2023 is the tenth year of sharing my reading list. (The blog is also turning 15(!). I am…aging.
Here are the prior years: 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, and 2014.
2023 is the tenth year of sharing my reading list. (The blog is also turning 15(!). I am…aging.
Here are the prior years: 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, and 2014.
In honor of the late great Charlie Munger, Stripe Press has his popular book (mental models, decision-making, stuff like this) available for free online in both a well-formatted browser-based ebook and audiobook formats: Poor Charlie’s Almanack: The Essential Wit and Wisdom of Charles T. Munger
From the free ebook A Manifesto for Applying Behavioral Science from the UK’s Behavioural Insights Team:
The other concern is that [behavorial science] theories can make specific predictions, but they are disconnected from each other – and from a deeper, general framework that can provide broader explanations (like evolutionary theory, for example). The main way this issue affects behavioral science is through heuristics and biases. Examples of individual biases are accessible, popular, and how many people first encounter behavioral science. These ideas are incredibly useful, but have often been presented as lists of standalone curiosities, in a way that is incoherent, reductive, and deadening. They can create overconfident thinking that targeting a specific bias (in isolation) will achieve a certain outcome.
Cognitive biases and mental models make for great blog posts but are really hard to put into practice as an individual or effectively guide policy as an organization.
For further reading, try Nudge (the new/final edition was just released in 2021).
From Tanner Greer’s The Scholar’s Stage:
The professionalization of intellectual pursuit is another problem. Melville would never have written Moby Dick if he had spent years enrolled in an MFA program instead of spending years at sea. Men and women who in past ages would have observed humanity up close (or at least who would have been forced through a broad but rigorous education in classics) instead cloister themselves in ivory towers. Their intellectual energy is channeled into ever more specialized academic fields and cautiously climbing a bureaucratic and over-managed academic ladder. Could that social scene ever produce a great work?
2. Being enthusiastic is worth 25 IQ points.
12. Pros are just amateurs who know how to gracefully recover from their mistakes.
These gems from the original 68 bits of unsolicited advice have joined more of Kevin Kelly’s wisdom in a new book containing 450.
The late Hans Rosling gave an amazingly popular TED talk back in 2006 (and many other popular talks since). You may have seen it. It’s the one showing recent human progress by following counties over time as a series of bubbles. It’s not all rosy, but it shows us how counterintuitive reality can be compared with our usually grimmer assumptions. One could summarize: things can be bad but still be improving. Trajectories matter.
In his follow-up book, Factfulness, Rosling discusses the fact that almost all “news” by definition is bad news. His helpful grounding suggestion: When you hear bad news, ask yourself if similar good news would be able to reach you.
* * *
In healthcare, M&M is full of bad outcomes. Do you hear about the patients who recover uneventfully in the hospital? Not really. Do people gossip about the patients who go home after surgery with well-healed incisions? No, they do not. As a radiologist, I only hear about my misses. About once a year, someone congratulates me on a good catch, and usually, that’s coming from another radiologist who read the follow-up.
As an attending evaluating my residents’ overnight work, I have to grade every change. We have grades for verbiage changes, incidental additions, small relevant misses, and big emergent misses. There’s nothing forcing me to tell my residents that I recognize the great job they’re doing tackling a large volume of complex cases. Most of what they see is negative feedback, even though that parade of bad news doesn’t really tell them an accurate story about the work they’re doing.
When I was a resident, my program had a separate grade for doing an amazing job. You could receive a coveted “1” on the 1-4 scale for crushing a subtle case, performing at a subspecialty level, etc. 1’s were rare.
One evening as I logged in for another shift, I was reviewing my grades from the night before and I saw I’d received a 1. Exhaustion aside, I was always excited when I earned a 1. The comment said, “Everyone deserves a 1 every now and again, so here’s yours.” I didn’t know how to parse that cryptic statement, so I clicked on the link to see the case.
It was a completely normal head CT in a young patient.
I hadn’t changed a word of the template.
* * *
We learn medicine through the slow accumulation of emotional microtrauma. As an educator, it takes special effort to try to really teach through praise and positive reinforcement; usually the vague “great jobs” show up on end-of-rotation evaluations. I’ll be the first to admit I can be too far on the pedantic curmudgeon spectrum.
Yes, feedback—even negative feedback—is a critical component of the learning process. But, when you’re beating yourself up about your mistakes and questioning your skills/growth, you also need to ask yourself:
What are the odds that I’m receiving the true positive side of the same coin?
The answer is you’re probably not.
Things can be bad and still be improving. Trajectories matter.
You can have a lot to learn and a long way to go and still be doing a great job.
Highlights from Build: An Unorthodox Guide to Making Things Worth Making by Tony Fadell (who led the teams for the iPod, iPhone, and Nest Learning Thermostat):
On the need to divide decisions into two main camps, data-driven or opinion-driven:
Data-driven: You can acquire, study, and debate facts and numbers that will allow you to be fairly confident in your choice. These decisions are relatively easy to make and defend and most people on the team can agree on the answer.
Opinion-driven: You have to follow your gut and your vision for what you want to do, without the benefit of sufficient data to guide you or back you up. These decisions are always hard and always questioned-after all, everyone has an opinion.
Every decision has elements of data and opinion, but they are ultimately driven by one or the other. Sometimes you have to double down on the data; other times you have to look at all the data and then trust your gut. And trusting your gut is incredibly scary. Many people don’t have either a good gut instinct to follow or the faith in themselves to follow it. It takes time to develop that trust. So they try to turn an opinion-driven business decision into a data-driven one. But data can’t solve an opinion-based problem. So no matter how much data you get, it will always be inconclusive. This leads to analysis paralysis-death by overthinking.
“Data can’t solve an opinion-based problem” is a core problem of the universe.
And the problems are worse when you can find a way to shirk responsibility for making those decisions:
But we fell into the same trap as everyone else. We were wowed by the consultants, excited by the numbers. And we quickly became far too reliant on them: everyone wanted data so they wouldn’t have to make decisions themselves. Instead of moving forward with a design, you’d hear, “Well, let’s just test it.” Nobody wanted to take responsibility for what they were making.
So you’d run the test. And then run it again. On Monday the customer panel would pick option X. On Friday, the same group would go with option Y. Meanwhile, we were paying millions of dollars to consultants who took a month and a half to put their own slant on everything.
The data wasn’t a guide. At best, it was a crutch. At worst, cement shoes. It was analysis paralysis.
“Design by committee” is an adjunct to the crutch of data, where there is no vision for the product and no responsibility for the outcome. I see this in medical schools, residency programs, and medical centers of all varieties. So many meetings to discuss so many dashboards. The analytic tools have become robust, so we are awash in numbers and react by massaging our processes to push various metrics in the right direction, often with no regard to second-order effects.
We so often seem locked into a rearranging deck chair approach to problem-solving instead of designing from first principles to make better products and achieve better outcomes.
On being a doofus:
I remember we had a huge all-hands meeting at Apple once these meetings would only happen two, maybe three times a year. And a guy stands up during the Q&A and starts asking Steve Jobs why he didn’t get a raise or a good review. Steve looks at him in stunned disbelief and says, “I can tell you why. Because you’re asking this question in front of ten thousand people.”
On quitting:
Anyone who’s ever stuck with a job they hated knows the feeling.
Every meeting, every pointless project, every hour stretches on and on. You don’t respect your manager, you roll your eyes at the mission, you stagger out the door at the end of the day exhausted, dragging yourself home to complain to family and friends until they’re as miserable as you are. It is time and energy and health and joy that disappear from your life forever. But hey, that title, that stature, that money it’s worth it all, right?
(He’s asking a rhetorical question.)
The threat of leaving may be enough to push your company to get serious and make whatever change you’re asking for. But it might not. Quitting should never be a negotiating tactic. It should be the very last card you play.
So before you quit, you’d better have a story. A good, credible, and factual one. You’ll need to have a rationale for why you left.
And you’ll need one for why you want to join whatever company you’re heading to next. These should be two very different narratives. You’ll need them for the interview, but also for yourself to make sure you’ve really thought things through. And to make sure you’re making the right choice for the next job.
The last part I think is sometimes underappreciated. You don’t just quit from something. Until you retire, you’re also quitting to something.
I wrote a brief article last year on evaluating jobs, where I referenced a 2020 study that showed 41% of radiologists had changed jobs in the past 4 years. I bet it’s even higher now given the current market. Lots of folks are quitting. The question is, are they learning from their experiences?
On the benefits of integrating old and young people:
The best teams are multigenerational Nest employed twenty-year-olds and seventy-year-olds. Experienced people have a wealth of wisdom that they can pass on to the next generation and young people can push back against long-held assumptions. They can often see the opportunity that lies in accomplishing difficult things, while experienced people see only the difficulty.
The generational conflict is real, and it’s often amazing to see in person how easily both groups generously weigh only their own strengths.
Summarized from the epilogue of Humankind: A Hopeful History by Rutger Bregman, itself a pretty compelling read that summarizes the real world flaws and scholarship foibles of most negative philosophical and psychological research about man’s beastly nature (e.g. Machiavelli, Lord of the Flies, the Stanford Prison Experiment, etc) and instead argues that we are, on the whole, decent.
No. 1: When in doubt, assume the best
No. 2: Think in win-win scenarios
No. 3: Ask more questions
No. 4: Temper your empathy, train your compassion
No. 5: Try to understand the other, even if you don’t get where they are coming from.
No. 6: Love your own as others love their own.
No. 7: Avoid the news
No. 8: Don’t punch Nazis
No. 9: Come out of the closet: Don’t be ashamed to do good
No. 10: Be realistic
“Don’t punch Nazis” absolutely requires some context/explanation, but I don’t want the ruin the great story it derives from.
2022 was the ninth(!) year that I’ve kept track of my book consumption. I’m still trying to get better at capturing even just some brief thoughts/impressions about what I read (especially the fiction, which sometimes fades from memory almost as fast as I can read it). I still read most of my nonfiction on my Kindle (or on the kindle app on my phone) because of the very handy highlight feature. A fraction of those highlights typically then find their way into my digital brain archive and some eventually become posts on this very site.
Prior years here: 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014.
My son is getting older, so in addition to me reading to him, he also now reads a ton to himself, and sometimes I read a book or two in the series he’s currently enjoying or to introduce him to a new one:
From The Lion Tracker’s Guide To Life by Boyd Varty:
You must train yourself to see what you are looking for.
Perhaps the most concise description of radiology training.
“I don’t know where we are going but I know exactly how to get there,” he says.
Process > outcome.
I think of all the people I have spoken to who have said, “When I know exactly what the next thing is, I will make a move.” I think of all the people whom I have taught to track who froze when they lost the track, wanting to be certain of the right path forward before they would move. Trackers try things. The tracker on a lost track enters a process of rediscovery that is fluid. He relies on a process of elimination, inquiry, confirmation; a process of discovery and feedback. He enters a ritual of focused attention. As paradoxical as it sounds, going down a path and not finding a track is part of finding the track.
Uncertainty is part of life, but a search pattern helps.