HBM127: QALYs

Diseased kidney cells through a simulated microscope. Kidney cells image from the Cell Image Library. Graphic by Jeff Emtman.

Diseased kidney cells through a simulated microscope. Kidney cells image from the Cell Image Library. Graphic by Jeff Emtman.

 

Most of us want to help.  But it can be hard to know how to do it, and not all altruistic deeds are equal, and sometimes they can be harmful.  Sometimes glitzy charities satisfy the heart of a giver, but fail to deliver results.

That’s the paradox: motivating people to give often demands glitz, but glitzy causes often don’t provide the improvement to people’s lives than their less glamorous charity counterparts.  GiveWell is a organization that quantitatively evaluates charities by the actions they accomplish.  Their current suggestions for effective charities include groups treating malaria, de-worming, and direct cash giving to the poorest people in the world.  These effective charities are able to accomplish more with less resources. 

GiveWell is a part of a philosophical and social movement called Effective Altruism.  EA practitioners look for ways to maximize the effect of donations or other charitable acts by quantifying the impacts of giving.  This approach has been called “robotic” and “elitist” by at least one critic. 

In 2014, a post showed up on effectivealtruism.org’s forum, written by Thomas Kelly and Josh Morrison.  The title sums up their argument well: Kidney donation is a reasonable choice for effective altruists and more should consider it

They lay out the case for helping others through kidney donation.  Kidney disease is a huge killer in the United States, with an estimated one in seven adults having the disease (though many are undiagnosed).  And those with failing kidneys have generally bad health outcomes, with many dying on the waitlist for an organ they never receive.  There’s currently about 100,000 people in the country on the kidney donation waitlist.  An editorial recently published in the Journal of the American Society of Nephrology estimated that 40,000 Americans die annually waiting for a kidney

The previously mentioned post on the EA forums attempts to calculate all the goods that kidney donation can do, namely adding between six and twenty good years to someone’s life.  Quantifying the “goodness” of a year is tricky, so EAs (and others) use a metric called “Quality Adjusted Life Years” or QALYs. 

The post also attempts to calculate the downsides to the donor, namely potential lost wages, potential surgery complications, and a bit of a decrease in total kidney function.  

The post concludes that kidney donation is a “reasonable” choice.  By the EA standards, “reasonable” is pretty high praise; a month or so of suffering to give about a decade of good life to someone else, all with little long term risk to the donor.  

On this episode, Jeff interviews Dylan Matthews, who donated his kidney back in 2016.  His donation was non-directed, meaning he didn’t specify a desired recipient.  This kind of donation is somewhat rare, comprising only about 3% of all kidney donations.  However, non-directed donations are incredibly useful due to the difficulty of matching donors to recipients, since most kidney donors can’t match with the people they’d like to give to. 

When someone needs a kidney transplant, it’s usually a family member that steps up.  However, organ matching is complicated, much moreso than simple blood-type matching. So, long series of organ trades are arranged between donors and recipients.  It’s a very complicated math problem that economist Alvin E. Roth figured out, creating an algorithm for matching series of people together for organ transplants (and also matching students to schools and other complex problems).  This algorithm is so helpful that it won him a nobel prize.

While the problem of matching donors to patients is difficult no matter what, it becomes much easier when a non-directed donor like Dylan can start a chain of donations.  Dylan started a donation chain that ultimately transferred four good kidneys to people in need. And since Dylan’s donation was non-directed, the final recipient on his chain was someone without a family member to offer a kidney in return—someone who otherwise wouldn’t have had a chance to receive a new kidney. 

Dylan speaks about his kidney donation experience to break down something that he sees as a unhelpful misconception: the perception that organ donors must be somehow unusually saintly.  He argues that kidney donation is a normal way to help others, and an option that most can consider.

If you’re interested in kidney donation, Dylan recommends the National Kidney Registry and Waitlist Zero

Dylan Matthews is a senior correspondent at Vox and the host of the podcast Future Perfect.  Jeff found out about Dylan from the podcast Rationally Speaking with Julia Galef

Producer: Jeff Emtman
Editor: Bethany Denton
Music: The Black Spot

 

 

Also on this episode: 

Beth’s looking for help. She’s been thinking about some media she consumed as a kid that no else seems to remember or have even heard of. She’s tried Googling and checked various message boards, but hasn’t had any luck.

Mystery 1: Movie or TV show about time travel
A time traveler, who is an older man, travels to the “future” (which at the time of Beth’s viewing was the mid-1990s.) The Time Traveler is stranded when his time machine breaks, but he is hopeful and friendly, and he ends up enlisting some neighborhood kids to help him find the parts he needs to repair his time machine. Eventually the kids are caught by their parents, who call the authorities. The police confiscate the time machine and take The Time Traveler into custody. As he’s being arrested, the once-jovial Time Traveler is distraught. He cries, “I want to go home, I just want to go home!” over and over.

Mystery 2: Book about evil stepdad space travel
The second is a book. In this book, there’s a family of three or so kids, a mom, and a mean step-dad. The mom dies, and the kids are left with their mean step-dad. They grieve, and the step-dad gets meaner. Then there is an alien that gets into their house, possibly crawling down the chimney. The alien gets into one of the closets, and slowly starts taking over the house. The siblings find the alien in the closet and observe it. There is either a beep, or maybe a flashing light, that is beeping/flashing slowly, but gradually starts beeping/flashing more rapidly. They realize the alien doesn’t want to hurt them, it just needs to use their house to build a spaceship.  The house changes, getting stranger and stranger, and the beeping/flashing gets faster and faster. The kids realize the beep/flash is a timer, and that soon the house will blast off into outer space. Just as the house is about to take off, the siblings lock their mean step-dad in the closet, and he is whisked away in a spaceship that used to be their house.
UPDATE: This one’s been solved by two clever listeners. Thank yous to Gijs Van Straten and Luke Stadther for writing to tell us that this is a short story by Stephen King called The House on Maple Street.

Please call, tweet, or email with any leads.  (765)374-5263, @HBMpodcast, and HBMpodcast@gmail.com respectively. 

 

HBM125: Deepfaking Nixon

Graphic by Jeff Emtman.

Graphic by Jeff Emtman.

 

There’s a beautifully written speech that was never delivered. Written for President Richard Nixon by Bill Safire, the speech elegizes astronauts Buzz Aldrin and Neil Armstrong of Apollo 11, who’d become stuck on the moon, and were left to die there.  In reality, Buzz and Neil made it home safely, but this contingency speech was written anyways, just in case. Sometimes it’s called The Safire Memo and is sometimes called In Event of Moon Disaster.

The latter title share its name with an installation that’s (as of publish date) on display for the first time at IDFA in the Netherlands.  This project by Francesca Panetta and Halsey Burgund explores an alternate past where Aldrin and Armstrong don’t make it home from the moon.  The film portion of the installation heavily features a reading of The Safire Memo by a computer generated version of President Nixon sitting in the Oval Office, reading from notes, making all the familiar facial expressions, sharing the same vocal tics, presidential timbre, and some of the Nixonian je ne sais quoi that makes the fake nearly believable. 

But it’s not Nixon.  And it’s not entirely accurate to say it’s an actor.  It’s a kind of mix of the two, a synthetic Nixon generated by a booming form of artificial intelligence called “deep learning” which creates mathematical models of complex systems, like speech.  Lewis Wheeler  (the actor tasked with providing the voice of Nixon) did not have to imitate Nixon’s voice, only provide a proper pacing an intonation.  From there, the artists hired several companies (including Re-Speecher and Vocal ID) trained a computer model to translate Lewis’s voice into Nixon’s.

 

Excerpt from the installation In Event of Moon Disaster by Francesca Panetta and Halsey Burgund. This video is a deepfake.

In Event of Moon Disaster on display at IDFA in The Netherlands. Photo by Francesca Panetta.

 

This kind of deep-learned fakery (called “deepfakes”) currently usually falls somewhere in the uncanny valley—the tech is good enough to get create a strong impersonation of a voice, but one that sounds still a bit mechanical, or metallic.  This won’t be the case for long though, as more and more convincing deepfake voices emerge with each generation of new code.  

And on the visual front, current video deepfakes are often so good as often pass the gut check of credibility.  This may have been most famously demonstrated in a Buzzfeed article where comedian Jordan Peele impersonates President Obama’s voice and a video deepfake moves his face along with the spoken words.  

With the 2020 presidential elections looming, it seems almost inevitable that deepfakes will enter the media fray that’s meant to discredit political enemies, creating scandals that never happened.  And outside of politics, deepfake pornographers take up the task of swapping pornographic actresses’ faces with those of celebrities or the faces of female journalists they seek to discredit.  

On this episode of Here Be Monsters, Francesca and Halsey tell producer Jeff Emtman that deepfakes aren’t going to rupture society.  We’ve dealt with this before, whether it’s darkroom manipulations or photoshop, societies eventually learn how to detect deception. But the adjustment period can be rough, and they hope that In Event of Moon Disaster will help educate media consumers on the danger of taking media at face value, regardless of whether it’s deepfakes or just old-fashioned photo mis-captioning.

Also on this episode, Ahnjili Zhuparris explains how computers learn to speak, and we listen to some audio examples of how computer voices can fail, using examples from the paper Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis.  Also heard: a presidential  parody deepfake from user Stable Voices on Youtube. 

Producer: Jeff Emtman
Editor: Bethany Denton
Music: The Black Spot