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Spilling the Blood of a Silicon Valley Unicorn | Tyler Shultz and Erika Cheung: 2019 — Transcript

by McCoy Family Center for Ethics in Society · 15,145 words · 2,422 segments · language en · Watch on YouTube

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  1. 0:06Good evening and welcome.
  2. 0:08My name is Colin Anthony and I'm the
  3. 0:10associate director for undergraduate
  4. 0:12outreach for the Center for Ethics and
  5. 0:14Society here at Stanford University.
  6. 0:17Our center aims to encourage and promote
  7. 0:20ethical reflection through not only
  8. 0:22research and scholarship in the
  9. 0:23classroom, but also through student
  10. 0:25engagement and community events such as
  11. 0:28this one this evening.
  12. 0:31In planning this event, I have had the
  13. 0:33unique privilege of working with many
  14. 0:35undergraduate university leaders on
  15. 0:38campus without whom this event would not
  16. 0:40have been possible.
  17. 0:42This includes our co-sponsors of
  18. 0:44tonight's event,
  19. 0:45the student group CS + Social Good.
  20. 0:49Founded in 2013,
  21. 0:51this group offers leadership
  22. 0:53opportunities that range from summer
  23. 0:55fellowships at the Haas Center for
  24. 0:56Public Service,
  25. 0:58and opportunities for courses where
  26. 1:00students can build projects for
  27. 1:02nonprofit organizations.
  28. 1:05In my work with CS + Social Good, I have
  29. 1:08been constantly amazed and by the
  30. 1:10passion, rigor, and commitment that
  31. 1:13undergraduates have brought to the
  32. 1:15table. And so I urge undergraduates in
  33. 1:18the audience here to reach out to me if
  34. 1:20you have an idea that that connects
  35. 1:23ethics and society that you would like
  36. 1:25to see um envisioned in society and at
  37. 1:28this university. So please reach out to
  38. 1:30our center and reach out to CS + Social
  39. 1:32Good if you have any ideas that you
  40. 1:34would like to work on and and become a
  41. 1:35reality.
  42. 1:38Before moving forward, I want to share
  43. 1:40with you the format of this evening's
  44. 1:42event.
  45. 1:43First, I will turn it over to Alexander
  46. 1:45Lamb, an undergraduate who's affiliated
  47. 1:48with the center, who's going to be
  48. 1:49giving a sort of brief overview
  49. 1:51presentation of the Theranos saga before
  50. 1:53introducing our speakers.
  51. 1:56The interview is set to conclude at 8:00
  52. 1:59p.m., after which there will be a Q&A
  53. 2:01period for 30 minutes.
  54. 2:04I will allow for specific audience
  55. 2:07members if they need to leave at 8:00
  56. 2:08p.m. to exit the auditorium during that
  57. 2:10time.
  58. 2:11At 8:00
  59. 2:12after the interview concludes, there
  60. 2:14will be microphones in each of the
  61. 2:16aisles, as well as a microphone in the
  62. 2:18balcony, and at that time I will ask you
  63. 2:20to line up for question and answers.
  64. 2:24With that said, please join me in
  65. 2:26welcoming Alexander Lamb, an
  66. 2:28undergraduate and affiliate with the
  67. 2:29Center of Ethics and Society, who will
  68. 2:31guide us through the story of Theranos
  69. 2:33and then introduce our our speakers.
  70. 2:36Alexander?
  71. 2:44Hi, good evening everyone and thank you
  72. 2:46for joining us tonight. I'm very excited
  73. 2:48to be here.
  74. 2:49I'd like to begin tonight's event with a
  75. 2:51photo.
  76. 2:53Uh one second.
  77. 2:56Four years ago, Elizabeth Holmes, the
  78. 2:58CEO and founder of Theranos, sat in this
  79. 3:01very auditorium.
  80. 3:03Here she promised to deliver technology
  81. 3:05that would revolutionize the healthcare
  82. 3:07industry in the 21st century.
  83. 3:09The idea behind her technology was
  84. 3:11simple, yet groundbreaking.
  85. 3:14With only a single prick of blood,
  86. 3:16patients could gain access to hundreds
  87. 3:18of blood test results and use them to
  88. 3:20make important medical decisions.
  89. 3:23As shown here on the cover of Forbes
  90. 3:24magazine, Elizabeth Holmes is holding
  91. 3:26what she called a nanotube of blood
  92. 3:29between her very fingers.
  93. 3:31Because of this technology's potential
  94. 3:33impact on the health of millions of
  95. 3:35people, she claimed that it was {quote}
  96. 3:37the most important thing humanity has
  97. 3:39ever built.
  98. 3:41This vision gripped the imagination of
  99. 3:43Silicon Valley and attracted influential
  100. 3:45figures to support her company,
  101. 3:47including the former US Secretary of
  102. 3:49State George Shultz, who is the
  103. 3:51grandfather of one of our guests
  104. 3:52tonight, Tyler Shultz.
  105. 3:54She also convinced investors such as
  106. 3:56Rupert Murdoch of the Fox News
  107. 3:58Corporation and the Walton family of
  108. 4:00Walmart to back her company.
  109. 4:02At its peak, Theranos was valued at over
  110. 4:05$9 billion
  111. 4:06and Elizabeth Holmes was named the
  112. 4:08world's youngest self-made female
  113. 4:10billionaire.
  114. 4:12Heralded as the next Steve Jobs, she
  115. 4:14dressed in black turtlenecks and
  116. 4:15described her technology as the iPod of
  117. 4:18healthcare.
  118. 4:19However, despite her lofty promises and
  119. 4:22celebrity status, there were deep flaws
  120. 4:24in both her technology and business
  121. 4:26practices.
  122. 4:28In her relentless pursuit of success,
  123. 4:30she manipulated lab results, deceived
  124. 4:32government inspectors, and instilled a
  125. 4:35crippling fear in her employees as she
  126. 4:37struggled to hide the fact that the
  127. 4:39technology she promised was simply not a
  128. 4:41reality.
  129. 4:43In fact, in a brazen case of deception,
  130. 4:45Elizabeth Holmes guided Joe Biden
  131. 4:48through what turned out to be a fake
  132. 4:49laboratory with staged equipment in an
  133. 4:52attempt to convince the public that her
  134. 4:54technology was ready and that she could
  135. 4:56be trusted.
  136. 4:58Her ruse had worked. In 2013, despite
  137. 5:01glaring deficiencies in Theranos's
  138. 5:03faulty technology, Elizabeth Holmes
  139. 5:05scaled out products to neighborhood
  140. 5:07Walgreens stores, where patients made
  141. 5:09serious medical decisions on the basis
  142. 5:11of dubious tests.
  143. 5:14Uh many stories emerged of people
  144. 5:17receiving diagnoses for conditions that
  145. 5:19they simply did not have, which
  146. 5:21bewildered medical professionals and
  147. 5:23frightened patients.
  148. 5:25But for the employees inside Theranos,
  149. 5:27some of them had seen enough, which
  150. 5:29brings us to the real story of tonight,
  151. 5:32the story of two courageous individuals,
  152. 5:34Erika Cheung and Tyler Shultz, who in
  153. 5:37their very first jobs after college
  154. 5:39risked their personal and professional
  155. 5:41lives to stand for what is right.
  156. 5:43As we hear and learn from their
  157. 5:45experiences this evening, they will
  158. 5:47surely serve as an important reminder to
  159. 5:49us all for what happens when myth is
  160. 5:51mistaken for reality and when values are
  161. 5:54divorced from technology.
  162. 5:56And interviewing our two guests tonight
  163. 5:58with questions from many of you in the
  164. 6:00audience will be Sasank Munukutla, an
  165. 6:02undergraduate here at Stanford and
  166. 6:04member of the student group CS + Social
  167. 6:06Good. So without further ado, please
  168. 6:08join me in welcoming Erika, Tyler, and
  169. 6:11Sasank to the stage.
  170. 6:16Well, Erika and Tyler, on behalf of the
  171. 6:18Stanford community, I would like to
  172. 6:19thank you for being here today. Um
  173. 6:21Thanks for having us. Yeah, thanks for
  174. 6:22having us. There has certainly has been
  175. 6:24a lot of excitement around campus to
  176. 6:26hear from you.
  177. 6:27Now, Alexander earlier mentioned um that
  178. 6:30Elizabeth Holmes sat here right in your
  179. 6:32chair in Cemex Auditorium not too long
  180. 6:35ago.
  181. 6:37How do you feel about that?
  182. 6:39Um considering the seat she was sitting
  183. 6:41in today, I hope the trend stops here.
  184. 6:45Yeah.
  185. 6:46Yeah.
  186. 6:47Yeah, it's it's a bit surreal, honestly.
  187. 6:49Like uh you never would have expected by
  188. 6:52joining Theranos that this is what would
  189. 6:54have happened. I never expected that,
  190. 6:57you know, I'd enter into a company that
  191. 6:59ended up being a big fraud case.
  192. 7:02So, yeah, it's a bit surreal.
  193. 7:05As a student myself and a lot of us in
  194. 7:07the audience today are students, I would
  195. 7:09like you to think back to college. What
  196. 7:11were your experiences like and what drew
  197. 7:13you to Theranos as your first real job
  198. 7:15after college?
  199. 7:18Do you want me to go with this one?
  200. 7:20Okay.
  201. 7:21Yeah, so I a little bit of background, I
  202. 7:23studied molecular and cell biology and
  203. 7:25linguistics and I was on the academic
  204. 7:29track. So I was trying
  205. 7:31to see about getting a PhD after
  206. 7:33college, but had kind of become a little
  207. 7:35disillusioned with academia and uh
  208. 7:39fell in love with like the vision of
  209. 7:41Theranos that it was like getting
  210. 7:43research that was in a lab and making it
  211. 7:45into a commercialized product.
  212. 7:47Um and was super sold on the vision,
  213. 7:51totally drank the Kool-Aid initially,
  214. 7:54uh you know, making healthcare more
  215. 7:56accessible and affordable
  216. 7:59um was kind of right up my alley and
  217. 8:02how cool would it be to work for a tech
  218. 8:04company in the Silicon Valley, right?
  219. 8:06The place to be for technology. So that
  220. 8:09kind of drew me to Theranos and also
  221. 8:11Elizabeth Holmes drew me to Theranos.
  222. 8:13From the little that I'd read on the
  223. 8:14media,
  224. 8:16um having a really strong female
  225. 8:18entrepreneur who was um
  226. 8:22basically worked very hard to start her
  227. 8:24own company
  228. 8:26uh was really appealing to me and so
  229. 8:28that's why I decided to go working with
  230. 8:30Theranos. I had other two other job
  231. 8:32opportunities actually at Stanford and
  232. 8:34UCSF, but I turned them both down to to
  233. 8:36work for Theranos, so.
  234. 8:38Yeah,
  235. 8:39so when I started working at Theranos,
  236. 8:41that was after my junior year of
  237. 8:42college, actually. So I was a junior at
  238. 8:45Stanford majoring in mechanical
  239. 8:47engineering and then I actually met
  240. 8:49Elizabeth Holmes and I totally fell in
  241. 8:52love with her vision and changed my
  242. 8:55major to biology so I could do some more
  243. 8:57chemistry and um
  244. 8:59yeah, I I was only a bio major for two
  245. 9:01quarters, but I ended up graduating
  246. 9:03graduating biology and then going to
  247. 9:04Theranos.
  248. 9:07Could you tell us more about both of
  249. 9:09your roles at Theranos? What did your
  250. 9:11work entail?
  251. 9:12Uh so I started out in protein
  252. 9:15engineering, so I was developing
  253. 9:16antibodies that would be used in the
  254. 9:18tests, but four days after I started
  255. 9:20doing that job full-time, they actually
  256. 9:21shut down all the research labs and put
  257. 9:24us all into what was called the assay
  258. 9:26validation team. Um and the reason that
  259. 9:29I was told was that that team was like
  260. 9:3120 people and then dropped down to like
  261. 9:33eight people super quickly cuz they were
  262. 9:35working, you know, through the night.
  263. 9:38Um
  264. 9:39and
  265. 9:41yeah, so then I moved into assay
  266. 9:43validation
  267. 9:44uh where our goal was really to take a
  268. 9:46test and make sure that it was safe to
  269. 9:48use, you know, on on the general public.
  270. 9:52Yeah.
  271. 9:53Uh so I started off in research and
  272. 9:55development and that's where Tyler and I
  273. 9:56actually met. So, I was on the assay
  274. 9:58validation team as well. Um and as I
  275. 10:02started working with the company, they
  276. 10:04also did the same thing where they're
  277. 10:05like, "Actually, the clinical lab needs
  278. 10:07a lot of help. So, we're going to change
  279. 10:09your job role and you're going to work
  280. 10:10in the clinical lab." So, I was in
  281. 10:12charge of taking Theranos' proprietary
  282. 10:14devices that we were validating in
  283. 10:16research and development and then
  284. 10:18integrating it into the clinical lab.
  285. 10:21And the clinical lab, just to give
  286. 10:22everyone context, is where you process
  287. 10:24patient samples. So, that's regulated by
  288. 10:27the Center of Medicare
  289. 10:28Medicare and Medicaid services. Am I
  290. 10:31saying that right? And uh and the FDA.
  291. 10:35Sure. Um I think it was nice to hear
  292. 10:37from you that, you know, you were often
  293. 10:39moved between different teams. Other
  294. 10:41people described the culture of fear at
  295. 10:42the company. Entire divisions and teams
  296. 10:45were siloed away from each other with no
  297. 10:47communication between them. I'd love to
  298. 10:49hear more about that culture of fear at
  299. 10:52Theranos and what that meant for both of
  300. 10:53you personally.
  301. 10:55Yeah, so there would be like
  302. 10:57uh like barriers up that would surround
  303. 10:59where the devices were. So, even if you
  304. 11:00were in the lab, you still couldn't see
  305. 11:02the devices. So, like I worked there for
  306. 11:043 months and didn't see a single device.
  307. 11:07Um it wasn't until I moved uh into the
  308. 11:10assay validation team that I actually
  309. 11:12saw a device for the first time. And
  310. 11:14it's kind of crazy to think that you
  311. 11:15have like most of your company working
  312. 11:17towards something that they've never
  313. 11:19even seen.
  314. 11:20Um and that's how siloed it was. Um but
  315. 11:23I remember there was one funny
  316. 11:25one funny thing that happened where like
  317. 11:26a a light bulb went out. So, they had
  318. 11:28like an electrician come in and he
  319. 11:30stands on this like 12-ft ladder and
  320. 11:31puts in the light bulb where he can see
  321. 11:33over all of the barriers.
  322. 11:34Um so, I saw that happening and I just
  323. 11:36thought,
  324. 11:38I feel like those barriers are there
  325. 11:39like
  326. 11:41really for I don't know. It felt weird
  327. 11:43that they didn't care about the like
  328. 11:44like someone from the outside seeing. It
  329. 11:45seemed like it was a barrier to like
  330. 11:47make us like the employees realize um
  331. 11:50that they weren't supposed to to know
  332. 11:52things.
  333. 11:53It was also for the vendors too. I would
  334. 11:55talk to We had these machines called
  335. 11:57TECANs. They were these robotic liquid
  336. 11:59handling arms. And they'd find it so
  337. 12:01ridiculous cuz the moment you entered
  338. 12:03into Theranos, the first thing that they
  339. 12:04have you do is sign an NDA and sign like
  340. 12:08this sort of like if you do see
  341. 12:10anything, you are not allowed to
  342. 12:11disclose what you see inside there. And
  343. 12:14this was for vendors, new employees. Um
  344. 12:17and by the time you were employee,
  345. 12:19you've already signed a contract that
  346. 12:21you cannot disclose anything uh that
  347. 12:23you've seen within those those halls.
  348. 12:25But, yeah, there were all these weird
  349. 12:29man-filled obstructions. Sometimes
  350. 12:31they'd be escorted all throughout the
  351. 12:34building with like two security guards
  352. 12:36to make sure that they didn't see
  353. 12:37anything. I actually remember that when
  354. 12:39I first started, there was a list of
  355. 12:41words they gave me that I was not
  356. 12:42allowed to say when describing my job.
  357. 12:45Yeah. And I don't remember exactly what
  358. 12:47was on the list, but it was like
  359. 12:48pipette, research, biology.
  360. 12:51Yeah, that's right.
  361. 12:53Yeah. Okay.
  362. 12:55And you couldn't put it on LinkedIn. You
  363. 12:57couldn't put it on anything. Which was
  364. 12:59funny because when all this stuff blew
  365. 13:00up, we had to say we were part of a
  366. 13:02private biotech company. So, you almost
  367. 13:04always knew that someone worked at
  368. 13:05Theranos because they probably had
  369. 13:07private biotech company on their
  370. 13:09LinkedIn profile. Um
  371. 13:12Um but then they had a really intense
  372. 13:13work culture as well. Like Sunny, the
  373. 13:15president of the company, would walk
  374. 13:16through the labs like 3:00 in the
  375. 13:18morning to make sure people were there
  376. 13:19working.
  377. 13:20Um
  378. 13:22Yeah. Yeah. Just very intense place. And
  379. 13:25a lot of people were scared of losing
  380. 13:26their jobs. You know, all these people
  381. 13:28had families that they needed to support
  382. 13:30and feed. And so, constantly
  383. 13:34feeling the pressure of needing to make
  384. 13:37Sunny and Elizabeth happy and produce
  385. 13:39whatever results that they needed to
  386. 13:41kind of further whatever initiatives
  387. 13:44that they seemed to have come up with
  388. 13:46those days. There was a lot of pressure
  389. 13:48to perform and provide the the results
  390. 13:52that they needed. Uh and we had a lot of
  391. 13:56members of the team who weren't
  392. 13:57necessarily US citizens too. They were
  393. 13:59sponsored. They were scared that if they
  394. 14:01stopped working for Theranos, they would
  395. 14:02no longer have a visa.
  396. 14:04Um but there was a lot of pressure to
  397. 14:06get the results specifically that Sunny
  398. 14:08and Elizabeth wanted at at any cost. And
  399. 14:12really a sentiment that if you didn't
  400. 14:14produce, say, if you didn't get this
  401. 14:16assay validated and say that, you know,
  402. 14:18vitamin D is getting the perfectly
  403. 14:20accurate results, there was something
  404. 14:22wrong with you. There was nothing wrong
  405. 14:24with the technology, nothing wrong with
  406. 14:26uh
  407. 14:26you know, the chemistry. It was like you
  408. 14:28were not performing well and you weren't
  409. 14:30getting this done. Um was generally the
  410. 14:34the culture.
  411. 14:36Both of you discovered troubling results
  412. 14:39of various forms despite this culture of
  413. 14:41fear and managed to think through of
  414. 14:43those results on your own. What exactly
  415. 14:45did you find and how did you go about
  416. 14:47finding those troubling results?
  417. 14:51Yeah. I think we were talking about this
  418. 14:53backstage about when I started working
  419. 14:55for Theranos, it must've been like 2
  420. 14:57months in where I was really struggling
  421. 14:59with when did 2 + 2 = 6? Cuz this has
  422. 15:02never been a fact ever
  423. 15:06in all of my education. Um but there
  424. 15:09were simple things in research and
  425. 15:10development. We were watching people
  426. 15:12basically tamper with data. They were
  427. 15:13cherry-picking results. This is like
  428. 15:15fundamentals of scientific integrity.
  429. 15:18You show all the data. Even if it
  430. 15:19doesn't show the accuracy you want, the
  431. 15:22CVs you want, you keep it in there. And
  432. 15:25that provides you with the information
  433. 15:27to know I'm doing something wrong. But
  434. 15:29instead of taking those as signals of
  435. 15:32I'm doing something wrong, people would
  436. 15:34want to alter it to get better accuracy
  437. 15:36rates, to get better CVs. And so, that
  438. 15:39was the first kind of like, "What is
  439. 15:41going on here? I've never been in a
  440. 15:43laboratory where this has happened." Uh
  441. 15:46and then for me, because I had gone from
  442. 15:49research and development, research and
  443. 15:50development, you know things are going
  444. 15:52to go wrong. That's kind of your job is
  445. 15:55to fix the problems of what's going on.
  446. 15:57But then going into the clinical lab and
  447. 15:59taking what I'd seen not work and and
  448. 16:02just constantly being falsified and then
  449. 16:05putting it in a clinical setting where
  450. 16:07now I was having to test patients. And I
  451. 16:09was basically using these same tests
  452. 16:11that I saw not working in a research
  453. 16:13setting on patients, um
  454. 16:17started to raise even more red flags. In
  455. 16:20addition to watching inspectors come in
  456. 16:23and
  457. 16:24you know, Sunny and Elizabeth not
  458. 16:25showing them the actual technology we
  459. 16:27were using on patients and all these
  460. 16:29things. I'd only worked there to give
  461. 16:31her for 7 months. Right? So, it was
  462. 16:34pretty quick. Like probably about a
  463. 16:36month
  464. 16:38and a half in that I started seeing like
  465. 16:40something's not right here.
  466. 16:42Um
  467. 16:43but yeah, those were some of the
  468. 16:45instances. So, for me, my first red flag
  469. 16:47was the first time that I saw what they
  470. 16:49called the open reader. So, they had one
  471. 16:51reader where they didn't have a shell on
  472. 16:53it. So, you could actually see what the
  473. 16:54protocol was doing inside.
  474. 16:56So, when I first joined the assay
  475. 16:57validation team, they showed me and um
  476. 17:00a senior scientist, like my uh my boss
  477. 17:03from the engineer from the protein
  478. 17:04engineering lab, we saw it at the same
  479. 17:06time.
  480. 17:07And um you can immediately tell that
  481. 17:10nothing in there is is new. So, the
  482. 17:13senior scientist looked at the person
  483. 17:14who was demoing the device and said,
  484. 17:16"Do you think this is very cool?" And
  485. 17:18then the woman who's giving me the demo
  486. 17:20just went,
  487. 17:21"I'll let I'll let you decide for
  488. 17:23yourself if you think this is cool." and
  489. 17:24walked away. And at that point I like I
  490. 17:26kind of realized that it was this like
  491. 17:27open secret that it wasn't real.
  492. 17:31Um and then I started working with the
  493. 17:32devices and going to these daily
  494. 17:34meetings where we would go over the data
  495. 17:36from the day before and you quickly fall
  496. 17:38into the habit of just deleting
  497. 17:41experiments that don't look good. Even
  498. 17:42just parts of experiments that don't
  499. 17:44look good. We would go through the
  500. 17:45meeting and go, "Oh, that looks weird.
  501. 17:46Let's rerun those. Let's rerun."
  502. 17:48Everything was okay, what do we need to
  503. 17:49rerun? And we just rerun it. So, you
  504. 17:51delete it, repeat and repeat it, fill in
  505. 17:54the data with the new with the newly
  506. 17:56collected data.
  507. 17:57Um
  508. 17:59and then for me, a big red flag,
  509. 18:01probably the biggest red flag, was when
  510. 18:02we were doing this for the syphilis test
  511. 18:04and I was doing what they called
  512. 18:06precision testing. So, I ran the same
  513. 18:08sample over and over to see how much
  514. 18:10variation there was.
  515. 18:11And I found that at our cutoff level,
  516. 18:13there was a 43% coefficient of
  517. 18:16variation. So, the standard deviation
  518. 18:18was 43% of the expected value or the
  519. 18:20mean, which is enormous.
  520. 18:24And then we ran samples that were known
  521. 18:26to be positive for syphilis. And the
  522. 18:28first time we did that, we only got 65%
  523. 18:31correct. So, we said, "Okay, that's not
  524. 18:32good. Let's try that again." And then we
  525. 18:34got 80% correct.
  526. 18:36Um and then we did this other test
  527. 18:38called finger stick versus venous where
  528. 18:40we would actually collect samples from
  529. 18:42within Theranos, from our own from
  530. 18:44ourselves and from our co-workers. We
  531. 18:46would get the finger prick. We would get
  532. 18:48the venous draw. We would test them both
  533. 18:50and compare the results to make sure
  534. 18:51that, you know, you could actually do a
  535. 18:52finger prick for this.
  536. 18:54And a ton of us tested positive for
  537. 18:57syphilis.
  538. 19:00And I remember the manager of our lab
  539. 19:02just going,
  540. 19:03"Guys, it's not impossible."
  541. 19:08Uh I guess it's not impossible, but if
  542. 19:11it's plausible, then we should maybe
  543. 19:13send out like a company-wide email or
  544. 19:17something. But obviously, no one no one
  545. 19:19took that seriously. So, Yeah. Um that
  546. 19:22was a huge red flag.
  547. 19:23Um yeah, the syphilis test was
  548. 19:24definitely for me like the big the big
  549. 19:27kind of like wake-up call. Yeah.
  550. 19:29And after reporting these troubling
  551. 19:32results, um you voiced after recording
  552. 19:34these troubling results, both of you
  553. 19:35voiced your concerns, which led to
  554. 19:38threats of various sorts. Tyler, at your
  555. 19:40worst, it was reported you were followed
  556. 19:42by private investigators. You had
  557. 19:44lawyers showing up to your grandfather's
  558. 19:46house unannounced on what was a friendly
  559. 19:48visit. Erika, you had an individual
  560. 19:50follow you to your new workplace, um who
  561. 19:53even knew your temporary home address,
  562. 19:55which even your mom wasn't aware of.
  563. 19:57Um how did you handle
  564. 19:59that type of pressure, and how did you
  565. 20:01handle the threats um when you reported
  566. 20:03your concerns?
  567. 20:06Oh,
  568. 20:07I did a lot of running cuz I
  569. 20:09was so paranoid and freaked out. Um
  570. 20:12yeah, it was
  571. 20:14it was a really tough process. I hadn't
  572. 20:17expected them to quite go to that
  573. 20:19degree, so
  574. 20:20um
  575. 20:21essentially
  576. 20:23after we had reported, I had been
  577. 20:25getting calls from Theranos and had
  578. 20:27chose, "Okay, I'm not going to engage
  579. 20:28with these people because I don't owe
  580. 20:30them anything. There's no reason to
  581. 20:32engage with them." And And after that,
  582. 20:36uh they had showed up at my workplace.
  583. 20:38So, I was working late. My coworkers had
  584. 20:40come up to me and they said, "Erica,
  585. 20:42there's been someone who's been sitting
  586. 20:43outside all day. We don't feel
  587. 20:45comfortable for you to just go alone
  588. 20:47into your car. We're going to walk you
  589. 20:49to your car." And
  590. 20:51they walk me to my car. This man comes
  591. 20:53up to me and he hands me this letter,
  592. 20:55and I look at the letter and I see it,
  593. 20:57and it was for an address for a
  594. 20:59temporary home I was staying. I was in
  595. 21:00between houses, and so I was staying
  596. 21:02with my coworker Julia, and I was
  597. 21:05completely freaked out because no one
  598. 21:08had known this address. No one knew I
  599. 21:10was living in this place. I was
  600. 21:11technically only staying in this place
  601. 21:13Monday through Friday, and then every
  602. 21:14weekend I'd go to LA or and see my
  603. 21:17family and move stuff.
  604. 21:19Um and completely panicked. And actually
  605. 21:23uh
  606. 21:24it was a bit weird because Tyler and I
  607. 21:26were going through similar experiences,
  608. 21:28but actually had to silo from one
  609. 21:29another. And I had made up this cuz I
  610. 21:32thought I was being followed. Tyler, I
  611. 21:34think, was also being paranoid about he
  612. 21:36was followed. I
  613. 21:37had this lamp that I said I'd give him.
  614. 21:40So, I just like randomly had this lamp
  615. 21:42in my house and showed up at his house
  616. 21:44and pretended that the reason I was
  617. 21:46there was to give him this lamp. And
  618. 21:49then we went into this like backwood
  619. 21:50area to talk to each other to just check
  620. 21:52in and like, "What is going on?
  621. 21:55What is going on? Like, I am absolutely
  622. 21:57terrified right now. I don't feel
  623. 21:59comfortable talking to anyone. Like, at
  624. 22:02this point, you know, I think I'm I was
  625. 22:0323, right? I have no money to my name,
  626. 22:06thinking that I'm going to have to hire
  627. 22:07a lawyer, and not knowing how much
  628. 22:09that's going to cost me. Um and it and
  629. 22:12and I'm being followed, right? People
  630. 22:14are taking the extreme of of following
  631. 22:16me places, so Yeah, actually, I think
  632. 22:18Erica, we had like a an extra room, and
  633. 22:20Erica was supposed to stay in that extra
  634. 22:22room for a little while, and she said
  635. 22:23she could bring me a lamp because I had
  636. 22:24no light in my room.
  637. 22:26Um
  638. 22:27literally no light. Um and then I just
  639. 22:31started ignoring her. She would text me,
  640. 22:33she would message me on Facebook, and I
  641. 22:35just stopped talking to her hoping she
  642. 22:37would like get the hint or something.
  643. 22:39Which I did.
  644. 22:39But then I was actually in my driveway
  645. 22:41when I saw her driving down our into our
  646. 22:44driveway, and I remember thinking, "Oh,
  647. 22:45no."
  648. 22:47Um cuz we weren't I wasn't supposed to
  649. 22:49be talking to anyone from Theranos
  650. 22:51anymore.
  651. 22:52Um but then I obviously really wanted to
  652. 22:53talk to Erica, so I didn't send her
  653. 22:55away.
  654. 22:57Um
  655. 22:58but then I remember we went inside and I
  656. 23:00was like, "Uh actually, let's go back
  657. 23:01outside." And we went into this like
  658. 23:03random place. I was living out in Los
  659. 23:04Altos Hills, so we went like down into
  660. 23:07the bushes.
  661. 23:08Um
  662. 23:09because we knew someone was following
  663. 23:12us, and like I don't know. I was
  664. 23:15I don't know. We were just
  665. 23:17I had a burner phone for like over a
  666. 23:19year because I was scared my phone was
  667. 23:21being tapped. And maybe that was me
  668. 23:23being very, very paranoid, but that's
  669. 23:25again back to that statement of culture
  670. 23:27of fear.
  671. 23:28Um just the amount of secrecy, signing
  672. 23:32the NDAs, the retaliation of coming
  673. 23:34after employees.
  674. 23:36This is how paranoid a lot of us were.
  675. 23:39We like I Yeah, I had a a fake phone for
  676. 23:43over a year. And if I wanted to discuss
  677. 23:46anything, like I never said the word
  678. 23:48Theranos. It was like you know, the like
  679. 23:51forbidden word for a long time,
  680. 23:52especially in near any of my phone
  681. 23:54communication cuz I was I was so nervous
  682. 23:56about
  683. 23:58the potential consequences of what that
  684. 24:00that could have.
  685. 24:02I had a burner phone, too. Yeah.
  686. 24:06With all these threats, intimidation
  687. 24:09tactics, how did you still find the
  688. 24:11courage? Was there ever a thought of
  689. 24:13just remaining silent and just moving
  690. 24:15on, perhaps like some of the other
  691. 24:17employees at the company?
  692. 24:19Um well, I think at that point it was
  693. 24:22too late.
  694. 24:23You know, by the time we were getting
  695. 24:24kind of bullied around, it was the
  696. 24:26decision had been made.
  697. 24:27Um I at least had no idea what I was
  698. 24:30getting into when I got into it. Um
  699. 24:35I I I mean, I had no idea what was
  700. 24:37coming. Mhm.
  701. 24:39But once I was in it, there was I was
  702. 24:42there was no question in my mind that I
  703. 24:44was
  704. 24:45about being right. I knew I was right.
  705. 24:48Um
  706. 24:49there was I was not going to give in.
  707. 24:51There's no way. I was so stubborn. Yeah.
  708. 24:53There was no way I was going to say I
  709. 24:55was wrong when I knew I was right. No
  710. 24:56chance.
  711. 24:58Yeah. I had a different experience than
  712. 25:00Tyler. We're talking about this. Like, I
  713. 25:01really felt
  714. 25:03uh there's this term that I just learned
  715. 25:04called gaslighting, and it's where you
  716. 25:07make someone believe that they are the
  717. 25:09crazy one. And you use these different
  718. 25:11manipulation tactics to make someone
  719. 25:13believe that. And really at Theranos, I
  720. 25:16thought I was missing something, that I
  721. 25:18didn't have enough information, the fact
  722. 25:20that I was with people who were PhDs
  723. 25:21from MIT, that we had huge teams of
  724. 25:24people working on this project. We were
  725. 25:27almost like 200, 300 employees.
  726. 25:30Me being 22 and come fresh graduate out
  727. 25:34of college, like I just was missing
  728. 25:36something.
  729. 25:37And for me, it wasn't until I knew there
  730. 25:40was a lot of messed up things going on,
  731. 25:42and frankly, I'm just not one of those
  732. 25:43people who can kind of keep quiet. Like,
  733. 25:46I'm just going to tell you like, "Yeah,
  734. 25:47this is wrong. Like, I don't know what
  735. 25:48they're doing, but you know, this was my
  736. 25:50experience, and I'm
  737. 25:51uh for better or worse, very transparent
  738. 25:54uh about about information in general.
  739. 25:57Um but it was it wasn't until that type
  740. 26:00of retaliation that I knew
  741. 26:02"Okay,
  742. 26:04they're hiding something." You know, the
  743. 26:06fact that they're going to these types
  744. 26:07of lengths to come after me, again being
  745. 26:10a 22-year-old who's a fresh grad,
  746. 26:13um there's something going on here.
  747. 26:15Like, I you know, they're lying to
  748. 26:18patients. And honestly, because they'd
  749. 26:20come after me and I had to seek the help
  750. 26:23of a lawyer, I was able to have a
  751. 26:25conversation with them about "How do I
  752. 26:27report this to a regulatory agency? What
  753. 26:29does it mean to be a whistleblower? What
  754. 26:31are the next steps to make sure that
  755. 26:33they stop processing patient samples?"
  756. 26:35Because
  757. 26:36you know, at this point I know and I'm
  758. 26:38certain that they're trying to cover
  759. 26:39something up.
  760. 26:41Um
  761. 26:42and so in in a weird way, it kind of
  762. 26:45backfired on me that they retaliated.
  763. 26:46But then it gave it empowered me with
  764. 26:49the information I needed to know to say
  765. 26:52"I know how I can tell CLIA everything
  766. 26:53they need to know
  767. 26:55to where they can do this inspection and
  768. 26:57actually find out are they
  769. 27:01um testing patients the way that's
  770. 27:03appropriate?" And come to find out it
  771. 27:05wasn't, and and CLIA shut them down,
  772. 27:07which was
  773. 27:08um
  774. 27:09ultimately what I wanted in the end. I
  775. 27:11wanted them not to let let not have them
  776. 27:14lie to patients anymore.
  777. 27:16Yeah.
  778. 27:17On the note of intense retaliation, my
  779. 27:19next question is for you specifically,
  780. 27:21Tyler. The Wall Street Journal reported
  781. 27:23that you'd incurred over $400,000
  782. 27:26in legal fees, and that your parents
  783. 27:28almost had to sell their house to defend
  784. 27:30you. Um your grandfather was also on the
  785. 27:33board of Theranos. How did you handle
  786. 27:36this type of pressure, especially
  787. 27:37knowing that family was involved?
  788. 27:40Um I mean, it definitely was not easy.
  789. 27:44So, at at that time
  790. 27:47uh I mean, my lawyers told me that the
  791. 27:50only people I can talk to you are my
  792. 27:51wife,
  793. 27:52my lawyers, and my priest. And I'm not
  794. 27:55religious, and I'm not married.
  795. 27:59So, the only person I can talk to you
  796. 28:02are my lawyers, and that is an extremely
  797. 28:05expensive therapy session.
  798. 28:08I wasn't talking to anybody, um and it
  799. 28:10was really weird for me to be
  800. 28:11disconnected from my parents. You know,
  801. 28:12my parents obviously knew crazy things
  802. 28:14were happening, but they didn't know
  803. 28:15what the details were.
  804. 28:17Um but the only source of information
  805. 28:19that they were getting was actually from
  806. 28:21my grandfather, which is ultimately um
  807. 28:23he was kind of like a a microphone for
  808. 28:25Elizabeth. So, Elizabeth could talk to
  809. 28:27my parents, but I couldn't talk to my
  810. 28:28parents. It was kind of how it seemed.
  811. 28:30Um
  812. 28:31so, they were kind of under the
  813. 28:32impression that I was being I was the
  814. 28:34crazy one. They were told that 80% of
  815. 28:37what the Wall Street Journal came only
  816. 28:38from me.
  817. 28:39Um that I was being unreasonable in our
  818. 28:42negotiations to try to settle things.
  819. 28:44Um so, we had a tough conversation where
  820. 28:47they said, you know,
  821. 28:48"The next opportunity you have to sign
  822. 28:50something, just sign it um and end this.
  823. 28:53This is not your fight anymore. You've
  824. 28:54done enough."
  825. 28:56Um
  826. 28:57and you know, they said, "We will
  827. 28:59support you no matter what, and we will
  828. 29:01sell our house to keep paying for your
  829. 29:02legal fees, but please just end it."
  830. 29:06Um but I didn't do that. I let it keep
  831. 29:08going, racked up a huge
  832. 29:11a huge bill, but um my parents were
  833. 29:13awesome the entire time. Luckily, it
  834. 29:15ended
  835. 29:17luckily, they stopped bothering me
  836. 29:18before it came to the point where they
  837. 29:20had to sell their house.
  838. 29:21Um but yeah, it was a huge huge bill at
  839. 29:25the end of the day, but it's funny cuz
  840. 29:27for me
  841. 29:28um
  842. 29:29it ended up being I kind of saw money as
  843. 29:32like runway. I had really no emotional
  844. 29:35attachment to it. I saw it as like,
  845. 29:37"Okay, I can put up a fight for this
  846. 29:39long, so
  847. 29:41I need to, you know, figure out ex- be
  848. 29:43No, obviously be um
  849. 29:46be smart, but um
  850. 29:49you know
  851. 29:50fight This is how long I can I can put
  852. 29:51up a fight. I didn't have like an
  853. 29:53emotional attachment to oh no, I'm
  854. 29:54losing hundreds of thousands of dollars
  855. 29:56as this goes on.
  856. 29:58Um and I think that just goes back to
  857. 30:00how stubborn I was and how
  858. 30:02how convicted I was in in knowing that I
  859. 30:05was right.
  860. 30:08Sure. I would like to reflect now more
  861. 30:11on the board of Theranos. The board of
  862. 30:13Theranos
  863. 30:14um included secretaries of state,
  864. 30:16secretaries of defense, generals, a lot
  865. 30:19of other big names and influential
  866. 30:21people.
  867. 30:22Would you say that these individuals,
  868. 30:24would you hold them guilty or culpable
  869. 30:25in any way? Or would you feel they were
  870. 30:27totally unaware, just placeholders,
  871. 30:30really?
  872. 30:34I mean,
  873. 30:36it's one of those things when you come
  874. 30:37in as an investor
  875. 30:39um I I guess this is a good warning sign
  876. 30:43to investors, hey, do your due
  877. 30:45diligence, right? If you don't know
  878. 30:47anything about medical diagnostics,
  879. 30:49maybe you should bring someone in to
  880. 30:51kind of research what the product is and
  881. 30:54the people behind it and and what's kind
  882. 30:56of going on here.
  883. 30:57I think in the case of Theranos and what
  884. 30:59we saw by the SE SEC filings and
  885. 31:02everything, they were feeding their
  886. 31:03investors a lot of false information.
  887. 31:06So, how would an you know, the board of
  888. 31:08directors members know what the extent
  889. 31:11of which was going on if
  890. 31:14you know, Sun-
  891. 31:15Sunny and Elizabeth were lying to their
  892. 31:18board members about what was happening.
  893. 31:20Um I think they strategically decided to
  894. 31:22choose board members that didn't have a
  895. 31:24medical background, that didn't have a
  896. 31:26biotechnology background, so they were
  897. 31:28able to
  898. 31:30um
  899. 31:31not have people that would investigate
  900. 31:32very deeply in kind of the technology
  901. 31:34and what was going on.
  902. 31:36Um whether they should be held
  903. 31:38accountable or not, it's it's hard to
  904. 31:40say, right? Cuz you don't know what
  905. 31:41those conversations were. I I highly
  906. 31:44doubt uh all of these people would have
  907. 31:48invested in this company and continued
  908. 31:51um their commitment to the company,
  909. 31:53which many of them didn't, you know, as
  910. 31:56as more information was getting exposed
  911. 31:59if they had known what was actually
  912. 32:00going on.
  913. 32:04Yeah. Yeah, it's hard to know. I mean, I
  914. 32:06think the board the board was negligent
  915. 32:08at best.
  916. 32:10So, I think there is some responsibility
  917. 32:12there and I think anytime you give
  918. 32:13someone a check for over a hundred
  919. 32:14million dollars, you are giving that
  920. 32:15person an incredible amount of power
  921. 32:18and you should
  922. 32:20you should do more due diligence, I
  923. 32:22think. There was a
  924. 32:23a complete lack of due diligence that is
  925. 32:25just astounding. Yeah.
  926. 32:27And we were talking about this, like it
  927. 32:29was kind of like an echo chamber, where
  928. 32:31it's like you get that one guy that you
  929. 32:32have a lot of respect for who then gets
  930. 32:34like one other guy who they have a lot
  931. 32:36of respect for and then you have, you
  932. 32:38know, Elizabeth basically convincing
  933. 32:40both of them that they're great and then
  934. 32:42they're telling each other how great
  935. 32:44Elizabeth is, but it's all fed from the
  936. 32:46information of this one person and then
  937. 32:48it just kind of Yeah. gets it echoes
  938. 32:52around And then even if you do bring in,
  939. 32:54you know, one more person, it's like,
  940. 32:56okay, you you expect this one person to
  941. 32:58tell secretaries of state, defense
  942. 33:01that they're all wrong.
  943. 33:03No, yeah, it's not going to happen.
  944. 33:06Especially if you I mean, yeah, if
  945. 33:08they're like your friend or whatever.
  946. 33:10Yeah. Like
  947. 33:12Henry Kissinger brought in this surgeon
  948. 33:14from New York who he says is the
  949. 33:16smartest man in the world. So, obviously
  950. 33:17they're good friends.
  951. 33:19Um of course he's just going to like I
  952. 33:21don't
  953. 33:22apparently he like did due diligence or
  954. 33:24whatever and said it was all good, but
  955. 33:26you know, I don't know. But how honest
  956. 33:28is he really going to be with all these
  957. 33:30people?
  958. 33:33I'd like to explore the theme of
  959. 33:35accountability a bit more, especially
  960. 33:36with the employees now. Many employees
  961. 33:38at Theranos stayed silent despite
  962. 33:40knowing that the claims made in the
  963. 33:42media were obviously false and knowing
  964. 33:45that patients were at risk. On their
  965. 33:46perspective, they were arguably silenced
  966. 33:49by intense pressure from Theranos,
  967. 33:51including the threat of heavy
  968. 33:53litigation, intimidation tactics as as
  969. 33:55you've already mentioned. Would you hold
  970. 33:57your fellow employees who stayed silent
  971. 33:59culpable or guilty in any way?
  972. 34:03That's super hard, right? I definitely
  973. 34:05do not. Yeah, I don't either, but
  974. 34:08Um
  975. 34:10I mean, it was a really tough situation.
  976. 34:12Um like if I could go back and give
  977. 34:14myself my advice, I would probably tell
  978. 34:16myself not to do anything. Like that
  979. 34:18would be my advice, like
  980. 34:20you're going to pay a huge huge price
  981. 34:22for this. Someone will figure it out
  982. 34:23anyway, don't do it.
  983. 34:25Knowing myself, I would have ignored
  984. 34:27that advice and done it anyway, but
  985. 34:30Um but I I don't think any less of my
  986. 34:34co-workers who didn't do what I did.
  987. 34:38Yeah, it's really complicated, right?
  988. 34:40Because these people, again, they have
  989. 34:41families, they have
  990. 34:45Okay, there there are several different
  991. 34:46things. So, Theranos was a big
  992. 34:47organization. So, if you're a software
  993. 34:49developer just doing the interface for
  994. 34:51how the machines work, you're not really
  995. 34:53going to know what's going on with the
  996. 34:55patient processing. So, there are a lot
  997. 34:57of employees that were just very
  998. 34:59ignorant to what was actually going on.
  999. 35:02One, because of the way that the
  1000. 35:03structure of the company was worked,
  1001. 35:05there were physical barriers blocking
  1002. 35:07people. There was card key access where
  1003. 35:09some people couldn't get in and others
  1004. 35:11could.
  1005. 35:12Um
  1006. 35:13So, so it makes it really hard for a lot
  1007. 35:16of even the internal employees going
  1008. 35:19like within the company to know what's
  1009. 35:20going on. And then the people working in
  1010. 35:24a clinical setting, like an example is
  1011. 35:26we had clinical lab scientists that
  1012. 35:28typically would work in hospitals, they
  1013. 35:30do all the patient processing. For us in
  1014. 35:32the clinical lab, a clinical lab
  1015. 35:34scientist could not see what was going
  1016. 35:37on with the Edisons and the Theranos
  1017. 35:39proprietary devices until they could be
  1018. 35:41trusted. So, we had CLSs that were on
  1019. 35:44board, but they were stuck in a separate
  1020. 35:47room and not to see the actual machines
  1021. 35:49that we were using to test the patients.
  1022. 35:51So, there were definitely a lot of
  1023. 35:53processes like this that like the own
  1024. 35:56staff and employees were guarded from
  1025. 35:58seeing what's going on.
  1026. 36:00Um you know, even in my case, I didn't
  1027. 36:03end up reporting to the Center of
  1028. 36:05Medicaid and Medicare Services until I
  1029. 36:06talked to a lawyer. Like never in my
  1030. 36:09life would I have anticipated that I was
  1031. 36:11going to have to report a company to a
  1032. 36:13regulatory agency. There is nothing in
  1033. 36:16life that prepares you for that
  1034. 36:17experience at all. There's just like no
  1035. 36:20school class, nothing. No one
  1036. 36:22anticipates having to do this.
  1037. 36:24Um and so even that first step of
  1038. 36:27engagement is really hard to figure out.
  1039. 36:29Like for me, I
  1040. 36:31how how do you find the number to for
  1041. 36:34the Center of Medicaid and Medicare
  1042. 36:36Services with the specific domain of lab
  1043. 36:40diagnostics, right? Like just even
  1044. 36:42finding that phone number is actually
  1045. 36:43quite hard. Um
  1046. 36:46So, it it's it's it's one of those
  1047. 36:48things that, you know, no one is really
  1048. 36:49prepared for these types of instances of
  1049. 36:52of of what to do and it really took, I
  1050. 36:55think, the specific
  1051. 36:57experiences that, you know, I had at
  1052. 36:59least I can speak for myself
  1053. 37:01um to know what to do and that empowered
  1054. 37:03me to sort of make the decision to to
  1055. 37:05come forward.
  1056. 37:09I'd now like to move on to a broader
  1057. 37:11reflection, I guess, of Silicon Valley
  1058. 37:13on the whole. Now, many people associate
  1059. 37:15Silicon Valley, of course, with um
  1060. 37:18limitless innovation
  1061. 37:20pioneering novel technology, but there
  1062. 37:21has been pushback against its reckless
  1063. 37:23culture. Vaporware, the public marketing
  1064. 37:26of technology that is yet to be fully
  1065. 37:28realized, is perhaps the worst result of
  1066. 37:30this.
  1067. 37:31Um so, do you think there is a broader
  1068. 37:33problem with Silicon Valley culture, of
  1069. 37:35which Theranos and Facebook are just
  1070. 37:37symptoms of?
  1071. 37:39Mhm.
  1072. 37:40Um so, after Theranos, I actually
  1073. 37:42started my own company and I was part of
  1074. 37:43the the Stanford StartX incubator.
  1075. 37:47And overall, I would say, you know,
  1076. 37:49almost every single person in there is
  1077. 37:51just a really passionate person and
  1078. 37:55they're not I mean, I don't think anyone
  1079. 37:57in that incubator, at least, is selling
  1080. 37:59vaporware.
  1081. 38:00Um
  1082. 38:01So, in my experience, I would say no, I
  1083. 38:04don't I don't I don't think it's a
  1084. 38:06it's a huge problem. I I genuinely think
  1085. 38:08that most entrepreneurs are just really
  1086. 38:10passionate, smart people.
  1087. 38:12Yeah.
  1088. 38:13I think the problem here isn't
  1089. 38:15necessarily saying, okay, I want to
  1090. 38:17build this product, I need capital do
  1091. 38:19that and you know, this is my idea and
  1092. 38:24this is like the
  1093. 38:25the, you know, minimal viable product
  1094. 38:28that I have and here are my plans, can
  1095. 38:29you give me the capital to sort of build
  1096. 38:31this? Right? And that's that's very
  1097. 38:33normal. That process is very normal. I
  1098. 38:34think the like greater problem here is
  1099. 38:37is
  1100. 38:38uh lying and and sort of being
  1101. 38:40delusional. And this this happens across
  1102. 38:42the board. You know, in the case like
  1103. 38:46you know, not disclosing to someone uh
  1104. 38:49not disclosing to your investors that
  1105. 38:52you know, I am launching a product
  1106. 38:55that's not ready on patients. Like that
  1107. 38:58that's a problem, right? Like that's a
  1108. 39:00that's a severe problem. Um
  1109. 39:05I
  1110. 39:05think
  1111. 39:07it's hard to say, like we were talking
  1112. 39:08about the software model. So, in
  1113. 39:10software, you have this instance where
  1114. 39:12you iterate constantly. Like what makes
  1115. 39:15a good technology product is the fact
  1116. 39:16that you can, you know, kind of throw
  1117. 39:19something out there, see how people
  1118. 39:21respond, based on what the better
  1119. 39:23response rate is, you curtail to the
  1120. 39:25next thing. And I think at Theranos,
  1121. 39:28they were trying to take the same
  1122. 39:29software model, but with medical
  1123. 39:32diagnostics. And you can't do that,
  1124. 39:34right? You can't decide, okay, I'm going
  1125. 39:36to launch this product, sacrifice six
  1126. 39:38patients,
  1127. 39:40uh you know, see if like some responded
  1128. 39:42well, then I can move, you know, in this
  1129. 39:46other direction to sort of iterate and
  1130. 39:47improve on these medical diagnostics.
  1131. 39:49It's just really it's it's a different
  1132. 39:51industry, it's a different field, and
  1133. 39:52it's not something that, you know, you
  1134. 39:54can just test on a few users here and
  1135. 39:56then kind of change what the the the the
  1136. 39:59product looks like. It's it's it's a
  1137. 40:01very different, um,
  1138. 40:04it's a just a very different industry.
  1139. 40:05You just can't do that in health care.
  1140. 40:08Do you think that there should be any
  1141. 40:10alternative cultures that should try to
  1142. 40:11be fostered, or would you or do you
  1143. 40:13believe that it's fine to segregate,
  1144. 40:15keep software as it is, or would you
  1145. 40:16want to
  1146. 40:17hope to do any you would you hope for
  1147. 40:20any alternative culture and hope that
  1148. 40:22that would maybe inspire the other
  1149. 40:25industries to have to be less reckless,
  1150. 40:27perhaps? Yeah,
  1151. 40:28just be honest, you know? Just be
  1152. 40:30honest, just be transparent. Uh,
  1153. 40:35be transparent and honest with your
  1154. 40:36customers and with your investors, and
  1155. 40:39just say like, "Look, this is where
  1156. 40:40we're at." Uh, and you know, these are
  1157. 40:43be passionate still about what the
  1158. 40:45possibilities of them some things are,
  1159. 40:47but be realistic in like what can
  1160. 40:50actually be reality versus
  1161. 40:53Yeah, got to be clear about what is
  1162. 40:54vision. Yeah.
  1163. 40:56What's the vision and what is reality?
  1164. 40:58Exactly. Um,
  1165. 41:01yeah.
  1166. 41:01Yeah, entrepreneurs are definitely
  1167. 41:02responsible for selling the vision, so
  1168. 41:06I guess sometimes it's easy to get like
  1169. 41:07too caught up in selling your vision you
  1170. 41:10start pretending like it's real. Yeah.
  1171. 41:12But
  1172. 41:13I think I don't think it happens.
  1173. 41:16I don't know. In my experience, I
  1174. 41:17haven't seen that happen too too often.
  1175. 41:20Uh, I see it a lot. Uh, I'm on the I see
  1176. 41:23it all the time. Especially, yeah, I see
  1177. 41:26it all the time. In Hong Kong, ICOs have
  1178. 41:28been very big, and just watching people
  1179. 41:31uh, now raise money in a very
  1180. 41:34unregulated way, I've seen people say,
  1181. 41:36"Oh, yeah, I have this great like
  1182. 41:38electronic medical records system, you
  1183. 41:40know, it's going to leverage AI to be
  1184. 41:42able to do pre-predictive diagnostics."
  1185. 41:44And you ask them the simple question,
  1186. 41:46"Hey, let me Can I see your product? Can
  1187. 41:48I see a product demo?" And it's a Google
  1188. 41:49Form. Like that's all it is, and you're
  1189. 41:51like,
  1190. 41:52But they still showed you the Google
  1191. 41:53Form.
  1192. 41:53They still showed me, yeah. Yeah. It's
  1193. 41:56like, "Look, you can input your name."
  1194. 41:58I'm like, "Oh, great."
  1195. 42:02Um,
  1196. 42:03Elizabeth would have said proprietary.
  1197. 42:05Proprietary, yeah, exactly. That was
  1198. 42:07that was the scope proprietary. Sorry, I
  1199. 42:09cannot disclose this. Um,
  1200. 42:12yeah, I I I think now coming from an
  1201. 42:15investment perspective is like just be
  1202. 42:16honest, just be transparent. Like people
  1203. 42:19want these things to succeed, especially
  1204. 42:21the vision like Theranos, right? Making
  1205. 42:24diagnostics
  1206. 42:26cheaper to produce, more affordable. You
  1207. 42:28wouldn't even need insurance to be able
  1208. 42:30to get these tests done. Like who
  1209. 42:32wouldn't want to support a project like
  1210. 42:34that? If you're honest with me and tell
  1211. 42:36me like, "Look, this is our vision, this
  1212. 42:38is what we want to do, this is where
  1213. 42:39we're at, you know, we anticipate, you
  1214. 42:42know, we need to hit these milestones by
  1215. 42:43this point, you know, this is our plan,
  1216. 42:45this is our strategy." I'm more than
  1217. 42:47willing to give you cash. Many investors
  1218. 42:50are more than willing to give you cash
  1219. 42:52in order to
  1220. 42:54have that come into fruition.
  1221. 42:56But don't don't lie about it. Don't
  1222. 43:01falsify data. Don't, um, falsify how
  1223. 43:04much revenue you're making. All these
  1224. 43:06things, it's like really just just being
  1225. 43:09honest. It's such a simple thing. It's
  1226. 43:11it's almost hard to say that we that's
  1227. 43:14an alternative culture.
  1228. 43:16Um, you know,
  1229. 43:17uh,
  1230. 43:18yeah.
  1231. 43:20On those values of honesty and
  1232. 43:23transparency, um, what do you think
  1233. 43:25should be the role of educational
  1234. 43:26institutions such as here at Stanford in
  1235. 43:28preparing young graduates to navigate
  1236. 43:31ethical challenges in their careers?
  1237. 43:36You got anyone with this one? Um, I
  1238. 43:39don't know. I think it'd be really
  1239. 43:40really tough. I don't think I could have
  1240. 43:41taken a class that prepared me for this.
  1241. 43:44Yeah. Um, I think it's in probably most
  1242. 43:47important to just be introspective about
  1243. 43:49the
  1244. 43:50about your own experiences. Like
  1245. 43:53after this happened to me, I've had tons
  1246. 43:55of people come tell me that say, "Oh,
  1247. 43:57I've experienced something very similar,
  1248. 43:59obviously not on the same magnitude, but
  1249. 44:02very similar situation." Like so many
  1250. 44:04people have said that, and I think
  1251. 44:05probably everyone in this room has an
  1252. 44:07experience that's somewhat similar and
  1253. 44:08they can relate, at least to some
  1254. 44:10degree. So, I think even better than a
  1255. 44:12class is just to like
  1256. 44:14be aware when these types of situations
  1257. 44:16happen and
  1258. 44:17check in with yourself and see like what
  1259. 44:19did you do, what maybe
  1260. 44:21should you have not done, or what could
  1261. 44:22you have done better, and, um,
  1262. 44:25yeah, I don't know.
  1263. 44:26But I think it'd be
  1264. 44:27hard to have a class that prepares you.
  1265. 44:30Yeah.
  1266. 44:30Um, but I think it would be good to know
  1267. 44:32that like whistleblower laws exist.
  1268. 44:36Cuz I didn't know that at all.
  1269. 44:38Yeah. Um, yeah. If you go down the right
  1270. 44:41channels, you actually have a lot of
  1271. 44:42protections as a whistleblower.
  1272. 44:45So, it's good to know those channels.
  1273. 44:48Yeah, I I I after this all happened,
  1274. 44:50I've been getting a lot of feedback from
  1275. 44:52people that say the same thing, whether
  1276. 44:53you work for the NHS, or whether you're
  1277. 44:56in academia, or you're working for a
  1278. 44:58biotech company, a lot of people are
  1279. 45:00like, "Hey, I'm seeing kind of shady
  1280. 45:02stuff going on in my workplace, and, you
  1281. 45:06know, I I want to do something about it,
  1282. 45:08but I don't know what to do about it."
  1283. 45:10Um,
  1284. 45:11and, you know,
  1285. 45:13I I feel bad because people feel that it
  1286. 45:16cuz I was in that position, I will know
  1287. 45:17what to do, but I have no idea how you
  1288. 45:19would report, you know, something to the
  1289. 45:21NHS or anything, uh,
  1290. 45:24even in academia, I don't know how to go
  1291. 45:26through that process. I think we're at
  1292. 45:28an interesting time where, you know, I
  1293. 45:30we were talking about this with Theranos
  1294. 45:32in and in my case, like I had a lot of
  1295. 45:36doubts whether, you know, what was going
  1296. 45:39on was again
  1297. 45:42uh, like I had a lot of doubts about my
  1298. 45:43own knowledge about the regulatory
  1299. 45:45landscape. But what I was able to do do
  1300. 45:47was go on the internet, stay up at 3:00
  1301. 45:49in the morning, and like, "No, this is
  1302. 45:51this is not the law. They keep telling
  1303. 45:52me that this is the law, but it's not."
  1304. 45:54Um, so I think for a lot of people
  1305. 45:56knowing that, you know, there's a lot of
  1306. 45:59resources that you can access. If you
  1307. 46:00have a question, you can go on the
  1308. 46:02internet. You can potentially talk to
  1309. 46:04free lawyers. You can go and talk to
  1310. 46:08people about certain concerns that you
  1311. 46:10have, and they'll probably be able to
  1312. 46:11tell you what the next steps are. Um,
  1313. 46:14and if you're
  1314. 46:16I you know, another big thing is if
  1315. 46:17you're getting retaliation from people,
  1316. 46:20uh, you know, learning how to have the
  1317. 46:22mental fortitude to be resilient is
  1318. 46:24really really important. Um,
  1319. 46:28and to kind of,
  1320. 46:30you know, s- stick to integrity, you
  1321. 46:33know, saying to yourself like for me it
  1322. 46:36was like I made the commitment by going
  1323. 46:38into health care to make sure that I
  1324. 46:41protected the patients that I served.
  1325. 46:43And holding on to that simple line and
  1326. 46:45that simple fact really carried forward
  1327. 46:48all of my actions. Like this is this is
  1328. 46:51the commitment that you made by going
  1329. 46:52into this industry that you needed to
  1330. 46:54protect patients. Um, I don't yeah, it's
  1331. 46:57hard to formulate like a class or
  1332. 46:59anything, but depending on what side
  1333. 47:02you're coming from, like know you have
  1334. 47:03access to resources now. We live in a
  1335. 47:05beautiful time where you can type
  1336. 47:07anything in, you know, to a search
  1337. 47:09engine to figure out the right person to
  1338. 47:10talk to or the right resources to go to.
  1339. 47:14Um, if you are getting retaliation from
  1340. 47:16your employees, just like
  1341. 47:18take a moment, breathe,
  1342. 47:20try and stay resilient through the
  1343. 47:21process, and, um,
  1344. 47:24um, I think those are the two two
  1345. 47:27biggest things that I learned.
  1346. 47:29How you can put that in a class, I don't
  1347. 47:31know, but
  1348. 47:32yeah.
  1349. 47:33Honestly, having discussions like this
  1350. 47:36is probably very valuable, too. Because
  1351. 47:38many,
  1352. 47:39you know, especially with technology in
  1353. 47:41general,
  1354. 47:43um, whether it's big data and AI,
  1355. 47:45synthetic biology and genetic
  1356. 47:47engineering, we're going to have a lot
  1357. 47:49of these discussions kind of coming up
  1358. 47:50where we don't know how to handle new
  1359. 47:52technologies anymore. It's something
  1360. 47:54that we haven't experienced, and we
  1361. 47:56don't know the consequences necessarily
  1362. 47:58of what they'll have when they get
  1363. 48:01implemented into societies.
  1364. 48:04So.
  1365. 48:05What advice would you have for students
  1366. 48:07or new graduates when looking at
  1367. 48:08potential job offers, internship of
  1368. 48:11offers to gauge for integrity and
  1369. 48:13ethical environments? Both of you
  1370. 48:15mentioned you had multiple job offers.
  1371. 48:17Do you think there's certain questions
  1372. 48:18you would have asked retrospectively, or
  1373. 48:20any red flags you wish you had noticed
  1374. 48:22perhaps in an interview setting?
  1375. 48:24Uh, in retrospect, I would I would never
  1376. 48:27work for another stealth company again.
  1377. 48:30There's just no way I could
  1378. 48:32There's no way I would step back into a
  1379. 48:34stealth company, you know.
  1380. 48:36I mean, that might be swinging too far,
  1381. 48:37but I'm sure there are plenty of stealth
  1382. 48:38companies that are fine, but like at
  1383. 48:40least just me personally, like I want to
  1384. 48:41be able to go
  1385. 48:43do a job and then be able to tell my
  1386. 48:45friends and family what I'm doing.
  1387. 48:48Yeah. Having to sign an NDA before you
  1388. 48:51go into a job interview is probably
  1389. 48:53like, "Hmm, okay. What This is just a
  1390. 48:56job interview. I haven't started working
  1391. 48:57for you. What's going on here?" Um, I
  1392. 49:00think just like with anything, just ask
  1393. 49:03questions, do your due diligence. Like
  1394. 49:05what I've realized with working is like
  1395. 49:07you're going to spend at least 40 hours
  1396. 49:09a week doing this thing.
  1397. 49:12More likely more cuz you drive and you
  1398. 49:13get there. Like asking people a lot of
  1399. 49:15questions on, you know, what are your
  1400. 49:17values? If people have left the company,
  1401. 49:20talking to previous employees, what was
  1402. 49:22their experience? I think alone at
  1403. 49:24Theranos, if we had just talked to
  1404. 49:25previous employees, that would have like
  1405. 49:28set the record straight. Yeah, it would
  1406. 49:30have really set the record straight
  1407. 49:31quite fast. We would have realized like
  1408. 49:34just the horrible horrible experiences
  1409. 49:36that so many people had that preceded
  1410. 49:39us. Yeah. Actually, a good question
  1411. 49:40would be uh like how many people have
  1412. 49:42quit in the last Yeah.
  1413. 49:444 months.
  1414. 49:49If it's like 20% of your company
  1415. 49:51Yeah.
  1416. 49:52And probably if they say the other issue
  1417. 49:55too with us at like anytime you would
  1418. 49:57ask uh Elizabeth a question, it would
  1419. 50:00always be, "I'm sorry, I can't disclose
  1420. 50:01that. That's confidential information."
  1421. 50:03So, that's probably another thing where
  1422. 50:05you're like, "Hmm, okay." Like is this
  1423. 50:08warranted secrecy or not? Um
  1424. 50:11but
  1425. 50:13it's it's Yeah, just do your due
  1426. 50:15diligence. Ask a lot of questions. Talk
  1427. 50:17to former employees. That would have
  1428. 50:19probably been the most illuminating is
  1429. 50:21just to talk to former employees.
  1430. 50:23On the other turn, as a startup founder,
  1431. 50:25this my next question is sourced from a
  1432. 50:27member of the audience. Um
  1433. 50:29how should young startup for founders
  1434. 50:31work to establish integrity and an
  1435. 50:34ethical environment, especially in
  1436. 50:36fields like healthcare?
  1437. 50:40Um
  1438. 50:41Just be honest.
  1439. 50:42Yeah.
  1440. 50:44I think it just it's going to take a
  1441. 50:45long time. Yeah. Um so, start building a
  1442. 50:48track record as early as you can.
  1443. 50:50I read a a good article actually with
  1444. 50:53the Stanford um business school. They
  1445. 50:56were talking about
  1446. 50:57how in business you tend to create
  1447. 51:01metrics for your shareholders. So,
  1448. 51:04you're constantly focused on things like
  1449. 51:06ROI, and maybe it's much better if we
  1450. 51:09start thinking about who are our actual
  1451. 51:11stakeholders. So, in the case of, you
  1452. 51:13know, uh a healthcare, like what are the
  1453. 51:16things that would make this product or
  1454. 51:18service successful for my patients? And
  1455. 51:20really examining the business in a more
  1456. 51:23holistic way where we're you know, maybe
  1457. 51:26we need to design the way that we
  1458. 51:28examine a company not solely by the
  1459. 51:30revenue it's generating and the profits
  1460. 51:32it's making, but also about what are its
  1461. 51:34consequences for society. What are its
  1462. 51:37consequences for, you know, the
  1463. 51:39hospitals it serve, the patients it
  1464. 51:40serves, the
  1465. 51:42potentially even the insurance providers
  1466. 51:45that it has. Um and
  1467. 51:48to
  1468. 51:50you know, not solely focus on the bottom
  1469. 51:53line.
  1470. 51:56And my final question, um I would like
  1471. 51:58to hear more about where your careers
  1472. 51:59are now and how this whole experience of
  1473. 52:01being a whistleblower has impacted your
  1474. 52:04careers. Has it Do people view it
  1475. 52:06favorably? Are there Is anyone you've
  1476. 52:07interacted with who views your tag as a
  1477. 52:09whistleblower cautiously? I'd love to
  1478. 52:11hear about the reflections on your life
  1479. 52:13after this experience.
  1480. 52:17Uh for me, it's only been positive.
  1481. 52:19Yeah.
  1482. 52:20Um and it's kind of weird cuz in I think
  1483. 52:22in most whistleblower situations, the
  1484. 52:24whistleblower has a really hard time
  1485. 52:25kind of getting their life back on
  1486. 52:26track. But for me, it was like the exact
  1487. 52:29opposite. Like after the Wall Street
  1488. 52:31Journal article
  1489. 52:32um like said who I was, I was getting
  1490. 52:35job offers from venture capital firms
  1491. 52:38from big biotech companies, from small
  1492. 52:40startups, from research institutions.
  1493. 52:43Like really the whole gamut. I was
  1494. 52:44getting emails of people saying, "Hey,
  1495. 52:47love what you did. Come work for us."
  1496. 52:48Yeah. And I think that's actually really
  1497. 52:51rare in these types of situations, and I
  1498. 52:52honestly don't know what's different
  1499. 52:54about my situation than other
  1500. 52:57whistleblowers. Yeah.
  1501. 52:59I had a similar It was overall it was
  1502. 53:01very very positive. I think the thing
  1503. 53:04you never know and Tyler, I think you
  1504. 53:05actually said this to me. You never No
  1505. 53:07one who has a problem with it or who
  1506. 53:10thinks it's a bad thing will tell you.
  1507. 53:12So, you really don't know what the
  1508. 53:14consequences of it are going to be until
  1509. 53:18you're in a room with a VC and then they
  1510. 53:20get confronted by, you know, they would
  1511. 53:22say say, "Oh, you were the whistleblower
  1512. 53:23of Theranos. Okay, get out of my room."
  1513. 53:25potentially. I don't know cuz you really
  1514. 53:27can't predict when that would happen,
  1515. 53:29but I feel like the people that had a
  1516. 53:31problem with it are not going to tell
  1517. 53:33you. The people, of course, who
  1518. 53:35you know, admire what you did, that
  1519. 53:37they'll be very communicative about
  1520. 53:39about that process.
  1521. 53:41Um it's been really interesting now. So,
  1522. 53:44since I left Theranos, I I now work for
  1523. 53:46a tech accelerator in Hong Kong. So, we
  1524. 53:48invest in early stage startup companies.
  1525. 53:50And now going outside of working for a
  1526. 53:54startup, building the product, knowing
  1527. 53:56the grind and the hustle of like, "How
  1528. 53:58do I get this thing to work? How do I
  1529. 54:00get people to actually want what I'm
  1530. 54:02making?" Um and now sitting on how do I
  1531. 54:06evaluate a company and um
  1532. 54:09it it
  1533. 54:10you know, is this a good investment or
  1534. 54:12not? Uh it's
  1535. 54:14made me much more skeptical with those
  1536. 54:17investment decisions. Like it's just the
  1537. 54:19simple thing of just asking people for a
  1538. 54:21product demo. You would think it would
  1539. 54:23be the like first thing you would want
  1540. 54:25to see, but so many investors fail to do
  1541. 54:27that, to actually just sit and dig into
  1542. 54:29the product. Um yeah, this is definitely
  1543. 54:33you know, kind of
  1544. 54:34made me, I think, a much better investor
  1545. 54:37and doing much more
  1546. 54:38uh much
  1547. 54:40better due diligence on the companies
  1548. 54:42now that we support. Um
  1549. 54:44I'm hoping that
  1550. 54:47this won't hurt my career in the future,
  1551. 54:49but honestly, you you don't know kind of
  1552. 54:52when something will come back to bite
  1553. 54:53you until it does. I have one kind of
  1554. 54:56funny anecdote. So, I was asked to uh
  1555. 54:58like call into a a business school class
  1556. 55:00at Yale.
  1557. 55:02Um so, I did that, but the professor
  1558. 55:03didn't announce to the class that I was
  1559. 55:05on the line yet. And he asked, "Does
  1560. 55:07anyone think that Tyler Shultz did the
  1561. 55:08wrong thing?" One person raised their
  1562. 55:10hand, and he called on her, and and she
  1563. 55:13he said,
  1564. 55:14"He's on the phone right now. Do you
  1565. 55:15want to tell him why?"
  1566. 55:18And she went,
  1567. 55:19"No."
  1568. 55:20I'm like, "Come on. Trust me, I can take
  1569. 55:22it."
  1570. 55:24But I think she didn't speak up. Yeah.
  1571. 55:26But there are people out there.
  1572. 55:28Yeah.
  1573. 55:29Um it's been incredibly inspiring to
  1574. 55:31hear from both of you, and I'd like to
  1575. 55:33thank you on behalf of the Stanford
  1576. 55:34community for being so candid and
  1577. 55:36sharing your insights. Um I think
  1578. 55:38students can certainly look up to you as
  1579. 55:39role models on how to stay true to your
  1580. 55:42core values even under intense
  1581. 55:44adversity. Um it's been my deep pleasure
  1582. 55:46to moderate this discussion. For the
  1583. 55:48next segment, I'd like to invite Colin,
  1584. 55:50who will moderate a Q&A uh from the
  1585. 55:52audience now.
  1586. 56:07So, why don't we start with the
  1587. 56:08gentleman with the Yale shirt on right
  1588. 56:10here?
  1589. 56:12Um
  1590. 56:13Is this on? Yeah, cool.
  1591. 56:15Uh well, first um you you guys made
  1592. 56:17enormous sacrifices and and showed
  1593. 56:19incredible bravery. So, thank you for
  1594. 56:21that um first of all.
  1595. 56:23Uh
  1596. 56:24and and secondly, you know, so I read
  1597. 56:26Bad Blood, and one of the things that
  1598. 56:28I've been trying to wrap my head around
  1599. 56:29that I still don't quite understand is
  1600. 56:31just the psychology of it. You know, and
  1601. 56:33I mean, obviously, you you guys aren't
  1602. 56:34psychic uh Elizabeth's and and Sunny's
  1603. 56:37head. But can can you help me understand
  1604. 56:39like what the deal is with Sunny
  1605. 56:40Balwani? Cuz it's like, you know, he
  1606. 56:42sort of lurks he sort of lurks in this
  1607. 56:44Bad Blood story, and it's never really
  1608. 56:46clear, you know, is he like the puppet
  1609. 56:47master behind the scenes or like, you
  1610. 56:49know, Carreyrou came and gave a talk
  1611. 56:50here, and you know, he sort of said he's
  1612. 56:51this, you know, oblivious guy, whatever.
  1613. 56:53Like and I I don't know. That didn't
  1614. 56:55quite make sense to me. I'm just trying
  1615. 56:56to to figure it out and wrap my head
  1616. 56:58around it. It's this weird, dark,
  1617. 57:00fascinating story that doesn't quite
  1618. 57:02make sense. And so, I would love to sort
  1619. 57:04of hear your guys' thoughts on that.
  1620. 57:07Uh so, I would say that Sunny Balwani
  1621. 57:10has the personality of gravel.
  1622. 57:12It's like this
  1623. 57:14grumbly
  1624. 57:16I don't know. Grumbly guy just like very
  1625. 57:18rough around the edges.
  1626. 57:21Um I didn't interact with him all that
  1627. 57:23much.
  1628. 57:24Um but probably the most pleasant
  1629. 57:27conversation I ever had with him was he
  1630. 57:28was telling me about how he knows a lot
  1631. 57:30of cops and they tell him when they're
  1632. 57:31not patrolling 280 so he can go drive
  1633. 57:33his cars really fast.
  1634. 57:36Um but other than like I really didn't
  1635. 57:37interact with him all that much, but he
  1636. 57:39would like walk through the labs at 3:00
  1637. 57:41in the morning and, you know, not really
  1638. 57:44say anything. Just walk through and walk
  1639. 57:46back out.
  1640. 57:47Yeah. Um
  1641. 57:49but he was definitely running the show
  1642. 57:52inside Theranos, for sure.
  1643. 57:55Yeah, it
  1644. 57:57There were so many instances with him.
  1645. 57:59It it was funny. Someone asked me the
  1646. 58:01question, so
  1647. 58:02like, "What did you think about him?"
  1648. 58:04And it was clear I was trying to be very
  1649. 58:07diplomatic about it. He's like, "Was he
  1650. 58:09an [ __ ] or was he not an asshole?" I
  1651. 58:10was like, "Total asshole."
  1652. 58:12It's like hands down.
  1653. 58:13Um
  1654. 58:15but
  1655. 58:17yeah, he definitely was running the show
  1656. 58:18with a lot of the things that were going
  1657. 58:20on. And even we did this internal
  1658. 58:23proficiency testing. So, proficiency
  1659. 58:25testing is where you're essentially
  1660. 58:27trying to check if the results you are
  1661. 58:29given in third-party labs,
  1662. 58:32uh are you getting within the same
  1663. 58:33accuracy range? And we had decided to um
  1664. 58:40essentially test it on our old machines,
  1665. 58:43like the Siemens Advia, all the other
  1666. 58:45machines.
  1667. 58:46Uh and the Theranos proprietary methods
  1668. 58:49cuz what they used to do it on was just
  1669. 58:51the old machines, and we were finding
  1670. 58:53that the results weren't lining up. And
  1671. 58:56he sent back First of all, he wasn't
  1672. 58:58even on this email.
  1673. 58:59So, he just got all of our emails, and
  1674. 59:01we had no idea. He was like monitoring
  1675. 59:03all of us.
  1676. 59:04And piped in about how this was the most
  1677. 59:07terrible thing that we had ever done.
  1678. 59:09Like how dare we use the Theranos
  1679. 59:11proprietary like the Edisons to
  1680. 59:14double-check whether, you know, the
  1681. 59:16results were actually accurate. It was
  1682. 59:19all in broken English. Like you couldn't
  1683. 59:20understand what he was saying. It was
  1684. 59:22just an absolute mess.
  1685. 59:24Um
  1686. 59:25it was like he
  1687. 59:28uh uh
  1688. 59:29just
  1689. 59:30was constantly surveillancing all the
  1690. 59:32employees, was making a lot of calls and
  1691. 59:34decisions without having the expertise
  1692. 59:36within those domains, particularly
  1693. 59:38within healthcare and a clinical
  1694. 59:40laboratory. People had those like dots
  1695. 59:44that they'd put over the cameras on
  1696. 59:45their computers cuz they thought Sunny
  1697. 59:47was watching them. And same with phone
  1698. 59:49calls. Like everyone knew that their
  1699. 59:50phone calls were being tapped and so
  1700. 59:53people would like pass like I remember
  1701. 59:55our lab director was so paranoid about
  1702. 59:57it. He would like pass me notes
  1703. 59:59because he was like convinced that they
  1704. 1:00:01were monitoring all his phone calls.
  1705. 1:00:03And
  1706. 1:00:05and a big reason why I quit I had I had
  1707. 1:00:07a few interactions with Sunny
  1708. 1:00:10throughout the course was because I got
  1709. 1:00:11pulled into his office and basically
  1710. 1:00:13knew I was like this person's a crook.
  1711. 1:00:15Like I don't know what they're doing but
  1712. 1:00:16they're lying. They're there's just
  1713. 1:00:19something wrong here. I don't know
  1714. 1:00:20what's going on but after the
  1715. 1:00:22conversation that I had in his office
  1716. 1:00:24one-on-one
  1717. 1:00:25I quit. I called my dad crying on the
  1718. 1:00:27phone like what what do I do? And I'm
  1719. 1:00:30like I can't work for this company
  1720. 1:00:31anymore. I do not feel good about this.
  1721. 1:00:33Like I'm sorry. I know like I got
  1722. 1:00:35student loans to pay but I'm out of
  1723. 1:00:36here. Like I can't do this.
  1724. 1:00:38Um and
  1725. 1:00:40yeah, he was he was not a good figure in
  1726. 1:00:43the whole story line.
  1727. 1:00:44at all.
  1728. 1:00:46Thanks again for your honesty and for
  1729. 1:00:47your sacrifice. Yeah.
  1730. 1:00:50Uh the gentleman in the balcony.
  1731. 1:00:52Uh first of all, I'd like to thank you
  1732. 1:00:53so much for the wonderful conversation.
  1733. 1:00:56Uh my question revolves around uh your
  1734. 1:00:58guys' experience with regulatory
  1735. 1:01:00agencies and with lawyers. Um I was
  1736. 1:01:03wondering if either of you were heading
  1737. 1:01:05up Medicare or or the FDA or in Erica's
  1738. 1:01:08case the Chinese counterpart of those,
  1739. 1:01:11what would be a regulation you'd want to
  1740. 1:01:13put in place to try to make sure that
  1741. 1:01:15companies like Theranos couldn't rise to
  1742. 1:01:17$10 billion
  1743. 1:01:18before having whistleblowers stop them.
  1744. 1:01:21Wow.
  1745. 1:01:22Ooh, that's tough.
  1746. 1:01:24Um
  1747. 1:01:25I feel like the systems that are in
  1748. 1:01:27place now just need to work better.
  1749. 1:01:29Um like for instance I sent an email
  1750. 1:01:32about the proficiency testing to the
  1751. 1:01:35Center for Medicaid and Medicare
  1752. 1:01:37Services back in 20
  1753. 1:01:40early 2014
  1754. 1:01:42and um they referred me to like like
  1755. 1:01:45basically they referred me to the
  1756. 1:01:46correct department. I I contacted them.
  1757. 1:01:48They said okay, what's the name? They
  1758. 1:01:50said this is cheating. Please let us
  1759. 1:01:51know the name of the company, what tests
  1760. 1:01:53were run, um what dates they were run so
  1761. 1:01:56we can reach out to them and help them
  1762. 1:01:58improve their methods. And I gave them
  1763. 1:02:00all that information and then that email
  1764. 1:02:02just got lost in the shuffle and nothing
  1765. 1:02:05happened.
  1766. 1:02:06Yeah.
  1767. 1:02:06Um
  1768. 1:02:07same thing when CMS came to inspect
  1769. 1:02:09Theranos, they weren't shown the
  1770. 1:02:11Theranos devices.
  1771. 1:02:13They should know that a like a startup
  1772. 1:02:16diagnostic company is going to have some
  1773. 1:02:18not off-the-shelf diagnostic product.
  1774. 1:02:21Um
  1775. 1:02:23but Yeah, it's hard.
  1776. 1:02:26It's hard for regulators too because
  1777. 1:02:28when they're going in they're regulators
  1778. 1:02:30are regulators aren't there to crack
  1779. 1:02:32down on people. That's not really what
  1780. 1:02:34they want to do. They want to like work
  1781. 1:02:35as a system of checks and balances but
  1782. 1:02:37they don't anticipate that a company is
  1783. 1:02:39just going to go to such extreme lengths
  1784. 1:02:41to deceive them.
  1785. 1:02:43Um in terms of new policy that you can
  1786. 1:02:46create
  1787. 1:02:48I I don't even know.
  1788. 1:02:50Like it's it's it's really it's really
  1789. 1:02:52hard to say. I think the policies
  1790. 1:02:54developed tests loophole should be
  1791. 1:02:56closed.
  1792. 1:02:56Oh, yeah. So there's a loophole where so
  1793. 1:02:59people thought that this was regulated
  1794. 1:03:00under the FDA but it's not. It's
  1795. 1:03:02regulated under the Center of Medicaid
  1796. 1:03:05and Medicare Services. And the way that
  1797. 1:03:07LDTs work is that you can actually run
  1798. 1:03:10an LDT for I think 6 months before you
  1799. 1:03:13act have to report it to CLIA.
  1800. 1:03:16Um the thing about Theranos why they
  1801. 1:03:18were a special case is because no one
  1802. 1:03:19anticipated that people would say for
  1803. 1:03:23like HbA1c, right? This this test has
  1804. 1:03:26been around forever. That someone would
  1805. 1:03:29mess it up so bad, right? Because
  1806. 1:03:32I just don't think regulators thought
  1807. 1:03:33that with a test that's existed for like
  1808. 1:03:3650 years now that you would really like
  1809. 1:03:39shake it up so much to to to have that
  1810. 1:03:41much variability and and to have that
  1811. 1:03:43many problems. But it's really it's
  1812. 1:03:45really tough to say what the
  1813. 1:03:47the right policy would be. It's really
  1814. 1:03:49about funding. Like making sure that
  1815. 1:03:50these these organizations have enough
  1816. 1:03:53resources to be able to conduct a proper
  1817. 1:03:56inspection.
  1818. 1:03:59Thank you. The guest with this card.
  1819. 1:04:01Yeah, I'm assuming that you've both read
  1820. 1:04:03Bad Blood and I'm just interested if
  1821. 1:04:05there's anything about the story or the
  1822. 1:04:07book that you were surprised by. And
  1823. 1:04:09then if you can speak more to how you
  1824. 1:04:11think Elizabeth Holmes won all of these
  1825. 1:04:14people over because it is an impressive
  1826. 1:04:16skill to get that many CEOs and
  1827. 1:04:18investors behind you. And there are
  1828. 1:04:20still people who stand behind her. So
  1829. 1:04:22from your perspective
  1830. 1:04:24what it is about her personality and how
  1831. 1:04:27she did that that got so many people
  1832. 1:04:29behind her.
  1833. 1:04:32Mhm.
  1834. 1:04:33Um
  1835. 1:04:35I mean she is she she was extremely
  1836. 1:04:38charismatic. Like I would go into her
  1837. 1:04:41office and she would
  1838. 1:04:43tell me about
  1839. 1:04:44you know, she would tell me about the
  1840. 1:04:46vision of the company and helping third
  1841. 1:04:48world countries and I would I would be
  1842. 1:04:50so motivated to do my job and then I
  1843. 1:04:52would go back and I was working with the
  1844. 1:04:54Theranos device and I go wait, what just
  1845. 1:04:55happened? This is what we were talking
  1846. 1:04:57about that whole time?
  1847. 1:04:59How did she just do that to me? Like I
  1848. 1:05:00was working with this device every day
  1849. 1:05:02but in you know, like a 5-minute
  1850. 1:05:04conversation with her she was able to
  1851. 1:05:06change my mind and for me to feel
  1852. 1:05:08motivated again. Yeah. So I can see how
  1853. 1:05:10if you weren't actually working with the
  1854. 1:05:12device every day how how easy it would
  1855. 1:05:14be for her to convince you that this was
  1856. 1:05:17real and all these things were
  1857. 1:05:18happening. Yeah.
  1858. 1:05:20I
  1859. 1:05:21I think the biggest surprise about Bad
  1860. 1:05:23Blood was like how many people had such
  1861. 1:05:25a like intense crazy experience with
  1862. 1:05:28her. Like there were so many people, so
  1863. 1:05:30many iterations of employees that had
  1864. 1:05:32like worked with her and just been like
  1865. 1:05:34oh my gosh, this is an absolute
  1866. 1:05:36disaster.
  1867. 1:05:37Um and just the whole context of that.
  1868. 1:05:40Like how long that had gone on. Like we
  1869. 1:05:43I had entered the company about 10 years
  1870. 1:05:45after it'd been in existence. That was
  1871. 1:05:47the biggest surprise to me. Like whoa,
  1872. 1:05:49this has been going on for this long.
  1873. 1:05:52And and the fact that like you said she
  1874. 1:05:53had convinced so many people. Part of
  1875. 1:05:55the reason it was able to go on for so
  1876. 1:05:56long is because the turnover of people,
  1877. 1:05:58you know, was was so great where she
  1878. 1:06:00could constantly onboard new people. Um
  1879. 1:06:03but it was a beautiful vision, right? I
  1880. 1:06:05think everyone is dismayed with our
  1881. 1:06:07healthcare system. The fact that it is
  1882. 1:06:09way too expensive. That the fact that
  1883. 1:06:11people can't get a simple blood test
  1884. 1:06:14without breaking the bank is just it's
  1885. 1:06:15just atrocious, right? Like this is it's
  1886. 1:06:17just ridiculous. Um
  1887. 1:06:20so I think
  1888. 1:06:22really that vision is very easy to sell
  1889. 1:06:26and it pulls on the heartstrings of so
  1890. 1:06:28many people. Um you know, people who
  1891. 1:06:31have family members that are sick, who
  1892. 1:06:33have been sick themselves. Uh who've
  1893. 1:06:36financially devastated themselves
  1894. 1:06:38because of the healthcare costs. And
  1895. 1:06:40then also her as a person. It was really
  1896. 1:06:42remarkable, right? We love these kinds
  1897. 1:06:44of stories where you get this person who
  1898. 1:06:46dropped out of Stanford. She had a great
  1899. 1:06:49idea. She worked insanely hard. It like
  1900. 1:06:51really builds up that like American
  1901. 1:06:53meritocracy, you know, like you can just
  1902. 1:06:56like set your mind to any goal and if
  1903. 1:06:59you put in the effort and the energy you
  1904. 1:07:01can make it happen. Um
  1905. 1:07:05yeah. I
  1906. 1:07:07I think uh
  1907. 1:07:09that's probably why she was able to
  1908. 1:07:12bring so many people on board.
  1909. 1:07:17Next question. Okay. Um so you mentioned
  1910. 1:07:19that it was a pretty easy transition to
  1911. 1:07:21like going back to your careers after
  1912. 1:07:23the whole incident was over because like
  1913. 1:07:24you were both whistleblowers, people
  1914. 1:07:26supported you. Um but how do you think
  1915. 1:07:28that the people like the head scientist
  1916. 1:07:29who did know something was wrong for
  1917. 1:07:31years and years and didn't speak out
  1918. 1:07:32about it? Like to your knowledge, how
  1919. 1:07:34were they able to pick up their careers
  1920. 1:07:35again and like have people trust them?
  1921. 1:07:39Um they've been fine. Like Sunny got a
  1922. 1:07:41job and just boggles my mind.
  1923. 1:07:44There's this
  1924. 1:07:45Yeah.
  1925. 1:07:46There's guy who was just, you know,
  1926. 1:07:48basically in on all that. His hands were
  1927. 1:07:49everywhere and he just quit and went and
  1928. 1:07:51got a job at BD. Yeah. I think
  1929. 1:07:54Fun.
  1930. 1:07:55For me it was weird when I immediately
  1931. 1:07:57quit the company it was like a bad
  1932. 1:07:58breakup though because I really I had I
  1933. 1:08:01was so committed to this project. Like
  1934. 1:08:03anyone who knew me working at that job
  1935. 1:08:05like I really wanted it to work and I
  1936. 1:08:07could have seen myself working for that
  1937. 1:08:09company pretty much for the rest of my
  1938. 1:08:10life. Like I really
  1939. 1:08:12uh was onboarded to the mission and when
  1940. 1:08:15I left I became incredibly
  1941. 1:08:17disillusioned. Just like
  1942. 1:08:20yeah, I I completely sort of lost hope
  1943. 1:08:23in in in in faith in these things. But I
  1944. 1:08:27think for most people there's a big
  1945. 1:08:29disassociation between, you know, uh
  1946. 1:08:34what Elizabeth did and and the employees
  1947. 1:08:37within the organization. I think many of
  1948. 1:08:39the employees within the organization,
  1949. 1:08:41they're probably upset just like I was
  1950. 1:08:43where it was like you know, you feel
  1951. 1:08:45very you you feel lied to. You were lied
  1952. 1:08:47to. And and that was it wasn't a good
  1953. 1:08:51experience.
  1954. 1:08:52Um
  1955. 1:08:53but many of them I think can kind of
  1956. 1:08:56learn to grow and and move on from that
  1957. 1:08:58because they're like that's you know,
  1958. 1:09:00she she was kind of a responsible and
  1959. 1:09:02the ringmaster for a lot of of what
  1960. 1:09:05happened.
  1961. 1:09:06But even Elizabeth's brother got a job
  1962. 1:09:08fairly easily.
  1963. 1:09:09Really?
  1964. 1:09:10Yeah. And he knew I mean I'm sure he
  1965. 1:09:12knew what was going on. Yeah.
  1966. 1:09:15So And that's I don't know. People don't
  1967. 1:09:17seem to care.
  1968. 1:09:19And a lot of a lot of these end up that
  1969. 1:09:21way, right? Like even the guy the Wolf
  1970. 1:09:23of Wall Street now is like the
  1971. 1:09:24successful life coach. You're just like
  1972. 1:09:27What in the heck is that? just say?"
  1973. 1:09:30Yeah.
  1974. 1:09:33Uh thank you. Uh my question was on um
  1975. 1:09:36in terms of Elizabeth Holmes' uh
  1976. 1:09:38personality and the way she makes
  1977. 1:09:40statements that she makes, I think we
  1978. 1:09:41see many other like famous figures in um
  1979. 1:09:44Silicon Valley. I mean, Elon Musk and
  1980. 1:09:45many others making these wild
  1981. 1:09:47over-promises. And I'm wondering if you
  1982. 1:09:49see also see those those parallels in
  1983. 1:09:51terms of successful entrepreneurs in
  1984. 1:09:52other fields that who seem to be acting
  1985. 1:09:55just like her, so to speak.
  1986. 1:09:58Mhm.
  1987. 1:10:00I think the difference between Elon Musk
  1988. 1:10:01and Elizabeth Holmes is like Elon Musk
  1989. 1:10:04did deliver on on quite a bit of things,
  1990. 1:10:06you know? Like Yeah.
  1991. 1:10:08You see You can't have go on the road
  1992. 1:10:10anymore without seeing a Tesla kind of
  1993. 1:10:12running about, but um
  1994. 1:10:15uh
  1995. 1:10:16I I think
  1996. 1:10:19it it's interesting how this Silicon
  1997. 1:10:21Valley has been the situate like the
  1998. 1:10:23hero storyline has really prevailed.
  1999. 1:10:25Where
  2000. 1:10:26now instead of, you know, admiring a pop
  2001. 1:10:28star, you now have you can admire
  2002. 1:10:32uh
  2003. 1:10:33uh
  2004. 1:10:34a technology innovator. And we kind of
  2005. 1:10:36hold these people on a certain pedestal
  2006. 1:10:38thinking that they're almost like gods
  2007. 1:10:41when really they're just human like us
  2008. 1:10:43humans like us and they're going to make
  2009. 1:10:44mistakes.
  2010. 1:10:45Um but
  2011. 1:10:47you know, I think
  2012. 1:10:49the striking thing about Elizabeth was
  2013. 1:10:51the fact that it just you know, we held
  2014. 1:10:54her to such esteem, but she wasn't
  2015. 1:10:58producing any results for such a long
  2016. 1:11:00time, right? Like she just did not
  2017. 1:11:01deliver any of the things that she had
  2018. 1:11:04said and she had been dishonest about so
  2019. 1:11:07many things to so many different people.
  2020. 1:11:09Her employees, her investors, and and uh
  2021. 1:11:13her patients.
  2022. 1:11:16How long has started or how long has um
  2023. 1:11:18SpaceX been a company?
  2024. 1:11:21I'm not sure. They Hey, they launched
  2025. 1:11:24and landed
  2026. 1:11:25uh their rocket though. They've They've
  2027. 1:11:27made reusable rockets.
  2028. 1:11:28that's
  2029. 1:11:30That was the goal, right? Wasn't that
  2030. 1:11:31the goal?
  2031. 1:11:32I think so, right?
  2032. 1:11:352002 2002
  2033. 1:11:37So that's like the same time that
  2034. 1:11:38Theranos was founded.
  2035. 1:11:41Yeah. And we couldn't get a machine that
  2036. 1:11:44worked. I know, they couldn't run a
  2037. 1:11:45freaking glucose test.
  2038. 1:11:50The balcony?
  2039. 1:11:51Hi. Um
  2040. 1:11:53I I first of all, I want to commend you
  2041. 1:11:54for your uh honesty and your
  2042. 1:11:57uh courage in doing what you did and
  2043. 1:12:00coming here to talk to us is is a is a
  2044. 1:12:01real treat.
  2045. 1:12:03Uh one of the things I wonder about, I
  2046. 1:12:05don't know how flat the company was in
  2047. 1:12:07terms of management, but
  2048. 1:12:09why do you think I It's easy to
  2049. 1:12:10understand how recent graduates may not
  2050. 1:12:13have had the experience
  2051. 1:12:14to um
  2052. 1:12:16turn on the lights quicker in terms of
  2053. 1:12:18figuring out what was going on,
  2054. 1:12:20but uh
  2055. 1:12:22experienced people should have.
  2056. 1:12:24And uh the question I have is why
  2057. 1:12:27your middle management people weren't
  2058. 1:12:30the ones who actually became the
  2059. 1:12:31whistleblowers.
  2060. 1:12:36I don't know. So many of them had
  2061. 1:12:38families. That's the only thing that
  2062. 1:12:39comes to my mind is just like a lot of
  2063. 1:12:41them had families and
  2064. 1:12:43had the sense of like they they didn't
  2065. 1:12:46want to lose something, you know? They
  2066. 1:12:47were scared Most of them were scared of
  2067. 1:12:49losing their jobs. A lot of them were
  2068. 1:12:50scared of maybe even losing face. Um
  2069. 1:12:54with being with a company that would
  2070. 1:12:56have failed.
  2071. 1:13:00The structure of the management wasn't
  2072. 1:13:02super flat. It was also very fragmented.
  2073. 1:13:06Like your chemistry team didn't
  2074. 1:13:08necessarily talk all the time with your
  2075. 1:13:11immuno assay or your infectious disease
  2076. 1:13:14team.
  2077. 1:13:15Um
  2078. 1:13:16but I think it's just I mean, for us it
  2079. 1:13:18was weird how many people who were
  2080. 1:13:20recent graduates did say something. And
  2081. 1:13:23maybe it was a case cuz we had a lot
  2082. 1:13:25less to lose Yeah. in in in certain
  2083. 1:13:28ways. I think it definitely helps, yeah.
  2084. 1:13:30Having less to lose. But the other thing
  2085. 1:13:31that confuses me is that there were a
  2086. 1:13:33lot of people that I respected who
  2087. 1:13:34stayed at Theranos Yeah. for a long
  2088. 1:13:37time, like past when all these stories
  2089. 1:13:39came out. Yeah. That's confusing to me.
  2090. 1:13:46Um good evening. Thank you. Since we're
  2091. 1:13:48in the biz school, I figured we should
  2092. 1:13:50have at least one sort of finance
  2093. 1:13:51question. And that is uh
  2094. 1:13:54the sort of 9 and 1/2 billion dollar
  2095. 1:13:55valuation was based on some amount of of
  2096. 1:13:59total equity raised, which I I recall
  2097. 1:14:01was in the 8 or 900 million dollar
  2098. 1:14:03range, something like that. So the
  2099. 1:14:05question is is where did all the money
  2100. 1:14:07go, right? So I know they had to cough
  2101. 1:14:10up 40 million back to Walgreens, but
  2102. 1:14:12they took in 140. And I know they paid
  2103. 1:14:15tens of millions or maybe over 100
  2104. 1:14:17million dollars to to Boies and other
  2105. 1:14:19legal firms. Were the salaries
  2106. 1:14:21incredibly high? Did people Were people
  2107. 1:14:23attracted more by stock options? Were
  2108. 1:14:25you know, did did
  2109. 1:14:27Sting and Bono play at company parties?
  2110. 1:14:29Uh
  2111. 1:14:30Where did it go? That's a really good
  2112. 1:14:32question. Definitely the lawyers took a
  2113. 1:14:34lot of it. Yeah. Um I wouldn't be
  2114. 1:14:37surprised if Elizabeth and Sunny took a
  2115. 1:14:39lot of it as well throughout the years.
  2116. 1:14:42Um
  2117. 1:14:44Also
  2118. 1:14:44when they fined her based on the SEC
  2119. 1:14:47violation, they gave her some hand slap
  2120. 1:14:50penalty of what was it? $500,000 or
  2121. 1:14:52something based on what her net worth
  2122. 1:14:54was. So I don't see that she was able to
  2123. 1:14:56liquidate liquidate the assets.
  2124. 1:14:58I don't think she had a very high
  2125. 1:15:00salary. Like someone told me her salary
  2126. 1:15:02was like $250,000 a year. But she took
  2127. 1:15:05out a 25 million dollar loan from the
  2128. 1:15:07company. Yeah. Um
  2129. 1:15:10So she had money in her bank account.
  2130. 1:15:12Got But that still doesn't account for
  2131. 1:15:14where all that money went. The salaries
  2132. 1:15:16weren't insanely high. Yeah. I mean, we
  2133. 1:15:18did have a lot of employees. Biotech in
  2134. 1:15:19general is pretty costly, right? You
  2135. 1:15:21have a bunch of machinery you have to
  2136. 1:15:22buy. Even the like stock items that you
  2137. 1:15:25have, like reagents, when you're
  2138. 1:15:27developing these antibodies, like a
  2139. 1:15:28small little tube of antibody can cost
  2140. 1:15:30you like $6,000.
  2141. 1:15:33Um so the salaries They bought a nice
  2142. 1:15:36pretty little office building.
  2143. 1:15:38the overhead is not cheap. Yeah, that's
  2144. 1:15:40not cheap.
  2145. 1:15:40was a lot.
  2146. 1:15:43Last question, did you ever see her
  2147. 1:15:44blink?
  2148. 1:15:48I don't know.
  2149. 1:15:49I don't Yeah, I don't know.
  2150. 1:15:54Hi. So you talked about how your
  2151. 1:15:56grandfather was on the board of
  2152. 1:15:58Theranos. And I can't imagine if you
  2153. 1:16:01ever went to him and told him, you know,
  2154. 1:16:03like I don't believe what's going on
  2155. 1:16:05here or it's kind of a scam,
  2156. 1:16:08he would have an easy time believing
  2157. 1:16:09you. So I'm wondering, were there people
  2158. 1:16:11around you guys that simply had a tough
  2159. 1:16:14time believing you? And did they ever
  2160. 1:16:16say sorry?
  2161. 1:16:18Um lots of people had a hard time
  2162. 1:16:20believing.
  2163. 1:16:22Um
  2164. 1:16:24Yeah. I mean, we saw it from kind of
  2165. 1:16:26like the back end. Like when the first
  2166. 1:16:28paper came out, it was like when the
  2167. 1:16:31Wall Street Journal first broke the
  2168. 1:16:32story,
  2169. 1:16:33you know, at this point neither of us
  2170. 1:16:35were on the record and we saw it and we
  2171. 1:16:36saw the response of like, "Oh, of
  2172. 1:16:38course, you know, they're trying to
  2173. 1:16:40target her. It's because she's
  2174. 1:16:41successful. They're targeting her
  2175. 1:16:43because she's a woman." Like, you know,
  2176. 1:16:46this is like classic tactics by the
  2177. 1:16:48media to build another sensational story
  2178. 1:16:51so they can make more money. So we
  2179. 1:16:53definitely saw a lot of pushback on what
  2180. 1:16:56was happening. I had even, you know,
  2181. 1:16:58personal friends of mine who are
  2182. 1:17:00entrepreneurs here that said, "Oh, yeah,
  2183. 1:17:02it's because she's a woman. That's why
  2184. 1:17:04that they're attacking her because
  2185. 1:17:05they're trying to, you know, just take
  2186. 1:17:07down various women in tech."
  2187. 1:17:10Um so we we kind of saw like the
  2188. 1:17:12sentiment really shift and slam down.
  2189. 1:17:16Like kudos to John because he really
  2190. 1:17:18stacked up those stories in a really
  2191. 1:17:20intelligent way to make sure like the
  2192. 1:17:22first one I was pretty underwhelmed. I
  2193. 1:17:24was like, "Oh, man. Like this is kind of
  2194. 1:17:26technical. A lot of people aren't going
  2195. 1:17:28to understand what this means."
  2196. 1:17:30Um but then just
  2197. 1:17:32all the lies he was able to unravel um
  2198. 1:17:36and show
  2199. 1:17:37people like the depth of deception that
  2200. 1:17:40was that was occurring. Um but it took a
  2201. 1:17:42long time for like the consensus of
  2202. 1:17:44people to realize like, "Okay, this
  2203. 1:17:46isn't an attack on her. It's really like
  2204. 1:17:50she has just lied this much and there
  2205. 1:17:52are just so many problems that have been
  2206. 1:17:53occurring in this company." It took a
  2207. 1:17:55long while to to change people's
  2208. 1:17:57sentiment in that direction.
  2209. 1:18:01The balcony?
  2210. 1:18:02So I'm actually really interested in the
  2211. 1:18:04psychology of being in an environment
  2212. 1:18:06where you've identified that things
  2213. 1:18:09aren't right. But everyone around you
  2214. 1:18:10seems to accept that it's totally
  2215. 1:18:12normal. And it seems to me that both of
  2216. 1:18:14you were able to be like, "Nope, I'm
  2217. 1:18:16going to trust my gut on this."
  2218. 1:18:18But I'm curious if you have advice for
  2219. 1:18:19people who maybe aren't able to trust
  2220. 1:18:21themselves as well or feel like they're
  2221. 1:18:24the ones taking crazy pills because
  2222. 1:18:25everyone else is just business as usual.
  2223. 1:18:28And like how do you
  2224. 1:18:30how do you basically follow your gut and
  2225. 1:18:31do what's right when it feels like
  2226. 1:18:34you're the one who's wrong?
  2227. 1:18:38I I had the feeling of that I was wrong
  2228. 1:18:41for quite quite some time. Like I really
  2229. 1:18:43left there. I I I didn't know if I was
  2230. 1:18:45wrong. I was like, "No, there's there's
  2231. 1:18:47something wrong going on here,
  2232. 1:18:49but maybe there is something I'm not
  2233. 1:18:51seeing."
  2234. 1:18:52Um because you were just surrounded by
  2235. 1:18:55so many talented people. I just couldn't
  2236. 1:18:58I I really felt that
  2237. 1:19:00uh there was something that I wasn't
  2238. 1:19:03seeing. I think honestly, if I had
  2239. 1:19:06stayed within the company, I would have
  2240. 1:19:09probably more likely not
  2241. 1:19:11done something because I would have been
  2242. 1:19:13so It's It's so hard to say. I have no
  2243. 1:19:15idea. But you're so easily swayed by uh
  2244. 1:19:18again, that culture, like the fear
  2245. 1:19:21that's sort of implemented in there and
  2246. 1:19:22then everyone else kind of being very um
  2247. 1:19:27uh just nonchalant about what was going
  2248. 1:19:30on just kind of going through the
  2249. 1:19:31motions and the grind of the everyday
  2250. 1:19:33even though knowing that there's a lot
  2251. 1:19:35of problems.
  2252. 1:19:36Um but I don't know. I don't know if I
  2253. 1:19:38have a very good answer for
  2254. 1:19:39never thought that I was wrong. Like I
  2255. 1:19:41never had a doubt.
  2256. 1:19:44And the part of it was that that were
  2257. 1:19:46all the senior scientists around me were
  2258. 1:19:48seeing the same things and I would go to
  2259. 1:19:49them and and they would say like yep,
  2260. 1:19:51you're that's what you're seeing.
  2261. 1:19:53Yeah. But it's mostly like it was it's
  2262. 1:19:55kind of weird like the culture is mostly
  2263. 1:19:57brushed off. Tons of people made jokes
  2264. 1:19:58about it.
  2265. 1:20:00Um
  2266. 1:20:01but not that many people really did
  2267. 1:20:02anything about it but
  2268. 1:20:04I really never doubted that I was right.
  2269. 1:20:07Mhm.
  2270. 1:20:08And I don't know how to tell someone
  2271. 1:20:10who's doubting themselves to just Yeah.
  2272. 1:20:13Know you're right.
  2273. 1:20:15I don't know.
  2274. 1:20:18Yeah, I don't know. I don't know how you
  2275. 1:20:19would take that that switch.
  2276. 1:20:21I guess just
  2277. 1:20:23just accumulating enough evidence,
  2278. 1:20:24right? And asking other people like hey,
  2279. 1:20:27is this right? For me it was really
  2280. 1:20:29talking to lawyers and regulators. And
  2281. 1:20:31then it was like oh, okay. Yeah. Um
  2282. 1:20:34uh these these intuitions that you had
  2283. 1:20:37about what was going on
  2284. 1:20:38um can be easily confirmed by by kind of
  2285. 1:20:42experts in that field.
  2286. 1:20:46Gentleman here.
  2287. 1:20:47So part of what I think this makes makes
  2288. 1:20:48the story so fascinating is how badly it
  2289. 1:20:50went wrong. And one of the things that
  2290. 1:20:51makes me curious about is do you think
  2291. 1:20:53Elizabeth went in knowing she was going
  2292. 1:20:55to lie and cheat her way if necessary?
  2293. 1:20:57And if not, kind of where do you think
  2294. 1:20:59it went wrong?
  2295. 1:21:02I don't think she went in this to just
  2296. 1:21:04lie and deceive. I really think that she
  2297. 1:21:06initially went in with good intentions
  2298. 1:21:08and I don't know where it went wrong and
  2299. 1:21:10it's so tragic to me that it went wrong
  2300. 1:21:13and that so much money was wasted and
  2301. 1:21:15that now it's put this like sort of
  2302. 1:21:17scorn around diagnostic projects where
  2303. 1:21:20they're
  2304. 1:21:21not getting funded as easily and a lot
  2305. 1:21:23of people have a lot of skepticism
  2306. 1:21:24around uh like point of care diagnostics
  2307. 1:21:27and everything but I have no idea. I
  2308. 1:21:30think
  2309. 1:21:31it just again she just over promised so
  2310. 1:21:34much and just didn't know how to deliver
  2311. 1:21:36and had so much capital that she was
  2312. 1:21:38able to
  2313. 1:21:39just kind of bide her time
  2314. 1:21:42for a long time but I really don't know.
  2315. 1:21:44I think she just really wanted to be
  2316. 1:21:46Steve Jobs so she created a world where
  2317. 1:21:48she was Steve Jobs.
  2318. 1:21:50Um
  2319. 1:21:51but it does seem kind of short-sighted.
  2320. 1:21:54Um I think she wasn't
  2321. 1:21:57I think she just wasn't able to let go
  2322. 1:21:59to admit, okay, this isn't working. I
  2323. 1:22:02just think she was just not capable of
  2324. 1:22:05of doing that. Yeah.
  2325. 1:22:07And there's that very popular psychology
  2326. 1:22:09that runs through this world that if you
  2327. 1:22:11like just believe something hard enough
  2328. 1:22:13that it'll come into fruition, right?
  2329. 1:22:15We've seen Oprah and all these like
  2330. 1:22:17successful people kind of take this this
  2331. 1:22:19mentality that you know, if I just
  2332. 1:22:21really wish it into being and I just
  2333. 1:22:24like visualize myself being at my end
  2334. 1:22:27goal, somehow that's just it's just
  2335. 1:22:29going to work out. And
  2336. 1:22:32I don't know. I feel like her and maybe
  2337. 1:22:34the people she surrounded herself with
  2338. 1:22:36kind of
  2339. 1:22:38just like fed into that delusion for so
  2340. 1:22:40long that they couldn't break break out
  2341. 1:22:42of it and just face reality of what was
  2342. 1:22:44sitting right there in front of them.
  2343. 1:22:46Yeah. It's kind of funny because
  2344. 1:22:48investors want to invest in someone who
  2345. 1:22:50says failure is not an option.
  2346. 1:22:52But
  2347. 1:22:53it's really I feel like investors should
  2348. 1:22:56tell
  2349. 1:22:57you know, their CEOs failure is an
  2350. 1:22:59option. Yeah.
  2351. 1:23:02Um and and it's okay. I think investors
  2352. 1:23:04have to be okay with failures. I think
  2353. 1:23:06CEOs have to be okay with failures.
  2354. 1:23:08Um and she was definitely of the mindset
  2355. 1:23:12failure is not an option.
  2356. 1:23:16Which is detrimental.
  2357. 1:23:19I think we have time for one more
  2358. 1:23:20question.
  2359. 1:23:22Well, I guess this is I should conclude
  2360. 1:23:23this. Failure of this question should be
  2361. 1:23:25an option. There's a lot of pressure. Um
  2362. 1:23:27but thank you for coming in. I had a
  2363. 1:23:29question about something you said
  2364. 1:23:30earlier about this kind of hero worship
  2365. 1:23:32um which is definitely present in
  2366. 1:23:33Elizabeth Holmes people people hailing
  2367. 1:23:35her as the next Steve Jobs and all of
  2368. 1:23:36that. First of all, hero worshiping
  2369. 1:23:37Steve Jobs and then hero worshiping her
  2370. 1:23:39based on this vision of her as Steve
  2371. 1:23:40Jobs.
  2372. 1:23:42With this and Elon Musk and all these
  2373. 1:23:44other people um in Silicon Valley who we
  2374. 1:23:47look up to and often fall are are fall
  2375. 1:23:50from grace later on like Steve Jobs was
  2376. 1:23:52made out to be a bad manager later on in
  2377. 1:23:54a biography. Elon Musk is kind of gone
  2378. 1:23:56off the rails a little bit. Um
  2379. 1:23:59how closely do you think we should tie
  2380. 1:24:01these people to their company and should
  2381. 1:24:04we predicate our belief on how good they
  2382. 1:24:06are as a person on how successful their
  2383. 1:24:08company is? Because you said earlier
  2384. 1:24:10that Theranos failed but SpaceX and
  2385. 1:24:12Tesla are successful um but there have
  2386. 1:24:14been multiple pieces saying that the
  2387. 1:24:15working conditions there are very bad
  2388. 1:24:17anyway even despite their success. So I
  2389. 1:24:20just wondered if you could talk about
  2390. 1:24:21that a little bit more.
  2391. 1:24:24Yeah.
  2392. 1:24:25Uh it's hard to kind of pull them away
  2393. 1:24:27from their company because
  2394. 1:24:29like people like that just spend all
  2395. 1:24:31their time on their companies so
  2396. 1:24:34I don't know how you separate. Like
  2397. 1:24:35Elizabeth was Theranos. Yeah. Like the
  2398. 1:24:37two cannot be separated.
  2399. 1:24:40Yeah.
  2400. 1:24:40Steve Jobs is Apple or was Apple.
  2401. 1:24:43Um
  2402. 1:24:45But it's not the case majority of
  2403. 1:24:46companies that's not actually the case
  2404. 1:24:48cuz in the US actually what you see is a
  2405. 1:24:50lot of founders actually get replaced
  2406. 1:24:52and will they'll have like an actual
  2407. 1:24:55managing CEO run their company in most
  2408. 1:24:57cases. And it's weird there've just been
  2409. 1:24:59these few people that have ma- managed
  2410. 1:25:01to really link themselves
  2411. 1:25:03to their companies and become the
  2412. 1:25:05identity of that organization. People
  2413. 1:25:07like Elon Musk, um people like Steve
  2414. 1:25:10Jobs. But I I I think it's the minority
  2415. 1:25:13more than it is the majority uh uh of
  2416. 1:25:17people that kind of are these really
  2417. 1:25:20strong idols and leaders of their
  2418. 1:25:22companies. And I don't know, maybe they
  2419. 1:25:24use Twitter more or maybe I don't even
  2420. 1:25:26know why that happens but yeah.
  2421. 1:25:31I'm not too sure. Please join me in
  2422. 1:25:33thanking Tyler, Erica, and Susanna.

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This page contains the full transcript of Spilling the Blood of a Silicon Valley Unicorn | Tyler Shultz and Erika Cheung: 2019 by McCoy Family Center for Ethics in Society, generated from the public captions YouTube serves with the video. The transcript has 15,145 words across 2,422 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

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