Author: admin

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 April 2021:

1. Twitter thread on the importance of learning how to sell your product – Yuri Sagalov

It’s been almost 10 years since one of my most embarrassing fundraising moments as a founder. A moment so embarrassing that I couldn’t talk about it for years. It taught me the difference between raising a Seed round and a Series A, as well as some well needed humility.

In 2010, our seed raise was a breeze. We were young, arrogant, and deeply technical — a recipe for an oversubscribed round in 2010. We confidently handwaved away questions like “how will you get customers?” and spent most of our time building product.

In 2011 we started getting approached by Sand Hill funds to talk about a potential Series A, in the way that Sand Hill funds approach startups: They’re excited, they’re ready to fund, but actually they just want to learn more. Suddenly, we found ourselves fundraising again.

We were building an enterprise product but still didn’t really have any paying customers (we had some free users). This time around my handwaving didn’t work as well. Some investors politely nodded and then passed, but one AAA Sand Hill partner meeting went particularly poorly…

…We had users, and we even had some users who loved the product. But, ultimately, we were building a B2B/Enterprise product, and in 2010/2011 I knew nothing about sales and go to market. I made the naive mistake of believing that if we build it, they will come.

The partner and I sparred back and forth for a few minutes, until he suddenly interrupted me and said:  “Yuri, hope isn’t a strategy.” He then got up and left the room, leaving me to awkwardly finish the final 20 min of the meeting with his other partners…

…I spent a lot of time being offended and angry at how that partner behaved in that meeting. And while I continue to think he could have acted nicer — he was also right. We *didn’t* have a plan on how to get customers at that point, and we weren’t ready to raise our next round.

2. When Jeff Bezos’s 2-Pizza Teams Fell Short, He Turned to the Brilliant Model Amazon Uses Today – Jeff Haden

You’ve probably heard of Amazon’s two-pizza-team rule: No team should be larger than the number of people that can be adequately fed by two large pizzas.

What you likely don’t know is that despite the approach’s initial success, few people inside Amazon actually talk about two-pizza teams.

Instead, the model was gradually refined and ultimately replaced by a far more capable type of team model, one still in use today…

…Amazon found that the biggest predictor of a team’s success wasn’t whether it was small but whether it had a leader with “the appropriate skills, authority, and experience to staff and manage a team whose sole [my italics] focus was to get the job done.”

Or as Amazon’s SVP of devices, Dave Limp, said, “The best way to fail at inventing something is by making it somebody’s part-time job.”

That’s why, in time, two-pizza teams evolved into single-threaded leader (STL) teams, a term borrowed from computer science that means to only work on one thing at a time.

Single-threaded is term borrowed from computer science that means to only work on one thing at a time.

One example of how a single-threaded leader team succeeded where two-pizza teams failed? The idea that became Fulfillment by Amazon (FBA).

The idea behind FBA was simple: give third-party sellers access to Amazon’s warehouse and shipping services.

The benefits for third-party sellers were clear: Merchants would send products to Amazon for Amazon to store, pick, pack, and ship on their behalf, not only eliminating a third-party seller’s logistics headaches, but making warehousing costs variable rather than fixed.

Executives in retail and operations teams thought FBA was a great idea, but for well over a year nothing happened. They were all “exceptionally capable people, but they didn’t have the bandwidth to manage the myriad details FBA entailed,” the authors write.

Then Tom Taylor, a VP at the time, was asked to drop all his other responsibilities and was given full authority to hire and staff a team. Crucially, that team was also given sufficient autonomy to build and roll out their assigned task–without coordinating with or seeking approval from other teams.

In short, one highly skilled person was put in charge — and not only had the authority to see the project through, but was allowed to focus solely on seeing the project through.

3. The company that modern capitalism couldn’t survive long without – Samanth Subramanian

Which makes it all the more remarkable that a single Dutch company sits at the very heart of this $439 billion industry. At its headquarters in Veldhoven, in the Netherlands, ASML assembles photolithography machines, which etch circuit patterns onto chip wafers using low-wavelength light. Other companies make such machines too, but ASML controls more than 60% of the market; in 2019, its revenue was 11.8 billion euros ($13.2 billion). It is also the only manufacturer of the latest, most precise generation of chip-making machines, which uses extreme ultraviolet light (EUV), with a wavelength of 13.5 nanometers—a ten-thousandth the width of a human hair.

It’s difficult to think of another company anywhere that is simultaneously this important and yet this unknown to the public at large. If Veldhoven vanished tomorrow, our version of capitalism—our cellphone-toting, remote-working, Netflix-binging, online-buying, cloud-storing, smart car-driving, Internet-of-Things-ing capitalism—would judder to a halt. ASML isn’t a monopoly, but its market depends upon its technology to a degree that can almost be discomfiting…

…The world’s largest consumer of semiconductor chips is China; in 2020, the country imported 543 billion chips, worth around $350 billion. Its state-owned chipmaker, SMIC, was founded in 2000. “Back then, the manufacturing didn’t have to be as precise, so it didn’t matter if you didn’t have clean rooms or if a truck rolling down the road outside shook the building minutely,” Sinha said.

But over the past decade or so, the processes have become much more exacting. At the same time, Sinha said, the US government grew worried about what China might use cutting-edge chips for, and what surveillance technology it might install on any chips it sells to the world. “The concern was, if you allow China to go and make chips at scale using an EUV, those chips would be impossible to scrutinize with all their billions of transistors on them,” Sinha said. Under US pressure, chipmakers were restricted from selling their products to Huawei. Along similar lines, ASML’s EUV was placed on the Wassenaar list, a multilateral regime that controls the export of several critical technologies to non-member states such as China.

It doesn’t take any great insight into the human psyche to discover what Wennink, ASML’s CEO, thinks of not being able to sell to the world’s biggest market. He knows that behind the ban on selling EUVs to China is not just a worry about national security but also an act of economic one-upmanship—a desire to keep China dependent on non-Chinese vendors. Most military applications don’t even need cutting-edge chips from EUVs, he argued. They can work just fine with older chips. “And the argument we make to governments is that…our equipment is part of a production system for products that are so multifunctional and general purpose,” Wennink said. “They help process medical data. Or traffic data… You try to educate governments that a sanction will slow innovation, and costs will go up.”

4. Google Director Of Engineering: This is how fast the world will change in ten years – Michael Simmons

Ray Kurzweil, the director of engineering at Google and arguably the world #1 futurist, breaks down what the second half of the exponential curve better than anyone else in his book, The Singularity Is Near.

Kurzweil’s basic premise is this: “The future will be far more surprising than most people realize.”

The reason it’ll be more surprising, he argues, is, “because few observers have truly internalized the implications of the fact that the rate of change itself is accelerating.” In other words, “an exponential curve looks like a straight line when examined for only a brief duration. As a result, even sophisticated commentators, when considering the future, typically extrapolate the current pace of change over the next ten years or one hundred years to determine their expectations.”…

…“My models show that we are doubling the paradigm-shift rate every decade.” — Ray Kurzweil…

…To summarize the profundity of this 10-year doubling rate, Kurzweil says:

“We won’t experience one hundred years of technological advance in the twenty-first century; we will witness on the order of twenty thousand years of progress (again, when measured by today’s rate of progress), or about one thousand times greater than what was achieved in the twentieth century.”

Let that sink in for a second…

…“In order to keep up with the world of 2050, you will need not merely to invent new ideas and products but above all to reinvent yourself again and again.” — Yuval Noah Harari

To recap, we are on the precipice of an era of extreme competition — which means that the amount and pace of competition will accelerate 4x in the next 20 years. If you don’t prepare now, you will be progressively outcompeted and overwhelmed. So the question becomes, how do you want to run the race?

A few options emerge:

1. Follow the pace of the crowd: In other words, do what most people are doing (i.e. get a 9–5 job and do what’s expected of you). This is the least stressful option in the short-term, but you risk falling behind in the long-term.
2. Work harder than others: This helps you progress in your career faster, but you sacrifice time with family & friends along with personal health… not to mention that you risk losing out to people who are learning more than you.
3. Outlearn others and let your knowledge compound: Learning is the ultimate productivity hack. In other words, it provides the greatest leverage. It’s the tool that the greatest innovators and business thinkers of our time (Elon Musk, Jeff Bezos, Bill Gates, Warren Buffett, and others) use to get ahead.

5. Bill Hwang Had $20 Billion, Then Lost It All in Two Days –  Erik Schatzker, Sridhar Natarajan, and Katherine Burton

Before he lost it all—all $20 billion—Bill Hwang was the greatest trader you’d never heard of.

Starting in 2013, he parlayed more than $200 million left over from his shuttered hedge fund into a mind-boggling fortune by betting on stocks. Had he folded his hand in early March and cashed in, Hwang, 57, would have stood out among the world’s billionaires. There are richer men and women, of course, but their money is mostly tied up in businesses, real estate, complex investments, sports teams, and artwork. Hwang’s $20 billion net worth was almost as liquid as a government stimulus check. And then, in two short days, it was gone.

The sudden implosion of Hwang’s Archegos Capital Management in late March is one of the most spectacular failures in modern financial history: No individual has lost so much money so quickly. At its peak, Hwang’s wealth briefly eclipsed $30 billion. It’s also a peculiar one…

…He became the biggest of whales—financial slang for someone with a dominant presence in the market—without ever breaking the surface. By design or by accident, Archegos never showed up in the regulatory filings that disclose major shareholders of public stocks. Hwang used swaps, a type of derivative that gives an investor exposure to the gains or losses in an underlying asset without owning it directly. This concealed both his identity and the size of his positions. Even the firms that financed his investments couldn’t see the big picture.

That’s why on Friday, March 26, when investors around the world learned that a company called Archegos had defaulted on loans used to build a staggering $100 billion portfolio, the first question was, “Who on earth is Bill Hwang?” Because he was using borrowed money and levering up his bets fivefold, Hwang’s collapse left a trail of destruction. Banks dumped his holdings, savaging stock prices. Credit Suisse Group AG, one of Hwang’s lenders, lost $4.7 billion; several top executives, including the head of investment banking, have been forced out. Nomura Holdings Inc. faces a loss of about $2 billion…

…On March 25, when Hwang’s financiers were finally able to compare notes, it became clear that his trading strategy was strikingly simple. Archegos appears to have plowed most of the money it borrowed into a handful of stocks—ViacomCBS, GSX Techedu, and Shopify among them. This was no arbitrage on collateralized bundles of obscure financial contracts. Hwang invested the Tiger way, using deep fundamental analysis to find promising stocks, and he built a highly concentrated portfolio. The denizens of Reddit’s WallStreetBets day trading on Robinhood can do almost the same thing, riding such popular themes as cord cutting, virtual education, and online shopping. Only no brokerage will extend them anywhere near the amount of leverage billionaires get…

…U.S. rules prevent individual investors from buying securities with more than 50% of the money borrowed on margin. No such limits apply to hedge funds and family offices. People familiar with Archegos say the firm steadily ramped up its leverage. Initially that meant about “2x,” or $1 million borrowed for every $1 million of capital. By late March the leverage was 5x or more.

Hwang also kept his banks in the dark by trading via swap agreements. In a typical swap, a bank gives its client exposure to an underlying asset, such as a stock. While the client gains—or loses—from any changes in price, the bank shows up in filings as the registered holder of the shares.

That’s how Hwang was able to amass huge positions so quietly. And because lenders had details only of their own dealings with him, they, too, couldn’t know he was piling on leverage in the same stocks via swaps with other banks. ViacomCBS Inc. is one example. By late March, Archegos had exposure to tens of millions of shares of the media conglomerate through Morgan Stanley, Goldman Sachs Group Inc., Credit Suisse, and Wells Fargo & Co. The largest holder of record, indexing giant Vanguard Group Inc., had 59 million shares…

…The fourth quarter of 2020 was a fruitful one for Hwang. While the S&P 500 rose almost 12%, seven of the 10 stocks Archegos was known to hold gained more than 30%, with Baidu, Vipshop, and Farfetch jumping at least 70%.

All that activity made Archegos one of Wall Street’s most coveted clients. People familiar with the situation say it was paying prime brokers tens of millions of dollars a year in fees, possibly more than $100 million in total. As his swap accounts churned out cash, Hwang kept accumulating extra capital to invest—and to lever up. Goldman finally relented and signed on Archegos as a client in late 2020. Weeks later it all would end in a flash.

The first in a cascade of events during the week of March 22 came shortly after the 4 p.m. close of trading that Monday in New York. ViacomCBS, struggling to keep up with Apple TV, Disney+, Home Box Office, and Netflix, announced a $3 billion sale of stock and convertible debt. The company’s shares, propelled by Hwang’s buying, had tripled in four months. Raising money to invest in streaming made sense. Or so it seemed in the ViacomCBS C-suite.

Instead, the stock tanked 9% on Tuesday and 23% on Wednesday. Hwang’s bets suddenly went haywire, jeopardizing his swap agreements. A few bankers pleaded with him to sell shares; he would take losses and survive, they reasoned, avoiding a default. Hwang refused, according to people with knowledge of those discussions, the long-ago lesson from Robertson evidently forgotten.

That Thursday his prime brokers held a series of emergency meetings. Hwang, say people with swaps experience, likely had borrowed roughly $85 million for every $20 million, investing $100 and setting aside $5 to post margin as needed. But the massive portfolio had cratered so quickly that its losses blew through that small buffer as well as his capital.

The dilemma for Hwang’s lenders was obvious. If the stocks in his swap accounts rebounded, everyone would be fine. But if even one bank flinched and started selling, they’d all be exposed to plummeting prices. Credit Suisse wanted to wait.

Late that afternoon, without a word to its fellow lenders, Morgan Stanley made a preemptive move. The firm quietly unloaded $5 billion of its Archegos holdings at a discount, mainly to a group of hedge funds. On Friday morning, well before the 9:30 a.m. New York open, Goldman started liquidating $6.6 billion in blocks of Baidu, Tencent Music Entertainment Group, and Vipshop. It soon followed with $3.9 billion of ViacomCBS, Discovery, Farfetch, Iqiyi, and GSX Techedu.

When the smoke finally cleared, Goldman, Deutsche Bank AG, Morgan Stanley, and Wells Fargo had escaped the Archegos fire sale unscathed. There’s no question they moved faster to sell. It’s also possible they had extended less leverage or demanded more margin. As of now, Credit Suisse and Nomura appear to have sustained the greatest damage. Mitsubishi UFJ Financial Group Inc., another prime broker, has disclosed $300 million in likely losses.

6. Here’s how Lazada lost its lead to Shopee in Southeast Asia (Part 1 of 2) – Late Post

Southeast Asia’s homegrown e-commerce platform, Shopee, is a pioneer in more ways than one. Formed in 2015, it is an offshoot of gaming company Garena, helmed by founders who studied abroad and worked overseas for multinational companies. Its fourth quarter and full year 2020 financial reports indicate that Shopee’s turnover for the year was USD 35.4 billion, double that of 2019 and accounting for 57% of the entire Southeast Asian e-commerce market’s transaction volume.

Yet Shopee’s position is far from secure, as a seasoned online retailer from China wants a piece of the market too. Alibaba (NYSE: BABA; HKG: 9988), China’s largest e-commerce company, has been sparing no effort to extend its reach in the region. Southeast Asia was the largest and first overseas market where Alibaba landed. Alibaba CEO Daniel Zhang Yong and co-founder Peng Lei flew into the region for meetings on a monthly basis. In 2016, when Shopee was still a fledgling firm, Alibaba acquired Lazada, which was at the time the largest e-commerce company in the region.

Now, Shopee seems to have captured the lion’s share of the market. Its parent company, Sea Limited (NYSE: SE), is the largest tech company in the region, with a market value of nearly USD 130 billion…

…A good number of former Alibaba employees believed that selecting a suitable region for expansion was a simple matter. “Amazon’s home turf is in the Americas and Europe, and there is almost no chance of succeeding there. Russia and the Middle East are close to China, but their slower speed of economic development is not ideal. India is a potential area for investment, but it is impossible to do it without the assistance of local partners. Africa and Southeast Asia are the only two regions left. Compared to Southeast Asia, Africa’s distance from China and limited human resources pool is a problem,” they said to LatePost…

…Alibaba entered the regional market through Lazada, which was established in Singapore in 2012. Lazada contains the DNA of German incubator Rocket Internet, which itself is notorious for being a “copycat factory” that duplicates business models lifted from Silicon Valley and transplants them in new locations abroad.

By 2015, Lazada’s GMV had exceeded USD 1.3 billion, surpassing Indonesian counterpart Tokopedia to become the region’s leading e-commerce platform. Not long after, in April 2016, Alibaba bought a 51% stake in Lazada, then followed up with an investment of USD 1 billion in June 2017 to raise its stake to 83%…

…Following the acquisition, Alibaba promised Lazada that it would be able to maintain independent operations, but disagreements and conflict quickly broke out.

“For example, in 2017, Cainiao [Alibaba’s delivery provider] wanted to build a 10,000 sqm warehouse, but Lazada wanted to try one that was 5,000 sqm first,” said a Lazada insider. “That year, Alibaba also wanted to bring some major international brands to Lazada, but Lazada’s employees felt that these brands were too expensive and would not be received well by locals.”

In order to ensure that its directives would be implemented, Alibaba decided to transform Lazada’s internal structure, announcing in March 2018 that Peng Lei, Ant Financial’s former CEO, would take over as CEO of Lazada, as part of the terms of a USD 2 billion investment.

After this mammoth financing, Lazada did not immediately move to counteract its competitors, but instead began the process of cleaning up its internal organization. A Lazada advertising supplier told LatePost that because Lazada was almost a wholly owned subsidiary, account management across multiple countries was now more complicated, and until this could be sorted out, budgeting and spending nearly ground to a halt…

…At the end of 2017, Shopee’s parent company, Garena, changed its name to Sea Limited and listed on the New York Stock Exchange at a value of USD 6.3 billion.

“After it went public, many Shopee people sold their stock,” said an investor of Shopee. “They didn’t believe that it was possible for it to grow bigger.”

In 2018, however, Shopee seized the opportunity to launch an offensive in light of Lazada’s stagnation in Southeast Asia, led by CEO Chris Feng. Today, Shopee’s market capitalization has exceeded USD 120 billion. It is said by Shopee’s employees that 80% of Sea Limited’s stock price is supported by Shopee’s growth potential, while 80% of Shopee is supported by Feng.

Chris Feng is a native of Huai’an, Jiangsu, and received a scholarship from the Singaporean government in 2000 when he was a sophomore in high school. Later, he attended the National University of Singapore to study computer science, and pursued further studies at Stanford University. He joined McKinsey and then moved to Rocket Internet, where he became responsible for Lazada’s cross-border business.

Insiders close to Feng say he led a team’s defection from Lazada to join Garena in 2014 due to dissatisfaction with the situation at Lazada. He founded the mobile games division of Garena and started Shopee a year later. According to people familiar with the matter, he is well respected by his subordinates and characterized as a “very, very smart and very, very confident” person who “reacts quickly and has excellent abilities of recall.” Reportedly, he holds large-scale meetings involving dozens of individuals every two weeks, and can casually invoke data and information mentioned during previous meetings with ease.

On weekdays, Feng is known to wear Shopee’s team shirts, only donning formal suits on formal occasions. He still lives in affordable public housing (HDB) flats set up by the Singaporean government. A longtime friend of his has commented that Feng does not value money, but is “really a person who wants to do big things.”

Feng’s experience and contacts in Lazada are said to have been crucial to Shopee’s growth. For example, he was keenly aware of Lazada’s chaotic situation in 2018 and seized the chance to launch an offensive.

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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), Amazon, Apple, ASML, Netflix, Sea, and Shopify. Holdings are subject to change at any time.

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 4 April 2021:

1. How mRNA Technology Could Change the World – Derek Thompson

But mRNA’s story likely will not end with COVID-19: Its potential stretches far beyond this pandemic. This year, a team at Yale patented a similar RNA-based technology to vaccinate against malaria, perhaps the world’s most devastating disease. Because mRNA is so easy to edit, Pfizer says that it is planning to use it against seasonal flu, which mutates constantly and kills hundreds of thousands of people around the world every year. The company that partnered with Pfizer last year, BioNTech, is developing individualized therapies that would create on-demand proteins associated with specific tumors to teach the body to fight off advanced cancer. In mouse trials, synthetic-mRNA therapies have been shown to slow and reverse the effects of multiple sclerosis. “I’m fully convinced now even more than before that mRNA can be broadly transformational,” Özlem Türeci, BioNTech’s chief medical officer, told me. “In principle, everything you can do with protein can be substituted by mRNA.”

In principle is the billion-dollar asterisk. mRNA’s promise ranges from the expensive-yet-experimental to the glorious-yet-speculative. But the past year was a reminder that scientific progress may happen suddenly, after long periods of gestation. “This has been a coming-out party for mRNA, for sure,” says John Mascola, the director of the Vaccine Research Center at the National Institute of Allergy and Infectious Diseases. “In the world of science, RNA technology could be the biggest story of the year. We didn’t know if it worked. And now we do.”…

…“There was a lot of skepticism in the industry when we started, because this was a new technology with no approved products,” Türeci told me. “Drug development is highly regulated, so people don’t like to deviate from paths with which they have experience.” BioNTech and Moderna pressed on for years without approved products, thanks to the support of philanthropists, investors, and other companies. Moderna partnered with the NIH and received tens of millions of dollars from DARPA, the Defense Advanced Research Projects Agency, to develop vaccines against viruses, including Zika. In 2018, Pfizer signed a deal with BioNTech to develop mRNA vaccines for the flu.

“The technology initially appealed to us for the flu because of its great speed and flexibility,” Philip Dormitzer, who leads Pfizer’s viral-vaccines research and development programs, told me. “You can edit mRNA very quickly. That is quite useful for a virus like the flu, which requires two updated vaccines each year, for the Northern and Southern Hemisphere.”

By the time the coronavirus outbreak shut down the city of Wuhan, China, Moderna and BioNTech had spent years fine-tuning their technology. When the outbreak spread throughout the world, Pfizer and BioNTech were prepared to shift immediately and redirect their flu research toward SARS-CoV-2. “It was really a case of our researchers swapping the flu protein for the coronavirus spike protein,” Dormitzer said. “It turned out that it wasn’t that big a leap.”

Armed with years of mRNA clinical work that built on decades of basic research, scientists solved the mystery of SARS-CoV-2 with astonishing speed. On January 11, 2020, Chinese researchers published the genetic sequence of the virus. Moderna’s mRNA vaccine recipe was finalized in about 48 hours. By late February, batches of the vaccine had been shipped to Bethesda, Maryland, for clinical trials. Its development was accelerated by the Trump administration’s Operation Warp Speed, which invested billions of dollars in several vaccine candidates, including Moderna’s. With the perfect timing of a Hollywood epic, mRNA entered the promised land after about 40 wandering years of research. Scientific progress had proceeded at its typical two-speed pace—slowly, slowly, then all at once.

2. More accuracy – Robert Vinall

As I look back on the letter, it struck me that the importance I place on striving for an accurate picture of the future might seem so obvious as to be hardly worth mentioning. After all, if a company’s intrinsic value is the sum of discounted future cash flow, why on earth would you not want to form as accurate a view of the future as possible? I can imagine my insistence on this point is particularly puzzling to younger investors whose formative years have been dominated by the boom in Internet stocks. “Doh!” they might exhort, “Of course you have to skate to where the puck is going, not where it was.” 

The reason it is not obvious to older generations of value investors is that in our formative years, investing based on the assumption that historical patterns of cashflow generation would reassert themselves – better known as “reversion to the mean” – seemed the better strategy. Many of the great investing track records were built by investing in stable, unchanging businesses when they went through a period of underperformance on the assumption that they would eventually recover. It was an approach to investing that was based on a good understanding of a company’s history and the assumption that the future would not look too different to the past. It worked far better than betting on companies with short histories and big plans for the future, and it seemed obvious that it would continue to.

These two contrasting approaches to investing – one placing more weight on the future; the other on the past – are a reminder that the optimal strategy is a function of the era you invest in. If you are in a market characterised by rapid and widespread change, it pays to be forward-looking despite the inherent difficulty of judging the future. If, on the other hand, you are in a market where the pace of change is slower and more localised, then it may simply be better to bet on reversion to the mean as the future is too uncertain and genuine change too infrequent.

The contrasting outcomes of different brands of value investing in different eras pose an intriguing question. If each era selects for the type of investor who is best adapted to it, does the younger investor have an edge over the older one? My strong sense is “yes”. I am fortunate to know several successful younger investors, and they seem perfectly adapted to the market they invest in. I, by contrast, have had to adapt, which in practice does not so much mean learning new tricks as unlearning old ones. The former is certainly easier than the latter as learning is fun, but parting ways with cherished ideas is painful. Reluctant though I am to acknowledge it, as grey hairs begin to colonise my scalp, experience is a disadvantage.

In one important respect though, there is an advantage to experience. When the nature of the market does change, it should, at least in theory, be easier for the investor that has lived through different types of market to adapt than for the investor who has only experienced one type. The younger investor suddenly finds themselves in the position of the older investor without the benefit of having experienced a change in the market before.

In practice, however, few investors have sustained multidecade success. This may not solely be down to how difficult it is. It could also be that the rewards to the stellar performer are so great in one era that they lose interest in competing in the next one when they realise that their skills are no longer as finely attuned to the market. For sure though, it is a monumental challenge.

To increase the chances of adapting to different markets, I see one big thing an investor should do and one big thing they should not. The single biggest thing they should do is commit to adapt. The single biggest thing an investor should not do is tie themselves to a particular investment style or geography or industry or any other categorisation.  These two points may sound obvious but generally, fund managers do the complete opposite. Investors in funds tend to look for a specific niche expertise in fund managers, and fund managers respond to this by developing a personal brand for a particular style of investing or segment of the market. Their brand promise is that they will not adapt.

3. Moore’s Law for Everything – Sam Altman

In the next five years, computer programs that can think will read legal documents and give medical advice. In the next decade, they will do assembly-line work and maybe even become companions. And in the decades after that, they will do almost everything, including making new scientific discoveries that will expand our concept of “everything.”

This technological revolution is unstoppable. And a recursive loop of innovation, as these smart machines themselves help us make smarter machines, will accelerate the revolution’s pace. Three crucial consequences follow:

1. This revolution will create phenomenal wealth. The price of many kinds of labor (which drives the costs of goods and services) will fall toward zero once sufficiently powerful AI “joins the workforce.”
2. The world will change so rapidly and drastically that an equally drastic change in policy will be needed to distribute this wealth and enable more people to pursue the life they want.
3. If we get both of these right, we can improve the standard of living for people more than we ever have before.

Because we are at the beginning of this tectonic shift, we have a rare opportunity to pivot toward the future. That pivot can’t simply address current social and political problems; it must be designed for the radically different society of the near future. Policy plans that don’t account for this imminent transformation will fail for the same reason that the organizing principles of pre-agrarian or feudal societies would fail today…

…AI will lower the cost of goods and services, because labor is the driving cost at many levels of the supply chain. If robots can build a house on land you already own from natural resources mined and refined onsite, using solar power, the cost of building that house is close to the cost to rent the robots. And if those robots are made by other robots, the cost to rent them will be much less than it was when humans made them.

Similarly, we can imagine AI doctors that can diagnose health problems better than any human, and AI teachers that can diagnose and explain exactly what a student doesn’t understand…

…The traditional way to address inequality has been by progressively taxing income. For a variety of reasons, that hasn’t worked very well. It will work much, much worse in the future. While people will still have jobs, many of those jobs won’t be ones that create a lot of economic value in the way we think of value today. As AI produces most of the world’s basic goods and services, people will be freed up to spend more time with people they care about, care for people, appreciate art and nature, or work toward social good.

We should therefore focus on taxing capital rather than labor, and we should use these taxes as an opportunity to directly distribute ownership and wealth to citizens. In other words, the best way to improve capitalism is to enable everyone to benefit from it directly as an equity owner

This is not a new idea, but it will be newly feasible as AI grows more powerful, because there will be dramatically more wealth to go around. The two dominant sources of wealth will be 1) companies, particularly ones that make use of AI, and 2) land, which has a fixed supply…

…We could do something called the American Equity Fund. The American Equity Fund would be capitalized by taxing companies above a certain valuation 2.5% of their market value each year, payable in shares transferred to the fund, and by taxing 2.5% of the value of all privately-held land, payable in dollars.

All citizens over 18 would get an annual distribution, in dollars and company shares, into their accounts. People would be entrusted to use the money however they needed or wanted—for better education, healthcare, housing, starting a company, whatever. Rising costs in government-funded industries would face real pressure as more people chose their own services in a competitive marketplace.

As long as the country keeps doing better, every citizen would get more money from the Fund every year (on average; there will still be economic cycles). Every citizen would therefore increasingly partake of the freedoms, powers, autonomies, and opportunities that come with economic self-determination. Poverty would be greatly reduced and many more people would have a shot at the life they want.

4. The Robots Are Coming For Your Office – Nilay Patel and Kevin Roose

[Patel] You just said, “We’re journalists, it’s an industry that employs automation to do parts of our job.” I think that gets kinda right to the heart of the matter, which is the definition of automation, right?

I think when most people think of automation, they think of robots building cars and replacing factory workers in Detroit. You are talking about something much broader than that.

[Roose] Yeah. I mean, that’s sort of the classic model of automation. And still, every time there’s a story about automation — and I hate this, and it’s like my personal vendetta against newspaper and magazine editors — every time you see a story about automation, there’s always a picture of a physical robot. And I get it. Most robots that we think of from sci-fi are physical robots. But most robots that exist in the world today, by a vast majority, are software.

And so, what you’re seeing today in corporate environments, in journalism, in lots of places, is that automation is showing up as software, that does parts of the job that, frankly, I used to do. My first job in journalism was writing corporate earnings stories. And that’s a job that has been largely automated by these software products now…

…[Patel] How big is the total RPA market right now?

[Roose] It’s in the billions of dollars. I don’t know the exact figure, but the biggest companies in this are called UiPath and Automation Anywhere and there are other companies in this space, like Blue Prism. But just UiPath alone is valued at something like $35 billion and is expected to IPO later this year. So, these are large companies that are doing many billions of dollars in revenue a year, and they’re working with most of the Fortune 500 at this point.

[Patel] And the actual product they sell, is it basically software that uses other software?

[Roose] A lot of it is that. A lot of it is, this bot will convert between these two file formats or it’ll do sort of basic-level optical character recognition so that you can scan expense reports and import that data into Excel, or something like that. So, a lot of it is pretty simple. You know, a lot of AI researchers don’t even consider RPA AI, because so much of it is just like static, rule-based algorithms. But a lot of them are starting to layer on more AI and predictive capability and things like that…

…[Patel] That feels like I could map it to a pretty familiar consumer story. You’ve got a factory, it’s got some output. It’s almost like a video game, right? You’ve got a factory, it’s got some output, you need to make X, Y, and Z parts in various quantities and you need to deliver on a certain time. And to some extent, your job is to play tower defense and just fill all the bins at the right time. Or you could just play against the computer and the computer will beat you every time. That’s what that seems like. It seems very obvious that you should just let the computer do it.

[Roose] Totally. And that’s the logic that a lot of executives have. And I don’t even know that that’s the wrong logic. Like I don’t think we should be preserving jobs that can be automated just to preserve jobs. The concern, I think I, and some other folks who watch this industry have, is that this type of automation is purely substitutive.

So in the past we’ve had automation that carried positive consequences and negative consequences. So the factory machines put some people out of their jobs, but they created many more jobs and they lowered the cost of the factories’ goods and they made it more accessible to people and so people bought more of them. And it had this kind of offsetting effect where you had some workers losing their jobs, but more jobs being created elsewhere in the economy that those people could then go do.

And the concern that the economists that I’ve talked to had, was that this kind of RPA, like replacing people in the back office, like it’s not actually that good.

It’s not the good kind of automation that actually does move the economy forward. It’s kind of this crappy, patchwork automation that purely takes out people and doesn’t give them anything else to do. And so I think on a macroeconomic level, the problem with this kind of automation is not actually how advanced it is, it’s how simple it is. And if we are worried about the sort of future of the economy and jobs, we should actually want more sophisticated AI, more sophisticated automation that could actually create sort of dynamic, new jobs for these people who are displaced, to go into…

…[Patel] So you’ve called them boring bots. You say the technology is not so sophisticated. The industry calls it RPA. Like, there’s a lot of pressure on making this seem not the most technologically sophisticated or exciting thing. It comes with a lot of change, but I’m wondering, are there any stories of RPA going horribly wrong?

[Roose] I’m just imagining like, I think the most consumer-facing automation is, you call the customer support line and you go through the phone tree. It makes all the sense in the world on paper: if all I need is the balance of my credit card, I should just press 5 and a robot will read it to me, but like I just want to talk to a person every time. Because that phone tree never has the options I want or it’s always confused or something is wrong. There has to be a similar story in the back office where the accounting software went completely sideways and no one caught it, right?

Yeah, I mean, there’s several stories like that in the book. There’s a trading firm called Knight Capital that had an algorithm go haywire and it lost millions of dollars in milliseconds. There was actually just a story in the financial markets — I forget who it was, it was one of the big banks — accidentally wired hundreds of millions of dollars to someone else and couldn’t get it back. And so it was just like, they just lost that. I’m sure that automation had some role in that, but that might have been a human error.

But there are also lower-level instances of this going haywire. One of the examples I talk about in the book is this guy Mike Fowler, who is an Australian entrepreneur who came up with a way to automate T-shirt design. So, I don’t know if you remember like five or six years ago, but there were all these auto-generated T-shirts on Facebook that were advertised. So, you know, it’d be like, “Kiss me, I’m a tech blogger who loves punk rock.” You know, and those would just be like Mad Libs, you know?…

…And so he made a lot of money doing this, and then one day it went totally wrong because he hadn’t cleaned up the word bank that this algorithm drew from. So there were people noticing shirts for sale on Amazon that were saying things like “Keep calm and hit her,” or, “Keep calm and rape a lot.” Like just words that he had forgotten to clean out of the database, and so as a result, his store got taken down. He lost all his business. He had to change jobs, like it was a traumatic event for him. And that’s a colorful example but there are, I’m sure, lots of more mundane examples of this happening at places that have implemented RPA.

5. The Big Lessons of the Last Year – Morgan Housel

Jason Zweig explained years ago that part of the reason the same mistakes repeat isn’t because people don’t learn their lesson; it’s because people “are too good at learning lessons, and they learn overprecise lessons.”

A good lesson from the dot-com bust was the perils of overconfidence. But the lesson most people took away was “the stock market becomes overvalued when it trades at a P/E ratio over 30.” It was hyperspecific, so many of the same investors who lost their shirts in 2002 got up and walked straight into the housing bubble, where they lost again.

The most important lessons from a big event are usually the broad, 30,000-foot takeaways. They’re more likely to apply to the next iteration of crisis.

Covid-19 is far from over, but we’re now more than a year into this tragic mess. Enough has happened that we can start to ask “what lessons have we learned?” If you’re a doctor or a health regulator, some of those lessons are hyperspecific. But for most of us the biggest lessons are broad…

…A virus shutting down the global economy and killing millions of people seemed remote enough for most people to never contemplate. Before a year ago it sounded like the one-in-billions freak accident only seen in movies.

But break the last year into smaller pieces.

A virus transferred from animal to human (has happened forever) and those humans interacted with other people (of course). It was a mystery for a while (understandable) and bad news was likely suppressed (political incentives, don’t yell fire in a theater). Other countries thought it would be contained (exceptionalism, standard denial) and didn’t act fast enough (bureaucracy, lack of leadership). We weren’t prepared (common over-optimism) and the reaction to masks and lockdowns became heated (of course) so as to become sporadic (diversity, same as ever). Feelings turned tribal (standard during an election year) and a rush to move on led to premature reopenings (standard denial, the inevitability of different people experiencing different realities).

Each of those events on their own seems obvious, even common. But when you multiply them together you get something surprising, even unprecedented.

Big risks are always like that, which makes them too easy to underestimate. How starkly we have been reminded over the last year.

6. What Is Archegos and How Did It Rattle the Stock Market –  Juliet Chung and Margot Patrick

Archegos is the family investment vehicle owned by Mr. Hwang, a former protégé of hedge-fund titan Julian Robertson. Mr. Hwang was a so-called Tiger cub, an offshoot of Mr. Robertson’s Tiger Management. Mr. Hwang founded Tiger Asia in 2001. Based in New York, it went on to become one of the biggest Asia-focused hedge funds, running more than $5 billion at its peak. In 2008, it was one of a swath of funds that suffered losses related to the soaring share price of Volkswagen AG of Germany

In 2012, Tiger Asia said it planned to hand money back to investors. Later that year, the firm pleaded guilty to a criminal fraud charge for using inside information from investment banks to profit on securities trades. Mr. Hwang and Tiger Asia paid $44 million to settle a related civil lawsuit, The Wall Street Journal reported at the time.

Mr. Hwang turned Tiger Asia into his family office and renamed it Archegos, according to its website…

…Archegos took big, concentrated positions in companies and held some positions via something called “total return swaps.” Those are contracts brokered by Wall Street banks that allow a user to take on the profits and losses of a portfolio of stocks or other assets in exchange for a fee.

Swaps allow investors to take huge positions while posting limited funds up front, in essence borrowing from the bank. The use of swaps allowed Mr. Hwang to maintain his anonymity, even as Archegos was estimated to have had exposure to the economics of more than 10% of multiple companies’ shares. Investors holding more than 10% of a company’s securities are deemed to be company insiders and are subject to additional regulations around disclosures and profits.

Swaps are common and have been around for a long time. They are also controversial. Long Term Capital Management, a hedge fund advised by two Nobel laureates that nearly brought down Wall Street in the late 1990s, used swaps. Warren Buffett wrote about the risks of swaps in his 2003 letter to investors.

7. Twitter thread on how a software entrepreneur burned US$10 million – Andrew Wilkinson

This is a story about how I lost $10,000,000 by doing something stupid. Ten. Million. Dollars. Literally up in smoke. Money bonfire. That’s enough to retire with $250,000+ in annual income. Here’s what happened…

In 2009, @metalab was a small but profitable agency. The business was making a couple hundred thousand dollars a year in annual profit and I was trying to figure out how to invest the profits. Agencies can be great businesses, but they are HARD.

You lose clients at random, your pipeline dries up on a dime. It’s feast or famine and unpredictable. I kept reading about what  @dhh and @jasonfried were doing with Basecamp, building software for themselves then selling monthly access to it.

This was a relatively new concept back in those days, and it seemed like they were living the dream. I had a business crush. The model they used for Basecamp was:

1. Build great software that scratched their own itch (project management)
2. Assume others have this problem
3. Charge a monthly recurring amount to give them access (SaaS)
4. Focus on organic growth via product improvement and public writing
5. Spend less than they make
6. Profit…

…I loved Jason and David’s focus on building a business on your own terms, in a way that made you happy. I hated the idea of having some annoying VC involved, pressuring me to grow or move to San Francisco (believe it or not, that was almost 100% required at the time)…

…I was a huge to-do list junkie, but back then all of the task apps were either single-player or weird desktop apps with syncing issues. I decided to build a shared to-do list app for teams.

I grabbed a couple of devs from the agency and we started working on it. About 9 months later we were in beta. We called it Flow, and it was actually really cool. From day one, it was a huge hit. A lot of people had the same problem and there was nothing else like it…

…When we turned on billing for our beta users, we jumped to $20k MRR in the first month. We started growing at 10% per month and were the new hotness. I got reach outs from all the top VCs and tons of tech luminaries started using the product. We’d made it…or so I thought.

There was just one problem: I was consistently spending 2-3x our monthly revenue and losing money. And not venture capital. Out of my personal bank account.

Then I heard a name start popping up. Quietly at first, then a lot. Asana.

It turned out that Dustin Moskovitz (@moskov), the billionaire co-founder of Facebook, was a fellow to-do list junkie, and he was quietly working on his own product. A few months later it went live. And I breathed a big sigh of relief.

It was ugly! It was designed by engineers. Complicated and hard to use. Not a threat in the slightest. I felt validated: With a team a quarter of the size, and a fraction of the money, we had built what I felt was a superior product.

Around this time, Dustin invited me for a coffee in San Francisco. He implied—in the nicest possible terms—that they were going to crush us. (Emphasis on nice, he is a very nice, humble dude. Both Dustin and @christianreber, my two key competitors, turned out to be mensches)

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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 Amazon and Facebook. Holdings are subject to change at any time.

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 28 March 2021:

1. Elevate Our Minds – Kazuo Inamori

I can’t observe nature, the formation of matter in the universe, the birth of life or the process of evolution and not see a destiny that is more than coincidental.

The world seems to have a “flow” that evolves and develops everything. I call this “the will of the universe.” This will is filled with love, sincerity and harmony. Our personal destiny depends on whether or not the energy emitted by our mind is in harmony with the universal will.

Fortune smiles upon us when we make a wish with a pure mind that is in harmony with this universal will.

Our attitude and heart play a decisive role in achieving wonderful results in our life and work.

A loving, sincere and harmonious heart leads to success. Such a heart is a natural part of our spiritual selves. “Love” rejoices in other people’s happiness as if it were our own. “Sincerity” is a mindset that seeks good for the sake of society and others. “Harmony” compels us to always wish for happiness, not just for ourselves, but for everyone around us.

A loving, affectionate, sincere and harmonious heart is the foundation that leads a person to success.

Wonderful success can come only from the designs of a pure mind. No matter how strong our desires may be, if they are generated from our selfishness, success cannot be sustained.

The stronger an irrational desire is, the more it will conflict with society and the more catastrophic its results will be.

To sustain success, our desire and enthusiasm must be pure. In other words, you must make sure that your desire is pure before you make it permeate your subconscious mind. And, only continuous efforts stemming from pure hearts will enable us to realize our goals.

2. Unlocking the Covid Code – Jon Gertner

In the sphere of public health, one of the first big breakthroughs enabled by faster genomic sequencing came in 2014, when a team at the Broad Institute of M.I.T. and Harvard began sequencing samples of the Ebola virus from infected victims during an outbreak in Africa. The work showed that, by contrasting genetic codes, hidden pathways of transmission could be identified and interrupted, with the potential for slowing (or even stopping) the spread of infection. It was one of the first real-world uses of what has come to be called genetic surveillance. A few years later, doctors toting portable genomic sequencers began tracking the Zika virus around Central and South America. Sequencers were getting better, faster and easier to use.

To many, the most familiar faces of this technology are clinical testing companies, which use sequencing machines to read portions of our genetic code (known as “panels” or “exomes”) to investigate a few crucial genes, like those linked to a higher risk of breast cancer. But more profound promises of genome sequencing have been accumulating stealthily in recent years, in fields from personal health to cultural anthropology to environmental monitoring. Crispr, a technology reliant on sequencing, gives scientists the potential to repair disease-causing mutations in our genomes. “Liquid biopsies,” in which a small amount of blood is analyzed for DNA markers, offer the prospect of cancer diagnoses long before symptoms appear. The Harvard geneticist George Church told me that one day sensors might “sip the air” so that a genomic app on our phones can tell us if there’s a pathogen lurking in a room. Sequencing might even make it possible to store any kind of data we might want in DNA — such an archival system would, in theory, be so efficient and dense as to be able to hold the entire contents of the internet in a pillowcase…

…As machines improved, the impact was felt mainly in university labs, which had relied on a process called Sanger sequencing, developed in the mid-1970s by the Nobel laureate Frederick Sanger. This laborious technique, which involved running DNA samples through baths of electrically charged gels, was what the scientists at Oxford had depended upon in the mid-1990s; it was also what Dave O’Connor, a virologist at the University of Wisconsin, Madison, was using in the early 2000s, as he and his lab partner, Tom Friedrich, tracked virus mutations. “The H.I.V. genome has about 10,000 letters,” O’Connor told me, which makes it simpler than the human genome (at three billion letters) or the SARS-CoV-2 genome (at about 30,000). “In an H.I.V. genome, when we first started doing it, we would be able to look at a couple hundred letters at a time.” But O’Connor says his work changed with the advent of new sequencing machines. By around 2010, he and Friedrich could decode 500,000 letters in a day. A few years later, it was five million.

By 2015, the pace of improvement was breathtaking. “When I was a postdoctoral fellow, I actually worked in Fred Sanger’s lab,” Tom Maniatis, the head of the New York Genome Center, told me. “I had to sequence a piece of DNA that was about 35 base pairs, and it took me a year to do that. And now, you can do a genome, with three billion base pairs, overnight.” Also astounding was the decrease in cost. Illumina achieved the $1,000 genome in 2014. Last summer, the company announced that its NovaSeq 6000 could sequence a whole human genome for $600; at the time, deSouza, Illumina’s chief executive, told me that his company’s path to a $100 genome would not entail a breakthrough, just incremental technical improvements. “At this point, there’s no miracle that’s required,” he said. Several of Illumina’s competitors — including BGI, a Chinese genomics company — have indicated that they will also soon achieve a $100 genome. Those in the industry whom I spoke with predicted that it may be only a year or two away.

These numbers don’t fully explain what faster speeds and affordability might portend. But in health care, the prospect of a cheap whole-genome test, perhaps from birth, suggests a significant step closer to the realization of personalized medicines and lifestyle plans, tailored to our genetic strengths and vulnerabilities. “When that happens, that’s probably going to be the most powerful and valuable clinical test you could have, because it’s a lifetime record,” Maniatis told me. Your complete genome doesn’t change over the course of your life, so it needs to be sequenced only once. And Maniatis imagines that as new information is accumulated through clinical studies, your physician, armed with new research results, could revisit your genome and discover, say, when you’re 35 that you have a mutation that’s going be a problem when you’re 50. “Really, that is not science fiction,” he says. “That is, I’m personally certain, going to happen.”

3. Outgrowing Software – Ben Evans

Walmart was built on trucking and freeways (and computers), but Walmart is a retailer, not a trucking company: it used trucks to change retail. Now people do the same with software.

But it’s also interesting to look at the specific industries that have already been destabilised by software, and at what happened next. The first one, pretty obviously, was recorded music. Tech had a huge effect on the music business, but no-one in tech today spends much time thinking about it. 15 and 20 years ago music was a way to sell devices and to keep people in an ecosystem, but streaming subscription services mean music no longer has much strategic leverage – you don’t lose a music library if you switch from iPhone to Android, or even from Spotify to Apple Music. Meanwhile, the absolute size of the market is tiny relative to what tech has become – total recorded music industry revenues were less than $20bn last year (half the peak in 2000), where Apple’s were $215bn. No-one cares about music anymore.

Something similar happened in books. Amazon has half the market, ebooks became a real business (though they remain a niche), and self-publishing has become a new vertical, but I suspect Apple wouldn’t bother to do ebooks again if it had the choice. Just as for music, there’s no strategic leverage, and total US book market revenues last year were perhaps $25bn, where Amazon’s US revenue was $260bn. No-one in tech cares about online book sales or ebooks.

More fundamentally, though, for both music and books, most of the arguments and questions are music industry questions and book industry questions, not tech or software questions. Spotify is suing Apple over the App Store commission rules, but otherwise, all the Spotify questions are music questions. Why don’t artists make more from streaming? Ask the labels. Why didn’t the internet kill labels or publishers? Ask music people and book people.

4. Inside Facebook Reality Labs: Wrist-based interaction for the next computing platform – Facebook

The future of HCI [human-computer interaction] demands an exceptionally easy-to-use, reliable, and private interface that lets us remain completely present in the real world at all times. That interface will require many innovations in order to become the primary way we interact with the digital world. Two of the most critical elements are contextually-aware AI that understands your commands and actions as well as the context and environment around you, and technology to let you communicate with the system effortlessly — an approach we call ultra-low-friction input. The AI will make deep inferences about what information you might need or things you might want to do in various contexts, based on an understanding of you and your surroundings, and will present you with a tailored set of choices. The input will make selecting a choice effortless — using it will be as easy  as clicking a virtual, always-available button through a slight movement of your finger.

But this system is many years off. So today, we’re taking a closer look at a version that may be possible much sooner: wrist-based input combined with usable but limited contextualized AI, which dynamically adapts to you and your environment.

We started imagining the ideal input device for AR glasses six years ago when FRL Research (then Oculus Research) was founded. Our north star was to develop ubiquitous input technology — something that anybody could use in all kinds of situations encountered throughout the course of the day. First and foremost, the system needed to be built responsibly with privacy, security, and safety in mind from the ground up, giving people meaningful ways to personalize and control their AR experience. The interface would also need to be intuitive, always available, unobtrusive, and easy to use. Ideally, it would also support rich, high-bandwidth control that works well for everything from manipulating a virtual object to editing an electronic document. On top of all of this, it would need a form factor comfortable enough to wear all day and energy-efficient enough to keep going just as long.

That’s a long list of requirements. As we examined the possibilities, two things became clear: The first was that nothing that existed at the time came close to meeting all those criteria. The other was that any solution that eventually emerged would have to be worn on the wrist.

Why the wrist? There are many other input sources available, all of them useful. Voice is intuitive, but not private enough for the public sphere or reliable enough due to background noise. A separate device you could store in your pocket like a phone or a game controller adds a layer of friction between you and your environment. As we explored the possibilities, placing an input device at the wrist became the clear answer: The wrist is a traditional place to wear a watch, meaning it could reasonably fit into everyday life and social contexts. It’s a comfortable location for all-day wear. It’s located right next to the primary instruments you use to interact with the world — your hands. This proximity would allow us to bring the rich control capabilities of your hands into AR, enabling intuitive, powerful, and satisfying interaction.

A wrist-based wearable has the additional benefit of easily serving as a platform for compute, battery, and antennas while supporting a broad array of sensors. The missing piece was finding a clear path to rich input, and a potentially ideal solution was EMG.

EMG — electromyography — uses sensors to translate electrical motor nerve signals that travel through the wrist to the hand into digital commands that you can use to control the functions of a device. These signals let you communicate crisp one-bit commands to your device, a degree of control that’s highly personalizable and adaptable to many situations.

The signals through the wrist are so clear that EMG can understand finger motion of just a millimeter. That means input can be effortless. Ultimately, it may even be possible to sense just the intention to move a finger. 

“What we’re trying to do with neural interfaces is to let you control the machine directly, using the output of the peripheral nervous system — specifically the nerves outside the brain that animate your hand and finger muscles,” says FRL Director of Neuromotor Interfaces Thomas Reardon, who joined the FRL team when Facebook acquired CTRL-labs in 2019.

This is not akin to mind reading. Think of it like this: You take many photos and choose to share only some of them. Similarly, you have many thoughts and you choose to act on only some of them. When that happens, your brain sends signals to your hands and fingers telling them to move in specific ways in order to perform actions like typing and swiping. This is about decoding those signals at the wrist — the actions you’ve already decided to perform — and translating them into digital commands for your device. It’s a much faster way to act on the instructions that you already send to your device when you tap to select a song on your phone, click a mouse, or type on a keyboard today.

5. Completing The God Protocols: A Comprehensive Overview of Chainlink in 2021 – SmartContent

In 1997, computer scientist Nick Szabo described what he termed the “God Protocols.” In short, the God Protocols refer to the general idea of a set of computer protocols that could arbitrate and facilitate processes involving an exchange of value between two or more independent parties without any bias, error, or privacy concerns. This perfect third party would be equally accessible to all participants, fairly and flawlessly execute actions according to mutually pre-agreed upon rules and commands, and wouldn’t leak sensitive information to unintended entities.

When extrapolated out to multi-party contracts, the God Protocols are designed to eliminate inefficiencies and counterparty risk by replacing human-based arbitrators/executors with math-based arbitrators/executors, resulting in the correct party consistently getting what they are owed, when they are owed, and from whom they are owed, based entirely on a provably objective interpretation of the events in which the contract is written about. Additionally, the Gods Protocols would extract as little value as possible from the process, only receiving what is needed to cover the costs of performing it…

…The third component to the God protocols is for smart contracts to become aware of events and interact with systems existing outside the native blockchain they run on. External connectivity entails two functions: 1) consuming data originating outside the blockchain and 2) passing instructional commands to external systems for them to perform (e.g., execute a payment on PayPal).

Blockchains are inherently closed and deterministic systems, meaning they have no built-in capabilities to talk to and exchange data between external systems (as doing so could break network consensus). While this generates the valuable security and reliability properties that users seek when using a blockchain, it also severely limits the types of data inputs that smart contracts can ingest and the types of output actions they can trigger on external systems. Most valuable datasets like financial asset prices, weather conditions, sports scores, and IoT sensors, as well as the currently preferred fiat settlement methods like credit cards and bank wires, exist outside the blockchain (off-chain). Given the importance of these resources to real-world business processes, blockchains need a secure bridge to the outside world in order to support a vast majority of smart contract application use cases.

Providing smart contracts connection to the outside world requires an additional piece of infrastructure known as an oracle. An oracle is an external entity that operates on behalf of a smart contract by performing actions not possible or practical by the blockchain itself. This usually involves retrieving and delivering off-chain data to the smart contract to trigger its execution or passing data from the smart contract to an external system to trigger an off-chain event. It can also involve various types of off-chain computations in advanced oracle networks (discussed more below), such as aggregating data from multiple sources or generating a provably fair source of randomness.

Similar to blockchains, the oracle mechanism cannot be operated by a single entity, as that would give the centralized oracle sole control over the inputs the contract consumes, thus control over the outputs it produces. Even if the blockchain is highly secure and the smart contract logic is perfectly written, the oracle will put at risk the entire value proposition of the smart contract if it is not built to the same security and reliability standards as the underlying blockchain network, often referred to as the oracle problem. Why have a blockchain network of thousands of nodes when it’s triggered by a single entity?

6. What If Interest Rates Don’t Matter as Much as We Think? – Ben Carlson

It’s obvious the Fed is propping up risk assets, right?

Well investors in the 1960s, 1970s and 1990s were more than happy to take speculation to another level with rates much much higher than they’ve been since 2008.

The same is true of the housing market…

…Interest rates do matter. They provide a hurdle rate, discount rate, benchmark, alternative to risk assets, however you want to look at it.

But they aren’t the be-all, end-all to the markets some would have you believe.

There are so many other factors at play that determine why investors do what they do with their money — demographics, demand, risk appetite, past experiences and a whole host of psychological and market-related dynamics.

Interest rates don’t turn people into gamblers.

They don’t force investors into lottery-ticket traders looking to get rich overnight.

Humans are just fine doing that on their own, regardless of interest rate levels.

Could there be a psychological impact if rates rise from here or fall from here or go nowhere for years on end?

Of course!

7. Five Investing Powers – Morgan Housel

Low susceptibility to FOMO. But for a different reason than you might think. The urge to buy an investment because its price went up means you probably don’t know why the price has gone up. And if you don’t know why the price has gone up you’re more likely to bail when it goes down. Most good investing is just sticking around for the longest time possible, through thick and thin. Quash the need to own whatever is going up the most and you reduce the urge to abandon whatever eventually goes down. Someone will always be getting richer than you. It’s OK.

Knowing what game you’re playing. An idea that’s obvious but overlooked is that investors on the same field play different games. We buy the same companies, read the same news, talk to the same people, are quoted the same market prices – but we’re everything from day traders to endowments with century-long time horizons. Even investors who think they’re playing the same game – say, stock pickers – have wildly different goals and risk tolerances. My view is that most investing debates do not reflect genuine disagreement; they reflect investors playing different games talking over each other, upset that people who don’t want what you want can’t see what you see. Understanding your game, without being swayed by people playing different games, is a rare investing power.

Recognizing the difference between patience and stubbornness. Two things are true: 1) every asset goes through temporary out-of-favor periods, and 2) the world changes, and some things fall permanently out of favor. Industries go through normal cycles, then they die. Investing strategies work for decades, then they stop. Realizing that patience plays the most important role in investing, but it shouldn’t be used blindly in every situation, is so hard. Dealing with it requires a combination of conviction and flexibility that can feel like a contradiction. The trick – and that’s the right word – is realizing that some behaviors never change but the composition of the economy always does. Having a few immutable beliefs but even more that you’re willing to abandon is a rare investing power.

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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 Amazon, Apple, Facebook, Illumina, and PayPal. Holdings are subject to change at any time.

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 21 March 2021:

1. Reverse Wealth Transfer on Steroids – Josh Brown

Do not buy SPACs, digital currencies or non fungible tokens sold to you by millionaires and billionaires with your stimulus check.

This is the exact opposite of what’s intended for young people like yourself receiving stimulus checks from the government. These checks are meant to improve your current situation by giving you a chance to purchase things that you need today or pay your bills or pay down debt. Speculating in digital assets is not part of the intent. Buying an online baseball card is not helping you, even if it goes up in price immediately after your having bought it…

…Trillionaires have the right to create any kind of nonsense they want and offer it up for sale. You have the right to come to your senses and say, “You know what, I don’t actually need that shit, I need a job. I need a nice new suit to go on interviews with. I need to fix my car. I need to upgrade my apartment so I can bring a date home and not be embarrassed about my situation.”…

…Take the $1400 and do one of these things:

Buy a business suit, some nice shirts and a pair of shoes. Laugh all you want, but these will be tools you can use to get into the right rooms and meet the right people. I promise you this is true: When you’re well dressed, people treat you differently. With respect. With honor. They hold doors for you and make eye contact with you. They can tell you hold yourself in high esteem and this subconsciously encourages them to hold you in high esteem as well. You can scoff at this and call it materialistic or bourgeois or anachronistic or whatever other big bad words you learned in college, but what I am telling you is the truth. If you had invented Facebook, you would have invented Facebook. But you didn’t. So the hoodie isn’t going to work. Watch how people deal with you when your shirt is tucked in and your shoes are shined.

Buy a bicycle. Set a routine. Breathe fresh air. See the sun. Feel the breeze. Smell the roses. You can listen to your podcasts while getting some exercise and being a human being. Every hour you spend with your eyes off the screens is an hour better spent. You will know I am right because you will feel it in your soul.

Buy a cookbook and some high quality pots and pans. Maintaining a grown-up kitchen with nice implements and utensils, as well as obtaining the ability to make quality meals for yourself or others will bring you the kind of psychic income that speculating in someone else’s shitty art projects can never replace.

2. Ray Dalio & The Power of Setting Defaults For Optimism – Ben Carlson

Optimism pays when it comes to investing because, most of the time, markets go up. The stock market is up roughly 3 out of every 4 years, on average. Over the long-term, optimism as a strategy is nearly impossible to beat. This is why buy and hold is perhaps the greatest strategy ever invented.

Unfortunately, there are always good reasons to be worried. The future is always uncertain. There is always bad news and we hear about that bad news more than any generation in history in the information age.

And there is something about finance people that makes them worry more about the downside than the upside. It’s like the exact opposite of people in Silicon Valley who are almost unanimously optimistic about the future.

Ray Dalio may be right to worry about the future. But he has a long track record of worrying about the future that hasn’t really panned out that well.

Dalio penned a piece for Institutional Investor about the importance of knowing when you’re wrong and changing your mind. He used his own prediction of a depression in the early-1980s as an example:

The biggest of these mistakes occurred in 1981–’82, when I became convinced that the U.S. economy was about to fall into a depression. My research had led me to believe that, with the Federal Reserve’s tight money policy and lots of debt outstanding, there would be a global wave of debt defaults, and if the Fed tried to handle it by printing money, inflation would accelerate. I was so certain that a depression was coming that I proclaimed it in newspaper columns, on TV, even in testimony to Congress. When Mexico defaulted on its debt in August 1982, I was sure I was right. Boy, was I wrong. What I’d considered improbable was exactly what happened: Fed chairman Paul Volcker’s move to lower interest rates and make money and credit available helped jump-start a bull market in stocks and the U.S. economy’s greatest ever noninflationary growth period.

Of course, there was no depression. Instead, the early-1980s kicked off one of the longest expansions in market and economic history.

That history bled into the 1990s as well. It may not seem like it when you look back at high double-digit returns from 1980-1999 but the nirvana-like economic and market environment in the 1990s was not a foregone conclusion at the outset of the decade.

In a piece from the New York Magazine in 1992, Dalio was quoted saying bonds were a better bet than stocks over the course of the 1990s:

Over the long term, both Dalio and Jones agree, as a result of these circumstances bonds in the nineties will almost certainly outperform stocks. In the fifties, says Dalio, wary investors were still looking in the rearview mirror at the Depression of the thirties, when stocks took the shellacking of all time. Thus, bonds remained the preferred investment when the environment of accelerating growth and inflation actually favored stocks. As a result, those who took what appeared to be a risk and bought stocks in the fifties wound up making fortunes, while those who bought bonds wound up eventually losing their shirts.

Now, says Dalio, the situation is precisely reversed. Investors in the nineties remain traumatized over the carnage that inflation and sky-high interest rates wreaked in the bond market in the seventies, so they’re investing in stocks instead. Unfortunately, says Dalio, the current economic climate of low inflation and historically slow growth means that bonds will actually prove to be the better long-term performers.

To be fair, bonds did perform well in the 1990s. The 10 year treasury returned nearly 67% in total from 1992-1999 or 6.6% per year. That’s pretty good for bonds. But the S&P 500 was up more than 316% or nearly 20% per year from 1992-1999.

Dalio was wrong again.

Then in 2015, Dalio began warning we could see a repeat of the 1937 downturn. This nasty recession and 50% market crash is highly underrated by historical standards because it was sandwiched between the Great Depression and WWII. Dalio made a similar prediction for a 1937 situation in 2017.

Alas, there was no double-dip recession following the Great Financial Crisis. The stock market and the economy were doing just fine until the pandemic hit and now are back on trend.

Now, I’m not pointing out Dalio’s mistakes here to rub it in his face. We all get stuff wrong when it comes to the markets. This stuff is hard…

…Whatever the case may be, it appears Dalio doesn’t allow his macro predictions to influence Bridgewater’s investment strategy. Or if he does, it certainly doesn’t show up in their long-term track record.

I’m a huge advocate for default settings as an investor.

You should default your savings rate. Default increases to that savings rate over time. Default your investment choices. Default your bill payments. Automating good decisions ahead of time is one of the most important steps you can take to meaningfully improve your finances.

And when it comes to investing, the most important default by far is optimism.

Yes, there are always going to be risks but pessimism does not pay as a strategy over the long-run.

If you’re not optimistic about the future, what’s the point of investing in the first place?

3. Too Much, Too Soon, Too Fast – Morgan Housel

Let me tell you about Robert Wadlow. He was enormous, the largest human ever known.

A pituitary gland abnormality bombarded Wadlow’s body with growth hormone, leading to staggering size. He was six feet tall at age seven, seven feet tall by age 11, and when he died at age 22 stood an inch shy of nine feet tall, weighed 500 pounds, and wore size 37 shoes. His hand was a foot wide.

He was what fictional stories would portray as a superhuman athlete, capable of running faster, jumping higher, lifting more weight and crushing more bad guys than any normal person. Like a real-life Paul Bunyan.

But that was not Wadlow’s life at all.

He required steel leg braces to stand and a cane to walk. His walk wasn’t much more than a limp, requiring tremendous effort. What few videos of Wadlow exist show a man whose movements are strained and awkward. He was rarely seen standing on his own, and is usually leaning on a wall for support. So much pressure was put on his legs that near the end of his life he had little feeling below his knees. Had Wadlow lived longer and kept growing, casual walking would have caused leg bones to break. What actually killed him was nearly as grim: Wadlow had high blood pressure in his legs due to his heart’s strain to pump throughout his enormous body, which caused an ulcer, which led to a deadly infection.

You can’t triple the size of a human and expect triple the performance – the mechanics don’t work like that. Huge animals tend to have short, squatty legs (rhinos) or extremely long legs relative to their torso (giraffes). Wadlow grew too large given the structure of the human body. There are limits to scaling.

Writing before Wadlow’s time, biologist J.B.S. Haldane once showed how many things this scaling issue applies to.

A flea can jump two feet in the air, an athletic human about five. But if a flea were as large as a man, it would not be able to jump thousands of feet – it doesn’t scale like that. Air resistance would be far greater for the giant flea, and the amount of energy needed to jump a given height is proportional to weight. If a flea were 1,000 times its normal size, its hop might increase from two feet to perhaps six, Haldane assumed.

Look around and this concept is everywhere, in every direction…

…“For every type of animal there is a most convenient size, and a change in size inevitably carries with it a change of form,” Haldane wrote.

A most convenient size.

A proper state where things work well, but break when you try to scale them into a different size or speed.

Which, of course, also applies to business and investing.

4. Apple, CAID, and China: rock, meet hard place – Eric Seufert

Early this week, it was revealed that the China Advertising Association (CAA), a state-backed advertising trade group in China, has rolled out its China Advertising ID (CAID) to a consortium of large Chinese advertisers for use as an alternative to the IDFA, which is set to be deprecated imminently in iOS 14.5.

The CAID is effectively a crowd-sourced persistent ID derived from device fingerprints: the CAA has created something of a data co-op, where members — which pay a participation fee — pool IP-indexed fingerprints to allow for devices to be identified as they engage with apps. The general idea is that if enough parameters are captured for a given device in a fingerprint, and the device is fingerprinted in enough apps in a short amount of time, the device can be identified even when its IP address changes because the other parameters (like memory utilization) stay relatively constant.

Building this type of probabilistic identity mechanism is fairly straightforward, but in order for it to be viable, participation and coordination are required from publishers that have large and overlapping user bases. This is the reason I was skeptical of such a solution being broadly adopted, as I articulated in this Twitter thread from a few months ago: in order for a fingerprinting solution based on IP addresses to provide utility, frequent touchpoints with users must be maintained to capture fingerprint snapshots that change subtlely enough for an identity to be probabilistically valid. It seemed unlikely that Western companies would be willing to cooperate to the degree necessary to deliver that. But the ability to coordinate nearly unimaginable, mass-scale projects, of the flavor seen during COVID, is the Chinese government’s distinctive advantage. Whereas a data co-op comprised of large US-based app publishers and ad networks is nearly unimaginable, apparently, ByteDance, Tencent, and Baidu are all participating in the CAID program that is organized by the state-sponsored CAA.

The development and adoption of the CAID puts Apple in a difficult position. Rock, meet hard place: China is Apple’s second-largest market after the US, and the specter of a WeChat ban on the iPhone during the Trump administration was estimated to potentially reduce Apple’s iPhone sales revenue by up to 30%. Apple already applies a separate standard with its App Store guidelines for certain Chinese developers, allowing eg. Tencent to run what is essentially an app store inside of WeChat. Would Apple simply extend this notion of a separate Chinese principle to privacy and allow CAID to be used for persistent identity by Chinese companies while subjecting companies domiciled elsewhere (read: Facebook) to the restrictions of ATT, which explicitly prohibits fingerprinting?

5. Twitter thread on the laws that govern the banking business – Maxfield on Banks

The longer you study a subject, the closer you get to the core laws that govern it. Here are 10 laws that govern banking, deduced from a decade of studying the industry… [thread]

1. Success in banking is foremost about winning a war of attrition. More than 17,300 banks have failed since the birth of the modern American banking industry in the Civil War. That’s over three times the number of banks in business today…

…3. The darlings in one era are often pariahs in the next. In 1978, Continental Illinois Bank & Trust was selected by Dun’s Review as one of America’s five best-managed companies. Six years later, it was seized by the FDIC due to mismanagement.

4. The crux of banking is watching what others are doing and then not doing it yourself. Warren Buffett calls this the institutional imperative: “the tendency of executives to mindlessly imitate the behavior of their peers, no matter how foolish it may be to do so.”

5. Credit quality is a myth until it’s a reality. Washington Mutual’s nonperforming assets as a % of all assets:

1998: 0.73%
1999: 0.55%
2000: 0.53%
2001: 0.93%
2002: 0.97%
2003: 0.70%
2004: 0.58%
2005: 0.57%
2006: 0.80%
2007: 2.17%
2Q08: 6.62%
4Q08: Failed…

…8. All roads lead to skin in the game. One reason M&T Bank has been so successful, its CEO Rene Jones once explained, “is that we could get 60% of our shareholders seated around the coffee table in my predecessor’s office.”

6. 2020 in Review – Howard Marks

Finally, much of the worry about whether we’re in a bubble relates to valuations. For the S&P 500, for example, the current ratio of price to projected 2021 earnings is roughly 22 (depending on which earnings estimates you use). This seems expensive compared to the historic average in the range of 15-16. But knee-jerk judgments based on the relationship between current valuations and historic averages are too simplistic to be dispositive. Before making a judgment about today’s valuation of the S&P 500, one must consider (a) the context in terms of interest rates, (b) the shift in its composition in favor of rapidly growing technology companies, with their higher valuations, (c) the valuations of the index’s individual components, including those tech companies, and (d) the outlook for the economy. With these factors in mind, I don’t think most of today’s asset valuations are crazy. Of course, a big correction in speculative stocks could have a negative impact on today’s bullish investor psychology.

In particular, as to item (a) above, we can look at the relationship between today’s 4.5% earnings yield* on the S&P 500 and the yield on the 10-year Treasury note of 1.4%. The implied “equity risk premium” of 310 basis points is very much in line with the average of 300 bp over the last 20 years. Valuations can also be viewed relative to short-term interest rates. The current p/e ratio on the S&P 500 of 22 is slightly below the reading of 24 in March 2000 (the height of the tech bubble), and the fed funds rate is around zero today versus 6.5% back then. Thus, in 2000, the earning yield on the S&P 500 was 4.2%, or 230 basis points below the fed funds rate, while today it’s 450 bp above. In other words, the S&P 500 is much cheaper today relative to short-term rates than it was 21 years ago.

The story is similar in the credit market. For example, the yield spread on high yield bonds versus Treasurys is below the historic range, although probably still more than adequate to offset likely credit losses. Thus, as with most other assets today, the price of high yield bonds is high in the absolute, fair-ish in relative terms, and highly reliant on interest rates staying low.

So where does that leave us? In many ways, we’re back to the investment environment we faced in the years immediately prior to 2020: an uncertain world, offering the lowest prospective returns we’ve ever seen, with asset prices that are at least full to high, and with people engaging in pro-risk behavior in search of better returns. This suggests we should return to Oaktree’s pre-Covid-19 mantra: move forward, but with caution. But a year or two ago, we were in an economic recovery that was a decade old – the longest in history. Instead, it now appears we’re at the beginning of an economic up-cycle that’s likely to run for years.

Over the course of my career, there have been a handful of times when I felt the logic for calling a top (or bottom) was compelling and the probability of success was high. This isn’t one of them. There’s increasing mention of a possible bubble based on concerns about valuations, federal government spending, inflation and interest rates, but I see too many positives for the answer to be black-or-white.

7. Twitter thread on lessons learned from working for Sheryl Sandberg, currently Facebook’s COO – Dan Rose

I learned about leadership & scaling from Sheryl Sandberg. My direct manager for 10+ yrs, we spent countless hours together in weekly 1x1s (she attended religiously), meetings, offsites, dinners, travel, etc. Here are some of the most important lessons I took away from Sheryl:

In one of our early M-team offsites, everyone shared their mission in life. Sheryl described her passion for scaling organizations. She was single-mindedly focused on this purpose and loved everything about scaling. It’s a huge strength to know what you were put on earth to do.

Sheryl implemented critical systems to help us scale – eg 360 perf reviews, calibrations, promotions, refresh grants, PIPs. She brought structure to our management team and board meetings, hired senior people across the company, and streamlined communications up and down the org.

Sheryl told Mark the things he didn’t want to hear. As companies grow, people don’t want to give the CEO bad news. Mark knew Sheryl would never worry about losing her job or falling out of favor. And over time Sheryl taught me and others how to be truth-tellers for her and Mark.

Sheryl refused to participate in late night meetings. She had the confidence to admit she went to bed at 10pm and told Mark she’d be happy to meet when she woke up at 5am if he still hadn’t gone to bed yet. Her vulnerability was inspiring and signaled strength not weakness…

…Sheryl & I disagreed early on about a decision. I thought Mark would agree with me so I went around her to make my case. She sat me down and explained that if we were going to work together she needed to be able to trust me. She invited escalation but insisted on transparency.

We faced a tough situation with a partner and one of their board members asked Sheryl to meet. She invited me to join but I demurred, I knew this would be a contentious mtg. She told me about one of her colleagues in DC who testified when nobody else wanted to – “step up, own it”

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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 Apple, Facebook, and Tencent. Holdings are subject to change at any time.

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 14 March 2021:

1. The Fed Isn’t Printing As Much Money As You Think – Morgan Housel

The risk of rising inflation over the next few years is probably the highest it’s been in decades. Inflation happens when too much money chases too few goods, and Covid-19 closed a lot of businesses and gave people an unprecedented amount of money. The stars align.

That out of the way, let me cool things down: The Fed is printing a lot of money, but not nearly as much as it looks…

…Money supply has increased from $4 trillion a year ago to $18 trillion today.

A 450% increase!

That’s something you might see in a third-world country with hyperinflation.

But before you dump life savings into gold and build a bunker, here’s the punchline: The huge majority of the increase you’re seeing in this chart is not money printing or new money creation.

It’s an accounting rule change.

Here’s what happened.

The supply of money is measured a few different ways. M1, which this chart shows, measures money that’s readily available – mostly paper cash, coins, and checking accounts.

Another measure called M2 is a little broader. It includes money in savings accounts and retail money market accounts.

The difference between a checking and savings account is how often you can access your money. That might seem trivial but it explains most of what happened in this chart.

If you put money in a checking account, regulators make banks set aside a cushion as reserves in case they get into trouble. But if you put money into a savings account, regulators tell banks they don’t have to reserve anything. The catch is that it’s only considered a savings account if the consumer is allowed to make no more than six withdrawals per month.

It’s worked that way for years.

But then Covid hit, and regulators realized that having trillions of dollars in savings accounts with limited withdrawals was a burden as 22 million people lost their jobs.

So last April the Fed changed the rules and eliminated the six-withdrawal limit on savings accounts…

…But it changed the relationship between M1 and M2.

Savings accounts are measured in M2 and left out of M1. But once the six-withdrawal rule was removed, every savings account suddenly became, in the eyes of regulators and people who make these charts, a checking account.

So M1 exploded higher. Not because the Fed printed a bunch of money, but because trillions of dollars in savings accounts were reclassified as checking accounts.

2. Twitter thread on how the great physicist Richard Feynman developed deep understanding of a given topic – Sahil Bloom

Richard Feynman observed that complexity and jargon are often used to mask a lack of deep understanding. The Feynman Technique is a learning framework that forces you to strip away needless complexity and develop a deep, elegant understanding of a given topic. The Feynman Technique involves four key steps:

(1) Identify
(2) ELI5 (“Explain It To Me Like I’m 5”)
(3) Reflect & Study
(4) Organize, Convey & Review

Let’s cover each step and how you can make this powerful framework work for you…

Step 1: Identify
What is the topic you want to learn more about?
Identify the topic and write down everything you know about it.
Read and research the topic and write down all of your new learnings (and the sources of each).
This first step sets the stage for what is to come.

Step 2: ELI5
Attempt to explain the topic to a child.
Once again, write down everything you know about your topic, but this time, pretend you are explaining it to a child.
Use simple language and terms.
Focus on brevity.

Step 3: Reflect & Study
Reflect on your performance in Step 2.
How well were you able to explain the topic to a child? Where did you get frustrated? Where did you resort to jargon or get stuck?
These are the gaps in your understanding.
Read and study to fill them.

Step 4: Organize, Convey & Review
Organize your elegant, simple language into a compelling story or narrative.
Convey it to others. Test-and-learn. Iterate and refine your story or narrative accordingly.
Review (and respect) your new, deeper understanding of the topic.

3. Write Simply – Paul Graham

There’s an Italian dish called saltimbocca, which means “leap into the mouth.” My goal when writing might be called saltintesta: the ideas leap into your head and you barely notice the words that got them there.

It’s too much to hope that writing could ever be pure ideas. You might not even want it to be. But for most writers, most of the time, that’s the goal to aim for. The gap between most writing and pure ideas is not filled with poetry.

Plus it’s more considerate to write simply. When you write in a fancy way to impress people, you’re making them do extra work just so you can seem cool. It’s like trailing a long train behind you that readers have to carry.

And remember, if you’re writing in English, that a lot of your readers won’t be native English speakers. Their understanding of ideas may be way ahead of their understanding of English. So you can’t assume that writing about a difficult topic means you can use difficult words.

Of course, fancy writing doesn’t just conceal ideas. It can also conceal the lack of them. That’s why some people write that way, to conceal the fact that they have nothing to say. Whereas writing simply keeps you honest. If you say nothing simply, it will be obvious to everyone, including you.

Simple writing also lasts better. People reading your stuff in the future will be in much the same position as people from other countries reading it today. The culture and the language will have changed. It’s not vain to care about that, any more than it’s vain for a woodworker to build a chair to last.

Indeed, lasting is not merely an accidental quality of chairs, or writing. It’s a sign you did a good job.

4. State of the Cloud 2021 – Bessemer Venture Partners

Top takeaways

1. Cloud companies have not just reset in the New Normal, but have thrived with a record-breaking market capitalization of more than $2 trillion.
2.There’s been a changing of the guard afoot: MT SAAS has overtaken FAANG.
3. Cloud multiples are rising to new heights, with both public and private cloud trading over 20x.
4. Cloud growth rates and access to capital are at all-time highs, with the average Cloud 100 company growing 80% YoY and $186 billion going into private cloud companies in 2020 alone.
5. Good-better-best of growth endurance is 70%-75%-80%.
6. GTM strategies have adapted in the New Normal; best practices include product-led growth, usage-based pricing, and the adoption of cloud marketplaces.

5. Interview: Patrick Collison, co-founder and CEO of Stripe – Noah Smith

N.S.: So, what are the three things that excite you most about the 2020s?

It’s hard to restrict to three! But here are the first that jump to mind:

First, the explosive expansion in access to opportunity facilitated by the internet. Sounds prosaic but I think still underestimated. Several billion people recently immigrated to the world’s most vibrant city and the system hasn’t yet equilibrated. When you think about how YouTube is accelerating the dissemination of tacit knowledge, or the number of creative outsiders who can now deploy their talents productively, or the number of brilliant 18 year-olds who can now start companies from their bedrooms, or all the instances of improbable scenius that are springing up… in the landscape of the global commons, the internet is nitrogen fertilizer, and we still have a long way to go — economically, culturally, scientifically, technologically, socially, and everything in between. I challenge anyone to watch this video and not feel optimistic.

Second, progress in biology. I think the 2020s are when we’ll finally start to understand what’s going on with RNA and neurons. Basically, the prevailing idea has been that connections between neurons are how cognition works. (And that’s what neural networks and deep learning are modeled after.) But it looks increasingly likely that stuff that happens inside the neurons — and inside the connections — is an important part of the story. One suggestion is that RNA is actually part of how neurons think and not just an incidental intermediate thing between the genome and proteins. Elsewhere, we’re starting to spend more time investigating how the microbiome and the immune system interact with things like cancer and neurodegenerative conditions, and I’m optimistic about how that might yield significantly improved treatments. With Alzheimer’s, say, we were stuck for a long time on variants of plaque hypotheses (“this bad stuff accumulates and we have to stop it accumulating”)… it’s now getting hard to ignore the fact that the immune system clearly plays a major — and maybe dominant — role. Elsewhere, we’re plausibly on the cusp of effective dengue, AIDS, and malaria vaccines. That’s pretty huge.

Last, energy technology. Batteries (88% cost decline in a decade) and renewables are well-told stories and the second-order effects will be important. (As we banish the internal combustion engine, for example, we’ll reap a significant dividend as a result of the reduction in air pollution.) Electric aircraft will probably happen, at least for shorter distances. Solar electricity is asymptoting to near-free, which in turn unlocks other interesting possibilities. (Could we synthesize hydrocarbons via solar powered atmospheric CO2 concentration — that is, make oil out of air — and thereby render remaining fossil fuel use-cases carbon neutral?) There are a lot of good ideas for making nuclear energy safer and cheaper. France today gets three quarters of its electricity from nuclear power… getting other countries to follow suit would be transformatively helpful in averting climate change.

There’s lots more! New semiconductor technology. Improved ML and everything that that enables. Starlink — cheap and fast internet everywhere! Earth-to-earth travel via space plus flying cars. The idea of urbanism that doesn’t suck seems to be gaining traction. There’s a lot of good stuff on the horizon.

6. The Biggest Economic Experiment in History – Ben Carlson

The Great Depression left an indelible mark on household finances because there was no government backstop. No unemployment insurance. No Social Security. No checks in the mail.

So a generation of frugal misers was born.

I don’t think we have to worry about that happening this time around. If anything, people are worried about the opposite — a nation of risk-takers and speculators.

It’s way too early to draw any concrete conclusions just yet but the total amount of money that’s helped get people through the pandemic is staggering…

…But the Post notes the total tab is $2.2 trillion to workers and families in total from each of these bills. That’s more than the government spends on Social Security, Medicare and Medicaid combined in a given year.

There are, of course, people who are worried about this level of spending. Who is going to pay for all of this government debt? What happens if this overheats the economy and we get inflation?

These concerns are valid. There are risks here.

It should be noted that government debt doesn’t ever truly get paid back. It’s not a mortgage. One of the ways you “pay” it back is through higher economic growth and inflation.

It’s understandable why people are nervous about the prospect of inflation from all this spending. The first thing people think about when they hear the word ‘inflation’ is higher prices. Why would anyone want to pay higher prices for goods and services?

But inflation does not exist in a vacuum and it’s not all bad.

The entire reason the Fed is willing to let inflation run a little hot is because they’re trying to get to full employment.1 If that happens companies will either have to become more productive and efficient or pay more to attract talent.

This is one of the things most people miss when thinking about the ramifications of inflation. Yes, prices rise and your standard of living becomes more expensive but the only way we get sustained inflation is through wage increases. And that higher inflation could come with higher economic growth as well. The whole pie could get bigger.

You can have both at the same time…

…Listen, I have no idea what’s going to come from all of this spending. No one does. This is unprecedented. I’m trying to see both sides of the potential outcomes.

We could see the roaring 20s. GDP growth of 4-5% over the next 3-4 years is on the table.

We could see inflation get out of control, which causes the Fed to raise rates or the government to raise taxes or both, leading to a recession.Financial assets could take off from a booming economy or struggle because of inflation.

All I know is this is an economic experiment on a massive scale the likes of which this country has never seen before.

And for once, the lower and middle class appear to be the main beneficiaries.

7. The day the growth trade topped – Josh Brown

One of the myriad ways you can spot a veteran investor amid a crowd of new or inexperienced investors – the veteran doesn’t need a reason to explain everything that’s happened. Veterans, after ten or twenty years, come to accept the randomness inherent in the game. Until you can accept that there isn’t always a reason for everything, it’s hard to move forward in this business.

Sometimes psychology just changes and sellers become in the mood to buy, or buyers get in the mood to sell. The media takes note of this shift in behavior and attitudes, and it sets out to find a reason for it afterwards. They do this because it satisfies the audience’s very human need for cause and effect. We all want linearly plotted story lines that have a beginning, a middle and an end. We want to know what force caused this or that reaction, because – our minds reason – if we see that force abate, then so too will we see the reaction subside.

This week it’s rising rates. Treasury bond rates are rising which is said to be bad for high multiple growth stocks therefore if we can just get ahead of when rates might stop rising, maybe people will stop selling high multiple growth stocks and start buying them again.

Now, of course, this “analysis” completely disregards the fact that stocks and interest rates have a history of rising together. This happens all the time. Stocks have risen in 13 of the last 15 rising rate environments. Tech stocks too. High multiple tech stocks too.

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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. We don’t have a vested interest in any companies mentioned. Holdings are subject to change at any time.

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 07 March 2021:

1. The Cost of Convenience – Max Kim

Coupang — a portmanteau of coupon and the sound of one going off: pang! — was launched in August 2010 by Kim Beom-seok, a Korean American in his early 30s, as a daily-deals “social commerce” venture modeled on Groupon. Launched with backing from Clayton Christensen’s Disruptive Innovation Fund, it was turning a modest profit by 2012, when Kim — who goes by “Bom Kim” in English — decided to take the company public on the Nasdaq.

The weekend before the listing was due, Bom Kim pulled the plug. His vision, he had said in numerous interviews, was to create something that left customers saying, “How did I ever live without Coupang?” — and his company wasn’t that. From then on, the company would model itself not on Groupon, but on Amazon.

By 2015, Coupang had built something that surpassed even Amazon: a long, unbroken supply chain, whereby products moved seamlessly from warehouse to driver to customer, with 99% of orders delivered within 24 hours, all year and 7 days a week. (Amazon has since made a similar delivery network.) In 2016, Coupang was named one of the 50 Smartest Companies by MIT Technology Review. The same year, Bom Kim appeared on Forbes’ “Global Game Changers” list with the tagline “beating Jeff Bezos at his own game.”

Like Bezos, Bom Kim had rightly predicted that faster and “frictionless” delivery — not just competitive pricing and wide selections — would be the future of e-commerce. And with its dense, smartphone-friendly urban populations, South Korea was close to a perfect market. At the time, a slate of third-party marketplaces and Groupon imitators made up most of the country’s e-commerce sector.

“In modeling itself after Amazon by investing aggressively in its own logistical infrastructure, Coupang swooped in and set an entirely new standard for e-commerce [in South Korea],” says Im Il, a professor at the Yonsei University School of Business in Seoul. “It eventually sparked both a price war and a delivery war across the entire market.”…

…To cement Coupang’s control over the last mile, Bom Kim did something that few others in the industry wanted to: he hired his own drivers.

In March 2014, the company launched what has since become its crowning achievement, Rocket Delivery, starting with 50 “Coupang Men” — full-time drivers in branded trucks — who guaranteed next-day delivery of packages, which the company calls “gifts.”

Referred to internally as “spreaders of happiness,” Coupang Men were the spiritual ambassadors of the company. To win over female customers in their 20s and 30s — a key demographic — Coupang Men handed out flowers and handwritten cards, snapped photos of packages to confirm delivery, and would know not to ring the doorbell at homes with babies.

Bom Kim called them “the weapon that Amazon doesn’t have.” And unlike local shipping companies, which hired fleets of drivers on precarious temp contracts, Coupang Men were given a fair wage, full insurance coverage, annual health checkups, 15 vacation days a year, and company trucks and gas…

…The toll of this rapid growth is not only financial. The pace of expansion and the demand for maximum speed and efficiency have placed an enormous burden on the people who work fulfilling Coupang’s orders…

…Tae-il, who is stocky with shaggy hair, is wearing his Coupang polo and navy-blue wraps on his arms and knees. He has just picked up the 300 or so packages he will be delivering today from the nearby delivery camp. These apartments are his first stop.

“I have 180 homes today,” he says by way of greeting. His truck is one of the newer models, which supposedly eliminate dead space with sliding side doors that open into three horizontal shelves. The truck is packed to the brim, with boxes squeezed into even the passenger seat. When Tae-il yanks the sliding door open, an avalanche of stuff spills out. Asked how the AI system that orchestrates the loading process works, he answers with an exasperated laugh: “AI? It’s humans that do this work.”…

…Far from the idealized image of the Coupang Man as a “spreader of happiness,” Tae-il, who works 52 hours, five days a week, has a beleaguered air about him. When asked why he’s not writing any personalized letters or dropping off candy, Tae-il sneers. “Not a single person does that anymore. If you do, you get called an idiot. And you will probably get written up for not making deliveries,” he says.

2. How Does the Stock Market Perform When Interest Rates Rise? – Ben Carlson

But it’s also worth remembering the stock market generally holds up well when rates are rising…

…Surprisingly, growth has performed even better than value in large, mid and small cap stocks when rates have risen in the past.

It may also be instructive to look at some historical examples of rising rate environments.

From 1954-1960, the 10 year treasury yield went from 2.3% to 4.7%. In that time, the S&P 500 was up 207% in total (17.4% annualized).

Then from 1971-1981, rates went vertical, rising from 6.2% to 13.7%. This period included sky-high inflation and the brutal 1973-1974 crash, but nominal returns were still pretty decent, at 113% in total (7.1% annual).

From 1993-1994, rates shot up from 6.6% to 8.0%. The S&P 500 was still up nearly 12% in total despite some carnage in the bond market.

At the tail-end of the dot-com bubble, rates rose from 5.5% in 1998 to 6.5% in 1999. Didn’t matter. Stocks were up more than 55% (although that was followed by a 50% crash beginning in early-2000).

From 2003 through 2007, rates went from 3.3% to 5.1%. The S&P rose nearly 83% (12.8% annualized) before the onset of the 2008 crash.

And the latest rising rate environment saw the 10 year go from 1.5% in 2012 to 3% by 2018. Even with the mini-bear market at the end of 2018, stocks were still up 131% in total.

Could rising rates lead to a stock market crash? Yes, that is possible.

Do we know what level of rates will potentially cause a crash? Nope.

Should the stock market care if interest rates are rising for the right reason? Time will tell.

Are tech stocks being propped up by extremely low interest rates? We’ll see.

The problem with the current rate environment is we’ve never experienced interest rates this low before. Maybe investors will become spooked at lower rates than they have in the past. Maybe markets will be given the benefit of the doubt if the economy is chugging along.

3. Google’s Latest Chess Move is Great News for the Open Internet – Jeff Green

Yesterday Google made yet another announcement regarding its approach to the future of identity. And in the 24 hours since then, I’ve fielded dozens of calls about what this means for the open internet and for The Trade Desk.

The short answer? Not much has changed. But what has changed, will ultimately prove positive.

To be clear, Google’s announcement went a step further than they had previously. Specifically, Google stated that “today, we’re making explicit that once third-party cookies are phased out, we will not build alternate identifiers to track individuals as they browse across the web, nor will we use them in our products.”

On the surface, that may not seem like news. Cookies are going away after all. Nothing new there. You already knew that. And, of course, cookies only impact the browsing internet. That’s about 20% of data-driven ads today. 20% is meaningful, but the open Internet has already created an alternative to third-party cookies — Unified ID 2.0. Additionally, cookies don’t matter much to the fastest growing areas of the digital advertising ecosystem, such as CTV. With CTV, consumers log in with an email or phone number and that login helps create everything from customized viewing recommendations to a better ad experience that features fewer, more relevant ads. And this is critical for content owners, who rely on advertising to pay for that expensive content. In this new golden era of TV content quality, ad revenue is crucial to almost every content creator except for Netflix.

Rather, the new revelation is that Google will not rely on any identifiers that they don’t own.

Why is that important? In any chess match, eventually you have to let pieces go. You trade a less valuable piece for those that matter most. Google is making a trade. With this announcement, Google is doubling down on its own properties, such as search and YouTube and adding bricks to the walls around those properties. The trade-off is that Google no longer values serving ads on the rest of the internet as much — certainly not as much as they once did. DoubleClick, the ad server and the ad exchange, will be operating at a small disadvantage going forward. DV360 will likely be in a similar position. On the open internet, they will not use alternative identifiers to cookies, but everyone else will.

Those alternatives, especially Unified ID 2.0, eliminate the cookie syncing problem that once hurt the open internet’s ability to scale. But perhaps most important, Unified ID 2.0 has been designed with the consumer in the driver’s seat. The consumer’s information is not identifiable. The consumer controls how their data is shared. And the consumer gets a simple, clear explanation of the value exchange of relevant advertising in return for free content. With this approach, Unified ID 2.0 has the best opportunity to become a new common currency of the open internet. It’s already beginning. It is a common currency that pays off the value exchange of the internet in a way that benefits publishers, advertisers and consumers. It is also one that cannot be controlled by any one company, including Apple or Google.

4. Twitter thread on the future of the cable TV industry – Matthew Ball

1/ I want to talk about cord cutting and how current forecasts/models are fundamentally flawed (in the technical sense)

I’ve been tracking this for years, and faulty estimates have always stemmed from a focus on cutting rates rather than leading indicators: usage and investment

2/ I describe the disruption-era Pay-TV ecosystem in three waves. It is critical to differentiate in order to prognostic. We are going into a fundamental new state, one never seen before.

I wrote about this here a year ago. Jan-Feb solidified it.

3/ Wave #1 is 2007-2015.

During this time, Pay-TV actually became MUCH better.

It’s VALUE got much better, too. 

Enormous surges in original TV quality (Mad Men, Breaking Bad, Thrones) + volumes (150 to 400 original scripted series per year) + RSN rights…

…5/ Wave #2: 2015-2019.

The Pay-TV ecosystem was still getting better (quality x volume) and now, finally, prices were coming down via vMVPDs. 

So we see a lot more/better content, plus lower prices. 

Two-sided value growth..

…7/ Wave #3: 2019-Present. 

For the first time ever, the Pay-TV ecosystem is getting *objectively* worse, defunded, underfunded, harvested. Disney takes half of FX’s slate and makes it exclusive to Hulu. Remaining half goes next day to Hulu with no/low ads, as does Hulu library…

…14/ This will not have a standard effect on cord cutting. It will not get steeper. Eventually, the floor will start to drop out

Live news/sports are the primary value drivers in the bundle today, true, but Paramount/Peacock now diverting these en masse too

15/ And the very companies that own the live sports/news networks are, for the first time, those driving the decline of Pay-TV too. They cannot do this while unaware of the harm being done to their other pockets, or without planning for further change

5. China’s “Semiconductor Theranos”: HSMC – Kevin Xu

China’s semiconductor ambition just had its first ponzi scheme fully exposed: Wuhan Hongxin Semiconductor Manufacturing (HSMC).

The HSMC ponzi scheme was led by a trio of characters, who have zero expertise in semiconductor (or anything tech related), but are experts in manipulating local government subsidies, construction contractors, a renowned but gullible former TSMC executive, and China’s desperate need for homegrown chips to pull of a heist so large it makes Theranos look amateur…

…Let’s first summarize the major elements of the HSMC heist that unfolded between late 2017 and early 2021 (which may read like a movie script, not real life):

Part I — the Trap:

• Throughout 2017, a man by the name of Cao Shan traveled across China looking for a local government to invest in his semiconductor scheme. (“Cao Shan” is actually a fake name this person uses, because his real name is already tainted by the scams he used to do back in his hometown.)
• Cao eventually found an accomplice, Mr. Long Wei, who worked his connections to get the City of Wuhan’s East-West Lake District Government to provide land and investment.
• Long brought another close friend into the fold: Ms. Li Xueyan, a small business owner who has opened restaurants and sold Chinese rice liquor.
• The trio — Cao, Long, Li — formed the board of directors of what became HSMC.

Part II — the Money:

• Throughout 2018, the trio worked to secure two sources of “income”: direct subsidies from the East-West Lake District Government (aka taxpayer money) and deposits from construction contractors who want to build the HSMC factory.
• Sourcing both government subsidies and contractor deposits is a strategy for scam factory projects to increase the amount of money to be scammed.
• The East-West Lake District Government decided to invest in HSMC partly because of its jealousy of a local rival district, which attracted and incubated a successful flash storage manufacturer.
• To make themselves look important and powerful, the trio would spread false rumors about their personal background. Long was rumored to be the grandson of some high-level official, while Li would pretend to be the sister of some other political figure.
• By May 2019, HSMC has received 6.5 billion RMB (~$1 billion USD) of investment from the district government. Cao and Long have quit the board, giving Li and her cronies full control. Cao began going to other provinces to set up similar ponzi schemes.

Part III — Chiang Shang-Yi, TSMC, and ASML:

• By June 2019, the trio targeted and successfully persuaded Chiang Shang-Yi, the legendary founding CTO of TSMC, to join HSMC as its CEO.
• To convince Chiang, HSMC spread false rumors publicly that it has already attracted 100 billion RMB (~$15 billion USD) of investments. They also took advantage of Chiang’s gullibility and professional insecurities. (At the time, Chiang was a consultant at SMIC, China’s largest chip foundry, with relatively little influence.)
• Using Chiang’s aura, HSMC started aggressively poaching engineers from TSMC with salary packages worth 2 to 2.5x more than what they were earning.
• Chiang also used his industry reputation to convince ASML, the Dutch company and world’s leading manufacturer of lithography equipment, to sell one DUV equipment to HSMC. (DUV is not the most advanced equipment, but this is still a huge coup given heavy US pressure at the time on the Dutch government to not sell to China.)
• December 2019, the ASML equipment was delivered to HSMC amidst huge fanfare. The company also secured more investment due to this accomplishment from the district government, totaling 15.3 billion RMB (~$2.4 billion USD).
• One month later, the same equipment was offered as collateral to a local Wuhan commercial bank for a 580 million RMB loan (~$90 million USD) — another new source of “income” for the heist.

Part IV — HSMC Collapses, Heist Completed:

• During the first half of 2020, while Wuhan was ravaged by the coronavirus, the trio began siphoning HSMC money away.
• One of its primary methods was conducting employee training programs with a company run by Li’s younger brother.
• HSMC also refused to pay its construction contractors money, owing tens of millions of dollars.
• By July 2020, it became clear that HSMC was a scam. Chiang left the company. The Wuhan city government started leaking news that HSMC is running out of money.
• By November 2020, Li was pushed out of the company and the East-West Lake District Government took full ownership of HSMC.
• By January 2021, Chiang rejoined SMIC. HSMC furloughed all its employees for 40 days and reduced salaries across the board.

6. What Is Quantum Computing? – CB Insights

Quantum computing is the processing of information that’s represented by special quantum states. By tapping into quantum phenomena like “superposition” and “entanglement,” these machines handle information in a fundamentally different way to “classical” computers like smartphones, laptops, or even today’s most powerful supercomputers.

Researchers have long predicted that quantum computers could tackle certain types of problems — especially those involving a daunting number of variables and potential outcomes, like simulations or optimization questions — much faster than any classical computer.

But now we’re starting to see hints of this potential becoming reality.

In 2019, Google said that it ran a calculation on a quantum computer in just a few minutes that would take a classical computer 10,000 years to complete. A little over a year later, a team based in China took this a step further, claiming that it had performed a calculation in 200 seconds that would take an ordinary computer 2.5B years — 100 trillion times faster.

Though these demonstrations don’t have practical use cases, they point to how quantum computers could dramatically change how we approach real-world problems like financial portfolio management, drug discovery, logistics, and much more.

Propelled by the prospect of disrupting countless industries and quick-fire announcements of new advances, quantum computing is attracting more and more attention from players including big tech, startups, governments, and the media.

7. When Everyone’s a Genius (A Few Thoughts on Speculation) – Morgan Housel

The end of a speculative boom can be inevitable but not predictable. Unsustainable things can last a long time. Identifying something that can’t go on forever doesn’t mean that thing can’t keep going for years. Years and years and years.

Part of it is emotion. During the Vietnam War Ho Chi Minh said, “You will kill ten of us, and we will kill one of you, but it is you who will tire first.” Emotional trends aren’t beholden to logic, which can keep them going far past any point of reason.

Part is storytelling. Unsustainable trends have life support if enough people think they’re true, and once people believe something’s true it gets hard to convince them it’s not. Or put differently: If enough people believe it’s true it’s just as powerful as actually being true.

Every investor is making bets on the future. It’s only called speculation when you disagree with someone else’s bet.

In hindsight there was as much speculation in the 1990s that Kodak and Sears would keep their market share as there was that eToys and Pets.com would gain market share. Both were bets on the future. Both were wrong. It happens.

Of course there’s a speculation spectrum. But let’s not pretend that others speculate while you only deal with certainties…

…Jim Grant once put it: “To suppose that the value of a stock is determined purely by a corporation’s earnings discounted by the relevant interest rates and adjusted for the marginal tax rate is to forget that people have burned witches, gone to war on a whim, risen to the defense of Joseph Stalin and believed Orson Welles when he told them over the radio that the Martians had landed.”

Optimism is the best long-term mindset. And it requires a certain level of believing things that can’t be verified, either because you don’t have the technical skills to verify them – nobody knows everything – or because something hasn’t happened yet but you think it will happen in the future. Not enough speculation is just as dangerous as too much speculation.

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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), Amazon, Apple, Netflix, and The Trade Desk. Holdings are subject to change at any time.

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 28 February 2021:

1. What Are mRNA Therapies, And How Are They Used For Vaccines? – CB Insights

The ongoing Covid-19 pandemic has highlighted the potential for mRNA therapies, with both of the current FDA-approved Covid-19 vaccines leveraging mRNA. But the potential for mRNA spans beyond that, to treating other infectious diseases, genetic diseases, and even cancer.

Cells use mRNA to translate DNA into proteins, which then can be used to replace abnormal or deficient proteins or to prepare a patient’s immune system to fight against infections or cancerous cells…

…Traditionally, vaccines use fragments of proteins to train the immune system to attack viruses that show similar proteins. However, manufacturing these protein fragments can take months — a particularly challenging timeline in the midst of a pandemic.

In contrast, mRNA vaccines encode protein fragments into a single strand of mRNA, then rely on cellular machinery to produce the proteins. This cuts manufacturing time to a number of weeks.

Moderna Therapeutics, with a Covid-19 vaccine approval under its belt, is already developing 3 new mRNA-based vaccines for HIV, seasonal flu, and the Nipah virus. Another major player in the space, CureVac, has partnered with the Bill and Melinda Gates Foundation to develop vaccines for Rotavirus and malaria…

…mRNA may be the key to unlocking personalized cancer therapies. By combining genetic screening, liquid biopsies, and artificial intelligence, healthcare providers can design and manufacture mRNA therapies specifically made for patients’ unique tumor genetics. Similar to vaccines, mRNA can be used to encode cancer-specific proteins that teach the immune system to recognize and target only a tumor (and not healthy tissue).

There are currently 150+ mRNA-focused clinical trials ongoing for blood cancers, melanoma, brain cancer, prostate cancer, and more.

2. Best Story Wins –  Morgan Housel

The Civil War is probably the most well-documented period in American history. There are thousands of books analyzing every conceivable angle, chronicling every possible detail. But in 1990 Ken Burns’ Civil War documentary became an instant phenomenon, with 39 million viewers and winning 40 major film awards. As many Americans watched Ken Burns’ Civil War in 1990 as watched the Super Bowl that year. And all he did – not to minimize it, because it’s such a feat – is take 130-year-old existing information and wove it into a (very) good story.

Bill Bryson is the same. His books fly off the shelves, which I understand drives the little-known academics who uncovered the things he writes about crazy. His latest work is basically an anatomy textbook. It has no new information, no discoveries. But it’s so well written – he tells such a good story – that it became an instant New York Times bestseller and the Washington Post’s Book of the Year.

Charles Darwin didn’t discover evolution, he just wrote the first and most compelling book about it.

John Burr Williams had more profound insight on the topic of valuing companies than Benjamin Graham. But Graham knew how to write a good paragraph, so he became the legend…

…When a topic is complex, stories are like leverage.

Leverage is just something that squeezes the full potential out of something with less effort. Stories can leverage ideas in the same way debt can leverage assets.

Trying to explain something like physics is so hard if you’re just deadlifting facts and formulas. But if you can explain things like how fire works with a story about balls rolling down hills and running into each other – watch Richard Feynman, an astounding storyteller, do that here – you can explain something complex in seconds, without much effort.

This is more than just persuading others. Stories help you just as much. Part of what made Albert Einstein so talented was his imagination and ability to distill complexity into a simple scene in his head. When he was 16 he started imagining what it would be like to ride on a beam of light, holding onto the sides like a flying carpet and thinking through how it would travel and bend. Soon after he began imagining what your body would feel like if you were in an enclosed elevator riding through space. He contemplated gravity by imagining bowling balls and billiard balls competing for space on a trampoline surface. He could process a textbook of information with the effort of a daydream.

Ken Burns once said: “The common stories are 1+1=2. We get it, they make sense. But the good stories are about 1+1=3.” That’s leverage.

3. The Stock Market Is Smarter Than All of Us – Ben Carlson

In Wealth, War and Wisdom, Barton Biggs writes about two of my most favorite historical topics: (1) World War II and (2) the stock market.

Biggs gives a blow-by-blow history of many of the turning points in the war through the lens of stock markets in various countries.

Many of those market moves seem completely counterintuitive:

On September 1, 1939, Hitler invaded Poland and Prime Minister Neville Chamberlain, his voice quavering, announced Britain was at war with Germany. The next day the New York Stock Exchange experienced a three-day mini-buying panic with a 20 point or 7% gain in the Dow. Volume was the busiest in two years as investors anticipated defense orders would create an economic boom.

We were on the brink of a second world war in 20 years yet investors remained optimistic.

The London stock market more or less predicted the United States would come along to help before it was too late:

The London stock market deduced in the early summer of 1940, even before the Battle of Britain at a time when the world and even many English despaired, that Britain would not be conquered. Stocks made a bottom for the ages in early June although it wasn’t evident until October that there would be no German invasion in 1940 and until Pearl Harbor 18 months later, that Britain would prevail.

It almost seems that throughout 1941 the London stock market intuitively sensed and responded to the growing and deepening alliance between Britain and the United States. It was more confident of America’s entry into the war than even Churchill. Certainly there was no good war news to celebrate because Britain was suffering defeat after defeat.

Even the German stock market got ahead of the fact that the tide was turning on Hitler before anyone else:

Similarly, the German stock market, even though imprisoned in the grip of a police state, somehow understood in October of 1941 that the crest of German conquest had been reached. It was an incredible insight. At the time, the German army appeared invincible. It had never lost a battle; it had never been forced to withdraw. There was no sign as yet that the triumphant offensive into the Soviet Union was failing. In fact, in early December a German patrol actually had a fleeting glimpse of the spires of Moscow, and at the time Germany had domain over more of Europe than the Holy Roman Empire. No one else understood this was the tipping point.

The war didn’t end until 1945 but the Dow bottomed in the spring of 1942 and never looked back:

4. Yuval Noah Harari: Lessons from a year of Covid – Yuval Noah Harari

Three basic rules can go a long way in protecting us from digital dictatorships, even in a time of plague. First, whenever you collect data on people — especially on what is happening inside their own bodies — this data should be used to help these people rather than to manipulate, control or harm them. My personal physician knows many extremely private things about me. I am OK with it, because I trust my physician to use this data for my benefit. My physician shouldn’t sell this data to any corporation or political party. It should be the same with any kind of “pandemic surveillance authority” we might establish.

Second, surveillance must always go both ways. If surveillance goes only from top to bottom, this is the high road to dictatorship. So whenever you increase surveillance of individuals, you should simultaneously increase surveillance of the government and big corporations too. For example, in the present crisis governments are distributing enormous amounts of money. The process of allocating funds should be made more transparent. As a citizen, I want to easily see who gets what, and who decided where the money goes. I want to make sure that the money goes to businesses that really need it rather than to a big corporation whose owners are friends with a minister. If the government says it is too complicated to establish such a monitoring system in the midst of a pandemic, don’t believe it. If it is not too complicated to start monitoring what you do — it is not too complicated to start monitoring what the government does.

Third, never allow too much data to be concentrated in any one place. Not during the epidemic, and not when it is over. A data monopoly is a recipe for dictatorship. So if we collect biometric data on people to stop the pandemic, this should be done by an independent health authority rather than by the police. And the resulting data should be kept separate from other data silos of government ministries and big corporations. Sure, it will create redundancies and inefficiencies. But inefficiency is a feature, not a bug. You want to prevent the rise of digital dictatorship? Keep things at least a bit inefficient.

The unprecedented scientific and technological successes of 2020 didn’t solve the Covid-19 crisis. They turned the epidemic from a natural calamity into a political dilemma. When the Black Death killed millions, nobody expected much from the kings and emperors. About a third of all English people died during the first wave of the Black Death, but this did not cause King Edward III of England to lose his throne. It was clearly beyond the power of rulers to stop the epidemic, so nobody blamed them for failure.

But today humankind has the scientific tools to stop Covid-19. Several countries, from Vietnam to Australia, proved that even without a vaccine, the available tools can halt the epidemic. These tools, however, have a high economic and social price. We can beat the virus — but we aren’t sure we are willing to pay the cost of victory. That’s why the scientific achievements have placed an enormous responsibility on the shoulders of politicians.

Unfortunately, too many politicians have failed to live up to this responsibility. For example, the populist presidents of the US and Brazil played down the danger, refused to heed experts and peddled conspiracy theories instead. They didn’t come up with a sound federal plan of action and sabotaged attempts by state and municipal authorities to halt the epidemic. The negligence and irresponsibility of the Trump and Bolsonaro administrations have resulted in hundreds of thousands of preventable deaths…

…One reason for the gap between scientific success and political failure is that scientists co-operated globally, whereas politicians tended to feud. Working under much stress and uncertainty, scientists throughout the world freely shared information and relied on the findings and insights of one another. Many important research projects were conducted by international teams. For example, one key study that demonstrated the efficacy of lockdown measures was conducted jointly by researchers from nine institutions — one in the UK, three in China, and five in the US.

5. Get Smart: How To Find The Next Growth Stock – Chin Hui Leong

We love business stories. A great tale can help you learn more about a business than you can ever hope to learn from a textbook.

The best part is…

…the story which you are about to hear actually happened.

What we are about to share is not some made-up story to make a point about investing. It’s a real-life story about innovation and failure. With that in mind, let’s get started.

Over a decade ago, a CEO stood at the stage, ready to reveal his company’s next exciting product. The anticipation was high for a huge reveal. The atmosphere was electric. The hype was in the air.

…and then, the moment finally arrived.

The CEO unveiled what he called a “revolutionary and magical” product. In fact, he was so confident that he declared the company’s new product as being five years ahead of other similar products, instantly pulling the shade over all its competitors. The statement was nothing short of bold, to say the least.

Now, to his credit, the company followed up by launching two models of the product within six months. The initial sales were promising. But with Christmas around the corner, the company blinked. Less than three months after the product launch, it decided to completely eliminate one of its product models.

If that wasn’t embarrassing enough, the company cut the price of the remaining model by 33%. Predictably, the customers that bought earlier were incensed. With his tail between his legs, the CEO offered to provide a rebate to soothe the feelings of the early buyers of its product. But the damage had already been done…

We are going to pause for a moment here to let you take in all that you have read so far.

The hype, the reveal, the promise, the fleeting initial success, and the bitter disappointment that followed…

Now, with all that in mind, here’s the question for you…

Given all that you know, would you, dear reader, be willing to back this company’s “revolutionary and magical” product for the next decade?

6. What Happened to Gold? – Michael Batnick

If you went into a laboratory to build a gold price optimizer, you would want a couple of things.

• A falling dollar
• Rising inflation expectations
• Money printing
• Central bank balance sheets expanding
• Fiscal deficits increasing Political turmoil

All of these things were in place over the last few months, and yet gold has done the opposite of what you expected it to do. It’s down 9% over the last 6 months, and it’s 15% below its highs in August.

Gold could rally on any one of the items I mentioned. All six were in place at the same time, and it couldn’t get out of its own way.

7. Dreams All the Way Up – Packy McCormick

In the late 1860’s, when the mile record stood at 4:36, runners around the world started seriously attempting to break the four minute barrier. Three different Walters in a row traded the record, bringing it down below 4:20 by the mid 1880’s.

Between 1942 – 1945, two Swedes, Gundar Hägg and Arne Andersson, traded the record four times, driving it down from 4:06.2 to 4:01.4, a nearly 5-second improvement in just three years. And then, nothing. The record stood, unimproved, for the next nine years, until Roger Bannister stepped up to the starting line at Iffley Road sports ground in Oxford.

Bannister took two seconds off the record, completing his mile in 3:59.4 and becoming the first person in history to break the four-minute mile.

His record stood for 46 days. John Landy smashed it with a 3:58.0. A year later, three runners broke the 4-minute mile in the same race, and today, over 1,500 people have run a competitive mile in under four minutes. Hicham El Guerrouj holds the world record with a 3:43.13 that he ran in 1999.

The moral of the story here is that there wasn’t necessarily anything physical keeping humans from breaking four minutes; it was mental. When people saw it could be done, they just kind of … did it. Bannister, through extraordinary performance, eliminated a mental barrier, and afterwards, other great but not all-time exceptional runners followed his lead.

In the public markets in the 2010s, the $1 trillion market cap was the four-minute mile. As someone who owned Apple stock and options earlier in the decade, I can tell you how frustrating it was that the stock seemed to trade at a discount (sub-10x P/E ratio) simply because it was so big, despite insane profitability and growth. $1 trillion felt like a restraining wall.

Then, on August 2, 2018, an extraordinary company broke another mental barrier, when Apple became the first US company to crack the $1 trillion market cap mark.

What happened next wasn’t quite the immediate flood that Bannister unleashed, but within 16 months, by January 2020, three more companies — Microsoft, then Amazon, then Google — had broken $1 trillion. FAAMG had been undervalued across the board. Since Apple couldn’t break $1 trillion for psychological reasons, and it was clear that the other four weren’t as valuable as Apple, they had to be worth some discount to Apple’s artificially low market cap.

Apple took the governor off, and today, after a wild, tech-friendly pandemic and zero interest rate policy (ZIRP) drove stocks higher, the FAAMG market caps are:

• Apple: $2.273 trillion
• Microsoft: $1.848 trillion
• Amazon: $1.651 trillion
• Google: $1.415 trillion
• Facebook: $770 billion

If certain parts of the market feel bubbly, these companies don’t. They’re category-defining companies that continue to grow and innovate at a faster clip than megacaps ever have before, and they trade at very reasonable NTM EV/EBITDA multiples: 

• Apple: 22.0x
• Microsoft: 24.8x
• Amazon: 22.4x
• Google: 15.4x
• Facebook: 13.1x

That’s not bubbly…

…Here’s my logic: FAAMG stocks seem to be reasonably priced and good anchors off of which everything else is pegged. FAAMG (particularly Amazon and FB) market caps have actually grown faster than startup and non-FAAMG public tech valuations. Startup and non-FAAMG valuation growth is just starting to catch up to FAAMG growth over the past year.

Startups and smaller cap tech companies are being valued based on a probability that they can become as big as the FAAMG companies (or the biggest companies in their verticals), and even at the same probability, they should be worth 5-15x as much as they were worth a decade ago, because the ceiling has risen that much.

In other words, if you think that FAAMG are reasonably valued, and you think that the probability of newer companies coming in and eventually growing as big as the biggest tech companies is about the same as it was a decade ago, startups and smaller cap tech companies are actually fairly valued or even undervalued today…

…Shopify’s relationship with Amazon is the textbook example of P/FAAMG valuation.

Since going public in May 2015, Shopify’s stock is up over 5,000%. It’s currently trading at a 60x NTM EV / Revenue multiple and a 395.7x NTM PE ratio. Those are both very high numbers if you’re valuing Shopify based on the fundamentals, and indeed, Shopify has felt expensive at almost every point on its meteoric rise since late 2018.

Breaking apart SHOP’s valuation that way, there are two factors: how much has Amazon grown, and how much has the probability that Shopify becomes as big as Amazon changed? 

• Amazon Market Cap. Over the past five years, Amazon has grown its market cap 6.7x, from $245 billion to $1.65 trillion.
• Probability SHOP Becomes AMZN. The implied probability that Shopify becomes Amazon, based on their relative market caps, has increased from 0.68% to 10.76%, not taking into account the fact that Amazon is likely to continue to get bigger as SHOP catches up. 

Let’s assume Amazon’s future growth and the discount rate come out in the wash, which is conservative, and we’re left with an ~11% chance that Shopify becomes as big as Amazon. If you believe that Amazon is fairly valued, and that an 11% chance of Shopify becoming Amazon is reasonable, then Shopify’s market cap isn’t as crazy as it seems from looking only at traditional valuation metrics.

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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, Amazon, Apple, Facebook, Microsoft, and Shopify. Holdings are subject to change at any time.

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 21 February 2021:

1. 12 Things I Remind Myself When Markets Go Crazy – Ben Carlson

1. There is no such thing as a normal market. Uncertainty is the only constant when investing. Get used to it.

2. The most effective hedge is not necessarily an investment strategy. The best hedge against wild short-term moves in the markets is a long time horizon.

3. Your gains will be incinerated at some point. Investing in risk assets means occasionally seeing your gains evaporate before your eyes. I don’t know why and I don’t know when but at some point a large portion of my portfolio will fall in value. That’s how this works.

4. You still have a lot of time left. I’m still young(ish) with (hopefully) a number of decades ahead of me to save and invest. That means I’m going to experience multiple crashes, recessions, bull markets, manias, panics and everything in-between in the years ahead.

The current cycle won’t last forever just like the last one or the next one.

5. Know yourself. One of the biggest mistakes you can make as an investor is confusing your risk profile and time horizon with someone else’s. Understanding how markets generally work is important but understanding yourself is the key to successful investing over the long haul.

6. There’s nothing wrong with using a “dumb” strategy. Buy and hold is one of the dumbest investment strategies ever…that also happens to have the highest probability of success for the vast majority of investors.

There’s no shame in keeping things simple.

7. The crowd is usually right. Being contrarian will always make you feel like you’re smarter than everyone else, but the crowd is right more often than it’s wrong when it comes to the markets. Yes, things can get overcrowded at times but being a contrarian 100% of the time will lead you to be wrong far more often than you’re right.

2. The Beginning of the End –  Dan Teran

Some view third party food delivery operators, such as DoorDash, UberEats, and Grubhub, as heroes of the pandemic, a lifeline to restaurants, creators of employment for masses of essential workers that are responsible for slowing the spread of the virus by keeping diners safely in their homes.

Others view these firms as unscrupulous predators, draining profits from independent restaurants while undercompensating and mistreating delivery workers, all to satisfy the appetites of venture capital investors who have gambled billions of dollars on a business model that may never generate more cash than it has consumed…

…While the pandemic has driven unprecedented demand and introduced new narratives, the facts remain largely unchanged – the third party delivery industry is bad for independent restaurants, bad for delivery workers, and serves customers who are indifferent so long as their food arrives. The pandemic has brought these harsh truths irreversibly into the light, and it is for this reason that we will look back on this year not as one of good fortune for third party delivery, but as the beginning of the end…

…The case for the downfall of third party delivery begins and ends with the business model. Peter Drucker refers to a business model as “assumptions about what a company gets paid for.” Today’s third party delivery operators make the following assumption:

Restaurants will pay 30% of revenue for new customers, serviced by a third party delivery network.

This sounds reasonable. A few extra meals a night to new customers would better utilize existing resources and make the restaurant more profitable. A nice story, but not true.

While sales representatives from DoorDash and UberEats tell restaurateurs they are paying for new customers, in reality they know they will also be charged 30% to service existing and repeat customers, too. Industry data first shared with Expedite suggests that more than half of the orders placed on third party delivery platforms today are from repeat customers.

While third party delivery has always been a bad deal for restaurants, delivery did not represent a significant share of most restaurants business prior to 2020, and so the damage to a restaurant’s bottom line was obscured. The pandemic has brought an inconvenient truth into focus: third party delivery will kill your business if you let it, and third party delivery operators do not care.

How could third party delivery kill your business while bringing customers in the door? The model below shows a P&L for a restaurant that does ~$1M in sales annually at a 15% EBITDA margin, this would be considered very good by any standards. As you can see at the top, as third party delivery takes over more of the business, the business becomes incrementally worse. In this case, third party delivery begins to kill the business as soon as they reach 50% of revenue––sooner if you want to draw a salary, repair equipment, or pay back investors.

During the pandemic, many restaurants have gone from doing ~20% of their business through third party delivery platforms to ~80%, and watched their income statements turn from black to red, as fees ate their business alive. The message from third-party operators? Too bad.

3. SaaS Stocks Prove to Be Winners as Business World Moves to the Cloud – Chin Hui Leong

Before cloud computing arrived, traditional enterprise software was hard to deploy and costly to maintain.

Applications had to be installed by location. To do that, companies had to invest heavily in IT infrastructure, networks and software licenses. The implementation was also complex and could take as much as 18 months, according to an example cited by the Harvard Business Review.

And that’s not all.

There is also the high cost of maintaining the on-premise system. Enterprises had to hire teams of IT staff and consultants to integrate, support, and upgrade the on-premise applications.

Enter Marc Benioff, the founder and CEO of Salesforce (NYSE: CRM).

In 1999, Benioff founded Salesforce based on two big ideas: software should be delivered over the internet, and the service will be subscription-based.

Salesforce’s software is delivered over the internet, making its service easier to deploy and scale. The company’s subscription model removed most of the upfront cost associated with the traditional way of software deployment.

Armed with these advantages, Salesforce set its sights on the customer relationship management (CRM) market, where the problems associated with traditional enterprise software were the most acute.

The lower installation cost also allowed the company to target small and medium businesses. From there, Salesforce would gradually move upstream to take on larger enterprises.

And the rest, as they say, is history.

With an annual revenue base of over US$20 billion today, Salesforce is valued at close to US$220 billion.

Investors during the company’s IPO in 2004 would have made close to 90 times their original investment.

As Salesforce grew, the broader SaaS industry also came into its own.

4. What Your Data Team Is Using: The Analytics Stack – Justin Gage

The goal of any analytics stack is to be able to answer questions about the business with data. Those questions can be simple:

1. How many active users do we have?
2. What was our recurring revenue last month?
3. Did we hit our goal for sales leads this quarter?

But they can also be complex and bespoke:

1. What behavior in a user’s first day indicates they’re likely to sign up for a paid plan?
2. What’s our net dollar retention for customers with more than 50 employees?
3. Which paid marketing channel has been most effective over the past 7 days?

Answering these questions requires a whole stack of tools and instrumentation to make sure the right data is in place. You can think of the end product of a great analytics stack as a nicely formatted, useful data warehouse full of tables like “user_acquisition_facts” that make answering the above questions as simple as a basic SQL query. \

But the road to getting there is unpaved and treacherous. The actual data you need is all over the place, siloed in different tools with different interfaces. It’s dirty, and needs reformatting and cleaning. It’s constantly changing, and needs maintenance, care, and thoughtful monitoring. The analytics stack and its associated work is all about getting that data in the format and location you need it.

The basics:

1. Where data comes from: production data stores, instrumentation, SaaS tools, and public data
2. Where data goes: managed data warehouses and homegrown storage
3. How data moves around: ETL tools, SaaS connectors, and streaming
4. How data gets ready: modeling, testing, and documentation
5. How data gets used: charting, SQL clients, sharing

5. Stop Stressing About Inflation – Barry Ritholtz

Inflation occurs when one or more factors combine to drive prices higher. Often, wage pressures raise prices for good and services, filtering into the general economy (1960s). Sometimes, the combination of a weakening dollar and rising commodity prices send input costs higher, which kicks off an inflationary spiral (1970s). Third, there are times when the cost of capital becomes so cheap it sends anything priced in dollars or debt off into an upwards spiral of (2000s).

But Inflation is not inevitable. There are numerous countervailing forces that have been at work for much of the past 50 years. The three big Deflation drivers: 1) Technology, which creates massive economies of scale, especially in digital products (e.g., Software); 2) Robotics/Automation, which efficiently create more physical goods at lower prices; and 3) Globalization and Labor Arbitrage, which sends work to lower cost regions, making goods and services less expensive.

Put into this context, Inflation is periodic, driven by specific events; Deflation is consistent, the background state of the modern economy. To fully understand this requires grasping how scarcity and abundance act as the drivers of the price of labor and goods. My suspicion is many economists who came of age during earlier eras of inflation fail to discern how the world has changed since.

Consider what this combination implies: the dominant modern world “flation” tends to be biased more towards falling than rising prices. We live in an era of Deflation, punctuated by occasional spasms of Inflation. This suggests that fears of inflation are likely to be more overstated, even with low monetary rates and high fiscal stimulus.

The net result: Forecasters have been over-estimating inflation by more than a little and hyper-inflation by more than a lot. Indeed, the Fed and most economists got this wrong in the 2000s, radically under-estimating how the novelty of ultra-low rates, high employment, and weak dollar caused prices to go higher.

Inflation was robust until the Great Financial Crisis came along; in its aftermath, inflation was (despite all too many forecasts) a no show. Persistent under-employment led to a lot of slack in the labor force, even as the US economy saw unemployment fall to below the 4% levels.

Perhaps this explains why so many economists forecast a post GFC inflation that never arrived. Post Covid, we should see hiring and lots of pent up demand and a transitory bout of modest inflation. But even that is likely to be much less of a threat than it has been in prior decades.

But not to the old school economists. Perhaps they need to reconfigure their models of what causes inflation and deflation. Being wrong for the past two decades should provide the motivation to update those models. Unfortunately, we see little evidence they are interested in changing their fundamental concept of what drives prices higher.

6. Twitter thread on what it’s like working for Jeff Bezos and Mark Zuckerberg – Dan Rose

People often ask me to compare working for Bezos vs Zuck. I worked with Mark much more closely for much longer, but I did work directly with Jeff in my last 2 years at Amazon incubating the Kindle. Here are some thoughts on similarities that make them both generational leaders:..

…They both lived in the future and saw around corners, always thinking years/decades ahead. And at the same time, they were both obsessive over the tiniest product and design details. They could go from 30,000 feet to 3 feet in a split second.

In the best tech companies, product defines strategy and culture. Jeff and Mark were both product CEOs first and foremost (though Jeff is arguably more commercial). Amazon and Facebook’s products are also an embodiment of Jeff and Mark’s individual personalities and values.

Neither of them would ever dwell on success. Every time I took a hill and looked up to celebrate, Jeff or Mark had already moved on to the next hill. They set unrealistic goals and were insanely intense, disciplined, hard working and hard driving…

…The skill set required to start a company is insanely different than being CEO of a mega corporation. Scaling of this magnitude requires tireless commitment, crazy focus, thick skin, unbridled ambition. You have to be a learning machine, constantly growing and pushing yourself….

…The cultures they built are also very different. Amzn is more siloed/secretive, while FB is radically open/transparent. There are pros and cons to each (which I will cover in a future post), but culture at both companies runs deep and is rooted in the values of the founder.

7. Congress Wants to Talk About GameStop – Matt Levine

Tenev also sheds some light on how Robinhood got a surprising margin call from its clearinghouse, and how it negotiated it down:

At approximately 5:11 a.m. EST on January 28, the NSCC sent Robinhood Securities an automated notice stating that Robinhood Securities had a deposit deficit of approximately $3 billion. That deficit included a substantial increase in Robinhood Securities’s VaR based deposit requirement to nearly $1.3 billion (up from $696 million), along with an “excess capital premium charge” of over $2.2 billion. SEC rules prescribe the amount of regulatory net capital that Robinhood Securities must have, and on January 28 the amount of the NSCC VaR charge exceeded the amount of net capital at Robinhood Securities, including the excess net capital maintained by the firm. Under NSCC rules, this triggered a special assessment—the “excess capital premium charge.” In total, the NSCC automated notice indicated that Robinhood Securities owed NSCC a total clearing fund deposit of approximately $3.7 billion. Robinhood Securities had approximately $696 million already on deposit with NSCC, so the net amount due was approximately $3 billion.

Between 6:30 and 7:30 am EST, the Robinhood Securities operations team made the decision to impose trading restrictions on GameStop and other securities. In conversations with NSCC staff early that morning, Robinhood Securities notified the NSCC of its intention to implement these restrictions and also informed the NSCC of the margin restrictions that had already been imposed. NSCC initially notified Robinhood Securities that it had reduced the excess capital premium charge by more than half. Then, shortly after 9:00 am EST, NSCC informed Robinhood Securities that the excess capital premium charge had been waived entirely for that day and the net deposit requirement was approximately $1.4 billion, nearly ten times the amount required just days earlier on January 25. Robinhood Securities then deposited approximately $737 million with the NSCC that, when added to the $696 million already on deposit, met the revised deposit requirement for that day.

Basically Robinhood got a normal margin call—its “VaR based deposit requirement”—for about $1.3 billion, because its customers were trading a lot of stocks that were very volatile. This margin call exceeded Robinhood’s regulatory capital, which under the clearinghouse’s rules triggers another, even bigger margin call. You can see why that would be a problem! We have talked about Robinhood’s clearinghouse margin call before, and we have discussed the destabilizing potential of these margin calls: As things get scary and volatile, clearinghouses have a lot of unchecked discretion to demand huge piles of money from brokers at exactly the worst moment for those brokers. Here, precisely because Robinhood was so thinly capitalized, its clearinghouse had the right to demand even more money from Robinhood, exacerbating the risk of disaster. And then it just waived the whole extra $2.2 billion charge and said “ehh never mind you’re fine,” because Robinhood agreed to stop trading so much of the volatile stocks.

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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 Amazon, Facebook, and Salesforce. Holdings are subject to change at any time.

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 07 February 2021:

1. 7 Life Lessons from a Guy Who Can’t Move Anything but His Face – Jon Morrow

The only parts of my body I can move are my eyes and lips. My hands, feet, arms, and legs, are almost totally paralyzed, managing the occasional twitch and nothing more.

And yet… I have an amazing life.

Using speech recognition technology, I’ve written articles read by more than 5 million people. I’ve also built several online magazines that have, shockingly, made me a millionaire.

“This can’t be real,” you say. “You did all this, and you can’t freaking move?”

Hard to believe, I know, but it’s true. I do it all from home, sitting in my wheelchair, speaking into a microphone.

I’ve traveled a good bit too. I’ve lived in San Diego, Miami, Austin, and even Mazatlan, Mexico…

…During my 34 years, I’ve had pneumonia 16 times, recovered from more than 50 broken bones, and spent literally years of my life in hospitals and doctor’s offices.

But I’m still here. Not only have I survived my condition, but I’ve built a life most people only dream about.

And starting today, I want to talk about how…

…At some point or another, life punches everyone in the face.

The punch may be hard, or it may be soft, but it’s definitely coming, and your success or failure is largely determined by the answer to a single question: how well can you take the punch?

Do you roll around on the ground, weeping and moaning? Do you rock back on your heels but then keep going? Or have you been punched so many times already you don’t even notice?

Personally, I’m a living example of the last one. If you want to know what it’s like to live with a severe disability, just imagine that every morning six big guys sneak into your room and beat the hell out of you. Most days, the beating isn’t so bad, and you can limp through your day. Every now and again though, they keep punching and kicking you until you’re bleeding and broken, lose consciousness, and wake up in the hospital breathing through a tube.

That’s the best way I know to describe my life. Since the day I was born, muscular dystrophy has given me a daily beating.

The upside?

It’s made me incredibly strong. I can take any punch life throws at me without even breaking stride.

Lost $100,000 on a business deal? No biggie. Key employee quits? Yawn. Getting audited by the IRS? Wake me up when something important happens. Next to fusing my spinal vertebrae together, shattering my legs, or nearly drowning in my own mucus, none of it is honestly that big of a deal.

This, my friends, is the advantage of pain. The more you experience, the more you can handle in the future, and the less it knocks you off your game.

The way you respond to that pain is another matter, which we’ll talk about in a moment. For now, the point I want to make is this: if you feel depressed and weak, unable to cope with the difficulties of life, it’s not because you are a flawed human being. It’s because you were unprepared for the pain you are experiencing. The problem, ironically, is that you haven’t suffered enough.

2. Unfortunate Investing Traits –  Morgan Housel

Napoleon’s definition of a military genius was “The man who can do the average thing when everyone else around him is losing his mind.”

What he meant, I think, is that most wars are lost rather than won. The final outcome is driven more by one side’s blunder than the other’s brilliance. One screw up can overwhelm a dozen smart decisions that preceded it, so even if strategy is crucial the expert is rarely preoccupied asking, “How can I be great?” The obsession is, “How can I ensure I’m at least average and never a disaster during the most important moments?”

And isn’t investing the same?…

…A few unfortunate traits that commonly prevent investors from doing the average thing:…

…An ignorance of what I’d call “normal disasters.”

If markets never crashed they wouldn’t be risky. If they weren’t risky they’d get very expensive as all potential returns were wrung out. When markets are expensive they’re fragile. And when they’re fragile they crash.

If you accept that logic – and I think it’s the punchline of all market history – you realize that huge market declines characterized as surprising and shocking and unexpected are in fact foreseeable. The timing isn’t predictable but the occurrence is inevitable. If you get caught in a period when you lose a third of your money and it stays that way for a year or two, you have not been hit by a 100-year storm; you’ve just experienced the base rate of investing, par for the course. That’s why they’re normal disasters.

Same in business. Take a group of 100 companies from nearly any industry. The odds that no more than half will still be around a generation from now are very high, not because they merged but because they went out of business. Competition is relentless and most competitive advantages die. It’s a disaster, but it’s normal and everyone should plan accordingly.

If you’re flying on an airplane, normal means everything is smooth and calm. Investing is closer to whitewater rafting. You’re going to get wet and tossed around, with a decent chance of minor injury. It’s kind of the point. Many investing blunders occur when people expect “normal” to be a period when nothing goes wrong when in fact it’s normal for things to constantly be breaking and falling apart.

It’s hard to do the average thing if you can’t accept that not only is it normal for things to break, but even frequent breakages don’t prevent great long-term growth.

3. Amazon’s Cloud King: Inside the World of Andy Jassy – Kevin McLaughlin

Mr. Jassy was not an obvious candidate to start a business that has made Amazon, in effect, a landlord for a chunk of the internet. A graduate of Harvard University—where he was an advertising manager of the Crimson, the student newspaper—Mr. Jassy is not an engineer. His passions, according to a person close to AWS, include sports, pop culture and music. As of a few years ago, he had a collection of several thousand CDs, a former colleague said. Last year, he joined the ownership group for a new, as-yet-unnamed National Hockey League franchise for Seattle.

After joining Amazon in 1997, the year of its initial public offering, he caught Mr. Bezos’ eye by writing the business plan for a new Amazon business—selling music CDs online—arguing that it was the logical next step for Amazon after book selling, another former colleague said. He later became general manager of the group.

In 2003, Mr. Bezos picked Mr. Jassy to be his technical assistant, a role that entailed shadowing the Amazon CEO in all of his weekly meetings and acting as a kind of chief of staff. While previous technical assistants had languished under the demanding Amazon leader, Messrs. Jassy and Bezos became close friends during that time and Mr. Jassy remains one of Mr. Bezos’ trusted advisers (he is on the “S-team,” a group of about a dozen Amazon executives in Mr. Bezos’ inner circle).

Mr. Jassy’s biggest break came when Mr. Bezos and Rick Dalzell, Amazon’s chief information officer at the time, tapped him to lead what became AWS. The business was an outgrowth of earlier technical work Amazon had done to let independent retailers sell goods through Amazon’s e-commerce systems.

Gradually, Mr. Jassy and others came to realize Amazon could take over the management of even more basic computing chores for outside companies, such as storage and databases, by running them inside Amazon data centers. Customers no longer had to worry about purchasing and maintaining the hardware and software needed for their applications.

The launch of its first services in 2006 coincided with the rise of a new generation of internet startups, many of them propelled by the emergence of smartphones as a platform for applications. Mr. Jassy was well attuned to the needs of these startups, most of which were happy to let Amazon run their technical infrastructure while they focused on more meaningful innovations.

“He’s able to think about things that are very complex and boil them down into a few clear action items that really matter,” said Mr. Dalzell, who left Amazon in 2007 and was one of Mr. Jassy’s mentors. “He has a unique ability to get to the essence of what’s important to customers and put that at the forefront.”

In meetings, Mr. Jassy follows Mr. Bezos’ approach of letting others speak first and then weighing in later with his feedback, a former AWS employee said. He doesn’t hold back if he feels their work isn’t up to par, but he has a softer touch than Mr. Bezos—known for his scorching criticisms—favoring “humor and gentle cajoling” to get what he wants, the person said.

Even though Mr. Jassy was the top dog at AWS, he remained mostly invisible outside Amazon. He allowed the division’s chief technology officer, Werner Vogels, a Dutch computer scientist with a knack for public speaking, to become the face of the new business, while he focused on products.

For years, Mr. Jassy was opposed to Amazon disclosing the division’s financial results, because he didn’t want competitors knowing how fast AWS was growing, according to a former employee. The parent company finally began releasing the AWS numbers in April 2015; under accounting rules, the business got so large the company could no longer conceal it.

“Andy wanted to keep them guessing,” the former employee said. “If they knew what Andy knew, they likely would have invested more earlier.”

4. How David Beats Goliath in Real Life – Josh Brown

On Wall Street, David doesn’t beat Goliath in real life – especially in a battle of brute force and liquidity.

The hedge fund industry manages $3 trillion. Private equity and real estate and venture money is even bigger than that. Funds are backed by banks and brokerages which are backed by the Federal Reserve. Get a grip on reality. This complex doesn’t lose an arms race. The money is infinite. You can’t squeeze it. It will crush you. The louder and more bellicose you are on the internet, the tighter it will squeeze back, until your head has literally popped off…

…So how does David win? David wins by avoiding Goliath and becoming a stronger, smarter, healthier, happier version of himself or herself. How?

David invests capital, time and energy in the furtherance of his or her career, not on memes and internet chatroom bullshit with other Davids…

…David focuses on the main thing under his control – how much he saves versus spends – and then allocates as much as possible to an investment portfolio….

…David diversifies broadly, and has the humility to accept the inherent unknowability of the future…

…Easier said than done. Warren Buffett once talked about the Paradox of Dumb Money. He said that the moment it realizes that it is the dumb money (and acts accordingly), it ceases to be the dumb money. Accepting your limitations isn’t the same as admitting defeat. It’s how you succeed. Because you stop playing the wrong game and start playing the right one.

5. Twitter thread on the “plumbing” that goes on behind the scenes at financial market brokerages – Compound248

Dear Media, what’s happening with RobinHood? A quick primer. This is a “plumbing” issue. It is esoteric, even for those on Wall Street. A very long thread on how the toilet is clogged. Read on

First: RH was not the only brokerage to restrict buying in $GME et al. Much of the below applies to many brokerages. I’m going to use “RH” in my writing for simplicity and because it’s the most prominent, but it’s not fair to call this a RobinHood issue, per se.

The restrictions impacted retail AND institutional players – many institutional prime brokers (“PBs”) did the same thing to their hedge fund clients. Why? Surely PBs can’t be trying to punish their own clients just to benefit Citadel. There must be something else happening… Let’s talk plumbing.

Most RH clients (& all HFs) use “margin” accounts, not “cash” accounts. RH’s sign up process nudges new customers into margin accounts by default. Whether RH should do that is worthy of discussion another day. This is a story of lending and capital.

Margin accounts are Wall Street’s way of denoting lending accounts. Practically speaking, in margin accounts, the client does NOT own *any* securities. Rather, margin account holders “own” a promise from their broker. Yay.

When an RH’er buys $GME, a whole bunch of things happen behind the scenes, all of which are the ugly plumbing of Wall Street.

6. Netflix at 200 Million: Is the Streaming Race Over? – Tien Tzuo

Netflix recently announced that it has over 200 million global subscribers, an impressive milestone. But more importantly, the company is “very close” to being free cash flow positive, despite previously forecasting a loss of up to $1 billion on the year. As Barron’s put it, “the big news was the revelation that Netflix is no longer a money pit. It’s now well on the way to becoming a cash machine.”

This is the same publication, I might add, that wrote an article called “Netflix Shares Could Dive to $45” in 2016. “Investors continue to overlook increasing cash burn and relatively modest income,” warned Barron’s. The stock is now trading at around $563.

Lots of people felt the same way back then. Do some googling and you’ll find plenty of articles with headlines like: “It’s Official: Netflix, Inc. (NFLX) Stock’s Run is OVER,” (Investor Place, 2016). Here’s another quote from Movie City News: “Netflix will be purchased by 2020… because the content issues will overwhelm their business, not too much unlike the way Netflix overwhelmed Blockbuster and the remaining mom & pop DVD/video stores.”

The bear argument against Netflix has always been that it will never be able to repay the huge amount of debt it has accrued ($16 billion at last count) to finance all those thousands of hours of content….

…That argument has now been settled. Not only does Netflix now have a significant competitive moat with attendant pricing leverage (get ready for your monthly rate to go up this year), but it’s also planning on an initial $500 million debt payment, as well as stock buybacks.

Of course, this will come as no surprise to Subscribed readers. As I noted in the book, borrowing heavily to invest in new content was simply Netflix using its recurring revenue as a competitive weapon. Unlike traditional movie production shops, Netflix starts every year with known, predictable revenue. It just made sense to use leverage, similar to a mortgage on a house, to invest in attracting new subscribers, especially if it also extended the lifetime value of their existing subscribers. That’s the beauty of a smartly run subscription model.

So now that Netflix has proven the naysayers wrong, is it all over? Has the streaming race been won? I don’t think so, not by a long shot. To paraphrase a line from The Social Network, “Two hundred million is a pretty good number. Do you know what’s an even better number? Two billion.”

7. It Feels Like the Game is Rigged – Michael Batnick

There are about a million and one different angles to consider when talking about the big story in the stock market.

The most important thing that’s happening is the deterioration of faith that people have in financial institutions. Once trust is lost, it’s almost impossible to gain it back. Memes aside, this is no laughing matter…

…You’re right, Jimmy. Insiders have advantages. I understand that it feels like parts of the system are broken. I understand that it feels unfair. I understand that it feels like the odds are stacked against you.

But I’m asking you to please reconsider.

I’m thrilled for the people that got in early and made boatloads of money. But the people who are getting in late will be left holding the bag. And when they do, they will go looking for people to blame. The “system is rigged” will be shouted out when what will really happen is the market’s inherent rejection of rewarding get rich quick strategies. If you play their game, and this is their game, you will not win. But Jimmy, if you take a long-term view, then you almost can’t lose.

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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 Amazon and Netflix. Holdings are subject to change at any time.

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 31 January 2021:

1. Why It’s Usually Crazier Than You Expect – Morgan Housel

I want to try to explain why Gamestop went up 100-fold in the last year and why Sears never recovered. They have to do with the same force in opposite directions. It’s a force that can explain a lot of baffling trends lately, and it’s so easy to underestimate and overlook…

…Find a feedback loop and you will find people who underestimate how crazy prices can get, how famous a person can become, how hard it can be to change people’s minds, how irreparable a reputation can be, and how tiny events can compound into something huge.

They take small trends and turn them into big trends with unforeseen momentum. And they happen in every field.

If you become a good reader as a child, reading is fun. When reading is fun you do it more. When you do it more you become a better reader – on and on. The opposite is true: delayed reading ability can make reading feel like work, which can cause kids to read less, which delays reading comprehension even more.

When it doesn’t rain, there’s less evaporation, which makes the air drier, which reduces rainfall, on and on.

And, of course, feedback loops can do astounding things in business and investing…

…GameStop – whose stock is up 100-fold in the last year as a reddit message board coordinates a buying spree to hurt short sellers – is experiencing a similar thing.

The reddit campaign to push its stock up started two months ago. At first shares rose a little. That caught people’s attention, those people bought, which pushed prices up more, which caught more people’s attention – on and on – until this week when virtually every investor in America is paying attention to GameStop because it’s risen so high, and it’s rising high because every investor in America is paying attention to it. I have three friends who bought a few shares of GameStop this week “to see what happens.” They’re only doing that because the price went up. And they’re making the price go up.

Attention is hard to obtain. But once it’s achieved it can take on a life of its own, becoming self-sustaining and able to morph into something you never imagined.

2. Keith Gill Drove the GameStop Reddit Mania. He Talked to the Journal. –  Julia-Ambra Verlaine and Gunjan Banerji

The investor who helped direct the world’s attention to GameStop, leading a horde of online followers in a bizarre market rally that made and lost fortunes from one day to the next, says he’s just a normal guy.

“I didn’t expect this,” said Keith Gill, 34 years old, known as “DeepF—ingValue” by fans on Reddit’s WallStreetBets forum and “Dada” by his 2-year-old daughter. He said he didn’t set out to draw the attention of Congress, the Federal Reserve, hedge funds, the media, trading platforms and hundreds of thousands of investors…

…Mr. Gill began investing in GameStop around June 2019, he said, when it was hovering around $5 a share. Earlier that year, the game retailer was hunting for its fifth chief executive in a little over 12 months. Mr. Gill kept buying. Although he never played much besides Super Mario or Donkey Kong, he saw potential for the struggling retailer to reinvigorate itself by attracting new customers with the latest videogame consoles.

“People were doing a quick take, saying GameStop was the next Blockbuster, ” he said, a chain caught in a retail decline. “It appeared many folks just weren’t digging in deeper. It was a gross misclassification of the opportunity.”

3. Yes, a Stock Can Have Short Interest Over 100% — Here’s How – Dan Caplinger

At first glance, it might seem like you could never have more than 100% of a company’s shares sold short. Once all the shares have been borrowed, you might think there wouldn’t be any more for short-sellers to get.

Indeed, there are U.S. Securities and Exchange Commission regulations designed to prevent what’s known as “naked” short selling. With a naked short sale, the broker allows the customer to do a short-sale transaction without actually arranging to borrow the shares beforehand. This can lead to market disruptions, and while there are some exceptions to the regulations, most brokers stop regular retail customers from selling stock short if they can’t obtain shares to borrow.

However, even without a naked short sale, it’s theoretically possible for short interest to exceed 100%. The reason has to do with the nature of the short-sale transaction itself.

As an example, take a situation involving four investors. Annie owns shares of GameStop, and Annie and her broker have an agreement that allows the broker to lend Annie’s shares to short-sellers. It lends them to Bob, who subsequently sells those borrowed shares short in hopes that GameStop’s share price will fall.

An investor named Chris ends up buying those borrowed shares from Bob. However, Chris has no way of knowing that those shares have been borrowed from Annie. To Chris, they’re just like any other shares.

More importantly, if Chris has the same kind of agreement, then Chris’s broker can lend out those shares to yet another investor. Diane, another GameStop bear, can borrow those shares and sell them short.

In this example, the same shares end up getting borrowed and sold twice. The short interest volume these transactions add to the total is twice the number of shares actually involved. You can therefore see that if this happened throughout the market, total short interest would eventually exceed the number of shares outstanding and approach 200%.

This still might seem impossible, and in a sense, it is. But part of the answer lies in the fact that there are investors that don’t currently possess actual shares of GameStop but who have the same economic interest as shareholders. They have the right to get back the shares they lent at any time. When you add together the actual shares plus these “synthetic” positions in the stock, the short interest can’t exceed 100% of that larger total.

4. A Look at Compounders through the Lens of “The Intelligent Investor” – Robert Vinall

I expect everyone has a slightly different understanding of what the term “compounder” means, but generally it describes a company that can grow or compound earnings by reinvesting capital (not by raising external capital). Compounders are likely to share some or all of the following characteristics.

1. High returns on capital;
2. Profitable (on an underlying, not necessarily reported basis);
3. Large Total Addressable Markets (“TAMs”);
4. A growing competitive advantage;
5. A strong culture characterised by humility and adaptability (essential to overcome growth pains);
6. A founder who likely embodies these values;
7. And predictable, better still, recurring revenues.

This is not a definitive list, and different companies will have these qualities in different quantities, but it gives a sense of what I am driving towards. Google most certainly is a compounder; Deutsche Bank probably is not…

…Graham did not write, to my knowledge, about compounders, but he did write about what he termed “growth stocks”. He defined growth stocks as follows:

“A growth stock may be defined as one that has done this in the past and is expected to do so in the future.”

This description falls somewhat short of my definition of a compounder above; however, many of today’s compounders have certainly done well recently and look set to continue to do so in the future. I feel fairly sure that Graham would identify today’s compounders as growth companies. For the remainder of this memo, I will use the terms “compounders” and “growth companies” interchangeably, notwithstanding the obvious definitional differences.

Graham was a well-known sceptic of growth companies. In Chapter VI of “The Intelligent Investor”, Graham asks rhetorically why not simply buy the most promising-looking growth companies and let the cash roll in? Consider his response:

There are two catches to this simple idea. The first is that common stocks with good records and apparently good prospects sell at correspondingly high prices. The investor may be right in his judgment of their prospects and still not fare particularly well, merely because he has paid in full (and perhaps overpaid) for the expected prosperity. The second is that his judgment as to the future may prove wrong. Unusually rapid growth cannot keep up forever; when a company has already registered a brilliant expansion, its very increase in size makes a repetition of its achievement more difficult. At some point the growth curve flattens out, and in many cases turns downward.

Graham’s scepticism is routed in three main objections. First, few companies can sustain their growth, i.e., genuine growth companies are rare. Second, the analyst’s judgement about a company’s long-term prospects is often flawed, i.e., there are lots of false positives. Third, growth companies have high valuations, i.e., the positive long-term prospects are already priced in.

The conclusion that generations of value investors have drawn is that investing in growth companies is a mug’s game to be avoided at all costs. This is without question Graham’s opinion too; however what people miss is that his scepticism was clearly routed in the context in which he was investing. Based on the opportunity set he saw – and extensively documented in “The Intelligent Investor” – he thought the odds of successfully investing in growth companies were poor. This being the case, is it any wonder he was sceptical about doing so?

In my view, the lesson to be derived from “The Intelligent Investor” is not that investing in growth does not work, but that every generation of investors needs to figure out for itself what the odds of it working are. Graham’s approach offers an excellent framework to figure out just what those odds are.

5. Type I and Type II Charlatans – Ben Carlson

Pockets of the market are flirting with silly territory.

SPACs, IPOs, and electric vehicle companies are all sprouting up like weeds.

I’m not intelligent enough to sort through the winners and losers in these areas but the fact that there are currently winners means there will be a flood of losers to follow. That’s how these things work. When speculative investments are in demand, the supply ramps up to meet it.

And many of those losers will be pushed relentlessly by hucksters and charlatans who flock to rising markets like me to a new Tom Cruise movie.

Charlatans tend to flourish when some or all of the following characteristics are present:

• When there’s an “expert” with a good story
• When greed is abundant
• When capital becomes blind to risk
• When individuals begin taking their cues from the crowd
• When markets are rocking
• When innovation runs rampant…

…Type I charlatans are the visionaries who are more or less sincere but wind up ruining their investors anyway because they take their ideas to the extreme or fail to account for the unintended consequences of their ideas.

These false-positive charlatans are so passionate that it becomes difficult for their victims to see any downside. When you combine intellect, passion, and people in search of money and/or power, it’s easy to become blinded to potential risks.

And once a Type I charlatan gets a taste of success, it’s tough to pull in the reins when things go wrong.

Type II charlatans are the out and out fraudsters who blatantly set out to take people for all they’re worth. These hucksters are only interested in making as much money as possible and don’t care who gets hurt in the process.

These charlatans are false negatives because they lie to persuade you to part with your money. It’s difficult to see through this type of charlatan because they know exactly how to sell you. They understand human behavior and tell you exactly what you want to hear.

They move the goalposts and shift the blame when it appears they’re wrong and understand how to massage your ego to keep you in line.

Bernie Madoff is a type II.

Elizabeth Holmes likely started out as a type I and slowly morphed into a type II once she realized Theranos was never actually going to happen.

6. Twitter thread on mental models learnt from Tobi Luetke, Shopify’s CEO – George Mack

LUTKE LEARNING 1 – OPERATE ON CROCKERS LAW

Crocker is a Wikipedia editor who asked people to NEVER apologise about editing his pages.

He just wanted them to focus on making his pages BETTER.

He took 100% responsibility for his mental state. If he was offended, it’s his fault.

“Just give me the raw feedback without all the shit sandwich around it.” – Tobi 

“Feedback is a gift. It clearly is. It’s not meant to hurt. It’s meant to move things forward, to demystify something for you. I want frank feedback from everyone.” – Tobi

“If I’m insulted it’s because my brain made a decision, to implant in my memory and thoughts the idea of being insulted by that person…

I did that under my own volition. It was my own choice. My brain has assigned the power to the other person” – Tobi referencing Aurelius

LUTKE LEARNING 2 – ALWAYS BE A STUDENT TO FIRST PRINCIPLES

Tobi’s most consistent used mental model throughout his interviews is:

Global Maximum > Local Maximum

Local Maximum = Optimising a cog in the machine

Global Maximum = Optimising the machine itself

Tobi’s favorite example of FIRST PRINCIPLES is a Truck driver.

His truck was sat still for 8 HOURS on THANKSGIVING waiting for his cargo to be unloaded when he realized…

“Why not take the WHOLE trailer off the back of my ship rather than unloading + reloading each item?”

This Truck driver was called Malcolm McLean

His first principles approach created the SHIPPING CONTAINER

The results?

Global shipping costs went from $6 a tonne to $0.16 a tonne Exploding head

The most underrated entrepreneur of the last century AND the godfather of modern global trade.

7. Buried in Reddit, the Seeds of Melvin Capital’s Crisis – Michelle Celarier

For months, retail investors posting on a Reddit forum were broadcasting their intentions to take down a prominent, but reclusive, hedge fund called Melvin Capital — and doing so by buying call options on video game retailer GameStop, a stock in which Melvin had disclosed a big short bet…

…The effort to take down Melvin appears to have started late last year, and by mid-January, short sellers began noticing spikes in the price of GameStop. They suspected someone was covering — well-known short sellers Jim Chanos and Andrew Left were known to be short GameStop and had tweeted about the company.

But it wasn’t either one of those men who had earned the most ire of a popular Reddit forum, WallStreetBets, whose description reads, “like 4Chan found a Bloomberg Terminal.”

These retail investors had taken aim at Melvin, a fund headed by Gabriel Plotkin, a former portfolio manager with Steve Cohen’s SAC Capital. Cohen’s successor firm Point72 had more than $1 billion invested in Melvin’s fund, according to the Wall Street Journal.

About two months ago, a Reddit user called Stonksflyingup posted a video, with the title “GME Squeeze and the Demise of Melvin Capital” — with trial scenes from the miniseries “Chernobyl” superimposed with text asserting that “Melvin Capital got too greedy,” as well as an explanation of how a short squeeze can occur. The clip concluded with a photo of an explosion with the words “Melvin Capital” splashed across it. 

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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) and Shopify. Holdings are subject to change at any time.