Erika Cheung: Theranos, whistleblowing and speaking truth to power | TED

1,147,888 views ・ 2020-11-26

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Transcriber: Joseph Geni Reviewer: Krystian Aparta
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So, I had graduated seven years ago from Berkeley
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with a dual degree in molecular and cell biology and linguistics,
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and I had gone to a career fair here on campus,
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where I'd gotten an interview with a start-up called Theranos.
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And at the time,
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there wasn't really that much information about the company,
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but the little that was there was really impressive.
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Essentially, what the company was doing was creating a medical device
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where you would be able to run your entire blood panel
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on a finger-stick of blood.
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So you wouldn't have to get a big needle stuck in your arm
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in order to get your blood test done.
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So this was interesting not only because it was less painful,
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but also, it could potentially open the door to predictive diagnostics.
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If you had a device
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that allowed for more frequent and continuous diagnosis,
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potentially, you could diagnose disease before someone got sick.
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And this was confirmed in an interview that the founder, Elizabeth Holmes,
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had said in the Wall Street Journal.
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"The reality within our health-care system today
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is that when someone you care about gets really sick,
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by the time you find out it's [most often] too late
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to do anything about it,
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It's heartbreaking."
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This was a moon shot that I really wanted to be a part of
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and I really wanted to help build.
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And there was another reason why I think the story of Elizabeth
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really appealed to me.
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So there was a time that someone had said to me,
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"Erika, there are two types of people.
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There are those that thrive and those that survive.
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And you, my dear, are a survivor."
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Before I went to university,
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I had grown up in a one-bedroom trailer with my six family members,
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and when I told people I wanted to go to Berkeley,
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they would say, "Well, I want to be an astronaut, so good luck."
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And I stuck with it, and I worked hard, and I managed to get in.
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But honestly, my first year was very challenging.
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I was the victim of a series of crimes.
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I was robbed at gunpoint, I was sexually assaulted,
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and I was sexually assaulted a third time,
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spurring on very severe panic attacks,
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where I was failing my classes,
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and I dropped out of school.
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And at this moment, people had said to me,
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"Erika, maybe you're not cut out for the sciences.
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Maybe you should reconsider doing something else."
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And I told myself, "You know what?
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If I don't make the cut, I don't make the cut,
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but I cannot give up on myself, and I'm going to go for this,
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and even if I'm not the best for it, I'm going to try and make it happen."
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And luckily, I stuck with it, and I got the degree, and I graduated.
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(Applause and cheers)
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Thank you.
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(Applause)
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So when I heard Elizabeth Holmes had dropped out of Stanford at age 19
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to start this company,
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and it was being quite successful,
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to me, it was a signal
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of, you know, it didn't matter what your background was.
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As long as you committed to hard work and intelligence,
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that was enough to make an impact in the world.
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And this was something, for me, personally,
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that I had to believe in my life,
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because it was one of the few anchors that I had had
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that got me through the day.
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So you can imagine,
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when I received this letter, I was so excited.
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I was over the moon.
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This was finally my opportunity to contribute to society,
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to solve the problems that I had seen in the world,
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and really, when I thought about Theranos,
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I really anticipated that this would be the first
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and the last company that I was going to work for.
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But I started to notice some problems.
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So, I started off as an entry-level associate in the lab.
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And we would be sitting in a lab meeting,
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reviewing data to confirm whether the technology worked or not,
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and we'd get datasets like this,
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and someone would say to me,
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"Well, let's get rid of the outlier
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and see how that affects the accuracy rate."
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So what constitutes an outlier here?
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Which one is the outlier?
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And the answer is, you have no idea.
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You don't know. Right?
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And deleting a data point
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is really violating one of the things that I found so beautiful
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about the scientific process --
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it really allows the data to reveal the truth to you.
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And as tempting as it might be in certain scenarios
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to place your story on the data to confirm your own narrative,
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when you do this, it has really bad future consequences.
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So this, to me, was almost immediately a red flag,
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and it kind of folded in to the next experience
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and the next red flag
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that I started to see within the clinical laboratory.
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So a clinical laboratory
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is where you actively process patient samples.
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And so before I would run a patient's sample,
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I would have a sample where I knew what the concentration was,
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and in this case, it was 0.2 for tPSA,
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which is an indicator of whether someone has prostate cancer,
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or is at risk of prostate cancer or not.
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But then, when I'd run it in the Theranos device,
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it would come out 8.9,
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and then I'd run it again, and it would run out 5.1,
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and I would run it again, and it would come out 0.5,
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which is technically in range,
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but what do you do in this scenario?
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What is the accurate answer?
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And this wasn't an instance that I was seeing just one-off.
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This was happening nearly every day,
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across so many different tests.
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And mind you, this is for a sample where I know what the concentration is.
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What happens when I don't know what the concentration is,
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like with a patient sample?
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How am I supposed to trust what the result is, at that point?
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So this led to, sort of, the last and final red flag for me,
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and this is when we were doing testing,
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in order to confirm and certify
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whether we could continue processing patient samples.
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So what regulators will do is they'll give you a sample,
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and they'll say, "Run this sample,
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just like the quality control, through your normal workflow,
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how you normally test on patients,
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and then give us the results,
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and we will tell you: do you pass, or do you fail."
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So because we were seeing so many issues with the Theranos device
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that was actively being used to test on patients,
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what we had done is we had taken the sample
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and we had run it through an FDA-approved machine
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and we had run it through the Theranos device.
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And guess what happened?
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We got two very, very different results.
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So what do you think they did in this scenario?
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You would anticipate that you would tell the regulators,
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like, "We have some discrepancies here with this new technology."
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But instead, Theranos had sent the result of the FDA-approved machine.
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So what does this signal to you?
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This signals to you that even within your own organization,
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you don't trust the results that your technology is producing.
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So how do we have any business running patient samples
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on this particular machine?
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So of course, you know, I am a recent grad,
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I have, at this point, run all these different experiments,
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I've compiled all this evidence, and I'd gone into the office of the COO
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and I was raising my concerns.
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"Within the lab, we're seeing a lot of variability.
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The accuracy rate doesn't seem right.
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I don't feel right about testing on patients.
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These things, I'm just not comfortable with."
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And the response I got back is,
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"You don't know what you're talking about."
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What you need to do is what I'm paying you to do,
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and you need to process patient samples."
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So that night, I called up a colleague of mine
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who I had befriended within the organization, Tyler Shultz,
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who also happened to have a grandfather who was on the Board of Directors.
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And so we had decided to go to his grandfather's house
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and tell him, at dinner,
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what the company was telling him was going on
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was actually not what was happening behind closed doors.
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And not to mention,
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Tyler's grandfather was George Schultz,
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the ex-secretary of state of the United States.
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So you can imagine me as a 20-something-year-old
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just shaking, like, "What are you getting yourself into?"
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But we had sat down at his dinner table and said,
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"When you think that they've taken this blood sample
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and they put it in this device, and it pops out a result,
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what's really happening is the moment you step outside of the room,
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they take that blood sample, they run it to a back door,
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and there are five people on standby that are taking this tiny blood sample
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and splitting it amongst five different machines."
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And he says to us, "I know Tyler's very smart,
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you seem very smart,
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but the fact of the matter is I've brought in a wealth of intelligent people,
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and they tell me that this device is going to revolutionize health care.
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And so maybe you should consider doing something else."
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So this had gone through a period of about seven months,
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and I decided to quit that very next day.
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And this --
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(Applause and cheers)
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But this was a moment that I had to sit with myself
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and do a bit of a mental health check.
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I'd raised concerns in the lab.
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I'd raised concerns with the COO.
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I had raised concerns with a board member.
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And meanwhile,
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Elizabeth is on the cover of every major magazine across America.
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So there's one common thread here,
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and that's me.
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Maybe I'm the problem?
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Maybe there's something that I'm not seeing?
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Maybe I'm the crazy one.
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And this is the part in my story where I really get lucky.
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I was approached
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by a very talented journalist, John Carreyrou
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from the Wall Street Journal, and he --
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And he had basically said that he also had heard concerns
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about the company from other people in the industry
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and working for the company.
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And in that moment, it clicked in my head:
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"Erika, you are not crazy.
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You're not the crazy one.
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In fact, there are other people out there just like you
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that are just as scared of coming forward,
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but see the same problems and the same concerns that you do."
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So before John's exposé and investigative report had come out
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to reveal the truth of what was going on in the company,
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the company decided to go on a witch hunt for all sorts of former employees,
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myself included,
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to basically intimidate us from coming forward or talking to one another.
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And the scary thing, really, for me in this instance
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was the fact that it triggered,
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and I realized that they were following me once I received this letter,
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but it was also, in a way, a bit of a blessing,
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because it forced me to call a lawyer.
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And I was lucky enough -- I called a free lawyer,
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but he had suggested,
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"Why don't you report to a regulatory agency?"
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And this was something that didn't even click in my head,
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probably because I was so inexperienced,
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but once that happened, that's exactly what I did.
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I had decided to write a letter, and a complaint letter, to regulators,
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illustrating all the deficiencies and the problems that I had seen
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in the laboratory.
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And as endearingly as my dad kind of notes this
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as being my, like, dragon-slayer moment,
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where I had risen up and fought this behemoth
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and it caused this domino effect,
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I can tell you right now,
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I felt anything but courageous.
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I was scared, I was terrified,
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I was anxious,
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I was ashamed, slightly,
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that it took me a month to write the letter.
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There was a glimmer of hope in there
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that maybe somehow no one would ever figure out
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that it was me.
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But despite all that emotion and all that volatility,
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I still did it,
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and luckily, it triggered an investigation
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that shown to light
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that there were huge deficiencies in the lab,
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and it stopped Theranos from processing patient samples.
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(Applause)
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So you would hope, going through a very challenging
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and crazy situation like this,
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that I would be able to sort of culminate some how-tos
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or recipe for success for other people that are in this situation.
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But frankly, when it comes to situations like this,
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the only quote that kind of gets it right is this Mike Tyson quote that says,
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"Everyone has a plan until you get punched in the mouth."
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(Laughter)
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And that's exactly how this is.
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But today, you know,
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we're here to kind of convene on moon shots,
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and moon shots are these highly innovative projects
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that are very ambitious,
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that everyone wants to believe in.
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But what happens when the vision is so compelling
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and the desire to believe is so strong
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that it starts to cloud your judgment about what reality is?
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And particularly when these innovative projects
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start to be a detriment to society,
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what are the mechanisms in place
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in which we can prevent these potential consequences?
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And really, in my mind, the simplest way to do that
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is to foster stronger cultures of people who speak up
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and listening to those who speak up.
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So now the big question is,
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how do we make speaking up the norm and not the exception?
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(Applause and cheers)
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So luckily, in my own experience,
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I realized that when it comes to speaking up,
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the action tends to be pretty straightforward in most cases,
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but the hard part is really deciding whether to act or not.
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So how do we frame our decisions
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in a way that makes it easier for us to act
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and produce more ethical outcomes?
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So UC San Diego came up with this excellent framework
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called the "Three Cs,"
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and it's called commitment, consciousness and competency.
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And commitment is the desire to do the right thing
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regardless of the cost.
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In my case at Theranos,
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if I was wrong,
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I was going to have to pay the consequences.
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But if I was right,
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the fact that I could have been a person
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that knew what was going on and didn't say something,
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that was purgatory.
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Being silent was purgatory.
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Then there's consciousness,
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the awareness to act consistently and apply moral convictions
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to daily behavior,
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behavior.
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And the third aspect is competency.
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And competency is the ability to collect and evaluate information
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and foresee potential consequences and risk.
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And the reason I could trust my competency
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was because I was acting in service of others.
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So I think a simple process is really taking those actions
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and imagining,
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"If this happened to my children,
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to my parents,
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to my spouse,
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to my neighbors, to my community,
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if I took that ...
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How will it be remembered?"
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And with that,
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I hope, as we all leave here
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and venture off to build our own moon shots,
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we don't just conceptualize them,
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in a way, as a means for people to survive
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but really see them as opportunities and chances for everybody to thrive.
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Thank you.
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(Applause and cheers)
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About this website

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