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Sitting Down With The Facebook Whistleblower, Frances Haugen — Transcript

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  1. 0:02corporate fraud works best in the
  2. 0:04shadows
  3. 0:06behind corporate walls
  4. 0:09how does the government bring these
  5. 0:11wrongdoers to Justice
  6. 0:13whistleblowers
  7. 0:18these are the stories of those who risk
  8. 0:20their careers to shine a light on
  9. 0:21allegations of fraud
  10. 0:25today on Broad in America
  11. 0:30welcome to today's episode of fraud in
  12. 0:33America today we have a very special
  13. 0:35guest we're meeting with Francis Haugen
  14. 0:38she is an American data scientist an
  15. 0:40algorithmic product manager we'll find
  16. 0:42out what that is and a whistleblower
  17. 0:45she's a graduate of Franklin W Olin
  18. 0:47College of Engineering and the Harvard
  19. 0:49Business School she worked at listen to
  20. 0:51this lineup Google Yelp and Pinterest
  21. 0:53before joining Facebook now known as
  22. 0:56meta in 2019 uh she worked in the Civil
  23. 1:01Integrity Department along with a couple
  24. 1:03other departments and then in 2021 she
  25. 1:06disclosed tens of thousands of pages of
  26. 1:08internal documents to these Securities
  27. 1:10and Exchange Commission and the Wall
  28. 1:12Street Journal revealing Facebook's
  29. 1:14awareness of and complicity and
  30. 1:16radicalization and political violence
  31. 1:18around the world that's the thumbnail
  32. 1:21biography on the back of her soon to be
  33. 1:24New York time best-selling book The
  34. 1:26Power of One how I found the strength to
  35. 1:29tell the truth and why I blew the
  36. 1:32whistle on Facebook we're going to dive
  37. 1:34into her book and her story thank you so
  38. 1:37much Francis having to be here so I'm
  39. 1:40going to start off with a I'm going to
  40. 1:42read it apart from your book that I
  41. 1:44think summarizes your concerns and we'll
  42. 1:47get in maybe translate with some of this
  43. 1:49uh stuff means for people who
  44. 1:52um who don't have a science background
  45. 1:54or think the algorithm algorithmic has
  46. 1:57something to do with Al Gore
  47. 1:59um so previously uh the Facebook news
  48. 2:03feed had been configured to optimize for
  49. 2:06how much time you spent on Facebook now
  50. 2:10after a change in the algorithm it would
  51. 2:13be reconfigured to give the most
  52. 2:14distribution to content that provoked
  53. 2:17the most interactions overnight the
  54. 2:20content creation rates were turned
  55. 2:23around give people more comments and
  56. 2:25thumbs up and they'll give Facebook more
  57. 2:28free content to sell ads against yet
  58. 2:31within six months the Civil Integrity
  59. 2:33team discovered that new content wasn't
  60. 2:36exactly free Facebook just wasn't the
  61. 2:39one paying for it democracy was paying
  62. 2:42the price Society was paying the price
  63. 2:44civil discourse was paying the price and
  64. 2:48some areas of the world people were
  65. 2:49paying the price with their lives
  66. 2:53so what is an algorithm and why is that
  67. 2:57so important when it comes to social
  68. 2:59media sure one
  69. 3:04Facebook yeah you know a lot of us are
  70. 3:06anchored in the expectation of what that
  71. 3:08is from when we first started using it
  72. 3:10back in the 2000s back then we saw
  73. 3:13things in basically the order in which
  74. 3:15our friends produced them right it was
  75. 3:17more like a an email inbox where like
  76. 3:19you're emailing you know the most recent
  77. 3:21emails are the top and it keeps going
  78. 3:22down
  79. 3:23at some point Facebook realized your
  80. 3:25friends and family make a certain amount
  81. 3:26of content on any given day you know the
  82. 3:28reality is unless you have a very very
  83. 3:30active friend Network in terms of
  84. 3:32posting you're gonna have you know
  85. 3:34probably run out of content if you like
  86. 3:35using Facebook and people people were
  87. 3:38okay with that it used to be you knew
  88. 3:40when when it ended once when to stop you
  89. 3:42knew when to log off
  90. 3:44but Facebook realized If instead of
  91. 3:46having your friends basically pick what
  92. 3:47you see if they could pull from pull
  93. 3:50from like a much larger pool of content
  94. 3:52they could just keep you on there for
  95. 3:54longer and longer and so they invented a
  96. 3:56little computer program that said Hey
  97. 3:58how do we pick from this giant pool of
  98. 4:01content so you know when you open your
  99. 4:03phone there's probably a hundred
  100. 4:05thousand or a million pieces of content
  101. 4:07you'll post a video whatever that they
  102. 4:10could show you maybe this is stuff that
  103. 4:12you know your friend didn't create but
  104. 4:13they commented on you know maybe this is
  105. 4:15something from a group you joined or a
  106. 4:17group you were invited to for and for 30
  107. 4:19days Facebook treated that like a join
  108. 4:23um
  109. 4:23all that content they have to decide
  110. 4:25what's the first thing I'm going to show
  111. 4:27you and that process of picking out okay
  112. 4:29I'm going to show you this first I'm
  113. 4:30going to show you the second I'm going
  114. 4:31to show you this third that is an
  115. 4:32algorithm
  116. 4:34got it and this change that happened it
  117. 4:37used to be to encourage you to stay on
  118. 4:39uh so you can see Grandmama's uh
  119. 4:41biscuits you took a picture of is now
  120. 4:43showing you other things that are
  121. 4:45outside your family is that right so so
  122. 4:47the transition like the reason why they
  123. 4:48moved from saying let's just let your
  124. 4:50friends pick what you're going to see
  125. 4:51yeah to let's figure out a way that we
  126. 4:55could grow the pool of what you might
  127. 4:57want to look at that was done so they
  128. 4:59could keep you on there longer okay the
  129. 5:01change that you talk about that you from
  130. 5:03the excerpt for my book
  131. 5:04um talks about you know Facebook has to
  132. 5:07decide every time they change that
  133. 5:09process because that process of picking
  134. 5:11what goes for a second third fourth it's
  135. 5:13actually very very complicated you know
  136. 5:15it's going to be thousands and thousands
  137. 5:16of lines of computer code
  138. 5:18um taking into consideration all kinds
  139. 5:20of different factors
  140. 5:21if we're trying to say this version of
  141. 5:23the algorithm is better than that one we
  142. 5:25need to have something called a goal
  143. 5:26function we need to be able to say Hey
  144. 5:29you know if this out if this version
  145. 5:31keeps you on the platform for longer
  146. 5:33it's better or in the case of the change
  147. 5:35they said hey we need people to interact
  148. 5:38more
  149. 5:39because when you get more interaction
  150. 5:40you make more content
  151. 5:42they switched over and said that's how
  152. 5:44we're going to assess A or B
  153. 5:46got it got it
  154. 5:48so there's been a lot of talk about
  155. 5:50Facebook and other social media
  156. 5:52platforms being a closed company or an
  157. 5:55opaque company I think that's the
  158. 5:56language that you use what do you mean
  159. 5:58by that so for you know basically the
  160. 6:01the history of the Industrial Revolution
  161. 6:02right so for the last
  162. 6:05we have been living in a world where as
  163. 6:07the economy got more complicated as it
  164. 6:09grew it produced products that we could
  165. 6:12inspect ourselves right like if you buy
  166. 6:14a car even if you don't know anything
  167. 6:16about cars today you can buy books you
  168. 6:19can go on the internet people will
  169. 6:21explain to you how do I take apart this
  170. 6:22car how do I fix this car
  171. 6:24um if you look at Facebook there is
  172. 6:27almost nothing you can do to actually
  173. 6:30understand the inner workings of what's
  174. 6:31happening on the platform and I'll give
  175. 6:34you an example of just how the world has
  176. 6:35changed and even the last 20 years so
  177. 6:37we're not even talking about you know a
  178. 6:391950s automobile I
  179. 6:42when we look at something like Google
  180. 6:43because everyone who uses Google gets
  181. 6:46basically the same version there's some
  182. 6:48tweaks for things like if you search for
  183. 6:50a zoo in San Diego and a zoo in Seattle
  184. 6:52they'll show you the Seattle Zoo or the
  185. 6:54San Diego Zoo first but for overall we
  186. 6:57basically see the same things
  187. 6:58and that means I know this is going to
  188. 7:01sound like a rage if you and I sat down
  189. 7:03for three weeks and you let me teach you
  190. 7:05some programming you could meaningfully
  191. 7:07ask questions about what how does Google
  192. 7:10work like what does it show what does it
  193. 7:12not show are there biases that kind of
  194. 7:14thing because we all see the same thing
  195. 7:16if we want to do that same
  196. 7:18accountability 101 for Facebook we would
  197. 7:21have to recruit 20 000 people wow
  198. 7:24convince them to put apps on their
  199. 7:26phones or on their computers to monitor
  200. 7:28like what they were seeing because every
  201. 7:30single one of them sees a different
  202. 7:31thing like it's it's orders of magnitude
  203. 7:33more difficult to do even basic
  204. 7:35accountability that's an opaque system
  205. 7:37so why is that black box concerning when
  206. 7:40it comes to like Facebook sure
  207. 7:43so uh we need to remember
  208. 7:48I'm always grounded in is I try not to
  209. 7:49demonize Facebook I try to say Facebook
  210. 7:51is a company working within a system of
  211. 7:54incentives and the behavior we see is
  212. 7:56consistent with that kind of you know uh
  213. 7:59those constraints
  214. 8:01in the case of Facebook
  215. 8:03um every time they're choosing this
  216. 8:05version of the algorithm this version of
  217. 8:06the algorithm
  218. 8:08we could be assessing is this good or
  219. 8:10bad on a lot of different dimensions we
  220. 8:12could say things like are people going
  221. 8:14to bed when they want to go to bed
  222. 8:16our kids getting shown more or less
  223. 8:19dangerous content uh is it making more
  224. 8:22ad money is it creating more engagement
  225. 8:24there's a lot of different ways we could
  226. 8:26assess them and right now we are left
  227. 8:29with having you just trust them that the
  228. 8:31optimizations they're making are good
  229. 8:33for society it's kind of like if we were
  230. 8:36making that car right imagine a world
  231. 8:39where we couldn't measure air pollution
  232. 8:41outside the factory
  233. 8:42if the company was trying to decide oh
  234. 8:44we have this industrial process here
  235. 8:46this one but this one creates a lot of
  236. 8:48toxic air pollution
  237. 8:50imagine if we couldn't know that
  238. 8:52trade-off had even taken place and
  239. 8:54that's what's happening inside of
  240. 8:55companies like Facebook or any other
  241. 8:57company where the product is on a data
  242. 9:00center it's on a chip
  243. 9:02those companies are opaque to our
  244. 9:04ability to assess them and I guarantee
  245. 9:07you those those little agonizing
  246. 9:08trade-offs are happening every day
  247. 9:11and we have to just trust that you know
  248. 9:13their better angels are saying no we're
  249. 9:15going to turn down that profit we're
  250. 9:16going to turn down those expenses you
  251. 9:18have a line in the book that I love the
  252. 9:20um that we were relying on big Tech to
  253. 9:23grade their own homework yeah right yeah
  254. 9:25that really uh struck with me
  255. 9:28um we're gonna get to some more of your
  256. 9:30concerns and allegations that are laid
  257. 9:32out in your book but I'd love to take
  258. 9:33people back sure
  259. 9:35um I love your backstory
  260. 9:37um you grew up in Iowa I would say Iowa
  261. 9:41City uh attending a public elementary
  262. 9:43school and publicize public high school
  263. 9:45in public high school you are the
  264. 9:46daughter of two professors one Professor
  265. 9:49two professors two professors and the
  266. 9:51great granddaughter of a Dean yeah
  267. 9:53so academics uh was very important to
  268. 9:56you growing up or at least to your
  269. 9:58family I imagine my parents
  270. 10:00never put pressure on us to go
  271. 10:03into a household like um our house had
  272. 10:04at least 5 000 books in it right like
  273. 10:07like every single room except the
  274. 10:08laundry room which was maybe like four
  275. 10:10feet by four feet or six feet by six
  276. 10:12feet had books in it including bathrooms
  277. 10:14right
  278. 10:15um just because my parents didn't like
  279. 10:16where to stash them so it's just a
  280. 10:18different environment and did you grow
  281. 10:20up
  282. 10:21um
  283. 10:21in the sciences and math you know
  284. 10:24thinking about where you ended up I
  285. 10:25would think that you know you had a dry
  286. 10:27erase board at the kitchen table Yeah so
  287. 10:29interesting so
  288. 10:30um I would say like uh early on I was
  289. 10:34exposed a lot to my parents left to
  290. 10:36Garden so I grew a lot of food like I I
  291. 10:38really like I love growing plants and
  292. 10:41it's funny there's like I look back on
  293. 10:43my college Years and there's this like
  294. 10:44singular moment where like I feel like
  295. 10:45the course of my life veered which was I
  296. 10:48was taking biology because we had to use
  297. 10:50requirement and I was talking to my
  298. 10:52professor I was like guys like you know
  299. 10:53I've kind of thought about like what if
  300. 10:54I got like a botany PhD because like my
  301. 10:57mom was a botany minor right
  302. 11:00um and or one of her majors in college
  303. 11:02was about it was botany
  304. 11:04um and my my professor said everything
  305. 11:06interesting and botany got resolved in
  306. 11:08the 70s which is not true right but like
  307. 11:11I'm a naive 19 year old like I don't
  308. 11:13know if that's true or not yeah I
  309. 11:14sometimes wonder like God how different
  310. 11:15would my life have been and be like hey
  311. 11:17I could grow plants every day right and
  312. 11:20like see where they go but um no so I
  313. 11:22that was kind of you know it's I think
  314. 11:24uh gardening and growing plants is a
  315. 11:26great way to expose kids to the idea
  316. 11:28that your actions can have consequences
  317. 11:30so right because like I had a plot of
  318. 11:33ground and if I worked that ground if I
  319. 11:35tilt it before we planted I got a
  320. 11:37different outcome yes than if I had not
  321. 11:39done that right and my brother and I had
  322. 11:41very different attitudes on like how we
  323. 11:43cultivated our own spaces right and uh
  324. 11:46and I I got I really liked um like
  325. 11:49building toys right so like my parents
  326. 11:51had an attitude of they they wouldn't
  327. 11:54buy me toys except for like Christmas or
  328. 11:56birthdays I could save my allowance but
  329. 11:58if I wanted basically anything from the
  330. 12:00hardware store they would give me the
  331. 12:01thing from the hardware store gotcha and
  332. 12:03so we had built stuff out of PVC pipes
  333. 12:05and or they take me to the arts and
  334. 12:07crafts store you know I loved elaborate
  335. 12:09doll houses that kind of
  336. 12:11um and so I came into High School
  337. 12:12thinking I'm I want to go to MIT
  338. 12:15that was kind of my goal and I joined
  339. 12:18debate because I like they always tell
  340. 12:20you like you need to be well-rounded
  341. 12:21like if you're just like a math and
  342. 12:23science person okay it's actually harder
  343. 12:25to get into some of the more prestigious
  344. 12:27things and the thing I found so funny
  345. 12:29was by the time I left High School I
  346. 12:31learned enough more about the world that
  347. 12:33I didn't want to go
  348. 12:34to a place I got my tea okay I really
  349. 12:37wanted to go to like Yale yes and um I
  350. 12:40didn't get any assistance in applying to
  351. 12:41college so like my parents are
  352. 12:43sufficiently hands off that like no one
  353. 12:46sat me down and was like Hey you are
  354. 12:48most likely to get in if you fill out
  355. 12:49the forms this way yes and uh and as a
  356. 12:52result I got into MIT Caltech and Olin
  357. 12:55yes
  358. 12:56um and so now imagine you're this like
  359. 12:5818 year old and you're like I I totally
  360. 13:00get why I was accepted to these schools
  361. 13:02like this was actually what I set out to
  362. 13:03do when I was you know 14. team but I I
  363. 13:06really wanted to be a policy major or
  364. 13:07something
  365. 13:09this is the part I fantastic so you
  366. 13:11decided to go into debate to round out
  367. 13:14your application get into this technical
  368. 13:16school yeah
  369. 13:17but you seem to fall in love with debate
  370. 13:19I mean you taught debate in college too
  371. 13:22right to local high schools so you fell
  372. 13:24in love with them I I um this is again
  373. 13:27one of these things were like if you
  374. 13:28want to get into a good graduate program
  375. 13:30you need community service that kind of
  376. 13:32thing and um I really yeah I really I
  377. 13:34love teaching yeah right I love I love
  378. 13:36helping people wrestle with issues that
  379. 13:38are meaningful to them right right and
  380. 13:41um coaching high school debate is really
  381. 13:42fun because smart high schoolers have a
  382. 13:46lot of um they have a lot of emotions
  383. 13:48right like they can understand enough of
  384. 13:50the world they feel conflicted they
  385. 13:52might feel agonized
  386. 13:54um and like one of the things that you
  387. 13:56know if we can get certain building
  388. 13:58blocks around like reasonable guard
  389. 14:00rails on on social media in place like I
  390. 14:04would love to work with high schoolers
  391. 14:05on like
  392. 14:07you know how do we live with the digital
  393. 14:08world you know like what is a scaled
  394. 14:10intervention with high schoolers and
  395. 14:12Junior High kids for a world where we've
  396. 14:15actually lost a lot of Social Capital
  397. 14:17like a lot of skills about in-person
  398. 14:19connection because these kids have been
  399. 14:21online since they were eight right and
  400. 14:24so that's kind of like one of my dreams
  401. 14:25once we get like the legal the legal
  402. 14:28piece is kind of like squared away love
  403. 14:30it love it yeah
  404. 14:31so um I I love your book for many
  405. 14:34reasons but I'd like that throughout
  406. 14:36your story you say by the way this
  407. 14:38helped me later on when I became a
  408. 14:39whistleblower yeah like you did that
  409. 14:40throughout the book which I love in
  410. 14:42which when I hear whistleblower stories
  411. 14:44I can't help but do that myself I see
  412. 14:46that the seats here what became
  413. 14:51the my husband
  414. 14:53so
  415. 14:56the internet I'm not saying he believes
  416. 14:58them but he loves them as like cultural
  417. 15:01artifacts right because they tell you
  418. 15:03like what are people's fears or the you
  419. 15:04know their how they view the world and
  420. 15:07um uh he like the thing that drove me
  421. 15:10crazy when after my Senate testimony was
  422. 15:12there was a large number of people
  423. 15:13online who said she couldn't be that
  424. 15:15good right
  425. 15:16and and or or she must be a government
  426. 15:19plant because there's no way she could
  427. 15:20be that good right or you know an
  428. 15:22interesting but a sentence together yeah
  429. 15:25and so part of why I include all the
  430. 15:26great stuff is like you know my coach in
  431. 15:28high school he became the head of the
  432. 15:30national debate Association yeah right
  433. 15:32right like he was that good or like I
  434. 15:34was the sea debater right they're like
  435. 15:36the the top drank person in the country
  436. 15:38the second ranked person in the country
  437. 15:39were both on my team yeah and so I never
  438. 15:42thought I was like that good at these
  439. 15:44things because compared to them you know
  440. 15:46right yeah
  441. 15:48so you got into MIT Caltech and Olin
  442. 15:52Olin at that time was not yet accredited
  443. 15:55no it was a first class you were the
  444. 15:57first class 30-something freshmen uh we
  445. 16:00had 75 75 totally there were 30 that
  446. 16:02didn't experimental here before us and
  447. 16:04then all together we made 75 for
  448. 16:06her so to me that says entrepreneur
  449. 16:08we're like I'm gonna take a chance on
  450. 16:10them and they're going to take a chance
  451. 16:12on me why did you pick Olin right it's
  452. 16:14interesting like I think it a lot of
  453. 16:16people
  454. 16:18look have a really high risk tolerance
  455. 16:20yes and like the thing that
  456. 16:22like I I'm always shocked when people
  457. 16:24say that because like I'm someone who
  458. 16:26builds like little risk waterfalls where
  459. 16:28it's like you know what does it mean to
  460. 16:30actually make this choice and for me
  461. 16:32um I skipped a grade in junior high
  462. 16:34right so I knew I was already Young
  463. 16:36and I was like you know I got into these
  464. 16:39other places once I'm not going to be
  465. 16:41less interesting if I go do this for a
  466. 16:44year
  467. 16:45like why not go take this experiment
  468. 16:47right right and so
  469. 16:49um uh I've eaten is like not very risky
  470. 16:51because I was like if it's interesting
  471. 16:52it's gonna be really cool and if it's
  472. 16:54like a dud whatever it's like my Gap
  473. 16:56Year yes fascinating so Olin College of
  474. 16:59Engineering in Massachusetts uh very
  475. 17:02well respected engineering school today
  476. 17:04today maybe not impacted
  477. 17:07um tell me about your experience there
  478. 17:13Olin is uh with sometimes known as like
  479. 17:15a lab school so it exists to develop new
  480. 17:19ways to teach engineering and they
  481. 17:21actively coach other engineering
  482. 17:22programs on like here's other ways you
  483. 17:24can get higher performance more
  484. 17:26participation out of your students
  485. 17:28because for context back in the early
  486. 17:3290s the Natural Science Foundation came
  487. 17:34out and said hey like we have a method
  488. 17:38for teaching engineering that was
  489. 17:40established in like the 40s and 50s
  490. 17:42right right it was like we're gonna have
  491. 17:44this giant military-industrial complex
  492. 17:46and Engineers need to slot into their
  493. 17:48desk in a 5 000 person military military
  494. 17:51industrial complex contractor and like
  495. 17:54make their widget really well yeah right
  496. 17:57we're about to move into a world with
  497. 17:58cold Wars over like we're gonna need
  498. 18:00Engineers to go into the world and like
  499. 18:03listen to people and understand their
  500. 18:04problems and then go solve those
  501. 18:06problems with engineering and then
  502. 18:08actually bring things to Market like
  503. 18:10that's a very different set of skills
  504. 18:12then you're going to sit at your desk
  505. 18:14you're gonna be happy with it yeah and
  506. 18:15you're gonna like contribute to them
  507. 18:17soon
  508. 18:18and uh 2000 rolled around so nine years
  509. 18:21eight years later
  510. 18:22and nothing had changed right because
  511. 18:24there's institutional inertia right like
  512. 18:26coming in and saying hey we have to
  513. 18:27rethink how we do this is a really hard
  514. 18:29question and
  515. 18:31um the Olin Foundation which at that
  516. 18:34point had given I think on the order of
  517. 18:35like 70 or 80 buildings uh like large
  518. 18:38engineering buildings and science
  519. 18:40buildings to universities around the
  520. 18:41country
  521. 18:43um noticed that even though they framed
  522. 18:46these gifts as transformational uh they
  523. 18:49were starting to give second second
  524. 18:50buildings to college campuses so this
  525. 18:53was meant to be transformational like
  526. 18:55why am I giving you another building
  527. 18:56right
  528. 18:57um and so they decided instead of
  529. 18:59continuing to do this they were going to
  530. 19:00make a terminal gift and found a college
  531. 19:05College of Engineering ended up being
  532. 19:08that terminal gift
  533. 19:10um so they came in and said let's
  534. 19:12actually try to change how engineering's
  535. 19:14taught and so Olin put a much larger
  536. 19:17emphasis on the humanities it put a much
  537. 19:19larger emphasis on design like all the
  538. 19:22skills around if you know if I was going
  539. 19:25to sit down with you and talk to you
  540. 19:26about your problems you know how would I
  541. 19:28elicit for me like actually being able
  542. 19:30to like um
  543. 19:32communication isn't just about being
  544. 19:33able to hear it's about can I make you
  545. 19:35feel safe enough you can talk yes and
  546. 19:37and can we can we see each other eye to
  547. 19:39eye kind of thing
  548. 19:40um you know how do you teach people
  549. 19:42those skills and um I'm I'm extremely
  550. 19:45grateful I got that experience because
  551. 19:46it meant that uh I came into the world
  552. 19:49with for example a lot more history
  553. 19:51classes like I I might effectively
  554. 19:53minored in Cold War studies because I
  555. 19:55really like history
  556. 19:57um I like the intersection of like
  557. 19:58history and technology in that space
  558. 20:00um I you know I I took a bunch of design
  559. 20:02classes so I was good at uh seeing like
  560. 20:05understand people's problems and like
  561. 20:07how do people interact with the world
  562. 20:08which is why I got the job at Google
  563. 20:10right so you mentioned your favorite
  564. 20:13class in college yeah was it Wellesley a
  565. 20:15seminar class can you talk about that
  566. 20:17yes
  567. 20:18um the biogeography yes yes so uh uh so
  568. 20:21what is it my favorites but definitely
  569. 20:23been the most useful
  570. 20:25um uh so uh Olin and Wellesley are five
  571. 20:28minutes apart by car and uh they're very
  572. 20:31close collaborators and if I ever get an
  573. 20:33SEC award I'm going to give like a large
  574. 20:35fraction of it to Wellesley because I
  575. 20:37think I think they're just amazing and
  576. 20:39uh
  577. 20:40the uh I took this class on biogeography
  578. 20:44which is the the distribution of living
  579. 20:46things around the world
  580. 20:48um and for context uh biogeography uh
  581. 20:52deals a lot with something called
  582. 20:53speciation which is you had this animal
  583. 20:56here on the mainland
  584. 20:57there's a scattering across this series
  585. 21:00of islands where it gets slightly
  586. 21:01different over time like how does that
  587. 21:03happen like how do you go from species a
  588. 21:05to species B
  589. 21:07um and what's interesting about that is
  590. 21:08you have to I understand kind of like
  591. 21:12what are the forces that are pulling
  592. 21:13these populations apart
  593. 21:15and why this was so important to my
  594. 21:17career later on was we think of AI as
  595. 21:20very clean you know like before I gave
  596. 21:22the analogy of like is version a of your
  597. 21:25algorithm better or is version B better
  598. 21:28the reality is when we talk about
  599. 21:30industrial artificial intelligence which
  600. 21:33these systems are a form of
  601. 21:35there's not one stakeholder there's not
  602. 21:38one way of assessing is this good or bad
  603. 21:40there's 20 or 30 stakeholders right is
  604. 21:44it good for kids is it good for people
  605. 21:46who don't speak English is it good for
  606. 21:49older people is it good for new users
  607. 21:51power users there's a lot of different
  608. 21:53ways to cut that that problem and
  609. 21:56biogeography taught me how to think
  610. 21:58about populations instead of being like
  611. 22:00here is a population is it good or is it
  612. 22:02bad to be like no every population is
  613. 22:05heterogeneous it has lots of different
  614. 22:08things and when you put a differential
  615. 22:10force on that when you put something
  616. 22:12that's going to be exerting
  617. 22:14um you know pressure
  618. 22:16some of those groups are going to move
  619. 22:18more than others and that way of
  620. 22:20thinking is is not obvious but it ended
  621. 22:24up being super impactful in my time at
  622. 22:26Pinterest which is the first time I
  623. 22:27really started dealing with we have to
  624. 22:30think about success in these numerical
  625. 22:32ways it was extremely useful at my time
  626. 22:34at Facebook
  627. 22:36so you graduate as a history loving
  628. 22:38engineer
  629. 22:39and you find yourself going to the West
  630. 22:42Coast to work for Google how did that
  631. 22:44happen uh they're the only ones who gave
  632. 22:46me a job wow it was really simple I
  633. 22:50[Music]
  634. 22:53I graduated from college like I thought
  635. 22:54I would go try to do a startup
  636. 22:57um I I a lot of my friends I think were
  637. 22:59smarter and they went straight to get
  638. 23:01phds they're like we're not accredited
  639. 23:03I'm gonna weigh this out for a couple
  640. 23:05years oh yeah when you graduated yeah
  641. 23:06your school wasn't yet or credits okay
  642. 23:08so we were um for to give you context uh
  643. 23:12there's another small engineering
  644. 23:13College called Harvey Mudd which is on
  645. 23:15the west coast uh when they went through
  646. 23:18their accreditation process they
  647. 23:20actually accepted
  648. 23:21it's either two or four transfer
  649. 23:23students
  650. 23:25as Juniors when their main kids were
  651. 23:27freshmen okay because that allowed them
  652. 23:30to educate a few students so they could
  653. 23:33get accreditation yes in the case of
  654. 23:36Olin we all came in as one batch and so
  655. 23:39when we hit that wall
  656. 23:41which is graduation
  657. 23:42there was a six month lag before we got
  658. 23:45a credit
  659. 23:45right so I graduated with an
  660. 23:47unaccredited engineering degree and one
  661. 23:49of the things I talk about in the book
  662. 23:50is that I you know
  663. 23:53baby Engineers like when you go first
  664. 23:55you know crack out of the egg of an
  665. 23:56undergraduate education you're not super
  666. 23:59useful right you're you're very raw
  667. 24:01you're informed you can be very bright
  668. 24:03and will have potential but like you you
  669. 24:05really need to be embedded in a
  670. 24:07community like a company that can help
  671. 24:10you actually then you know get to the
  672. 24:12boots on the ground face right
  673. 24:14and the companies that generally do that
  674. 24:17kind of formation are in as a general
  675. 24:19role in terms of the largest share of
  676. 24:21that work are big companies
  677. 24:23and those big companies because they
  678. 24:25know they're channeling a bunch of young
  679. 24:27Engineers through a filtering process
  680. 24:29they often have long timelines you know
  681. 24:31it's like you apply in the fall to start
  682. 24:33a full year later
  683. 24:35they have strict criteria because they
  684. 24:37want to be fair an unaccredited
  685. 24:39engineering degree is going to
  686. 24:40immediately knock you out of that
  687. 24:42pipeline
  688. 24:43um and I hadn't really thought about all
  689. 24:45those constraints when I was either in
  690. 24:47school or uh you know applying to
  691. 24:49bowling and so what was interesting was
  692. 24:52Google didn't really care right like
  693. 24:54Google had you know they they had enough
  694. 24:57money that they could be like whatever
  695. 24:58we'll do a bespoke process for everyone
  696. 25:00some other best Engineers for high
  697. 25:03school dropouts right why would they
  698. 25:05care for my engineering degree was
  699. 25:06accredited
  700. 25:07um and I I got the initial interview
  701. 25:10because one of my professors had worked
  702. 25:12with an early engineer at Google okay
  703. 25:15and then when I got on on the ground at
  704. 25:19for my in-person interviews I was like I
  705. 25:21have to get this job I have to get this
  706. 25:24job there have been no other like you
  707. 25:26know tentacles out for like interesting
  708. 25:27jobs that have made any real movement
  709. 25:30um and so I I made a portfolio of
  710. 25:33product ideas like I I sat there and I'd
  711. 25:35run the yearbook in college and these
  712. 25:38skills that we don't realize are going
  713. 25:39to be useful in the future so I laid out
  714. 25:41like 10 really lovely designed product
  715. 25:43ideas for Google and explain like why
  716. 25:45this would be good for the business
  717. 25:46model and I made a bunch of copies so
  718. 25:48each interviewer could have their own
  719. 25:50you know glossy folder kind of thing and
  720. 25:54uh in the the you know eight years I was
  721. 25:58at Google so I would go for most of my
  722. 26:00career I before I got sick and the uh
  723. 26:05it's it's really fascinating so I
  724. 26:07interviewed probably 150 people for that
  725. 26:09job so associate product manager or
  726. 26:12product manager like one so Junior
  727. 26:14product managers
  728. 26:15um in the entire time how many people
  729. 26:18even brought their resume to the
  730. 26:20interview
  731. 26:21how many give me a guess I would guess
  732. 26:23half at least five wow maybe five right
  733. 26:26no one brought anything because like
  734. 26:28probably the recruiter was like you
  735. 26:29don't even bring anything right we have
  736. 26:30look we have a PDF
  737. 26:32um uh so imagine I show up and I'm like
  738. 26:34here yeah I really want this job yes uh
  739. 26:37and I ended up being the the first woman
  740. 26:39hired into that program in 14 months wow
  741. 26:43so 30 men got hired and then me
  742. 26:46and and I'm an anomaly because I have an
  743. 26:49analog not a digital analog electrical
  744. 26:52engineering degree
  745. 26:53and 80 of everyone else has a CS degree
  746. 26:56right
  747. 26:57so you talk about it we'll talk about
  748. 26:59harvests go up here in a second but you
  749. 27:01talk about Blue Ocean strategy which by
  750. 27:03the way is my favorite book yeah one of
  751. 27:05my favorite books this idea of don't do
  752. 27:07what everyone else does find your spot
  753. 27:09plant your flag and and go out in that
  754. 27:11direction how much is that color what
  755. 27:13you do it seems like you you do that in
  756. 27:15every stop I would say like
  757. 27:18um
  758. 27:19I think because I have always like I've
  759. 27:21never so I I very deeply have actually
  760. 27:25back up one so there's a lot of things
  761. 27:27about like how I grew up or or who I am
  762. 27:29that I didn't really understand until I
  763. 27:31studied abroad in Sweden so I started
  764. 27:33around Sweden in cop in college and in
  765. 27:36in you know just like we in the United
  766. 27:38States have American history or like
  767. 27:40American sociology like classes you can
  768. 27:42take in college
  769. 27:44they have Nordic studies right they're
  770. 27:46like hey like you know this place in the
  771. 27:48world has existed for 10 000 years we
  772. 27:50have a culture there's things
  773. 27:52um and there were all those kind of
  774. 27:53programming that I had grown up with in
  775. 27:55the midwest but or with my parents
  776. 27:57because I come from a family that is
  777. 27:58Norwegian on my dad's side
  778. 28:00um that I had never had articulated and
  779. 28:02and very strongly I have certain things
  780. 28:04like you are you are no better than
  781. 28:06anyone else like you don't want to stand
  782. 28:08out like you want to blend into the
  783. 28:10crowd yeah and I had never had like
  784. 28:13those messages articulated to me until I
  785. 28:16started abroad in Sweden and my peers
  786. 28:18would like explain Nordic cultures you
  787. 28:20may be like oh we have this problem in
  788. 28:22the Midwest right yes because like for
  789. 28:25example like I'd go to class and my
  790. 28:27professor would be like I really like
  791. 28:28that you're in class Francis because you
  792. 28:30raise your hand
  793. 28:31I know what do you mean he goes if
  794. 28:33you'll notice no one else raises their
  795. 28:34hand until you raise their your hand
  796. 28:37um because it's considered arrogant that
  797. 28:39you would presume that you had an answer
  798. 28:41that other people did interesting right
  799. 28:43so so imagine uh you have that that's
  800. 28:46the program that runs in the back of
  801. 28:47your head like I feel very earnestly
  802. 28:49about this
  803. 28:51um I
  804. 28:52it means that you have the freedom to
  805. 28:54also just go do things that make you
  806. 28:55happy right like if you don't think
  807. 28:57there's something special about you it's
  808. 28:59like why wouldn't you go just do the
  809. 29:01thing that makes you happy and and and
  810. 29:03that's just like what I've always done
  811. 29:05is you know I've I in high school I
  812. 29:08found myself in all these Pockets where
  813. 29:10like I was the only girl you know I
  814. 29:11would do robotics or something or I did
  815. 29:14math very very well so math competitions
  816. 29:16and
  817. 29:17um you know it it makes you have to
  818. 29:19become comfortable with the idea that
  819. 29:21you're just different
  820. 29:22right right it doesn't mean you're
  821. 29:24you're special like I said the Nordic
  822. 29:26programming it's right in the back but
  823. 29:27it's like you know you might as well
  824. 29:28just go do what you want to do because
  825. 29:31you know somebody's different about you
  826. 29:32and just go go wander as a field love it
  827. 29:34yeah
  828. 29:36um so speaking of trying to do something
  829. 29:37different Harvard Business School
  830. 29:40um I'm a little confused about the
  831. 29:41timeline there oh sure did you apply
  832. 29:43before you went to Google okay okay yeah
  833. 29:45why you decided to go apply to Harvard
  834. 29:48Business School and buy how did all that
  835. 29:51work out so when I was in college
  836. 29:53um the
  837. 29:55they so HBS saw a trend
  838. 29:58which was the average number of years of
  839. 30:01work experience people had was going up
  840. 30:02and up each year yeah because people
  841. 30:05were looking at the admissions criteria
  842. 30:07they're saying like the average class I
  843. 30:09would say like you know the average
  844. 30:10student at HBS has three years of
  845. 30:12college oh I need three years of college
  846. 30:13right now College work experience yes
  847. 30:15now it's three and a half now it's four
  848. 30:17now it's four and a half true and uh
  849. 30:19when I was in college it had gone up to
  850. 30:21four and a half and it was creeping into
  851. 30:23a window where um if it got any loose
  852. 30:25basically a large fraction of all the
  853. 30:27women in the program because it was
  854. 30:29going to start to conflict with like
  855. 30:30when people generally start having kids
  856. 30:32and so uh they were like if we want to
  857. 30:35have a diverse class and we want to like
  858. 30:37not have us go until people have 15
  859. 30:39years of work experience right because
  860. 30:41that's that's what's going to happen for
  861. 30:42sure
  862. 30:43um I we need to start intentionally
  863. 30:46figuring out how we bring in people
  864. 30:47earlier
  865. 30:48and so what they did and they were kind
  866. 30:51of feeling like they were losing really
  867. 30:52high quality candidates to law school
  868. 30:54because law school could tell you you're
  869. 30:56really bright you can do anything
  870. 30:58you can go to law school right now and
  871. 31:00it used to be you could go to business
  872. 31:01school straight out College like that
  873. 31:03was a common thing and so they said
  874. 31:05we're going to start this program where
  875. 31:07we want you to apply your senior year
  876. 31:10and we'll tell you at your senior
  877. 31:11whether or not you have a guaranteed
  878. 31:13seat interesting only back then they
  879. 31:16hadn't formalized into a program now so
  880. 31:18now it's called two plus two so it's
  881. 31:20like go do two years where experience
  882. 31:21two years of HBS we'll do a bunch of fun
  883. 31:24enrichment in those two years before you
  884. 31:25go Network you will be fun
  885. 31:28um I was before that I was like part of
  886. 31:29the experimental cohort and um and so
  887. 31:32they kind of told us in this open house
  888. 31:34you just go straight from college
  889. 31:36and then I get this deferral letter so I
  890. 31:39I don't get I don't get straight in I
  891. 31:42get told go get a job and I was like any
  892. 31:44job I need to feel the time yeah go go
  893. 31:46work and I was like uh and so when I
  894. 31:50wrote to HPS because I I think they
  895. 31:52assumed if you're good enough to have
  896. 31:54made it through our Hoops of course you
  897. 31:56have a job
  898. 31:57right there's no way you wouldn't have a
  899. 31:58job
  900. 31:59and I because I was this little anomaly
  901. 32:01in terms of like I have an unaccredited
  902. 32:03engineering degree
  903. 32:04I like kind of broke their their little
  904. 32:06mold so that's why getting that job at
  905. 32:09Google was so adorable yeah got it well
  906. 32:11it's also like uh the process of trying
  907. 32:13to get a job made me realize it was
  908. 32:15going to be hard to get a job got it
  909. 32:16right because I applied to something
  910. 32:18like 55 jobs and I got
  911. 32:22maybe four phone screens and three
  912. 32:24in-person interviews no two in-person
  913. 32:26interviews and do you think that's
  914. 32:27because of the unaccredited College I
  915. 32:29think I couldn't get over the first time
  916. 32:30got it yeah okay so at Google I know you
  917. 32:33worked on a bunch of different things
  918. 32:34um and I didn't know how to apply for
  919. 32:36jobs rather so today if I
  920. 32:42we're gonna find people who work at that
  921. 32:43company we're gonna send a whole bunch
  922. 32:44of emails be like I'm really interested
  923. 32:46in your company can we do a phone call
  924. 32:47uh I if someone those phone calls went
  925. 32:50well I'd be like could you recommend me
  926. 32:51you know like I would have known this is
  927. 32:54the dance you do yes and I didn't know
  928. 32:55that my parents are academics right they
  929. 32:57you get a PhD and then you do a
  930. 32:59fellowship and you know this is a master
  931. 33:01class for people graduating from college
  932. 33:04who don't quite understand
  933. 33:06how to get that next step yeah right
  934. 33:08you're doing something different
  935. 33:11thinking through the job that you're
  936. 33:13applying for the company what their
  937. 33:15needs are showing up to the interview
  938. 33:16with pre-thought
  939. 33:19yeah
  940. 33:20um I hope everyone's listening to that
  941. 33:22so Google books yeah became part of your
  942. 33:25focuses
  943. 33:26um so you grew up in a house with 5 000
  944. 33:28books makes sense that you would
  945. 33:29gravitate in that area so what were you
  946. 33:31working on with Google Books oh sure
  947. 33:34um it's also like I spent a huge amount
  948. 33:36of my high school years in large
  949. 33:39academic libraries right it's a the
  950. 33:41University of Iowa is an incredibly
  951. 33:43generous institution in that you can
  952. 33:45walk in as a community member and say
  953. 33:46like a library card and get one and the
  954. 33:49nearest kind of public space to where I
  955. 33:52lived was either the hospital or the law
  956. 33:55library right like that and so sitting
  957. 33:58in a hospital Corridor is not like a
  958. 34:00great place to do your homework sitting
  959. 34:01in a totally empty Law Library great
  960. 34:03place to do your homework so I I had
  961. 34:05like this emotional attachment to
  962. 34:08um libraries and my my great
  963. 34:11grandfather's portrait hangs in the Iowa
  964. 34:12law library so like there was a table
  965. 34:14where I could send do my homework and
  966. 34:15like he was there right and
  967. 34:18um the uh I so I I I finished my first
  968. 34:24year at Google so they assign you to a
  969. 34:26job first year on this program
  970. 34:28rotational Management program and I
  971. 34:30worked on ads which was a really
  972. 34:31educational experience
  973. 34:33um I and then you do your first rotation
  974. 34:36and um Marissa Meyer who is then my
  975. 34:39boss's boss or no I said I was in the
  976. 34:41ads change but she was she ran the
  977. 34:42program okay later CEO Yahoo yes okay
  978. 34:45yeah
  979. 34:47um she suggested I go talk to Google
  980. 34:49books like it hadn't even really been on
  981. 34:50my reader and as soon as she suggested I
  982. 34:52was like oh that's fascinating yeah
  983. 34:54um because I I have this like little
  984. 34:56secret dream uh which is not that secret
  985. 34:59because it's in the book um which is uh
  986. 35:01because I was a cold war studies minor I
  987. 35:04knew that in the early 90s this is like
  988. 35:08right after the wall Falls
  989. 35:10academics went into Russia and started
  990. 35:12scanning the Soviet archives
  991. 35:14because it was like this moment of like
  992. 35:16openness
  993. 35:17and this moment of openness lasted for
  994. 35:20like four years five years and then I
  995. 35:23Russia started to get embarrassed by
  996. 35:25some of the stuff was getting published
  997. 35:26and they closed things back down and so
  998. 35:29the only record of this period of time
  999. 35:32like this incredibly important like why
  1000. 35:34did the world shift in these ways is now
  1001. 35:36found in microface in the United States
  1002. 35:38or like digitized microfiche in the
  1003. 35:40United States
  1004. 35:41um and and I have this dream that one
  1005. 35:43day we you know all of these things are
  1006. 35:45cyclical like part of why I can work on
  1007. 35:48things like social media reform is I
  1008. 35:50don't think I'm months or years I think
  1009. 35:52on decades and like one day Russia will
  1010. 35:56open up again like it might take 50
  1011. 35:58years but there'll be another moment and
  1012. 36:00I told my manager when I did my first
  1013. 36:02interview for Google books I was like
  1014. 36:03one day
  1015. 36:05we can go scan the rest of the archive
  1016. 36:07right like that's why I want to work on
  1017. 36:09Google Books and I think he didn't
  1018. 36:11expect to hear that and so I got the job
  1019. 36:14um but I the thing I worked on Google
  1020. 36:15Books I worked on a bunch of different
  1021. 36:16things um so I launched their first API
  1022. 36:19yeah yeah which is the ability to have
  1023. 36:22um outside applications from Google
  1024. 36:23they'll use Google data
  1025. 36:26um I launched the first mobile book
  1026. 36:28reader so like we the New York Times
  1027. 36:31like we beat uh the Kindle to the iPhone
  1028. 36:35okay much things like that
  1029. 36:37um but the main thing I worked on was
  1030. 36:39something called uh search quality so we
  1031. 36:43take for granted that you know we talk
  1032. 36:44about algorithms before about you know
  1033. 36:46what's the first post the second post
  1034. 36:47the third post when it comes to search
  1035. 36:49results it's very similar so we look
  1036. 36:52across all the possible things we could
  1037. 36:53show you and we say this is going to be
  1038. 36:55the first this is gonna be the second
  1039. 36:56it's gonna be the third thing we're
  1040. 36:57going to show you and and that process
  1041. 37:01was only just starting like that field
  1042. 37:04right
  1043. 37:05was very young right so uh even at
  1044. 37:08Google so this is 2007. they had only
  1045. 37:11really Gotten Good at formalizing it in
  1046. 37:14less than the last 10 years right this
  1047. 37:16is Google's form in 96 Ahmed Sim call
  1048. 37:19Amit singhal came in from Amazon and
  1049. 37:23like basically helped them rewrite
  1050. 37:24search maybe in 2000 2001. wow or like
  1051. 37:28even even Google which we think of like
  1052. 37:30oh Google knows how to do everything
  1053. 37:31right even Google struggled to be like
  1054. 37:33how do you
  1055. 37:35consistently over time make search
  1056. 37:37results better like it's not obvious
  1057. 37:39yeah
  1058. 37:41um and uh so that that art
  1059. 37:45you know there are very few places in
  1060. 37:47the world that you could you could learn
  1061. 37:48it and my engineering director could not
  1062. 37:51get a product manager from the proper
  1063. 37:53search quality team to work on Books
  1064. 37:55Okay because the search team was like
  1065. 37:57books only of old data like why would we
  1066. 37:59care old information
  1067. 38:02um uh and so he's like Francis you're
  1068. 38:03smart I'm going to teach you how to do
  1069. 38:05this
  1070. 38:07um and the other part that I I'm so
  1071. 38:09grateful for was he this was early
  1072. 38:12enough in the the the the time of like
  1073. 38:15we should use data to make decisions
  1074. 38:17right it sounds like Bonkers in 2023
  1075. 38:21sure but this is 2007. you know the
  1076. 38:23first people in the world with the title
  1077. 38:24data scientists are getting that title
  1078. 38:26that right for a different time
  1079. 38:29um you know he's he's invested in
  1080. 38:31building out the first kind of database
  1081. 38:33for behavior on Google Books he's like I
  1082. 38:37can't get anyone to use it but I can
  1083. 38:38order you to use them
  1084. 38:41tell me interesting things yeah um or
  1085. 38:43like my my actual boss like the product
  1086. 38:46manager director he'd be like I have to
  1087. 38:48speak at a conference
  1088. 38:50tell me something interesting from our
  1089. 38:52Vlogs like the the records of how people
  1090. 38:53interact with things and so I'm getting
  1091. 38:56this interesting on the ground
  1092. 38:57experience in learning data science
  1093. 38:59because these two people are like no one
  1094. 39:02will tell us anything like you have to
  1095. 39:04go find it and I and so I got this
  1096. 39:06education that I would have gotten if
  1097. 39:08I'd worked on just about anything else
  1098. 39:10not taught in schools not in a book yeah
  1099. 39:12it's on the ground yeah yeah
  1100. 39:15um so at some point and actually to draw
  1101. 39:17the circle back yeah yeah that's one of
  1102. 39:19the fundamental problems that we as like
  1103. 39:21a society have to talk about yes which
  1104. 39:24is we have these opaque systems so these
  1105. 39:26these these very complicated Technical
  1106. 39:28Systems that are directing the
  1107. 39:31information in our societies and the way
  1108. 39:33you get to learn about them is you have
  1109. 39:35to get a job at the company
  1110. 39:37inside the walls yes and now you are you
  1111. 39:39have to be bought in you have there's
  1112. 39:42Stakes for like sharing that information
  1113. 39:44and that is a societal problem that we
  1114. 39:46have to talk about so I will certainly
  1115. 39:49come back to your story um the that
  1116. 39:52concern is
  1117. 39:53I think really goes to the Crux I think
  1118. 39:56what a lot of people certainly what I do
  1119. 39:58have a concern about you know especially
  1120. 39:59with publicly traded companies oh the
  1121. 40:01fact that we have closed opaque
  1122. 40:03companies have a black box you can't we
  1123. 40:06can't tell you what's happening inside
  1124. 40:07of and but just trust us and invest with
  1125. 40:09us is a real problem right huge problem
  1126. 40:11so so um
  1127. 40:15be on the screen yeah and one of the
  1128. 40:18stakeholder groups we want to work with
  1129. 40:19is investors and usually when you form a
  1130. 40:22non-profit you're like oh like we're
  1131. 40:24gonna help the puppies we're going to
  1132. 40:25help the children we're going to help
  1133. 40:27you know Wonderful Elders in our
  1134. 40:29community
  1135. 40:30um not very many people are like we got
  1136. 40:31to help the investors right but the
  1137. 40:34reality is right now we have large
  1138. 40:37powerful institutions that allocate huge
  1139. 40:40amounts of Capital Money uh to influence
  1140. 40:43like where the world is going to go and
  1141. 40:45those large like these people who should
  1142. 40:47be making important allocation decisions
  1143. 40:49in terms of like we as a society are
  1144. 40:52going to invest our our hard-earned
  1145. 40:54gains in this way or that way they're
  1146. 40:56saying to us things like we got
  1147. 40:58blindsided by Facebook
  1148. 41:00like we were told this is always going
  1149. 41:02to go up
  1150. 41:03we were never told any of the risks we
  1151. 41:05didn't even know what questions to ask
  1152. 41:07like if we had been dealing with a car
  1153. 41:09company we could have said hey we've
  1154. 41:11noticed a larger number of complaints
  1155. 41:12are coming in or we could say hey we've
  1156. 41:14noticed there are more lawsuits what's
  1157. 41:16going on what's your plan to deal with
  1158. 41:18that we could have played our
  1159. 41:19accountability role and because we have
  1160. 41:22been denied the chance to even learn
  1161. 41:24what questions to ask
  1162. 41:26we can't play that accountability role
  1163. 41:29in society
  1164. 41:31that element of transparency and
  1165. 41:33accountability are so important
  1166. 41:36um
  1167. 41:37not just from an Institutional Investor
  1168. 41:39standpoint but for Mom and Pop shops
  1169. 41:42that are trying to invest they're
  1170. 41:43totally hard-earned money right
  1171. 41:44retirement accounts very important
  1172. 41:46um I I love that you have the business
  1173. 41:49background too yeah if we can talk about
  1174. 41:51Harvard Business School for a second so
  1175. 41:53we came there you had some uh work
  1176. 41:56experience your Google you had your uh
  1177. 41:59studying Cold War uh
  1178. 42:03how did Harvard Business School change
  1179. 42:06your thinking about the way the world
  1180. 42:08operates so I came into to Harvard
  1181. 42:12um really caring about organizational
  1182. 42:14health so have you seen the TV show
  1183. 42:16Silicon Valley yes so I have only seen
  1184. 42:20maybe two or three episodes of the show
  1185. 42:22because uh for for your listeners or
  1186. 42:24your viewers
  1187. 42:26um it's supposed to be a comedy yeah
  1188. 42:27right the TV TV comedy
  1189. 42:30um I think of it as a documentary
  1190. 42:31because most of the they they did a
  1191. 42:34really really good job of of talking to
  1192. 42:36actual people in Silicon Valley to get
  1193. 42:38the jokes and the circumstances and all
  1194. 42:40those things and things they play for
  1195. 42:42Laughs I've seen happen to real people
  1196. 42:44and they're it's not funny it's not
  1197. 42:46funny what happens to a real person and
  1198. 42:48um none of it happened to me but um like
  1199. 42:51I watch things like I had a co-worker
  1200. 42:53who
  1201. 42:55um uh was was underperforming and uh
  1202. 42:58instead of just like firing them they
  1203. 43:01moved everyone else off the team but
  1204. 43:04left him and then left him in a room by
  1205. 43:06himself yeah so every other engineer
  1206. 43:08sits in a room with like four or six
  1207. 43:09people and he's down this little
  1208. 43:11twisting hallway and the only person who
  1209. 43:13talks to him is me because I I'm still
  1210. 43:15his product manager I would like him to
  1211. 43:17work you know
  1212. 43:19um but think about that's the rest
  1213. 43:21invest story from Silicon Valley and and
  1214. 43:24so you know I go into HBS being like I
  1215. 43:26really care about how organizations can
  1216. 43:28be healthy
  1217. 43:29how you know we spend a third of Our
  1218. 43:31Lives on work like how can we make
  1219. 43:33certain places where people thrive where
  1220. 43:35people can be most fully impactful in
  1221. 43:38the world
  1222. 43:39um we can get along with each other and
  1223. 43:41uh so I came out that goal but then I
  1224. 43:43got this much much broader education so
  1225. 43:46they make a State political economy
  1226. 43:48classes and ethics classes and uh I took
  1227. 43:52a class on green business that was super
  1228. 43:54fascinating because a lot of those
  1229. 43:56consequences you know
  1230. 43:5813 years down the road they're playing
  1231. 44:00out now right
  1232. 44:02um uh the
  1233. 44:04I I think the most important thing I
  1234. 44:07learned at HBS though was that the world
  1235. 44:09changes incredibly slowly
  1236. 44:11right so in Silicon Valley you know all
  1237. 44:14of the funding Cycles are on two-year
  1238. 44:16time Horizons it's like you tell us how
  1239. 44:18You're Gonna Change the World in two
  1240. 44:19years and now it's shifting a little bit
  1241. 44:21because companies generally IPO in like
  1242. 44:23seven to ten years yeah so people say I
  1243. 44:25want to know a longer Arc but in 2006
  1244. 44:282007 like we were still in the wake of
  1245. 44:32the 90s
  1246. 44:33where like you know Netscape uh an ipo'd
  1247. 44:3718 months after was founded for billions
  1248. 44:39of dollars yeah right and so you listen
  1249. 44:42to people talking it's very much like if
  1250. 44:44I don't do X by the time I'm 30 I failed
  1251. 44:46yes
  1252. 44:47so I go to HBS and I learn basically
  1253. 44:50every name brand company you've heard of
  1254. 44:52or like people or or like things that
  1255. 44:54were interesting that companies have
  1256. 44:55done they take like 10 years
  1257. 44:58and and I think the secondary thing I
  1258. 45:00learned there was you know they may I I
  1259. 45:03I took a class inadvertently like I took
  1260. 45:06a class because I wanted a specific
  1261. 45:08class schedule like I only want to go to
  1262. 45:10school like two and a half days a week
  1263. 45:12um I want to go build a code at Google I
  1264. 45:14want to go travel my other time
  1265. 45:16um
  1266. 45:17the this class was about the idea that
  1267. 45:20every executive
  1268. 45:22like we can look at their lives and say
  1269. 45:24oh they got an escalator of success and
  1270. 45:26it was just like straight up to the top
  1271. 45:27but the reality is that when you sit
  1272. 45:29down with CEOs and ask them about their
  1273. 45:31lives every single one of them has a
  1274. 45:34story about a crucible they face like a
  1275. 45:36moment where you know they got sick
  1276. 45:38someone close them got sick they really
  1277. 45:41messed up at work they maybe got a drug
  1278. 45:44habit like all all kinds of things can
  1279. 45:46happen
  1280. 45:47and the difference between a CEO and
  1281. 45:49someone who ends up in the gutter is is
  1282. 45:52they've corrected right they said I can
  1283. 45:54stumble and I can get back persevere and
  1284. 45:57I think probably the most important
  1285. 45:59thing for me on that long timer like one
  1286. 46:01was you have to think about your life as
  1287. 46:03a journey you have to think about his
  1288. 46:05chapters you you're going to live to be
  1289. 46:07quite old what are you going to do at
  1290. 46:09that time but the second thing was when
  1291. 46:11I got so sick in my late 20s instead of
  1292. 46:14saying oh I failed you know like I was I
  1293. 46:17was such a a you know top performer my
  1294. 46:20entire life that's why I got each of
  1295. 46:21these opportunities yeah you know now I
  1296. 46:23will never get back on that course I was
  1297. 46:26able to say actually no I'm going
  1298. 46:27through my Crucible
  1299. 46:28right like yes I can't walk yes I I'm so
  1300. 46:32weak I can't feed myself yes I'm like
  1301. 46:34incontinent like that's how that's how
  1302. 46:36falling apart I am but I can get back up
  1303. 46:38and I did and one of the things that I
  1304. 46:41wanted to go into more in this book but
  1305. 46:43I didn't get a chance because the book
  1306. 46:44is already kind of long right like I the
  1307. 46:46book I wrote is the one that I think we
  1308. 46:48as a society need right now
  1309. 46:50but the book I I may one day write if I
  1310. 46:52ever go over the PTSD of Ryan the first
  1311. 46:55one is
  1312. 46:56um you know
  1313. 46:58we tell ourselves stories about why we
  1314. 47:01are not powerful
  1315. 47:02and the thing I learned from basically
  1316. 47:04losing everything right so in that
  1317. 47:07moment in my life like my husband left
  1318. 47:09me I lost my job because my manager at
  1319. 47:11Google thought I was lying about being
  1320. 47:13so sick I I was on death's door right
  1321. 47:16like things that happened to me in the
  1322. 47:17hospital I have a 10 fatality rate right
  1323. 47:20like it's not trivial
  1324. 47:22um I'm alone I uh I I lost almost all my
  1325. 47:27savings renovating a house and having my
  1326. 47:30like Cohen or embezzle I mean just thing
  1327. 47:31after thing you know I came back from
  1328. 47:34people's worst fears and rebuilt a life
  1329. 47:38that I really loved before like I joined
  1330. 47:40Facebook
  1331. 47:41um and uh that that knowledge
  1332. 47:45that we can lose things and rebuild
  1333. 47:48allowed me when I faced a situation
  1334. 47:50where I choose to follow my heart or not
  1335. 47:53it gave me the power to pursue like what
  1336. 47:57what I thought was right
  1337. 47:59do you know who David Goggins is so
  1338. 48:02David Goggins uh he wrote a best-selling
  1339. 48:05book called can't hurt me he was a
  1340. 48:0720-year Navy SEAL who went through a
  1341. 48:09horrific childhood yeah over became 300
  1342. 48:12pounds lost the wave Community seal
  1343. 48:15um remarkable story
  1344. 48:18um and he talks about all the horrible
  1345. 48:20things he went through this childhood
  1346. 48:22with abuse from his father and all this
  1347. 48:24stuff and he goes That's My Cookie Jar
  1348. 48:26when I go through a rough time I think
  1349. 48:28well this isn't as bad as this right
  1350. 48:30um to me it sounds like you know you had
  1351. 48:32your own like jobs I'm still alive I'm
  1352. 48:36still pushing for it and that's just a
  1353. 48:37Common Thread we talked earlier about
  1354. 48:39some of our friends who are
  1355. 48:40whistleblowers they all have that story
  1356. 48:42The Crucible moment so there's a great
  1357. 48:44quote in your book about how long change
  1358. 48:47takes you said meaningful change real
  1359. 48:50change happened slowly the thing that
  1360. 48:53most of us most often because of real
  1361. 48:55change is the fear that we're not being
  1362. 48:58successful enough fast enough yeah to
  1363. 49:01great quote
  1364. 49:02um so you graduate Harvard Business
  1365. 49:05School and then now you're back at
  1366. 49:07Google what are you doing at Google at
  1367. 49:08this point
  1368. 49:09um so I came back in Google and got to
  1369. 49:11work on Google Plus yes so Google Plus
  1370. 49:13is is I think a fascinating tale of like
  1371. 49:17uh
  1372. 49:19what happens when you try to start a
  1373. 49:20social network with too many resources
  1374. 49:22right so Google looked at what was
  1375. 49:25happening on Facebook and said we're
  1376. 49:27facing kind of an existential threat
  1377. 49:28which is Google thrives off of an open
  1378. 49:32internet you know they want people to be
  1379. 49:34interacting freely they want to have a
  1380. 49:36diverse ecosystem because their
  1381. 49:39businesses they go pull that information
  1382. 49:40from these different places and they
  1383. 49:43make it easy to access
  1384. 49:45Facebook on the other hand they get
  1385. 49:47their power their money by owning data
  1386. 49:49by owning attention by owning that
  1387. 49:52ecosystem and there's no incentive for
  1388. 49:55them to share
  1389. 49:56right and so Google looked at that and
  1390. 49:58said oh like we need to make sure we are
  1391. 50:00also facilitating this kind of
  1392. 50:03um you know user produced content
  1393. 50:05ecosystem yeah in a way that we can
  1394. 50:07access it because there is a larger and
  1395. 50:09larger part of the internet that is now
  1396. 50:11closed off
  1397. 50:12and so they decided to start Google Plus
  1398. 50:15and uh and it was really fascinating for
  1399. 50:18me because it's like my first experience
  1400. 50:19getting to see kind of social software
  1401. 50:21so you know by the time I joined
  1402. 50:23Facebook I'd worked on Google Plus Yelp
  1403. 50:25and Pinterest and so it's kind of like
  1404. 50:26my first chapter into that space right
  1405. 50:29so the the plus part of Google was that
  1406. 50:32this social work okay so Google
  1407. 50:41read my my Google doc my spreadsheet
  1408. 50:44um they all used like different visual
  1409. 50:46language they often use different
  1410. 50:48systems for saying like who are you so
  1411. 50:51you might have multiple accounts this
  1412. 50:53was like this
  1413. 50:55is one of these beautiful things about
  1414. 50:56the internet like the internet did not
  1415. 50:58grow in a coherent beautiful package it
  1416. 51:00grew in like fits and starts in
  1417. 51:02different spots and the reality was
  1418. 51:04across Google you might actually have
  1419. 51:06five or six different Google accounts
  1420. 51:09prior to 2011. yeah right so part of
  1421. 51:12Google Plus was just saying hey we have
  1422. 51:15never actually acknowledged that people
  1423. 51:17exist
  1424. 51:18right like I always like to joke that
  1425. 51:21that um the design methodology of Google
  1426. 51:23for a long time was you know you know
  1427. 51:25after looking at all the data we have a
  1428. 51:28strong suspicion that human beings exist
  1429. 51:32right but but so like the Google said
  1430. 51:34hey like you know part of why Facebook
  1431. 51:36has been so successful is they've done
  1432. 51:38actually a really good job of hiring
  1433. 51:39designers and product managers even
  1434. 51:41Engineers that are social you know they
  1435. 51:44are people on the internet
  1436. 51:46we need to actually take a hard look at
  1437. 51:48at how we as a company interact with our
  1438. 51:50users and say hey identity matters like
  1439. 51:54I do that you are a person and the same
  1440. 51:56person is using all these things
  1441. 51:58relationships and interactions between
  1442. 52:00people matter like we need to have the
  1443. 52:02same ways of describing those
  1444. 52:03relationships so that you know if if you
  1445. 52:06share a bunch of stuff with someone on
  1446. 52:07this application when you start typing
  1447. 52:10their name on this one we should know
  1448. 52:11that
  1449. 52:12like you shouldn't get a random person
  1450. 52:14right you should get the person you
  1451. 52:15actually wanted
  1452. 52:17um and so as much as people like to say
  1453. 52:19Google plus failed
  1454. 52:22that kind of fixing of Google or like
  1455. 52:25studying the groundwork for Google
  1456. 52:26saying hey you actually need to be a
  1457. 52:28company that is human-centric yes I
  1458. 52:30think it's been incredibly successful
  1459. 52:32and even things like saying people have
  1460. 52:35characteristics like you you know I
  1461. 52:38don't I identify as a woman right like
  1462. 52:40even things like that Google didn't have
  1463. 52:42that data
  1464. 52:43and and one of the things that I think
  1465. 52:45is often like um not thought about
  1466. 52:47enough is is Google made enough more ad
  1467. 52:49Revenue just being able to let people
  1468. 52:51say hey this is who I am
  1469. 52:54that even though Google blew half a
  1470. 52:55billion dollars in Google Plus they've
  1471. 52:57easily made it up over time
  1472. 52:59okay so you got sick I did yeah you
  1473. 53:01talked a little bit about that
  1474. 53:03um
  1475. 53:05uh you took 15 months off can you talk a
  1476. 53:09little bit about what happened there if
  1477. 53:10you don't mind yeah so I went through a
  1478. 53:13phase that started maybe six months
  1479. 53:15after I joined Google Plus so I've been
  1480. 53:18in grad school for 22 months uh but I've
  1481. 53:21been out of the Bay Area I come back I'm
  1482. 53:23healthy for maybe six months and then I
  1483. 53:25start to get really tired
  1484. 53:28um I started to be in a lot of pain
  1485. 53:30and uh I went to the doctor number of
  1486. 53:33times and they're like oh you're in a
  1487. 53:34lot of pain you're tired it sounds like
  1488. 53:35you have depression
  1489. 53:36and I did not have depression I had a
  1490. 53:39very rare slow growing clot in my leg
  1491. 53:41that by the time I I ended up with a
  1492. 53:44blue leg and in the hospital it was a
  1493. 53:46foot long and it was the size of a cigar
  1494. 53:49like the size of a hot dog this is the
  1495. 53:50point where you're talking to your
  1496. 53:51parents he said I think I'm gonna go get
  1497. 53:52a massage and they go to the doctors
  1498. 53:54like so I wake up one morning and my leg
  1499. 53:57is like they're not the same color and
  1500. 53:59like my my um my eventual ex-husband and
  1501. 54:03I are still like friends like we still
  1502. 54:04like I was still uh hang out in each
  1503. 54:07other's places and he was like your legs
  1504. 54:09aren't the same color and I like looked
  1505. 54:10down I was like they are not the same
  1506. 54:12color
  1507. 54:13um and but they didn't hurt it just was
  1508. 54:15yeah it was just like a slightly blue
  1509. 54:17right and and one of the things I
  1510. 54:18learned once I got to the hospital
  1511. 54:19hospital was that if you have a blocked
  1512. 54:22or excuse me a partially blocked vein or
  1513. 54:25artery yeah so the blood's slowing down
  1514. 54:27your body is very smart it starts to
  1515. 54:29grow these things called peripherals
  1516. 54:31around it and because the the flow in my
  1517. 54:34leg had so slowly stopped
  1518. 54:38more and more peripherals had grown
  1519. 54:40around it
  1520. 54:41um and so uh the
  1521. 54:45um so the day that my leg turned blue
  1522. 54:46was just enough of the flow had cut off
  1523. 54:48and now it was just done or all those
  1524. 54:50like coping mechanisms were done and
  1525. 54:52that's why I was probably in so much
  1526. 54:53pain for so long was I didn't have
  1527. 54:55adequate Flow To My Life like there were
  1528. 54:57all these issues
  1529. 54:59um my heart was probably working extra
  1530. 55:00hard because it's having to still move
  1531. 55:02the blood around my body but now it has
  1532. 55:03to do this weird thing on my leg
  1533. 55:05um so I I get this like slightly blue
  1534. 55:07leg I'm really I'm really tired at this
  1535. 55:10point I've gone to the point where I had
  1536. 55:12been using a wheelchair regularly if I
  1537. 55:15needed to leave the house so like if I
  1538. 55:17if I was gonna drive somewhere I'd you
  1539. 55:19know walked my car I'd get in the car
  1540. 55:21um but like if I had to go to the
  1541. 55:23grocery store I'd probably in a
  1542. 55:24wheelchair or like if I needed to like
  1543. 55:26be on about for a while I broke my
  1544. 55:28wheelchair yeah
  1545. 55:29um because I I no one had gave me the
  1546. 55:31advice that actually a walker is the way
  1547. 55:32to go you don't want to go straight to a
  1548. 55:33wheelchair because you want to try to
  1549. 55:35move as much as possible
  1550. 55:37um and uh so I I you know I called my
  1551. 55:41parents I'm like what I have to do about
  1552. 55:43this and and I had a massage that I was
  1553. 55:45really looking forward to later that day
  1554. 55:46and in the way of an invincible 29 year
  1555. 55:49old I was like can I go to my massage
  1556. 55:52because you know I have you know it's
  1557. 55:55hard to get an appointment yeah let's
  1558. 55:57make an appointment and you know like
  1559. 55:58you know we feel really good and like
  1560. 56:00this sucks
  1561. 56:01um but the uh it's also I was raised by
  1562. 56:04a doctor and my mother likes to say that
  1563. 56:07doctors often have therapeutic nihilism
  1564. 56:09you know this idea of like oh whatever
  1565. 56:11they're not going to do anything for me
  1566. 56:13um but my parents were like no you need
  1567. 56:14to go to the ER right now and so I I
  1568. 56:18went into the ER and uh it turned out
  1569. 56:21that I had this huge clot
  1570. 56:23and part of it was uh kind of
  1571. 56:26formational about that time period was
  1572. 56:28it it wasn't simple like I came in and
  1573. 56:31they said you'll go home in three days
  1574. 56:33and they kept saying that for a month
  1575. 56:35thanks yeah
  1576. 56:37um and it uh it turned out that because
  1577. 56:40it was so large and where it was they uh
  1578. 56:43because it been in there for so long the
  1579. 56:46first couple of things they tried um to
  1580. 56:48get it out didn't work
  1581. 56:49um they ended up having to do surgery
  1582. 56:50three times I I the day I was supposed
  1583. 56:54to go home like 11 days in I had been so
  1584. 56:57bored at this point that I was like
  1585. 57:00doing science on myself basically like I
  1586. 57:03I had gotten them to give me a Sharpie
  1587. 57:04so I could like very precisely measure
  1588. 57:07the same place on my leg each time and
  1589. 57:09say like this is how much small so I'll
  1590. 57:11give you an example things were so out
  1591. 57:13of whack that my left leg was 10
  1592. 57:15centimeters bigger
  1593. 57:16than my right leg wow just because it
  1594. 57:18was so swollen yeah so I could tell them
  1595. 57:20things like my leg is coming down that
  1596. 57:22kind of thing
  1597. 57:23um because I remember I'm really bored
  1598. 57:25I've been stuck in the bed for 11 days
  1599. 57:26and the daily are supposed to like let
  1600. 57:29me out they came by for rounds and I was
  1601. 57:31like I have to weird rash on my leg it's
  1602. 57:33like nuisance yesterday and they they
  1603. 57:35looked down and they got really quiet
  1604. 57:37and they left
  1605. 57:39never a good time and um maybe it was 14
  1606. 57:41days and yeah it was like 14 days in
  1607. 57:43because that day my or like and then the
  1608. 57:44next day so the next day my parents
  1609. 57:47arrived so my parents you know like I
  1610. 57:49said it's a DVT it's not supposed to be
  1611. 57:51a big deal yeah
  1612. 57:53um like when I first call them in the
  1613. 57:54hospital they didn't know it was as big
  1614. 57:56as it was and my parents were like this
  1615. 57:58is no big deal your mom's had one you'll
  1616. 58:00be out in three days we'll come visit
  1617. 58:02you in two weeks right because like
  1618. 58:04plane tickets are cheaper if you buy
  1619. 58:05them all together right Thrifty
  1620. 58:07Norwegians and uh so my parents finally
  1621. 58:11show up and they've been monitoring
  1622. 58:12where I am from afar
  1623. 58:15um like my dad is calling every day
  1624. 58:16because he runs a clinical Lab at a
  1625. 58:19hospital and so he's a great person to
  1626. 58:21have in your back pocket if you're in
  1627. 58:22the hospital because he knows all the
  1628. 58:24tests that all the doctors CC's orders
  1629. 58:27um so my dad knows exactly how bad the
  1630. 58:29situation is
  1631. 58:30um I they've discovered at this point
  1632. 58:32that I am so malnourished from the
  1633. 58:35celiacs that
  1634. 58:36protein synthesis
  1635. 58:38and stuff right like this is one of
  1636. 58:39those things that has unfolded right
  1637. 58:41um so my parents get there
  1638. 58:43and at this point the nurses have begun
  1639. 58:46to take pity on me
  1640. 58:48so I I I went into the hospital with
  1641. 58:50like one of the most important pieces of
  1642. 58:52Life advice I can give people is when
  1643. 58:54you are in the hospital be nice to
  1644. 58:56everyone
  1645. 58:58because my father used to come home from
  1646. 58:59these things called morbidity and
  1647. 59:01mortality reviews it's just like where
  1648. 59:03when I'm an air happens in the hospital
  1649. 59:06um how why did it happen like why did
  1650. 59:09this person die and he would
  1651. 59:11occasionally be like
  1652. 59:13if you're ever in the hospital be nice
  1653. 59:15to everyone you meet because the people
  1654. 59:17who die of totally unavoidable things
  1655. 59:19are usually very unpleasant people or
  1656. 59:22their families are yeah right and so
  1657. 59:24people just don't check in on them as
  1658. 59:25often so I'm being like really nice to
  1659. 59:27everyone trying really hard even though
  1660. 59:29I'm like not very well and so they they
  1661. 59:31have taken pity on me and now have given
  1662. 59:34me a single which is the isolation room
  1663. 59:37so like this is even as an airlock you
  1664. 59:39know if I had some mysterious disease
  1665. 59:41that would put you in this room right so
  1666. 59:43it's very small and my parents have come
  1667. 59:45to visit me and suddenly half an hour if
  1668. 59:48they come in
  1669. 59:49all of my doctors appear like all of the
  1670. 59:52interns appear all the residents appear
  1671. 59:54my attending appears and they're like
  1672. 59:57you have heparin-induced
  1673. 59:58thrombocytopenia which is acronym to hit
  1674. 1:00:02you've got you've got hit yeah yeah and
  1675. 1:00:04that means you're having an allergic
  1676. 1:00:06reaction to the drug Heparin and it is
  1677. 1:00:09killing all of your platelets oh okay I
  1678. 1:00:11didn't get this okay they we had to take
  1679. 1:00:14it out of the book okay the all the all
  1680. 1:00:16the health like how do we how do we get
  1681. 1:00:18up when we fall down it has to be taken
  1682. 1:00:20out because the book's so my wife is a
  1683. 1:00:22physician and she's asking me it's like
  1684. 1:00:24what why would she said okay now it
  1685. 1:00:26makes sense that wasn't in the book okay
  1686. 1:00:27okay they're like so to finish the
  1687. 1:00:30sentence yeah how we're going to use
  1688. 1:00:32thrombocytopenia is where you have an
  1689. 1:00:33allergic reaction to Heparin which is a
  1690. 1:00:36blood thinner like if you got in a car
  1691. 1:00:37accident they would give you Heparin and
  1692. 1:00:40it's a miracle drug it would save your
  1693. 1:00:42life it would keep you from getting like
  1694. 1:00:43a stroke or like an embolism in your
  1695. 1:00:45lungs for one to two percent of the
  1696. 1:00:47population it kills all their playlists
  1697. 1:00:50so you start to bleed to death so the
  1698. 1:00:52reason I had that that rash on my leg
  1699. 1:00:54was I was bleeding out of my capillaries
  1700. 1:00:57wow crazy and the the thing that's super
  1701. 1:01:00crazy to me is they almost sent me home
  1702. 1:01:03right like if they had if I hadn't been
  1703. 1:01:05like bored in my hospital bed I've got
  1704. 1:01:07this weird rash I would have gone home
  1705. 1:01:09alone
  1706. 1:01:10and I would have if I'd Fallen I could
  1707. 1:01:13have let it let out right yep
  1708. 1:01:15um uh because I lived alone right and
  1709. 1:01:19um the so suddenly like like my parents
  1710. 1:01:23were very kind and they went home and
  1711. 1:01:24did a lot of research and then they
  1712. 1:01:26didn't tell me any of it
  1713. 1:01:27right they're like she can find out
  1714. 1:01:29after if she wants to ask
  1715. 1:01:31um but it meant that I might that stay
  1716. 1:01:33got extended and extended extended
  1717. 1:01:35because they couldn't stabilize my
  1718. 1:01:36clotting like they couldn't get me into
  1719. 1:01:38a place where I was safe to go home
  1720. 1:01:41and so I ended up going home after about
  1721. 1:01:42four weeks and I was very stubborn and I
  1722. 1:01:45didn't go to a nursing home and I should
  1723. 1:01:47have
  1724. 1:01:48um because I was actually too weak to
  1725. 1:01:49take care of myself and I ended up back
  1726. 1:01:51in the hospital uh maybe six weeks six
  1727. 1:01:54weeks later because I fell and if you
  1728. 1:01:56look very carefully I have a little scar
  1729. 1:01:57yeah um and it's because I hit my head
  1730. 1:02:00and I have no memory of it
  1731. 1:02:02and so I ended up in the hospital uh
  1732. 1:02:04with uh Aphasia yeah so I couldn't even
  1733. 1:02:07explain to the doctors like why was I
  1734. 1:02:09there
  1735. 1:02:11um and that time I went to rehab
  1736. 1:02:13so this is the cookie jar your cookie
  1737. 1:02:17jar is pretty full yeah at this point
  1738. 1:02:19were you still employed with Google yeah
  1739. 1:02:21because I I I
  1740. 1:02:25almost Improvement plan yeah but I had
  1741. 1:02:27accepted basically like a severance yep
  1742. 1:02:29and I had left right right I was dealing
  1743. 1:02:32with like I can either leave and know I
  1744. 1:02:34have a little bit of cash yes or I can
  1745. 1:02:36wait for them to fire me yeah
  1746. 1:02:38um and uh I didn't actually part of what
  1747. 1:02:41was um Complicated by that time period
  1748. 1:02:43was I didn't know that I still qualify
  1749. 1:02:45for disability
  1750. 1:02:46oh yeah because if you get sick within
  1751. 1:02:49like a year or something when you leave
  1752. 1:02:51you actually still qualify right and um
  1753. 1:02:54when I was in the hospital no right
  1754. 1:02:55after I got out of the hospital one of
  1755. 1:02:57the nurse practitioners like we are
  1756. 1:02:58going to help you file for disability
  1757. 1:03:01um and that definitely made it possible
  1758. 1:03:02for me to be able to spend 15 months
  1759. 1:03:05rehabbing wow
  1760. 1:03:07um what a story yeah
  1761. 1:03:09so you have this experience you almost
  1762. 1:03:12died yeah absolutely
  1763. 1:03:15um
  1764. 1:03:15you decide to go back to work at some
  1765. 1:03:18point yeah I I felt like I had to go
  1766. 1:03:20back to where when I did because I was
  1767. 1:03:21out of savings you didn't want to tap
  1768. 1:03:22your retirement funds yes I should have
  1769. 1:03:24done that so that's an advice you give
  1770. 1:03:26in the book I do in the book I say like
  1771. 1:03:27we hear over and over and over again do
  1772. 1:03:30not touch your retirement funds yeah and
  1773. 1:03:32we don't give the right level of gray
  1774. 1:03:35you know it's not actually a black and
  1775. 1:03:36white issue it's a things may happen to
  1776. 1:03:38you in your life where you can either
  1777. 1:03:40make really forced short-sighted
  1778. 1:03:43decisions and not tap that money or you
  1779. 1:03:46can say hey I'm giving myself twenty
  1780. 1:03:48thousand dollars ten thousand dollars
  1781. 1:03:49like I know I'm supposed to put this
  1782. 1:03:51from my retirement account but I'm I'm
  1783. 1:03:53buying time
  1784. 1:03:55so I can make higher quality decisions
  1785. 1:03:57because for a very small fraction of my
  1786. 1:04:00retirement funds I could have given
  1787. 1:04:01myself three more months
  1788. 1:04:03which you really could have used which I
  1789. 1:04:04would have it would have changed how I
  1790. 1:04:06thought about which jobs to take because
  1791. 1:04:08I took I took the second job I got
  1792. 1:04:10offered right because I was like oh like
  1793. 1:04:12I had this experience at Google where
  1794. 1:04:14you know I I my my self-esteem was
  1795. 1:04:17really low
  1796. 1:04:18and this was the job at Yelp at the job
  1797. 1:04:20at Yelp okay so how was yup different
  1798. 1:04:23than Google at this point yeah so so
  1799. 1:04:26um I think I think that's not obvious
  1800. 1:04:27people who are outside of Silicon Valley
  1801. 1:04:29is that there are different
  1802. 1:04:33uh different tech companies have
  1803. 1:04:36different amounts of profitability
  1804. 1:04:37price sounds really obvious when I say
  1805. 1:04:39it out loud it's very easy when you're
  1806. 1:04:41not in Silicon Valley to say like oh
  1807. 1:04:43these are all brand name companies they
  1808. 1:04:45must be all right like equally
  1809. 1:04:46successful right and Yelp had a really
  1810. 1:04:49hard challenge which is uh its business
  1811. 1:04:51not model is not super uh profitable
  1812. 1:04:54right so most still today even I think
  1813. 1:04:57still today I haven't read the numbers
  1814. 1:04:58recently okay but in 2016 when I was
  1815. 1:05:01there which was seven years ago it was
  1816. 1:05:03definitely not Gap Prof
  1817. 1:05:06so like if you use standard accounting
  1818. 1:05:07principles yeah once you account for all
  1819. 1:05:09the stock options they would give you or
  1820. 1:05:11stock they'd give people it wasn't
  1821. 1:05:12profitable right
  1822. 1:05:14um but the
  1823. 1:05:16um so I come in so one of the the
  1824. 1:05:19consequences of that fact so you know
  1825. 1:05:21some are more profitable some are less
  1826. 1:05:23profitable yeah is that in general you
  1827. 1:05:25get higher quality Talent
  1828. 1:05:29and I came into Yelp and I was very
  1829. 1:05:31surprised because like they had
  1830. 1:05:32remarkably good people yeah they just
  1831. 1:05:34had very young people
  1832. 1:05:35right so they had figured out a way to
  1833. 1:05:37keep the lights on by getting really
  1834. 1:05:40high quality people from like b-tier
  1835. 1:05:43technical programs
  1836. 1:05:45and then
  1837. 1:05:46um you know keeping them by saying hey
  1838. 1:05:48if you stay for this period of time
  1839. 1:05:50we'll make you a people manager and very
  1840. 1:05:52few places in Silicon Valley will make a
  1841. 1:05:5425 year old a people manager or like a
  1842. 1:05:57brand name place
  1843. 1:05:59um and so the
  1844. 1:06:02I I
  1845. 1:06:06that was my first experience working
  1846. 1:06:08with things like artificial intelligence
  1847. 1:06:10because
  1848. 1:06:11um I got to launch the first computer
  1849. 1:06:13vision feature at Yelp so what does that
  1850. 1:06:15mean
  1851. 1:06:16so uh we take for granted today that
  1852. 1:06:19when we open say Google photos they'll
  1853. 1:06:21have characterized our photos into
  1854. 1:06:23different things so for example
  1855. 1:06:26um there's like a memories feature where
  1856. 1:06:28they'll pop up a thing say this dinner
  1857. 1:06:30you went to like I never said that these
  1858. 1:06:32photos taken over two hours for dinner
  1859. 1:06:36the geolocation though is at a
  1860. 1:06:37restaurant you know there's pictures of
  1861. 1:06:39food there's pictures of wine like if
  1862. 1:06:42you were able to have a computer and say
  1863. 1:06:44what what is this about the computer
  1864. 1:06:46would say oh you had a dinner
  1865. 1:06:48so that process was relatively young in
  1866. 1:06:52in 2016. okay the research had been
  1867. 1:06:54around for a lot longer but in terms of
  1868. 1:06:56having features where you say hey
  1869. 1:06:59let's look at just the menu photos from
  1870. 1:07:02this restaurant you know two percent of
  1871. 1:07:04all the photos from the restaurant are
  1872. 1:07:06menu photos but people really want them
  1873. 1:07:08yeah uh like can we
  1874. 1:07:12have that process of sorting through all
  1875. 1:07:14the photos and finding the menus is
  1876. 1:07:15called a computer version okay great so
  1877. 1:07:19um Yelp which I used last night by the
  1878. 1:07:21way
  1879. 1:07:21um yeah very helpful
  1880. 1:07:24um but at this time it was really
  1881. 1:07:26focused on restaurants right everything
  1882. 1:07:28else was not too much it most people
  1883. 1:07:30think of it as for restaurants yeah they
  1884. 1:07:32make most of their money off of you
  1885. 1:07:33search for a plumber
  1886. 1:07:36the challenge is that for for most
  1887. 1:07:39people in most places they are not
  1888. 1:07:42um they're not enough say Thai
  1889. 1:07:44restaurants or any individual Thai
  1890. 1:07:46restaurant to be like I want to do an ad
  1891. 1:07:48right um and so the places where there's
  1892. 1:07:51actually competition are like you want a
  1893. 1:07:53lawyer you want a plumber you need your
  1894. 1:07:55carpets cleaned and so they make almost
  1895. 1:07:58all their revenue from those service
  1896. 1:07:59things
  1897. 1:08:00but most of the searches are for food so
  1898. 1:08:04the plumber is paying to be listed on
  1899. 1:08:06Yelp okay yeah what did you like about
  1900. 1:08:10working there what I like about right
  1901. 1:08:11there um so I had just come out of this
  1902. 1:08:14like traumatic experience where like I
  1903. 1:08:16thought I had not been eating gluten and
  1904. 1:08:18I had been exposed to gluten and I was
  1905. 1:08:21in the process of like working with a
  1906. 1:08:23doctor to like actually eat correctly
  1907. 1:08:25right like to figure out like what would
  1908. 1:08:28make me healthy and um it meant that
  1909. 1:08:31ever and this is still true today like
  1910. 1:08:32every time I leave my home I have to
  1911. 1:08:34have a plan on how I'm going to eat yeah
  1912. 1:08:36and my top tool like the thing that
  1913. 1:08:40wasn't going to keep me from ever having
  1914. 1:08:41that experience again was y'all
  1915. 1:08:43it's like that's what Yelp was to me
  1916. 1:08:46why did you leave me up when I leave
  1917. 1:08:48that um so I had a a very close friend
  1918. 1:08:52um uh who is like a big brother figure
  1919. 1:08:54to me yeah
  1920. 1:08:56um like his kids are my godsons he
  1921. 1:08:58reached out and said hey like you have a
  1922. 1:09:00very specific skill set like you worked
  1923. 1:09:02on search quality for years you can do
  1924. 1:09:05algorithms uh we need a product manager
  1925. 1:09:08for the home feed at Pinterest
  1926. 1:09:11um and Pinterest was like this very
  1927. 1:09:13sparkling relatively new tech company
  1928. 1:09:16and
  1929. 1:09:18um uh compared to Yelp which you know
  1930. 1:09:20Yelp is always a little struggling
  1931. 1:09:23um uh and the fact that it was just a
  1932. 1:09:25newer Tech stack you know like there was
  1933. 1:09:26an opportunity to make something out of
  1934. 1:09:28Pinterest
  1935. 1:09:30um I ended up taking that offer
  1936. 1:09:32so then you were at Pinterest
  1937. 1:09:34um but you were there for a relatively
  1938. 1:09:35short period of time if I remember like
  1939. 1:09:37two years two years okay which is long
  1940. 1:09:39in Silicon Valley as long as silica it's
  1941. 1:09:41all relative okay
  1942. 1:09:43to your like the the general rule is
  1943. 1:09:45like if you stay longer than two to
  1944. 1:09:46three years you end up making less over
  1945. 1:09:49the course of your career because every
  1946. 1:09:51time you change you get a salary bill
  1947. 1:09:53got it so zigzagging across the Silicon
  1948. 1:09:55Valley you work your way up okay off so
  1949. 1:09:58Facebook but but the thing that I
  1950. 1:10:00learned at Pinterest yes so I worked on
  1951. 1:10:03search quality primarily at Yelp right
  1952. 1:10:05so I did do some computer vision I did
  1953. 1:10:07do some stuff around
  1954. 1:10:09um can we productize our data right so
  1955. 1:10:12that's things like you go to a
  1956. 1:10:13restaurant uh we tell you
  1957. 1:10:15um like what do people usually search
  1958. 1:10:17for about this restaurant yeah what are
  1959. 1:10:18the facets
  1960. 1:10:20um uh that that are interesting about
  1961. 1:10:22entire restaurant versus a Greek
  1962. 1:10:24restaurant versus your your dry cleaners
  1963. 1:10:27yeah um what do other people usually
  1964. 1:10:28care about
  1965. 1:10:30um I but I primarily worked on search
  1966. 1:10:32quality which is similar to what I did
  1967. 1:10:34at Google
  1968. 1:10:35Pinterest was the first time I worked on
  1969. 1:10:37what's known as a recommender system
  1970. 1:10:38okay so recommender system is
  1971. 1:10:42um and this is important for people to
  1972. 1:10:44understand because recommender systems
  1973. 1:10:46now drive a huge amount of the
  1974. 1:10:49information we consume so the search
  1975. 1:10:51system right remember we talked at the
  1976. 1:10:53beginning we all see the same thing it's
  1977. 1:10:56also driven by what you ask for like if
  1978. 1:10:58you show up to Google without asking for
  1979. 1:11:00something you see a white a white screen
  1980. 1:11:02with a box with a recommender system we
  1981. 1:11:05say hey we've watched what you've
  1982. 1:11:07engaged with in the past you've seen
  1983. 1:11:09with your interests in the case of
  1984. 1:11:10Pinterest we know what the boards you
  1985. 1:11:13made yeah what your friends have done
  1986. 1:11:15we're going to show you a bunch of other
  1987. 1:11:16stuff you might like
  1988. 1:11:18or like on Facebook like you don't show
  1989. 1:11:19up to Facebook and say tell me what
  1990. 1:11:21Alice is doing tell me what Bob's doing
  1991. 1:11:23tell me thrill is doing they show you
  1992. 1:11:25stuff
  1993. 1:11:26um and that's a very different kind of
  1994. 1:11:29of technical system because you have to
  1995. 1:11:32manage it in a very different way and
  1996. 1:11:34that was the first time I worked with
  1997. 1:11:35those kinds of systems so my first
  1998. 1:11:36experience with this was with Amazon so
  1999. 1:11:38you we recommend the following books
  2000. 1:11:40right right that was the first
  2001. 1:11:42commercial recommender system okay so
  2002. 1:11:45for contacts this is like one things I
  2003. 1:11:46talk about in the book yeah the laws
  2004. 1:11:48that govern the internet today were
  2005. 1:11:51written in 1996
  2006. 1:11:52the uh
  2007. 1:11:56to we call it section 230 usually
  2008. 1:11:58casually
  2009. 1:12:00um in 1996 there were no commercially
  2010. 1:12:04available recommender systems in that
  2011. 1:12:06future you're talking about it came out
  2012. 1:12:08in 1999 amazing amazing right and the
  2013. 1:12:11first feed happened in 2008 with
  2014. 1:12:14Facebook the first algorithmic feed
  2015. 1:12:17happened in 2011. yes so like 15 years
  2016. 1:12:21went by before the first algorithmic
  2017. 1:12:23feed happened
  2018. 1:12:24so this is putting on my lawyer hat um
  2019. 1:12:27so the section 230 of the communications
  2020. 1:12:29decency Act of 1996.
  2021. 1:12:33um I was a freshman at College that's
  2022. 1:12:35the first time I learned about the
  2023. 1:12:36electronic mail come over and get your
  2024. 1:12:39electronic mail
  2025. 1:12:40um so that law that came in online
  2026. 1:12:43bulletin boards correct
  2027. 1:12:46um is now supposedly driving the boat
  2028. 1:12:49for modern day so a lot of people you
  2029. 1:12:53know look at scans at uh Facebook
  2030. 1:12:54pointing to section 230 for protection
  2031. 1:12:57and saying come on guys like this had
  2032. 1:13:00nothing to do with what you guys are
  2033. 1:13:01doing today Salesforce recently had a
  2034. 1:13:03case I believe or just by the Supreme
  2035. 1:13:05Court pointed to section 230 and the
  2036. 1:13:07court said no this doesn't give you
  2037. 1:13:09protection there you actually have to
  2038. 1:13:10have some uh liability when people
  2039. 1:13:14misuse your platform yeah you can't just
  2040. 1:13:17say I'm just providing a platform for
  2041. 1:13:19participation you actually have to
  2042. 1:13:20monitor what's happening there so as a
  2043. 1:13:23lawyer on our side to hear section 230
  2044. 1:13:25immediately you're going 1996. but
  2045. 1:13:28that's the law right so and people don't
  2046. 1:13:31realize that like correct I think I
  2047. 1:13:33think if people were like hey like you
  2048. 1:13:35know we could have to give like a
  2049. 1:13:37similar scale of magnitude you know if
  2050. 1:13:39it's like imagine we were still our
  2051. 1:13:41roads were still governed by laws from
  2052. 1:13:43the 70s right in the 70s you know you
  2053. 1:13:45could drink quite a lot and still drive
  2054. 1:13:47true right right right
  2055. 1:13:49um yeah it's kind of like that where
  2056. 1:13:50like the technology has changed the
  2057. 1:13:52circumstances have changed in the United
  2058. 1:13:54States we haven't passed a law in almost
  2059. 1:13:5630 years now unbelievable yeah uh Europe
  2060. 1:13:59has we'll talk about about that in a
  2061. 1:14:01second
  2062. 1:14:01um so Facebook so this is the part where
  2063. 1:14:04it you always try to think about follow
  2064. 1:14:07the lines here so
  2065. 1:14:09um you interview for this job with the
  2066. 1:14:11Civil Integrity Department
  2067. 1:14:14um doesn't exactly match up what you've
  2068. 1:14:16done before it was a job that
  2069. 1:14:18right right since safety and
  2070. 1:14:21you talked later about looking back like
  2071. 1:14:23oh there's some red flags here they
  2072. 1:14:25weren't hiring internally this job sat
  2073. 1:14:27vacant for a long time maybe there were
  2074. 1:14:30some signals here that this wasn't going
  2075. 1:14:32to be the best spot for you can you talk
  2076. 1:14:34about that context yeah yeah why were
  2077. 1:14:37you interested in that job why do you
  2078. 1:14:39ultimately decide to interview for that
  2079. 1:14:40job yeah so
  2080. 1:14:42um I when I was reading learning to walk
  2081. 1:14:44right like it's a very vulnerable time
  2082. 1:14:46in my life it's very hard right like you
  2083. 1:14:49know you don't you don't get sat down in
  2084. 1:14:51college and say like hey one day you
  2085. 1:14:52might need to learn we learn to walk
  2086. 1:14:53this is how you're going to do it yeah
  2087. 1:14:54and the way our medical system is set up
  2088. 1:14:57is we don't really do wraparound care
  2089. 1:14:58right like I would have really benefited
  2090. 1:15:00from like a coach that said hey like
  2091. 1:15:03you're going through this experience
  2092. 1:15:05like like if you were if you were if you
  2093. 1:15:07were you know God forbid you got
  2094. 1:15:09diagnosed with cancer we now know like
  2095. 1:15:12you need to have like basically a sherpa
  2096. 1:15:13who's gonna lead you on your your quest
  2097. 1:15:16there's not a lot of 29 year olds that
  2098. 1:15:18learn to relearn to walk so I'm I'm kind
  2099. 1:15:20of piecing it together the best I can
  2100. 1:15:22you know as a blind personally in the
  2101. 1:15:24Blind and um this person comes into my
  2102. 1:15:27life who is a friend of my younger
  2103. 1:15:29brother so they've been living together
  2104. 1:15:31at this Hacker House so it's called hack
  2105. 1:15:34Lantus it's like very silicon oh yeah
  2106. 1:15:37it's it's in like a very rough
  2107. 1:15:40neighborhood in San Francisco it's
  2108. 1:15:41literally a warehouse that someone like
  2109. 1:15:43put up a bunch of um bunk beds in right
  2110. 1:15:47it's like maybe three rooms there's like
  2111. 1:15:49a bathroom a big room with a bunch of
  2112. 1:15:50bunk beds and like maybe a little
  2113. 1:15:52smaller room yeah
  2114. 1:15:54um and uh he I he he was like a a kind
  2115. 1:15:59of lost maybe 23 year old who would come
  2116. 1:16:01to San Francisco to make his way in the
  2117. 1:16:02world
  2118. 1:16:03and uh I hired him to be an assistant
  2119. 1:16:06when I needed to clean out a storage
  2120. 1:16:08unit so I had a storage closet in my
  2121. 1:16:10building I was weak enough that I could
  2122. 1:16:12either haul the boxes into my apartment
  2123. 1:16:14and then haul whatever was left over to
  2124. 1:16:16the trash
  2125. 1:16:17or I could go through the boxes like I
  2126. 1:16:20was not going to be able to do all of
  2127. 1:16:22them and so he allowed me to be able to
  2128. 1:16:24sit on the couch and go through boxes
  2129. 1:16:26and triage all this stuff
  2130. 1:16:28um and he would carry things for me
  2131. 1:16:29right because that's kind of the level I
  2132. 1:16:31was at
  2133. 1:16:32and we became really good friends
  2134. 1:16:35and I kept hiring for more odd jobs and
  2135. 1:16:39at some point I like he needed an office
  2136. 1:16:43right so he was living in like a a
  2137. 1:16:48the reality of the Bay Area we have no
  2138. 1:16:50housing so he was living in uh like a
  2139. 1:16:53garage in Berkeley like like people
  2140. 1:16:55literally build big plywood boxes and
  2141. 1:16:57put them in their garages and then rent
  2142. 1:16:59them because it's barbaric is this Jonah
  2143. 1:17:02yeah and
  2144. 1:17:04um the
  2145. 1:17:06um this could be like an offside for the
  2146. 1:17:09like not in thing so I intentionally
  2147. 1:17:11changed the names and it's really hard
  2148. 1:17:13for me sometimes yeah right tell the
  2149. 1:17:15story maintain privacy yes
  2150. 1:17:17um the yeah so so Jonah was living in
  2151. 1:17:20one of these like horrible housing
  2152. 1:17:21situations and I you know I'm a big
  2153. 1:17:24sister right like I I look out for my
  2154. 1:17:26younger brother
  2155. 1:17:27he uh Jonah kind of took on the status
  2156. 1:17:29of like our our third brother you know
  2157. 1:17:31like the one that we we never got to
  2158. 1:17:33have
  2159. 1:17:34um uh and I I was like I'm not home like
  2160. 1:17:3810 or 12 hours a day you know like I
  2161. 1:17:40have to commute into San Francisco from
  2162. 1:17:42the East Bay I have to commute back my
  2163. 1:17:44apartment is not being used please don't
  2164. 1:17:47sit in a box in a garage all day like if
  2165. 1:17:50you're if you can give me 20 hours of
  2166. 1:17:51assistance work a month you can have
  2167. 1:17:53this as like an office like No One's
  2168. 1:17:55Gonna use it
  2169. 1:17:57um and so he came into my life as like a
  2170. 1:17:59uh like a really important part of my
  2171. 1:18:02team in terms of getting better
  2172. 1:18:04and
  2173. 1:18:06um and I I by the time he left my life
  2174. 1:18:10it was really hard for me because I felt
  2175. 1:18:13like I owed the life I had and I still
  2176. 1:18:15feel this way today
  2177. 1:18:16the fact that he walked beside me while
  2178. 1:18:19I was going through all this wow yeah
  2179. 1:18:20right like literally part of relearning
  2180. 1:18:22to walk is you have to go on long walks
  2181. 1:18:25and instead of having to go for a long
  2182. 1:18:27walk in the dark by myself every night
  2183. 1:18:29like he would often go with me right
  2184. 1:18:31which meant I walked more right all
  2185. 1:18:33these things in my life happened faster
  2186. 1:18:35because he could be like I went grocery
  2187. 1:18:37shopping for you here's nutritious food
  2188. 1:18:39or we're going to go for a walk and I
  2189. 1:18:42know you're tired from work but it
  2190. 1:18:43doesn't matter we're gonna go for a walk
  2191. 1:18:45um and he left my life because after
  2192. 1:18:49Bernie Sanders lost the primaries in
  2193. 1:18:522016
  2194. 1:18:53he felt really vested in that campaign
  2195. 1:18:55he felt like it was speaking to people
  2196. 1:18:58like him who you know were trying to
  2197. 1:19:00figure out how to have a place in the
  2198. 1:19:01world
  2199. 1:19:02um but we're struggling in the modern
  2200. 1:19:03economy and uh he turned to places on
  2201. 1:19:07the internet to commiserate that also
  2202. 1:19:09introduced him to a lot of
  2203. 1:19:11conspiratorial thinking a lot of
  2204. 1:19:15um kind of fatalism about the world and
  2205. 1:19:18by the time the 2016 election rolled
  2206. 1:19:20around like we were arguing over things
  2207. 1:19:22like does George Soros Run the World
  2208. 1:19:24economy
  2209. 1:19:26which is like a very cliche conspiracy
  2210. 1:19:29theory and it and the moment I realized
  2211. 1:19:32I had lost him to you know these forces
  2212. 1:19:36on the internet was I sent him like a
  2213. 1:19:39long fact checked response to one of
  2214. 1:19:41these things he had said to me and you
  2215. 1:19:44know because he was talking about how
  2216. 1:19:45like George Soros is dangerous he funds
  2217. 1:19:47violent revolutionaries
  2218. 1:19:49I was saying things like you know he
  2219. 1:19:51helped support the rose revolution in
  2220. 1:19:52Romania or uh or maybe it's Bulgaria I
  2221. 1:19:55don't know which which one which is
  2222. 1:19:57literally people were standing in public
  2223. 1:19:58squares with roses like I don't think
  2224. 1:20:00that's violent revolutions right
  2225. 1:20:03um and he he said back to me he's like
  2226. 1:20:05do you even check your own citations
  2227. 1:20:07these are all from the mainstream media
  2228. 1:20:09oh
  2229. 1:20:11right and and the thing that was
  2230. 1:20:13shocking for me about this was like if
  2231. 1:20:15we can't agree on the facts to then
  2232. 1:20:18build right consensus view of what is
  2233. 1:20:21reality yes how do we even start that
  2234. 1:20:23conversation
  2235. 1:20:25um and that was the moment where I was
  2236. 1:20:26like I don't have the tools to bring him
  2237. 1:20:28back
  2238. 1:20:29um
  2239. 1:20:30uh you know I can listen but if we can't
  2240. 1:20:33agree on like how to even begin talking
  2241. 1:20:35like you know I'm not the right person
  2242. 1:20:37anymore and so when Facebook reached out
  2243. 1:20:40I was like hey do you want to work at
  2244. 1:20:41Facebook
  2245. 1:20:43um I was pretty flippant with them
  2246. 1:20:45because like I didn't really care if
  2247. 1:20:47they offered me a job this is like 20
  2248. 1:20:49late 2018 early 2019.
  2249. 1:20:52um I was like the only thing I would
  2250. 1:20:53work on Facebook is misinformation
  2251. 1:20:56um because during that time period where
  2252. 1:20:58I was watching Jonah's struggle I was
  2253. 1:21:00working on ranking like the algorithms
  2254. 1:21:03behind Pinterest and all the problems
  2255. 1:21:05that we were having with algorithms and
  2256. 1:21:07then I look at the Facebook product and
  2257. 1:21:08I'd be like what are you doing yeah like
  2258. 1:21:11you clearly have this problem that we're
  2259. 1:21:13experiencing at Pinterest but in a
  2260. 1:21:14different context you're having it here
  2261. 1:21:17with like how you recommend follow-up
  2262. 1:21:19stories so you you know you put a like
  2263. 1:21:22on this reasonable story we're going to
  2264. 1:21:25show you something very very extreme
  2265. 1:21:27that's related to it so for example you
  2266. 1:21:29click on a story about the election and
  2267. 1:21:31the box under it now has a story saying
  2268. 1:21:33Pope endorses Donald Trump right like
  2269. 1:21:36right they clearly have not thought
  2270. 1:21:37about people abusing the system
  2271. 1:21:41wow
  2272. 1:21:43um you know as you're telling the story
  2273. 1:21:44I can't help but think of people I know
  2274. 1:21:46who have kind of fallen down that
  2275. 1:21:48similar path of you know being in an
  2276. 1:21:50echo chamber that then becomes a more
  2277. 1:21:52toxic Echo chamber and then you lose
  2278. 1:21:54them as friends
  2279. 1:21:55right the
  2280. 1:21:57um a
  2281. 1:22:04rangement right that that like uh the
  2282. 1:22:07thing we should strive for is connection
  2283. 1:22:09and Oneness and unity you know the
  2284. 1:22:12connection like that's what humans love
  2285. 1:22:14is connection and uh we are facing
  2286. 1:22:17forces that drive people into isolation
  2287. 1:22:19and alienation and estrangement
  2288. 1:22:22and so like uh it is it is easy to fight
  2289. 1:22:26long-term fights when you're fighting
  2290. 1:22:28out of care and love is very hard to do
  2291. 1:22:31long-term fights when you're finding out
  2292. 1:22:32anger in nature
  2293. 1:22:35so this job hits you at a good time
  2294. 1:22:38because of your experience with Jonah
  2295. 1:22:42um
  2296. 1:22:43can you talk about what your
  2297. 1:22:44responsibilities were as you come into
  2298. 1:22:46Facebook yeah um so I uh so this is this
  2299. 1:22:50is another like I look at this and I was
  2300. 1:22:51like God I did not I did not vet this
  2301. 1:22:53enough yeah um uh so I came in and I had
  2302. 1:22:56assumptions about what the job would be
  2303. 1:22:59because things were chaotic enough I
  2304. 1:23:02asked to meet with the engineering
  2305. 1:23:04manager I would work with because I
  2306. 1:23:05would usually be the person who would
  2307. 1:23:07frame your job for you that person had
  2308. 1:23:09not been hired yet and so I thought I
  2309. 1:23:12was talking to I thought I was talking
  2310. 1:23:14to the that person's manager I was
  2311. 1:23:16actually talking to their managers
  2312. 1:23:18manager
  2313. 1:23:20um my manager the person who would
  2314. 1:23:21manage me was too busy was not available
  2315. 1:23:25um and so I came in with an assumption
  2316. 1:23:27about what the job would be which was I
  2317. 1:23:29thought I was going to work on the US
  2318. 1:23:302020 election I show up and I find out
  2319. 1:23:33actually no you're going to work on all
  2320. 1:23:36misinformation that is beyond
  2321. 1:23:39third-party fact checking
  2322. 1:23:41can you talk about third party fact
  2323. 1:23:43Checkers yeah um so if one of the the
  2324. 1:23:45things that got hurled at me or like if
  2325. 1:23:47you look online like what people accuse
  2326. 1:23:49me of is she's the one that censored
  2327. 1:23:51Hunter Biden's laptop like that's that's
  2328. 1:23:54like one of the allegations and what I
  2329. 1:23:56find so funny about this is I so the
  2330. 1:23:59process that decided we're going to take
  2331. 1:24:00this down is something called third
  2332. 1:24:02party fact checking so they they hire
  2333. 1:24:03journalists to um they give them access
  2334. 1:24:07to a console they let them see the most
  2335. 1:24:08popular stories or things that are like
  2336. 1:24:11taking off
  2337. 1:24:12and they let journalists decide which
  2338. 1:24:15ones they're going to go research and
  2339. 1:24:16then make a little correction and say
  2340. 1:24:17hey this is you know this is partially
  2341. 1:24:19true this is true this is false
  2342. 1:24:21um uh things like the hunter by a laptop
  2343. 1:24:24would have been under the purview of the
  2344. 1:24:26original misinformation team like the
  2345. 1:24:28core misinformation team my team so that
  2346. 1:24:31team is like 40 people they run that
  2347. 1:24:33whole system similar name all right you
  2348. 1:24:37can see why people get confused yep my
  2349. 1:24:39team has maybe four or five people
  2350. 1:24:42Civic misinformation team and we've been
  2351. 1:24:45tasked with misinformation everywhere in
  2352. 1:24:47the world that is not touched by the
  2353. 1:24:49third party fact checking system
  2354. 1:24:51and the part that is is you know the
  2355. 1:24:53first place is like oh whatever you're
  2356. 1:24:54doing this little other thing no no
  2357. 1:24:56third party fact checking basically only
  2358. 1:24:58touched the United States and even then
  2359. 1:25:00maybe a couple hundred stories um
  2360. 1:25:03only touched the United States and even
  2361. 1:25:05then only maybe a couple hundred stories
  2362. 1:25:07a month
  2363. 1:25:09um some in Europe a scattering elsewhere
  2364. 1:25:13elsewhere in the world but but in
  2365. 1:25:15reality maybe four billion of Facebook's
  2366. 1:25:18users were not covered by third party
  2367. 1:25:20fact checking
  2368. 1:25:22so we're going to get a little bit in
  2369. 1:25:23the weeds here on
  2370. 1:25:25um so Facebook took off around the world
  2371. 1:25:28for some places based on this free basic
  2372. 1:25:31can you talk about how that rolled out
  2373. 1:25:33and why that was important yeah so I
  2374. 1:25:35think one of the most important things
  2375. 1:25:37that I'm always trying to repeat yeah
  2376. 1:25:39before because of issues around how
  2377. 1:25:41Facebook operates in in in places that
  2378. 1:25:44are not the United States yeah one thing
  2379. 1:25:46that's hard for people who can speak
  2380. 1:25:48English to understand is the English
  2381. 1:25:50version of Facebook is this is the
  2382. 1:25:52safest cleanest most groomed part of
  2383. 1:25:55Facebook in the world
  2384. 1:25:57the people who speak English only make
  2385. 1:25:58up nine percent of the Facebook users
  2386. 1:26:00nine percent yeah yeah and so when you
  2387. 1:26:03look at other places like let's say we
  2388. 1:26:05go to African countries let's say we go
  2389. 1:26:07to Southeast Asia
  2390. 1:26:09Facebook surveyed the world and said we
  2391. 1:26:12became Facebook because we killed
  2392. 1:26:14Myspace
  2393. 1:26:15and Myspace became Myspace because they
  2394. 1:26:17killed Friendster
  2395. 1:26:19there are it's like even when Google
  2396. 1:26:21Plus was being worked on they were still
  2397. 1:26:23Pockets around the world little spots
  2398. 1:26:24where the dominant social media platform
  2399. 1:26:27in that country like Korea India uh
  2400. 1:26:30Brazil was not Facebook
  2401. 1:26:33right they looked around the world and
  2402. 1:26:35said you know the place where the thing
  2403. 1:26:38that kills us comes from could be one of
  2404. 1:26:39these corners of the world
  2405. 1:26:41so we're going to go in there and say
  2406. 1:26:42hey we noticed data is extremely
  2407. 1:26:45expensive for you you know it might be
  2408. 1:26:47as high as like 65 or 100 a gigabyte
  2409. 1:26:50back
  2410. 1:26:512014. yeah right in countries that where
  2411. 1:26:54you the average person makes 300 a year
  2412. 1:26:56a month right
  2413. 1:26:58um and they said hey
  2414. 1:27:00if you want to use Facebook
  2415. 1:27:02like a simplified version of Facebook
  2416. 1:27:05um your or Whatsapp your data will be
  2417. 1:27:07free if you want to use anything else on
  2418. 1:27:09the open internet Beyond a couple other
  2419. 1:27:11sites like Wikipedia you're gonna pay
  2420. 1:27:13for it yourself
  2421. 1:27:14now what ended up happening was uh
  2422. 1:27:17Network effects be into a form so just
  2423. 1:27:19like how um you know we don't have two
  2424. 1:27:22telephone systems you don't have like a
  2425. 1:27:24telephone number here and telephone
  2426. 1:27:25number here we have one telephone system
  2427. 1:27:27in all of these countries the the
  2428. 1:27:29version of the internet that everyone
  2429. 1:27:31could access was Facebook so if you made
  2430. 1:27:34your own website now you were on the
  2431. 1:27:36internet that not everyone can access
  2432. 1:27:38but if you made a Facebook page everyone
  2433. 1:27:41could access them
  2434. 1:27:42and so Facebook became the internet for
  2435. 1:27:45a couple billion people in the world at
  2436. 1:27:47least
  2437. 1:27:48and even as fewer fewer people use
  2438. 1:27:50Facebook in the United States or in
  2439. 1:27:51Europe
  2440. 1:27:52those places still have lock-in because
  2441. 1:27:55it is the internet in those places even
  2442. 1:27:57today
  2443. 1:27:58fascinating
  2444. 1:28:01um so you're now looking at these other
  2445. 1:28:04countries that have huge usage levels or
  2446. 1:28:07languages that just aren't English like
  2447. 1:28:09if you're in the United States the 81 or
  2448. 1:28:1191 yeah that don't speak English
  2449. 1:28:14um uh if you're in uh any but maybe
  2450. 1:28:1910 or 15 languages at that point if you
  2451. 1:28:22speak any other language in the world
  2452. 1:28:23and remember there's four or five
  2453. 1:28:24thousand languages in the world
  2454. 1:28:26uh if you're even in the United States
  2455. 1:28:28and you speak Urdu if you speak Farsi
  2456. 1:28:31you're not getting any misinformation
  2457. 1:28:33screening
  2458. 1:28:35right right and so uh we're tasked with
  2459. 1:28:38how do you actually uh begin addressing
  2460. 1:28:41those issues and we only get to work on
  2461. 1:28:43that problem for three months
  2462. 1:28:45yeah because three months in uh they
  2463. 1:28:48come and say we actually have a bigger
  2464. 1:28:49problem
  2465. 1:28:50so think about you you like remember
  2466. 1:28:52misinformation outside of third-party
  2467. 1:28:54fact checking has caused things like me
  2468. 1:28:57and Marsh genocide yes so so think about
  2469. 1:28:59the relevance these things we're like
  2470. 1:29:00Hey we're we're hearing all these
  2471. 1:29:01reports about ethnic violence about you
  2472. 1:29:04know facilitating ethnic cleansing
  2473. 1:29:06through Facebook
  2474. 1:29:07but we have a bigger problem like think
  2475. 1:29:09about that for a moment
  2476. 1:29:11um and that problem was um so this is
  2477. 1:29:14now September 2019. elections coming up
  2478. 1:29:17elections coming up but the the even
  2479. 1:29:19more pressing issue is they have just
  2480. 1:29:21caught on Facebook
  2481. 1:29:23a Russian influence operation that is
  2482. 1:29:26targeting African-American activists uh
  2483. 1:29:28gay activists environmentalists and
  2484. 1:29:31police officers
  2485. 1:29:33and I think the issue was you know like
  2486. 1:29:35I said before they try to keep of the
  2487. 1:29:38English language version of Facebook as
  2488. 1:29:39clean as possible because we in America
  2489. 1:29:41could vote to put up sensible guardrails
  2490. 1:29:44right think about that for a moment
  2491. 1:29:47um uh and now you have
  2492. 1:29:51Russian influence operations targeting
  2493. 1:29:53people with guns
  2494. 1:29:55can you talk about this target marketing
  2495. 1:29:57of a subcommute I forget the phrase that
  2496. 1:29:59I think it's called narrowcast missing
  2497. 1:30:02information why would they do that why
  2498. 1:30:04are they targeting these specific
  2499. 1:30:05subcommunitions so think about this like
  2500. 1:30:07Facebook strategy up into that
  2501. 1:30:10Point viral misinformation yeah so this
  2502. 1:30:12is kind of part of I would call it the
  2503. 1:30:14respectability culture of Facebook that
  2504. 1:30:17Facebook cares more about
  2505. 1:30:18um making sure it looks good enough in
  2506. 1:30:20general right
  2507. 1:30:22um the uh
  2508. 1:30:26narrow cast misinformation though only
  2509. 1:30:28goes to a small pocket of people so in
  2510. 1:30:31the case of say African-American
  2511. 1:30:32activists if you target misinformation
  2512. 1:30:35to them either you like literally send
  2513. 1:30:37it on messenger or you figure out how to
  2514. 1:30:40Target their friends so their friends
  2515. 1:30:42share it to them or you target ads of
  2516. 1:30:44them there's a bunch of different ways
  2517. 1:30:46you can do this you find a group of
  2518. 1:30:48activists like a Facebook group of
  2519. 1:30:50activists who send it to that group
  2520. 1:30:51there's a lot of different techniques
  2521. 1:30:53you can use if you can get an activist
  2522. 1:30:55to then share out your misinformation
  2523. 1:30:59people who trust them trust it even more
  2524. 1:31:01because it came from them
  2525. 1:31:03so in the case of police officers like
  2526. 1:31:05police officers aren't just you know
  2527. 1:31:07people who carry guns they're people who
  2528. 1:31:09have a lot of respect in their
  2529. 1:31:10communities as a general rule it's not
  2530. 1:31:12going to be Universal
  2531. 1:31:14um and if you go in there and say like
  2532. 1:31:16hey you know Thin Blue Line right like
  2533. 1:31:19during black lives matter you know if
  2534. 1:31:21you put in these memes you can create
  2535. 1:31:22division or you can you can just make um
  2536. 1:31:26in more unstable right like if you start
  2537. 1:31:29having like we we know there is a
  2538. 1:31:31problem in the US armed services right
  2539. 1:31:33now around conspiratorial thinking like
  2540. 1:31:35Q Anon and things like that
  2541. 1:31:37think about how dangerous it is to have
  2542. 1:31:40people in your National Security sector
  2543. 1:31:42begin to believe things that are not
  2544. 1:31:44part of consensus reality
  2545. 1:31:47this uh is a great feature of Facebook
  2546. 1:31:49to be able to specifically Target from a
  2547. 1:31:53marketer standpoint for businesses but
  2548. 1:31:54Russia is using this for the purposes of
  2549. 1:31:57tainting uh the population in the United
  2550. 1:32:00States to drive certain agendas right
  2551. 1:32:02well there's other countries too but
  2552. 1:32:04yeah so they gave you two weeks to come
  2553. 1:32:07up the plan to address this concern
  2554. 1:32:08right is that is
  2555. 1:32:10Arrow cast well I guess
  2556. 1:32:14we did sorry so originally when I did
  2557. 1:32:16Civic misinformation they gave me two
  2558. 1:32:18weeks
  2559. 1:32:19the second time they also gave me two
  2560. 1:32:20weeks it's a staff of hundreds uh and
  2561. 1:32:24and the thing that is uh
  2562. 1:32:26we're frustrating about this is think
  2563. 1:32:27about this this problem had been known
  2564. 1:32:29for four years right they've known about
  2565. 1:32:32this since 2016. they were like oh when
  2566. 1:32:34we think about misinformation these are
  2567. 1:32:35the different facets yeah there was a 40
  2568. 1:32:38person engineering team
  2569. 1:32:40that when this is too complicated we're
  2570. 1:32:42not going to address it
  2571. 1:32:43and they gave our little like five
  2572. 1:32:45person team two weeks to figure out what
  2573. 1:32:47are you gonna do about it
  2574. 1:32:49so Facebook
  2575. 1:32:51um not a bootstrap company that was hard
  2576. 1:32:54no head cash available somewhere they
  2577. 1:32:57had tens of billions of dollars of
  2578. 1:32:59profit every year yeah they had 30
  2579. 1:33:00profit margins there
  2580. 1:33:02so 2019 140 billion dollars of Revenue
  2581. 1:33:07and so and they couldn't find like
  2582. 1:33:09another 5 million
  2583. 1:33:11why do you think they didn't do that why
  2584. 1:33:13didn't they put money at this issue I
  2585. 1:33:15think so a huge part about this book is
  2586. 1:33:17about so I said it for like there's the
  2587. 1:33:19book that I wanted to write when I
  2588. 1:33:20started out and the book that I was like
  2589. 1:33:21this is the book we need now yes
  2590. 1:33:24is that um and we talked about this when
  2591. 1:33:26we talked about opaque companies
  2592. 1:33:28trade-offs happen every day
  2593. 1:33:31and the case of safety safety is a cost
  2594. 1:33:33center at least in the system of
  2595. 1:33:35incentives that we have today like the
  2596. 1:33:37Digital Services uh act in Europe May
  2597. 1:33:41slightly change those economics but at
  2598. 1:33:43least as we think about it today
  2599. 1:33:45safety is a cost center
  2600. 1:33:47and counter factuals are very hard to
  2601. 1:33:49prove right if you prevent a thing from
  2602. 1:33:51happening that's actually worth a huge
  2603. 1:33:54amount of money but it's very hard if
  2604. 1:33:56you have a system that only cares about
  2605. 1:33:58objective measurement to say Hey you
  2606. 1:34:01know we Tamp down this fire before it
  2607. 1:34:02started raging
  2608. 1:34:04um and so under investment like that
  2609. 1:34:06happens so in the case of what we are
  2610. 1:34:08working on
  2611. 1:34:09um uh there are ways to find people who
  2612. 1:34:13are acting in that way it is much harder
  2613. 1:34:15to say uh this impact on society was XYZ
  2614. 1:34:19you know this is what we prevented and
  2615. 1:34:22so it was just not prioritized as a as a
  2616. 1:34:24a place that would be impactful
  2617. 1:34:28at this point so we're approaching 2020
  2618. 1:34:31uh the elections are coming Iowa's
  2619. 1:34:33coming in February of 2020.
  2620. 1:34:36the caucuses are you thinking about
  2621. 1:34:38leaving at this point
  2622. 1:34:41really I I felt very very conflicted so
  2623. 1:34:44by the middle of December
  2624. 1:34:482019. yeah like I remember having a
  2625. 1:34:51conversation where I was like
  2626. 1:34:53If I Stay am I culpable
  2627. 1:34:57because we are not doing enough like we
  2628. 1:35:00are we are am I window dressing for like
  2629. 1:35:03we're doing something
  2630. 1:35:05but if you know that you're not actually
  2631. 1:35:06doing enough that is Meaningful like if
  2632. 1:35:09you stay like are you lending to that
  2633. 1:35:11lie right
  2634. 1:35:13um and uh I was not really and I'm I'm
  2635. 1:35:17also dealing with like a really really
  2636. 1:35:19stressful environment which is the the
  2637. 1:35:21engineering manager they put with me
  2638. 1:35:24uh he had no background in data science
  2639. 1:35:28or in data mining or in artificial
  2640. 1:35:30intelligence
  2641. 1:35:32um he had not accepted any of my offers
  2642. 1:35:34to be like hey you're smart you can ramp
  2643. 1:35:36up in this like let's work together
  2644. 1:35:38right instead he would just like use
  2645. 1:35:40random AI buzzwords
  2646. 1:35:42and because his manager was also from
  2647. 1:35:44not that branch of engineering it's like
  2648. 1:35:46the metaphor I use in the book is
  2649. 1:35:48Engineers are a lot like doctors like if
  2650. 1:35:51you have a problem with your eye you
  2651. 1:35:52don't go to a podiatrist if you have a
  2652. 1:35:54problem with your foot you don't go to
  2653. 1:35:56an ophthalmologist it doesn't mean an
  2654. 1:35:58ophthalmologist or a podiatrist are
  2655. 1:35:59better or worse there's a specialist
  2656. 1:36:02and my engineering manager who was
  2657. 1:36:05supposed to be my collaborator my
  2658. 1:36:06teammate he was an expert at at scalable
  2659. 1:36:09Data Systems you know like you know you
  2660. 1:36:12have 300 million people around the world
  2661. 1:36:13who need to access your app it needs to
  2662. 1:36:16be up 99.99 of the year how do you do
  2663. 1:36:19that that's a very hard sophisticated
  2664. 1:36:21thing yeah it is not a thing where you
  2665. 1:36:23say somewhere in the United States
  2666. 1:36:2610 people are trying to influence a
  2667. 1:36:28subpopulation we're not going to tell
  2668. 1:36:30you which one
  2669. 1:36:31go find them
  2670. 1:36:32right
  2671. 1:36:33um and uh and and it caused all sorts of
  2672. 1:36:37conflict it was it was very bad
  2673. 1:36:40um because like he wouldn't acknowledge
  2674. 1:36:41that there was that difference and he
  2675. 1:36:43resented the fact that I was like
  2676. 1:36:45effectively leading the team so all
  2677. 1:36:48these factors are like coming together
  2678. 1:36:49and
  2679. 1:36:51um I I'm not a person with panic attacks
  2680. 1:36:53right right like a thing that I I often
  2681. 1:36:56tell people is like uh so I have severe
  2682. 1:36:59neuropathy yeah um which means like I I
  2683. 1:37:02um you know I couldn't walk in 2014.
  2684. 1:37:04today I can hike for 12 hours because my
  2685. 1:37:06nurse are regarding a lot my muscles are
  2686. 1:37:08regrown good for you super cool except
  2687. 1:37:10for my nerves are now noisy so because
  2688. 1:37:13they're growing I I get a lot of phantom
  2689. 1:37:15sensation I have like constant pain and
  2690. 1:37:18so I am always on things called
  2691. 1:37:20neuropathy and medication which slows
  2692. 1:37:23your nerves down like it makes that
  2693. 1:37:25noise less loud
  2694. 1:37:27um and it means that I'm in general very
  2695. 1:37:30calm because like my nerves just don't
  2696. 1:37:32fire very much
  2697. 1:37:34um even I
  2698. 1:37:36well medicated with like things that
  2699. 1:37:38make you calm yeah had a panic attack in
  2700. 1:37:41December of 20 20 29. right like it's
  2701. 1:37:43that stressful like I've come in and
  2702. 1:37:45like learned how different reality is
  2703. 1:37:48from like what I thought it had been
  2704. 1:37:51um I've tried to talk to people
  2705. 1:37:52internally I'm trying to like make my
  2706. 1:37:55team work nothing nothing is aligning
  2707. 1:37:57with anything I've done in the previous
  2708. 1:37:5914 years of my career right right
  2709. 1:38:02um I'm being made to feel like I'm the
  2710. 1:38:04problem I'm the crazy one and I have
  2711. 1:38:06this panic attack on New Year's Eve
  2712. 1:38:08um and that was kind of the moment I
  2713. 1:38:10realized like I am uh this is a lot
  2714. 1:38:13harder on me than I thought it was
  2715. 1:38:15and so I did have thoughts about
  2716. 1:38:16quitting at that point
  2717. 1:38:18um but I I kind of wanted to see
  2718. 1:38:22it through to like let's try to like
  2719. 1:38:24complete what we've said we were going
  2720. 1:38:26to work on
  2721. 1:38:27did you have hopes that you know if I
  2722. 1:38:29stay in the system maybe I can have some
  2723. 1:38:31positive effect so yeah so one things I
  2724. 1:38:34talk about in the book is a thing that
  2725. 1:38:35employees face in circumstances like
  2726. 1:38:38this
  2727. 1:38:39um and I think this is why a lot of
  2728. 1:38:40really good people are on Facebook is
  2729. 1:38:44you know there's at least one person
  2730. 1:38:46trying right if you leave there's one
  2731. 1:38:49less person who no even knows there's a
  2732. 1:38:51problem who's working on in the world
  2733. 1:38:54um uh that's a really hard trade-off and
  2734. 1:38:56a lot of people at Facebook
  2735. 1:38:58um particularly on the Civic Integrity
  2736. 1:39:00team
  2737. 1:39:01um fell into that Loop where they were
  2738. 1:39:04like I have to keep trying even though
  2739. 1:39:06there aren't enough people because I I I
  2740. 1:39:09would feel guilty if I knew I wasn't
  2741. 1:39:11trying and it would burn out a lot of
  2742. 1:39:13people
  2743. 1:39:15um I want people to buy your boat I uh
  2744. 1:39:17so I'm going to leave out some really
  2745. 1:39:19sure cool
  2746. 1:39:20slash concerning things um the way I was
  2747. 1:39:24framing to people is if you think you
  2748. 1:39:26don't like policy books yes this is a
  2749. 1:39:28policy book for you because I tell lots
  2750. 1:39:30of fun stories and I try to be really
  2751. 1:39:32accessible and I think this is such an
  2752. 1:39:34important space of Concepts yes that as
  2753. 1:39:38our economy gets more and more run by
  2754. 1:39:40these automated systems we're going to
  2755. 1:39:43need to have conversations about
  2756. 1:39:44transparency
  2757. 1:39:46absolutely and so that's my pitch on
  2758. 1:39:48them people should read it uh they
  2759. 1:39:51should buy it and they should pass out
  2760. 1:39:52for friends
  2761. 1:39:54um
  2762. 1:39:54let's let's advance to
  2763. 1:39:58December 20
  2764. 1:40:0120. sure after the election yeah
  2765. 1:40:05um the group that you're big with the
  2766. 1:40:07bigger group
  2767. 1:40:08the Civil Integrity Civic Integrity
  2768. 1:40:11Civic Integrity is being dissolved yes
  2769. 1:40:20I was in the corporate world before law
  2770. 1:40:22school I've sat through a similar
  2771. 1:40:24meeting
  2772. 1:40:25um so I I it resonated with me can you
  2773. 1:40:27talk about that meeting and what
  2774. 1:40:29everybody was thinking as they're
  2775. 1:40:30looking around the room weeks after
  2776. 1:40:32perhaps the most contentious election
  2777. 1:40:33we've ever written through so uh less
  2778. 1:40:36than 30 days after the election happened
  2779. 1:40:39is this early December 2020.
  2780. 1:40:42we got all told very suddenly like hey
  2781. 1:40:45there's gonna be a zoom call like
  2782. 1:40:47everyone needs to be on the zoom call
  2783. 1:40:48we've seen we know what this is going to
  2784. 1:40:50be about because
  2785. 1:40:51uh manager had posted on the internal
  2786. 1:40:54version of Facebook which is called
  2787. 1:40:56workplace
  2788. 1:40:57um a post saying hey here's the deal we
  2789. 1:41:01are being reorganized
  2790. 1:41:02inside of Facebook reorganizations
  2791. 1:41:04happen all the time so it's kind of like
  2792. 1:41:06how I spent that first three months in
  2793. 1:41:08Facebook working on one project and then
  2794. 1:41:10suddenly I'm on another project at
  2795. 1:41:12Facebook you might get thrown between
  2796. 1:41:13projects every six months like it's very
  2797. 1:41:15very chaotic and uh uh
  2798. 1:41:19um
  2799. 1:41:20my manager said we're being reorganized
  2800. 1:41:22like the thing that was Civic Integrity
  2801. 1:41:23is not going to be there and so we all
  2802. 1:41:25joined the zoom and we get told uh your
  2803. 1:41:29work has been so important we need to
  2804. 1:41:31integrate you into other parts of the
  2805. 1:41:33company
  2806. 1:41:35and uh you know people are asking
  2807. 1:41:38questions on this call and uh the you
  2808. 1:41:42know it just it doesn't sound right
  2809. 1:41:44right like within within six months of
  2810. 1:41:46that call
  2811. 1:41:48um a huge fraction of all the Civic
  2812. 1:41:50Integrity had with the company
  2813. 1:41:52because like when Facebook does
  2814. 1:41:54reorganizations the way you tell like
  2815. 1:41:56who won and who lost is who wants to
  2816. 1:41:59spend control yeah and the people who
  2817. 1:42:01had been the leaders of Civic Integrity
  2818. 1:42:03were not taking on leadership of the
  2819. 1:42:05teams we reintegrated into it was we
  2820. 1:42:07were being kind of shuffled into them
  2821. 1:42:10got it
  2822. 1:42:12um so you go to LinkedIn I'm guessing a
  2823. 1:42:14lot of people are going into their lives
  2824. 1:42:15yeah dusting off the old resume I mean
  2825. 1:42:18yeah maybe you can see what's out there
  2826. 1:42:20and you come across a message can you
  2827. 1:42:23talk about that so I'm I'm going down
  2828. 1:42:25through my messages because like I don't
  2829. 1:42:26log into LinkedIn very often even today
  2830. 1:42:28so if you've if you message me out there
  2831. 1:42:30I will get to you at some point but it
  2832. 1:42:32may be a couple weeks
  2833. 1:42:33um I I open up LinkedIn and there's this
  2834. 1:42:35message from Jeff Horowitz
  2835. 1:42:37and uh he says uh you know I the
  2836. 1:42:40election was almost certainly hard for I
  2837. 1:42:43know you're in Civic Integrity Wall
  2838. 1:42:44Street Journal reporter he's a Wall
  2839. 1:42:45Street Journal reporter he's not he had
  2840. 1:42:47done up to that point I think some of
  2841. 1:42:49the best reporting in the world
  2842. 1:42:52um
  2843. 1:42:53he says Hey like you know if you want to
  2844. 1:42:55reach out and Yeah and talk about
  2845. 1:42:57anything like you know
  2846. 1:42:58hit me up on the signal number and I I
  2847. 1:43:01message him like how would I how do I
  2848. 1:43:03know you are who you say you are right
  2849. 1:43:05because I've been working I've been
  2850. 1:43:07working on counter Espionage at Facebook
  2851. 1:43:08now for a couple of months
  2852. 1:43:11um you know I assume all channels are
  2853. 1:43:13compromised right
  2854. 1:43:15um and he says uh if you go to my
  2855. 1:43:17Twitter handle is my signal number is in
  2856. 1:43:20my Twitter handle like in my bio
  2857. 1:43:22um I'm about to publish this story in
  2858. 1:43:24the Wall Street Journal you know then
  2859. 1:43:26you'll know it's me
  2860. 1:43:27and lo and behold a couple hours later
  2861. 1:43:29the story appears in the Wall Street
  2862. 1:43:30Journal
  2863. 1:43:31and I'm like uh I would love to meet I'd
  2864. 1:43:35love to talk to you I think there's a
  2865. 1:43:36big opportunity here
  2866. 1:43:37um I can meet in person somewhere
  2867. 1:43:40um
  2868. 1:43:40we meet in a state park in the Oakland
  2869. 1:43:44Hills and I lay out a lot of what I've
  2870. 1:43:47talked about today like the idea that
  2871. 1:43:48Facebook is the internet and some of the
  2872. 1:43:50most fragile places in the world they
  2873. 1:43:52don't invest in Safety Systems because
  2874. 1:43:54they've told the public we have to use
  2875. 1:43:57these content moderation systems but
  2876. 1:43:59they haven't told people we have to
  2877. 1:44:02rewrite those Language by Language by
  2878. 1:44:03language
  2879. 1:44:04and in some of the most fragile places
  2880. 1:44:06in the world they're also the most
  2881. 1:44:07linguistically diverse so even when the
  2882. 1:44:10violence was happening in Ethiopia which
  2883. 1:44:12was like very similar to what happened
  2884. 1:44:14in Myanmar you know Ethiopia has a
  2885. 1:44:17hundred million people there's 95
  2886. 1:44:19dialects there's six major language
  2887. 1:44:21families and Facebook had any Safety
  2888. 1:44:25Systems two of the six language families
  2889. 1:44:28I want to say any I mean like two or
  2890. 1:44:30three like they were taking out hate
  2891. 1:44:31speech like they couldn't even take down
  2892. 1:44:33this information because there was no
  2893. 1:44:34third party fact checking it right
  2894. 1:44:37um and uh you know I said like I'm
  2895. 1:44:40worried that if we continue on the
  2896. 1:44:43director direction we are going
  2897. 1:44:45I Myanmar and Ethiopia are only the
  2898. 1:44:48first two chapters of a book that is
  2899. 1:44:50going to be horrific
  2900. 1:44:51because we are destabilizing some of the
  2901. 1:44:53most fragile places in the world in the
  2902. 1:44:55world and no one knows yeah yeah and
  2903. 1:44:57even today like when you look at
  2904. 1:44:59Facebook's trying to do to make like say
  2905. 1:45:01the 2024 election okay yeah they've been
  2906. 1:45:04saying things like we're de-prioritizing
  2907. 1:45:05news
  2908. 1:45:07what does that mean like what is a news
  2909. 1:45:08story what counts as a news story also
  2910. 1:45:11it's a language by language thing now
  2911. 1:45:14you have to actually have a thing in
  2912. 1:45:17each language saying this is news
  2913. 1:45:20right so these problems are that we
  2914. 1:45:22might it might look cleaner it might
  2915. 1:45:24look better in the United States right
  2916. 1:45:25now than it did a year or two ago but
  2917. 1:45:27that doesn't mean it's better in the
  2918. 1:45:29most fragile places in the world
  2919. 1:45:33so this part of the story is where I
  2920. 1:45:36want people to go to the button yeah
  2921. 1:45:37yeah
  2922. 1:45:38um because what you do over the next
  2923. 1:45:40nine-ish months of six months yeah
  2924. 1:45:45bringing him you know oh yeah and then
  2925. 1:45:48the stories come out yeah sure
  2926. 1:45:51um is really a a testament to your
  2927. 1:45:55tenacity to make sure the story gets out
  2928. 1:45:57and that you have the evidence to back
  2929. 1:45:59it up yes right because there is a lot
  2930. 1:46:01of stuff out there
  2931. 1:46:02um what a really good whistleblower does
  2932. 1:46:04is says you know here's the evidence
  2933. 1:46:07back I'm saying um and you seem to I
  2934. 1:46:10love the points you give to future with
  2935. 1:46:12celebrities about how to do it the right
  2936. 1:46:14way to be clear as the disclaimer in the
  2937. 1:46:17book says the
  2938. 1:46:19schwizzle blowers yeah but I do discuss
  2939. 1:46:21things that people who are considering
  2940. 1:46:23whistleblowing might want to think about
  2941. 1:46:25yeah and um a big part that I wanted to
  2942. 1:46:31um document was just
  2943. 1:46:34um I think part of why people don't blow
  2944. 1:46:36the whistle sometimes when they think it
  2945. 1:46:38really needs to be done and I I got put
  2946. 1:46:40in this spot right so like Jeff can't
  2947. 1:46:42help me figure out how to whistle up
  2948. 1:46:44like that's not right correct yes right
  2949. 1:46:46that's that's it unethical special evil
  2950. 1:46:49issues with it
  2951. 1:46:50um he he could ask me questions and he
  2952. 1:46:53could hope I could answer them but he
  2953. 1:46:54couldn't say could you get me a document
  2954. 1:46:56on this okay
  2955. 1:46:57right and so I had to Think Through
  2956. 1:46:59really carefully like like I think one
  2957. 1:47:02way to think about this is by this point
  2958. 1:47:04in my career I'd had multiple situations
  2959. 1:47:06that were really serious where people
  2960. 1:47:08just didn't believe me right like I'd
  2961. 1:47:10come out of you know we talked about
  2962. 1:47:12those first six months at Facebook you
  2963. 1:47:14know really crazy things happened
  2964. 1:47:16between me and the engineering major and
  2965. 1:47:18over and over again it didn't matter how
  2966. 1:47:20much detail I explained it in I was not
  2967. 1:47:22believed right or or even like that
  2968. 1:47:25first time I met with Jeff and I laid
  2969. 1:47:27out that scenario I said you know it
  2970. 1:47:30sounds crazy
  2971. 1:47:31right like like when you look at
  2972. 1:47:33Facebook in the United States it's like
  2973. 1:47:35your cousin's breakfast you know your
  2974. 1:47:37your nephew's Bar Mitzvah you know it's
  2975. 1:47:39not it's not um it's not a horror Escape
  2976. 1:47:42horror you know landscape of horror yeah
  2977. 1:47:45and um I
  2978. 1:47:48I I I knew
  2979. 1:47:51that if we had any chance of not having
  2980. 1:47:53that future
  2981. 1:47:54it had to be unquestionable
  2982. 1:47:57yes and I think the secondary thing was
  2983. 1:47:58I didn't want to be the story like I
  2984. 1:48:00didn't I didn't I didn't want to be the
  2985. 1:48:02person I am today and so I was like how
  2986. 1:48:04do you get enough depth and enough rigor
  2987. 1:48:07in a way that is unquestionable even if
  2988. 1:48:11no one can explain it to you and so I
  2989. 1:48:13did things like I took pictures not of
  2990. 1:48:16just the documents I took them of the
  2991. 1:48:18conversations around the documents yes
  2992. 1:48:20so that no one could say like Facebook
  2993. 1:48:21did later no one believed these
  2994. 1:48:24documents like these are these are
  2995. 1:48:25Cherry Picked these are outliers if you
  2996. 1:48:27can see the conversation under each
  2997. 1:48:29document you can see people believe this
  2998. 1:48:31was true When It Was Written yeah
  2999. 1:48:33uh very good point by the way so if
  3000. 1:48:35people are looking for attorneys uh we'd
  3001. 1:48:38advise them to reach out to our
  3002. 1:48:39organization who are you know a group of
  3003. 1:48:42whistleblower attorneys who can guide
  3004. 1:48:43them uh through uh the process and I and
  3005. 1:48:46I can't emphasize that point enough like
  3006. 1:48:48organizations like yours can you say
  3007. 1:48:50you're in the name of the organization
  3008. 1:48:51the anti-fraud Coalition yeah the
  3009. 1:48:52antenna fraud Coalition it's really
  3010. 1:48:54important to reach out to groups like
  3011. 1:48:55The signals Network which is a
  3012. 1:48:56non-profit that helps match people or to
  3013. 1:48:58organizations like yours because
  3014. 1:49:00individual firms are not necessarily
  3015. 1:49:03they might seem obvious like they might
  3016. 1:49:05have a name like a whistleblower in the
  3017. 1:49:06title but they may not actually be the
  3018. 1:49:08best fit for you and when you reach out
  3019. 1:49:10to an organization that can see the
  3020. 1:49:13whole picture they can help guide you to
  3021. 1:49:15people who have better track records and
  3022. 1:49:17I think that's really important from a
  3023. 1:49:18safety perspective very true very very
  3024. 1:49:20true uh so I recognize the book it's not
  3025. 1:49:23meant to be advice for future
  3026. 1:49:24whistleblowers but but it can be useful
  3027. 1:49:26for people who are thinking about
  3028. 1:49:27whistling I think it's a great Point yes
  3029. 1:49:29and we know that people watch and listen
  3030. 1:49:31to this show who are in your spot where
  3031. 1:49:33you were in 2020. um one of my
  3032. 1:49:36intentions with this book was part of
  3033. 1:49:37you know like we talked about before
  3034. 1:49:38about how do you get a job right there's
  3035. 1:49:41a bunch of other places in the book that
  3036. 1:49:43are are things that may seem obvious to
  3037. 1:49:45a 40 year old or a 50 year old that are
  3038. 1:49:48not obvious to a 23 year old or even
  3039. 1:49:50like you know the stuff I talk about
  3040. 1:49:51around being sick you know uh we don't
  3041. 1:49:54get manuals on how to struggle
  3042. 1:49:56right
  3043. 1:49:57um part of why I wrote the book the way
  3044. 1:49:58I did was I wanted it to be a book that
  3045. 1:50:00you could read you could read with
  3046. 1:50:02college students right that you could
  3047. 1:50:04use it in a lot of different places in
  3048. 1:50:05the classroom to talk about different
  3049. 1:50:06topics yeah yeah because it can't just
  3050. 1:50:09be a book about whistleblowing if we
  3051. 1:50:11want to inoculate
  3052. 1:50:13lots and lots of different kinds of
  3053. 1:50:15students to know that they have options
  3054. 1:50:19absolutely absolutely that's why the
  3055. 1:50:21book is written the way it's written so
  3056. 1:50:23your story eventually LED uh to Jeff
  3057. 1:50:26writing this fabulous Series in the Wall
  3058. 1:50:28Street Journal
  3059. 1:50:30um you testified in front of the Senate
  3060. 1:50:34um and 10 other parliaments and uh you
  3061. 1:50:37were interviewed by 60 minutes
  3062. 1:50:40and you as you mentioned you testified
  3063. 1:50:42over in Europe which led to the DSA
  3064. 1:50:46um it was helpful to the people who were
  3065. 1:50:48trying to pass the DSA yeah so that
  3066. 1:50:50languished for a long time it's a model
  3067. 1:50:52maybe that we may want to considered
  3068. 1:50:53here in the United States some
  3069. 1:50:56transparency right that we need here
  3070. 1:50:58um I think one way you can think about
  3071. 1:50:59it is like usually when people say what
  3072. 1:51:01would a sensible guardrail look like in
  3073. 1:51:03the United States yes because Facebook
  3074. 1:51:05has spent hundreds and millions of
  3075. 1:51:07dollars saying the only thing you can do
  3076. 1:51:09for safety is take down bad things not
  3077. 1:51:12like how we design the system matters
  3078. 1:51:14what product features we have matters
  3079. 1:51:16even even the research Recent research
  3080. 1:51:19that came out in science like I'm
  3081. 1:51:21thinking about doing my first YouTube
  3082. 1:51:22video because like I want to do an
  3083. 1:51:23explainer being like here's why these
  3084. 1:51:25papers which people are saying are
  3085. 1:51:27Facebook doesn't have an impact on
  3086. 1:51:29ideology on polarization on these
  3087. 1:51:32different things well-being this is why
  3088. 1:51:34these papers are really badly designed
  3089. 1:51:36yeah part of why the DSA is so important
  3090. 1:51:39is the DSA gives researchers the right
  3091. 1:51:42to Independent data
  3092. 1:51:44all of that research all the things that
  3093. 1:51:47we oh sorry there's two there's two ways
  3094. 1:51:49to think about regulation
  3095. 1:51:50Facebook has told us the only thing we
  3096. 1:51:53can do is take down bad content so we
  3097. 1:51:55think of sensible guardrails and be like
  3098. 1:51:58oh what can you not say online
  3099. 1:52:00there is a second world which I think is
  3100. 1:52:03a much more promising World which says
  3101. 1:52:05if you want to have free market
  3102. 1:52:07Innovation if you want people to
  3103. 1:52:09innovate and find healthier better ways
  3104. 1:52:11to have social media
  3105. 1:52:13you have to have someone who grades the
  3106. 1:52:15homework who is not the company because
  3107. 1:52:18then we're comparing this new Social
  3108. 1:52:20Network that might make you happier you
  3109. 1:52:22feel safer with your kids on the way we
  3110. 1:52:24are assessing is just marketing messages
  3111. 1:52:25yeah
  3112. 1:52:27if we pass laws that say
  3113. 1:52:29the public has the right to ask
  3114. 1:52:31questions and get answers
  3115. 1:52:32because unlike a car company where we
  3116. 1:52:35can take the car apart ourselves we can
  3117. 1:52:37crash test it ourselves unless we pass
  3118. 1:52:39laws that say we have the right to ask
  3119. 1:52:42questions and get answers
  3120. 1:52:44we will not get to know what we're
  3121. 1:52:46actually using we don't get to consent
  3122. 1:52:48as consumers and we don't get to have
  3123. 1:52:50free market Innovation so I found this
  3124. 1:52:52gentleman online uh his name is Elon
  3125. 1:52:54Musk so last yesterday he he tweeted
  3126. 1:53:00Facebook is manipulating the public
  3127. 1:53:02almost everywhere on earth that is why
  3128. 1:53:04they won't open source their algorithm
  3129. 1:53:06that was yesterday yeah so this is a
  3130. 1:53:08concern that other people obviously
  3131. 1:53:10still have about what's happening today
  3132. 1:53:11yeah of the company you know I I want to
  3133. 1:53:14acknowledge Elon has made a lot of
  3134. 1:53:16choices I don't necessarily agree with
  3135. 1:53:17that Twitter you know I think he's very
  3136. 1:53:19divisive there's a lot of people who
  3137. 1:53:21have very strong feelings about his
  3138. 1:53:24actions but Elon did publish the
  3139. 1:53:26algorithm and he did something more than
  3140. 1:53:28just publish the algorithm which is he
  3141. 1:53:30published the history of the algorithm
  3142. 1:53:32and as as someone who writes code or if
  3143. 1:53:35there's anyone else on your listening
  3144. 1:53:37who writes code you will understand how
  3145. 1:53:39Brave this is because earlier versions
  3146. 1:53:41of product projects are bad right like
  3147. 1:53:44he didn't just show you his homework and
  3148. 1:53:45say you can grade it yourself he said
  3149. 1:53:47look at how bad my homework was in the
  3150. 1:53:49past yeah right and so I think Elon has
  3151. 1:53:52a really important point which is that
  3152. 1:53:53we should not have an information
  3153. 1:53:55environment
  3154. 1:53:57where computers are telling us what to
  3155. 1:53:59focus on not humans not our friends not
  3156. 1:54:01our neighbors but computers are telling
  3157. 1:54:02us what matters where we don't get to
  3158. 1:54:05look at what that process is
  3159. 1:54:07but I think eagle and ghost needs to go
  3160. 1:54:09one step further or Facebook needs to go
  3161. 1:54:10one step further which is even the
  3162. 1:54:12people who design the algorithms
  3163. 1:54:14themselves don't necessarily know what
  3164. 1:54:16the side effects are
  3165. 1:54:17and so we also need to demand and
  3166. 1:54:19require them to publish outcome data
  3167. 1:54:23and so one of the projects that my
  3168. 1:54:25non-profit is working on is something
  3169. 1:54:26called minimum viable queries so when
  3170. 1:54:29you have startups you have minimum
  3171. 1:54:31viable products that's like the thing
  3172. 1:54:33you shove out the door first
  3173. 1:54:35minimum viable query says hey let's look
  3174. 1:54:37at the harms of social media
  3175. 1:54:39let's look at the levers so those are
  3176. 1:54:41places we might push on to either
  3177. 1:54:43prevent or mitigate harm
  3178. 1:54:45and say what data do we need to request
  3179. 1:54:47to get the magnitude of the harms or to
  3180. 1:54:50get a sense of how hard is any given
  3181. 1:54:52lever being used
  3182. 1:54:54because that lets us see our problems
  3183. 1:54:57getting worse or better on these
  3184. 1:54:58platforms and are they trying to address
  3185. 1:55:00them
  3186. 1:55:01got it and so I think once we start
  3187. 1:55:03having interfaces like that where we say
  3188. 1:55:05hey let's agree on what the minimum
  3189. 1:55:07viable queries are
  3190. 1:55:09that allows us to say okay we can have
  3191. 1:55:12privacy sensitive data feeds that's
  3192. 1:55:14things like
  3193. 1:55:15how many uh people under the age of 18
  3194. 1:55:18or how many people under the age of 14
  3195. 1:55:20yeah are online after midnight or
  3196. 1:55:23midnight one to three a.m right because
  3197. 1:55:26sleep deprivation is probably one of the
  3198. 1:55:28single biggest harms of social media for
  3199. 1:55:31sure and it lives with kids for the rest
  3200. 1:55:32of their lives you know there's little
  3201. 1:55:34things like that where we can come in
  3202. 1:55:35and say no one's privacy is violated by
  3203. 1:55:38you telling us how many kids are online
  3204. 1:55:39after 2 A.M
  3205. 1:55:41but it does matter from the perspective
  3206. 1:55:42of our kids actually consenting to use
  3207. 1:55:45these products or are you valuing their
  3208. 1:55:47their well-being in the futures
  3209. 1:55:50as a father of two children that
  3210. 1:55:52resonates for sure
  3211. 1:55:54here's a quote uh that came that I came
  3212. 1:55:56across when we choose to live in the
  3213. 1:55:59truth we make space
  3214. 1:56:01for other people to step into the light
  3215. 1:56:04as well it's your quick I love that
  3216. 1:56:06quote and I I hope that today's episode
  3217. 1:56:09inspires other people to step into the
  3218. 1:56:12light as well and I really appreciate
  3219. 1:56:14you taking time with us today I think
  3220. 1:56:16this is the record for the longest
  3221. 1:56:17episode we've ever had I think people
  3222. 1:56:19are really going to enjoy it but I
  3223. 1:56:21really appreciate you taking all my
  3224. 1:56:22pleasure happy to be here so until the
  3225. 1:56:24next episode of fraud in America if you
  3226. 1:56:26see something say something and when
  3227. 1:56:27that doesn't work make sure you do
  3228. 1:56:29something
  3229. 1:56:31if you believe you have witnessed fraud
  3230. 1:56:33against the government or fraud on the
  3231. 1:56:35financial markets we encourage you to
  3232. 1:56:37visit our website at
  3233. 1:56:40taf.org where you will find a directory
  3234. 1:56:43of member attorneys who represent
  3235. 1:56:45whistleblowers across the country on our
  3236. 1:56:48website you will also find additional
  3237. 1:56:50information about our nation's various
  3238. 1:56:52whistleblower laws and programs and a
  3239. 1:56:54way to donate to our organization as we
  3240. 1:56:57step forward in spreading information
  3241. 1:56:59about whistleblower programs this
  3242. 1:57:01episode was edited and produced by
  3243. 1:57:03Rachel Brooks and our theme song is by
  3244. 1:57:06Connor chaos a big thank you to our Taft
  3245. 1:57:09staff and researchers of James King Emma
  3246. 1:57:13bass Jackie Demar Kate Scanlon Max
  3247. 1:57:16Boldman fraud in America is a project of
  3248. 1:57:19taxpayers against fraud education fund
  3249. 1:57:21the opinions expressed on today's show
  3250. 1:57:24belong solely to the guest and are not
  3251. 1:57:27necessarily endorsed by the organization
  3252. 1:57:29thank you for joining us on today
  3253. 1:57:31today's episode of fraud in America

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