The Long Game 92: Managing People, Surrogate Endpoints, Complaining, Heuristics
π¦ Drone Delivery, Good Climate News, Writing, North Pole, TikTok & Teens, AskAnything, and Much More!
Hi there, itβs Mehdi Yacoubi, co-founder at Vital, and this is The Long Game Newsletter. To receive it in your inbox each week, subscribe here:
In this episode, we explore:
The problem with surrogate endpoints
Complaining makes things worse
Managing people
Heuristics that almost always work
Drone delivery
TikTok
Letβs dive in!
π₯ Health
π― The Problem of Surrogate Endpoints
I came across this excellent thread, and it encapsulates something that happens even outside of machine learning research. This is the problem of optimizing for a model rather than for reality.
In health research, itβs widespread. We learn how a mechanism works, and we get a good idea of which levers can be pulled to improve an endpoint, and we consider that the improvement of the endpoint naturally makes us βhealthier.β
This phenomenon was described at length in the context of cancer research and therapies by Vinayak K. Prasad in Malignant: How Bad Policy and Bad Evidence Harm People with Cancer. He shows how big pharma manages to get drugs approved that improve surrogate endpoints (an indicator or sign used in place of another to tell if a treatment works) but, for the most part, arenβt really increasing the quality-adjusted life-year of the patients.
βIn an analysis of 71 drugs consecutively approved between 2002 and 2014 for solid cancers, the median improvement in survival was just 2.1 months.β
The solutions he provides are numerous, but the general idea is that the hypotheses should be tested in randomized controlled trials that target the actual outcome weβre looking for (more years in good health) rather than the improvement of a surrogate endpoint.
This is a fundamental challenge because it determines how scientists and companies work. If the efforts are engaged in a process thatβs not reliable, weβre wasting time and money while not improving health outcomes.
Pair with: Vinay Prasad, M.D., M.P.H: Hallmarks of successful cancer policy
Other noteworthy news π
π± Wellness
π« Complaining Really Does Make Things Worse
I must admit that I was delighted to find this research paper explaining that complaining does make things worse. I try to stay away from complaining as much as possible, and now we have new research demonstrating why itβs important:
Affective events theory (AET) argues that everyday negative events are likely to lower both daily work engagement and momentary positive affect. These problems can then persist on subsequent days.
However, AET also argues that individual strategies can diminish the ill effects of negative events.
We explicitly focused on good sportsmanship or abstaining from unnecessary complaints and criticism as a possible moderator of the effects of daily negative work events on daily work engagement and positive affect.
We tested this possibility with a 3-day diary study among 112 employees. As expected, we found that daily negative events lowered daily engagement and momentary positive affect for two consecutive days.
However, this effect only held on days that people exhibited low sportsmanship. For days that people exhibited high sportsmanship, there were no significant effects.
Creating a resource rich work environment that enhances individualsβ sportsmanship behaviour can help to minimize the unfavourable impact of daily negative events.
Bottom line: stop complaining. It will make your life better!
π§ Better Thinking
π΄ Heuristics That Are Almost Always Right
Thereβs no one better than Slate Star Codex to explain why relying on experts who follow heuristics can be so dangerous.
The Futurist
He comments on the latest breathless press releases from tech companies. This will change everything! say the press releases. βNo it wonβtβ, he comments. This is the greatest invention ever to exist! say the press releases. βItβs a scam,β he says.
Whatever upheaval is predicted, he denies it. Soon weβll all have flying cars! βOur cars will remain earthbound as alwaysβ. Soon weβll all use cryptocurrency! βWeβll continue using dollars and Visa cards, just like before.β Weβre collapsing into dictatorship! βNo, weβll be the same boring oligarchic pseudo-democracy we are nowβ A new utopian age of citizen governance will flourish. βYouβre drunk, go back to bed.β
When all the Brier scores are calculated and all the Bayes points added up, he is the best futurist of all. Everyone else occasionally gets bamboozled by some scam or hype train, but he never does. His heuristic is truly superb.
But - say it with me - he could be profitably replaced with a rock. βNOTHING EVER CHANGES OR IS INTERESTINGβ, says the rock, in letters chiseled into its surface. Why hire a squishy drooling human being, when this beautiful glittering rock is right there?
Heuristics that almost always work are dangerous because people stop being sharp and stop paying attention. Most viruses donβt cause global pandemics, most new technologies donβt change the world, most physical pain isnβt serious, most UFO sightings are not legitβ¦
These things are true, but the rare times theyβre false, they cause a tremendous impact on the world, the person, etc.
Sometimes thereβs a Heuristic That Almost Always Works, like βthis technology wonβt change everythingβ or βthere wonβt be a hurricane tomorrowβ.
And sometimes the rare exceptions are so important to spot that we charge experts with the task. But the heuristics are so hard to beat that the experts themselves might be tempted to secretly rely on them, while publicly pretending to use more subtle forms of expertise. βMy statistical model, accounting for chaos theory, barometric pressure, and the price of tea in China, says there wonβt be a hurricane tomorrow. Rejoice!β
Maybe this is because the experts are stupid and lazy. Or maybe itβs social pressure: failure because you didnβt follow a well-known heuristic that even a rock can get right is more humiliating than failure because you didnβt predict a subtle phenomenon that nobody else predicted either. Or maybe itβs because false positives are more common (albeit less important) than false negatives, and so over any βreasonableβ timescale the people who never give false positives look more accurate and get selected for.
This is bad for several reasons.
First, because it means everyone is wasting their time and money having experts at all.
But second, because it builds false confidence.
β‘οΈ Startup Stuff
π₯ Managing People
This piece on managing people by Andreas Klinger is excellent and a must-read for all managers out there.
Hereβs how it starts: Everything is your fault.
As a manager, everything is your fault
I knowβ¦ very positive start π
There is no point being angry at your team β ever
You are in charge of processes and people
And you got more information than they do, always
You either created the processes where this outcome happened
or you hired (or did not fire) the wrong people
Ultimately everything is your fault
I also liked this part on trust, which echoed Tobi Lutkeβs trust battery concept:
Trust is not binary
We tend to think of trust as binary
I either trust someone, or i don't
But this isn't true
You trust different people with different things differently over time.
Think of trust as something that you systemize
Eg what kind of trust do you give a new team member?
What are they expected to do in the first weeks? first month?
Hereβs how Tobi puts it:
We talk about the trust battery as a metaphor quite casually. I know from people who are coming into the company that it may seem really strange. But it's something you just observe over time. Personally, I have found it really, really useful to be able to reason about a relationship without getting egos involved too much. I can have a conversation with someone saying, βHey, you made a commitment to ship this thing, and you did. That's awesome. That's a super big charge on the trust battery, but youβre actually late for every meeting. Even though that's relatively minorβlike it decreases 0.1% on your batteryβyou should fix that.β
Unrelated, but I found this tweet excellent and underlining a vital reality:
π What I Read
βοΈ Putting Ideas Into Words
Your ideas are not clear until you can write about them.
Writing about something, even something you know well, usually shows you that you didn't know it as well as you thought. Putting ideas into words is a severe test. The first words you choose are usually wrong; you have to rewrite sentences over and over to get them exactly right. And your ideas won't just be imprecise, but incomplete too. Half the ideas that end up in an essay will be ones you thought of while you were writing it. Indeed, that's why I write them.
π People Need to Hear the Good News About Climate Change
Less guilt and tribalism, more efforts where it really matters:
Calculating individual carbon footprints is overrated, and trying to guilt people about personal lifestyle choices is pretty pointless. If youβre worried about other peopleβs impact on the climate, you need to push for policy changes that make it easier for them to do what they want to do in an ecologically sustainable way or else that outright ban them from doing something destructive.
But as a matter of personal well-being, itβs critical to recognize that if you are, in fact, gripped with worry and guilt about climate change, you can do something about it.
If youβre young, you can pursue a career path where youβre working directly on zero-carbon electricity generation, on batteries, on green hydrogen, on new ways to manufacture ammonia, on carbon-neutral steel, or on direct air capture projects. There are probably a dozen other areas with an urgent need for technical and engineering progress and for the work of more good people as scientists and engineers, but also in management, marketing, sales, and everything else. There are tremendous opportunities to make a difference.
π₯ Teen Girlsβ Sexy TikTok Videos Take a Mental-Health Toll
TikTok has very detrimental effects on kids. Itβs no wonder that China bans it at specific hours of the day and tweaks their algorithm to promote learning and scientific content while doing the exact opposite for the version they export to the West.
When Jula Anderson joined TikTok at age 16, her first video featured her familyβs home renovations. It got five likes. After seeing others post risquΓ© videos and get more likes, she tried it, too.
βI wanted to get famous on TikTok, and I learned that if you post stuff showing your body, people will start liking it,β Jula, now an 18-year-old high-school senior near Sacramento, Calif., said.
π Podcast Episodes of the Week
This week in podcasts:
An Evolutionary Psychologist's Dating Advice - Geoffrey Miller
An excellent episode about evolutionary psychology and dating practices.
Garry Nolan: UFOs and Aliens π½πΈ
Your monthly dose of UFOs with Garry Nolan. I particularly liked Garryβs focus on the data and his open mind. Unfortunately, far too many scientists ridicule this field of research.
Pair with: Conquering the Barrier Belief
π Brain Food
π When There Were More Deaths Than Births in the U.S.
For the first time (ever?) in the US, deaths surpassed births from 12/2020 - 03/2021.
Births have declined over the years, whereas number of deaths have gone up with the population. So the two counts over time have been getting closer to each other. The past couple of years of covid accelerated the process.
Pair with: What the decline in population means for South Korea
The number of young men being conscripted into military service is expected to decline by almost 100,000 by 2025 as Korea's population declines, and potential university students will dwindle by 570,000.
The Ministry of Economy and Finance, which made the projection, on Thursday said it will come up with a response later this month.
"The military needs to overhaul its organizational structure, because the declining number of conscripts and shorter service period make it difficult to maintain troop levels."
π₯ What Iβm Watching
π¦ Drone Delivery Was Supposed to be the Future. What Went Wrong?
Sometimes, the βfutureβ never materializes. Drone delivery is a perfect example.
Pair with: The counterpoint from Bryne Hobart, Drone Delivery: Accelerating to Inevitable
π₯Ά 58 Days Alone in the North Pole
In 1978, Naomi Uemura attempted to reach the North Pole with a sled, 17 dogs, and determination.
π§ The Tool of the Week
β Ask Anything β VC
Building a company is about learning different things as you go. It can quickly get tricky when it comes to legal/VC terms, and the small mistakes you make in the early days can have massive impacts later on.
AskAnything.VC is a great place to find resources to answer your questions.
I also highly recommend Secrets of Sand Hill Road: Venture Capital and How to Get It by Scott Kupor.
πͺ Quote Iβm Pondering
The only way to discover the limits of the possible is to go beyond them into the impossible.
β Arthur C. Clarke
If you enjoyed this newsletter, make sure to subscribe if you havenβt π
π EndNote
Thanks for reading!
If you likeΒ The Long Game, please shareΒ it on social media or forward this email to someone who might enjoy it.Β Podcast reviewsΒ are also gratefully received. You can also βlikeβ this newsletter by clicking the heart just below this, which helps me get visibility on Substack.
Feel free to email me or find me onΒ TwitterΒ if you have any feedback or questions.
Until next week,
Mehdi Yacoubi
PS: Lots of newsletters get stuck in Gmailβs Promotions tab. If you find it in there, please help train the algorithm by dragging it to Primary. It makes a big difference.