --> 00:34:21,640 Speaker 1: Time Cures, which wound up printed on employee paychecks. Is 700 00:34:21,680 --> 00:34:24,600 Speaker 1: real Time Curses due to a funk up? Oops, yeah, 701 00:34:24,719 --> 00:34:26,640 Speaker 1: well it happens to the best of us. Robertson, by 702 00:34:26,680 --> 00:34:29,360 Speaker 1: the way, joined the board and like supported this nineteen 703 00:34:29,400 --> 00:34:31,040 Speaker 1: year old in her dream to drop out of college 704 00:34:31,040 --> 00:34:33,880 Speaker 1: and create a medical device. This like middle aged professor 705 00:34:33,960 --> 00:34:36,279 Speaker 1: understand this culture. I don't know a whole lot about 706 00:34:36,360 --> 00:34:37,520 Speaker 1: him other than I think he's kind of a piece 707 00:34:37,520 --> 00:34:40,760 Speaker 1: of ship. He comes off that way, and the interviews 708 00:34:40,800 --> 00:34:45,719 Speaker 1: with him, Yeah, come on the show, Robertson talked, Yeah, 709 00:34:45,800 --> 00:34:48,120 Speaker 1: come on the pod, talk me out of that. He 710 00:34:48,360 --> 00:34:50,919 Speaker 1: I don't know, I mean yeah, I mean the very 711 00:34:51,000 --> 00:34:53,960 Speaker 1: there's so many like dudes in that in the HBO 712 00:34:54,000 --> 00:34:57,000 Speaker 1: documentary who just come off a super defensive and then 713 00:34:57,120 --> 00:35:00,480 Speaker 1: I mean the narrative of just like totally one eight 714 00:35:00,680 --> 00:35:03,279 Speaker 1: and b like, yeah, what a fucking dummy crazy, I'm like, 715 00:35:03,440 --> 00:35:07,520 Speaker 1: you gave her a billion dollars, big coin guy. The 716 00:35:07,560 --> 00:35:09,719 Speaker 1: only people in that documentary who come off well are 717 00:35:09,760 --> 00:35:13,040 Speaker 1: Tyler Schultz and uh and John Kerry Row even yeah, 718 00:35:13,080 --> 00:35:15,319 Speaker 1: even Alex Gidney doesn't come because it's kind of a 719 00:35:15,320 --> 00:35:17,440 Speaker 1: shitty documentary, kind of it's not a great document He 720 00:35:17,440 --> 00:35:19,200 Speaker 1: is using a lot of stock footage. He's using a 721 00:35:19,280 --> 00:35:21,160 Speaker 1: lot of stock footage. I think it's a hit piece 722 00:35:21,160 --> 00:35:24,160 Speaker 1: on Errol Morris personally, Well, wait, what are you talking about? 723 00:35:24,160 --> 00:35:28,360 Speaker 1: The HBO one orb on. Yeah, there was some amorse 724 00:35:28,400 --> 00:35:30,719 Speaker 1: in there, there was well Errol Morris, Yeah, he did 725 00:35:30,760 --> 00:35:32,839 Speaker 1: a lot of their ads he endorses. Yeah, I would 726 00:35:32,880 --> 00:35:36,239 Speaker 1: love to see an Errol Morris documentary about that experience 727 00:35:36,280 --> 00:35:38,400 Speaker 1: and finding out that he was wrong, because he's a 728 00:35:38,400 --> 00:35:41,400 Speaker 1: better filmmakers of that. Shade back on Maddis too, Yeah, 729 00:35:42,120 --> 00:35:44,560 Speaker 1: on fucking Henry Kissinger. How does Henry Kissinger get out 730 00:35:44,719 --> 00:35:49,760 Speaker 1: Scott free? I mean, in fairness, like it's the least 731 00:35:49,920 --> 00:35:53,520 Speaker 1: terrible thing Kissinger has been. Like if if if killing 732 00:35:53,600 --> 00:35:56,479 Speaker 1: millions of Cambodians didn't stick to kiss and jaff being 733 00:35:56,520 --> 00:36:01,640 Speaker 1: on the far and no sport isn't he's unkillable. He 734 00:36:01,800 --> 00:36:04,799 Speaker 1: really is unkilled And my how is he? I've like 735 00:36:04,920 --> 00:36:07,319 Speaker 1: operated under the assumption for a few months at a 736 00:36:07,360 --> 00:36:10,200 Speaker 1: time throughout my adult life, thinking he's dead and then 737 00:36:10,239 --> 00:36:13,480 Speaker 1: remembering he's not, never quite getting very upset about it. 738 00:36:13,560 --> 00:36:15,880 Speaker 1: He's one of those people that like there's just a 739 00:36:15,960 --> 00:36:19,040 Speaker 1: level of like hate but also like respect of just 740 00:36:19,120 --> 00:36:23,080 Speaker 1: like you've just you've been around for forever, You've been 741 00:36:23,120 --> 00:36:26,359 Speaker 1: bad for song, You've you've been one of the most 742 00:36:26,440 --> 00:36:29,040 Speaker 1: influential people in the world for almost a hundred years. 743 00:36:29,560 --> 00:36:32,800 Speaker 1: I wonder if he does like that Peter Teel vampire treatment, 744 00:36:32,840 --> 00:36:34,600 Speaker 1: and that's why he's going to live forever. I think 745 00:36:34,640 --> 00:36:37,399 Speaker 1: it's just he UH did some sort of like dark 746 00:36:37,480 --> 00:36:40,319 Speaker 1: magical ritual with all those Cambodians we bombed, and like 747 00:36:40,480 --> 00:36:43,840 Speaker 1: their blood extended his life by a couple of decades. 748 00:36:44,200 --> 00:36:46,840 Speaker 1: Him so much. He's a pretty bad person. When I 749 00:36:46,880 --> 00:36:49,680 Speaker 1: have like three straight weeks to read books about Henry Kissinger, 750 00:36:49,760 --> 00:36:52,399 Speaker 1: will do a Henry kissing. Yeah that's a long one. Yeah, 751 00:36:52,440 --> 00:36:55,279 Speaker 1: that's that's going to be quite the episode. So the 752 00:36:55,320 --> 00:36:58,800 Speaker 1: funding for Real Time Kiers came from Elizabeth Holmess family 753 00:36:58,840 --> 00:37:01,360 Speaker 1: connections mom and it may not have been rich anymore, 754 00:37:01,520 --> 00:37:04,160 Speaker 1: but they were still, as I said, culturally rich. Elizabeth 755 00:37:04,200 --> 00:37:06,200 Speaker 1: was able to meet with Tim Draper, the father of 756 00:37:06,200 --> 00:37:08,880 Speaker 1: a childhood friend, and convince him to invest one million dollars. 757 00:37:09,000 --> 00:37:11,680 Speaker 1: Is that Mr Big Kentie. I don't know. It might 758 00:37:11,719 --> 00:37:14,400 Speaker 1: have been. I think it might have been. Um Draper 759 00:37:14,440 --> 00:37:16,239 Speaker 1: was well known among the kind of rich people who 760 00:37:16,239 --> 00:37:22,760 Speaker 1: invest in unproven tech ventures. Grandfather Draper's grandpa had founded 761 00:37:22,800 --> 00:37:25,080 Speaker 1: the very first Silicon Valley venture capital firm back in 762 00:37:25,120 --> 00:37:28,239 Speaker 1: the fifties. Tim had invested in Hotmail early UH and 763 00:37:28,280 --> 00:37:31,000 Speaker 1: Elizabeth Holmes you know, with his name on them, UH 764 00:37:31,200 --> 00:37:34,920 Speaker 1: quickly attracted other investments quote. In a twenty six page 765 00:37:34,960 --> 00:37:37,240 Speaker 1: document she used to recruit investors, she described an adhesive 766 00:37:37,239 --> 00:37:39,439 Speaker 1: patch that would draw blood painlessly through the skin using 767 00:37:39,480 --> 00:37:41,919 Speaker 1: micro needles. The therapy patch, as the document called it, 768 00:37:41,960 --> 00:37:44,560 Speaker 1: would contain a microchip sensing system that would analyze the 769 00:37:44,560 --> 00:37:46,839 Speaker 1: blood and make a process control decision about how much 770 00:37:46,840 --> 00:37:49,160 Speaker 1: of a drug to deliver. Would also communicate its readings 771 00:37:49,160 --> 00:37:52,560 Speaker 1: wirelessly to a patient's doctor. She'd soon changed the company 772 00:37:52,640 --> 00:37:56,319 Speaker 1: name to Thearapos Combination of Therapy and Diagnose. In that 773 00:37:56,360 --> 00:37:58,759 Speaker 1: Fortune article, Holmes claimed she'd changed the name because too 774 00:37:58,760 --> 00:38:02,000 Speaker 1: many people reacted cynic to the word cure and made 775 00:38:02,000 --> 00:38:06,319 Speaker 1: her seem like a snake oil salesman. No, Lizzy, I 776 00:38:06,360 --> 00:38:09,320 Speaker 1: have a question. Sure at this point in the process, 777 00:38:09,360 --> 00:38:11,839 Speaker 1: how involved is Sunny Bowani? Do we know he's not yet? 778 00:38:11,840 --> 00:38:14,439 Speaker 1: He didn't come onto the company officially until I think nine. 779 00:38:15,080 --> 00:38:17,239 Speaker 1: So they so they met when she was young and 780 00:38:17,880 --> 00:38:20,920 Speaker 1: Captain dated Captain Touch. We're not sure. We don't know 781 00:38:20,960 --> 00:38:24,080 Speaker 1: exactly when they started dating. They definitely were while he 782 00:38:24,160 --> 00:38:26,040 Speaker 1: was working at Tharanos, but he's not there until two 783 00:38:26,040 --> 00:38:28,080 Speaker 1: thousand nine. So she she gets this all off the 784 00:38:28,120 --> 00:38:30,719 Speaker 1: ground before he comes on board. Now, whether or not 785 00:38:30,800 --> 00:38:33,360 Speaker 1: she's like like her brother did say that they would 786 00:38:33,600 --> 00:38:36,239 Speaker 1: call pretty regularly in stuff when she was eighteen nine. 787 00:38:36,280 --> 00:38:38,759 Speaker 1: Sounds like they were in touch, But I don't know. 788 00:38:38,800 --> 00:38:40,239 Speaker 1: I don't know, Like it's one of those things. Part 789 00:38:40,280 --> 00:38:41,640 Speaker 1: of why I didn't talk about it more is I 790 00:38:41,680 --> 00:38:44,600 Speaker 1: don't know how influential, Like there's a big debate about 791 00:38:44,680 --> 00:38:46,480 Speaker 1: like whether or not because they started dating when she 792 00:38:46,520 --> 00:38:48,200 Speaker 1: was so much younger than him, he had a big 793 00:38:48,239 --> 00:38:51,680 Speaker 1: influence on her practices. But it's also like she was 794 00:38:51,760 --> 00:38:53,799 Speaker 1: running this company for like six seven years. She was 795 00:38:54,000 --> 00:38:57,520 Speaker 1: very driven. It doesn't want to say that she was 796 00:38:57,560 --> 00:38:59,759 Speaker 1: not capable of doing as clear that she was. It's 797 00:38:59,800 --> 00:39:02,319 Speaker 1: one like it's tough because I don't want, like number one, 798 00:39:02,320 --> 00:39:05,319 Speaker 1: I don't want to like not go after a guy 799 00:39:05,360 --> 00:39:08,120 Speaker 1: who influenced a much younger woman to do bad things. 800 00:39:08,160 --> 00:39:09,759 Speaker 1: But also I don't want to like take away her 801 00:39:09,800 --> 00:39:13,160 Speaker 1: agency and doing shitty things by crediting this. That's like 802 00:39:13,200 --> 00:39:15,719 Speaker 1: one of the complicated things around conversations like this, where 803 00:39:15,800 --> 00:39:18,439 Speaker 1: it's like it is weird to me that in all 804 00:39:18,480 --> 00:39:21,319 Speaker 1: the coverage of this story, like Sonny Bowani's role and 805 00:39:21,320 --> 00:39:26,879 Speaker 1: stuff is not more carefully like scrutinized because it's clear 806 00:39:26,960 --> 00:39:28,760 Speaker 1: that you know, she set up the company by herself, 807 00:39:28,800 --> 00:39:32,920 Speaker 1: but that age difference when you're that young, it's big. Yeah, 808 00:39:32,920 --> 00:39:35,840 Speaker 1: like that is not a great person on the older 809 00:39:35,880 --> 00:39:39,840 Speaker 1: side of that relationship, and um, you know it's I 810 00:39:39,880 --> 00:39:42,440 Speaker 1: don't know, yeah, I'm I'm of the opinion that like, 811 00:39:42,600 --> 00:39:45,680 Speaker 1: if you're like a mature adult, I don't know. I 812 00:39:45,680 --> 00:39:48,560 Speaker 1: think like, if you're mature adult, you don't eat date teenagers. 813 00:39:48,600 --> 00:39:50,279 Speaker 1: You don't if you're twenty five year older. I don't 814 00:39:50,280 --> 00:39:52,719 Speaker 1: give a ship with the age differences out in the 815 00:39:52,719 --> 00:39:55,080 Speaker 1: world long enough to like know, some fucking ship, But 816 00:39:55,120 --> 00:39:57,040 Speaker 1: a fucking nineteen year old date and the thirty seven 817 00:39:57,120 --> 00:40:01,080 Speaker 1: year old that's not cool, man, that's weird. That's weird. Yeah, 818 00:40:01,120 --> 00:40:04,160 Speaker 1: that's weird. Now. Home slowly built her company up over 819 00:40:04,200 --> 00:40:07,400 Speaker 1: the next ten years, gradually refining and revamping her technology. 820 00:40:07,520 --> 00:40:09,879 Speaker 1: From the Fortune article quote, as much as she needed money, 821 00:40:09,960 --> 00:40:12,000 Speaker 1: she turned down many offers, she says, because so many 822 00:40:12,000 --> 00:40:15,080 Speaker 1: investors wanted quick returns. Too often, the question is what's 823 00:40:15,080 --> 00:40:18,200 Speaker 1: your exit strategy, she recounts, before you're really understanding what 824 00:40:18,280 --> 00:40:22,120 Speaker 1: your entry strategy is. What that's like a classic silicon 825 00:40:22,239 --> 00:40:24,120 Speaker 1: Valley thing, state the thing, and then reverse it to 826 00:40:24,120 --> 00:40:26,480 Speaker 1: make it seem like you've said something more profound than 827 00:40:26,520 --> 00:40:28,960 Speaker 1: it actually is, right, and then turn it into an 828 00:40:29,000 --> 00:40:32,400 Speaker 1: Instagram post fun font and post does your blood testing 829 00:40:32,440 --> 00:40:36,160 Speaker 1: equipment work? The question is does current blood testing equipment 830 00:40:36,200 --> 00:40:39,880 Speaker 1: really work? Well, yeah, they told me I had hepatitis 831 00:40:40,360 --> 00:40:45,799 Speaker 1: and she's like, well, she tastes your blood. And now 832 00:40:48,880 --> 00:40:51,960 Speaker 1: the technological fixation of Parinos eventually shifted away from those 833 00:40:51,960 --> 00:40:53,920 Speaker 1: medicated patches because what she was trying to do with 834 00:40:53,960 --> 00:40:56,320 Speaker 1: them actually technically sort of violated the laws of physics. 835 00:40:56,560 --> 00:40:58,319 Speaker 1: Homes moved on from that plan into one that was 836 00:40:58,400 --> 00:41:02,640 Speaker 1: arguably more ambitious than Nanottainer and the Edison blood testing machine. 837 00:41:03,040 --> 00:41:05,359 Speaker 1: While her first innovation had been inspired at least by 838 00:41:05,360 --> 00:41:07,920 Speaker 1: real medical ship she really experienced doing actual work in 839 00:41:07,960 --> 00:41:10,800 Speaker 1: the field, the Nanottainer and the Edison seemed more inspired 840 00:41:10,840 --> 00:41:13,600 Speaker 1: by Steve Jobs in the Apple Company. Elizabeth Holmes wanted 841 00:41:13,600 --> 00:41:16,760 Speaker 1: to produce a slick, attractive, technological gizmo that could eventually 842 00:41:16,760 --> 00:41:19,480 Speaker 1: wind up in every American home. She had a dizzy 843 00:41:19,640 --> 00:41:22,080 Speaker 1: dream of painple eventually being able to test their own 844 00:41:22,120 --> 00:41:26,240 Speaker 1: blood via pinprick and get diagnoses from tiny attractive little boxes, 845 00:41:26,480 --> 00:41:28,120 Speaker 1: like a curing size little thing. I think that was 846 00:41:28,160 --> 00:41:30,960 Speaker 1: the eventual goal. It was never like quite stated, but 847 00:41:31,000 --> 00:41:33,560 Speaker 1: if you read between the lines, it's like curing blood 848 00:41:33,560 --> 00:41:35,560 Speaker 1: machine is just going to be inside your house. It's 849 00:41:35,600 --> 00:41:37,160 Speaker 1: like a cool like you can imagine then like a 850 00:41:37,200 --> 00:41:39,319 Speaker 1: sci fi movie where somebody's like, oh no, I got 851 00:41:39,320 --> 00:41:42,160 Speaker 1: exposed to the thing. Let's do Steve, Okay, you're you're 852 00:41:42,160 --> 00:41:45,400 Speaker 1: still safe. You can see Oscar eyes exactly, we can 853 00:41:45,400 --> 00:41:48,680 Speaker 1: see Oscar eyes that yeah, in like the in like 854 00:41:48,719 --> 00:41:51,240 Speaker 1: the reboot twenty years from now of the thing exactly, 855 00:41:51,560 --> 00:41:54,000 Speaker 1: that's way less good and doesn't have a drunk Kurt Russell, 856 00:41:54,040 --> 00:41:56,160 Speaker 1: which why would you even watch? What's the point. What's 857 00:41:56,160 --> 00:41:58,080 Speaker 1: the point if Kurt Russell is not drinking. Yeah, don't 858 00:41:58,080 --> 00:42:03,080 Speaker 1: reinterpret perfection. Don't reinter perfection. Speaking of perfection, the products 859 00:42:03,080 --> 00:42:05,680 Speaker 1: and services that advertise on this show and or program, 860 00:42:05,680 --> 00:42:09,640 Speaker 1: tightening my bitcoin tie, tight your bitcoin ties, everybody, and 861 00:42:09,960 --> 00:42:19,640 Speaker 1: listen to these ads. We're back. So putting boxes into 862 00:42:19,640 --> 00:42:22,480 Speaker 1: houses was the far off goal of Sarapis. Her more 863 00:42:22,520 --> 00:42:25,160 Speaker 1: immediate goals were too utterly disrupt and remake the entire 864 00:42:25,160 --> 00:42:28,520 Speaker 1: blood testing industry. Well normal veina puncture required large amounts 865 00:42:28,520 --> 00:42:30,680 Speaker 1: of blood to be painfully drawn. The nanottainer would only 866 00:42:30,680 --> 00:42:32,919 Speaker 1: need a little bit of blood while still being good 867 00:42:32,920 --> 00:42:35,040 Speaker 1: for hundreds of tests. Two hundred tests is what they 868 00:42:35,080 --> 00:42:36,560 Speaker 1: were hoping to, like, be able to do off like 869 00:42:36,640 --> 00:42:38,640 Speaker 1: a tiny little pin prick. I think that that's what 870 00:42:38,680 --> 00:42:40,719 Speaker 1: they were saying they could do that. That is what 871 00:42:40,800 --> 00:42:45,600 Speaker 1: they were fraudulently claiming they were Ye. Now, the Edison 872 00:42:45,680 --> 00:42:47,840 Speaker 1: machine would not be meant for consumer homes, but she 873 00:42:47,920 --> 00:42:50,280 Speaker 1: figured she could put them in Walgreens and other similar stores, 874 00:42:50,320 --> 00:42:52,000 Speaker 1: and eventually the goal was to get one within every 875 00:42:52,000 --> 00:42:54,600 Speaker 1: five miles and then every mile of every single American. 876 00:42:54,760 --> 00:42:56,879 Speaker 1: That was like the goal. Now, that kind of plan 877 00:42:56,960 --> 00:42:58,480 Speaker 1: was going to require a lot more money than the 878 00:42:58,480 --> 00:43:01,200 Speaker 1: first wave of a VC funding. And in two five, 879 00:43:01,239 --> 00:43:03,560 Speaker 1: when she was twenty one, Elizabeth used her dad's connection 880 00:43:03,600 --> 00:43:05,960 Speaker 1: to set up a meeting with Donald L. Lucas, another 881 00:43:06,000 --> 00:43:09,279 Speaker 1: incredibly influential venture capitalist. He agreed to put in more 882 00:43:09,280 --> 00:43:13,440 Speaker 1: money and also talked Oracle chairman Larry Ellison into investing. Okay, 883 00:43:13,680 --> 00:43:18,600 Speaker 1: now we've got some of the top tier free. Yeah, 884 00:43:19,280 --> 00:43:21,440 Speaker 1: we'll talk more about that later. Also in two thousan five, 885 00:43:21,440 --> 00:43:24,360 Speaker 1: the company made its best talent acquisition. Holmes hired a 886 00:43:24,360 --> 00:43:28,240 Speaker 1: brilliant scientist named Ian Gibbons. Gibbons was a legitimate genius, 887 00:43:28,280 --> 00:43:30,640 Speaker 1: an inventor with countless patents I think over two hundred 888 00:43:31,120 --> 00:43:32,920 Speaker 1: to his name, who was drawn to Tharonos by the 889 00:43:33,000 --> 00:43:36,080 Speaker 1: sheer ambition of its mission. He wanted to change the world, 890 00:43:36,320 --> 00:43:39,040 Speaker 1: but it quickly became apparent to him that Tharonosis technology 891 00:43:39,080 --> 00:43:41,000 Speaker 1: just did not work as well as it was supposed to. 892 00:43:41,120 --> 00:43:43,760 Speaker 1: The Edison machines couldn't actually perform more than a handful 893 00:43:43,800 --> 00:43:45,960 Speaker 1: of tests, and then of the results were very accurate. 894 00:43:46,280 --> 00:43:48,680 Speaker 1: The samples taken by the nanotainers were just too small 895 00:43:48,719 --> 00:43:50,879 Speaker 1: for most blood work. Some of this was what you'd 896 00:43:50,880 --> 00:43:53,800 Speaker 1: expect for new technology. The first couple pre market iterations 897 00:43:53,800 --> 00:43:56,640 Speaker 1: of the iPhone were garbage, for example, But Elizabeth Holmes 898 00:43:56,719 --> 00:43:59,360 Speaker 1: was hell bent on taking Tharonos technology to market. The 899 00:43:59,440 --> 00:44:02,239 Speaker 1: science would have to come later. In two thousand nine, 900 00:44:02,320 --> 00:44:05,439 Speaker 1: Sonny Balwanni joined Theonis. Sonny was a tech industry guy. 901 00:44:05,520 --> 00:44:07,879 Speaker 1: He made like forty million dollars selling a company prior 902 00:44:07,920 --> 00:44:09,720 Speaker 1: to Theonis, and he gave them like a thirteen million 903 00:44:09,760 --> 00:44:11,600 Speaker 1: dollar loan when he came on board because they were 904 00:44:11,640 --> 00:44:14,600 Speaker 1: really hurting for cash. He had no relevant medical or 905 00:44:14,640 --> 00:44:17,839 Speaker 1: engineering experience. Elizabeth Holmes made him. Was he willing to 906 00:44:17,920 --> 00:44:19,719 Speaker 1: yell at people. He was a great yeller, and that 907 00:44:19,719 --> 00:44:22,080 Speaker 1: seems to be most employees at Theroonis will say like 908 00:44:22,120 --> 00:44:24,120 Speaker 1: most of his job was yelling at them, although he 909 00:44:24,200 --> 00:44:26,160 Speaker 1: got trained in how to do and operate the blood 910 00:44:26,200 --> 00:44:28,640 Speaker 1: tests and stuff and was doing that as a like 911 00:44:28,680 --> 00:44:32,439 Speaker 1: a business Like that's no, don't do that. I mean, 912 00:44:32,480 --> 00:44:35,319 Speaker 1: everything about this business is like I mean, comparing like 913 00:44:35,400 --> 00:44:38,440 Speaker 1: people's health to iPhones is just like well, you know, 914 00:44:38,600 --> 00:44:41,919 Speaker 1: strikes one through three. There's I mean, there's I hate 915 00:44:41,920 --> 00:44:45,120 Speaker 1: to keep bringing it up, but there's stunning like coincidences 916 00:44:45,160 --> 00:44:47,280 Speaker 1: between this story and the Lisa Franks story. She also 917 00:44:47,400 --> 00:44:50,040 Speaker 1: like made her husband president to scream at people. Yeah, 918 00:44:50,080 --> 00:44:54,000 Speaker 1: there's also something in like the whole don't don't treat 919 00:44:54,040 --> 00:44:56,560 Speaker 1: everything like the tech industry. If your iPhone doesn't work, 920 00:44:57,719 --> 00:45:01,120 Speaker 1: no one dies, No one dies. If your blood testing 921 00:45:01,160 --> 00:45:06,160 Speaker 1: equipment doesn't work, you might not get treated for their cancer. Yeah. 922 00:45:06,320 --> 00:45:08,960 Speaker 1: In two thousand ten, Safeway in Walgrains both inked deals 923 00:45:08,960 --> 00:45:11,760 Speaker 1: to invest in Tharonos and carry its technology in special 924 00:45:11,760 --> 00:45:14,680 Speaker 1: blood clinics inside their brick and mortar locations. Safe Way 925 00:45:14,680 --> 00:45:17,320 Speaker 1: agreed to spend three and fifty million dollars on renovations 926 00:45:17,360 --> 00:45:19,840 Speaker 1: to host these labs, and also pumped thirty million investment 927 00:45:19,880 --> 00:45:22,680 Speaker 1: dollars into THEANOS itself. A number of people at Safeway 928 00:45:22,680 --> 00:45:25,480 Speaker 1: were hesitant about the deal due to theonos's infamous secrecy, 929 00:45:25,520 --> 00:45:27,839 Speaker 1: no one had actually seen much evidence of their technology, 930 00:45:28,200 --> 00:45:31,360 Speaker 1: but CEO Steve Bird was convinced the company was legit. 931 00:45:31,480 --> 00:45:34,239 Speaker 1: The Birdman, the Birdman, I don't know anything about him, 932 00:45:34,239 --> 00:45:38,640 Speaker 1: but his nickname now. According to bad Blood quote, Bird 933 00:45:38,719 --> 00:45:40,920 Speaker 1: was over the moon about the partnership. He saw Elizabeth 934 00:45:40,960 --> 00:45:43,480 Speaker 1: as a precocious genius and treated her with rare deference. 935 00:45:43,680 --> 00:45:46,920 Speaker 1: Normally loath to leave his offense unless it was absolutely necessary, 936 00:45:46,960 --> 00:45:49,680 Speaker 1: he made an exception for her, regularly driving across the 937 00:45:49,680 --> 00:45:52,640 Speaker 1: bay to Palo Alto. On one occasion, he arrived bearing 938 00:45:52,640 --> 00:45:54,840 Speaker 1: a huge white orchid. On another, he brought her a 939 00:45:54,880 --> 00:45:57,320 Speaker 1: model of a private jet. Her next one, he predicted, 940 00:45:57,400 --> 00:46:02,160 Speaker 1: would be real. The Birdman. I'd take a bag. I 941 00:46:02,200 --> 00:46:06,560 Speaker 1: hate the Birdman. We all hate the bird Bag. Tharoness 942 00:46:06,600 --> 00:46:09,359 Speaker 1: worked out a similar deal with Walgreens around the same time. Yeah, 943 00:46:09,400 --> 00:46:11,840 Speaker 1: he gives you a giver of vagina flower. Come on, birdman, freak. 944 00:46:12,960 --> 00:46:16,160 Speaker 1: Neither company was wild about sharing. Elizabeth promised Walgreens would 945 00:46:16,200 --> 00:46:18,680 Speaker 1: be the exclusive drug store vendor and safe We would 946 00:46:18,680 --> 00:46:21,760 Speaker 1: be the exclusive supermarket location. Both companies would be required 947 00:46:21,800 --> 00:46:24,440 Speaker 1: to spend just absurd amounts of money making their locations 948 00:46:24,440 --> 00:46:28,200 Speaker 1: fancy enough to host theirinos. Three fifty million dollars in renovations. 949 00:46:28,200 --> 00:46:31,320 Speaker 1: For Safe Way alone, Thearoness required that the instore clinics 950 00:46:31,360 --> 00:46:34,839 Speaker 1: have luxury carpeting, custom wood cabinets, granite countertops, high end 951 00:46:34,920 --> 00:46:38,160 Speaker 1: large screen TVs. They were required by contract to look 952 00:46:38,320 --> 00:46:42,600 Speaker 1: quote better than a SPA. What the I hate Silicon Valley, 953 00:46:42,800 --> 00:46:45,759 Speaker 1: really hate Silicon I wonder if Elizabeth was like, and 954 00:46:45,800 --> 00:46:47,600 Speaker 1: here's what needs to be playing on the TVs, and 955 00:46:47,640 --> 00:46:51,840 Speaker 1: it's like the Twilight. It was like like like vaguely 956 00:46:51,920 --> 00:46:54,600 Speaker 1: Eastern music, Like yeah, I'm gonna guess she was the 957 00:46:54,600 --> 00:46:56,239 Speaker 1: one who picked it too, so just like yeah, like 958 00:46:56,600 --> 00:47:00,040 Speaker 1: vague appropriation. SPA called she spent four days in a 959 00:47:00,160 --> 00:47:03,680 Speaker 1: pall and based the music on that. Yeah. Now, when 960 00:47:03,719 --> 00:47:06,279 Speaker 1: Thoroness sold itself to Walgreens in Safe Way, they did 961 00:47:06,320 --> 00:47:08,800 Speaker 1: so by claiming that you know, they were legally authorized 962 00:47:08,840 --> 00:47:11,120 Speaker 1: to do blood tests that functioned and stuff that was 963 00:47:11,280 --> 00:47:15,400 Speaker 1: not quite the truth, as Bad Blood describes. It had 964 00:47:15,440 --> 00:47:17,839 Speaker 1: initially represented that it's blood tests would qualify as WAVED 965 00:47:17,920 --> 00:47:21,040 Speaker 1: under the Clinical Laboratory Improvement Amendments, a nineteen eight law 966 00:47:21,080 --> 00:47:23,960 Speaker 1: that governed laboratories. The c l i A. WAVED tests 967 00:47:24,040 --> 00:47:26,879 Speaker 1: usually involved simple laboratory procedures that the Food and Drug 968 00:47:26,880 --> 00:47:29,680 Speaker 1: Administration had cleared for home use. Now Thoronis was changing 969 00:47:29,719 --> 00:47:31,520 Speaker 1: its tune and saying its tests would be offered in 970 00:47:31,520 --> 00:47:35,240 Speaker 1: Walgreen stores where laboratory developed tests. It was a big difference. 971 00:47:35,320 --> 00:47:37,640 Speaker 1: Laboratory developed tests lay in a gray zone between the 972 00:47:37,680 --> 00:47:40,480 Speaker 1: FDA and another federal health regulator, the Centers for Medicare 973 00:47:40,520 --> 00:47:43,600 Speaker 1: and Medicaid Services CMS, as a latter agency was known 974 00:47:43,680 --> 00:47:46,960 Speaker 1: exercised oversight of clinical laboratories under c l i A well. 975 00:47:47,000 --> 00:47:50,200 Speaker 1: The FDA regulated the diagnostic equipment that laboratories bought and 976 00:47:50,280 --> 00:47:52,839 Speaker 1: used for their testing, but no one closely regulated tests 977 00:47:52,840 --> 00:47:55,520 Speaker 1: that labs fashioned with their own methods. They found a 978 00:47:55,520 --> 00:47:58,520 Speaker 1: way to not be regulated for a while. They found yeah, 979 00:47:58,520 --> 00:48:02,920 Speaker 1: they found a loophole. Together with never having invented anything 980 00:48:04,200 --> 00:48:07,520 Speaker 1: great loophole. Kevin Hunter, a clinical laboratory specialists working with 981 00:48:07,520 --> 00:48:10,120 Speaker 1: Walgreens to make sure Aaronosis tech did what they said 982 00:48:10,120 --> 00:48:13,320 Speaker 1: it did, became skeptical about this change. Elizabeth and Sonny 983 00:48:13,320 --> 00:48:16,160 Speaker 1: claimed that all big laboratory companies used lab developed tests, 984 00:48:16,239 --> 00:48:19,360 Speaker 1: which was an obvious live to test them, Hunter suggested 985 00:48:19,400 --> 00:48:22,000 Speaker 1: doing a fifty patient study comparing Tharonis blood tests to 986 00:48:22,040 --> 00:48:24,520 Speaker 1: once from Stanford Hospital. They should not have been a 987 00:48:24,520 --> 00:48:27,680 Speaker 1: big deal if the technology worked, but Elizabeth's immediate response 988 00:48:27,760 --> 00:48:29,560 Speaker 1: was no, I don't think we want to do that. 989 00:48:29,600 --> 00:48:32,640 Speaker 1: At this time, Hunter warned his bosses at Walgreens that 990 00:48:32,640 --> 00:48:35,120 Speaker 1: ship looked shady. He pointed out that when Aaronos had 991 00:48:35,160 --> 00:48:37,640 Speaker 1: drawn the blood of Walgreens as president of Pharmacy business, 992 00:48:37,840 --> 00:48:40,840 Speaker 1: they'd never actually provided him with his test results. Hunter's 993 00:48:40,840 --> 00:48:43,560 Speaker 1: boss said, quote, we can't not pursue this. We can't 994 00:48:43,640 --> 00:48:45,719 Speaker 1: risk a scenario where CVS has a deal with them 995 00:48:45,760 --> 00:48:48,200 Speaker 1: in six months and it ends up being real right 996 00:48:48,960 --> 00:48:52,480 Speaker 1: fucking business right there, Jesus Christ. Tharoness was scheduled to 997 00:48:52,480 --> 00:48:55,160 Speaker 1: open Tharoness Wellness Centers and dozens of Arizona Walgreens in 998 00:48:55,200 --> 00:48:57,640 Speaker 1: two thousand and thirteen. As Elizabeth Holmes struggled to keep 999 00:48:57,640 --> 00:48:59,960 Speaker 1: anyone at Walgreens from finding out that her ship didn't work. 1000 00:49:00,080 --> 00:49:02,480 Speaker 1: She decided it was a good time to sue Richard Fuse. 1001 00:49:02,920 --> 00:49:05,440 Speaker 1: Now Fuse had basically created a patent out of spite 1002 00:49:05,480 --> 00:49:08,200 Speaker 1: that Elizabeth Holmes hadn't consulted him, her own neighbor before 1003 00:49:08,239 --> 00:49:14,680 Speaker 1: starting her company. Yeah, he's he's a physician. He's a physician, psychiatrist, inventor. 1004 00:49:15,760 --> 00:49:17,959 Speaker 1: I think he called his patent like the Theorpis Killer 1005 00:49:18,040 --> 00:49:19,680 Speaker 1: or something. Was like patenting a way to do the 1006 00:49:19,719 --> 00:49:21,120 Speaker 1: same thing they were trying to do. Just to be 1007 00:49:21,160 --> 00:49:23,840 Speaker 1: a dick. He seems like a dick. Yeah. Uh, the 1008 00:49:23,880 --> 00:49:25,960 Speaker 1: details of the case aren't super interesting, but what's important 1009 00:49:26,000 --> 00:49:29,480 Speaker 1: is that Fuses lawyers subpoena Theoronis executives involved in proprietary 1010 00:49:29,520 --> 00:49:33,400 Speaker 1: aspects of the company's technology. This included Ian Gibbons, by 1011 00:49:33,480 --> 00:49:35,839 Speaker 1: this point had been sidelined into an ancillary role within 1012 00:49:35,840 --> 00:49:37,960 Speaker 1: the company by Elizabeth due to his nasty habit of 1013 00:49:37,960 --> 00:49:39,840 Speaker 1: telling her that nothing worked and they really should not 1014 00:49:39,840 --> 00:49:42,200 Speaker 1: be using the stuff on human beings. I'm going to 1015 00:49:42,280 --> 00:49:44,239 Speaker 1: quote from a great Vanity Fair article on the fall 1016 00:49:44,280 --> 00:49:48,120 Speaker 1: of Theoronis by Nick Bilton quote. Gibbons didn't want to testify. 1017 00:49:48,400 --> 00:49:50,439 Speaker 1: If he told the court that the technology did not work, 1018 00:49:50,520 --> 00:49:52,319 Speaker 1: he would harm the people he worked with. That he 1019 00:49:52,360 --> 00:49:55,480 Speaker 1: wasn't honest about the technologies problems. However, consumers could potentially 1020 00:49:55,560 --> 00:49:58,719 Speaker 1: harm their health, maybe even fatally. Holmes, meanwhile, did not 1021 00:49:58,760 --> 00:50:01,400 Speaker 1: seem willing to tolerate his resistance. According to his wife, 1022 00:50:01,480 --> 00:50:04,520 Speaker 1: Ruschelle Gibbons, even though Gibbons had warned that the technology 1023 00:50:04,520 --> 00:50:06,719 Speaker 1: wasn't ready for the public, Holmes was preparing to open 1024 00:50:06,760 --> 00:50:10,200 Speaker 1: Parinos wellness centers and dozens of Walgreens across Arizona. Ian 1025 00:50:10,239 --> 00:50:11,879 Speaker 1: felt like he would lose his job if he told 1026 00:50:11,880 --> 00:50:14,080 Speaker 1: the truth, Ruschelle told me as she wept one summer 1027 00:50:14,120 --> 00:50:17,200 Speaker 1: morning in Palo Alto. Ian was a real obstacle for Elizabeth. 1028 00:50:17,200 --> 00:50:19,160 Speaker 1: He started to be very vocal. They kept him around 1029 00:50:19,160 --> 00:50:23,080 Speaker 1: to keep him quiet. On May sixteenth, thirteen, Ian Gibbons 1030 00:50:23,080 --> 00:50:25,319 Speaker 1: received a phone call from Elizabeth Holmes. She told him 1031 00:50:25,320 --> 00:50:26,759 Speaker 1: that she wanted to meet with him the next day 1032 00:50:26,760 --> 00:50:28,959 Speaker 1: in her office. He asked his wife if she thought 1033 00:50:28,960 --> 00:50:32,279 Speaker 1: Holmes was going to fire him. Rochelle said yes. That night, 1034 00:50:32,320 --> 00:50:35,160 Speaker 1: Ian Gibbons attempted suicide by taking an overdose of pills. 1035 00:50:35,280 --> 00:50:37,440 Speaker 1: He survived, but the pills did tremendous damage to his 1036 00:50:37,480 --> 00:50:40,000 Speaker 1: sixty nine year old body. One week later, he died 1037 00:50:40,000 --> 00:50:43,279 Speaker 1: in the hospital. That is like the the one of 1038 00:50:43,320 --> 00:50:47,120 Speaker 1: the most devastating elements of this entire story, because it 1039 00:50:47,120 --> 00:50:49,480 Speaker 1: was clearly just like a really brilliant guy who like 1040 00:50:49,760 --> 00:50:53,600 Speaker 1: couldn't take emotionally like failing at something like this and 1041 00:50:53,640 --> 00:50:55,920 Speaker 1: being like and it seems like she was really abusive 1042 00:50:55,960 --> 00:50:58,640 Speaker 1: to him, and like Sonny was too. In the absolutely 1043 00:50:58,640 --> 00:51:02,800 Speaker 1: sounds like like Elizabeth was like the the like gas lighter, 1044 00:51:02,880 --> 00:51:07,040 Speaker 1: and then Sonny was the enforcer. Yeah, exactly. Um, yeah, yeah, 1045 00:51:07,040 --> 00:51:09,720 Speaker 1: it's fun. It's incredibly sad. Yeah. In two thousand fourteen, 1046 00:51:09,719 --> 00:51:12,479 Speaker 1: that praiseful Fortune article dropped. On the surface, things looked 1047 00:51:12,480 --> 00:51:15,480 Speaker 1: great for Paris. On February four, two fourteen, the Partner 1048 00:51:15,520 --> 00:51:17,600 Speaker 1: Fund bought more than five point six million shares of 1049 00:51:17,640 --> 00:51:20,120 Speaker 1: Paronos at a price of seventeen dollars a share, bringing 1050 00:51:20,120 --> 00:51:22,880 Speaker 1: in ninety six million and raising Faronises overall value to 1051 00:51:23,000 --> 00:51:26,640 Speaker 1: nine billion. Overnight, Elizabeth, owner of more than half the company, 1052 00:51:26,719 --> 00:51:30,160 Speaker 1: became a multibillionaire. Fortune made a huge deal about homes 1053 00:51:30,160 --> 00:51:32,640 Speaker 1: being the youngest female self made billionaire in history, which 1054 00:51:32,640 --> 00:51:34,879 Speaker 1: would have been a hilariously inaccurate term for her even 1055 00:51:34,880 --> 00:51:38,120 Speaker 1: if her technology worked. That's really one of some of 1056 00:51:38,160 --> 00:51:40,719 Speaker 1: my favorite apologies surrounding the story are the guy is 1057 00:51:40,760 --> 00:51:43,480 Speaker 1: the guy who wrote the Fortune article, who's like almost crying. 1058 00:51:43,520 --> 00:51:48,040 Speaker 1: He's like, I did it check anything. It's like, well, 1059 00:51:48,200 --> 00:51:50,759 Speaker 1: he didn't check things, but he checked things with the 1060 00:51:50,800 --> 00:51:55,040 Speaker 1: people Paronos put forward for him to check, and like 1061 00:51:55,160 --> 00:51:58,040 Speaker 1: you see with John careyrew what a good journalist does 1062 00:51:58,160 --> 00:52:00,440 Speaker 1: when people said stuff like that, you know, and be 1063 00:52:00,520 --> 00:52:05,360 Speaker 1: like ask my mom, Like no, Yeah. That was a 1064 00:52:05,360 --> 00:52:08,480 Speaker 1: funny apology that the article that Fortune guy wrote really 1065 00:52:08,520 --> 00:52:11,160 Speaker 1: hammered in the idea that Elizabeth was a brilliant inventor. Today, 1066 00:52:11,160 --> 00:52:12,960 Speaker 1: Holmes is a co inventor on eighty two US and 1067 00:52:13,000 --> 00:52:15,399 Speaker 1: a hundred and eighty nine foreign patent applications, of which 1068 00:52:15,400 --> 00:52:17,200 Speaker 1: eighteen in the US and sixty six A brought up 1069 00:52:17,200 --> 00:52:18,800 Speaker 1: and granted. Those are an addition to a hundred and 1070 00:52:18,880 --> 00:52:21,799 Speaker 1: eighty six applications THEANOIS has filed worldwide that don't list 1071 00:52:21,800 --> 00:52:25,080 Speaker 1: Holmes is an inventor, of which eighteen have already been granted. Now, 1072 00:52:25,200 --> 00:52:27,239 Speaker 1: dr fuse alleges that this was bullshit, and this is 1073 00:52:27,280 --> 00:52:28,759 Speaker 1: one of the things I really do believe him on. 1074 00:52:28,880 --> 00:52:31,319 Speaker 1: He says that Holmes basically used legal trickery to take 1075 00:52:31,360 --> 00:52:33,719 Speaker 1: partial credit for the work of Dr Ian Gibbons. A 1076 00:52:33,800 --> 00:52:36,759 Speaker 1: dead man. Sounds correct, even though it was funded or 1077 00:52:36,800 --> 00:52:38,920 Speaker 1: Leon Thranis used a patent writer rather than a law 1078 00:52:38,960 --> 00:52:40,840 Speaker 1: firm to draft its patents. The patent writers not have 1079 00:52:40,880 --> 00:52:43,120 Speaker 1: a fiduciary duty to study prior art, so they just 1080 00:52:43,200 --> 00:52:45,040 Speaker 1: put her name on the patents, including ones that over 1081 00:52:45,239 --> 00:52:47,600 Speaker 1: lapped with what Gibbons had invented at a prior company. 1082 00:52:48,200 --> 00:52:51,480 Speaker 1: So that's fucking despicable. Stealing the work of a dead man. 1083 00:52:51,840 --> 00:52:54,640 Speaker 1: Pretty messed up. The only dead man who could have 1084 00:52:54,800 --> 00:52:58,520 Speaker 1: like made your stuff work. Yeah, pretty gross. I like 1085 00:52:58,640 --> 00:53:00,759 Speaker 1: to end by talking about Elizabeth Homes his reaction to 1086 00:53:00,800 --> 00:53:02,879 Speaker 1: the death of Ian Gibbons. When his widow called Homes 1087 00:53:02,920 --> 00:53:05,520 Speaker 1: his office to tell her what had happened, Elizabeth's secretary, 1088 00:53:05,640 --> 00:53:08,840 Speaker 1: being a human person, was horrified and offered her seemingly 1089 00:53:09,080 --> 00:53:12,680 Speaker 1: legitimate condolences. She promised to notify Homes at once. Elizabeth 1090 00:53:12,719 --> 00:53:14,960 Speaker 1: never reached out to Russelle. Instead, she had someone else 1091 00:53:15,040 --> 00:53:17,120 Speaker 1: called a new widow and the man she returned anytharanous 1092 00:53:17,160 --> 00:53:20,120 Speaker 1: property Givens had kept at his home. She also threatened 1093 00:53:20,120 --> 00:53:24,400 Speaker 1: to sue her if she talked to anyone she is. 1094 00:53:24,520 --> 00:53:28,000 Speaker 1: I mean, it's it's interesting hearing how many things about 1095 00:53:28,080 --> 00:53:31,200 Speaker 1: her do line up with her clearly modeling herself after 1096 00:53:31,320 --> 00:53:35,000 Speaker 1: Steve Jobs and just being a relentless asshole. Um, because 1097 00:53:35,320 --> 00:53:37,279 Speaker 1: Steve Jobs would never have reached out to a dead 1098 00:53:37,320 --> 00:53:42,399 Speaker 1: coworkers family like he was a tremendous asshole, was a huge. 1099 00:53:42,840 --> 00:53:45,440 Speaker 1: He didn't shower for weeks at a time and just 1100 00:53:45,520 --> 00:53:48,680 Speaker 1: made everyone deal with it openly hostile to everyone around him. 1101 00:53:49,040 --> 00:53:52,279 Speaker 1: And it's and and you know his products, you know 1102 00:53:52,440 --> 00:53:58,840 Speaker 1: it was dollars from the wa was her the watch 1103 00:53:59,160 --> 00:54:02,080 Speaker 1: when she killed him. Waz dated Kathy Griffin for a second, 1104 00:54:03,080 --> 00:54:06,840 Speaker 1: some great picks of them. I'm very PROA was getting 1105 00:54:06,840 --> 00:54:09,360 Speaker 1: it in. I'm sure he's horrible too, but he knows 1106 00:54:11,560 --> 00:54:13,840 Speaker 1: he made like three million dollars and then he instantly 1107 00:54:13,880 --> 00:54:16,680 Speaker 1: blew it all hosting a series of giant concerts. I 1108 00:54:16,800 --> 00:54:19,840 Speaker 1: didn't know that just and then now he just was 1109 00:54:19,920 --> 00:54:22,440 Speaker 1: just a guy. Everyone should look up the Steve Wozniya, 1110 00:54:22,520 --> 00:54:24,600 Speaker 1: Kathy Griffin picks from when they were a couple. They 1111 00:54:24,680 --> 00:54:29,560 Speaker 1: seem so happy. Yeah, but but it's like it's crazy that, like, 1112 00:54:30,320 --> 00:54:34,439 Speaker 1: you know, she so clearly modeled herself after they're cute. 1113 00:54:34,680 --> 00:54:36,839 Speaker 1: I bet he's really nice. I've never heard a bad 1114 00:54:36,920 --> 00:54:39,480 Speaker 1: thing about the laws. I I hope, I hope he's 1115 00:54:39,480 --> 00:54:43,759 Speaker 1: a good I mean, if there's one good person, a miracle. Yeah, 1116 00:54:44,480 --> 00:54:46,640 Speaker 1: but I don't know. It's it's weird the way that 1117 00:54:46,880 --> 00:54:50,040 Speaker 1: she you know, you can't funk with people's health. Number one, 1118 00:54:50,880 --> 00:54:54,640 Speaker 1: I'm glad no one died because of Sarah Knows. I 1119 00:54:54,760 --> 00:54:57,879 Speaker 1: do think that the way that like girl bosses versus 1120 00:54:57,960 --> 00:55:00,919 Speaker 1: boy bosses are treated when they are like people really 1121 00:55:01,040 --> 00:55:06,160 Speaker 1: relish and and the takedown of woman in business because 1122 00:55:06,560 --> 00:55:10,360 Speaker 1: even and she deserves it, but it serves like people 1123 00:55:10,680 --> 00:55:12,799 Speaker 1: relish it in a way that makes me uncomfortable. One 1124 00:55:12,840 --> 00:55:14,640 Speaker 1: of the most heartbreaking things I've ever read, because I 1125 00:55:14,719 --> 00:55:17,239 Speaker 1: covered Steve Joe when the first journalism job I had 1126 00:55:17,360 --> 00:55:19,239 Speaker 1: was in tech journalism. It was while Jobs was still 1127 00:55:19,239 --> 00:55:21,080 Speaker 1: alive and still running Apple, and so like, you know, 1128 00:55:21,320 --> 00:55:22,640 Speaker 1: you would have to write something about him and his 1129 00:55:22,680 --> 00:55:25,040 Speaker 1: company every like week or two because it was fucking Apple. 1130 00:55:25,080 --> 00:55:27,480 Speaker 1: And this is like when Apple was, you know, everything 1131 00:55:27,600 --> 00:55:30,480 Speaker 1: was blowing up there. UM. And I read a book 1132 00:55:30,560 --> 00:55:34,800 Speaker 1: about the founding of the company Um, and one of 1133 00:55:34,880 --> 00:55:36,800 Speaker 1: the stories in it is that when he and was 1134 00:55:36,880 --> 00:55:39,440 Speaker 1: before they founded Apple, like they got contracted with a 1135 00:55:39,520 --> 00:55:42,439 Speaker 1: tari uh to like make a product, and of course 1136 00:55:42,760 --> 00:55:45,160 Speaker 1: Jobs got them the contract and Wasn'ia did all the 1137 00:55:45,160 --> 00:55:49,080 Speaker 1: actual work and then Jobs they're supposed to split it 1138 00:55:49,160 --> 00:55:51,880 Speaker 1: fifty fifty, but Jobs stole five thousand dollars from from 1139 00:55:51,920 --> 00:55:55,200 Speaker 1: Wosnia acts and comback and Wasnia found out about it 1140 00:55:55,280 --> 00:55:57,120 Speaker 1: years later. It was because like an interviewer asked him 1141 00:55:57,120 --> 00:55:58,880 Speaker 1: about it, and he was like in tears about it 1142 00:55:59,280 --> 00:56:00,960 Speaker 1: because he had known it and he just like thought 1143 00:56:01,000 --> 00:56:02,560 Speaker 1: this guy was his friend, and he's like he never 1144 00:56:02,640 --> 00:56:04,080 Speaker 1: gave a shit about you. He just knew you were 1145 00:56:04,080 --> 00:56:08,880 Speaker 1: a genius? Was that you naive? Little sweetie pie? Know? 1146 00:56:09,160 --> 00:56:11,279 Speaker 1: I know it's a heartbreaker. May there never be a 1147 00:56:11,360 --> 00:56:14,480 Speaker 1: behind the bastards about was? I don't know that I 1148 00:56:14,520 --> 00:56:17,120 Speaker 1: can emotionally take writing that if there is anything terrible 1149 00:56:17,160 --> 00:56:20,600 Speaker 1: about it. I can never in good conscience trust a 1150 00:56:20,680 --> 00:56:23,560 Speaker 1: man and to be good, but I hope that he 1151 00:56:23,719 --> 00:56:26,960 Speaker 1: ends up being good. I can occasionally trust like an 1152 00:56:27,080 --> 00:56:29,959 Speaker 1: engineer and a scientist, although they also make our terrors, 1153 00:56:30,000 --> 00:56:32,279 Speaker 1: but it could you could occasionally like those guys, like 1154 00:56:32,400 --> 00:56:34,160 Speaker 1: the guy like it's the it's the fucking it's the 1155 00:56:34,200 --> 00:56:37,880 Speaker 1: people who are running the companies, like there's some decent 1156 00:56:39,440 --> 00:56:42,120 Speaker 1: couple one or two. Shirley, what do you what do 1157 00:56:42,160 --> 00:56:45,960 Speaker 1: you think about the Elizabeth Holmes movie being made? I 1158 00:56:46,040 --> 00:56:48,480 Speaker 1: think it's probably gonna be gross, right, Yeah, it's probably 1159 00:56:48,520 --> 00:56:50,759 Speaker 1: gonna be really gross. I think I think miss me 1160 00:56:50,880 --> 00:56:53,000 Speaker 1: with it. I don't. I don't want it. Yeah, I 1161 00:56:53,040 --> 00:56:55,680 Speaker 1: don't want it. I can't imagine it being tasteful. Um, 1162 00:56:56,080 --> 00:56:58,279 Speaker 1: I don't need Jennifer Lawrence to play Elizabeth Holmes. I 1163 00:56:58,400 --> 00:57:00,360 Speaker 1: don't need that. What I do what I need that. 1164 00:57:00,600 --> 00:57:03,759 Speaker 1: I would like an honest movie about Steve Jobs where 1165 00:57:03,880 --> 00:57:06,080 Speaker 1: it because he's he was a grifter. He want another 1166 00:57:06,200 --> 00:57:08,960 Speaker 1: movie about I want an actual movie about what he 1167 00:57:09,160 --> 00:57:12,560 Speaker 1: We got the that's the Ashton Cutcher one, Robert. I 1168 00:57:12,680 --> 00:57:14,680 Speaker 1: love the Ashton Kutcher one. I got blackout drunk on 1169 00:57:14,760 --> 00:57:18,720 Speaker 1: my twenty first birthday and Son theaters. That sounds awful. Actually. 1170 00:57:18,880 --> 00:57:20,800 Speaker 1: I love the part where he walked through the fields 1171 00:57:21,120 --> 00:57:24,720 Speaker 1: and he's like, I have an idea for computers. I 1172 00:57:24,880 --> 00:57:28,760 Speaker 1: love it, you play it's he's he's a He's a grifter. 1173 00:57:29,320 --> 00:57:31,240 Speaker 1: He's a horrible he was always a grifter. He was 1174 00:57:31,280 --> 00:57:34,560 Speaker 1: a grifter who did the same thing Elizabeth did. Is 1175 00:57:34,600 --> 00:57:36,560 Speaker 1: he like had these demands for a product that nobody 1176 00:57:36,640 --> 00:57:38,880 Speaker 1: could build, and he just stuck to his demands for 1177 00:57:38,920 --> 00:57:40,960 Speaker 1: the product until they could. And he got lucky that 1178 00:57:41,040 --> 00:57:43,120 Speaker 1: they got it right. And it was lucky that it 1179 00:57:43,240 --> 00:57:45,600 Speaker 1: was a good idea, because if it wasn't a good idea, 1180 00:57:45,640 --> 00:57:47,800 Speaker 1: he still would have stuck to it. With Holmes had 1181 00:57:47,800 --> 00:57:49,960 Speaker 1: a good idea too. They both like, you can't be 1182 00:57:50,040 --> 00:57:52,040 Speaker 1: a good grifter unless you understand what people want. And 1183 00:57:52,080 --> 00:57:54,480 Speaker 1: that's why he jobs was a great person to make 1184 00:57:54,600 --> 00:57:56,960 Speaker 1: certain decisions about like what do we want a smart phone? 1185 00:57:56,960 --> 00:57:58,840 Speaker 1: Because people have tried smartphones. He was the first part 1186 00:57:58,920 --> 00:58:01,120 Speaker 1: he was this like his one legitimate, brilliant thing was 1187 00:58:01,200 --> 00:58:03,560 Speaker 1: understanding what people wanted a device they were always going 1188 00:58:03,600 --> 00:58:05,440 Speaker 1: to have on them, right, Like that was his one 1189 00:58:05,560 --> 00:58:08,240 Speaker 1: real innovation because like sucking everything at the first apple 1190 00:58:08,320 --> 00:58:12,000 Speaker 1: was was wasniak that was any good? Right? Well, it 1191 00:58:12,040 --> 00:58:14,920 Speaker 1: sounds like the I mean, the mistake is truly just 1192 00:58:14,960 --> 00:58:17,600 Speaker 1: like putting people's lives at risk. Yeah, because you could 1193 00:58:17,600 --> 00:58:19,320 Speaker 1: funk up the iPhone a million times and no one 1194 00:58:19,360 --> 00:58:22,560 Speaker 1: would die exactly. And we all want what Elizabeth Holmes 1195 00:58:22,640 --> 00:58:24,280 Speaker 1: was selling. We all want like the thing that just 1196 00:58:24,360 --> 00:58:25,880 Speaker 1: takes a tiny drop of blood and they can do 1197 00:58:25,920 --> 00:58:28,480 Speaker 1: all these tests. Sounds great, it sounds great, but it 1198 00:58:28,640 --> 00:58:30,560 Speaker 1: just isn't possible. You know how to do it yet 1199 00:58:30,840 --> 00:58:34,560 Speaker 1: you know eventually they'll probably figure it out. Well, that's 1200 00:58:34,600 --> 00:58:36,960 Speaker 1: the episode. We've got a part two coming up on 1201 00:58:37,160 --> 00:58:39,600 Speaker 1: Thursday where we'll get to the rest of this sad story. 1202 00:58:39,720 --> 00:58:42,720 Speaker 1: But Loftissue want to plug some plugables up in the 1203 00:58:43,200 --> 00:58:47,120 Speaker 1: p zone as we call it here, the zone zone 1204 00:58:47,160 --> 00:58:48,920 Speaker 1: and the zone. I kind of hate it, but I 1205 00:58:49,040 --> 00:58:53,760 Speaker 1: like it. Okay, pop an air horn in there and okay. Uh. 1206 00:58:54,480 --> 00:58:57,440 Speaker 1: You can listen to the Bechdel Cast every week on Thursdays, 1207 00:58:58,120 --> 00:59:01,280 Speaker 1: and that's the podcast host with Caitlin Torante where we 1208 00:59:01,720 --> 00:59:05,680 Speaker 1: talk about women in movies. I'm doing a show called 1209 00:59:05,760 --> 00:59:10,480 Speaker 1: Boss Home is Girl m touring across the country later 1210 00:59:10,600 --> 00:59:14,680 Speaker 1: in the summer. You can go on my website or 1211 00:59:14,880 --> 00:59:19,440 Speaker 1: my Twitter at Jamie Lofta's help to find out more 1212 00:59:19,440 --> 00:59:21,840 Speaker 1: about that. Now, now that everyone knows who Elizabeth Holmes is. 1213 00:59:22,360 --> 00:59:25,040 Speaker 1: You know, you listen to make some tweaks. You could 1214 00:59:25,160 --> 00:59:30,440 Speaker 1: hear Jamie Loftus be Elizabeth Holmes in Cleveland. They're not 1215 00:59:30,640 --> 00:59:33,080 Speaker 1: in Cleveland. Not well that you can't. If you're in Cleveland, 1216 00:59:34,520 --> 00:59:37,919 Speaker 1: will have to funk off. No, And I'm not playing. 1217 00:59:38,240 --> 00:59:41,000 Speaker 1: I'm playing like a fictionalized character. There's a lot pulled 1218 00:59:41,040 --> 00:59:43,880 Speaker 1: from her. But if you live in New York, Philadelphia, Boston, 1219 00:59:44,760 --> 00:59:47,760 Speaker 1: l A, or Chicago, you'll see it. Well, for some reason, 1220 00:59:47,800 --> 00:59:50,000 Speaker 1: you live in one of those non Cleveland studies. Check 1221 00:59:50,040 --> 00:59:52,680 Speaker 1: out Jamie Loftus is Boston Home was Girl. You can 1222 00:59:52,680 --> 00:59:54,240 Speaker 1: find me on Twitter at I right, Okay. You can 1223 00:59:54,280 --> 00:59:56,920 Speaker 1: buy T shirts at public dot com Behind the Bastards 1224 00:59:57,360 --> 00:59:59,919 Speaker 1: we have shirts. You can put them on your body, 1225 01:00:00,120 --> 01:00:03,960 Speaker 1: hide your nakedness, cover up your bits. All of those 1226 01:00:04,040 --> 01:00:07,040 Speaker 1: things are options with T Public. Your bits will be 1227 01:00:08,040 --> 01:00:13,240 Speaker 1: package uh. Sex positive or sex negative both. Yeah, we're 1228 01:00:13,280 --> 01:00:17,040 Speaker 1: positive of the concept of sex. Negative about people having yeah, 1229 01:00:17,320 --> 01:00:21,880 Speaker 1: just negative about joy if it's like joyless sex. I 1230 01:00:21,920 --> 01:00:25,520 Speaker 1: have another podcast called it Could Happen Here. It's horribifying 1231 01:00:26,440 --> 01:00:31,400 Speaker 1: and sad. Listen to it. Ye hard sell every Wednesday 1232 01:00:32,280 --> 01:00:35,800 Speaker 1: Sophie's saying every Wednesday, I love about you.