What We’re Reading (Week Ending 05 September 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 05 September 2021:

1. Jude Blanchette on the Enduring Intellectual Puzzle of China – James Chater and Jude Blanchette

You wrote recently in Foreign Affairs about Xi’s “gamble” over the next 10 to 15 years. It was an interesting title because I don’t think the word “gamble” then appeared in the body of the text. What is Xi’s “gamble” and how does it relate to the central tensions facing China in the next 10 to 15 years you just alluded to?

If I had editorial control over the headline, I would have likely titled it: what’s driving Xi’s sense of urgency? For me, standard explanations for the Xi administration’s behavior over the past several years had fallen short in a way that was meaningful enough to bite into. Discussions about rejuvenation, or 2049, are far too abstract to be functionally meaningful in terms of how senior officials actually plan. I imagine that the idea of “rejuvenation” is about as operative in current Chinese planning as the idea of “liberty” is in terms of how the Department of Defense or White House thinks about U.S. global strategy. There may be an ideological component to articulating a set of overall values, but it won’t have much purchase in day-to-day government planning meetings or strategy sessions.

So, if I don’t think that’s really what’s driving them, then what is? And I became interested in this year 2035, which we saw as central to a proliferating number of planning and policy documents. That felt to me like a framework which authoritarian political systems, such as the one that Xi is leading, might be able to orient towards, because it’s really talking about the next 10 to 15 years, a timeline within which Xi Jinping will likely be alive and maybe still even in power. That was combined with seeing that when you start thinking about this next 10 years, first of all, a number of the long-standing challenges that China has been able to can-kick, mitigate or constrain through rapid economic growth — debt, demographics and declining productivity — are now going to come to bite in a way that they haven’t yet; and that the international environment is clearly undergoing an important shift that will constrain the development space that China has had.

With, admittedly, a little bit of analytical imagination, I then began to think this makes sense, or this explains better the drive and urgency behind the Xi administration; there’s a window of important opportunities to gain an edge in areas that the United States is either immature or distracted. But this is also a critical window for finally making headway on solving some of the challenges that previous leaders felt like they had more time on. That element of time had, to me, been missing from a lot of the strategic discussion about China; it had been more about goals. But goals absent of time are just meaningless concepts… 

Going back to 2012-2013, do you have any sense of how this process of centralization was achieved? And from that, just how sui generis is what we have now? Who are those key stakeholders within elite politics now and are they different from the pre-Xi era?

The two dominant explanations for how Xi became so powerful, so quickly are mandate and mendacity. Mandate is the argument that if you look at where the party was by 2012, you had an almost untenable number of problems within the bureaucratic system and organizational structure. And then, throughout Chinese society, there was growing distrust [of the CCP], the role of technological tools like Weibo to foment and transmit dissent and dissatisfaction, corruption within the party, Bo Xilai, the Arab Spring, color revolutions, you name it. Xi Jinping was handed a mandate by senior leaders and retired leaders to essentially rectify the system. That gave breathing room for Xi to move in a way that Hu Jintao did not have when he could feel the breath of Jiang Zemin on the back of his neck.

The other argument is mendacity, namely, Xi Jinping leveraged that sense of crisis within the system, and moved to weaponize institutions like the CCDI [Central Commission for Discipline Inspection] to essentially asymmetrically grab power and move an agenda in a way that no-one was predicting. A combination of the two makes sense to me, insofar as he clearly had the mandate which he then pushed farther than the status quo expected. And once he had essentially figured out some of the effective tools, then began the centralization that we see today.

The reason I think the mandate explanation is insufficient is if it had been known how far Xi Jinping was going to push, then, of course, individuals like Xu Caihou and Zhou Yongkang, would never have accepted the mandate and would have raised holy hell at the beginning. You had a whole senior and sub-elite tier of the party who had their iron rice bowls smashed by Xi. And as far as we can tell, they didn’t have much by way of warning that they were targets, because if they had, you can imagine that the pushback would have been more visible and fierce than it was. 

So, it’s some combination of, never let a crisis go to waste, combined with Xi being a much more effective bureaucratic actor and far more Machiavellian once ensconced in power. This, then also transcending the mandate by a fair degree makes more sense to me as an explainer than either one of the extremes of, “Oh, it was mandate” or “Oh, it was mendacity.” Both of those have shortcomings…

What are the long-term ramifications of this coalescing of power around Xi? What happens after Xi?

You can think about the change that China underwent after the death of Mao, which I think surprised almost everyone in how quickly — within a matter of four years or so — it moved towards official normalization of relations with the U.S., and the beginning of this extraordinary campaign of economic reform. So that’s always possible. But I think it depends on the circumstances in which whoever inherits the mantle from Xi assumes that power. On the one hand, you can imagine a leader now assuming power that no previous Chinese leaders had, because Xi Jinping has redefined what the position of the General Secretary is in China, in a way that has returned to the level of authority that it hasn’t had since Mao.

On the other hand, Mao was a singular leader who was not commanding a very strong bureaucracy. Xi has centralized power and personalized power, but at the same time, tried to reforge the Leninist organizational integrity of the Communist Party. That combination of a supremely powerful general secretary and a now far more organized Leninist party bureaucracy is a combination I don’t think we’ve seen yet in CCP history. How does a future General Secretary wield that power?

2. How Pinterest Learned to Control Cloud Costs – Kevin McLaughlin and Jeremy King 

The Information: There’s a debate going on in the enterprise tech industry about whether using cloud providers remains cost effective after a company reaches a certain scale, and whether it’s better to repatriate certain computing jobs to private data centers. Where do you stand on that?

King: The biggest barrier [is that] the switching costs are so high that it’s almost better to stay where you are if you have the ability to do it. The challenge that many companies have when they’re running their own clouds internally [is that] they haven’t invested in the ability to get the pricing [for servers and other hardware] that they need.

You need to build your own hardware, you need to be able to cycle and life-cycle your products, [and] you need to have a [platform as a service] layer that orchestrates the utilization of those resources, like you can with a cloud provider. Otherwise, you’re never going to get to the point where you’re cheaper than the cloud.

But [there are] companies that have built their own data centers—like Twitter and eBay—that have awesome teams focused on the infrastructure side. For them, switching to cloud is almost as painful as somebody going from cloud back to [private data centers]. [Editor’s note: Twitter has evolved its approach in recent years, striking deals with Google Cloud and AWS to offload more of its computing tasks to the cloud.]

I would have to build a dedicated team with a minimum of 100 people to be able to build that technology stack for us. We’re talking about a million-plus [processor] cores that run Pinterest. Just building those data centers alone and dealing with [multiple] regions, this is complicated stuff. So we’re going to stay in the cloud for the foreseeable future.

Our cloud bill is huge when you look at it. You can imagine it’s several hundred million [dollars] a year. So at some point [you start thinking,] “Hey, could I save money on these dollar amounts?” and that would be something we’d have to look into. But it’ll be several years before we even consider that.

In 2019 we reported that several top AWS customers were seeing higher-than-expected cloud bills, and Pinterest was one of the companies we mentioned. How are things today? Has Pinterest got a better handle on forecasting its capacity needs in advance?

Yeah, we have a wonderful team on this. In order to go to the cloud, there’s two things you need to worry about. Number one, you need to have a finance partner that isn’t as deep into…the way you utilize the cloud provider as the engineering teams [are]. Because you really can make big mistakes in how you utilize capabilities of the cloud that aren’t part of a discount that you’ve gotten and that sort of thing. So you really have to have a great finance partner.

Oftentimes, when people talk about the problems they’re having with cloud bills, their production environments are usually pretty well managed and they’re keeping a good eye on it. But they usually lose control over [software development and testing]. What happens is an engineer will spin up an environment, or a set of environments, and run a machine-learning program for five days, and then they’ll get the bill and go, “Oh my god, that cost $100,000 to run.”

So you really need to build some discipline internally as well that most companies don’t currently have.

3. Gabby Dizon – Mapping the Metaverse Economy – Patrick O’Shaughnessy and Gabby Dizon

Patrick: [00:03:34] We just met a few days ago, but I’ve been so damn excited for this conversation because I think you’re building one of the more interesting and different businesses in the world right now. You’re in Manila. I’m in New York. That’s the nature of things these days. I absolutely love it. Maybe just since a lot of people won’t be familiar with Yield Guild Games, you could just give an overview of what the company does today before we retrace your steps and the company’s steps back in time. I think that’s a good place to begin.

Gabby: [00:04:00] Yield Guild Games is what we call a play-to-earn gaming guild. In a way I call it similar to a world of Warcraft Guild with a balance sheet. So we were a group of gamers or set up as a bow or the central autonomous organization, and we invest in assets in different blockchain games. So Axie Infinity is the main one that we are playing in. We buy these Axies. These NFTs are used inside the games to earn some form of yield. So in this case, it’s SLP tokens. These are used by players to earn an income.

Patrick: [00:04:30] I think we need to talk about play-to-earn in some detail upfront because without that foundation, it’s going to be hard for people to follow what the hell an SLP is and why anyone cares. I’ve heard you talk elsewhere about how there’s sort of like a westward expansion happening in the digital world right now. Maybe it’s a gold rush. Maybe it’s a land grab. And there’s a lot of terms from like early physical exploration and settling that we could use in this discussion, but just talk us through what play-to-earn means, how it relates to this fun concept of the metaverse and digital assets. Give us a primer on this concept.

Gabby: [00:05:04] I guess we have to start with blockchain games, these games where some of the assets are NFTs. And because these are NFTs that earn the blockchains such as Ethereum, then the players on these assets, it’s not owned by the game anymore. And when you play these blockchain games, it reads your wallet to see what the NFTs you own and then it represents them in the game. So that’s kind of the basic layer.

And then play-to-earn is kind of a step beyond that where you are using these assets that you own to earn some kind of token reward. So for example, in Axie if I have three Axies in my wallet, I play a match inside the game and I win, I earn an SLP token and this SLP token is something that I can sync into my wallet as a token and then I can interact the DeFi world, turn it into Ether, for example, or turn it into fiat money, into dollars or Philippine Pesos, and I can go get spend up money. So in effect, I am using these games to play and then earn money so that I can then cash out in the real world.

Patrick: [00:06:08] I think we could talk about this concept of assets, because again, for some people that don’t play these games or are not spending all their time thinking about crypto or blockchain, it’s really important to understand the categories that these things might be in. What are the major ones? People probably have heard of like cosmetic purchases, cool skin in Fortnite or something. How would you categorize the major kinds of assets that exist today and may exist in the near term future?

Gabby: [00:06:32] NFTs can be generally unique assets that are inside the games that you’re playing. So they can be skins, they can be items, for example, like arm or swords. They can be unique characters inside the game. In the case of Axie, they’re like unique digital pet similar to a Pokemon. So the idea is the game generates unique kinds of assets that can then own by the player as NFTs on a blockchain which they can then own and trade with one another for value in the real world…

Patrick: [00:12:42] One of the most interesting things that’s happening in your ecosystem as a result of your business specifically is people in the Philippines, I think in Venezuela and some other places like this, all of a sudden earning a lot more money by doing something that there’s demand for, which is whether that’s breeding these things in the game, which are valuable to people and value is value. If people want them and are willing to pay, that’s value. Obviously that can fluctuate. The Axies could tank to $5 from $500, which is something we should talk about, but talk through how this is changing people’s behavior, let’s just say in your native, the Philippines. What kind of change in earnings does it represent for people that are doing this? How many people are doing this? I’m just fascinated by how this is a new kind of job.

Gabby: [00:13:24] Right now, there are over 1 million daily active users in Axie Infinity. Probably somewhere between 40% to 50% of this is in the Philippines. So that represents hundreds of thousands of people who are now basically working in the metaverse. They’re working in Axie Infinity. And the interesting thing about this is that Axie doesn’t care whether you live in the Philippines or in America or in Venezuela. It basically pays you a flat wage depending on how much SLPs you can produce. Now you’re earning based on how good you are in the crypto economy of Axie Infinity and not based on what location you’re in.

What’s happened with the in-game economy so far is that it has produced, I would say like revenue or income opportunity for these players that are multiples of what a typical minimum wage job is in the Philippines. So for example, here in the Philippines, a minimum wage share might be $200. It’s actually a lot lower in Venezuela. I think it’s like $50, and people are earning maybe somewhere between $500 to $1,000 a month playing Axie Infinity. And that’s just really changed a lot of lives where people have had this scale that they didn’t think was worth any money, this gaming scale. A lot of us have gaming scale and we’ve become pretty good at it growing up.

We never really thought it was a scale that could be monetized and now they’re finding out that the scale that they’ve earned in their teenage years that their moms have yelled at them for is actually a skill that can be monetized by playing these play-to-earn games. And the result is astounding of people who are jobless or have held down minimum wage are earning like three, four or five times the amount that they used to.

Patrick: [00:15:04] I think that this is a topic in our conversation that we need to linger on because I want to understand how this might look five years from now in good and bad ways. So, first of all, who can argue with the fact that people that were making $200 are now making $1,000 and at scale like you mentioned? That maybe a hundred thousand or more people in the Philippines whose lives have changed as a result of this. I want to understand what drives the durability of that opportunity. So in crypto, as everyone knows that’s listening, there’s a lot of volatility. Assets go very high, then they can crash very low. This happens over and over again. If let’s just say an Axie goes from being worth, a team of Axies goes from being worth $1,000 to being worth $10, what happens? Do other games spring up? What are the risks to the pool of demand that creates these jobs and the flow of capital that creates these jobs? What are the opportunities? What do you think this looks like in five years?

Gabby: [00:15:57] The way to think of each play-to-earn game is that in a way it’s its own self-contained economy. We even call them like digital nations, which means that people go there to play to work. There must be people who are investing something inside the game economy for people to do some kind of work unit and take something out. So in Axie, it’s breeding that creates these because you need these Axies to come in and create the SLP, but long-term, there needs to be many different reasons why people would put money in the game. For example, are there sponsorships? Are brands willing to put money in the game and maybe sponsor prizes for people to do tournaments? Right now the economy of Axie Infinity is based on new user growth because every new user that comes in has to buy three Axies, which means that the breeders are making money selling Axies to these users coming in.

Of course, at some point we don’t know whether it’s one year, two years, five years, the new user growth will slow down and there needs to be spending like currency users inside the game or external parties such as maybe brands, for example, who would want to advertise or give prizes to the population of the people in that game. So in a way, I even think of each game economy as having its own GDP. So that’s why we talked about settling the metaverse or settling this digital dimensions. In a way, these people are, I may be in the Philippines and then I go to this online game to start working and I’m not in my local economy anymore. I’m now in the economy of this game or virtual world. And I perform actions there that I earn value and then I take that money home, be it SLP or whatever kind of game currency, and then I take it out back as Philippian Pesos.

So it’s actually not that different from a migrant worker from the Philippines that has to go to America or to Europe to earn a higher living wage and then take that money back home, except I’m going to these different video game worlds instead.

4. The Barings collapse 25 years on: What the industry learned after one man broke a bank – Elliot Smith

Exactly 25 years ago, Britain’s oldest investment bank, which listed Queen Elizabeth II among its clients, was declared insolvent.

The collapse of Barings Bank was caused by colossal losses incurred by a single rogue trader.

Nick Leeson, the bank’s then 28-year-old head of derivatives in Singapore, gambled more than $1 billion in unhedged, unauthorized speculative trades, an amount which dwarfed the venerable merchant bank’s cash reserves.

Leeson’s assignment in Singapore was to execute “arbitrage” trade, generating small profits from buying and selling futures contracts on the Japanese Nikkei 225 in both the Osaka Securities Exchange and the Singapore International Monetary Exchange.

However, rather than initiating concurrent trades to capitalize on small differences in pricing between the two markets, he retained the contracts in the hope of creating much larger profits by betting on the rise of the underlying Nikkei index.

He had made vast sums for the bank in previous years, at one stage accounting for 10% of its entire profits, but the downturn in the Japanese market following the Kobe earthquake on January 17, 1995 rapidly unraveled his unhedged positions.

Through manipulating internal accounting systems, Leeson was able to misrepresent his losses and falsify trading records.

This enabled him to keep the bank’s London headquarters, and the financial markets, in the dark until a confession letter to Barings Chairman Peter Baring on February 23, 1995, at which point Leeson fled Singapore and kickstarted an international manhunt. Three days later, Britain’s oldest merchant bank, founded in 1762, ceased to exist.

Leeson was eventually captured and sentenced to six and a half years in jail in Singapore after pleading guilty to two counts of “deceiving the bank’s auditors and of cheating the Singapore exchange.”

One of the most glaring regulatory errors the bank made was having the same man at the helm of both the derivatives trading desk and the clearing, settling and accounting operation.

ACA Compliance Chief Services Officer Carlo di Florio, a former senior executive at both FINRA (Financial Industry Regulatory Authority) and the U.S. Securities and Exchange Commission (SEC), said this convergence of duties was tantamount having “the fox guarding the hen house.”

5. What It’s Like to Inherit Billions in Your Twenties – Hallam Bullock

At an age when most teenagers are swapping trading cards, Tyler Huang was involved in his father’s bid to buy a British football club. If they wanted to, his family could make a Monopoly board of London, purchasing properties on the roll of a dice. Tyler himself has the means to dine on wagyu for every meal. He is, if it wasn’t already obvious, unbelievably rich…

…Huang, who is now 23, inherited billions earlier this year when his parents died. But if you were to pass him on the street, you’d see a young man indistinguishable from any other, loafing around in his Crocs, head down, texting and tweeting as he walks.

Huang grew up in Knightsbridge, London, overlooking Hyde Park. “I was raised primarily by staff – maids, butlers, nannies,” he says. He spent most of his childhood in an isolated orbit, cushioned from the outside world by private jets, luxury homes and his family’s workforce. “As a kid, I never played with toys much,” he tells me. “Dad collected cars, so I used to spend a lot of my free time taking vintage cars out.”

Huang grew up with not one but two AMEX Centurion cards – one of the most exclusive credit cards in the world: “My mother gave me one for emergencies, and my father gave me another for anything else.”…

…Again, while that might sound like a privilege – and it absolutely is: you have to be massively privileged to even qualify for one – Huang believes that placing the power of unlimited spending in the hands of a teenager ultimately wasn’t the best idea.

“I wish I didn’t grow up with those cards, then I’d be able to understand how to appreciate money and others,” he says, before recalling a phone call he had with his father at the age of 16: “He called me up one morning when I was hungover and we laughed about the money I’d spent over the weekend – I didn’t remember much, but it turns out I got drunk and rented a yacht in Bangkok.” 

Huang doesn’t recall this with a smirk or a sense of satisfaction, but with shame. “You would think, as a kid, never having to look at a price tag would be great – but it’s actually quite scary,” he says. Even as a child, he noticed his homes were surrounded by CCTV and security teams. “I knew what they were for – my parents didn’t like to attract attention, but there was always a sense of danger.” 

For Huang, an attempted kidnapping or burglary was something to be prepared for. His drivers were trained to escape criminals and, if he wanted, his father could arrange an entourage for him to get ice cream. “As a child, it’s terrifying,” he says. “When your father runs background checks on your friends’ families, it’s a reminder of just how different you are.”… 

…Huang feels his mother measured the value of his life primarily by his academic performance. Concerned by her son’s half-hearted approach to his studies, she sent him to a psychiatrist, where he was diagnosed with clinical depression, autism and Asperger’s. Huang says his mother treated the diagnoses like a pick-and-mix, seeing his autism as an indication he was “gifted”, but rejecting the depression as him being “lazy and difficult”…

…When Huang finished school, he began serving in mandatory active duty as a full-time national serviceman in Singapore. However, at the age of 19, doctors found a glioblastoma – a grade 4 brain tumour – in his left frontal lobe, and he was discharged from the military. He was reluctant to tell his friends about his diagnosis, but in the space his silence made, speculation thrived and he was considered a “white horse” – someone who could escape military service through their family connections.

Following his discharge, Huang began showing real promise in the field of architecture. For a while, his mental and physical health problems sank to the bottom of his mind, but before long his depression would again break the surface.

Huang lost his brother to a car accident in 2017, his mother to cancer in 2020 and his father to another car accident in February of this year. Today, his depression is the most violent it has ever been. He has stepped back from his career in architecture, after his health conditions left him unable to work. Huang’s cancer is terminal, but he continues to receive treatment and has outlived his doctor’s five-year estimation from when the tumour was first discovered.

He consumes three pills for breakfast, 12 for lunch and eight for dinner. His other routines are more or less the same every day: when he wakes up, Huang likes to spend as little time as possible at his Singapore apartment. When he’s outside, the hustle and bustle of the street scatters his dark thoughts. It’s for this reason that he likes to spend time in public places. A rooftop bar is one of his favourite daily pilgrimages, where he sits with his laptop, girdled by life and laughter.

One evening, he calls me while he’s there, surrounded by plates of oysters, scallops, champagne bottles and a thinly sliced beef dish that is woven so intricately around itself, it looks at first like a decorative centrepiece for the table. As we speak, the sun is setting over Singapore, and it seems to me like the perfect way to spend an evening.

“It isn’t,” Huang says. “I’m all alone – I always am.”

6. Cancer’s ‘Achilles’ heel’ discovered by scientists – Study Finds

Scientists may be one step closer to defeating cancer after finding what researchers at the University of British Columbia call the disease’s “Achilles’ heel.”

Their study has uncovered a protein that fuels tumors when oxygen levels are low. It enables the cancerous growths to adapt and survive and become more aggressive.

The enzyme, called CAIX (Carbonic Anhydrase IX), helps diseased cells spread to other organs. It could hold the key to new treatments for the deadliest forms of the disease, including breast, pancreatic, lungs, bowel, and prostate cancers.

“Cancer cells depend on the CAIX enzyme to survive, which ultimately makes it their ‘Achilles heel.’ By inhibiting its activity, we can effectively stop the cells from growing,” says study senior author Professor Shoukat Dedhar in a university release.

The findings, published in the journal Science Advances, will help researchers develop drugs that destroy solid tumors. These are the most common types that arise in the body. They rely on blood supply to deliver oxygen and nutrients which help tumors grow.

As the tumors advance, the blood vessels are unable to provide enough oxygen to every part. Over time, the low-oxygen environment leads to a buildup of acid inside the cells. They overcome the stress by unleashing proteins, or enzymes, that neutralize the acidic conditions.

This process is behind the spread, or metastasis, of cancer cells to other organs — which is what can kill patients. Finding a way to prevent cancer from metastasizing is the “Holy Grail” of cancer research. One of the enzymes which appears to do this is CAIX.

The Canadian team previously identified a unique compound known as SLC-0111 as a powerful inhibitor. It is currently being tested in clinical trials. Experiments in mice with breast, pancreatic, and brain cancers revealed its effectiveness.

7. How Learning Happens – David Perrell

Enjoyable learning begins with inspiration—both to get you started and to help you push through the struggles of knowledge acquisition. The way I see it, the need for inspiration inverts the learning process: instead of starting with the building blocks and moving toward curiosity, students start with curiosity and move towards the building blocks. Guided by the light of inspiration, the benefits of memorization become self-evident, and the motivation to learn comes intrinsically.

My teachers didn’t give inspiration the respect it deserves. Too often, they dove straight into the test material before they sparked a flame of desire in us. I still remember learning about the Doppler effect because my junior year astrophysics teacher taught it so well…

…Instead, he started by making the subject come alive.

First, he gave us context: how the Doppler effect shows up in our lives. You experience it whenever an ambulance passes by, he said. Because of the Doppler effect, the sirens have a higher pitch when they’re coming towards you and a lower one as they drive away. The change in pitch reflects the change in wavelength created by the siren. He didn’t stop there. He told us how astrophysicists use this formula to measure how fast the universe is expanding. Together, these stories are so deeply embedded in my mind that I still think of them a decade later whenever I hear an ambulance pass by.

Inspiration is a uniquely human experience because it isn’t motivated by mere survival. It transcends the world of needs and lives in the world of wants. By doing so, inspiration stirs the mind. It’s no coincidence that the etymology of inspire is linked to “the breath of life.” As the sparkle of inspiration enters our bodies, we are animated with a video game style turbo-boost. Though a state of perpetual awe is the natural state for kids (which is why they learn so fast), it’s foreign to most adults. Too often, the wrinkles of age and the weight of responsibility silence the rush of epiphany.

Blinded by age, we can turn to cold rationality, valuing only what we can define and prioritize only what we can measure. When we do, we forget that the wisdom of an inspired spirit exceeds our ability to describe it. The less we insist on a justification for our curiosities, the more we can surrender to the engine of inspiration and let learning happen…

…Since the school system operates at scale, it tends to squash things that are hard to predict, even if they reflect a student’s unique interest. For an in-person curriculum to scale, students need to be doing the same thing at the same time. The individual nature of inspiration makes that impossible.

Inspiration is also hard to define. Even the most inspired people can’t always define the edges of their own interests—let alone explain them to others. Furthermore, we change. Surprise is in the nature of growth. But by insisting on such a structured approach, schools squash the ambitions of the very students they intend to serve. Ultimately, the kind of rigidity you need to pump millions of students through the school system every year is the antithesis of the kind of flexibility that nurtures inspiration.

Most of all, schools should embrace entertainment because it lets you scale inspiration. Since entertainment means something different to every person, let’s start with a definition: to engage a person’s attention in a way that makes the time pass pleasantly.

Entertainment is not amusement. Entertainment can be nutritious, but amusement never is. Amusement is defined by distraction. Like candy, it’s appealing in the short-term but has few long-term benefits. Usually, when educators criticize entertainment, they’re actually talking about amusement. Though the distinction is subtle, it’s the difference between an educated citizenry and the dystopia of Huxley’s Brave New World.

Historically, educators have run away from entertainment because they assume it will lead to amusement. Throughout my childhood, I sensed an implicit assumption that learning needed to be boring in order for it to be effective. Take the assumption to its logical extreme and teachers face a dilemma of either locking students in a room and force-feeding them knowledge or letting them enjoy themselves, knowing they won’t learn anything.

If there’s anything I’ve learned by writing on the Internet, it’s that small tweaks in the way an idea is packaged can have an exponential impact on how much it resonates. The Greeks knew this intuitively. They wrapped their most important ideas in narratives instead of sharing them outright. Plays like The Iliad and The Odyssey weren’t just a form of entertainment. They provided cultural instruction too. Since they were passed along in speech instead of writing, they had to be memorized and known by heart. 

Today, masters of storytelling come from Hollywood and, increasingly, YouTube. They use many of the same tools that the Greeks discovered. Their storytelling philosophy is among the most effective tools we’ve invented for inspiring people at scale, which is why a popular documentary will spark more interest in a subject than the best textbooks ever will. Hollywood techniques aren’t going to make anybody an expert in their subject, but they can kindle the flame of curiosity.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentionedwe currently have a vested interest in Alphabet (parent of Google Cloud) and Amazon (parent of AWS). Holdings are subject to change at any time.

What We’re Reading (Week Ending 29 August 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 29 August 2021:

1. What I Learned While Eavesdropping on the Taliban – Ian Fritz

When people ask me what I did in Afghanistan, I tell them that I hung out in planes and listened to the Taliban. My job was to provide “threat warning” to allied forces, and so I spent most of my time trying to discern the Taliban’s plans. Before I started, I was cautioned that I would hear terrible things, and I most certainly did. But when you listen to people for hundreds of hours—even people who are trying to kill your friends—you hear ordinary things as well…

…In 2011, about 20 people in the world were trained to do the job I did. Technically, only two people had the exact training I had. We had been formally trained in Dari and Pashto, the two main languages spoken in Afghanistan, and then assigned to receive specialized training to become linguists aboard Air Force Special Operations Command aircraft. AFSOC had about a dozen types of aircraft, but I flew solely on gunships. These aircraft differ in their specifics, but they are all cargo planes that have been outfitted with various levels of weaponry that range in destructive capability. Some could damage a car at most; others could destroy a building. In Afghanistan, we used these weapons against people, and my job was to help decide which people. This is the non-euphemistic definition of providing threat warning.

I flew 99 combat missions for a total of 600 hours. Maybe 20 of those missions and 50 of those hours involved actual firefights. Probably another 100 hours featured bad guys discussing their nefarious plans, or what we called “usable intelligence.” But the rest of the time, they were just talking, and I was just eavesdropping.

Besides making jokes about jihad, they talked about many of the same things you and your neighbors talk about: lunch plans, neighborhood gossip, shitty road conditions, how the weather isn’t conforming to your exact desires. There was infighting, name-calling, generalized whining. They daydreamed about the future, made plans for when the Americans would leave, and reveled in the idea of retaking their country…

…All this bullshitting flowed naturally into the Taliban’s other great verbal talent, the pep talk. No sales meeting, movie set, or locker room has ever seen the level of hyper-enthusiastic preparation that the Taliban demonstrated before, during, and after every battle. Maybe it was because they were well practiced, having been at war for the majority of their lives. Maybe it was because they genuinely believed in the sanctity of their mission. But the more I listened to them, the more I understood that this perpetual peacocking was something they had to do in order to keep fighting.

How else would they continue to battle an enemy that doesn’t think twice about using bombs designed for buildings against individual men? This isn’t an exaggeration. Days before my 22nd birthday, I watched fighter jets drop 500-pound bombs into the middle of a battle, turning 20 men into dust. As I took in the new landscape, full of craters instead of people, there was a lull in the noise, and I thought, Surely now we’ve killed enough of them. We hadn’t.

When two more attack helicopters arrived, I heard them yelling, “Keep shooting. They will retreat!”

As we continued our attack, they repeated, “Brothers, we are winning. This is a glorious day.”

And as I watched six Americans die, what felt like 20 Taliban rejoiced in my ears, “Waaaaallahu akbar, they’re dying!”

It didn’t matter that they were unarmored men, with 30-year-old guns, fighting against gunships, fighter jets, helicopters, and a far-better-equipped ground team. It also didn’t matter that 100 of them died that day. Through all that noise, the sounds of bombs and bullets exploding behind them, their fellow fighters being killed, the Taliban kept their spirits high, kept encouraging one another, kept insisting that not only were they winning, but that they’d get us again—even better—next time.

2. Cancer patients’ own cells used in 3D printed tumours to test treatments – Rami Ayyub, Rami Amichay and Rinat Harash

The scientists extract “a chunk” of the tumour from the brain of a patient with glioblastoma – an aggressive cancer with a very poor prognosis – and use it to print a model matching their MRI scans, said Professor Ronit Satchi-Fainaro, who led the research at Tel Aviv University.

The patient’s blood is then pumped through the printed tumour, made with a compound that mimics the brain, followed by a drug or therapeutic treatment.

While previous research has used such “bioprinting” to simulate cancer environments, the Tel Aviv University researchers say they are the first to print a “viable” tumour.

“We have about two weeks (to) test all the different therapies that we would like to evaluate (on) that specific tumour, and get back with an answer – which treatment is predicted to be the best fit,” Satchi-Fainaro said.

A treatment is deemed promising if the printed tumour shrinks or if it lowers metabolic activity against control groups.

3. Mike Maples Jr. – A Playbook for Startups – Patrick O’Shaughnessy and Mike Maples Jr.

Patrick: [00:03:09] So Mike, I’ve been really looking forward to this one since our first conversation. I like to dive right in. We’ll get to your fascinating history and all the things you’ve done, but I like to start with ideas. One of the ideas that really struck me when we talked last was this notion of forcing a choice and the power of forcing a choice in business. Can you explain in detail what you mean by this and why it’s so powerful?

Mike: [00:03:29] I like to say that there’s two fundamental fields of business that are animating the economy. There are scalable corporations, and then there are scalable startups. And a scalable startup only has one opportunity to succeed. And that is if they offer a choice in the direction towards a different future. People don’t want something incrementally better from a startup, because human beings are conditioned to like things. And if you’re too much like what they already know, there’s not room in their head to believe that you can credibly do a better job than a very large incumbent as a startup.

So what a startup needs to do is offer a choice of a different future. So if everybody in the world is selling bananas, you don’t come in and say, I have 10 times better banana, you say I’m the world’s first apple. You may not want my apple, that’s okay, but you can’t reconcile an apple and a banana. The set of people who value the advantage of apples, a hundred percent of them should flock to your apple. To me, a startup that creates a breakthrough has to force that choice because they’re trying to create a movement. They’re trying to move people to a different future of their design. People don’t move because of a comparison, they move because they see something radically different, not incrementally better.

Patrick: [00:04:43] How do you decide what might be an apple? I mean, it’s obvious when you use the fruits as examples versus like a much tastier, more ripe banana or something like that. But how do you know, you’ve done this a lot, you’ve got a million reps, when you find a team or something really early that might have that apple quality?

Mike: [00:05:00] So I’d say that there’s really two markers. At a high level, the markers are inflections, which lead to breakthrough secrets about the future. And then there’s teams that assemble in a collaborative structure that’s different from a typical corporate organization. If we take the first part, inflections, an inflection is a sea change that creates the opportunity to create a breakthrough that changes the subject of the future and changes the way we, the people, think and act. What are some examples of inflections? Lyft, a company we invested in. GPS locators got bundled in with smartphones. And so another inflection was that smartphone adoption, we believed was going to go from 10% to greater than 50%. And so you say, hmm, if you marry those inflections, you could envision a world where in the near future, lots of people would have smartphones that can find each other.

And so then you could imagine applying the ideas of Airbnb and the sharing economy to cars. To me, that’s the first step. And this is the step that a lot of people skip. I call it insight development. In insight development, you use a technique We call backcasting to identify a secret that will lead to a different future. That will be a breakthrough different future. And then after that, you iterate that insight to product market fit, using techniques like customer development and others. And then after that, you do growth hack. So there’s this breakthrough sequence. There’s the insight breakthrough, the product breakthrough, then the growth breakthrough.

And so you need a team that’s able to do that, because a secret about the future, it reminds me of the movie, Ocean’s Eleven. It’s not enough that you just know that there’s money in the Bellagio safe, you have to rob it. These breakthrough movements, you have to have the courage to be disliked. You’re making people uncomfortable. You’re getting people out of their comfort zones. You’re selling people the way you think of the world now is about to be replaced by radically different way of thinking about the world.

And so as a result, the reason I liked the metaphor of Ocean’s Eleven is you’ve got the guy that can pick the safe and you got the acrobat. You have the person that cuts the lights in Vegas. You have the person that drives the SWAT van. You have George Clooney masterminding it all. Startup teams are a lot more like that. The great startup teams are engaging in an optimistic conspiracy theory to change the future, and so they need people that are different from a traditional org chart. They need people that are going to take out the critical risks that exist between them right now, and that different future that they want to design.

4. The Semiconductor Heist Of The Century | Arm China Has Gone Completely Rogue, Operating As An Independent Company With Inhouse IP/R&D – Dylan Patel

Arm is widely regarded as the most important semiconductor IP firm. Their IP ships in billions of new chips every year from phones, cars, microcontrollers, Amazon servers, and even Intel’s latest IPU. Originally it was a British owned and headquartered company, but SoftBank acquired the firm in 2016. They proceeded to plow money into Arm Holdings to develop deep pushes into the internet of things, automotive, and server. Part of their push was also to go hard into China and become the dominant CPU supplier in all segments of the market.

As part of the emphasis on the Chinese market, SoftBank succumbed to pressure and formed a joint venture. In the new joint venture, Arm Holdings, the SoftBank subsidiary sold a 51% stake of the company to a consortium of Chinese investors for paltry $775M. This venture has the exclusive right to license Arm’s IP within China. Within 2 years, the venture went rogue. Recently, they gave a presentation to the industry about rebranding, developing their own IP, and striking their own independently operated path.

This firm is called “安谋科技”, and is not part of Arm Holdings.

Before we get to the event they held and the significance of it, let’s do a recap. In 2020, Arm and a handful of the investors agreed to oust Allen Wu, the CEO of Arm China. He was ousted for using his position as the CEO of Arm to attract investments in his own firm, Alphatecture…

…Removing Allen Wu has proven to be very difficult. Despite a 7-1 vote by the Arm China board, the company seal was still held by Allen Wu. In China, the seal is a stamp which authorizes the person in possession to bind a company and its representatives with rights and obligations. Retrieving this seal and the business license would be a multiyear drawn-out legal process. Furthermore, it would mean at least some investors besides Arm must be along for the ride. The Chinese court system would need to agree with ousting an executive in favor of one that was hand selected by western influencers.

5. What is China’s common-prosperity strategy that calls for an even distribution of wealth? – Andrew Mullen

Chinese economists were quick to move to ease fears that China’s drive for common prosperity signals aggressive policies are afoot that will seize money from the rich to close the country’s yawning wealth gap.

“Robbing the rich to give to the poor” would only result in “common poverty,” said Zhang Jun, dean of the School of Economics at Fudan University in Shanghai, in an interview with The Paper at the end of August.

“The prerequisite of common prosperity is that the pie must continue to get bigger,” he added.

Li Daokui, a former adviser to China’s central bank, also emphasised the campaign to help more people enjoy economic well-being was a long-term goal.

“It cannot be expected that progress on a variety of indicators be made in the short term, for example five years,” Li said in an interview with Phoenix Television.

“We must be vigilant against ‘common prosperity’ becoming a Great Leap Forward, a risky endeavour, or something that drags down economic development and affects efficiency.”

Li, now chief economist at the New Development Bank, said it was “harmful” to equate common prosperity with making everyone’s income equal, and emphasised the campaign should not be equated with the anti-monopoly crackdown.

6. Xi’s Dictatorship Threatens the Chinese State – George Soros

Relations between China and the U.S. are rapidly deteriorating and may lead to war. Mr. Xi has made clear that he intends to take possession of Taiwan within the next decade, and he is increasing China’s military capacity accordingly.

He also faces an important domestic hurdle in 2022, when he intends to break the established system of succession to remain president for life. He feels that he needs at least another decade to concentrate the power of the one-party state and its military in his own hands. He knows that his plan has many enemies, and he wants to make sure they won’t have the ability to resist him…

…Although I am no longer engaged in the financial markets, I used to be an active participant. I have also been actively engaged in China since 1984, when I introduced Communist Party reformers in China to their counterparts in my native Hungary. They learned a lot from each other, and I followed up by setting up foundations in both countries. That was the beginning of my career in what I call political philanthropy. My foundation in China was unique in being granted near-total independence. I closed it in 1989, after I learned it had come under the control of the Chinese government and just before the Tiananmen Square massacre. I resumed my active involvement in China in 2013 when Mr. Xi became the ruler, but this time as an outspoken opponent of what has since become a totalitarian regime.

I consider Mr. Xi the most dangerous enemy of open societies in the world. The Chinese people as a whole are among his victims, but domestic political opponents and religious and ethnic minorities suffer from his persecution much more. I find it particularly disturbing that so many Chinese people seem to find his social-credit surveillance system not only tolerable but attractive. It provides them social services free of charge and tells them how to stay out of trouble by not saying anything critical of Mr. Xi or his regime. If he could perfect the social-credit system and assure a steadily rising standard of living, his regime would become much more secure. But he is bound to run into difficulties on both counts.

To understand why, some historical background is necessary. Mr. Xi came to power in 2013, but he was the beneficiary of the bold reform agenda of his predecessor Deng Xiaoping, who had a very different concept of China’s place in the world. Deng realized that the West was much more developed and China had much to learn from it. Far from being diametrically opposed to the Western-dominated global system, Deng wanted China to rise within it. His approach worked wonders. China was accepted as a member of the World Trade Organization in 2001 with the privileges that come with the status of a less-developed country. China embarked on a period of unprecedented growth. It even dealt with the global financial crisis of 2007-08 better than the developed world.

Mr. Xi failed to understand how Deng achieved his success. He took it as a given and exploited it, but he harbored an intense personal resentment against Deng. He held Deng Xiaoping responsible for not honoring his father, Xi Zhongxun, and for removing the elder Xi from the Politburo in 1962. As a result, Xi Jinping grew up in the countryside in very difficult circumstances. He didn’t receive a proper education, never went abroad, and never learned a foreign language.

Xi Jinping devoted his life to undoing Deng’s influence on the development of China. His personal animosity toward Deng has played a large part in this, but other factors are equally important. He is intensely nationalistic and he wants China to become the dominant power in the world. He is also convinced that the Chinese Communist Party needs to be a Leninist party, willing to use its political and military power to impose its will. Xi Jinping strongly felt this was necessary to ensure that the Chinese Communist Party will be strong enough to impose the sacrifices needed to achieve his goal.

Mr. Xi realized that he needs to remain the undisputed ruler to accomplish what he considers his life’s mission. He doesn’t know how the financial markets operate, but he has a clear idea of what he has to do in 2022 to stay in power. He intends to overstep the term limits established by Deng, which governed the succession of Mr. Xi’s two predecessors, Hu Jintao and Jiang Zemin. Because many of the political class and business elite are liable to oppose Mr. Xi, he must prevent them from uniting against him. Thus, his first task is to bring to heel anyone who is rich enough to exercise independent power.

That process has been unfolding in the past year and reached a crescendo in recent weeks. It started with the sudden cancellation of a new issue by Alibaba’s Ant Group in November 2020 and the temporary disappearance of its former executive chairman, Jack Ma. Then came the disciplinary measures taken against Didi Chuxing after it floated an issue in New York in June 2021. It culminated with the banishment of three U.S.-financed tutoring companies, which had a much greater effect on international markets than Mr. Xi expected. Chinese financial authorities have tried to reassure markets but with little success.

Mr. Xi is engaged in a systematic campaign to remove or neutralize people who have amassed a fortune. His latest victim is Sun Dawu, a billionaire pig farmer. Mr. Sun has been sentenced to 18 years in prison and persuaded to “donate” the bulk of his wealth to charity.

7. Quantum Computing Startups Draw Record Investment – Sarah Krouse

Capital invested in global companies focused on quantum computing and technology—including initial public offerings, mergers and acquisitions, venture capital and private-equity fundraising—has reached $2.5 billion so far this year, according to financial data firm PitchBook. That’s up from $1.5 billion in all of 2020…

…While traditional computers use bits that store data as zeros or ones, quantum computing relies on quantum bits, or qubits, which can be a zero, a one or a combination of both at the same time. That increases the complexity of the computations quantum computers can handle. But qubits are extremely fragile and their surrounding environment can easily disrupt how they work, which makes them prone to errors.

Today’s quantum computers “are not yet at a scale that’s useful to solve problems,” said John Morton, founder and chief technology officer of Quantum Motion, said Tuesday at an industry webinar. Quantum Motion, run by academics from University College London and Oxford, focuses on using qubits based on the silicon in chips that currently power smartphones and laptops.

The startups drawing investment include those building quantum computers that rely on a range of materials and methodologies to help computers scale and become more accurate, as well as firms focused on components of quantum computers and quantum algorithms.

They include Atom Computing, which raised $15 million in July and is building scalable quantum computers out of atoms, and Palo Alto, Calif.–based PsiQuantum, which is working to build a commercially viable large-scale, error-corrected quantum computer.

Also among them is Quantum Generative Materials, a company seeking to use quantum computing technology to develop new materials for batteries and mining. It is partially owned by Comstock Mining, which in June said it was investing $15 million in an initial seed round.

The path to commercialization for quantum computing–focused companies is generally long, and many operate at a loss, betting that their research and development breakthroughs will deliver big payoffs longer term.

IonQ, a company developing quantum computers that announced plans earlier this year to go public via a special purpose acquisition company, revealed in regulatory filings that it has “incurred significant operating losses since inception” and expects to continue losing money for the foreseeable future. It lost $15.4 million in 2020 and said it is in the early stages of generating revenue from a quantum computer it makes available through cloud services like AWS, Google Cloud and Microsoft Azure. After the deal, which is expected to close later this year, IonQ “will be well capitalized, with the ability to fully fund its growth strategy and deliver on its business model—creating long-term value for shareholders,” a spokesperson said.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentionedwe currently have a vested interest in Alphabet (parent of Google Cloud), Amazon (parent of AWS), Microsoft (parent of Microsoft Azure). Holdings are subject to change at any time.

What We’re Reading (Week Ending 22 August 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 22 August 2021:

1. 40 Things I Don’t Know by Age 40 – Ben Carlson

I turn 40 today.

I’ve seen lots of people share the wisdom they’ve gained over the years on their milestone birthdays.

I still have plenty of stuff to learn so here are 40 things I don’t know at age 40:

1. I don’t know why sports losses still put me in a bad mood. You don’t get to pick your sports allegiance as much as you’re born into it. I was born into a Michigan family. I love Michigan football.

I don’t watch sports nearly as much as I once did because little kids don’t have the patience for it but a bad loss (and there have been many) still stings.

It’s a horrible emotional investment yet all sports fans subject themselves to it.

Why do we care about this stuff so much?…

6. I don’t know what took me so long to start eating healthy. Growing up I never watched what I ate. At all.

I played sports, lifted weights and had a relatively fast metabolism. Well, 2 out of those 3 dropped off as I got older.

I really overhauled my diet once twins were in the picture for us. I knew I was going to need more energy. I still eat junk food and carbs but typically only on the weekends or vacations.

The result is I feel healthier at age 40 than I did at age 30…

11. I don’t know if the internet has been a net negative or positive on humanity. The internet has been a huge net positive for me personally. It’s changed the trajectory of my career. It’s allowed me to meet new friends, colleagues and business partners.

It’s given me the opportunity to work from West Michigan for a company headquartered in New York City. This would have been impossible 15-20 years ago.

For others, the internet has broken their brains or made their lives miserable.

The internet makes it far easier to communicate, do business, work and connect with people all around the globe.

It also makes it easier to compare yourselves to others, spread hate, troll and say things to others you wouldn’t dare say in normal life.

12. I don’t know what kind of person I’m going to be at age 60. In some ways, I’m the same as when I was 20. In other ways, I’m a completely different person.

Life is bizarre in that the older you get the more you feel like you’re done improving or changing yet it just keeps happening…

19. I don’t know how much help you can actually provide as a parent when shaping your children. We have boy-girl twins. They have both grown up in the same household, with the same parenting at the exact same time.

Yet they couldn’t be more different, whether it’s their looks or personality or behavior.

Most of us would like to believe we’re shaping lives as parents but I wonder how much control we even have. I guess the best you can do is try to avoid teaching them the worst behaviors and support whoever they turn out to become.

2. Fusion experiment breaks record, blasts out 10 quadrillion watts of power – Tom Metcalfe

Scientists used an unconventional method of creating nuclear fusion to yield a record-breaking burst of energy of more than 10 quadrillion watts, by firing intense beams of light from the world’s largest lasers at a tiny pellet of hydrogen.

Researchers at the Lawrence Livermore National Laboratory in Northern California said they had focused 192 giant lasers at the National Ignition Facility (NIF) onto a pea-size pellet, resulting in the release of 1.3 megajoules of energy in 100 trillionths of a second — roughly 10% of the energy of the sunlight that hits Earth every moment, and about 70% of the energy that the pellet had absorbed from the lasers. The scientists hope one day to reach the break-even or “ignition” point of the pellet, where it gives off 100% or more energy than it absorbs.

The energy yield is significantly larger than the scientists expected and much greater than the previous record of 170 kilojoules they set in February…

…Modern nuclear power plants use nuclear fission, which generates energy by splitting the heavy nuclei of elements like uranium and plutonium into lighter nuclei. But stars can generate even more energy from nuclear fusion, a process of smashing together lighter nuclei to make heavier elements.

Stars can fuse many different elements, including carbon and oxygen, but their main energy source comes from the fusion of hydrogen into helium. Because stars are so large and have such strong gravity, the fusion process takes place at very high pressures within the star.

Most Earthbound efforts to generate energy from fusion, such as the giant ITER project being built in France, instead use a doughnut-shaped chamber called a tokamak to confine a thin plasma of hot, neutron-heavy hydrogen inside strong magnetic fields.

Scientists and engineers have worked for more than 60 years to achieve sustainable nuclear fusion within tokamaks, with only limited success. But some researchers think they will be able to sustain fusion in tokamaks within a few years, Live Science previously reported. (ITER is not projected to do this until after 2035.)

The method developed at Lawrence Livermore National Laboratory is one of a few ways of achieving nuclear fusion without using a tokamak.

Instead, the NFI uses an array of laser-light amplifiers the size of three football fields to focus laser beams on hydrogen fuel pellets in a 33-foot-wide (10 meters) spherical metal “target chamber.” These lasers are the world’s most powerful, capable of generating up to 4 megajoules of energy.

The method was originally designed so that scientists could study the behavior of hydrogen in thermonuclear weapons — so-called hydrogen bombs — but scientists think it could also have applications for generating energy from nuclear fusion.

3. The Metaverse is a Dystopian Nightmare. Let’s Build a Better Reality John Hanke

As a society, we can hope that the world doesn’t devolve into the kind of place that drives sci-fi heroes to escape into a virtual one — or we can work to make sure that doesn’t happen. At Niantic, we choose the latter. We believe we can use technology to lean into the ‘reality’ of augmented reality — encouraging everyone, ourselves included, to stand up, walk outside, and connect with people and the world around us. This is what we humans are born to do, the result of two million years of human evolution, and as a result those are the things that make us the happiest. Technology should be used to make these core human experiences better — not to replace them.

Some might argue that we ought to ditch technology completely and return to a simpler way of life. But we don’t think that’s the answer either. Technology isn’t going away. The benefits of connecting us with information, friends, and family are simply too great. But over the last decades, those benefits have taken a huge toll, increasingly cutting us off from the experiences that we enjoy the most. It’s all too easy to get lulled into a routine of Zoom calls, online shopping, gaming, and scrolling through our social feeds. It encourages behavior toward one another that we would never tolerate in person, and is dividing our society by algorithmically pushing people into bubbles which reinforce the most extreme views.

At Niantic, we ask the question: what if technology could make us better? Could it nudge us get us off the couch and out for an evening stroll or a Saturday in the park? Could it draw us into public space and into contact with neighbors we might never have met? Could it give us a reason to call a friend, make plans with our families, or even discover brand new friends? Collectively, could it help us discover the magic, history, and beauty hiding in plain sight?

If this fresh perspective is the goal, what are we doing to achieve it? For us, it starts with a technology that connects the real world (the atoms) with the digital one (the bits). You could call it the ‘real world metaverse’ to distinguish it from the virtual videogame version, but honestly, I think we are just going to experience it as reality made better: one infused with data, information, services, and interactive creations. This has guided our work to date, both in terms of our first attempts to incorporate these concepts into products like Field Trip, Ingress, and Pokémon GO, and in terms of inventing critical technology to enable them. The core of this isn’t only the computer graphics challenge of adding annotations and animations to the physical world; it’s also — maybe even mainly — about the information, services, and experiences where digital meets physical.

Building the real world metaverse lies at the intersection of two major technical undertakings: synchronizing the state of hundreds of millions of users around the world (along with the virtual objects they interact with), and tying those users and objects precisely to the physical world. The first exists today in the Niantic Lightship platform, which underpins Pokémon GO and all of our products and supports hundreds of millions of users around the world. It means that those millions of users can create, change, and interact with digital objects in the physical world and that experience is consistent and shared by everyone. In the world of software, we call that a ‘shared state’ — we are all seeing the same thing, the same enhancements to the world. If you change something it’s reflected in what I see, and vice versa, for the millions of participants using the system.

Tying all of that precisely to the physical world is an even bigger project. It requires a new kind of map, similar in concept to something like Google Maps, but different because this map is built for computers, not people. It requires an unprecedented level of detail so that a phone or headset can recognize its location and orientation in a highly accurate way anywhere in the world. It is designed to enable the ultimate kind of digital wayfinding and coordination. Think of it as a kind of GPS, but without the satellites and a much higher level of accuracy. Niantic is building that map, in collaboration with our users. This is one of the grand challenges of augmented reality, and it’s the key to making it work the way we want it to — to make the real world come alive with information and interactivity.

Other big opportunities and challenges lie in semantically understanding the world. What are those pixels: an oak tree, a pond? A park bench, a cafe, or a historical building? Human cartographers have been doing this for hundreds of years. The new twist is in using computer vision to do this more or less automatically. Think of the opportunity as an analog to the web crawlers that search the web for pages to be indexed by Google. Today, computer vision powered by deep learning algorithms can provide a basic version of this in real time. In the future, offline processing can extend this to a much higher degree of fidelity and persistently tie this understanding to an ever-evolving AR map of the world. Niantic is pursuing these and other capabilities within the Lightship platform.

4. Other People’s Mistakes – Morgan Housel

But Daniel Kahneman mentions a more important truth in his book, Thinking, Fast and Slow: “It is easier to recognize other people’s mistakes than our own.”

I would add my own theory: It’s easier to blame other people’s mistakes on stupidity and greed than our own.

That’s because when you make a mistake, I judge it solely based on what I see. It’s quick and easy.

But when I make a mistake there’s a long and persuasive monologue in my head that justifies bad decisions and adds important context other people don’t see.

Everyone’s like that. It’s normal.

But it’s a problem, because it makes it easy to underestimate your own flaws and become too cynical about others’.

I try to stop myself whenever my explanation for other people’s behavior – financial or otherwise – is “well, they’re not very smart.” Or greedy. Or immoral. Yeah, sometimes it’s true. But probably less than we assume. More often there’s something else going on that you’re not seeing that makes the behavior more understandable, even if it’s still wrong.

5. Masters of Scale: Rapid Response Transcript – Francis DeSouza – Bob Safian and Francis DeSouza

DESOUZA: Illumina, for the first decade plus of our existence, we used to sell genomic analysis tools into the research market. And then in 2013, we entered the clinical market for the first time through the acquisition of a company called Verinata that did noninvasive prenatal testing.

Now, the way GRAIL started was, we were processing samples from pregnant mothers in our noninvasive prenatal testing lab. One of our scientists, this incredibly brilliant woman, noticed that although the fetal DNA in the blood was normal and healthy, there was something unusual about the maternal DNA. And so, she alerted us, we alerted the doctors to say, “Look, something seems to be off with the mothers here.” The doctors got back to us and said, “No, all the moms are fine, but we’ll stay in touch with them and see how they do.” In all of those cases, the mothers went on to find that they had cancer and didn’t know it.

I remember clearly the meeting at Illumina, and I still get goosebumps when I think about it, where we realized that we could be seeing the signals of cancer in a blood test. And so, we quickly put a team on it in Illumina. This was in the 2014, 2015 timeframe. They worked for over a year and came back and said, “Yeah, it looks like we’re seeing signals for cancer, but there is a lot of work that needs to be done between where we are now and actually having a safe test that we can bring to market. We need to do some very large clinical studies, and we need to hone the test to understand what specifically are we looking for in the blood.”

We knew that would take huge investment, and so we spun out the technology into a company called GRAIL. We put over 40 Illumina people into GRAIL, and we raised, ultimately, over $2 billion. And that’s one of the reasons we wanted to spin it out, to get access to the capital to move this technology as quickly as it could. The GRAIL team worked for a few years, and in the fall of 2019, they published their results. And the test they developed is truly extraordinary. This is a blood test that can identify 50 types of cancers across all stages.

Now, we know cancer kills 10 million people a year around the world, 600,000 here in the U.S. alone. We also know that if you catch cancers early, the patients have a much higher chance of survival. In a lot of cancers, you’ll see the odds of survival can get higher and up to 90 plus percent if you catch it in stage 1 or stage 2. The challenge is that 71% of people who die of cancer, die from cancers that have no screen. In fact, 45 out of the 50 cancers that GRAIL screens for have no screen today, like pancreatic cancer, for example. And so, there’s no ability to catch it early.

And so, when GRAIL published their data at the end of 2019, we realized this was a huge breakthrough and that this would save a lot of lives. That’s sort of how we initiated the process to acquire GRAIL. What we want to do is bring the GRAIL test to market as fast as possible to people around the U.S. and around the world. GRAIL has a terrific technology, and Illumina, we have the commercial presence in over 140 countries around the world. We have the teams that can work on reimbursement and regulatory approval, and so we can dramatically accelerate getting this test into the hands of people whose lives it could save

6. Enterprise Metaverses, Horizon Workrooms, Workrooms’ Facebook Problem – Ben Thompson

I wrote at the end of Metaverses earlier this month:

This is why I don’t think it is absurd that Nadella was the first tech executive to endorse the metaverse as a strategic goal. There is likely to be good business in building private metaverses for private companies, in a not-dissimilar way to Stephenson’s Franchise-Organized Quasi-National Entities made it easy for small-scale entrepreneurs to set up their own franchise-states.

Facebook’s goal is more audacious: the company already serves 3.5 billion users, which means creating a shared reality for over half of the world is a plausible goal. That reality, though, will likely sit alongside other realities, just as Facebook the app sits alongside other social networks. This metaverse is universal, but not exclusive.

What I am skeptical of is the idea of there being one Metaverse to rule them all; we already have that, and in this case the future is, in William Gibson’s turn of phrase, here — it’s just not very evenly distributed. I speak from personal experience: for two decades I have lived and worked primarily on the Internet; it’s where I experience friendship and community and make my living. Over the last year-and-a-half hundreds of millions of people have joined me, as the default location for the work has switched from the office to online (that “online” is primarily experienced at home does not mean that home is intrinsic to the work — “work from home” is a misnomer). This too is an inverse of Snow Crash, where most jobs are in the real world, and recreation in the Metaverse; the future of work is online, and the life one wants to live in the reality of one’s choosing.

I’ve been looking for an opportunity to come back to this point; much of that article was focused on the fact that while Snow Crash had a dystopian real world defined by walled gardens, along with a universal Metaverse, it is the Internet that is in fact defined by walled gardens, while the real world is our shared universal reality. Snow Crash had it backwards. That wasn’t the only thing that was backwards though: in Snow Crash “most jobs are in the real world, and recreation in the Metaverse”, but, thanks in part to COVID, reality is turning out to be something different.

The reason this matters is that the adoption of new technologies requires some sort of forcing function. PCs, for example, were first adopted by enterprises because of the productivity gains they afforded, and then later on by consumers who had already experienced a PC at work (generally speaking of course; there are always exceptions). This is how Microsoft, which has no real idea of how to build a consumer product, briefly became a consumer computing powerhouse: the PC monopoly gifted to them by IBM meant that Windows PCs were the obvious choice for the home.

Smartphones went in the opposite direction: by 2007 almost everyone had a mobile phone of some sort (usually a dumb phone), then Apple came along and offered a compelling consumer product that, under subsidy, wasn’t that much more expensive, and much more useful and entertaining. Only then did consumers demand to use those phones at work.

To date most assumptions about VR — the most obvious manifestation of the metaverse concept — have focused on the consumer use case, primarily gaming. This is why I have long been relatively bearish on virtual reality, especially relative to augmented reality. I wrote about CES 2016 in a Daily Update:

I think it’s useful to make a distinction between virtual and augmented reality. Just look at the names: “virtual” reality is about an immersive experience completely disconnected from one’s current reality, while “augmented” reality is about, well, augmenting the reality in which one is already present. This is more than a semantic distinction about different types of headsets: you can divide nearly all of consumer technology along this axis. Movies and videogames are about different realities; productivity software and devices like smartphones are about augmenting the present.

I argued in The Problem with Facebook and Virtual Reality that this made VR less valuable:

That is the first challenge of virtual reality: it is a destination, both in terms of a place you go virtually, but also, critically, the end result of deliberative actions in the real world. One doesn’t experience virtual reality by accident: it is a choice…

That is not necessarily a problem: going to see a movie is a choice, as is playing a video game on a console or PC. Both are very legitimate ways to make money: global box office revenue in 2017 was $40.6 billion U.S., and billions more were made on all the other distribution channels in a movie’s typical release window; video games have long since been an even bigger deal, generating $109 billion globally last year.

Still, that is an order of magnitude less than the amount of revenue generated by something like smartphones. Apple, for example, sold $158 billion worth of iPhones over the last year; the entire industry was worth around $478.7 billion in 2017. The disparity should not come as a surprise: unlike movies or video games, smartphones are an accompaniment on your way to a destination, not a destination in and of themselves.

That may seem counterintuitive at first: isn’t it a good thing to be the center of one’s attention? That center, though, can only ever be occupied by one thing, and the addressable market is constrained by time. Assume eight hours for sleep, eight for work, a couple of hours for, you know, actually navigating life, and that leaves at best six hours to fight for. That is why devices intended to augment life, not replace it, have always been more compelling: every moment one is awake is worth addressing.

In other words, the virtual reality market is fundamentally constrained by its very nature: because it is about the temporary exit from real life, not the addition to it, there simply isn’t nearly as much room for virtual reality as there is for any number of other tech products.

The point of invoking the changes wrought by COVID, though, was to note that work is a destination, and its a destination that occupies a huge amount of our time. Of course when I wrote that skeptical article in 2018 a work destination was, for the vast majority of people, a physical space; suddenly, though, for millions of white collar workers in particular, it’s a virtual space. And, if work is already a virtual space, then suddenly virtual reality seems far more compelling. In other words, virtual reality may be much more important than previously thought because the vector by which it will become pervasive is not the consumer space (and gaming), but rather the enterprise space, particularly meetings. 

7. Low Rates, More Risk – Michael Batnick

Lower interest rates encourage people to take more risks, in general. There is little question about this.

By taking short-term interest rates to zero, which I had no objection to, the federal reserve “forced” me to find better ways to allocate my cash…

…Okay, wait a minute. If everyone is taking more risk, then who plowed $17 billion into fixed income ETFs in July? And if everyone is taking more risks, then how do we explain this?…

…For years, we’ve seen massive flows into bond funds and ETFs, even with rates low and getting lower. And simultaneously, even with stocks high and going higher, we’ve seen massive flows out of stocks funds and ETFs.

Are lower interest rates pushing up the valuation of stocks? Without a doubt. Are lower interest rates pushing people into SPACs? Eh, I don’t know about this one. People were doing crazy shit with their money in the 90s when the 10-year was at 6%.

I’m taking more risks in an area of my portfolio that I would prefer to have no risk. That’s a direct result of the fed taking rates to zero. But I’m not taking even more risks with areas of my portfolio that are already at risk. I continue to buy index funds every two weeks in my 401(k) and every month in my taxable account. I’m not YOLOing into call options on SPACS. I’m not going all-in on Pudgy Penguins. I’m taking risks, but I’m not sniffing glue.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentionedwe currently have a vested interest in Apple, Facebook, Illumina, and Microsoft. Holdings are subject to change at any time.

What We’re Reading (Week Ending 15 August 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 15 August 2021:

1. Hanging By A Thread – Morgan Housel

Robert E. Lee had one last shot to escape Ulysses Grant’s troops and regroup to gain the upper hand in the Civil War. His plan was bold but totally plausible. All he needed was food for his hungry troops.

An order was put in to have rations delivered to a Virginia supply depot for Lee’s men.

But there was a communication error in Richmond, and the wagons delivered boxes of ammunition but not a morsel of food.

Lee said the mishap “was fatal, and could not be retrieved.” His troops were starving. The Civil War ended two days later.

History hangs by a thread…

…Finance professor Ellroy Dimson says, “risk means more things can happen than will happen.” An important point here is that if none of these big events occurred, something else just as wild and unpredictable could have taken their place. Even when some part of the outcome is the same, the context and little bits of trivia are different in a way that can totally change the final story. America may have joined World War I without the Lusitania’s sinking, but its participation could have been less, or later, or not as popular. That could have shifted how the interwar period in the 1920s and 1930s played out, which would have impacted how World War II occurred, which would have altered the course of the most promising inventions of the 20th century … on and on, endlessly.

I try to keep two things in mind in a world that’s this fragile to chance.

One is to base your predictions on how people behave vs. specific events. Predicting what the world will look like in, say, 2050, is just impossible. But predicting that people will still respond to greed, fear, opportunity, exploitation, risk, uncertainty, tribal affiliations and social persuasion in the same way is a bet I’d take.

Another – made so starkly in the last year and a half – is that no matter what the world looks like today, and what seems obvious today, everything can change tomorrow because of some tiny accident no one’s thinking about. Events, like money, compound. And the central feature of compounding is that it’s never intuitive how big something can grow from a small beginning.

2. How Millennial Investors Lost Millions on Bill Ackman’s SPAC – Michelle Celarier

Last fall, he started hearing about the boom in SPACs, and Ackman’s Tontine stuck out: It was the largest, with more than $4 billion to shop for a company. Ackman, a legendary hedge-fund manager who’d just made $2.6 billion on a timely Covid short bet, was behind the SPAC, and he claimed it was the most investor-friendly one ever.

In November, when Ackman told investors in his hedge fund that he expected to be able to announce a deal with a target company by the end of the first quarter, the psychiatrist jumped in. 

The SPAC market was red hot, with SPACs sponsored by venture-capital guru Chamath Palihapitiya and former Citigroup investment banker Michael Klein also soaring. In early February, Ackman tweeted a rap video about SPACs minting money, and Redditors went crazy. “That video literally single-handedly caused the stock to rise 10 percent,” recalls the psychiatrist.

The sense of urgency was palpable. “It was like, okay, this is coming very soon. If you don’t get in now, you’re going to miss it,” he says. “There’s just that frenzy of wanting to get in on the ground floor. It’s like getting in an IPO at the ground level” — something that is unavailable to retail investors and a key reason why they buy shares of SPACs before deals are announced.

By March, the psychiatrist was plunking all of his capital into call options on Tontine, which goes by the stock symbol PSTH. “Whatever money I had, I pretty much was putting it all into buying more of it,” he says.

At one point, his stake in Tontine was worth over $1 million on paper. He lost it all when his June 18 calls — with a strike price of $25 — expired worthless; the stock was around $23 at the time.

The Reddit gang had convinced themselves that Ackman’s Tontine was going to merge with a unicorn like Stripe, the online payments processor, or Elon Musk’s Starlink — largely because Ackman himself had joked about “marrying a unicorn” when he launched his SPAC last July. The media was also obsessed with the unicorn theme. But most everyone seemed to ignore the fact that Tontine’s prospectus listed unicorns as just one type of company that Ackman was chasing.

And when a deal was finally disclosed on June 4, Tontine’s partner wasn’t a unicorn, the moniker for a private startup valued at more than $1 billion. Moreover, there would be no merger. In a highly unusual move, Tontine had agreed to take a 10 percent stake in the upcoming spinoff of Universal Music Group from French conglomerate Vivendi. There would be money left over for another deal and a chance to get in on the ground floor of a third vehicle. 

The structure was too complicated for both investors and their brokerages to quickly unpack, and the stock, along with the warrants and options attached to it, tanked. Within weeks, the Securities and Exchange Commission stunned Ackman, essentially killing the deal by telling his lawyers that it did not meet the New York Stock Exchange’s requirements for a SPAC — even though Ackman said on CNBC that the NYSE had given him the go-ahead months earlier.

By the time the deal fell apart, the psychiatrist’s savings had already evaporated. He is now scrambling to make quarterly tax payments to the IRS, while owing $350,000 in student loans.

“I considered this a safe, calculated bet,” he says. So did a lot of people, including 16 others II interviewed by phone, Zoom, direct message, or in person. But as they all learned, there is little safety in SPACs — especially in the call options on those that haven’t found a partner. 

3. Magic beans – Josh Brown

Imagine the chutzpah it takes to say to yourself that you know definitively what the global economy is going to look like in six months. Now imagine thinking you could take this certainty about the future and use it to predict exactly which investment markets would rise and fall as a result – so not only can you see the economy’s future, but you can predict how all of the other investors will react to it!

Now imagine saying you could do this sort of thing consistently, out loud in front of other people.

Now imagine charging them money for it.

At this point, you’re selling magic beans. A talking dog. A singing frog. A goose that lays golden eggs. You’re a medicine show.

When I explain like this, the whole notion sounds crazy. Crazy sells.

The internet is filled with people who will believe nearly anything they read, if presented in the right circumstances. In part, it’s because they don’t spend a lot of time considering how unlikely it is that someone is willing to sell you the future for twenty dollars a month. In part, it’s because they do know better, but deep down they still want to believe. So if you speak with enough conviction, and don’t get asked too many questions about whether or not you’ve been right about these predictions historically, you can make a lot of money. The outcome doesn’t matter, you’re filling a void of rampant doubt with the opiate of your professed certainty and confidence.

So what’s the right answer? For me, it’s always been accepting the limitations inherent in trying to understand the future and arranging your bets in such a way that you can succeed despite a multitude of potential outcomes. Building durable portfolios, expecting risk to eventually be rewarded and accepting the fact that there will be good times and bad.

4. Sebastian Mejia – Mastering On-Demand Convenience Patrick O’Shaughnessy and Sebastian Mejia

Patrick: [00:08:43] Can you talk about the early network dynamics where you had to go get couriers, convince them to log into the app and you had to go get demand? What was that like? What literally was the first city or first few order? This free text thing sounds extremely unique and different than the structured inventory that you saw from basically every other app. How did that work? How did you figure out how much you needed to pay the couriers? All the basics of like the unit economics must’ve been fascinating to figure out on the fly, how did you do that? What was it like?

Sebastian: [00:09:12] Previously, we had experience building companies, but it was more enterprise. And we were basically selling software to supermarket. So we got some sort of idea of how the industry worked, but we wanted to do something completely different, focused on the customer. So we basically started building and initially, that convenience product had a very limited assortment. I’m talking about 1,000, 2,000 SKUs. And basically said, “Well, we already have this consumer-facing app, it’s going to be very easy to build all of the logistics behind it.” And of course, that’s not the case. When we initially launched, we had no traction whatsoever. So it was literally us trying to understand what was going on with the customers, why they were not engaging with the product. So Rappi from the beginning, had this DNA of being very hyper-local and very guerrilla. And that meant that we literally went out to get customers onboarded and talking to customers. And we were basically offering donuts in exchange of downloads.

And that was our customer acquisition costs. And we also had to do the same thing on the courier front. And what are they interesting insights is that although eCommerce is still very small and it was way smaller back then, you had a culture of delivery. You had a culture of calling the restaurant, calling the store, and there were couriers already working. There were just completely disconnected. There was no network bringing them together, making them productive, making them more efficient in the way they routed. So we didn’t have to go against, let’s say culture. We didn’t have to go and educate couriers and even go ahead and educate deeply the customers, because they already understood that delivery was this thing that existed. We just applied technology to organize all of these agents and these add on let’s say, in the physical world to make them function more efficient.

I remember us doing the deliveries early on. I remember I was being scooters, making drops, testing the courier app. And from there, we started to evolve the product and we started to also engage couriers to make it better. For us, part of the mission was super critical on how are we going to make these guys not only more efficient, but we’re going to make sure that they are paid very well, and that they’re making significant more than their minimum wage. And I’m only talking about two sides of the marketplace, right? If you introduced the merchant side of the marketplace, it adds another layer of complexity. And at the beginning, when we launched, we really didn’t understand how to integrate with catalog of a supermarket. How do you actually integrate with a 30,000 SKU store? How do you make sure that you have relevant inventory on real time? How did you integrate with a restaurant?

Rappi, when we launched, we didn’t even have tablets. We didn’t have integrations with POS systems. So it was literally us going placing the order as if it was a random customer. A lot of the things were built as we learn. And many of the things had to be built from first principles very early on, because it’s not that you have a lot of tech stack or logistics stacks that you can just jump on and use to launch. It’s one of the challenges of building in the emerging market. But I also think it’s an advantage because you get to build these very core competencies that tomorrow are going to be very valuable business, right? I see ourselves doing all sorts of services on top of these piece of the stack, whether it’s logistics, whether it’s customer service, marketing tools, etc.

Patrick: [00:12:37] When I talked to the founders of Loft, they had an interesting, similar experience where there’s no MLS system. So there was no proper database of apartments or homes or something they could tap into. They basically had to build it themselves. I’ve got this obsession with companies that make previously non legible data legible to some system tend to do really, really well. And so I’m really interested how you solve that problem in these specific cases. So that 30,000 SKU supermarket, or if there’s a restaurant with 200 menu items, literally, what was the process of getting that legible to your software in your platform? How did you do?

Sebastian: [00:13:11] The supermarket and the restaurant business is quite different. I think in the restaurant, you basically have two options to actually integrate with what happens inside the business. You can use a tablet or you can use an integration with the POS. So you’re basically getting as close as possible to the kitchen that gives the restaurant owner the ability to actually update the menu, the ability to pick the cooking time and selected depending on the dish that you’re cooking. So you’ve got to go really deep in the operations of the restaurant. Then when you’re going through the supermarket space or the retailers, we’re dealing with inventory per store, you’re dealing also with inventory levels. So you need to make sure that you have the assortment, but you also need to have some sort of measurement or way of identifying where certain products are being stocked out. And that’s a big, big challenge that has a lot of different angles that you can tackle it from machine learning to project; what are going to be the products that are stocked out with more probability, to just better integrations with the supermarkets.

Not all of these companies have a proper API where you can actually connect with and understand what is the assortment that they have in the store. So you basically end up using flat files, and you need to have data that is coming in. You have to clean that data in so it connects actually with your core catalog, which is the nervous system of any type of eCommerce business. So that represents a lot of different challenges. Today Rappi is operating with more than 200,000 points of sale from restaurants to retailers of all sorts. So that data challenge, I think, is very, very intriguing. It’s something that we are investing a lot of energy and time. And I wouldn’t say we are fully on that plays where we can say, “Look, this is something that we mastered,” because there’s a lot of complexity. Bt I also think it’s one of the most interesting aspects of this business because local means that you’re integrating such a deep way with the local economy that you’re creating all of these modes and all of these integrations that are just very hard to replicate.

Patrick: [00:15:21] Is there a good example of that? I want to understand what you mean by local. Is it measured in blocks? Is it measured in the equivalent of a zip code? What is local and how different might one unit be from a neighboring unit and in what ways?

Sebastian: [00:15:34] We could be talking about two kilometer radius for a specific zone. And then it’s not only how you actually draw the zone in a city. You also have Latin America with a lot of income disparity. So it’s like your perfect Manhattan. It’s much more mixed, and you can have a very wealthy neighborhood next to a neighborhood that is not wealthy at all. So you have to navigate all of that hyper locality aspect. And then once you set those polygons, you’re basically delivering inside those zones. And then what I mean by local is that you also have to integrate with the stores inside that specific zone. You have to position the couriers inside that specific zone.

But once you do that, the marketplace starts to thrive because the customer experience is amazing. 10, 30 minute delivery. The courier experience is amazing because they’re super productive. You don’t have to do a lot of long distance. Structurally, that also means that you can deliver in a very affordable way. As a customer, you’re paying $1 to $1,50, then you’re still allowing the couriers to make two times the minimum wage. So the model works really, really well. And then you have to have all of the dimension of catalog really, really tied into what you do. And by that, I mean all of those integrations with inventories, with catalogs as real time as possible. So that, in my view, is a very, very hard thing to replicate. That’s why I have this idea that if you look at all of the eCommerce companies in the world, the majority of them that deal with, let’s say, infrastructure or the ones that really thrive in their specific markets tend to be local with very few exceptions. And the exceptions are much more the companies that do drop shipping or that are exporting from China into the world.

But if you really understand that you gotta deliver fast, the companies need to build a local presence, and it’s hard for a foreign company to actually replicate this because of the level of depth at which you need to operate.

5. Eternal Change for No Energy: A Time Crystal Finally Made Real Natalie Wolchover

A novel phase of matter that physicists have strived to realize for many years, a time crystal is an object whose parts move in a regular, repeating cycle, sustaining this constant change without burning any energy.

“The consequence is amazing: You evade the second law of thermodynamics,” said Roderich Moessner, director of the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany, and a co-author on the Google paper. That’s the law that says disorder always increases.

Time crystals are also the first objects to spontaneously break “time-translation symmetry,” the usual rule that a stable object will remain the same throughout time. A time crystal is both stable and ever-changing, with special moments that come at periodic intervals in time.

The time crystal is a new category of phases of matter, expanding the definition of what a phase is. All other known phases, like water or ice, are in thermal equilibrium: Their constituent atoms have settled into the state with the lowest energy permitted by the ambient temperature, and their properties don’t change with time. The time crystal is the first “out-of-equilibrium” phase: It has order and perfect stability despite being in an excited and evolving state.

6. What’s an API? – Justin Gage

An API is a group of logic that takes a specific input and gives you a specific output. A few examples:

  • If you give the Google Maps API an address as an input, it gives you back that address’s lat / long coordinates as an output
  • If you give the Javascript Array.Sort API a group of numbers as an input, it sorts those numbers as an output
  • If you give the Lyft Driver API a start and finish address as an input, it finds the best driver as an output (I’m guessing)

When engineers build modules of code to do specific things, they clearly define what inputs those modules take and what outputs they produce: that’s all an API really is. When you give an API a bunch of inputs to get the outputs you want, it’s called calling the API. Like calling your grandma.

Inputs

An API will usually tell you exactly what kind of input it takes. If you tried putting your name into the Google Maps API as an input, that wouldn’t work very well; it’s designed to do a very specific task (translate address to coordinates) and henceforth it only works with very specific types of data. Some APIs will get really into the weeds on inputs, and might ask you to format that address in a specific way. 

Outputs

Just like with inputs, APIs give you really specific outputs. Assuming you give the Google Maps API the right input (an address), it will always give you back coordinates in the exact same format. There’s also very specific error handling: if the API can’t find coordinates for the address you put it, it will tell you exactly why. 

7. Jim Ling – Chris Tucker

Through the Sixties and early Seventies, conglomerate-in Texas and throughout the country -meant Jim Ling, creator of the huge Dallas-based Ling-Temco-Vought (LTV). How big was LTV? Massive.

At its peak in 1969, Ling’s company controlled Wilson, the nation’s largest producer of sporting goods and its third-largest meatpacker; Jones and Laughlin, America’s sixth-largest steel company; Braniff, the eighth-largest airline; and Vought, the eighth-largest defense contractor. Toss in a string of other companies with their innumerable subsidiaries and you have Ling-Temco-Vought, at the time the 14th-largest company in America.

How big was LTV? So big, some say, that only the U.S. government was big enough to stop it. Calling LTV “a force destructive of competition,” the Justice Department filed an antitrust suit to force LTV to give up Jones and Laughlin. Ling, not his lawyers, devised a settlement to placate the feds.

How big was LTV? So vast, according to some observers, that not even the man who created it really understood its inner workings. And Ling, an idiosyncratic genius, was finally caught up in a swirl of circumstances-market reversals, government harassment, personal conflicts with associates-that led to the famed Palace Revolt of 1970, when Ling was booted out of the company he built.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentionedwe currently do not have a vested interest in them. Holdings are subject to change at any time.

What We’re Reading (Week Ending 01 August 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 01 August 2021:

1. China Discovers the Limits of Its Power – Michael Schuman

The dispute between Australia and China has been brewing for years. Like the U.S. and other democracies, Australia embraced engagement with China, and the two economies became entwined in a highly profitable symbiotic relationship: Australia’s treasure trove of natural wealth became indispensable to China’s rapidly expanding industrial machine. The countries even entered into a free-trade agreement in 2015.

The ink had barely dried, however, when Canberra began to grow nervous about Chinese President Xi Jinping’s bellicose foreign policy. Turnbull, who as prime minister from 2015 to 2018 was instrumental in forging Australia’s response, wrote in his book A Bigger Picture that China “became more assertive, more confident and more prepared to not just reach out to the world … or to command respect as a responsible international actor … but to demand compliance.”

Australia more openly criticized China’s encroachments on the South China Sea—vital for Australian shipping—where Beijing built military installations on man-made islands to solidify its contested claim to nearly the entire waterway. Turnbull also grew alarmed by the sums of Chinese money sloshing around Australian politics, spent to sway government policy in China’s favor. That led to new legislation designed to curtail foreign influence. Then in 2018, Turnbull’s government banned Chinese telecom giant Huawei from supplying equipment for Australia’s 5G networks, considering it too much of a security risk to essential infrastructure. Relations really fell off a cliff in April 2020, when current Prime Minister Scott Morrison’s government called for an independent investigation into the origins of the coronavirus outbreak—a prickly issue in Beijing, where such demands are perceived as politically motivated efforts to tarnish China.

Beijing duly went ballistic. (Hu’s chewing-gum comment was part of the angry response.) To force Canberra to back down, the Chinese government unsheathed what has become its weapon of choice against recalcitrant nations: economic coercion. Among other measures, Chinese authorities suspended the export licenses of major Australian beef producers; imposed punitive tariffs on barley and wine; and instructed some power plants and steel mills to stop buying Australian coal. In all, Wilson, of the Perth USAsia Centre, figures that Australia lost $7.3 billion in exports over a 12-month period. Some industries have been hit especially hard: The rock-lobster industry, almost totally dependent on Chinese diners, was decimated after Beijing effectively banned the delicacy.

Canberra wouldn’t budge, though. “We have to simply stand our ground. If you give into bullies, you’ll only be invited to give in more,” Turnbull told me. “There is a lot to be said for nuance and artful diplomacy, but you can’t compromise on your core values and your core interests.”

So far at least, the Australians haven’t had to. Beijing hasn’t been able to inflict sufficient pain to compel Canberra to concede. Wilson notes that the sacrificed exports amount to a mere 0.5 percent of Australia’s national output—not pocket change, but hardly a crisis, either. A few industries have adapted by diversifying their customer bases. Some coal blocked by China was redirected to buyers in India. And there was a limit to how hard Beijing could squeeze: Australian iron ore is the lifeblood of China’s construction industry, and Australian lithium underpins the Chinese electric-vehicle industry.

2. ‘The Ledger and the Chain’ Review: Human Cost – Harold Holzer

Isaac Franklin, already an experienced slave-driver, joined forces in the 1820s with his nephew John Armfield to create a human-trafficking juggernaut. The trans-Atlantic slave trade had been illegal since 1808, but no laws prevented cash-strapped owners from separating families and designating “surplus” men, women and children for deportation to places in the country where demand for forced labor far outstripped supply. The result was a “federally protected internal market for human beings.” By the mid-1830s, Franklin and Armfield’s “slave factory,” as one abolitionist called it, was trafficking up to 1,200 enslaved people each year—with much profit and no regrets. Originally headquartered at an innocuous-looking Alexandria, Va. town house—its high walls concealed outdoor slave pens and a “black hole” dungeon in the cellar—the enterprise grew exponentially as prices soared. Eventually a third colleague, Richmond-based Rice Ballard, helped widen the firm’s reach.

The trio specialized in driving enslaved people into Mississippi and New Orleans, where planters looking to expand their rice, sugar and cotton crops lined up to offer hundreds of dollars each for field hands, house servants and, as Mr. Rothman reminds us, sex slaves. The traders took turns driving coffles of heavily shackled, ill-clad, barely fed chattel as many as 1,000 miles on foot to be sold publicly at outdoor auctions or hotel lobbies. The firm became the first to acquire ships of its own, so that they could transport thousands more from the Chesapeake in stultifying confinement below decks. Those people who took ill in sweltering holding pens, at sea, or on forced marches received only enough attention to preserve their market value. Those who succumbed to death from measles, cholera, smallpox, starvation or exhaustion were left behind like scrap. Along the way, guards intimidated adult males with whips and rifles and routinely dragged women into the woods to rape them.

Mr. Rothman has done an astounding amount of research into period narratives testifying to the brutality endured by trafficking victims. He also uncovered many gruesome period advertisements for “Likely Slaves” and “Fancy” women (translation: candidates for forced sex). The author acknowledges that he often grieved over the material he uncovered, and “The Ledger and the Chain” can be equally painful to read.

The “ledger” part of the narrative presents mind-numbing data on the business side of slave-trading and its reliance on a colluding network of Southern and Northern banks, insurance companies, cotton brokers, judges and sheriffs. One cannot help but be reminded of the compulsive Nazi record-keeping of a century later. Then there are the parallel, tragic stories of the “chain”—the physical and psychological terror that involuntary relocation exacted on defenseless families and individuals. What Mr. Rothman calls “the desperation, and the rage of the enslaved . . . subjected to white whims” still tear at the heart.

Though antislavery newspapers periodically singled out Franklin and Armfield as “Cannibals” who “trade in blood,” the partners survived the period not only unmolested but ultimately in splendor. By the time some Southern states finally began banning domestic slave imports, the three had bought lavish town homes and bucolic plantations, acquired (and mistreated) their own slaves, and in semi-retirement gained community respect equal to their economic power. Seldom mentioned within white society was that, as younger men, each also had used enslaved women for their pleasure, boasting lasciviously to each other about the “hard work” required of their “one eyed men.” When Franklin and Armfield married white women, they simply got rid of their non-consensual sex partners along with the sons and daughters they had produced. How was it possible, asked one anguished rape victim as Rice Ballard arranged for her banishment, “for the father of my children to sell his own offspring?” Such appeals fell on deaf ears.

3. Engineers of the Soul: Ideology in Xi Jinping’s China by John Garnaut – Bill Bishop

In Xi’s view, shared by many in his Red Princeling cohort, the cost of straying too far from the Maoist and Stalinist path is dynastic decay and eventually collapse.

Everything Xi Jinping says as leader, and everything I can piece together from his background, tells me that he is deadly serious about this totalising project.

In retrospect we might have anticipated this from the Maoist and Stalinist references that Xi sprinkled through his opening remarks as president, in November 2012.

It was made clearer during Xi Jinping’s first Southern Tour as General Secretary, in December 2012, when he laid a wreath at Deng’s shrine in Shenzhen but inverted Deng’s message. He blamed the collapse of the Soviet Union on nobody being “man enough” to stand up to Gorbachev and this, in turn, was because party members had neglected ideology. This is when he gave his warning that we must not forget Mao, Lenin or Stalin.

In April 2013 the General Office of the Central Committee, run by Xi’s princeling right hand man, Li Zhanshu, sent this now infamous political instruction down to all high level party organisations.

This Document No. 9, “Communique on the Current State of the Ideological Sphere”, set  “disseminating thought on the cultural front as the most important political task.” It required cadres to arouse “mass fervour” and wage “intense struggle” against the following “false trends”:

  1. Western constitutional democracy – “an attempt to undermine the current leadership”;
  2. Universal values of human rights – an attempt to weaken the theoretical foundations of party leadership.
  3. Civil Society – a “political tool” of the “Western anti-China forces” dismantle the ruling party’s social foundation.
  4. Neoliberalism – US-led efforts to “change China’s basic economic system”.
  5. The West’s idea of journalism – attacking the Marxist view of news, attempting to “gouge an opening through which to infiltrate our ideology”.
  6. Historical nihilism – trying to undermine party history, “denying the inevitability” of Chinese socialism. 
  7. Questioning Reform and Opening – No more arguing about whether reform needs to go further.

There is no ambiguity in this document. The Western conspiracy to infiltrate, subvert and overthrow the People’s Party is not contingent on what any particular Western country thinks or does. It is an equation, a mathematical identity: the CCP exists and therefore it is under attack. No amount of accommodation and reassurance can ever be enough – it can only ever be a tactic, a ruse.

Without the conspiracy of Western liberalism the CCP loses its reason for existence. There would be no need to maintain a vanguard party. Mr Xi might as well let his party peacefully evolve.

We know this document is authentic because the Chinese journalist who publicised it on the internet, Gao Yu, was arrested and her child was threatened with unimaginable things. The threats to her son led her to make the first Cultural Revolution-style confession of the television era.

In November 2013 Xi appointed himself head of a new Central State Security Commission in part to counter “extremist forces and ideological challenges to culture posed by Western nations”. 

Today, however, the Internet is the primary battle domain. It’s all about cyber sovereignty. 

4. DeepMind’s AI has finally shown how useful it can be Grace Browne

Marcelo Sousa, a biochemist at the University of Colorado Boulder, had spent ten years trying to crack a particularly tricky puzzle. Sousa and his team had collected reams of experimental data on a single bacterial protein linked to antibiotic resistance. Working out its structure, they hoped, would help to find inhibitors that could stop that resistance from building. But, year after year, the puzzle remained unsolved. Then along came AlphaFold. Within 15 minutes, DeepMind’s machine learning system had solved the structure.

It’s the kind of result that could soon be repeated in labs across the world. In a paper published in the journal Nature, DeepMind has released over 350,000 predicted protein structures. Included in that is almost the entirety of the human proteome, the proteins that make up the human body. Within these predicted structures could lie key insights into diseases such as cancer and Alzheimer’s, the possibility of new drugs and even better ways to recycle plastic.

To put that number into context, the Universal Protein database, a collection of all the proteins that science has uncovered thus far, contains over 180 million protein sequences. These protein sequences tell us how the amino acids in a protein are ordered, but that’s only the beginning of the puzzle. To really understand how proteins function in the body, we need to know how that sequence determines the 3D structure of the protein – and that is a much more difficult task than simply knowing the right order of amino acids.

Of those 180 million protein sequences, scientists have so far worked out the structure of just 180,000 proteins. DeepMind’s new database provides predictions for more than double the number of known protein structures to date. Now biologists will be able to work on understanding how proteins interact and function – and beyond that, designing new proteins, enabling quicker drug discovery, deciphering disease-causing gene variations and more. “There’s much more to proteins than structure, and so we need to bring it together,” says Janet Thornton, a director emeritus of EMBL’s European Bioinformatics Institute. “It’s one component in that broader understanding of how life works.”

In the coming months, the AlphaFold team plans to release 100 million protein structures. “We’ll go from protein structures being a very precious resource to [them] dropping at every street corner,” says John Jumper, AlphaFold lead researcher.

AlphaFold cracked the protein folding problem back in December 2020, when the DeepMind team won at CASP, the Critical Assessment of Protein Structure Prediction. At the time, the company promised it would make the data and code openly available. Less than eight months later, in July 2021, DeepMind published AlphaFold 2’s full code and methodology in Nature, and now it has announced that it will all be free to use through a partnership with the European Molecular Biology Laboratory (EMBL) in order to share this massive resource, which will be called the AlphaFold Protein Structure Database. “We believe that this represents the most significant contribution AI has made to advancing the status of scientific knowledge to date,” DeepMind’s CEO and co-founder Demis Hassabis said at a press briefing.

5. Twitter thread on how Robinhood’s insiders are enriched during its IPO Christopher Bloomstran

For those that haven’t read Robinhood’s 360-page S-1 and subsequent registration amendment, some brief observations follow on some of the most egregious aspects of one of the most one-sided, enrich the insider casino offerings I’ve ever seen, and there have been some doozies. 1/…

…Robinhood, who in December paid a $65 million fine (without admitting or denying guilt, wink) for best execution and payment for order flow alleged violations, will raise on the order of $2.3 billion from new shareholders in its upcoming IPO. What does The IPO investor get? 3/

The expected $2.3B brought to the party by new shareholders represents almost 30% of all of capital raised since 2013, including proceeds raised in the offering. For their money these new “investors” will only own 7% of the company and far less voting rights. Dilution, baby. 4/…

…New shareholders will bring $2.3B to the party, over 29% of all of the capital raised since 2103. For their money they will own 7% of the company. Did I already mention dilution? Wait until you see the dilution in book value and evisceration of per share book value. 20/

Cash in the firm will total about $7 billion with the addition of proceeds from the IPO. So how do you get to a ~$34B valuation? On fundamentals, 2020 REVENUES totaled $959m. 3/31 quarterly revs were $522m & 6/30 are estimated by the company at a range of $546 and $574m. 21/

At the midpoint, sequential revenues were up 7.3%, growing fast but decelerating in a hurry…In fact, monthly revenues in March of this year actually declined from February. The company reports $81 billion in assets under custody at March 31 and 18 million accounts. 22/

That works out to a whopping $4,444 per account (the median must be even WAY lower). The company further reports annual revenue per user of $137. No doubt some averaging is involved, but what they don’t report is that $137 in revenues from a $4,444 account is 3% per year. 23/

On those 18 million $4,444 accounts, total assets under custody break down as:
$65 billion in equities (AMC, GME & TSLA for sure)
$2B options
$11.6B crypto (up from $3.5B at 12/31 & $481m a year ago)
$7.6B cash
($5.4B) margin
Total assets under custody total $81B. 24/

14% of customer assets are crypto! You don’t see any bonds. You don’t see any mutual funds. Half of transaction revenue, which are 81% of firm revenues, come from OPTION rebates, while options at market value account for only $2B of customer assets. Tell me its not a casino. 25/

Option trading should definitely be allowed for the inexperienced, small, retail “investor.” This is how you get experience, and initiated. On assets held as crypto, these “assets” can neither be transferred in our ACAT’d out. They must be transacted while in the hood. 26/…

…17% of firm revenues were earned in Q1 from crypto transaction “rebates,” up from 4% in the prior quarter. Wile $HOOD supports 7 cryptos for trading, no less than 34% of crypto revenues were from DOGECOIN! Hilarious reading this. I’m probably wrong about this being a casino. 28/

In the first quarter alone, “customers” traded $88B of crypto against $11.6B held at 3/31 and $3.5B at year-end 2020. Definitely not a casino, but a platform encouraging the long-term ownership of investments. You think new “customers” learn all about the coffee can approach? 29/

6. Thinking About Macro – Howard Marks

In January’s memo Something of Value, I described the way my genetic makeup, early experiences, and success in blowing the whistle on some unsustainable financial innovations and market excesses had turned me into something of a knee-jerk skeptic.  My son Andrew called this to my attention while our families lived together last year, and what he said struck a responsive chord.

The old me likely would have latched onto today’s high valuations and instances of risky behavior to warn of a bubble and the subsequent correction.  But looking through a new lens, I’ve concluded that while those things are there, it makes little sense to significantly reduce market exposure:

  • on the basis of inflation predictions that may or may not come true,
  • in the face of some very positive counterarguments, and
  • when the most important rule in investing is that we should commit for the long run, remaining fully invested unless the evidence to the contrary is absolutely compelling.

Finally, I want to briefly touch on the level of today’s markets.  Over the four or five years leading up to 2020, I was often asked whether we were in a high yield bond bubble.  “No,” I answered, “we’re in a bond bubble.”  High yield bonds were priced fairly relative to other bonds, but all bonds were priced high because interest rates were low.

Today, we hear people say everything’s in a bubble.  Again, I consider the prices of most assets to be fair relative to each other.  But given the powerful role of interest rates in determining those prices, and the fact that interest rates are the lowest we’ve ever seen, isn’t it reasonable that many asset prices are the highest we’ve ever seen?  For example, with the p/e ratio of the S&P 500 in the low 20s, the “earnings yield” (the inverse of the p/e ratio) is between 4% and 5%.  To me, that seems fair relative to the yield of roughly 1.25% on the 10-year Treasury note.  If the p/e ratio were at the post-World War II average of 16, that would imply an earnings yield of 6.7%, which would appear too high relative to the 10-year.  That tells me asset prices are reasonable relative to interest rates.

Of course, it’s one thing to say asset prices are fair relative to interest rates, but something very different to say rates will stay low, meaning prices will stay high (or rise).  And that leads us back to inflation. It isn’t hard to imagine rates increasing from here, either because the Fed lifts them to keep the economy from overheating or because rising inflation requires higher rates in order for real returns to be positive (or both). While the possibility of rising rates (and thus lower asset prices) troubles us all, I don’t think it can be said that today’s asset prices are irrational relative to rates.

7. MUM: A new AI milestone for understanding information – Pandu Nayak

When I tell people I work on Google Search, I’m sometimes asked, “Is there any work left to be done?” The short answer is an emphatic “Yes!” There are countless challenges we’re trying to solve so Google Search works better for you. Today, we’re sharing how we’re addressing one many of us can identify with: having to type out many queries and perform many searches to get the answer you need.

Take this scenario: You’ve hiked Mt. Adams. Now you want to hike Mt. Fuji next fall, and you want to know what to do differently to prepare. Today, Google could help you with this, but it would take many thoughtfully considered searches — you’d have to search for the elevation of each mountain, the average temperature in the fall, difficulty of the hiking trails, the right gear to use, and more. After a number of searches, you’d eventually be able to get the answer you need.

But if you were talking to a hiking expert; you could ask one question — “what should I do differently to prepare?” You’d get a thoughtful answer that takes into account the nuances of your task at hand and guides you through the many things to consider.

This example is not unique — many of us tackle all sorts of tasks that require multiple steps with Google every day. In fact, we find that people issue eight queries on average for complex tasks like this one. 

Today’s search engines aren’t quite sophisticated enough to answer the way an expert would. But with a new technology called Multitask Unified Model, or MUM, we’re getting closer to helping you with these types of complex needs. So in the future, you’ll need fewer searches to get things done…

…Language can be a significant barrier to accessing information. MUM has the potential to break down these boundaries by transferring knowledge across languages. It can learn from sources that aren’t written in the language you wrote your search in, and help bring that information to you.

Say there’s really helpful information about Mt. Fuji written in Japanese; today, you probably won’t find it if you don’t search in Japanese. But MUM could transfer knowledge from sources across languages, and use those insights to find the most relevant results in your preferred language. So in the future, when you’re searching for information about visiting Mt. Fuji, you might see results like where to enjoy the best views of the mountain, onsen in the area and popular souvenir shops — all information more commonly found when searching in Japanese.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentionedwe currently have a vested interest in Alphabet (parent of Google). Holdings are subject to change at any time.

What We’re Reading (Week Ending 25 July 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 25 July 2021:

1. The Highest Forms of Wealth – Morgan Housel

Money buys happiness in the same way drugs bring pleasure: Incredible if done right, dangerous if used to mask a weakness, and disastrous when no amount is enough.

The highest forms of wealth are measured differently.

A few stick out:

1. Controlling your time and the ability to wake up and say, “I can do whatever I want today.”

Five-year-old Franklin Roosevelt complained that his life was dictated by rules. So his mother gave him a day free of structure – he could do whatever he pleased. Sara Roosevelt wrote in her diary that day: “Quite of his own accord, he went contently back to his routine.”

There’s a difference between working hard because you want to and working hard because someone else told you you had to, and how to do it, and when to do it. Even if you’re doing the same work, the independence of doing it on your own terms changes everything in the same way that sleeping in a tent is fun when you’re camping but miserable when you’re homeless.

To me, the highest form of wealth is controlling your time.

Wealth can lead to time independence, but it’s never assured. It can be the opposite, as whatever created the wealth – whether a company or an inheritance – creates a claim on your time in equal proportion to its financial reward. A great number of CEOs fall into this category: They have an abundance of wealth and not a moment of free time or scheduling control even when it’s desired, which is its own form of poverty.

Charlie Munger summed it up: “I did not intend to get rich. I just wanted to get independent.” It’s a wonderful goal, and harder to measure than net worth.

2. How to Predict a Market Crash – Ben Carlson

I’m not actually sure if Dent believes each one of his predictions but his latest interview provides some clues as to how the most preeminent market soothsayers are able to make market crash predictions over and over again.

Here’s how to predict a market crash without ever admitting you were wrong if it doesn’t come true:…

…Move the goalposts when you’re wrong. Once you’ve gone out on a limb with a prediction for a crash with a specific time frame in mind, eventually you have to pay the piper. Either you’re right or you’re wrong.

And since market crashes are fairly infrequent, if you keep predicting one you’re going to be wrong way more often than right.

You have two options when you make a prediction that turns out to be wrong:

(1) Admit you were wrong.
(2) Move the goalposts.

Let’s see which one Dent went with since he’s been predicting “the biggest crash ever” for years:

[Question] “You told me in an interview this past March that “the biggest crash ever” would likely occur by the end of this June. What are your thoughts on why that didn’t happen?

[Answer] It’s the same old story: We’ve been rebounding since COVID crashed us in March of last year. The stimulus was off the reservation! The central banks said, “We’ll triple down.” But that stresses the system: not letting the economy rebalance, not washing out zombie companies. Twenty percent of large public companies can’t meet their debt service.

So it was massive stimulus and the natural recovery — [Americans] had to hold back [spending] for months. So now we have this bounce.

We’ve been rebounding since COVID crashed us in March of last year. But I don’t think it’s going to last, and the markets don’t think it’s going to last. The bond markets are saying, “Yeah, now we’ve got 3% or 4% inflation, but it’s temporary.”

Governments will keep this bubble going no matter what. So the question is: When does it blow?”

Ah yes, the time-honored tradition of blaming the Fed for your ill-advised predictions. It’s almost like some pundits would like to invest as if central banks don’t exist, when in fact, they do.

3. Mark In The Metaverse – Casey Newton and Mark Zuckerberg

As always, there’s a lot to discuss with you — and the White House is demanding Facebook do more to remove vaccine misinformation, which I know is on a lot of people’s minds right now. I want to get to that, but I want to start with this talk you gave internally at Facebook a few weeks ago, which I recently had a chance to watch. You told your employees that your future vision of Facebook is not the two-dimensional version of it that we’re using today, but something called the metaverse. So what is a metaverse and what parts of it does Facebook plan to build?

This is a big topic. The metaverse is a vision that spans many companies — the whole industry. You can think about it as the successor to the mobile internet. And it’s certainly not something that any one company is going to build, but I think a big part of our next chapter is going to hopefully be contributing to building that, in partnership with a lot of other companies and creators and developers. But you can think about the metaverse as an embodied internet, where instead of just viewing content — you are in it. And you feel present with other people as if you were in other places, having different experiences that you couldn’t necessarily do on a 2D app or webpage, like dancing, for example, or different types of fitness.

I think a lot of people, when they think about the metaverse, they think about just virtual reality — which I think is going to be an important part of that. And that’s clearly a part that we’re very invested in, because it’s the technology that delivers the clearest form of presence. But the metaverse isn’t just virtual reality. It’s going to be accessible across all of our different computing platforms; VR and AR, but also PC, and also mobile devices and game consoles. Speaking of which, a lot of people also think about the metaverse as primarily something that’s about gaming. And I think entertainment is clearly going to be a big part of it, but I don’t think that this is just gaming. I think that this is a persistent, synchronous environment where we can be together, which I think is probably going to resemble some kind of a hybrid between the social platforms that we see today, but an environment where you’re embodied in it.

So that can be 3D — it doesn’t have to be. You might be able to jump into an experience, like a 3D concert or something, from your phone, so you can get elements that are 2D or elements that are 3D. I’d love to go through a bunch of the use cases in more detail, but overall, I think that this is going to be a really big part of the next chapter for the technology industry, and it’s something that we’re very excited about.

It just touches a lot of the biggest themes that we’re working on. Think about things like community and creators as one, or digital commerce as a second, or building out the next set of computing platforms, like virtual and augmented reality, to give people that sense of presence. I think all of these different initiatives that we have at Facebook today will basically ladder up together to contribute to helping to build this metaverse vision.

And my hope, if we do this well, I think over the next five years or so, in this next chapter of our company, I think we will effectively transition from people seeing us as primarily being a social media company to being a metaverse company. And obviously, all of the work that we’re doing across the apps that people use today contribute directly to this vision in terms of building community and creators. So there’s a lot to jump into here. I’m curious what direction you want to take this in. But this is something that I’m spending a lot of time on, thinking a lot about, we’re working on a ton. And I think it’s just a big part of the next chapter for the work that we’re going to do in the whole industry.

4. New cancer treatments may be on the horizon—thanks to mRNA vaccines – Stacey Colino

Molly Cassidy was studying for the Arizona bar exam in February 2019 when she felt an excruciating pain in her ear. The pain eventually radiated down through her jaw, leading her to discover a bump under her tongue. “I had several doctors tell me it was stress-related because I was studying for the bar and I had a 10-month-old son,” recalls Cassidy, who also has a Ph.D. in education. After continuing to seek medical care, she found out that she had an aggressive form of head and neck cancer that required intensive treatment.

After doctors removed part of her tongue along with 35 lymph nodes, Cassidy went through 35 sessions of radiation concurrent with three cycles of chemotherapy. Ten days after she completed treatment, Cassidy noticed a marble-like lump on her collarbone. The cancer had returned—and with a vengeance: It had spread throughout her neck and to her lungs. “By that point, I was really out of options because the other treatments hadn’t worked,” says Cassidy, now 38, who lives in Tucson. “In the summer of 2019, I was told my cancer was very severe and to get my affairs in order. I even planned my funeral.”

When doctors removed the tumor from her collarbone, they told her that she might be eligible to join a clinical trial at the University of Arizona Cancer Center that was testing an mRNA (messenger ribonucleic acid) vaccine—similar technology to the Pfizer and Moderna COVID-19 vaccines—in combination with an immunotherapy drug to treat colorectal and head and neck cancers. Whereas the COVID-19 vaccines are preventative, mRNA vaccines for cancer are therapeutic, and Cassidy jumped at the opportunity to participate. “I was at the right place at the right time for this clinical trial,” she says….

…Some mRNA vaccines for cancer take an off-the-shelf approach: These ready-made vaccines are designed to look for target proteins that appear on the surface of certain cancer tumors. How well they work is a matter of speculation right now, but some experts have concerns. “The question is: What is the target? You always have to have the right thing to target for the vaccine to be effective,” says David Braun, an oncologist at the Dana-Farber Cancer Institute and Harvard Medical School who specializes in immunotherapies. After all, with cancer, there isn’t a universal target the way there is with the coronavirus’s spike protein, and DNA mutations in cancer cells vary from one patient to another.

This is where personalized mRNA cancer vaccines enter the picture—and these may be more promising, experts say. With the personalized approach, a sample of tissue is taken from a patient’s tumor and their DNA is analyzed to identify mutations that distinguish the cancer cells from the normal, healthy cells, explains Bauman, who is also chief of hematology/oncology at the UA College of Medicine-Tucson. Computers compare the two DNA samples to identify the unique mutations in a tumor, then the results are used to design a molecule of mRNA that will go into the vaccine. This is typically done in four-to-eight-weeks—“it’s a technical tour de force to be able to do that,” says Robert A. Seder, chief of the Cellular Immunology Section of the Vaccine Research Center at the National Institute of Allergy and Infectious Diseases.

5. Twitter thread on how the use of Glassdoor could lead to better investing results Impact Growth 

Glassdoor a worthwhile tool for forecasting stock returns?

🧩 I recorded the following data for all Nasdaq constituents to find out 

– ✨ Current Rating

– 📊 # of Reviews

– 🗣️ Rec to a Friend? 

– 👔 Approve of CEO? 

– 📈 Rating 2yrs ago

1) Do overall ratings correlate with stock returns?

✅ Yes!

📈 There exists a clear relationship between how highly employees rate a company and how well the stock does

2) Do stock returns correlate with 2yr rating changes? 

✅ Yes, but only over the longer-run

Avg 1/3yr returns when ratings are up/down over the last 2yrs:

📈 +35% / +107%

📉 +34% / +77%

3) The better the CEO, the better the stock?

Yes!

A clear relationship between CEO rating and long-run stock performance

6. Infinity Revenue, Infinity Possibilities – Packy McCormick

From an internet cafe in Cabanatuan City, Philippines, a 22-year-old named Howard described the game he plays to make a living as innocent-looking but strategic. That game, Axie Infinity is a Pokémon-like game built on the Ethereum blockchain in which people buy digital pets, called Axies, as NFTs, and breed, battle, and trade them. It’s cute. It’s unassuming…

…Axie’s cuteness obfuscates an absurdly fast-growing business, one counterintuitively trying to vertically integrate in a web3 ecosystem known for composing modularly. Beyond the business, it has a wildly bold master plan to reshape economic policy and local governance by showing what’s possible when people work in the Metaverse. In its whitepaper, Axie developer Sky Mavis explicitly says, “You can think of Axie as a nation with a real economy.”

That’s the grand plan. Right now, most of the focus on Axie centers around its eye-popping growth… Axie Infinity is picking up players and revenue at a nearly-unprecedented clip…

…In April, Axie did about $670k in revenue.

In May, it did $3.0 million.

In June, $12.2 million.

In July, just 18 days into the month, it’s already at $79 million.

Delphi Digital projects that it will close this month at $153 million. 

The Axie protocol generates revenue by taking a 4.25% fee when players buy and sell Axie NFTs in its marketplace, and by charging fees for breeding Axies to create new ones in the form of its tokens, Axie Infinity Shards (AXS) and Smooth Love Potion (SLP). AXS and SLP are denominated in ETH, which has been cut by more than half since May; Axie has grown USD revenue even in the face of falling ETH prices.

7. Software Beyond the Stratosphere: Loft Orbital Launches World’s First Commercial Ride-Share Satellites – Ubiquity Ventures

On June 29, 2021, Loft Orbital activated the world’s first two commercial ride-share satellites in orbit around Earth. The missions were called YAM-2 and YAM-3, where YAM stands for “yet another mission”. Prior to Loft Orbital, it would take 5 to 10 years to design, build, and launch a satellite containing a single dedicated payload to Earth orbit where it can carry out its work such as transmitting signals like satellite TV or internet, snapping photos for Google Maps, etc.

Instead, Loft Orbital’s satellites bring several different customers’ payloads to orbit at the same time. These two particular Loft Orbital satellites are carrying 10 different customer payloads, spanning many different industries:

  • Established space: Eutelsat (Europe’s largest satcom provider)
  • Government: DARPA and the UAE space agency
  • Newspace: Totum and others

These customers are utilizing their sensor payloads for a variety of use cases including IoT connectivity, weather data, flying space autonomy software, precision positioning, and more. Future Loft Orbital missions have already signed up customers including Honeywell, NASA, and the US Space Force.

For each of these customers, Loft Orbital is the fastest and simplest path to space…

…Loft makes it simple and fast for more people to utilize space.

By doing so, Loft is unlocking a massive amount of demand from potential space users who may not have had the knowhow, resources (typically billions of dollars for a sovereign government) or time (typically 10+ years) to get to space. To accomplish this, Loft Orbital designed these satellites leveraging their plug-and-play payload adapter, attached various customer payloads, booked launches on rockets, coordinated regulatory certifications, tested the completed satellite (thermal, vibration, and more), and integrated these satellites onto a rocket. From here, Loft Orbital will manage these satellites in orbit using their Cockpit mission control software and downlink data from these customer payloads for the next few years. Loft Orbital customers get to focus on their payload and leave everything else to Loft.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentionedwe currently have a vested interest in Facebook. Holdings are subject to change at any time.

What We’re Reading (Week Ending 18 July 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 18 July 2021:

1. Think different: 10 unconventional lessons from owning Apple shares for 10 years – Chin Hui Leong

3. Unconventional wisdom

The world plunged into a financial crisis in 2008. When it comes to recessions, conventional wisdom suggests that you should rotate out of discretionary into non-discretionary stocks.

Yet, Apple’s strong business performance during this period puts a dent in this belief. Sales of its devices, which are often deemed to be discretionary in nature, propelled the firm’s revenue up by over 52 per cent between 2007 and 2009.

In contrast, non-discretionary stocks such as Proctor and Gamble (NYSE: PG) only managed a tepid 5.6 per cent revenue growth in that period.

Conventional wisdom does not always hold up. Look for real-life evidence.

4. Unimaginable growth

When I bought Apple shares in 2010, the company generated a little under US$43 billion in revenue for fiscal year 2009. By 2012, its topline had exceeded US$156 billion. In just three years, sales more than tripled, a phenomenal feat by any measure.

As investors, we should recognise that we can only project what we can imagine. When it comes to great companies such as Apple, you are better off leaving plenty of leeway to be surprised on the upside. From my experience, they often do.

5. Internet-scale businesses

In 2010, there were no trillion-dollar companies; today, there are five such companies. A big reason is smartphones, which have helped to increase the global population with Internet from 1.8 billion in 2010 to over five billion today.

Connectivity has made it possible to reach billions of customers today, a scale that did not exist a decade ago.

As investors, we should expect to see more trillion dollar, Internet-scale companies in the future.

6. A different future

If you plan to buy an innovative company, be ready for the business to look different a decade from today.

Case in point: At the end of fiscal year 2009, Apple was a product-focused company. Sales of iPhones, iPods and Macs made up well over 80 per cent of its revenue. Software and services accounted for less than 6 per cent.

By fiscal 2020, services had grown to almost a fifth of all its revenue and over a third of its gross profits. For a sense of scale, Apple’s services revenue alone is more than twice what Netflix (NASDAQ: NFLX) makes in a year.

7. Value you can’t see

Apple has introduced new products over the past decade. The Apple Watch was introduced in 2014, followed by the debut of Airpods two years later . In 2017, HomePod was launched.

Thing is, much of its roadmap was not visible in 2010.

Therefore, if you valued Apple’s business a decade ago, you would not have known the future value these products would create.

Again, innovative companies tend to surprise on the upside.

2. What Is CRISPR? – CB Insights

CRISPR is a defining feature of the bacterial genetic code and its immune system, functioning as a defense system that bacteria use to protect themselves against attacks from viruses. It’s also used by organisms in the Archaea kingdom (single-celled microorganisms).

The acronym “CRISPR” stands for Clustered Regularly Interspaced Short Palindromic Repeats. Essentially, it is a series of short repeating DNA sequences with “spacers” sitting in between them. 

Bacteria use these genetic sequences to “remember” each specific virus that attacks them.

They do this by incorporating the virus’ DNA into their own bacterial genome. This viral DNA ends up as the spacers in the CRISPR sequence. This method then gives the bacteria protection or immunity when a specific virus tries to attack again.

Accompanying CRISPR are genes that are always located nearby, called Cas (CRISPR-associated) genes.

Once activated, these genes make special proteins known as enzymes that seem to have co-evolved with CRISPR. The significance of these Cas enzymes is their ability to act as “molecular scissors” that can cut into DNA.

To recap: in nature, when a virus invades bacteria, its unique DNA is integrated into a CRISPR sequence in the bacterial genome. This means that the next time the virus attacks, the bacteria will remember it and send RNA and Cas to locate and destroy the virus.

While there are other Cas enzymes derived from bacteria that cut out viruses when they attack bacteria, Cas9 is the best enzyme at doing this in animals. The widely-known term CRISPR-Cas9 refers to a Cas variety being used to cut animal (and human) DNA.

In harnessing this technology, researchers have added a new step: after DNA is cut by CRISPR-Cas9, a new DNA sequence carrying a “fixed” version of a gene can nestle into the new space. Alternatively, the cut can altogether “knock out” of a particular unwanted gene — for example, a gene that causes diseases.

One way to think about CRISPR-Cas9 is to compare it to the Find & Replace function in Word: it finds the genetic data (or “word”) you want to correct and replaces it with new material. Or, as CRISPR pioneer Jennifer Doudna puts it in her book A Crack In Creation: Gene Editing and the Unthinkable Power to Control Evolution, CRISPR is like a Swiss army knife, with different functions depending on how we want to use it.

CRISPR research has moved so fast that it’s already gone beyond basic DNA editing. In December 2017, the Salk Institute designed a “handicapped” version of the CRISPR-Cas9 system, capable of turning a targeted gene on or off without editing the genome at all. Going forward, this kind of process could ease the concerns surrounding the permanent nature of gene editing.

3. Let the bullets fly for a while – Lillian Li

There’s a symbiotic relationship between old public institutions and rising new digital institutions in China. Didi cleaned up the grey market for black cabs, Meituan and Ele.ma act as de facto restaurant inspectors. Every content platform carries out content moderation on behalf of the party. The government is pragmatic. In the fragmented authoritarian governance structure of China, the agents that can introduce and maintain legibility stay. 

With these hybrid governance structures experiencing hypergrowth, it is not obvious what should be regulated and how. Despite the absence of a blueprint, there is a regulator cadence that I term “let the bullets fly for a while”…

…To fully grok China, one needs to watch the brilliantly dark film called Let the Bullets Fly. Since its release in 2010, the tale about a robber-turned-pretend governor in the feudalist Goosetown has become a Chinese cyberspace meme staple. Ladened with things said and unsaid about the rules and boundaries of power, money and lawfulness in China, it is a cultural touchstone.

In the midst of pivotal scenes —bewildering battles where nothing is clear — subordinates ask the robber-governor what to do. Inevitably, he responds with the infamous line “Let the bullets fly for a while.” Meaning, let the chaos run; who knows what issues resolve themselves without intervention, or when the tide will turn. Inaction is an asset during uncertainty. Calling things too soon shuts down possibilities.

My love of Chinese Internet memes aside, this turn of phrase has resonance amongst regulators and economists. It’s been a favourite catchphrase in conversations when they are asked to describe the Chinese regulatory approach. This is also borne out by macroeconomic theory3, when markets experience high future uncertainty (as is the case in new emerging markets) where regulators have inadequate regulatory tools, bias towards inaction is a dominant strategy.

Deng’s slogan of “crossing the river by feeling the stones” captures the subtle pragmatism needed to navigate brave new worlds. Partly due to imperfect information and partly due to the lack of consensus on the regulatory approaches to take, Chinese regulators have historically taken an-observe-then-act approach. 

4. Scale: Rational in the Fullness of Time – Packy McCormick

When Wang and co-founder Lucy Guo founded Scale out of Y Combinator in 2016, the company was called Scale API and its value prop was essentially that it was a more reliable Mechanical Turk with an API. They started with the least sexy-sounding piece of an incredibly sexy-sounding industry: human-powered data labeling.

Customers sent Scale data, and Scale worked with teams of contractors around the world to label it. Customers send Scale pictures, videos, and Lidar point clouds, and Scale’s software-human teams would send back files saying “that’s a tree, that’s a person, that’s a stop light, that’s a pothole.”

By using ML to identify the easy stuff first and routing more difficult requests to the right contractors, Scale could provide more accurate data more cheaply than competitors. Useful, certainly, but it’s hard to see how a business like that … scales. (I’m sorry, but I also can’t promise that will be the last scale pun).

Scale’s ambitions are obfuscated by its starting point: using humans to build a seemingly commodity product. A bet on Scale is a bet that data labeling is the right starting point to deliver the entire suite of AI infrastructure products.

If Wang is right, if data is the new code, the biggest bottleneck for AI/ML development, and the right insertion point into the ML lifecycle, then the brilliance of the strategy will unfold, slowly at first then quickly, over the coming years. It will all look rational in the fullness of time.

Scale has a high ceiling. It has the potential to be one of the largest technology companies of this generation, and to usher in an era of technology development so rapid that it’s hard to comprehend from our current vantage point. But it hasn’t been all clear skies to date, and the future won’t be easy either. It will face competition from the richest companies and smartest people in the world. It still has a lot to prove.

In either case, Scale is a company you need to know. It’s also an excellent excuse to dive into the AI and ML landscape and separate fact from science fiction. It’s looking increasingly likely that AI will find itself in the technology impact pantheon alongside the computer, the internet, and potentially web3.

5. Lessons in Low Ego Leadership with DocuSign CEO Dan Springer Mathilde Collin and Dan Springer

Mathilde Collin: Great. I’ve heard from many people that you’re a great leader and I think you’ve already spent twenty five years in leadership positions. And I’m curious if you have any philosophy on leadership that you’d like to share with our audience.

Dan Springer: Yeah, I mean there’s a slightly geeky term that I like to use to sort of simplify how I evaluate leaders in the company or when I’m interviewing people about potentially bringing in a company which is sort of combining three different factors that I think are really critical.

The first one is whether people have the right sort of skills and smarts to be effective in their job. The second one is, are they able to manage their ego and so that they’re able to be manager, you go well, folks on the teams results as opposed to their individual results and credit analysis is simply how hard they work and how much they apply themselves.

And the formula that I like to use with those three things is I take the S or the smarts and skills divide that by the ego. Did you want to do a better job minimizing that and then raise that quotient to the power of how hard you work and you can play around with numbers like one to five and do your own assessment. And so to see this sort of interesting things, you do play around with the math. But the key thing for me is to realize that to some extent you can get smarter and you can develop more skills. But we’re all sort of given some certain level of capabilities that we have and some better for some jobs. Once you have that, the parts you can really control with how you manage your ego and how you really apply yourself and how hard you work. And so I try to encourage people to say that’s where you should put your focus and developing yourself as an individual contributor, but particularly as a manager is are you going to be successful by those two variables you can control?

Mathilde Collin: And I’m curious, how do you teach people or help people work on their ego?

Dan Springer: So that’s the part that’s interesting because sometimes it’s easy for people, some people naturally have high cues. Their personality is to be supportive of other people. They get their joy out of watching people develop. So it’s easy for them to do it. And some people, it’s really, really difficult. And the thing I would tell you is that we’re all on a journey. And when I try to talk to people about ego management, if you will, I try to go back and say, hey, let me tell you, I think today I’ve gotten to a point on a one to five scale, which is I’ve gotten to about four. I think I do a pretty good job of putting the organization first. Customers first. The other employees first over myself.

But when I was twenty three, a young person I go, I probably was a one or two on ego. I you know, I was very focused on my own career. I was competitive, I was ambitious. And, you know, I was not great at that. I had some early management jobs where it wasn’t, I don’t think, very good as a manager and very sensitive. I was managing people much older than I was, and I just didn’t have an awareness of how to do that.

Well, so you sort of start off and say, I’ve been there is someone struggling, I’ve been where you are. It takes some work. But what it mostly takes is awareness and focus. And so that’s what I try to tell them stories about. Here’s places that I wasn’t aware of. So not just me, so I could be other stories of other people. And here’s what they did to be more successful, because that’s one. And the second big thing is giving people feedback. And I would say feedback is a gift and you need to be able to explain to people why you see them underperforming on the ego dimension and say, this is how I saw you interact with your teammates. And this is what other people say when they come out of interactions with you and why they maybe feel bruised or not supported whatever it might be, and giving people that direct, you know, and really critical feedback on how they’re showing up is, I think the only way you can really help if it’s not about book learning. I mean, you can read stories, but it really is about that intensely personal development.

6. Commentary: Chinese fashion giant Shein has taken over the world. It has just met its match – Patrick Reinmoeller, Mark Greeven, and Yunfei Feng

With fast fashion firms under pressure to stay ahead of fashion cycles and entertain customer desire for the newest styles, there’s a growing countertrend that questions its breakneck speed.

The global fashion industry generates about 4 to 10 per cent of total greenhouse gas emissions, more than all international flights and maritime shipping combined.

According to the World Bank, the fashion industry uses 93 billion cubic metres of water every year, an amount that 5 million people could use for consumption instead.

The industry also produces about 20 per cent of wastewater worldwide through dyeing and treating fabrics. It dumps microfibers that amount to about 50 billion plastic bottles into the ocean and disposes 87 per cent of total fibre input annually.

These negative effects of fashion are predicted to increase by 50 per cent by 2030, as more buy into the ethos of fast fashion: Buy fast, buy new, and dispose prematurely. According to the Ellen MacArthur Foundation, the average person today buys and discards about 60 per cent more clothing compared to 2000.

Fast fashion leaders have launched initiatives that boost their sustainability record, though they’ve been met with scepticism. Although H&M has started already in 2010 with its Conscious Collection emphasising organic and sustainable fabrics, the Norwegian Consumer Authority said information provided about the clothing, such as the amount of recycled material in each item, is insufficient.

A rejection of overconsumption in favour of essentials and basics, espoused by brands like Patagonia, fares better with those concerned about fashion’s environmental impact.

New models are emerging fast. Business models of vintage, recycled clothes are quickly losing their stigma in the West.

7. Too Smart – Morgan Housel

What’s boring is often important and the smartest people are the least interested in what’s boring.

Ninety percent of personal finance is just spend less than you make, diversify, and be patient.

But if you’re very intelligent that bores you to tears and feels like a waste of your potential. You want to spend your time on the 10% that’s mentally stimulating.

Which isn’t necessarily bad. But if your focus on the exciting part of finance comes at the expense of attention to the 90% of the field that’s boring, it’s disastrous. Hedge funds blow up and Wall Street executives go bankrupt doing things a less intelligent person would never consider. A similar thing happens in medicine, a field that attracts brilliant people who may be more interested in exciting disease treatments than boring disease prevention.

There’s a sweet spot where you grasp the important stuff but you’re not smart enough to be bored with it.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentionedwe currently have a vested interest in Apple, DocuSign, Meituan, and Netflix. Holdings are subject to change at any time.

What We’re Reading (Week Ending 11 July 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 11 July 2021:

1. The Beginning of Infinity – Naval Ravikant and Brett Hall

Brett Hall: Hello Naval, it’s great to be here. You’ve raised so many interesting aspects of The Beginning of Infinity, which has become a real passion of mine. Like a lot of people who enter science, when I was at school I thought, “Well, I want to be an astronomer, so I’ll go to a university and do a physics degree, then do an astronomy degree, and then become a professional astronomer.”

One day I picked up David Deutsch’s The Fabric of Reality in a bookstore and started reading it. The first chapter described what I was trying to achieve in my life. It was putting into words what I felt my university studies and my general outlook on life was about.

Deutsch says that the ancient philosophers thought they could get an understanding of the entire world. As time passed, though, modern science made it seem as though this was an impossible project. There’s no way you could understand everything about reality. There’s too much to know.

How could you possibly know everything?

At the beginning of The Fabric of Reality, David Deutsch presents this idea that you don’t need to know every single fact to fundamentally understand everything that can be understood.

He presents this vision that there are four fundamental theories from science and outside science: quantum theory, the theory of computation, evolution by natural selection, and epistemology—which is the theory of knowledge. Together they form the worldview, or lens, through which you can understand anything that can be understood…

Brett: Deutsch’s worldview is that reality is comprehensible. Problems are solvable, or “soluble,” as he writes. It’s a deeply rationally optimistic worldview that believes in good scientific explanations and progress.

Progress is inevitable as long as we have these good explanations. Good explanations have tremendous reach. They are acts of creativity.

Humans are problem solvers and can solve all problems. All sins and evil are due to a lack of knowledge. One can be optimistic about constant progress. That’s what the title refers to: We’re at the beginning of an infinite series of progress.

It’s a very optimistic take. It states that we are at home in the universe and the universe is ours as a resource to learn about and exploit; that material wealth is a set of physical transformations that we can affect; that everything that is not forbidden by the laws of physics is eventually possible through knowledge and knowledge creation.

He also writes about how humans are universal explainers, that anything that can be known and understood can be known and understood by human beings in the computation power of a human system.

Everything is knowable by humans. We’re at the beginning of an infinity of knowledge.

We understand things using good explanations and constantly replace old theories with better ones. There’s no endpoint in sight. There’s no perfection. Every theory can be falsified eventually and improved.

We are on our way to being able to do everything that is not forbidden by the laws of physics…

Naval: Does probability actually exist in the physical universe, or is it a function of our ignorance? If I’m rolling a die, I don’t know which way it’s going to land; so therefore I put in a probability. But does that mean there’s an actual probabilistic unknowable thing in the universe? Is the universe rolling a die somewhere, or is it always deterministic?

Brett: All probability is actually subjective. Uncertainty and randomness are subjective. You don’t know what the outcome’s going to be, so you roll a die. That’s because you individually do not know; it’s not because there is uncertainty there deeply in the universe. What we know about quantum theory is that all physically possible things occur.

This leads to the concept of the multiverse. Rather than refute all of the failed ways of trying to understand quantum theory, we’re going to take seriously what the equations of quantum theory say. What we’re compelled to think about quantum theory, given the experiments, is that every single possible thing that can happen does happen. This means that there is no inherent uncertainty in the universe because everything that can happen actually will happen. It’s not like some things will happen and some things won’t happen. Everything happens.

You occupy a single universe, and in that universe, when you roll the die, it comes up a two. Somewhere else in physical reality, it comes up a one, somewhere else a three, a four, a five, and a six.

Naval: If I’m rolling two dice, then the universes in which they sum up to two is less than the number of universes in which we roll a seven, because that can be a three and a four, a five and a two, and so on. So the number of universes still does correspond to what we calculate as the probability.

2. A Framework for The Metaverse – Matthew Ball

The Metaverse is often mis-described as virtual reality. This is like saying the mobile internet is the iPhone. The iPhone isn’t the mobile internet; it’s the consumer hardware and app platform most frequently used to access the mobile internet.

Sometimes the Metaverse is described as a virtual user-generated content (UGC) platform. This is like saying the internet is Yahoo!, Facebook, or World of Warcraft. Yahoo! is an internet portal/index, Facebook is a UGC-focused social network, World of Warcraft is an MMO. Other times we receive a more sophisticated explanation, such as ‘the Metaverse is a persistent virtual space enabling continuity of identity and assets’. This is much closer to the truth, but it too is insufficient. It’s a bit like saying the internet is Verizon, or Safari, or HTML. Those are a broadband provider that connects you to the entire web, a web browser that can access/render all of the internet’s webpages from a single screen and IP identifier, and a markup language that enables the creation and display of the web. And certainly, the Metaverse doesn’t mean a game or virtual space where you can hang out (similarly, the Metaverse isn’t now ‘here’ just because more of us now are hanging out virtually and/or more often).

Instead, we need to think of the Metaverse as a sort of successor state to the mobile internet. And while consumers will have core devices and platforms through which they interact with the Metaverse, the Metaverse depends on so much more. There’s a reason we don’t say Facebook or Google is an internet. They are destinations and ecosystems on or in the internet, each accessible via a browser or smartphone that can also access the vast rest of the internet. Similarly, Fortnite and Roblox feel like the Metaverse because they embody so many technologies and trends into a single experience that, like the iPhone, is tangible and feels different from everything that came before. But they do not constitute the Metaverse.

3. Twitter thread on how Facebook uses user-data – Jesse Pujji

Is Facebook listening to your conversations? No, they are not. They are doing something MUCH more effective! Here’s how it works

The two most valuable pieces of software on earth are: 1) the $FB pixel and 2) the $FB newsfeed. When you wonder, how come FB is worth $1T and Twitter is only $55BN, those two pieces of software are your answer.

The FB pixel is a tiny piece of code that nearly every website on the planet has embedded. It feeds data back to FB (in aggregate, anonymized) for the list of websites visited, how much time was spent, did you buy or not, etc.

The newsfeed algo looks at that as a signal as well as hundreds of other things (your age, who your friends are, what ads you screenshot) to determine which ad to place in front of you. Again, all of this is done in groupings. Not personal.

When they get it right: right message in front of right person at right time….everyone wins. A brand finds a new customer. You find a product you want. FB makes $.

And this is a good thing. You get value from this all the time. You’re shopping for a mattress. You go to Casper’s website. Then back to FB/IG. You start getting ads for other mattress companies and even a mattress comparison site. You find the right choice, you buy!

4. Money Rules – Morgan Housel

The formula for how to do well with money is simple. The behaviors you battle while implementing that formula are hard.

“Save more money and be more patient” is too simple for most people to take seriously, but it’s the best solution to most financial problems.

Expectations move slower than reality on the ground, so it’s easy to become frustrated when clinging to the economic trends of a previous era.

Everything is relative. John D. Rockefeller was asked how much money was enough and said, “Just a little bit more.” Everyone, at every income, tends to feel the same. 

5. Doing Nothing is Hard Work Ben Carlson 

If you watch all 10 penalty kicks you begin to notice a theme in the strategy by the goalies — they like to dive. In fact, each goalie dove on every penalty kick attempt. And as luck would have it, this strategy worked on the very last kick.

I’m not exactly a soccer expert, but there are a few obvious reasons the goalies dive like this.

The striker has the advantage since the goal is so large and they get to kick from a relatively short distance. And since they can kick the ball with such force the goalie has to make a split-second decision.

But it also looks really cool.

Saving a ball that’s kicked right at you is boring. A diving save, on the other hand, makes you look like a hero. And so it was in yesterday’s match.

It’s hard to argue with this strategy considering it won Switzerland the game.

There is an alternative to the horizontal diving save, though. The goalie could simply stay put in the middle.

Researchers in Israel studied nearly 300 penalty kicks from various leagues and championship matches over the years to gain a general sense of the strategy for both goalies and strikers.

They found the goalkeeper dove left or right nearly 94% of the time, meaning the other 6% of the time they basically just stayed in the middle hoping the kick would come right down the pipe…

…Strikers were five times more likely to kick it down the middle than goalies were to stay in the middle waiting for a direct kick.

We humans simply have a bias towards action over inaction.

Goalies admitted they felt worse about themselves if they stayed put in the middle and there was a goal kicked to the right or left. It’s easier to stomach a ball kicked right down the middle if they dove left or right because it showed their effort.

We want to have our hands on the steering wheel to give us a sense of control, even when that control is an illusion.

The illusion of control applies to investing as well.

Successful investing tends to be boring and long-term in nature but it’s hard to look cool with a boring, long-term strategy. Where’s the fun in that?

In many areas of life, the harder you work, the more you are rewarded for your efforts. This rule of thumb does not apply to the markets. Much of the time the more you press the worse your results when it comes to the markets.

A bias towards action at all times when investing opens you up to all sorts of mistakes, many of which are of the avoidable or unnecessary variety.

6. David Velez – Building The Branchless Bank – Patrick O’Shaughnessy and David Velez

Patrick: [00:04:26] What do you think are the most important differentiators between what we’ll call the incumbent banks that maybe Berkshire invested in more traditionally, versus Nubank? What are the largest important differences for those out there, listening to understand?

David: [00:04:40] I think the first one is, the consumer obsession and a culture that is based on consumer obsession. I don’t think this is necessarily specific to financial services. I think one common denominator of incumbent industries, either financial services, or if you look at insurance or even in media or transportation, is that after let’s say six, seven decades of traditional capitalism, you ended up with a number of players, oligopolies, where four or five companies effectively own the market. Whenever you see another golf police structure, you find that there are abnormal returns and you also find a lot of complacency among incumbents. That complacency, ultimately ends up translating into taking customers for granted when it should be the actually opposite. Ultimately, you win because customers choose you. What you find in Latin America and a lot of emerging markets and a little bit of the US, is that there are five banks that have won, let’s say banking 1.0, and they will become complacent and they forgot about customers.

There are a number of different things that we’re doing differently. But I would say the number one is having a culture that is obsessed about customers and doing the right thing for the customers, from doing the right decisions, to giving the right customer service, to building products that are really actually good for them. I would say that’s number one. Then there is all the tactical advantages that being a technology company at heart provides. Obviously from being a fully digital company and not needing to have a full offline distribution, very expensive backend branches, that allows us to have about 50X more customers per human, than traditional banks. Just being in total detail, we have one building here in Sao Paulo and have 40 million customers different 5,570 Brazilian cities in the Amazons, in the south, we have customers in Mexico city, obviously, and Columbia. That gives us a huge operational efficiency.

Ultimately, that translates into significant cost efficiency, that we can pass to the end consumer via lower fees. We don’t need to charge so many fees. We don’t charge any fees. Then there’s all the other advantages of being a tech company from a data first, analytics infrastructure, to be able to use a lot of data to make a lot of different decisions. All of these different advantages, add up to building a type of offering that is very hard for the traditional incumbents to match.

Patrick: [00:07:11] Maybe you could just level set for us, today in the markets where you operate, if I was about to become a new Nubank customer, what does that traditionally feel like? What is the model customer doing with you and how do they sort of get on board to begin?

David: [00:07:24] 90% of our customers come through word of mouth, completely referred by other friends. We’ve been really growing fully by word of mouth, no customer acquisition costs since 2014, when we launched. And our latest cohort last month, is exactly the same as our first cohort in 2013. It’s been viral, which is unexpected for a financial services product. You don’t see a credit card has no virality characteristics. There’s no real network effects when you think about it. It’s not Facebook. It’s not Instagram, where if all your friends are there, you want to be there. Here, you will have a loan product that doesn’t necessarily make it better for your friends. I’ll provide a little bit more nuance then later on because in effect that’s one of the things that we’ve done differently. But in general, most people will hear from us through a friend, will download the app or will be invited by a friend. The friend will send you an invitation via WhatsApp or email or Facebook or any type of channel. You accept the invitation. You download the app. And in a few seconds or a few minutes, you have a bank account open. You have a credit card, a virtual credit card working. We’ll send you a physical credit card to your house in one or two days it’s there.

Then you get access to a number of different products that we have. You can get an insurance product, you kind of start investing your money in a number of your funds, and also equities through Easynvest, a company we bought last year. If you have any questions, you can ask any questions via the chat that we have in our app. And all your interaction is fully digital through the app. The last thing I’ll add is, one of the big pains in this market is, over 40% of the population are blacklisted in the consumer bureaus. They are outside of the credit system. If you want to credit, you do not pay the average 500% APR. You pay 1000% APR. Because there are a couple of institutions that will lend you money at that rate. Most traditional institution will not lend you if you are black listed in one of the bureaus. Just because there was no FICO score. There was no positive credit information, only negative.

I’ll give you an example. In my case, I moved apartments and the cable company still send me a bill for $10 and I never got that bill. So I became a delinquent for them. They sent me to one of these credit bureaus. If I needed a loan from one of the big banks, I would have had been rejected. A lot of the opportunity here was for us to build new credit methodologies, build our own FICO, proprietary. Allow us to underwrite most of the population, both the banked and the better. One of the big variables in our model is, who invites you? Since 90% of our customers come through referrals, we use the credit information of their referral as an input into our credit model. It turns out, it is very predictive and it has allowed us to underwrite two people on lower costs that never had access to any type of credit product.

7. The Elon Musk Productivity Email – Elon Musk

– Excessive meetings are the blight of big companies and almost always get worse over time. Please get of all large meetings, unless you’re certain they are providing value to the whole audience, in which case keep them very short.

– Also get rid of frequent meetings, unless you are dealing with an extremely urgent matter. Meeting frequency should drop rapidly once the urgent matter is resolved.

– Walk out of a meeting or drop off a call as soon as it is obvious you aren’t adding value. It is not rude to leave, it is rude to make someone stay and waste their time.

– Don’t use acronyms or nonsense words for objects, software or processes at Tesla. In general, anything that requires an explanation inhibits communication. We don’t want people to have to memorize a glossary just to function at Tesla.

– Communication should travel via the shortest path necessary to get the job done, not through the “chain of command”. Any manager who attempts to enforce chain of command communication will soon find themselves working elsewhere.

– A major source of issues is poor communication between depts. The way to solve this is allow free flow of information between all levels. If, in order to get something done between depts, an individual contributor has to talk to their manager, who talks to a director, who talks to a VP, who talks to another VP, who talks to a director, who talks to a manager, who talks to someone doing the actual work, then super dumb things will happen. It must be ok for people to talk directly and just make the right thing happen.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentioned, we currently have a vested interest in Alphabet (parent of Google), Facebook, and Tesla. Holdings are subject to change at any time.

A New Perspective: “One Up On Wall Street” by Peter Lynch

A Gen Z’s view on Peter Lynch’s classic investing text.

Note: This article is a guest-post from Lee Leigh Ann. She is an intern at the investment fund that we (Ser Jing and Jeremy) are running. In this piece, Leigh Ann, who’s from Generation Z, shares her thoughts after completing one of our assignments, which is to read Peter Lynch’s classic investing text, One Up on Wall Street. Please enjoy!


Being someone who is completely new to investment, my first impression when I saw the book One up on Wall Street was that it is going to be one of those profound books that only professionals understand. After all, books with the author’s picture plastered on the cover page do not seem all that attractive… to me at least. I was proven wrong very soon though, when I found myself already halfway into the book.

The book itself, contrary to its appearance, was actually an easy read. It was not packed with bombastic words and flowery language. In fact, many ideas were illustrated simply using analogy that could be easily understood. One small problem for me though was that I could not relate to certain terms used or examples given as easily. This is due to certain company names quoted that were unfamiliar in the local context. But this was not a major issue for me. 

Throughout the book, I was introduced to many new and refreshing perspectives. In school, though I was taught about investments, it was mainly theory-based and on a superficial level. This book provided me with new insights that are gained through 17 years of real life investing experiences by the author. There were many mind-blowing moments in the book.

From the book, I got to learn the difference between a speculator and an investor. To me, I just thought that anybody who invested in stocks is simply called an investor. Now, I realise that this is not the case. The difference between an investor and speculator is their difference in attitudes towards a stock. Investors want to generate long-term gains by holding onto a stock for more than a year while speculators go for quick capital appreciation. Investors conduct more in-depth research towards a stock and believe that the stock will eventually generate profits while speculators do not spend much time on their research and just jump at any opportunity to make quick money.

There is a main idea that is constantly enforced throughout the book: You do not always have to listen to professional fund managers or buy the hottest stock in the market. If one is able to observe surrounding businesses, one may find a company with high growth potential. 

Of course, this does not mean that you start to invest in any growing business that you see in your neighbourhood. Successful investing requires one to conduct adequate research about the fundamentals of the business – such as understanding the management style, looking through past years’ balance sheets etc – before you decide to invest your money into the stock. It is advised by Lynch that an individual dedicate at least an hour a week to research about a certain stock that they are interested in.

Investing in a familiar industry is recommended too as compared to an unfamiliar one. Let’s say you work in the healthcare industry. It is advisable that you invest in the same industry as you would have a professional edge over somebody else who does not work in the healthcare industry. Meanwhile, there is also a consumer edge where users of the product have an edge over non-users. To have an edge means that one has the upperhand knowledge regarding an investment decision that the others do not. Having knowledge on an industry/company that you want to invest in allows you to make a more informed decision on whether a certain company’s stock is worth investing in.  

Here, I would like to share some of my mind-blown moments:

  1. “The average person is exposed to interesting local companies and products years before the professionals”
  2. “Big companies have small moves, small companies have big moves”
  3. “Look for companies with niches”
  4. “When in doubt, tune in later”
  5. “Invest at least as much time and effort in choosing a new stock as you would in choosing a new refrigerator”
  6. “If a stock goes to zero, you lose just as much money whether you bought it at $50, $25, $5 or $2”

I would like to think that this book not only provided me with invaluable insights regarding investing in stocks, it also changed my perspective towards such “professional-looking” (for lack of a better word) books. 

As the famous saying goes, “Do not judge a book by its cover.” 

Like literally. 


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life.

What We’re Reading (Week Ending 04 July 2021)

The best articles we’ve read in recent times on a wide range of topics, including investing, business, and the world in general.

We’ve constantly been sharing a list of our recent reads in our weekly emails for The Good Investors.

Do subscribe for our weekly updates through the orange box in the blog (it’s on the side if you’re using a computer, and all the way at the bottom if you’re using mobile) – it’s free!

But since our readership-audience for The Good Investors is wider than our subscriber base, we think sharing the reading list regularly on the blog itself can benefit even more people. The articles we share touch on a wide range of topics, including investing, business, and the world in general.

Here are the articles for the week ending 04 July 2021:

1. RNAi is Setting a High Bar for Gene Editing – Maxx Chatsko

Although there are many therapeutic modalities in the field of genetic medicines, individual investors have been most excited about gene editing tools such as CRISPR-Cas9. The valuations of publicly-traded CRISPR companies suggest investors have very high expectations — perhaps unreasonably high considering the general lack of meaningful data.

In the second quarter of 2021, three different drug candidates or drug products based on RNA interference (RNAi) have demonstrated the ability to reverse three different diseases — all with convenient dosing…

…Intellia Therapeutics (NASDAQ: NTLA) is initially focused on developing in vivo drug candidates for gene silencing applications. The approach uses CRISPR-Cas9 to “knock out” a gene by disrupting the sequence responsible for its expression. At a high level, the clinical objective of reducing protein levels is identical to that of RNAi.

Not surprisingly, there’s plenty of overlap between the company’s knockout pipeline and those of RNAi drug developers. Intellia Therapeutics’ lead in vivo drug candidate is taking aim at hATTR, while the next most-advanced program is targeting hereditary angioedema (HAE), another Alnylam target. Discovery-stage programs that might use knockouts include PH1, A1AT liver disease, and others that promise to square off with RNAi drug candidates and drug products.

On the one hand, gene knockouts promise to drive deeper reductions in protein levels than current-generation RNAi. They would also represent a permanent, irreversible change to a patient’s genome. Although CRISPR gene editing compounds must be administered intravenously, a single dose is the most convenient dosing.

On the other hand, there are clinical and commercial challenges for investors to consider. First-generation CRISPR gene editing requires making a double-stranded break in the genome, which is repaired with mutagenic (“mutation-causing”) processes. Double-stranded breaks can result in random insertions and deletions of genetic material far from the cut site, while there’s evidence that sections of chromosomes can be rearranged. Each is a hallmark of cancer cells. (It’s important to note that these are on-target effects inherent to CRISPR gene editing, separate from the more familiar off-target effects discussed in the media, which are largely exaggerated.)

The long-tail safety risks from on-target effects might not become evident until years after clinical development is completed. Therefore, drug candidates utilizing CRISPR-mediated knockouts might generate promising safety and efficacy data in clinical trials, but regulators might balk at speedy approvals for knockouts or require long-term patient monitoring. This is especially true considering many indications being targeted by knockouts will likely have safe, effective, and convenient treatments provided by RNAi. In other words, although these indications are called “rare diseases,” regulators probably won’t be under pressure to approve knockout drug candidates for the sake of patients.

Even if knockouts earn regulatory approval, it could be difficult to dislodge RNAi treatments. For example, by the time Intellia’s lead drug candidate reaches the market (assuming it does), most global hATTR patients will be taking treatments from Alnylam. An estimated 3% of global patients are taking the relatively inconvenient Onpattro, although many more could be eligible for treatment with vutrisiran should it earn regulatory approval in 2021 or 2022. That could result in Intellia boasting an approved knockout drug product and frustratingly little opportunity to capture market share. It’s more likely that the market experiences cutthroat pricing competition between RNAi treatments and gene knockouts, which would be great for patients, but perhaps not so great for the drug developers arriving a little too late to the market.

2. The Devastating Decline of a Brilliant Young Coder – Sandra Upson 

In Cloudflare’s early years, Lee Holloway had been the resident genius, the guy who could focus for hours, code pouring from his fingertips while death metal blasted in his headphones. He was the master architect whose vision had guided what began as a literal sketch on a napkin into a tech giant with some 1,200 employees and 83,000 paying customers. He laid the groundwork for a system that now handles more than 10 percent of all internet requests and blocks billions of cyberthreats per day. Much of the architecture he dreamed up is still in place.

But some years before the IPO, his behavior began to change. He lost interest in his projects and coworkers. He stopped paying attention in meetings. His colleagues noticed he was growing increasingly rigid and belligerent, resisting others’ ideas, and ignoring their feedback.

Lee’s rudeness perplexed his old friends. He had built his life around Cloudflare, once vowing to not cut his hair until the startup’s web traffic surpassed that of Yahoo. (It took a few short months, or about 4 inches of hair.) He had always been easygoing, happy to mentor his colleagues or hang out over lunch. At a birthday party for Zatlyn, he enchanted some children, regaling them with stories about the joys of coding. The idea of Lee picking fights simply didn’t compute.

He was becoming erratic in other ways too. Some of his colleagues were surprised when Lee separated from his first wife and soon after paired up with a coworker. They figured his enormous success and wealth must have gone to his head. “All of us were just thinking he made a bunch of money, married his new girl,” Prince says. “He kind of reassessed his life and had just become a jerk.”…

…WHAT MAKES YOU you? The question cuts to the core of who we are, the things that make us special in this universe. The converse of the question raises another kind of philosophical dilemma: If a person isn’t himself, who is he?

Countless philosophers have taken a swing at this elusive piñata. In the 17th century, John Locke pinned selfhood on memory, using recollections as the thread connecting a person’s past with their present. That holds some intuitive appeal: Memory, after all, is how most of us register our continued existence. But memory is unreliable. Writing in the 1970s, renowned philosopher Derek Parfit recast Locke’s idea to argue that personhood emerges from a more complex view of psychological connectedness across time. He suggested that a host of mental phenomena—memories, intentions, beliefs, and so on—forge chains that bind us to our past selves. A person today has many of the same psychological states as that person a day ago. Yesterday’s human enjoys similar overlap with an individual of two days prior. Each memory or belief is a chain that stretches back through time, holding a person together in the face of inevitable flux.

The gist, then, is that someone is “himself” because countless mental artifacts stay firm from one day to the next, anchoring that person’s character over time. It’s a less crisp definition than the old idea of a soul, offering no firm threshold where selfhood breaks down. It doesn’t pinpoint, for example, how many psychological chains you can lose before you stop being yourself. Neuroscience also offers only a partial answer to the question of what makes you you.

Neural networks encode our mental artifacts, which together form the foundation of behavior. A stimulus enters the brain, and electrochemical signals swoosh through your neurons, culminating in an action: Hug a friend. Sit and brood. Tilt your head up at the sun and smile. Losing some brain cells here or there is no big deal; the networks are resilient enough to keep a person’s behaviors and sense of self consistent.

But not always. Mess with the biological Jell-O in just the right ways and the structure of the self reveals its fragility.

Lee’s personality had been consistent for decades—until it wasn’t…

…In mid-March of 2017, Kristin and Lee went to a neurologist to get the results of an MRI. To Kristin, it seemed that the neurologist had initially been skeptical of her concerns. Lee was young, healthy, and communicative.

The MRI told a different story: There was atrophy in the brain inconsistent with the age of the patient, the neurologist reported to them. When Kristin asked her what that meant, she said Lee had a neurodegenerative disease of some kind, but they’d need to do more tests to get a specific diagnosis. One of their doctors suggested they go to the Memory and Aging Center at UC San Francisco…

…The neurologists delivered their verdict: He appeared to have a textbook case of frontotemporal dementia—known by the shorthand FTD—specifically, the behavioral variant of that disease. It targets a network of brain regions sometimes described as underpinning one’s sense of self. As the pathological process advanced, it was carving a different person out of Lee’s raw substance.

The term frontotemporal dementia refers to a cluster of neurodegenerative diseases that affect a person’s behavior or speech while leaving memory largely intact, at least early on. Unlike Alzheimer’s disease, FTD isn’t well known. It is a rare disease, affecting roughly one in 5,000 people, though many of the neurologists who study it believe it is underdiagnosed. What is known is that for people under the age of 60, it is the most common form of dementia. Still, as a man in his thirties, Lee was unusually young to be afflicted. For some patients, one of several genetic mutations turns out to be the likely cause, and a subset of patients have a family history of neurodegenerative diseases. But nothing in the neurologists’ investigations turned up even a hint as to why Lee had been struck down.

Regardless of cause, the prognosis is grim. There’s no treatment. Lee’s doctors warned that his symptoms would grow worse, and that over time he would likely stop talking, become immobile, and struggle to swallow, until eventually an infection or injury would likely turn fatal. The best the doctors could recommend was eating a balanced diet and getting exercise.

The family sat stunned at the neurologist’s words. The brain scans were undeniable. On a wall-mounted screen the doctors showed a cross-section of the four lobes of Lee’s brain. In a healthy brain, the familiar, loopy folds of tissue appear white or gray and push up against the edges of the cranium, filling every available space. Lee’s brain looked nothing like that.

Black voids pocked his frontal lobe, areas where brain tissue had gone dead. Seeing it, Kristin gasped. “There were huge dark spots in his brain,” Alaric says. “That’s what … that made it concrete.”

3. Interview: Marc Andreessen, VC and tech pioneer – Noah Smith and Marc Andreessen

N.S.: One of the themes of my blog so far has been techno-optimism. I have to say that some of that attitude comes from talking to you over the years! Are you still optimistic about the near future of tech? And if so, which tech should we be most excited about?

M.A.: I am very optimistic about the future of tech, at least in the domains where software-driven innovation is allowed. It’s been a decade since I wrote my essay Software Eats The World, and the case I made in that essay is even more true today. Software continues to eat the world, and will for decades to come, and that’s a wonderful thing. Let me explain why.

First, a common criticism of software is that it’s not something that takes physical form in the real world. For example, software is not a house, or a school, or a hospital. This is of course true on the surface, but it misses a key point.

Software is a lever on the real world.

Someone writes code, and all of a sudden riders and drivers coordinate a completely new kind of real-world transportation system, and we call it Lyft. Someone writes code, and all of a sudden homeowners and guests coordinate a completely new kind of real-world real estate system, and we call it AirBNB. Someone writes code, etc., and we have cars that drive themselves, and planes that fly themselves, and wristwatches that tell us if we’re healthy or ill.

Software is our modern alchemy. Isaac Newton spent much of his life trying and failing to transmute a base element — lead — into a valuable material — gold. Software is alchemy that turns bytes into actions by and on atoms. It’s the closest thing we have to magic.

So instead of feeling like we are failing if we’re not building in atoms, we should lean as hard into software as we possibly can. Everywhere software touches the real world, the real world gets better, and less expensive, and more efficient, and more adaptable, and better for people. And this is especially true for the real world domains that have been least touched by software until now — such as housing, education, and health care…

N.S.: Your most famous quote is probably “Software is eating the world”. How is that likely to manifest over the next decade or so? Will A.I. automate whole business models out of existence? Will old-line companies that try to patch software into their existing operations and business models get outcompeted by companies that start out as software companies and then branch into traditional markets, as my friend Roy Bahat believes? Or something else?

M.A.: My “software eats the world” thesis plays out in business in three stages:

1. A product is transformed from non-software to (entirely or mainly) software. Music compact discs become MP3’s and then streams. An alarm clock goes from a physical device on your bedside table to an app on your phone. A car goes from bent metal and glass, to software wrapped in bent metal and glass.

2. The producers of these products are transformed from manufacturing or media or financial services companies to (entirely or mainly) software companies. Their core capability becomes creating and running software. This is, of course, a very different discipline and culture from what they used to do.

3. As software redefines the product, and assuming a competitive market not protected by a monopoly position or regulatory capture, the nature of competition in the industry changes until the best software wins, which means the best software company wins. The best software company may be an incumbent or a startup, whoever makes the best software.

My partner Alex Rampell says that competition between an incumbent and a software-driven startup is “a race, where the startup is trying to get distribution before the incumbent gets innovation”. The incumbent starts with a giant advantage, which is the existing customer base, the existing brand. But the software startup also starts with a giant advantage, which is a culture built to create software from the start, with no need to adapt an older culture designed to bend metal, shuffle paper, or answer phones.

As time passes, I am increasingly skeptical that most incumbents can adapt. The culture shift is just too hard. Great software people tend to not want to work at an incumbent where the culture is not optimized to them, where they are not in charge. It is proving easier in many cases to just start a new company than try to retrofit an incumbent. I used to think time would ameliorate this, as the world adapts to software, but the pattern seems to be intensifying. A good test for how seriously an incumbent is taking software is the percent of the top 100 executives and managers with computer science degrees. For a typical tech startup, the answer might be 50-70%. For a typical incumbent, the answer may be more like 5-7%. This is a huge gap in software knowledge and skill, and you see it play out every day across many industries.

As for Artificial Intelligence, as an engineer myself, it’s hard to be quite as romantic as a lot of observers tend to be. AI — or, to use the more prosaic term, Machine Learning — is an incredibly powerful technology, and the last decade has seen explosive AI/ML innovation that’s increasingly showing up in the real world. But it’s still just software, math, numbers; the machines aren’t becoming self aware, Skynet is not here, computers still do exactly what we tell them. So AI/ML continues to be a tool used by people, more than a replacement for people.

A famous story from the birth of computer science has Alan Turing, father of the computer, lunching with Claude Shannon, father of information theory, in the AT&T executive dining room near Bell Labs in the early 1940s. Turing and Shannon engage in an increasingly heated discussion about the future of thinking machines when Turing stands up, pushes his chair back, and says loudly, “No, I’m not interested in developing a powerful brain! All I’m after is a mediocre brain, something like the President of AT&T.'”

I think about AI like that — although, for the record, the President of AT&T is a friend of mine, and he’s actually quite bright. I suspect “Artificial Intelligence” is the wrong framing for the technology; Doug Engelbart was probably more correct with what he called “Augmentation”, so think “Augmented Intelligence”. Augmented Intelligence makes machines better thought partners for people. This concept is clearer for considering both the technological and economic consequences. What we should see in a world of rapidly proliferating Augmented Intelligence is the opposite of a jobless dystopia — productivity growth, economic growth, new job growth, and wage growth.

And I think this is exactly what we are seeing. It’s worth remembering that before COVID, only 18 months ago, we were experiencing the best economy in 70 years — rising wages, low and falling unemployment, and essentially zero inflation. The economy was even improving more for lower skill and lower income people than it was for people like us, despite computers everywhere. Unemployment among the most disadvantaged in our society — people without even high school degrees — was as low as it’s ever been. This is far from an automation-driven dystopia; in fact, it’s the payoff from three centuries of increasing mechanization and computerization. As the economy recovers from COVID, I expect these positive trends to continue.

4. Individuals or Teams: Who’s the Better Customer for SaaS Products? – David Sacks

There are three main reasons for the superior economics of Team products:

1. Deal Sizes

Team products have larger initial contract values as a result of the ability to sell multiple seats. By contrast, the small deal sizes of Individual products may be insufficient to justify the cost of a sales team. Unless the Individual product is highly viral, it will be easier to build a distribution strategy for a Team product.

2. Retention

Team products are stickier than Individual products. To use a gaming analogy, multiplayer mode is more engaging than single-player mode. Users can do more interesting things when coworkers are part of the experience; value creation is higher.

Once a team is collaborating in a product, no single user can easily make the decision to leave. The decision to migrate to another tool requires coordination (aka a “rip and replace”). By contrast, a solo user can leave an individual product at any time.

Finally, collaboration provides constant opportunities for reactivation. A subscriber who stops using an Individual product is likely churned whereas an inactive user on a Team product is just one notification away from being reengaged. As long as the team maintains some minimum threshold of engaged users, it will avoid churn at the account level.

For all of these reasons, account-level churn rates for Individual plans are commonly around 5% per month, but only 1-2% per month for Team plans. This translates into much higher revenue retention for Team plans.

3. Seat Expansion 

Team plans have the ability to add new seats as the product spreads within a company, creating revenue expansion. As a result, successful Team products have “net negative churn,” meaning that expansion from retained accounts exceeds revenue lost from churned accounts. 

5. It’s Official: US Government Says Electric Vehicles Cost 40% Less To Maintain Steve Hanley

In its latest study, the Office of Energy Efficiency and Renewable Energy says,

“The estimated scheduled maintenance cost for a light-duty battery-electric vehicle (BEV) totals 6.1 cents per mile, while a conventional internal combustion engine vehicle (ICEV) totals 10.1 cents per mile. A BEV lacks an ICEV’s engine oil, timing belt, oxygen sensor, spark plugs and more, and the maintenance costs associated with them.”…

…Big deal, you say? Who cares about a difference of a measly 4 cents? Consider this. The light duty vehicles — sedans, SUVs, passenger vans and the like — owned and operated by the federal government traveled nearly 2 billion miles in 2019, according to the General Services Administration. That difference of 4 little cents translates into savings of about $78 million a year, according to Motor Trend.

The one thing that the EERE study doesn’t show is the reduction in fuel costs for those government owned vehicles, which allows us to do a little speculating. Let’s assume the average fuel economy for all of them is 20 miles per gallon. That means it would take about 100 million gallons of gasoline to drive 2 billion miles.  Now lets assume that gas costs an average of $3.00 a gallon (I am math challenged so I like to use round numbers). 100 million gallons at 3 bucks a gallon equals $300 million, does it not?

Now let’s assume further that the cost of electricity is roughly half the cost of gasoline. The end result is that a fleet of electric vehicles would save Uncle Sam about $150 million in fuel costs every year. Add in the $78 million in lower maintenance costs and the total annual savings from switching the entire US government fleet to electric vehicles could be $228 million every year from here to eternity or $2.28 billion over the next decade.

6. Casualties of Perfection – Morgan Housel

So many people strive for efficient lives, where no hour is wasted. But an overlooked skill that doesn’t get enough attention is the idea that wasting time can be a great thing.

Psychologist Amos Tversky once said “the secret to doing good research is always to be a little underemployed. You waste years by not being able to waste hours.”

A successful person purposely leaving gaps of free time on their schedule to do nothing in particular can feel inefficient. And it is, so not many people do it.

But Tversky’s point is that if your job is to be creative and think through a tough problem, then time spent wandering around a park or aimlessly lounging on a couch might be your most valuable hours. A little inefficiency is wonderful.

The New York Times once wrote of former Secretary of State George Shultz:

His hour of solitude was the only way he could find time to think about the strategic aspects of his job. Otherwise, he would be constantly pulled into moment-to-moment tactical issues, never able to focus on larger questions of the national interest.

Albert Einstein put it this way:

I take time to go for long walks on the beach so that I can listen to what is going on inside my head. If my work isn’t going well, I lie down in the middle of a workday and gaze at the ceiling while I listen and visualize what goes on in my imagination.

Mozart felt the same way:

When I am traveling in a carriage or walking after a good meal or during the night when I cannot sleep–it is on such occasions that my ideas flow best and most abundantly.

Someone once asked Charlie Munger what Warren Buffett’s secret was. “I would say half of all the time he spends is sitting on his ass and reading. He has a lot of time to think.”

This is the opposite of “hustle porn,” where people want to look busy at all times because they think it’s noble.

7. Tobi Lütke – Sriram Krishnan and Tobi Lütke

This is a very natural segue to my next question. One of the theories behind this whole set of interviews is diving into the atomic bits of how we spend our time in meetings. This time compounds over the long term and has a massive effect. What does a good meeting with Tobi look like? Alternatively, what does a bad meeting with you look like?

So actually, agendas are not terribly successful with me. I admire how other CEOs I’ve spoken with always have a strict agenda where everyone has a speaking slot. I find that absolutely fascinating. Even if I really set myself to an agenda and say, “Okay, great, this is going to happen,” I can’t get through half of a meeting like this. Partly because a good meeting is, for me personally, when I learn something.

I started a company because I love learning. I went into programming because I found it fascinating. During meetings, I just love to hear the things that teams have discovered. When you’re discussing an idea or a decision, I want to know what has been considered. To be honest, I find myself more interested in the inputs of an idea than the actual decision. I say this because when I have my own ideas, the first thing I tend to do is just try to falsify them, to figure out why what I’m thinking about is probably incorrect. This is actually something that I have to explain to people that I work with. If I like someone’s idea, I tend to do the same thing: I try to poke holes in it.

I usually say, “Well, the implication of this choice means you’ve made the following assumptions. What inputs did you use to make these foundational assumptions?” Effectively, I’m trying to figure out if an idea is built on solid fundamentals. I find that shaky fundamentals tend to be where things often go wrong. The decision being discussed could be the perfect decision according to the various assumptions that everyone came into the room with. But if those assumptions are faulty, the seemingly perfect decision is faulty too. Interestingly, assumptions are rarely mentioned in the briefing docs or in the slide deck. Usually, I’m trying to make sure those are rock solid. Through this process, I invariably end up learning something completely new about a field. That gives me great confidence and comfort both in the decision and the direction…

You try and design how your company spends time and attention. One particular incident came up recently which I found really fascinating. You wrote a script to delete every recurring meeting at Shopify. Talk about why you did that, and what you ended up learning from it.

[Laughs] So, going back a little bit further there—you know what, I should talk about books. One thing that is interesting is how people have accused Shopify of being a book club thinly veiled as a public company.

We tend to read a lot and talk about a lot of books. We read Nassim Taleb’s books and one person on my team began talking about Antifragile and gave an outline. He said, “I think Nassim is putting a word to the thing that you keep talking about…”

Now, I come from an engineering perspective. One of my biggest beefs with engineers, in general, is that they love determinism. I think there’s very little determinism in engineering left that’s of value. An individual computer is deterministic; once you introduce even just a network connection into the mix, everything becomes unpredictable and you have to write code that’s resilient to the unknown. Most interesting things come from non-deterministic behaviors. People have a love for the predictable, but there is value in being able to build systems that can absorb whatever is being thrown at them and still have good outcomes.

So, I love Antifragile, and I make everyone read it. It finally put a name to an important concept that we practiced. Before this, I would just log in and shut down various servers to teach the team what’s now called chaos engineering.

But we’ve done this for a long, long time. We’ve designed Shopify very well because resilience and uptime are so important for building trust. These lessons were there in the building of our architecture. And then I had to take over as CEO.

When that happened, I made two decisions: one, I’m going to try to learn as much about business as possible. But, if business is very different from software architecture, I’m going to be no good no matter what I do. And so, I ran an experiment to treat engineering principles, software architecture, complex system design, and company building as the same thing. Effectively, we looked for the business equivalent of just turning off servers to see if the system has resiliency. For instance, we used to ask people to use their mouse on their non-dominant hand for a day. We introduced these little nudges to ensure that people didn’t become complacent.

There are a bunch of really fun stories around this. I had a conversation with one of my co-founders, and we were discussing our unique problem: namely, Shopify was a company initially for American customers, built by German founders, in Canada.

[Both laugh]

It’s a very complex thing.

For instance, we talk a lot about how different cultures interact because we couldn’t have built Shopify without the Canadian optimism. These things were not necessarily things that we would recognize, at least when it comes to optimism, coming from Germany. That said, there are also challenges between cultures. For instance, Canadians are unbelievably nice. Like, no one wants to ever say anything to upset anyone. This is why we need to emphasize the importance of feedback. In this way, the uphill battle is more real for us than it would be for a Silicon Valley company.

There’s so much on the theme of how Shopify is not a Silicon Valley company. I think you pointed out one of these themes right here.

Exactly.

For instance, if we had built the company in Israel, this would not have been a challenge. It’s really important to understand that culture is real and multi-layered. The “host” city’s effect on the employees in that local office is very real. To do something world class, you have to show up with a lot of world class skills, and not a lot of downsides.

In this way, pushing people to give feedback is something very important for us.

That was a tangent, but to get back to the question you asked, we found that standing meetings were a real issue. They were extremely easy to create, and no one wanted to cancel them because someone was responsible for its creation. The person requesting to cancel would rather stick it out than have a very tough conversation saying, “Hey, this thing that you started is no longer valuable.” It’s just really difficult. So, we ran some analysis and we found out that half of all standing meetings were viewed as not valuable. It was an enormous amount of time being wasted. So we asked, “Why don’t we just delete all meetings?” And so we did. It was pretty rough, but we now operate on a schedule.


Disclaimer: The Good Investors is the personal investing blog of two simple guys who are passionate about educating Singaporeans about stock market investing. By using this Site, you specifically agree that none of the information provided constitutes financial, investment, or other professional advice. It is only intended to provide education. Speak with a professional before making important decisions about your money, your professional life, or even your personal life. Of all the companies mentioned, we currently have a vested interest in Shopify. Holdings are subject to change at any time.