Elizabeth Holmes Through the Director’s Lens
Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.
"The Inventor," a chronicle of Theranos's storied downfall, premiered recently on HBO. Leapsmag reached out to director Alex Gibney, whom The New York Times has called "one of America's most successful and prolific documentary filmmakers," for his perspective on Elizabeth Holmes and the world she inhabited.
Do you think Elizabeth Holmes was a charismatic sociopath from the start — or is she someone who had good intentions, over-promised, and began the lies to keep her business afloat, a "fake it till you make it" entrepreneur like Thomas Edison?
I'm not qualified to say if EH was or is a sociopath. I don't think she started Theranos as a scam whose only purpose was to make money. If she had done so, she surely would have taken more money for herself along the way. I do think that she had good intentions and that she, as you say, "began the lies to keep her business afloat." ([Reporter John] Carreyrou's book points out that those lies began early.) I think that the Edison comparison is instructive for a lot of reasons.
First, Edison was the original "fake-it-till-you-make-it" entrepreneur. That puts this kind of behavior in the mainstream of American business. By saying that, I am NOT endorsing the ethic, just the opposite. As one Enron executive mused about the mendacity there, "Was it fraud or was it bad marketing?" That gives you a sense of how baked-in the "fake it" sensibility is.
"Having a thirst for fame and a noble cause enabled her to think it was OK to lie in service of those goals."
I think EH shares one other thing with Edison, which is a huge ego coupled with a talent for storytelling as long as she is the heroic, larger-than-life main character. It's interesting that EH calls her initial device "Edison." Edison was the world's most famous "inventor," both because of the devices that came out of his shop and and for his ability for "self-invention." As Randall Stross notes in "The Wizard of Menlo Park," he was the first celebrity businessman. In addition to her "good intentions," EH was certainly motivated by fame and glory and many of her lies were in service to those goals.
Having a thirst for fame and a noble cause enabled her to think it was OK to lie in service of those goals. That doesn't excuse the lies. But those noble goals may have allowed EH to excuse them for herself or, more perniciously, to make believe that they weren't lies at all. This is where we get into scary psychological territory.
But rather than thinking of it as freakish, I think it's more productive to think of it as an exaggeration of the way we all lie to others and to ourselves. That's the point of including the Dan Ariely experiment with the dice. In that experiment, most of the subjects cheated more when they thought they were doing it for a good cause. Even more disturbing, that "good cause" allowed them to lie much more effectively because they had come to believe they weren't doing anything wrong. As it turns out, economics isn't a rational practice; it's the practice of rationalizing.
Where EH and Edison differ is that Edison had a firm grip on reality. He knew he could find a way to make the incandescent lightbulb work. There is no evidence that EH was close to making her "Edison" work. But rather than face reality (and possibly adjust her goals) she pretended that her dream was real. That kind of "over-promising" or "bold vision" is one thing when you are making a prototype in the lab. It's a far more serious matter when you are using a deeply flawed system on real patients. EH can tell herself that she had to do that (Walgreens was ready to walk away if she hadn't "gone live") or else Theranos would have run out of money.
But look at the calculation she made: she thought it was worth putting lives at risk in order to make her dream come true. Now we're getting into the realm of the sociopath. But my experience leads me to believe that -- as in the case of the Milgram experiment -- most people don't do terrible things right away, they come to crimes gradually as they become more comfortable with bigger and bigger rationalizations. At Theranos, the more valuable the company became, the bigger grew the lies.
The two whistleblowers come across as courageous heroes, going up against the powerful and intimidating company. The contrast between their youth and lack of power and the old elite backers of Theronos is staggering, and yet justice triumphed. Were the whistleblowers hesitant or afraid to appear in the film, or were they eager to share their stories?
By the time I got to them, they were willing and eager to tell their stories, once I convinced them that I would honor their testimony. In the case of Erika and Tyler, they were nudged to participate by John Carreyrou, in whom they had enormous trust.
"It's simply crazy that no one demanded to see an objective demonstration of the magic box."
Why do you think so many elite veterans of politics and venture capitalism succumbed to Holmes' narrative in the first place, without checking into the details of its technology or financials?
The reasons are all in the film. First, Channing Robertson and many of the old men on her board were clearly charmed by her and maybe attracted to her. They may have rationalized their attraction by convincing themselves it was for a good cause! Second, as Dan Ariely tells us, we all respond to stories -- more than graphs and data -- because they stir us emotionally. EH was a great storyteller. Third, the story of her as a female inventor and entrepreneur in male-dominated Silicon Valley is a tale that they wanted to invest in.
There may have been other factors. EH was very clever about the way she put together an ensemble of credibility. How could Channing Robertson, George Shultz, Henry Kissinger and Jim Mattis all be wrong? And when Walgreens put the Wellness Centers in stores, investors like Rupert Murdoch assumed that Walgreens must have done its due diligence. But they hadn't!
It's simply crazy that no one demanded to see an objective demonstration of the magic box. But that blind faith, as it turns out, is more a part of capitalism than we have been taught.
Do you think that Roger Parloff deserves any blame for the glowing Fortune story on Theranos, since he appears in the film to blame himself? Or was he just one more victim of Theranos's fraud?
He put her on the cover of Fortune so he deserves some blame for the fraud. He still blames himself. That willingness to hold himself to account shows how seriously he takes the job of a journalist. Unlike Elizabeth, Roger has the honesty and moral integrity to admit that he made a mistake. He owned up to it and published a mea culpa. That said, Roger was also a victim because Elizabeth lied to him.
Do you think investors in Silicon Valley, with their FOMO attitudes and deep pockets, are vulnerable to making the same mistake again with a shiny new startup, or has this saga been a sober reminder to do their due diligence first?
Many of the mistakes made with Theranos were the same mistakes made with Enron. We must learn to recognize that we are, by nature, trusting souls. Knowing that should lead us to a guiding slogan: "trust but verify."
The irony of Holmes dancing to "I Can't Touch This" is almost too perfect. How did you find that footage?
It was leaked to us.
"Elizabeth Holmes is now famous for her fraud. Who better to host the re-boot of 'The Apprentice.'"
Holmes is facing up to 20 years in prison for federal fraud charges, but Vanity Fair recently reported that she is seeking redemption, taking meetings with filmmakers for a possible documentary to share her "real" story. What do you think will become of Holmes in the long run?
It's usually a mistake to handicap a trial. My guess is that she will be convicted and do some prison time. But maybe she can convince jurors -- the way she convinced journalists, her board, and her investors -- that, on account of her noble intentions, she deserves to be found not guilty. "Somewhere, over the rainbow…"
After the trial, and possibly prison, I'm sure that EH will use her supporters (like Tim Draper) to find a way to use the virtual currency of her celebrity to rebrand herself and launch something new. Fitzgerald famously said that "there are no second acts in American lives." That may be the stupidest thing he ever said.
Donald Trump failed at virtually every business he ever embarked on. But he became a celebrity for being a fake businessman and used that celebrity -- and phony expertise -- to become president of the United States. Elizabeth Holmes is now famous for her fraud. Who better to host the re-boot of "The Apprentice." And then?
"You Can't Touch This!"
Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.
Story by Big Think
For most of history, artificial intelligence (AI) has been relegated almost entirely to the realm of science fiction. Then, in late 2022, it burst into reality — seemingly out of nowhere — with the popular launch of ChatGPT, the generative AI chatbot that solves tricky problems, designs rockets, has deep conversations with users, and even aces the Bar exam.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
Opioid prescription policies may hurt those in chronic pain
Tinu Abayomi-Paul works as a writer and activist, plus one unwanted job: Trying to fill her opioid prescription. She says that some pharmacists laugh and tell her that no one needs the amount of pain medication that she is seeking. Another pharmacist near her home in Venus, Tex., refused to fill more than seven days of a 30-day prescription.
To get a new prescription—partially filled opioid prescriptions can’t be dispensed later—Abayomi-Paul needed to return to her doctor’s office. But without her medication, she was having too much pain to travel there, much less return to the pharmacy. She rationed out the pills over several weeks, an agonizing compromise that left her unable to work, interact with her children, sleep restfully, or leave the house. “Don’t I deserve to do more than survive?” she says.
Abayomi-Paul’s pain results from a degenerative spine disorder, chronic lymphocytic leukemia, and more than a dozen other diagnoses and disabilities. She is part of a growing group of people with chronic pain who have been negatively impacted by the fallout from efforts to prevent opioid overdose deaths.
Guidelines for dispensing these pills are complicated because many opioids, like codeine, oxycodone, and morphine, are prescribed legally for pain. Yet, deaths from opioids have increased rapidly since 1999 and become a national emergency. Many of them, such as heroin, are used illegally. The CDC identified three surges in opioid use: an increase in opioid prescriptions in the ‘90s, a surge of heroin around 2010, and an influx of fentanyl and other powerful synthetic opioids in 2013.
As overdose deaths grew, so did public calls to address them, prompting the CDC to change its prescription guidelines in 2016. The new guidelines suggested limiting medication for acute pain to a seven-day supply, capping daily doses of morphine, and other restrictions. Some statistics suggest that these policies have worked; from 2016 to 2019, prescriptions for opiates fell 44 percent. Physicians also started progressively lowering opioid doses for patients, a practice called tapering. A study tracking nearly 100,000 Medicare subscribers on opioids found that about 13 percent of patients were tapering in 2012, and that number increased to about 23 percent by 2017.
But some physicians may be too aggressive with this tapering strategy. About one in four people had doses reduced by more than 10 percent per week, a rate faster than the CDC recommends. The approach left people like Abayomi-Paul without the medication they needed. Every year, Abayomi-Paul says, her prescriptions are harder to fill. David Brushwood, a pharmacy professor who specializes in policy and outcomes at the University of Florida in Gainesville, says opioid dosing isn’t one-size-fits-all. “Patients need to be taken care of individually, not based on what some government agency says they need,” he says.
‘This is not survivable’
Health policy and disability rights attorney Erin Gilmer advocated for people with pain, using her own experience with chronic pain and a host of medical conditions as a guidepost. She launched an advocacy website, Healthcare as a Human Right, and shared her struggles on Twitter: “This pain is more than anything I've endured before and I've already been through too much. Yet because it's not simply identified no one believes it's as bad as it is. This is not survivable.”
When her pain dramatically worsened midway through 2021, Gilmer’s posts grew ominous: “I keep thinking it can't possibly get worse but somehow every day is worse than the last.”
The CDC revised its guidelines in 2022 after criticisms that people with chronic pain were being undertreated, enduring dangerous withdrawal symptoms, and suffering psychological distress. (Long-term opioid use can cause physical dependency, an adaptive reaction that is different than the compulsive misuse associated with a substance use disorder.) It was too late for Gilmer. On July 7, 2021, the 38-year-old died by suicide.
Last August, an Ohio district court ruling set forth a new requirement for Walgreens, Walmart, and CVS pharmacists in two counties. These pharmacists must now document opioid prescriptions that are turned down, even for customers who have no previous purchases at that pharmacy, and they’re required to share this information with other locations in the same chain. None of the three pharmacies responded to an interview request from Leaps.org.
In a practice called red flagging, pharmacists may label a prescription suspicious for a variety of reasons, such as if a pharmacist observes an unusually high dose, a long distance from the patient’s home to the pharmacy, or cash payment. Pharmacists may question patients or prescribers to resolve red flags but, regardless of the explanation, they’re free to refuse to fill a prescription.
As the risk of litigation has grown, so has finger-pointing, says Seth Whitelaw, a compliance consultant at Whitelaw Compliance Group in West Chester, PA, who advises drug, medical device, and biotech companies. Drugmakers accused in National Prescription Opioid Litigation (NPOL), a complex set of thousands of cases on opioid epidemic deaths, which includes the Ohio district case, have argued that they shouldn’t be responsible for the large supply of opiates and overdose deaths. Yet, prosecutors alleged that these pharmaceutical companies hid addiction and overdose risks when labeling opioids, while distributors and pharmacists failed to identify suspicious orders or scripts.
Patients and pharmacists fear red flags
The requirements that pharmacists document prescriptions they refuse to fill so far only apply to two counties in Ohio. But Brushwood fears they will spread because of this precedent, and because there’s no way for pharmacists to predict what new legislation is on the way. “There is no definition of a red flag, there are no lists of red flags. There is no instruction on what to do when a red flag is detected. There’s no guidance on how to document red flags. It is a standardless responsibility,” Brushwood says. This adds trepidation for pharmacists—and more hoops to jump through for patients.
“I went into the doctor one day here and she said, ‘I'm going to stop prescribing opioids to all my patients effective immediately,” Nicolson says.
“We now have about a dozen studies that show that actually ripping somebody off their medication increases their risk of overdose and suicide by three to five times, destabilizes their health and mental health, often requires some hospitalization or emergency care, and can cause heart attacks,” says Kate Nicolson, founder of the National Pain Advocacy Center based in Boulder, Colorado. “It can kill people.” Nicolson was in pain for decades due to a surgical injury to the nerves leading to her spinal cord before surgeries fixed the problem.
Another issue is that primary care offices may view opioid use as a reason to turn down new patients. In a 2021 study, secret shoppers called primary care clinics in nine states, identifying themselves as long-term opioid users. When callers said their opioids were discontinued because their former physician retired, as opposed to an unspecified reason, they were more likely to be offered an appointment. Even so, more than 40 percent were refused an appointment. The study authors say their findings suggest that some physicians may try to avoid treating people who use opioids.
Abayomi-Paul says red flagging has changed how she fills prescriptions. “Once I go to one place, I try to [continue] going to that same place because of the amount of records that I have and making sure my medications don’t conflict,” Abayomi-Paul says.
Nicolson moved to Colorado from Washington D.C. in 2015, before the CDC issued its 2016 guidelines. When the guidelines came out, she found the change to be shockingly abrupt. “I went into the doctor one day here and she said, ‘I'm going to stop prescribing opioids to all my patients effective immediately.’” Since then, she’s spoken with dozens of patients who have been red-flagged or simply haven’t been able to access pain medication.
Despite her expertise, Nicolson isn’t positive she could successfully fill an opioid prescription today even if she needed one. At this point, she’s not sure exactly what various pharmacies would view as a red flag. And she’s not confident that these red flags even work. “You can have very legitimate reasons for being 50 miles away or having to go to multiple pharmacies, given that there are drug shortages now, as well as someone refusing to fill [a prescription.] It doesn't mean that you’re necessarily ‘drug seeking.’”
While there’s no easy solution. Whitelaw says clarifying the role of pharmacists and physicians in patient access to opioids could help people get the medication they need. He is seeking policy changes that focus on the needs of people in pain more than the number of prescriptions filled. He also advocates standardizing the definition of red flags and procedures for resolving them. Still, there will never be a single policy that can be applied to all people, explains Brushwood, the University of Florida professor. “You have to make a decision about each individual prescription.”