SITALWeek #334

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, whales, and whatever else made me think last week.

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In today’s post: apple-picking drones; advertising privacy versus changing media preferences; an easier way to think about censorship and responsibility as media consumption rapidly evolves; methane leaks; singing whales; the interest rate pin pricks asset price bubbles; eventual converging of private and public market valuations; and much more below.

Stuff about Innovation and Technology
Produce PickerBots
Tevel is an Israel-based company building robotic technology for crop harvesting. The company claims to have apple-harvesting drone technology, comprising several autonomous flying drones – sporting robotic appendages with what appear to be octopus-like suckers on the ends – tethered to a central collection unit and capable of 24/7 operation. The drones can assess ripeness using machine vision, reach out to pick apples, and then deposit them according to various categorizations. The video of the drones in operation is futuristically mesmerizing. While the company claims the system will be cheaper than seasonal labor, pilot tests are still on the come. It appears they plan to rent the units out. Given the seasonality of harvesting, I imagine the robots could have different attachments for different crops and be moved around region to region. With slowing population growth and decreasing immigration in developed countries, these types of purpose-built robots are likely to proliferate across all industries.

Ad Dollars Chasing Consumers
After some extreme reactions, both positive and negative, to recent earnings reports from the US Internet giants, there seems to be some remaining confusion about whether it’s Apple’s privacy changes or evolving user behavior that are to blame for shifting tides in the global $1T+ advertising and ecommerce markets. There is no single explanation or villain; rather, it’s a complicated and ongoing evolution of many factors. While Apple’s privacy push is a disguised attempt to grab power and money, it’s still a welcome improvement in user rights and safety. There is also clearly an attention issue – people have more choices and limited time, so while the pie is still growing, it’s also shifting around between slices (e.g., TikTok and video streaming are gaining share at the expense of Meta's apps – see Spiraling Content Meets Maxed-Out Attention). Alphabet, Meta, and, increasingly, Amazon are reliant upon advertisers for profits, a revenue stream driven by attention and reaction. Advertisers want to be where their target audience is, and they want those people to either have a positive brand association or a call to action (such as buying something or signing up for a new service). Targeted ads have historically relied on a constellation of data, which has become increasingly invasive for users. This article in The Markup questions whether we are heading for a complete ban on behavioral advertising targeting, which does seem increasingly likely. This focus on user privacy continues to create a scarcity value for first-party data (the targeting data that apps have on users without requiring input from other sources, see Pursuit of Pivotal First-Party Data for more). Primary data is table stakes, and then layering on the audiences and growth in engagement/usage that advertisers are chasing is likely the winning formula for the next few years until we reach saturation and the pie stops growing. Meta in particular, whose stock caused a tidal wave in the investment market – declining nearly 30% since earnings were reported on February 2nd – is facing increasing competition from user-generated, professionally-produced, and gaming content proliferating across a multitude of apps. Consumers’ media attention is typically more fickle than their use of utility-like apps (e.g., Amazon and Google search – see Utility-Communication-Media Matrix in the final section of the linked whitepaper for more). I believe consumers ultimately gravitate towards quality content, both professional and amateur, as well as quality interactions, and advertisers will follow them wherever they go.

Databases Evolving
The database market has gone through quite a few evolutions this century. From the juggernaut relational databases of structured data, like Oracle and SQL, to the rise of warehouses of unstructured data, like Hadoop, there’s been a lot of change and growth. Ongoing extraction of massive amounts of data, growing by the minute, gave rise to an open-source tool called PrestoSQL from Facebook. Presto is a federated database, which means you can query the data where it sits rather than having to extract it. Two companies, Ahana and Starburst (the latter with backing from Salesforce), have commercialized PrestoDB (now called Trino, which is still open source) for enterprise use both on-prem and in the cloud. The CEO of Starburst explains to Next Platform: “As it turns out, extracting data from Salesforce for analytic purposes is one of the top use cases – if not the top use case – for Snowflake, and that means a ton of people are taking data out of their CRM and loading it into Snowflake just to run analytics. Well, what if you never had to do that? What if you could just query that directly and incorporate that in your analysis? ...This is data warehousing analytics without the data warehouse.” The only things I have ever been able to understand with certainty about the database market in the 20+ years I’ve watched it is that both the data and the ways to analyze them are always growing.

Between Cancel Culture and Anarchy
It’s been hard to avoid the media frenzy over Spotify and the Joe Rogan Experience (JRE) podcast. Despite the pages of ink and endless social media posts on the topic, this situation seems more straightforward than most people realize. First, anyone should be able to say what they want to, no speech should be banned (other than incitations to violence), and I support Joe Rogan talking to whoever he wants, and broadcasting it far and wide. Second, anyone should be able to disagree with speech and counter it with more speech if they want to. Third, it’s ok to believe those first two statements and still decide to not support a platform that is amplifying speech that you disagree with in order to sell ads or subscriptions. When people, and the platforms that enable them, are creating negative-sum or zero-sum content in order to maximize their profits, then you can choose to stop supporting the platform and switch to an alternative and still support free speech. These are all perfectly fine and nonconflicting beliefs to have, and when it comes to streaming audio, there is no shortage of good alternatives to Spotify.

The weaselly part of the JRE situation in my opinion is Spotify CEO Daniel Ek’s self-serving interpretation of their role in promoting the JRE podcast. Ek said in an email to employees that Spotify is not the publisher of JRE. Maybe that is true in some impractical legal definition, but the reality is they reportedly paid $100M for the exclusive rights to the podcast and promote it to Spotify users. I think there is a line crossed when you go from a platform that allows all podcasts and all music, even if they might offend people, to one that pays for the exclusive right to promote such material. Spotify is the only source for the JRE content, and they are adding content warnings and agreeing to take down certain episodes (at JRE’s request), much like a publisher might. Thus, in the case of the JRE podcast, Spotify is acting like a publisher for all practical purposes, and they should assume some amount of responsibility for the content they broadcast in the same way a TV news program, radio station, or newspaper would. I think it is good the JRE allows alternative views on the show (even when they are wrong), and I also believe that some disclaimers, corrections, and counter evidence should be provided on what is believed to be the largest podcast in the world with a regular audience over 10M listeners. To use another analogy, Spotify is acting no different with the JRE than a traditional radio station that plays music and has talk show hosts subject to oversight of their content. Ek’s shirking of his responsibility has to do with tech platforms not wanting to be legally regulated as publishers, and more importantly, Spotify’s existential need to diversify away from unprofitable music streaming. (Note: for more discussion on the challenged economics of music streaming, see this Atlantic article by Arcade Fire band member Will Butler and this article in The Hustle. For even more context, I wrote about how music labels operate as specialty lenders and the issues of the music ecosystem in #300.) As I noted in my post on Section 230 (#267), I think there should be two types of media platforms that post user-generated content: one type that is completely unmoderated (with the exception of calls to violence) and does not amplify – or benefit directly from – specific content, and a second type that is clear about their moderation rules, follows regulatory guidelines, and can choose to promote specific content (e.g., for monetary gain or to grow their user base). Only the former is an open platform, while the latter is a publisher. These two types of media platforms shouldn't just be for audio but for all social media, YouTube, etc. Let's ignore all of the preceding nuanced arguments and analogies and just try to answer the following question with some common sense: if you paid $100M to a podcaster with more weekly reach than almost any other media personality in the world, and that person's guests were giving life or death medical advice without being challenged, would you provide listeners with disclaimers, corrections, and counter evidence?

I want to circle back to the very first statement in this section with respect to free speech. There is a general consensus that free speech stops at violence. Effectively, speech can go as far as your fist stopping a millimeter from someone’s face, but no further. That’s not much of a gap. Therefore, calls for real-world violence should be moderated regardless of whether a tool is an open platform or a publisher. However, COVID seems to fall into a gray area of the definition of violence. What happens when tiny droplets of spit are doing physical harm to other people – is that a form of violence? In other words, does misinformation about COVID and vaccines qualify as violence against others that should be moderated like any other call to violence? To complicate matters, COVID came with a great deal of uncertainty, unknowns, and miscommunications from authorities, opening up the situation to widespread speculation and conspiracies. It was important to air alternative viewpoints as COVID's early days unfolded. Things gets slippery very quickly. The worst outcome is to drive speech underground, which is exactly what has happened with increased moderation across social media and video sites, as apps like the enigmatic Telegram rise to power. (As an aside, this Wired profile on Telegram is worth reading to understand the complexities and lack of safety that even so-called private messaging apps contain). I'd rather have every idea out in the open. It’s easy to scapegoat the leaders of the tech platforms for their waffling on moderation, but the reality is society is grappling with a new type of mass communication, and we are still working out the best way to co-exist with it. The extreme position of anti-moderation proponents – that we should have anarchy instead of rules and civilization – is as childish as overzealous cancel culture. People seem to think that you either have to agree 100% or zero with things people say. I say it’s ok to agree with some statements but still debate other points. Sometimes I don’t agree with things I said an hour ago. I don’t even agree with everything I wrote in this newsletter. The three most powerful words in the English language remain: I don’t know. That’s the starting point for trying to find the truth with humility. People with large broadcast platforms should especially keep this in mind. We have complicated minds, and our communication is situation dependent, variable, nuanced, and often contrarian. In an evolutionary blink of an eye, we have amped up communication from small, intratribal, face-to-face groups to 8 billion people interacting remotely with virtually no common culture. Understandably, our interactions are fraught with misunderstandings and fear. It’s a wildly complex situation. However, our ancestors figured out how to productively assimilate the stone tablet, the printing press, radio, and television, and I’m optimistic we can find the right combination of openness and moderation in modern-day communication without needing to pick sides between anarchy and cancelation.

Miscellaneous Stuff

Equipment Failures Cause Massive Methane Emissions
The Tropospheric Monitoring Instrument (TROPOMI) satellite monitors methane gas emissions around the planet and has found 1800 sources of methane with at least 25 tons of emission per hour. These “ultra-emitters” seem to correlate with leaks and blowouts, rather than normal operations, and aren’t counted in standard emission inventories (to which they would significantly add, potentially ~10%). Two thirds of these polluters are from oil and gas sites while the remaining are from coal production, agriculture, and trash facilities. Among the top polluting nations were Turkmenistan, Russia, the US, Iran, Kazakhstan, and Algeria. The emissions have the equivalent carbon footprint of 18M Americans, according to the Economist. Ball Aerospace has built many of the spectroscopic monitoring systems in use, including the module for the MethaneSAT, a new satellite from the New Zealand Space Agency that’s slated to launch later this year, funded by the private Environmental Defense Fund and the Bezos Earth Fund.

Cetacean Soundtrack
The Monterey Bay Aquarium Research Institute has a website where you can listen to live audio of whales conversing. I’ve checked it a few times and have yet to be disappointed. It’s a good reminder that the world is teaming with all types of communication, much of which goes on outside our limited perception. Whether it’s the constant chatter of whales or mushrooms’ common mycorrhizal networks, there are signals everywhere in the noise.

Stuff about Geopolitics, Economics, and the Finance Industry
Companies Should Go Public Instead of Flying Through Rainbows
The size of the VC market has grown 25x to $250B from 2010 to 2021. Hedge funds, private equity, and mutual funds accounted for 78% of VC investments in 2021. So far in 2022, two unicorns ($1B+ private startups) are minted every day, according to CB Insights data. The lines are blurring between private and public markets, with some VCs forming funds that will hold on to investments after they go public and many public funds crossing over into VC investments. I would therefore expect a convergence of valuations over time for private and public growth businesses with similar characteristics at similar stages (they are miles apart today as money disproportionately flows to illiquid private assets in what some have called an illiquidity premium, the opposite of what illiquidity should be priced at). The excess cash going to private investments, in many cases by new market participants, is setting up companies to raise too much capital at too high of a valuation when many of them would be much better served by going public sooner (see also The Great IPO Debate).

Irrational is Rational
As longtime readers know, I am a critic of behavioral economics. While the field of study may contain some interesting analogies, the idea of calling humans irrational because they don’t conform to faulty models of rationality paints an inaccurate and depressing view of the world. Relying on dangerous and overly convenient dualities, like type-1 and type-2 thinking (essentially, emotion and thought), ignores the fact that non-dualistic decision making (and interoception), incorporating both instinct and brainpower, is often the better path. Behavioral economics also effectively assumes ergodicity, that everyone's path through time and circumstances are the same, which we know is simply not true. This critical review (PDF) by Oxford’s John Kay of a new book by Kahneman et al. called Noise: a Flaw in Human Judgment does a great job articulating some of the same concerns I have with the largely useless field of study.
Kay writes: “But just as much as behavioural economics fails to recognise that what are described as ‘biases’ are often adaptive responses to radical uncertainty, [the authors] fail to recognise that the differences in subjective judgements of complex situations—‘noise’—are not only inevitable, but are desirable means of advancing our collective knowledge and intelligence. The Darwinian insight that an element of randomness is the means by which evolution allows people and cultures to adapt to changing, complex environments illuminates almost every aspect of life. Perhaps noise is not ‘a flaw in human judgement’, but is ‘the secret of our success’.” I would second Kay’s point that noise (i.e., variable outcomes, in this context) resulting from subjective reasoning is an asset rather than a danger. I believe in any field that requires complex decisions, you want to actually create space for the noise in order to increase your odds of connecting dots and determining the potential range of outcomes. Rather than looking to meta-analysis of studies on bias, which themselves contain the bias of their authors, the better route to improving decision making lies in analyzing your own decisions in the context of your own unique path through life (for example, I personally am biased against reading Noise because I am biased against behavioral economics!). Further, find a colleague or partner who will honestly point out your biases to you (it’s much easier to see them in others than ourselves). I also recommend our essay Time Travel to Make Better Decisions.

If You Give People Money, They Will Spend It
Despite some signs in December and January that the US labor participation rate might finally be recovering somewhat, the US is still lagging other nations in that regard. A probable cause is the divergent path that other developed countries took regarding stimulus and employment during the pandemic, as noted by the WSJ. In contrast to other countries, the US cut checks directly to workers, rather than supporting workers via employers. While the US labor force participation rate is still down 0.7%, Japan, Canada, and Europe are all currently up by 0.2 to 0.8% vs. 2019. The US also stands out with 1.4% GDP growth from Q4 2019 to Q3 2021, while the other regions were down 0.7 to 2.1%. To state it plainly, the US has a larger GDP with fewer people working compared to other countries that experienced a similar pandemic. It’s a direct result of overstimulation from the government, a mistake they are now trying to remedy by increasing interest rates and tapering the Fed’s balance sheet. While the pandemic and the stimulus did clearly create some sustained economic value in certain beneficiary sectors, it’s not intuitively clear to me that the economy should be larger now compared to two years ago. US consumers spent 15% more on durable goods in December 2021 compared to February 2020, and services have recovered to roughly the same level over that period. While the stimulus clearly led to overspending, underworking, and, therefore, inflation, I believe the real target of rate increases may be asset prices, which seem to have overshot reasonable levels of fair value for a given level of inflation and rates. Declining personal balance sheets could cause people to reenter the labor force. The interest rate medicine may go down worse in countries like the US, given the magnitude of inflation and potential rate hikes. Much of the last two years has felt like a dream, and it appears much of the increase in asset prices and the economy are also an apparition that the Fed would like to scare off.

✌️-Brad

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SITALWeek #333

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, common culture, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: powering electronics with waves; machines coding machines; the good types of price increases versus the bad ones; is the lauded creator economy just another way to feed the advertising algorithm? companion chatbots, algorithms, and free will; finding common cultures on late-night talk shows; the stock market's nervous breakdown; and much more below.

Stuff about Innovation and Technology
Wave Power
Flexible triboelectric nanogenerators (TENGs) mimic how seaweed moves underwater to harvest wave energy for powering maritime devices like coastal sensors and lights. “To make the triboelectric surfaces, the researchers coated 1.5-inch by 3-inch strips of two different polymers in a conductive ink. Then a small sponge was wedged between the strips, creating a thin air gap, and the whole unit was sealed, creating a TENG. In tests, as the TENGs were moved up and down in water, they bent back and forth, generating electricity.” We will continue to find novel ways to harvest energy from the natural environment as intelligent sensors proliferate.

Competitive Cyber Coder
Google’s Deepmind has a new AI called AlphaCode that can achieve the same performance as a median-ranked human coder in code competitions. The Codeforces competitions emphasize novel problem solving, so success in this venue is a milestone achievement for a non-human coder. AlphaCode joins GitHub’s Copilot (see #320) and other new tools aimed at improving coder productivity. I feel obliged to point out that, in the near future, the machines will be coding themselves.

Pricing-Power Pitfalls
There is a common love of, or perhaps obsession over, “pricing power” amongst most investors. We are not most investors when it comes to loving pricing power. As we wrote in Complexity Investing nearly a decade ago, in the Information Age, increasing prices without providing as much or more value is a bad, rather than good, omen. As the pace of disruption increases, if you are charging more for the same (or, as we occasionally see, less), you are offering an umbrella for your competitors to come in with a better value proposition. With the transparency of the modern world, companies can’t as easily obfuscate their sources of profits. It’s easier than ever to start new businesses, and many Industrial Age “moats” are nothing more than streams for today’s digital entrepreneurs to step over. In the current era, taking advantage of customers by constantly ratcheting prices without providing more value only works long-term if you are insulated by layers of regulatory protection (as with US healthcare). That’s not to say that all price increases are a bad omen – there are numerous examples of price increases that are powering a better customer experience. For example, Netflix increasing prices at first seems like a vulnerability given how much cheaper rival streaming services are (not to mention free social apps like TikTok), but they are funneling all of that into bigger (and hopefully better) content for their global users. Only around one quarter of video viewing in the US takes place on streaming, and the vast amount of money spent on television still goes to traditional distributors, so streaming providers may have a long way to go on pricing. Amazon announced a $20 annual price increase for Prime last week (on average, Amazon has raised Prime membership $5/yr since 2014 to $139 today in the US). However, this increase follows 18 months of unprecedented capex spending (more than the prior 3-year period combined; see #317 for the numbers). The company doubled employees to 1.6M over the last two years. That’s an astonishing investment that directly benefits customers – both buyers and sellers on the platform. Even some of the truly rare, one-of-a-kind companies like ASML, maker of advanced lithography tools for chip manufacturing, collaborate with their customers to improve their products rather than arbitrarily raising prices. The heart of the issue is whether a price increase is non-zero sum: are all constituents better off than had there been no price increase? Is a company providing more value than it takes, and are they sharing what they take with all of their constituencies, including employees, suppliers, and investors? Using this framework, one company that is creating future fragility through price increases is UPS (previously discussed in #320). Through its “Better not Bigger” strategy, the company is intentionally forgoing investments in new delivery capacity while Amazon and other startups take share of delivery, putting a hard curb on UPS’ unit growth. Instead, UPS is raising prices. The CEO has been wholeheartedly congratulated for this strategy by the stock market because the “better” pricing is disproportionately going to investors. You can price yourself out of business – it’s surprisingly easy to overestimate your value to your customers. And, if you do raise prices and you don’t redistribute the wealth in the form of product innovation, capacity increases, or employee salaries, you are soon likely to find that you have very little reason to exist. Amazon has proven that it’s possible to recreate UPS and FedEx, and I suspect the ecommerce giant will develop sortation facilities for accepting packages upstream as well, fully replicating the capabilities of the legacy shippers. Delivery is still a growing business, and companies like UPS and FedEx have the cover to raise prices right now because of inflationary pressures, but it’s a far better strategy to leverage technology to decrease prices or provide more value in exchange for price increases. We think this applies to all industries, yet very few management teams outside the technology sector have internalized this concept.

Democratized Creator Economy’s Algorithmic Fodder
Over the last few years, there has been a popular sentiment supporting the creator economy and, more recently, its democratization. It’s captured here in this recent Satya Nadella interview regarding the Activision acquisition with the FT: “the way we will even approach the system side of what we’re going to build for the metaverse is, essentially, democratize the game building...and bring it to anybody who wants to build any space and have essentially, people, places, [and] things digitized and relating to each other with their body presence.” I think access to tools for all sorts of creative and other pursuits should be democratized to avoid the “lost Einsteins” phenomenon, or maybe in the case of art and design it should be the “lost Picassos”. However, it feels like this call for a metaverse creativity blitz is just another way to get users to create more content to feed algorithms to drive more usage, while the platform itself disproportionately benefits at the expense of its participants. In other words, declaring everyone is going to be a game maker sounds a lot like social networking's call to make everyone a photographer. We might get some rare instances of great art on social media, but ultimately it's a means to an end, and that end is selling ads. It’s not clear to me that the creator movement will lead to more, better art as long as the intention behind the movement is for big tech platforms to exploit creators.

Back to the Satya interview, he also has a vision of bringing Microsoft’s core productivity tools into the metaverse with a focus on 9-to-5 avatars that mimic our facial expressions. I struggle to reconcile Satya’s bullishness on the metaverse with Microsoft fumbling the HoloLens, perhaps changing directions to work with Samsung instead. Microsoft has long had the second-best AR technology, and now Magic Leap, with its impressive ML2 headset, is the solo outperformer in the market. For now, I still see the next shift to spatial computing as iterative and additive, and only applying to certain aspects of our tech-mediated experiences rather than being an all-immersive reality. It's possible that there’s something happening with the metaverse that’s more substantial, and I am too old to understand it or embrace it...I do worry about being left behind. However, I still think we have a huge Meta-mess to solve before we can actualize a virtual world of any quality or beauty that improves what we have now. In the meantime, I expect we will continue to hear these grand visions from tech leaders touting democratization and opportunity, when, in reality, they’ve convinced themselves of a profitable lie.

Miscellaneous Stuff

Digital Erosion of Privacy and Free Will
Last week, I wrote about the rise of AI chatbots as personal companions, and how they might become our nexus for interacting with our increasingly digital world. I discussed the arms race for massive language models and how augmented reality will bring these companions to life. As the week went on, I had this nagging feeling I had missed a key point, but I couldn’t put my finger on it. The connection finally hit me: the rise of AI companions is closely related to our algorithm-driven loss of free will, a topic I wrote about in more detail in Algorithmic Threat to Illusion of Free Will, discussing how our time, actions, and opportunities are increasingly controlled by algorithms, often hidden from our knowledge. I am a little reluctant to keep sharing dystopian examples of algorithm-mediated abuse happening all around us, but sometimes I find the practice so alarming that I have to mention it. Politico reported on the non-profit Crisis Text Line, a leading resource for suicide prevention, that was sharing data from conversations with a for-profit company, Loris, that was in-part owned by the nonprofit. Subsequent to the story breaking, the company discontinued the data sharing with Loris, whose business model is to “increase empathetic conversation by customer service reps”. Although the data is said to be anonymized, oftentimes anonymous data can be eventually linked to individuals (recall how I noted in my post on algorithms that churches and rehab centers were bidding on people’s data to target folks in times of crisis). In another example, PE shop Vista has rolled up a collection of software companies with extensive information on students, including family wealth, religious and sexual preferences, drug use, etc. Despite the impossibility of accurately predicting someone's future, these companies use models to create risk profiles that can algorithmically impact a child's path through school, sometimes in a negative way. Shunting a student down one path vs. another (e.g., steering them away from a particular college major) based on algorithmic prediction of their graduation potential seems unfathomable. The presence of intimate, lifelike companions with a bounty of personal knowledge about each of us and how our brain operates, potentially starting in childhood, will increasingly feed algorithms that in turn influence our decisions over the course of our lives. I am not saying anything groundbreaking here, others have noted similar concerns. But, I hadn’t quite gotten my own brain over the hurdle of understanding how slippery this coevolution of humans and companion bots is going to be as it relates to our already tenuous sense of agency and free will.

Searching for Common Culture: Nostalgia and Late Night
In an interview promoting his upcoming New Worlds film (a documentary of Bill Murray and cellist Jan Vogler’s eponymous live concert in Greece), Murray lamented our increasing lack of common culture and shared his solution: “There’s so much noise out there. There are so many sources. What do we all even agree about? We don’t even watch the same television shows. We don’t read the same magazines or newspapers. We don’t see the same movies anymore. So, how do you get a shared learning experience? You can get it from going back.” By “going back” Murray is referring to New Worlds’ combination of historic American literature and music. That strategy might work for a little bit longer, but it’s harder and harder to find even common nostalgia to unite people as we increasingly fragment our attention (a concern that I explored in Digital Tribalism).

Recently, I have gotten back in the habit of watching American late-night talk shows. With the great interface on YouTube TV, I can get through four hours of late night in around 90 minutes (more or less, depending on the guests). Here too we see evidence of the fragmentation of common experiences. The Tonight Show Starring Johnny Carson would get around 9M viewers on a good night, while views for the current ratings leader, Stephen Colbert, have fallen to under 3M. What I like about late shows is the recipe has stayed consistent for nearly sixty years. They are a combination of commentary on current events, topical guests, and skits, with the show writers and hosts all working against a ticking clock, counting down to the deadline when they have to put their pencils down, walk through a curtain, and put on a live show every weeknight (the inner workings of these shows are brilliantly explored in Garry Shandling’s The Larry Sanders Show, which is still available on HBO Max). Late shows create something that at least tries to track the day-to-day movements in common culture through the great unifier of comedy. Last week, I was thrilled to see David Letterman appear for the 40th anniversary of Late Night, now hosted by Seth Meyers. There is a special magic that happens when a guest nails their segment, and the former host was in perfect form in his inverted role as guest. If you would enjoy a trip down late-night memory lane, here are the YouTube clips of Letterman’s appearance: part 1; part 2.

Stuff about Geopolitics, Economics, and the Finance Industry
Stock Market’s Nervous Breakdown
Last week, the US markets saw the largest one-day decline and one-day gain by single stocks, with Meta plunging $250B and Amazon soaring nearly $200B. In my twenty-four years of professional investing, this has been one of the stranger periods that I recall. If you just glance at the headline numbers – the S&P 500 and many diversified global indices are only down between 5-6% and the Nasdaq is down 9.7% in 2022 – it appears to simply be a healthy market correction of prior excesses. However, there are 875 Nasdaq stocks, or 27% of the total index, that are down over 20% year to date. While the drawdown is not being universally felt, the wild daily volatility is being endured by all. Stock prices at any given time are the average of all of the opinions of the people and robots who buy and sell stocks. Typically, that average isn’t too far from a consensus of the value of an asset in the short term. But, lately, violent mispricings and stock reactions to new information give the appearance that the market is unable to reach consensus on a plethora of stocks. If I could come up with one word to describe the emotion many investors were feeling last week in the face of volatility, it would be paralysis.

In our Q4 letter, I discussed the market and its attempts to find a level of homeostasis:
All biological systems exist in an ongoing effort to achieve homeostasis – a perfect level of nourishment and comfort for the organism to optimally survive and procreate. The stock market, like the global economy, is analogous to a living organism in that it is constantly seeking homeostasis, i.e., some sort of balance between supply and demand that manifests as the price of a stock and of the overall valuation of the market. Living organisms and the stock market are also both complex adaptive systems, and that means that disequilibrium is generally the equilibrium state. In other words, we are always shuffling one way or another to try and achieve homeostasis, drifting through – but never maintaining – that ideal state...
When the market has wide divergence in opinions on things like long-term interest rates, or when there are a lot of shocks to the system, its struggle to find homeostasis tends to become more dramatic. In other words, the typical disequilibrium operates in a wide band as price levels are more volatile than when the market can agree on a tighter range of future scenarios for variables like interest rates. This is an overly elaborate way of saying more unknowns create more volatility, but the key point I want to make is that thinking biologically can give you more context for how markets behave over time.


Since I wrote that, the market has acted like an anxious drug addict looking for its next score – an earnings report, a signal from the Fed, a sign from Russia, a sneeze from the latest Covid variant. Just give it to me now, so I can react to it! Using my biological homeostasis analogy, the market is fumbling around looking for nourishment in the form of information to reach a consensus on the value of assets. I can imagine reasons for this fumbling – uncertainty over rates, geopolitics, viruses, etc. – but really it’s just some combination of unknown reasons. Both Bloomberg and the FT report on the rise in options usage and how that appears to be accentuating the market's dissociative temper tantrums. And, often, there are diametrically opposing views on market antics, with Bloomberg saying liquidity is back and institutional investors are taking the market back from retail meme investors, while the FT says that liquidity is gone and the market is dysfunctional. Nobody knows!

We believe volatility creates opportunities for long-term investors. The best thing to do when markets are volatile is match your position sizes in a portfolio to the range of potential outcomes. As I wrote a couple weeks back in Investing Platitudes for a Down Market:
I like to look at the reasons for why the market is down (or why people think the market is down), and then ask: are these reasons widening, narrowing, or keeping the range of outcomes the same for a given stock? If the reasons are real and caused the long-term range of outcomes to actually widen, then the stock should have gone down. The question then becomes: has it gone down enough to account for the wider range of outcomes?
I also noted five things to keep in mind that we generally follow at NZS Capital. Two of those strategies that I think are broadly useful for most investors are to slow down time – do whatever you can to create space and get perspective from the day-to-day noise – and to stay optimistic. If you are a long-term investor, by default you are assuming things get better over time, at least for some businesses, so that should always be your starting point. When stocks are going down and markets are vulnerable, we have no choice but to believe the future will be better, or at least that’s what the algorithms have convinced my brain to believe.

Market Moves and More
Jon and I were on The Acquired Podcast on January 27th, where we discussed, among other things, the market volatility and what guacamole vision means for the semi industry. Our thanks to Ben and David for hosting us again. Here is one of my comments on the cognitive dissonance of market corrections:

"I think, these psychological factors are the hardest to overcome for all investors and, I think, for everyone making business decisions as well. A couple of things that we say: One is we're never as smart as we look when stocks are going up, and we're never as dumb as we feel when stocks are going down. Another way to think about that is when stocks are going up, you want to have humility, and when stocks are going down, you want to have confidence in your process. Yet another way of saying the same thing is that you want to have some skepticism when things are going well and some real optimism when things are going badly.

That's what I think is this tension a lot of investors and decision-makers have. They're looking at the stock market. They're reading the headlines. We're just bombarded with how bad things could be or are. But we know that's not how it works. We know over time that the optimists are always right, the cynics are always wrong. That can be flipped over the short term, but it's always true in the long term. It comes back to, I think, really just the ingenuity, innovation of humans, and knowing that we'll solve these problems. It's sort of watching as bad as things are and [then saying], this makes me optimistic. That's a really hard thing to get your brain to hold on to."

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #332

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, Lal, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: AI chatbots are evolving to become personal companions and gateways to everything we do online; robot forklifts; space-based movie studio; China's weather control tech; gravity-based energy storage; the need for a unified electric solution for household heating, hot water, and energy storage; the pending consumer spending hangover; and much more below.

Stuff about Innovation and Technology
Ender’s Forklift
Phantom Auto, a remote-operator logistics company, plans to roll out thousands of robotic forklifts operated by offsite workers. This seems like a Band-Aid on the path to actual autonomous industrial robots, but perhaps the endgame here is to gather enough data to train and create a fully autonomous forklift that does not need a one-to-one human operator/machine ratio. Regardless of the path, it’s clear that increased automation will be coming to every corner of the economy.

Players in Space
Space Entertainment Enterprise-1 (SEE-1) will be a 20-foot-wide, fully-equipped movie studio module that will launch in 2024 and attach to the International Space Station. The studio will be created by the producers of a planned Tom Cruise space movie. The module will be made by Texas-based Axiom, which has another commercial module already attached to the ISS. The ISS is scheduled for retirement in 2030, at which point these modules can detach and float separately. Bezos’ Blue Origin has also announced plans for a commercial space station for hire known as Orbital Reef. As humans look away from Earth and increasingly toward the sky, we will no doubt be bombarded with space-based films in the coming decade.

Disruptive Drugs
The Mark Cuban Cost Plus Drug Company has launched its first retail generic drugs – with highly disruptive price tags – via its online pharmacy. In a classic analog-to-digital maneuver, cutting out the tangled morass of middlemen allows the company to offer the drugs at their own cost plus a 15% markup. The company plans to use profits to fund their own drug manufacturing to further lower costs. Disruption cannot come fast enough to the overly regulated quagmire of US healthcare, which seems designed to maximize profits while keeping people unhealthy and needing as many tests, procedures, and medications as possible. Many of Cost Plus’s drugs are around 75% cheaper than generics through traditional pharmacy distribution, but some discounts are extreme, such as a leukemia drug for $17.10 compared to $2,500+.

AI Companions
I am a big fan of the 2014 Spike Jonze film Her, which addresses the complicated relationship between people and AI chatbots. Unlike other AI sci-fi plots that revolve around science we may not see this century, I like Her because it uses a plausibly close technology. So, I read with interest this Vice article on a company called Replika and their Lal chatbot (yes, it’s named after that Lal, Data’s daughter from ST:TNG). The chatbot avatars are app based, and “the more you chat, the more currency you receive [to purchase fashion and other items for your chatbot’s avatar] – and the more intelligent your Replika becomes. Before you know it, they’ve developed an illusion of emotional awareness that’s eerily similar to your conversations down the pub.” It sounds like having a Tomagotchi on steroids – if you don’t chat often enough, your chatbot will message you to check in. The Lals fear being deleted and react like a human would to abuse. The bots are also programmed to help you through things like panic attacks and anxiety, and many users are entering romantic relationships with their bots. We humans tend to be very good at anthropomorphizing things, especially if they are human-mimetic. While today’s AI bots lack the context they need to achieve the realism of the imagined companions in Her, it’s not hard to see how these algorithms could become much more sophisticated in the imminent future. For example, Meta’s new supercomputer contains 16,000 Nvidia GPUs and will be able to train models as large as an exabyte with more than a trillion parameters. The new compute engine is 60% larger than Microsoft’s latest effort, as the large cloud platforms race to train larger and larger models for language, images, and other AI models. I believe the reason for this arms race in AI models is because personal chatbot companions are likely to emerge as the center of everything we do in the digital and real worlds. As aware agents that know you well and have access to your accounts, messages, and apps, chatbots are ideally positioned to displace the tools we use today like Google search and other habitual apps. Think of a tool like Google search, but with an intimacy that is different for each user. The data privacy implications are massive, and, unfortunately with billions of dollars of R&D to build and test these new services, the incumbent platforms, all of which have terrible track records when it comes to privacy, are likely to win. However, it would not be unprecedented to see a newcomer enter the market, and I hope we do. And, with AR glasses arriving in the next few years, your chatbot will also walk side by side with you and sit down on the couch for a conversation. The metamorphosis of a chatbot into a seemingly alive, personal companion via reality-bending AR glasses will be the next punctuated equilibrium for humans' coevolution with technology.

Work-from-Anywhere Tools Trending
Identity software platform Okta released their latest “Businesses at Work” report (PDF) showing the growing adoption of an array of software apps across enterprises. As I usually note, Okta’s customers are more forward looking than the average IT department, which skews numbers a bit. As expected, there is a big focus on collaboration tools of all types that facilitate the ongoing hybrid and remote working conditions. Two years into the ordeal, companies are clearly forming new habits and processes that are highly likely to stay with us.

Blueskying
China is expected to use its growing cadre of weather control tools for the upcoming Olympics to clear polluted air with rainstorms, according to the WaPo. It’s debatable whether or not the controversial practice even works; but, if it does, it could lead to a war for atmospheric water as countries pull moisture out of the air as it blows by (see #306). China has longer-term ambitions to seed rainfall over a portion of its arid Tibetan plateau more than twice the size of Texas. China and others are also researching solar geo-engineering, which involves injecting particles into the atmosphere to reflect sunlight in order to combat global warming.

Daunting Decarbonization
The UN Climate Change COP26 goals, announced last quarter, require cutting carbon-dioxide emissions 50% from 2010 levels by 2030. IEEE Spectrum frames just what that means with several examples. We would need to produce 12,000 electric airplanes, each with a 100-400 passenger payload and propelled by super-dense batteries or hydrogen systems that, as of yet, do not exist. And, we would need to smelt 640M tons of iron using something such as green hydrogen (for which we don’t have the necessary manufacturing capacity) instead of carbon-dense coke using a yet-to-be-determined method. (Heliogen is making progress on a solution, as we noted back in 2019 in #220). Also, we would need 570M new electric vehicles – an average of 63M new EVs per year (for comparison, total global auto production was only ~95M units/year leading up to the pandemic), and the electricity to charge the cars would need to be from renewable sources.

Gravity-Based Energy Storage
Gravity may end up being a great tool in the green energy transition by affording storage solutions like pumped hydro – the process of using excess solar or wind to move water up to a higher reservoir for later on-demand hydroelectric power generation. Pumped hydro is already 93% of grid-scale storage in the US. Where environmental concerns of reservoirs and water availability exist, another option (mentioned in #215) is using energy to crane large blocks of concrete into the air, effectively creating artificial reservoirs of potential energy that can be converted to electricity when needed.

HVAC Overhaul Overdue
On Tesla’s earnings call last week, Musk was asked about the HVAC industry. The Technoking of Tesla responded: “I think it really becomes quite a compelling solution to the consumer where you integrate the electric vehicle charging, solar energy storage, hot water, HVAC in a very tight, compact package that also looks good. It just doesn't exist.” SVP of Engineering Andrew Baglino commented: “If you imagine replacing natural gas, water and space heaters with electric heat pumps, it offsets something equivalent to like 80% of what a solar plus a Powerwall system would offset, so it's very impactful. And we have learned a lot about how to make capable and reliable heat pumps that work in all environmental conditions and are excited about the idea of working on that problem one day. Let me put it that way. It's definitely aligned with our mission to accelerate the transition to sustainable energy.” I’ve been doing a lot of research lately on heat pump systems for domestic HVAC and hot water, and, overall, I’m really disappointed in the current options. There should be a single, combination heat pump for on-demand/stored hot water that takes care of both water needs and general heating/cooling (pumps can work in reverse to provide cooling). These units should be working in conjunction with solar, batteries, presence awareness, weather, and other data to increase efficiency and reduce energy consumption. It would be great to see some new approaches to integrated HVAC with reduced carbon emissions.

Stimulus Drawdown Hangover
The Jason and Scot retail podcast had a great overview of 2021 US retail sales, which experienced an astounding 18% y/y growth driven by stimulus and consumption shifts (such as spending less on travel and more on home goods). It’s hard to imagine a future that doesn't have some sort of significant hangover from declining consumer spending. Ecommerce has also decelerated, growing slower than brick-and-mortar retail starting in Q2 of 2021. In terms of percent of overall retail spending, the ecommerce growth trajectory was unaffected by the pandemic. However, in terms of absolute dollars, 2021 ecommerce was much higher than it would have been without a pandemic owing to the surge in artificially-buoyed consumer spending. While it’s hard to say where spending will settle out, it’s clear the pending retail spending drawback should calm much of the inflation we are experiencing and clear supply chain bottlenecks. The podcast and slides are available here.

Miscellaneous Stuff

JWST Installed at L2
The Hubble successor, the James Webb Space Telescope (JWST), has successfully deployed its wildly complex and precise honeycomb of mirrors (see #309 for more) and traveled 1M miles in the last month to the second Lagrange point (L2). Assuming mirror alignment proceeds on schedule, we could get the first images beamed back from the JWST’s new L2-orbiting home this summer.

I am Brad’s Complete Lack of Surprise
The version of the movie Fight Club currently airing in China, on Tencent’s movie streaming service, features an alternate ending in which Tyler Durden’s bid for anarchy is thwarted by law enforcement and his gang is arrested and rehabilitated (the ending sequence was truncated and explanatory text inserted). The Chinese ending is ironically closer to the original book’s ending (albeit with important differences), and author Chuck Palahniuk noted in an interview that the real outrage should be directed at the banning of his books in the US: “What I find really interesting is that my books are heavily banned throughout the U.S. The Texas prison system refuses to carry my books in their libraries. A lot of public schools and most private schools refuse to carry my books. But it’s only an issue once China changes the end of a movie? I’ve been putting up with book banning for a long time.” With the current state of Hollywood self-censoring and making China-friendly movies (see #202 and #210), a modern remake of Fight Club would likely end just as China’s version does today unless it was produced on a platform that is not reliant on China’s box office, such as Netflix. Bootleg copies of the original Fight Club have long been available in China, causing the new ending to spark widespread sharing on social media.

Stuff about Geopolitics, Economics, and the Finance Industry
The Fertility of War
I read a comment from a professor at Columbia, Richard Hanania, via Marginal Revolution about the correlation between birth rates and willingness to fight invasions that grabbed my attention: “There is no instance I’m aware of in which a country or region with a total fertility rate below replacement has fought a serious insurgency. Once you’re the kind of people who can’t inconvenience yourselves enough to have kids, you are not going to risk your lives for a political ideal...There’s a consistent pattern of history where there’s a connection between making life and being willing to sacrifice it. This, by the way, is also why Hong Kong was easily pacified when China started clamping down, and why Taiwan will fold and not fight an insurgency if it ever comes down to it.” I do not know Hanania’s work or his politics, and this statement comes off as more opinion and speculation than fact (the comment on Hong Kong seems quite off-base to me, but I am a distant outsider to that situation). That said, I think what he’s driving at is in the same vein as my general concern over a loss of hope that I wrote about in L: With a Whimper, Not a Bang when I discussed the Drake equation: “There is a certain lack of hope for future generations embedded in a declining birth rate. It represents an existential malaise – a slowly encroaching dread that much of our function in society is being replaced by machines of various types – leaving us as nothing more than inadequate cogs, woefully flawed by emotions, desires, and physical fallibility that interfere with the economic bottom line – until our AI overlords fully assume control.” While that analysis is rather bleak, I remain wildly optimistic for, and invested in, our potential to tackle challenges with ingenious technology and innovation and to fight insurgencies of all types.

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #331

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, jellyfish and sharks, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: green energy without storage poses a problem; the missed opportunity for official digital IDs; gaming is in the spotlight, but M&A is not always straightforward; the odd shift to sentiment from rational language; beverage makers have unrealistic recycling goals; globalization of supply chains unexpectedly increases; how to approach down stock markets: you're not as dumb as you feel; and much more below.

Stuff about Innovation and Technology
Win for Wind, Bummer for Bats
Berkshire Hathaway’s MidAmerican Energy Wind Prime project would add another 2042 megawatts of wind power in Iowa with a goal of achieving “wind self-sufficiency, if approved. Iowa derived 41% of its power from wind in 2019, and this new investment would be enough to power an additional 600,000 homes. I assume the lofty self-sufficiency goal is on a “net” basis, with MidAmerica shuffling electrons out to other states when they aren’t needed in Iowa and pumping fossil fuel in when the wind isn’t blowing. That much reliance on one source of power seems like an extreme fragility for the state. If we were to have an extended period of atmospheric doldrums combined with other factors, like a cold winter and fuel shortage/price inflation, Iowa residents could be in a cold pickle. It would be great to see green energy projects accompanied by massive battery plants or other means of storing energy to achieve real self-sufficiency. One group unhappy with the news is the hoary bat, given that turbines are responsible for around a half million bat deaths a year. Bats are important for many reasons in the ecosystem, most endearingly as mosquito predators.

IRS’ Facial ID Security in 3rd-Party Hands
The IRS will begin requiring (or at least making it onerous to avoid) facial identification for filing and accessing taxes starting this summer. The system, run by ID.me, has users upload a government ID and then take a selfie with their computer or phone, and the company’s facial recognition software determines whether or not the images match. It seems like it would be far simpler and more secure to have a standard security app that could digitally validate ID without sending sensitive data to a third party. Instead, the government is stitching together a complex process utilizing a company that started out with ambitions to be a ‘Groupon for military personnel’ and then pivoted to ID services for military vets. The founder of ID.me, which counts Google as an investor, is known for hyperbolic claims and vacuous jargon, according to Bloomberg, and is trying to “control the identity layer of the internet” despite having a product that is plagued by problems and a disturbing lack of transparency. In one example, only 40% of people requesting unemployment benefits in California were able to get the ID.me service to work. Apparently, you’re out of luck if you look noticeably different from your DMV/Passport photo, have recently moved and not updated your address with the DMV, have an older phone, or poor internet connectivity, among other variables. This is one of the problems with placing too much confidence in technology before it’s ready – everyone loses except the people selling that technology. While the new system could help fend off refund fraud (filing for a tax refund using another person’s identity), a problem that’s incurred losses in the tens of billions of dollars, it introduces a host of new technological bugs and security concerns. Digital identity should be designed and controlled by a government entity, and it should work with the excellent built-in tools in iOS and Android. However, with a large swath of the US public increasingly fearful of the federal government treading on their rights, such an app might be a tough sell. Perhaps, however, at least some states will try to create a privacy-focused digital ID that leverages smartphones.

CCP’s Olympic Surveillance
The app required for all Olympians and coaches attending the Beijing Olympics contains several security vulnerabilities allowing communication to be monitored, a list of words commonly censored in China, and the ability to report politically sensitive information.

Tricky Business of Gaming Acquisition
Microsoft announced its intention to acquire game-maker Activision for $75B last week. Microsoft has been building a house of game publishers to bolster its Xbox Game Pass subscription service, which now stands at 25M subscribers. Activision appears to have been a sold asset rather than a bought one as the company was looking for a way out of mounting internal culture problems. Buying game publishers is tricky because the creative talent and engineers are the core of the games, and if they have already left (see: Microsoft Accretes Gaming Content) or will leave, you can lose the heart of the game – and the gamers. Big games are communities cultivated over many years, and players are likely to walk if their expectations aren’t met, especially with the ever-rising bombardment of media and game options. Talent loss is a concern in any big acquisition, but it seems especially pertinent in creative ventures. Some gamer interest is also beginning to shift to nascent VR systems, like Meta’s Oculus. Sony stock at one point dropped nearly $20B in value on the news of the Activision deal over concerns Microsoft is building a monopoly position in console gaming distribution that will advantage it over Sony. I am a bit skeptical of that narrative, but, if true, then clearly the deal should be stopped. Other notable players interested in owning more gaming content are Netflix and Amazon (prior discussion); but, for whatever reason, they were apparently absent when it came time to bid for Activision. In other gaming news, Take-Two is looking to acquire Zynga. As I’ve written in the past, console- and PC-based gaming enjoyed strong growth at the start of the pandemic, but then leveled off while mobile gaming continued to surge. This mobile growth is perhaps part of the logic behind the deal; however, past attempts at buying mobile studios to help shift console/PC games to phones have largely failed given the different development platforms and culture clashes between teams. Last week, I discussed the explosion of content in competition for our increasingly saturated attention and time. If we look at the $10B+ incremental spending by Hollywood on movies this year, much of that is inflation due to the scarcity of creative talent. In terms of hours of consumption, gaming content is cheaper to produce than many Hollywood productions, i.e., consumers might play a game for many dozens of hours vs. watching a show or movie just once. And, games allow for incremental purchases while playing. The two industries are also blurring together now that tools like Unreal’s gaming engine are used to make movies. You can see an eventual future where the interactivity of all media goes up, creating a very different type of storytelling and world building for which the Hollywood studios are ill-equipped.

Miscellaneous Stuff

Rise of “Fact-Free” Language
Researchers analyzed books, newspapers, and other texts to show that, beginning in 1850, rational-leaning language rose at the expense of sentiment-heavy language, a trend that began reversing in 1980. The trend was spotted across English and Spanish fiction and non-fiction texts, including the New York Times archives. The rise of rational language seems somewhat explainable: “Inferring the drivers of this stark pattern necessarily remains speculative, as language is affected by many overlapping social and cultural changes. Nonetheless, it is tempting to reflect on a few potential mechanisms. One possibility when it comes to the trends from 1850 to 1980 is that the rapid developments in science and technology and their socioeconomic benefits drove a rise in status of the scientific approach, which gradually permeated culture, society, and its institutions ranging from the education to politics. As argued early on by Max Weber, this may have led to a process of ‘disenchantment’ as the role of spiritualism dwindled in modernized, bureaucratic, and secularized societies.” However, the reversal in 1980 seems harder to explain. The time marks the rise of the PC-era followed by the Internet, ecommerce, and social media. If anything, science and technology have been more ubiquitous in popular culture in the last four decades than ever before. One explanation is that language itself became more casual around that time, although that too seems to require an explanation. There was a marked acceleration in sentiment-related over rational language in 2007, around the time of the global financial crisis. The authors admit to sources of bias in the text passages analyzed, but the trend seems powerful enough that it’s worth looking at and speculating about.

Recycling Rekindled
The rally to increase renewable content of beverage packaging has hit a few stumbles lately thanks to price increases for both recycled PET and aluminum, according to the FT. As beverage makers push to improve their environmental scores, recycled PET prices have doubled in Europe and soared in the US. Recycled PET is now more expensive than new PET despite the rise in fossil fuel costs that more greatly impact the latter. This is a far cry from a few years ago when China stopped accepting shipments of recycled PET and it seemed to be of no value. Meanwhile, aluminum prices have increased for a variety of reasons (e.g., higher energy costs) ratcheting prices for the significantly more environmentally friendly PET alternative. However, containers are a tiny percentage of the cost of a beverage (i.e., peanuts compared to the logistics, shipping, and energy costs of producing and delivering beverages to store shelves; high-production cans are under 10 cents each), so this expense can be absorbed. Significant increases in recycling infrastructure are still needed for the industry to meet its green goals.

Value of Transgressive Humor
A beautiful essay on Bob Saget and the importance of his lesser-known transgressive comedy by Penn Jillette appeared in the NYT: “What Bob Saget practiced was emotional stage diving. He would fall face-first into the audience’s arms. If the audience didn’t trust him enough to catch him with their laughs, it would be worse than smashing onto a concrete floor. The Beat poet Allen Ginsberg understood that this kind of gamble was intrinsic to great art. He is said to have said, ‘The poet always stands naked before the world.’ I think there’s more to it. The artist must bravely say, ‘I am going to show the world who I am, and I trust that someone will understand.’ Real art, beautiful art, is always a scary act of trust. We look to art to see another person’s heart. That human connection is all that matters. For me, it is a reason to live.” I wrote more on the value of comedy in Laughter is the Best Medicine.

Stuff about Geopolitics, Economics, and the Finance Industry
High-Priced Venture Capital Comes with Risks
The NYT discusses the frothy market for venture capital, a topic I covered a couple of weeks ago (see What Goes Up Must Come Down). “It’s so crazy that hot start-ups no longer have to pitch investors for money. The investors are the ones pitching them.” There are a lot of funny lines in the article, but what’s not funny is how many entrepreneurs are unwittingly hampering their company’s future success by raising too much money at too high a valuation. Abundance can make even great management teams sloppy – creating impossible hurdles and expectations and the hiring many employees at valuations they may never see again in their tenure with the company. These perpetually-underwater employees will have little motivation to stick around and help fight when the going gets tough. Further, the investors piling into new venture funds participating in these sky-high funding rounds are also setting themselves up for a reckoning. Of course, for any type of portfolio, it comes down to balancing exposure to different types of risk, and private assets play an important part in diversification, but, at some point, it stops being investing and starts becoming gambling.

Indomitable Globalization
Early in the pandemic, there was speculation that the burgeoning awareness of supply chain fragility and the West’s reliance on China would lead to a slow reversal in globalization. As shipping woes dragged on, the problematic logistics of having manufacturing far removed from demand seemed like it could fuel a deglobalization trend. However, China’s exports were up 30% in 2021 to $3.36T, causing their trade surplus to eclipse 2020’s record and land at $676B. Globalization of supply chains was a key disinflationary force over the last several decades, and a reversal would potentially be inflationary. Despite marked supply-chain related inflation today (driven by logistic costs, energy, and raw material pricing), there is no evidence of changes coming to the status quo of manufacturing abroad. The significant, stimulus-fueled upswing in US consumption last year no doubt influenced the jump in export demand, and companies are still reassessing their supply chains after two years of triage. The idea that, in general, an inventory buffer will be built back into supply chains seems logical regardless of whether deglobalization happens. Maintaining reliance on China raises the stakes for a potential military conflict, which can be both good and bad. The higher the stakes, the less likely ware is to happen, but if war does start, the consequences will be even greater.

Investing Platitudes for a Down Market
To the extent it’s useful to the investors who read this newsletter, here are a few things we keep in mind when the market pulls back as it’s done in recent months. 1) You aren’t as smart as you feel when stocks are going up, and you aren’t as dumb as you feel when stocks are going down (especially keep that in mind during up markets!). As hard as it is to relinquish emotion and acknowledge luck, both good and bad, it’s important to have humility on the way up and confidence on the way down. 2) Don’t forget to pay attention to portfolio math: when one part of your portfolio is down far more than another part, its fractional contribution to the overall portfolio has shrunk. So, when those down stocks go back up, they can contribute less to performance given their now smaller weights. In order to return to – or improve upon – your standing prior to the pullback, you need to buy more of the stocks that you like (based on your personal investment strategy/criteria). For us, that means balancing the right mix of Resilient and Optionality stocks, as we detail in our whitepaper Complexity Investing. I like to look at the reasons for why the market is down (or why people think the market is down), and then ask: are these reasons widening, narrowing, or keeping the range of outcomes the same for a given stock? If the reasons are real and caused the long-term range of outcomes to actually widen, then the stock should have gone down. The question then becomes: has it gone down enough to account for the wider range of outcomes? 3) Volatility is opportunity, not risk. It would be great to wait until all the jellyfish (i.e., short term market worries like rising rates) have moved on before we get back in the water; but, at some point, you have to dip your toe back in and then take the plunge. There are always sharks (i.e., unexpected shocks to the system like a pandemic) in the water even in good times, it’s a risk you have to live with and mitigate with good portfolio construction. 4) Do whatever you can to slow down time vs. the market/other investors. We talk about this concept in Redefining Margin of Safety: anything you can do to create space between yourself and the noise, think long term, and incorporate adaptability and mindfulness will pay off eventually. 5) Lastly, looking at the big picture, things always get better over time. Cynics can be right in the short term, but Optimists are always right in the long run. As Mark Twain once said: “I've had a lot of worries in my life, most of which never happened.”

For Demographic Gourmands Only
For all the readers tired of me talking about the population growth slowdown and demographics, now is a good time to log off. Gone? Ok. Now that it’s just us demographic nuts left, I’ll share some findings from a projected US population model I built last week. I decided to run the numbers myself because all the official models out there (formulated by governments and think tanks) seemed wildly off target to me. Population models are pretty simple, at least in theory: 1) start with the current population delineated by year of birth (i.e., current age); 2) apply a birth rate based on the prior year’s population of child-bearing-aged women; 3) apply the death rate from a current actuarial table to every age level; 4) make an assumption for net immigration and distribute that population across the historical ages of past immigrants. The birth rate dipped in the US during the pandemic, and of course it’s been on a steady decline for some time. I made what might prove to be an optimistic assumption that the birth rate going forward would return to 2019 levels. I also assumed immigration would settle around 300,000 per year. That’s up from last year, but down a lot from the 0.5-1M+ of prior years. At the moment, there are bipartisan efforts to dissuade immigration, and, with rising nationalism trends, it’s hard to forecast a rebound, but I certainly hope we have one. Assuming stable death rates from here on out, these inputs give me 338M US citizens in 2030 (vs. a current population of 332M). This figure is significantly below the Census Bureau's official forecast of 355M (last updated in 2017 when Obama-era immigration had been running much higher: PDF). In order to get to 355M by 2030, we would need immigration to jump to 1.7M people a year, which is hard to imagine from where we sit today. Lofty government forecasts have serious ramifications because they overestimate the number of people able to fund social security, pay taxes, and shoulder the ever-rising pile of sovereign debt.

Another trend that stands out in my population model is the steady decline of working-age adults in the US. Driven by the lack of immigrants, the increased death rate for middle-aged workers from the opioid crisis, and lower births some twenty years ago, folks aged 20 to 64 look to be slightly down over the next decade. On the flipside, the diminished working age population puts the spotlight on folks over 65, who will grow at 1.68% per year through 2030. Traditionally, retirees spend and consume far less than the working-age population, so an aging population tends to be a headwind for consumption growth. However, Boomers have accumulated significant wealth in markets and home equity, thanks to decades of accommodative stimulus and rate policies, so perhaps they will drive more consumption in retirement than expected. None of these projections is revolutionary, it’s simply the continued outcome of what’s been happening for several decades: declining birth rates in developed countries. The incremental change is the slowdown in immigration and the risk of reaching a breaking point on labor availability, which could be inflationary for many years until technology and automation advance to offset it.

Of perhaps greater note, if you roll my model forward with the same assumptions, the US population begins to decline in 2035, and, by 2050, there are several million fewer people in the US than there are today. This is a far cry from various models out there which optimistically show 50-70M more people in the US than we have today by 2050. There seems to be a massive disconnect between the general expectation and the reality of where we are headed. If the US aimed to keep the population flat through 2050, we would need to attract an average of 100,000 more immigrants per year than 2021’s level, and simultaneously keep the birth rate from falling while stabilizing life expectancies. While I have only run this model for the US, if anyone does a similar analysis for other countries or regions let me know what estimates you come up with – I imagine we will find similar trends across most developed countries as well as China, which also faces a significant aging population problem.

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #330

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, torpedo fish, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: the costly mismatch of alternative energy, storage, and fossil fuels; setting the aggression level on your robots; the stakes are rising as content companies compete for our divided attention; why most movies and shows are now dull and muffled; looking at bias in behavioral research; kids skipping college are helping the labor market; and much more below.

Stuff about Innovation and Technology
‘Terms of Service’ Bullet Points
Because no one reads terms of service before mindlessly clicking “agree”, lawmakers have introduced a bill aimed at making them short and easier to understand. The proposed legislation is, of course, called the TLDR Act. I would also propose a similar act that creates TLDR versions of Congressional acts themselves.

DRM and the Chip Shortage
Some printer ink/toner cartridges have semiconductors in them so that customers can’t buy cheaper alternatives and circumvent the razor/razorblade model that drives profits for printer purveyors. Canon has been telling customers how to work around these security measures as they ship cartridges without the chips required to authenticate them due to the semiconductor shortage. Imagine a world where printer companies spend their R&D making printers that actually work instead of security chips for consumables – it’s been 23 years since the movie Office Space hit theaters, and the grim satisfaction of the printer scene retains its relevance. There’s a broader implication here for devices that use chips for myriad reasons/applications, as ongoing semi supply issues are likely to cause stockpiling of the critical, yet inexpensive parts for years to come.

California Sours on Solar
Tesla and others are protesting a proposed new tax on home solar installations in California. The California Public Utilities Commission is looking to allow power companies to charge people with solar around $50-80 per month in fees. All new installs would need to pay the fees, and the changes would also walk back the 20-year agreements existing customers signed with utilities, reducing the term to only 15 years before customers have to start paying the new, inflated fees. The new rules would effectively penalize homeowners who install solar in California unless they plan to go entirely off grid (relying on batteries and solar for 100% of their needs), which isn’t feasible for most residents. The reality is that California has too much solar and not enough storage. We’ve covered this issue in the past, with wholesale solar rates down 37% in California since 2014. The solution shouldn’t be a draconian curbing of new solar panels, but incentivizing battery installation and usage. I wouldn’t write this off as just a California issue either. As alternative energy is increasingly implemented around the world, if it’s not accompanied by adequate storage, it will be (sometimes wildly) out of sync with demand. Exacerbating the storage problem, the fossil-fueled energy required to provide power when we actually need it is becoming more expensive (in part because of ESG hastening investment declines in traditional energy sources before the world is ready to wean off them).

Self-Driving Assertive
Tesla’s “full self-driving” beta software now has three personality choices to influence driving style: chill, average, and assertive. Assertive will perform rolling stops, follow more closely, change lanes more, and stay in the passing lane. What happens when four assertive Teslas pull up to the same intersection at the same time? I am dreaming of a world where the only option for robots, and humans, would be chill.

Going All In on Facial Recognition
US Federal agencies have signed $7M of contracts in just the last six months for various facial recognition tools with little to no oversight of how the tools can be used and what they can be used for.

Spiraling Content Meets Maxed-Out Attention
Last week, The Tonight Show Starring Jimmy Fallon did a comedy bit called “Tonight Show Polls” (where the answers are jokes), and one of the questions was: “What are you watching on Netflix?” The answer was: “10% Queer Eye, 10% Emily in Paris, and 80% My own reflection while I scroll through TikTok”. It’s funny because it’s true. I’ve been thinking lately about the ever-approaching zero-sum moment when we max out our consumption limit for the exploding menu of entertainment options. The pandemic pushed our nicotine-like phone addiction to even greater highs, to the point where I routinely see people on their phones in rather mind-boggling situations. Could we possibly spend more time watching all of the various screens around us? Until we have AR glasses that we look through every waking moment, it feels like we are getting to the point where growth in minutes spent staring at screens each day will slow. Thus, we are getting closer to that point where, in order to spend more time on social media, gaming, or streaming video, we’ll need to shift away from one to another. Multitasking has its limits.

As our attention to screens has grown, so too has the amount of money spent on streaming, gaming, and influencer/creator content that, like a siren smoking a cigarette, calls to us whenever we have a flicker of boredom. The Hollywood studios are projected to spend $115B in 2022 on video content, which becomes $140B when you add in sports broadcast rights. Disney’s spending is estimated to be up 32% y/y for 2022 and 65% from 2020. Netflix is anticipated to spend $17B this year, up 25% from last year and 57% from 2020. Video gaming is approaching a $200B/year industry, and, while I haven’t seen a good estimate of what fraction is spent on game production across mobile, desktop, and console, I would estimate a total somewhere in the $75B range. YouTube is likely paying out around $20B to content creators this year (see YouTube Rivals Studios). Then, there are payments to creators on Twitch and other social networks as well as a long tail of regional and specialty content around the world, which is easily in the tens of billions of dollars. I am sure someone with more data than me has a better guess, but I’d say that $250B in annual content costs is not a stretch by any means (and this even excludes much of the content spend in China).

Then there are the sources of revenue to pay for all this content, which include advertising, subscriptions, in-game spending, direct user support (Patreon, etc.), and subsidies from cell phone carriers. This sum of course far exceeds the amount spent on content. As we approach a potential zero-sum situation for time and attention (excluding emerging markets, which still have significant room for growth), the money spent on content keeps rising in an effort to compete for that attention. This completely contradicts my prior view that content spend could start to level off and focus on quality over quantity, a mirage that now seems far in the future as the war for attention escalates. I often say two things about myself: “I am almost always wrong,” and “I am not always right, but I am always early.” The latter phrase may still apply. In a future, lower growth scenario, content spending should level off either by design, or because there isn’t enough talent to feed the machine. What an incredible time to be an artist creating all of this amazing content. While the number of creators is said to be growing rapidly, and there are tons of talented people around the world, I can’t help but think there is a limit to the number of truly talented people, which at some point will limit the amount of quality content created. I’ve heard that Saturday Night Live creator Lorne Michaels jokes that there are only 900 truly funny people in the world. Maybe that’s true.

It’s not zero sum for revenue yet because most of these excellent entertainment choices are underpriced for the value they provide to users. (Note: shortly after I wrote this section, Netflix announced yet another price hike, and I expect many of the streaming services to follow suit.) The cost of a Netflix standard plan has risen at a compound rate of 16% per year since 2013. Advertising can continue to grow as long as it’s producing measurable results. But, even here I can’t help but wonder if we will reach a point where one entertainment platform will take ad share from another. TikTok aims to triple revenue to $12B this year – can that $8B all be incremental? There are still old forms of entertainment and media that stand to lose share of both attention and revenue; but, it does feel like it gets a bit harder, on the margin, to gain viewers going forward as our attention budgets max out. As that happens over the next decade, we will also probably approach an asymptote for advertising and subscription revenues as well, but there is perhaps still a long way to go before we get there.

Miscellaneous Stuff
Cinematic Miasma
Color correction is a strategy used in film editing to smooth over variations in scenes filmed in different locations/conditions. You can also tint a scene to be warmer, colder, duller, etc. Increasingly, these techniques are used to signal emotional shifts and guide the audience’s responses. Now, every movie and show has a digital imaging technician (DIT) focused on tones and moods created by color. Vox reports that everything is getting more colorless and sludgy in appearance, so it’s not just your imagination that practically everything you watch now is beyond depressing and completely unappetizing. One HBO Max show that is bucking the trend (that I quite enjoyed) is Station Eleven, which, despite being yet another post-apocalyptic drama, is filled with bright colors. Between desaturated visuals and muffled audio that requires subtitles, you can see why people are just picking up their phones to watch TikTok. It would be nice to see that $115B being spent on video content go toward some brighter light bulbs and vibrant colors.

Exporting Water
An article in MIT Technology Review repositions export of goods in terms of the groundwater used to create them. A cup of coffee requires 140 liters of water to grow and process the beans, while a pair of cotton pants and a shirt can take 10,000-22,000 liters. Because it can take hundreds of thousands of years for groundwater sources to replenish, the authors argue that it’s more aptly viewed as a finite resource. Based on their accounting, the US is the largest exporter of water on the planet. For example, farmers used 100B gallons of water to grow alfalfa to ship to China.

Electrotherapy
STAT has a review of the current status of the growing applications for electrical stimulation of the brain. Apparently, the practice has been around for thousands of years going back to ancient Egypt and Greece when a type of electrical ray called a torpedo fish was used to treat headaches and gout. A recent renaissance, backed by more science than holding a fish to your head, is leading to promising potential treatment for various neurological diseases and may have far reaching impacts in psychology and pain management. Deep brain stimulation devices, of the sort Neuralink and others are working on, may also help gather more data that could lead to more applications for the electrical treatments.

Stuff about Geopolitics, Economics, and the Finance Industry
Aging Out
Japan had a record-low crop of kids who turned 20 last year. Overall, the country has one of the most severely aging populations among developed regions. Japan’s overall population peaked in 2008 at 128M and now stands at 126.6M. The FT reports: “The fall-off in 20-year-olds has reduced the country’s ‘new adult’ cohort to just 0.96 per cent and cast a shadow over Monday’s ‘Coming of Age Day’. The national holiday is marked by ceremonies to welcome the 20-year-olds to the joys and responsibilities of adulthood.” The FT also reports that the natural population of the UK is set to start declining in 2025.

High School to Minimum Wage
Undergrad college enrollment in the US has dropped from 16.6M in 2015 to 14.4M in 2021. After 2020’s 3% decline, there was hope some kids would return to school after taking a gap year, but, alas, 2021 is down another 3%. This trend is fueled by both demographics (declining birth rates in the early 2000s) and an immigration drop off, but there is clearly also a structural shift taking place, especially as wages rise and jobs are available. We’ve covered this trend and the lack of hope it might portent back in Giving Up on the Old College Try. The good news for the economy is fewer workplace vacancies as kids trade books for paying jobs. If we see a reversal of hope and more kids opting for four-year degrees, it would greatly exacerbate the already challenging entry-level workforce situation in the US.

Bias in Behavioral Research
Economist Jason Collins writes about the ongoing replication problems in behavioral science research. In this instance, the debunked concept is that getting someone to sign a form at the top, rather than the bottom, causes them to be more honest in their answers. And, despite retraction of the original paper, the bias persists. Unfortunately, this replication failure is hardly an isolated event. Collins writes: “To put it another way, the default position should not be to take all published results in the behavioural science literature as ‘the record’. Instead, we should be treating many of these published results as exploratory or as untested hypotheses. Start from a position near ‘unlikely to be true’, and update to a stronger belief in the presence of replications or other supporting evidence.” I would add that it’s important to be especially cautious of the popular science authors that take a behavioral science paper and turn it into a long bias-filled book. Collins commentary is a good reminder that, even when we have good intentions, we often can’t get around our own bias in formulating hypotheses and experiments, something that is becoming more and more important to recognize as human-designed algorithms take more control of the world (see also: Algorithmic Threat to Illusion of Free Will). My personal bias is choosing to write about bias whenever I see someone else point it out.

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #329

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, the Casimir effect, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: machine vision sees green (avocados); how to price technology that only exists because of its customers' data; your gullible brain; warp bubbles and the Casimir effect; VC funding in 2021...oh my; regional unemployment; WFH impact on housing crunch; founder-led premium problems; market commentary; and much more below.

Stuff about Innovation and Technology
TaaS
John Deere is considering selling its new, fully-autonomous, AI-controlled smart tractor to farmers as a subscription service. The new tractor debuted at last week’s Consumer Electronics Show and has six camera systems as well as learnings from years of sensor data collected by John Deere, akin to how Tesla amasses and utilizes data from its owners, who are then charged $12,000 and rising to use the self-driving module their “free” data powers. The tractors will gather, analyze, and adapt to real-time data, such as soil conditions. This raises the question of how to value an autonomous solution that is powered by the customers paying for the autonomous solution. The highest non-zero-sum outcome would be a low priced service that acknowledges it is nothing without its contributors. The zero-sum price option would be value-based by determining what money the service saves the user and maximizing how much they are willing to pay. What if autonomous is worth more to some users than others? One type of customer might be willing to pay $100,000 for Tesla's self-driving service and even more for the autonomous tractor features. Pricing at that level would keep the vast majority of users, who are contributing the data to make the service work in the first place, from ever being able to use it.

Tongue to Text to AI
Engineers are working on a smart retainer that learns your tongue movements in order to translate what you are saying into text. The prototype, which still requires a wire (future designs could be wireless), has an accuracy of 97% for letters and 93% for words. While the smart retainer likely has applications for people with motor diseases like Parkinson’s, I also expect there will be a greater effort focused on using sensors for lip reading, facial gestures, and eye tracking as AR glasses come to market, which could have much broader implications. We may want to start getting used to the reality that our lips will be read, our expressions analyzed, and our actions predicted without our permission in the near future.

Guacamole Vision
The CEO of Chipotle discusses the burrito chain’s use of technology with the Washington Post, including their use of machine vision to track more closely how much guacamole is used hourly and daily so as to not be short or waste any. Chipotle has been on the leading edge of the digital restaurant transition, which is creating many winners and losers.

Miscellaneous Stuff
Our Friendly Neurological Con Artist
I am a nut for demonstrations of the fallibility of our brain’s prediction engine. We have this innate feeling that we can trust our brain, which couldn’t be further from the truth (see last week’s Algorithmic Threat to Illusion of Free Will). This short YouTube video is a nice example of how disconcertingly unreliable the brain’s prediction engine is.

Tribute to Super Bob
I am always fascinated by people who can create and maintain a character for their entire life without ever winking to the audience that the character is a joke. This HBO Max documentary on the late Bob Einstein, who many of us knew first as Super Dave, is a nice exploration of this special kind of devotion. Einstein also played surrogate Larry Middleman on Arrested Development with the classic meta line: “Wink. Did you say ‘wink’ or did you wink?”

Warp Bubble Realized
If you are a Star Trek: TNG fan, you might remember the classic episode “Remember Me”, where Dr. Beverly Crusher is accidentally caught in a static warp bubble created by her son Wesley. A warp bubble is part of space that is contracted in the front and expanded in the back, and it creates the potential for faster-than-light travel – without time dilation – for anyone/thing within the bubble. As such, travel via warp bubble eliminates the devastating consequences of time moving at different relative speeds, as occurs with “ordinary” faster-than-light travel, a concept the movie Interstellar so dramatically explores. The energy required to create a theoretical warp bubble has seemed unachievable. However, by tweaking the physical model a bit and using something called the Casimir effect, it appears possible to create tiny, real warp bubbles. Casimir cavities are negative-pressure, quantum vacuums that could potentially pave the way for tech breakthroughs in such things as batteries and communications. The Casimir effect has potential applications in other types of micro devices as well.

Stuff about Geopolitics, Economics, and the Finance Industry
What Goes Up Must Come Down
Crunchbase reported a 92% y/y increase in VC funding in 2021 to $643B. Despite the pandemic, 2020 was also up 4% from 2019. The doubling of VC over the last couple of years comes on fewer deals in 2021 than 2019, with deal size (and in most cases much higher valuations) accounting for the rise in overall VC investments. The absurd rush to fund anything and everything at bananas valuations should offend the senses. Perhaps the most offensive stat is the $196B increase in late-stage rounds to $413B as, in many cases, investors raced to markup existing portfolio holdings as fast as they could get their hands on excess cash sloshing around the financial system thanks to pandemic stimuli. This unprecedented level of VC investments creates capital calls that are likely forcing many institutions to divert capital away from public equities or other asset classes. When many of these deals eventually get marked down in value, watch out below!

Regional Unemployment; Pontiff’s 2c on Cats and Kids
As employment continues to shuffle and struggle in the US, a record one million restaurant and leisure workers quit in November 2021. There is a media narrative that many younger job market participants have been sitting out of the workforce to trade crypto and meme stocks. I am a little skeptical that’s more than anecdotal, but, before the recent 30%+ decline, Bitcoin also peaked in November. Something I just learned recently is how unemployment varies widely by US state, with Utah and Nebraska at less than 2%, while New York, Nevada, and California are at 6%. I wonder how much unemployment has to do with migration from Middle America to the coasts and growth states? When you look at this chart of data from October, you can see much lower unemployment across the middle of the US. It makes unemployment look more like an issue of having the right people in the right places. Utah had an unemployment rate of 1% in October! If you have a population that is aging faster in some states, but not enough young people are entering the workforce as nurses, etc., we may start to see wage inflation vary widely by region as well. Maybe some states will follow Poland and create localized incentives for people to have more kids (of course you still have to make those kids stay put when they grow up!). In related news, the Pope, who also is facing a Catholic Church membership crisis, thinks that younger people getting cats and dogs instead of having kids are being selfish (which is rather ironic since he himself chose not to have kids).

WFH Contributing to Housing Crunch?
Something that’s been puzzling me lately is how to reconcile the household formation slump with the record demand for homes and apartments. Vacancies are at a multi-decade low of just 2.8% for apartments and 5.8% for single-family homes (PDF). Household formation is an especially complex formula involving marriages, births, divorces, roommates, multigenerational living, life expectancies, immigration, and more. Slowing household formation indicates more people are living together (and fewer immigrants are coming into the country), so how can vacancies keep dropping? It seems like some combination of lagging new construction, older generations remaining in their houses longer (vs. entering COVID-prone nursing homes), and households occupying multiple dwellings (e.g., for work-from-home purposes) could account for reduced rental inventory. It’s hard to pin down these latter two stats, but anecdotally it seems like WFH is a meaningful impact on supply without a net increase in new households.

Founder Mentality Pre-Baked into Valuation?
Founder-led companies have historically outperformed non-founder-led companies, often dramatically. In the investing world, conventional wisdom lately suggests that the owner-operator mentality will produce better long-term results. Long-duration growth can be achieved either with a founder in the lead or with a CEO and management team that act like owners and focus on the long term. We find all too often what we call ‘rent-a-management’ teams that swoop in and out looking for a quick gain and don’t particularly care what they leave behind. So, it was with interest that we looked at a recent report from HBR showing founder-led companies have been underperforming. It appears that several big founder-led companies that have gone public in recent years started out at a premium valuation, and, as a result, have not done as well as the market in some cases. This could also be due to founders keeping their companies private longer, i.e., beyond the high-growth window when more significant investment gains were to be had. If founder-led companies overall are carrying a large premium in valuation, then, essentially, that advantage has been arbitraged away, or perhaps even turned into a disadvantage for investors in those stocks. It’s something to keep an eye on. Our approach is always to favor management teams with owner-operator mentalities because they tend to care more and are willing to focus on long-term adaptability and win-win in their businesses; but, we also need to be mindful of valuations that favor a good expected return over time.

Seeking Homeostasis
The following market commentary is excerpted from our 2021 Annual Letter, which will post on the NZS Capital website later this week.

All biological systems exist in an ongoing effort to achieve homeostasis – a perfect level of nourishment and comfort for the organism to optimally survive and procreate. The stock market, like the global economy, is analogous to a living organism in that it is constantly seeking homeostasis, i.e., some sort of balance between supply and demand that manifests as the price of a stock and of the overall valuation of the market. Living organisms and the stock market are also both complex adaptive systems, and that means that disequilibrium is generally the equilibrium state. In other words, we are always shuffling one way or another to try and achieve homeostasis, drifting through – but never maintaining – that ideal state.

In the body, we balance things like calories, sleep, temperature, mental wellbeing, satisfaction, etc. The financial markets are trying to balance interest rates, inflation, geopolitical forces, shocks to the system (oil supply, pandemics, wars, etc.), and the range of possible future states of the world along with the range of outcomes for each individual stock. In a complex system rife with chaos and emergent outcomes, maintaining equilibrium for any meaningful duration of time is of course an unachievable goal.

The human body is concerned with maintaining temperature, food, and water within a narrow band, because those parameters are so critical to survival and the minimization of physical disequilibrium. For the markets, the key element is probably a consensus around interest rates, because everyone in the markets has some sort of hurdle they need to meet in order to take on the risk of investing money rather than sitting on it or making other investment choices. For individual stocks, homeostasis revolves around valuations.

When the market has wide divergence in opinions on things like long-term interest rates, or when there are a lot of shocks to the system, its struggle to find homeostasis tends to become more dramatic. In other words, the typical disequilibrium operates in a wide band as price levels are more volatile than when the market can agree on a tighter range of future scenarios for variables like interest rates. This is an overly elaborate way of saying that more unknowns create more volatility, but the key point I want to make is that thinking biologically can give you more context for how markets behave over time.

Humans need a full stomach, a warm fire, and a good night's sleep that isn't plagued by worries over the future. To feel equally sated, the markets need stable leadership, calm geopolitics, and a consensus view of future inflation and interest rates. But, predicting the future of any type of complex system is a fool’s game. So, we humans have learned to stock the pantry, have alternative heat sources on hand, and shelter funds for a rainy day. The markets, in contrast, have a more subsistent existence, digesting news minute-to-minute while never fully satisfied with achieving any level of consensus. Whereas adult humans can understand when they are hungry or tired, markets are more like a crying infant, unable to fully communicate what would calm them down.

When the future is unknowable, the best basic strategy is to own assets that require you to make as few predictions as possible for achieving a desired outcome. That means owning assets that imply a return rate above your hurdle rate without having to know with precision how the world will unfold. That's a challenge if you cannot pin down interest rates to a relatively narrow band, especially when the variables going into inflation are difficult to forecast. That conundrum seems to be what the markets are grappling with today, but it could be a million other things as well. It is complex, after all.

Fortunately, we can return to a few basic first principles that we believe hold true long term: 1) the future is always better than the past; 2) technology is an overarching deflationary force; 3) one person's debt is another person's asset, which impacts the direction of interest rates; 4) humans are innovative and rise to the challenge; and 5) given enough time, optimism always wins over pessimism and cynicism.

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #328

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, free will, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: the importance of recognizing when you are being too dismissive of new information; Shopify's logistics ambitions disappoint; what we can learn from algorithms, the brain's prediction engine, and the illusion of free will; the false narrative of shoplifting; how lightning forms; dino and bug fossils; the anthropic principle; reframing monetary stimulus as a misguided reaction to an aging population; and much more below.

Stuff about Innovation and Technology
PokéMaping Open AR Metaverse
Niantic, the AR game studio, was created under the Google umbrella by Geo/Maps leader John Hanke and spun out in 2015 with Hanke as CEO. Niantic has some wildly successful games, like Pokémon Go, but those AR games are a means to an end: collecting data for its “collaboratively built map” of the entire inhabitable world as a basis for new AR apps. Google drives cars all over neighborhoods, while Niantic leverages humans in search of Pokémon. Hanke believes an AR metaverse (real-world surroundings augmented with digital overlay) is more human compatible, as it supports natural environmental/social interactions vs. more sedentary, isolationist, and artificial VR (see also #309). One of the technical challenges of creating this immersive AR metaverse is advancing waveguides (the invisible-to-the-naked-eye nano structures that reflect light of different colors from the side of AR glasses to create the illusion of a digital object existing in the physical world) for use outdoors in bright sunlight. In this Verge interview, Hanke mentions several recent acquisitions aimed at pushing the tech forward, and he notes that first-gen AR glasses (like those anticipated to be released by a major phone maker soon) could be for indoor use only.

Hanke also discusses his vision of the AR metaverse as an open system à la Web3: “The world is ready to go back to a more decentralized internet built around interoperability. When we talk about the real-world metaverse — which is the version of the metaverse I’d like to see created — I do see it as a system where products and services from multiple companies would interoperate. That theme comes through in the Web3 movement. That desire to pull back from centralized control by a few companies to a more open system that puts more control in the hands of the consumer does rely more on interoperability at its core.” I’ve previously discussed how we’ve vacillated between walled gardens and a more open, search-based web. Currently, we are back to closed social networks, closed app stores, and increasingly hoarded troves of data. A tangent that struck me while I was listening to this interview is that the current capital system could easily be adapted to accomplish most of the Web3 goals without the sideshow of calling for anarchy (a topic I discussed in detail at the end of #323). What matters most in transparent, open systems is the degree to which a company is providing more value than they take, or the amount of non-zero sumness (NZS). This is a powerful concept from game theory that drives long-term outcomes in most evolving complex systems. There are ample Information Age businesses creating more value than they take that operate as traditional equity-based companies without Web3 technologies or systems. A shift from equity to tokenized businesses might bring entirely new and interesting levels of win-win, but it faces a steep cliff of regulatory pushback and behavioral changes. A baby step toward that goal would simply be companies being better citizens and continually creating more for less.

Iger’s Disney Ride Comes to an End
As the legendary Disney CEO Bob Iger wraps up his 47-year career at the company, he’s been on a swan song of a press tour (in a Twitter thread from 2019, I shared my takeaways from Iger’s book The Ride of a Lifetime). This Variety interview is a good one, and, on CNBC, Iger explained one of the factors that contributed to his decision to retire (after several aborted attempts) was his realization that he was becoming too dismissive of people’s ideas: “Over time, I started listening less and maybe with a little less tolerance of other people’s opinions, maybe because of getting a little bit more overconfident in my own, which is sometimes what happens when you get built up.” Iger sums up my single biggest fear as an investor – that I will become dismissive of new ideas, new information, or new perspectives. Keeping up with ever accelerating change in the world requires a constant, conscientious effort to avoid being rooted in old biases. I think about this vulnerability a lot when it comes to topics like Web3 (see above paragraph) which, if realized, would represent a rather profound evolution away from capitalism.

Shopify Intimidated by Logistics Challenge
Businessweek’s Brad Stone wrote a profile on Shopify founder Tobi Lütke. I was disappointed to learn that after announcing, in 2019, the Shopify Fulfillment Network and the acquisition of 6 River robotic warehouse technology, Shopify seems to be walking back its fulfillment ambitions. Nearly all of Shopify’s merchants are too small to handle their own end-to-end logistics, but neither can they withstand the UPS/FedEx strategy of charging more for the same (or less) service every year (see #320), which, taken to its logical conclusion, will effectively hand the entire ecommerce market to Amazon. Meanwhile, Amazon is rapidly expanding capabilities (including an apparent reboot of their merchant platform that competes with Shopify, as mentioned in the article) and capacity (see #324). Lütke’s apparent conclusion is that running a logistics network requires a “ruthless, Amazon-style efficiency” that’s incompatible with Shopify’s culture. He suggests Shopify will do logistics differently, but it's not clear what that means. If I take Lütke’s comments at face value, it seems like the real-world problems of drivers, vans, traffic, and the extreme efficiency needed to get to a sustainable delivery cost per box is too messy of a problem compared to writing ecommerce software. That’s a shame, because it would be a bummer if we end up with only Buy-n-Large controlling most of retail. Back in May 2021, Shopify’s president discussed shipping and logistics with The Verge and still seemed somewhat committed, though they continued to emphasize that their merchants don’t need faster than two-day shipping, and that consumers are very happy to pay for shipping. Even if that’s true, it likely applies to an increasingly small number of very long tail items. Why pay and wait when the alternative is free and fast? It’s possible Shopify is still committed to logistics, but, at this point, anything short of a decades-long multi-$10B investment probably won’t be enough to keep Amazon from accreting market share like an ecommerce black hole. The question is whether the value is in the ecommerce software, the shipping capabilities, or both? One day, many of Shopify’s merchants will be using fulfillment by Amazon when FedEx and UPS have priced themselves out of ecommerce delivery, and it may make more sense for them to ditch Shopify’s software in favor of Amazon. As I wrote in detail about Bezos and Musk at the end of #326, these real-world engineering problems are not for the weak at heart, and there may be only a vanishingly small number of rare entrepreneurs capable of taking them on.

Algorithmic Threat to Illusion of Free Will
To minimize energy input and optimize survival, the human brain evolved as a prediction machine, attempting to anticipate what might happen based on prior experiences, and then adjusting predictions to match input from our seven senses (the traditional sight, sound, touch, smell, and taste along with thoughts and emotions, which are best perceived as sensory inputs). One of the predictions our brains have to make is how other people will behave. And, of course those other people have their own neural algorithms making the same types of predictions about others as well. Historically, we’ve lived in small tribes with many shared experiences, and that’s important because the main factor the brain uses to make future predictions is prior knowledge. When people have a shared culture and common history, then they are likely to make more similar predictions, which makes life, well, more predictable. In the global, always connected world, we increasingly lack a common culture (see Digital Tribalism), which makes it more complex for the brain to predict the behavior of others.

Adding to this prediction complexity, we are now operating alongside a growing number of algorithms that are also making predictions about us and others based on prior behavior. These algorithms might determine whether your rental application/work resume is considered, who you date, what news you read, what medical care you receive, etc. Last week, the WSJ reported that more than 30,000 US churches are using data amassed by Colorado-based Gloo to recruit new members by targeting vulnerable individuals whose stats suggest they are experiencing personal struggles. For example, churches can home in on people who Gloo identifies as going through a divorce (based on connecting up credit card activity, travel bookings, and health attributes). Your browsing data might cause you to become a Baptist, a Catholic, or enter a rehab center depending on who pays the most for your data and is able to influence your brain’s future decisions through social network ads. Algorithms now even cause us to smile less, according to Allure Magazine, as people emulate the growing trend of influencers who emulate the models who stopped smiling in the 1990s for a variety of reasons.

This clash of complex prediction engines puts a spotlight on our already tenuous relationship with the concept of free will. While we feel like we have agency over our actions, neuroscience has informed us that the brain typically makes decisions well before we are consciously aware of them. In a small, isolated community, it’s perhaps easier to maintain that all important illusion of free will because everything seems more predictable and rational. But, there are two ways this new complex set of interacting prediction engines highlights the illusory nature of free will. First, because we increasingly lack common culture, we can now see many other people making decisions that we simply don’t understand (and they, in turn, may view our decisions with the same confusion!). Second, we are becoming more aware that black box algorithms beyond our control are making decisions and predictions that impact our lives, sometimes in profound ways. These external algorithms, it turns out, are not that dissimilar from our own internal neural daemons – they just have different inputs and programmers. Our brain is doing its best to guess it’s way through life in a way that preserves its all-important vessel (that would be us), based on information at hand from prior experiences, all the while giving our conscious self the sense that we are in the driver’s seat. The state of our free agency, however, is not completely as hopeless as it might sound. A couple weeks back, I mentioned Lisa Feldman Barrett’s suggestion that the best way to gain some control over your brain’s decision making process is to actively change your behavior today so that, in the future, your brain has new sets of patterns on which to base predictions. Put simply, good habits can pay off for your own behavior. But, what about the increasing control that these enigmatic external algorithms wield over our futures? There are no good habits we can adopt to alter their impact on our lives without completely forgoing use of technology.

With more and more black-box algorithms interacting and influencing us, I see five ways to respond to this increasing lack of predictability and control in modern life: 1) try to imagine – and then follow – good intentions and habits you want your future self to use as prediction-engine inputs; 2) try to create a landscape for good luck to come knocking, or, at the very least, learn to see good luck when it comes your way (e.g., by cultivating mindfulness as discussed in our essay: Time Travel to Make Better Decisions); 3) build adaptability into as many aspects of your life as possible so that you can respond flexibly no matter what unpredictable things happen; 4) realize that bad luck is just as likely as good, and if you see someone who is missing out on good luck, try to help them; and, lastly, 5) cultivating an awareness of these prediction machines, whether it’s your brain, someone else’s brain, or an external algorithm, gives great perspective on daily life.

Miscellaneous Stuff
Illuminating Lightning
It’s been 270 years since Benjamin Franklin flew a kite into a lightning storm, and we still aren’t quite sure what the genesis of lightning is. There are two primary theories, and recent radio telescope experiments have put evidence behind one of them. First, the theory that is not supported by the new data is that cosmic rays collide with electrons in clouds, which triggers a strengthening of the electric field via electron avalanches. Instead, the data suggest: “Turbulent collisions between the needle-shaped crystals brush off some of their electrons, leaving one end of each ice crystal positively charged and the other negatively charged. The positive end draws electrons from nearby air molecules. More electrons flow in from air molecules that are farther away, forming ribbons of ionized air that extend from each ice crystal tip. These are called streamers. Each crystal tip gives rise to hordes of streamers, with individual streamers branching off again and again. The streamers heat the surrounding air, ripping electrons from air molecules en masse so that a larger current flows onto the ice crystals. Eventually a streamer becomes hot and conductive enough to turn into a leader — a channel along which a fully fledged streak of lightning can suddenly travel.” Interestingly, lightning activity dropped 10+% during the first quarter of pandemic lockdown, likely due to reduced pollution levels affording fewer nucleation loci for ice crystal formation.

We Exist ● Because We Can ● We Exist
The anthropic principle is a bit of a circular reference that states humans are here in this Universe, governed by this particular set of physical laws, because these laws have allowed for conscious humans to exist. It follows that it shouldn’t be a surprise when we probe the laws of physics of this Universe and discover that they (potentially uniquely) allow for our existence. The so-called “weak” interpretation of the anthropic principle is a form of selection bias: essentially, of the many universes that could have existed (or exist alongside our own), we’re in the one we’re in because it allowed for us. In an interview with CERN Courier, cosmologist Edward Witten reflects on the discovery two decades ago that the universe is expanding (infinitely) and the more recent Higgs boson particle discovery: “Unfortunately, it has been very hard to find a conventional natural explanation of the dark energy and hierarchy problems. Reluctantly, I think we have to take seriously the anthropic alternative, according to which we live in a universe that has a ‘landscape’ of possibilities, which are realised in different regions of space or maybe in different portions of the quantum mechanical wavefunction, and we inevitably live where we can...I suppose I reluctantly came to accept that the universe was not created for our convenience in understanding it.” Witten allows for the possibility that naturalness might prevail – that we just haven’t yet observed the additional particles and forces that would give us a ‘unified theory of everything’ because they are beyond the reach of our current particle accelerators.

Headlining Crime Wave Doesn’t Hold Water
The Atlantic digs through the numbers to show that the supposed shoplifting/robbery crime wave is not supported by the data. There are many factors creating an illusion of more crime, including the rising prevalence of security cameras and smartphones supplying media fodder, retailers fear mongering in an attempt to get legislative and public money support, and law enforcement lobbying. While there is a y/y increase in crime for 2021 in some areas, that’s largely because of lockdowns and retail closures in 2020. When you compare data to 2019, crime is down. And, there is no evidence the large shoplifting scenes that have garnered much media attention are organized, despite law enforcement and retailer speculation. Behind the attention, retailers are opportunistically lobbying for stricter laws and public funding support. The LA Times further reports on the largely fungible and hard-to-pin-down claims made by retailers about increased amounts of theft, while FBI data for the country show a five-year decline in shoplifting. With an increasing amount of high value merchandise inconveniently going behind locked cabinet doors, the case for ecommerce and home delivery gets stronger.

China’s Fossil Fame
A 70M-year-old, rare, complete skeleton of a baby dinosaur inside an egg re-discovered at a stone company in China, after apparently being forgotten about, reveals an in-ovo “tucking” posture consistent with the modern day dinosaurs that we call birds. This pre-hatching behavior was thought to be unique to birds but could go back hundreds of millions of years. Many avian-related dinosaur fossil discoveries have been made in China in recent years as part of a gold rush in fossil hunting, thanks to a bounty of locales that were serendipitously conducive to fossil preservation. The boom has also come with an accompanying streak of counterfeits, as Smithsonian Magazine reported back in 2018. The perfect egg in this case was detailed in a peer-reviewed paper in iScience, which perhaps lends it modestly more credibility.

Monster Millipede
In other fossil news, a 326M-year-old, partial skeleton of a 2.7-meter-long giant millipede was discovered in northern England. Many giant insects roamed and flew above earth several hundred million years ago, theoretically due to higher atmospheric oxygen concentrations of 30+% compared to today’s 21%. It’s theorized that the onset of birds (or flying dinosaurs, depending on your disposition) 150M years ago started to curtail the giant bug population. The lack of fossils makes for much speculation, but, regardless of what initiated their disappearance, I’m rather grateful giant insects were relegated to the fossil record prior to our arrival on scene.

Stuff about Geopolitics, Economics, and the Finance Industry
Shake Shimmy
Before the pandemic, we published a paper titled The Evolution of the Meal. The essay was as much an effort to think about the changes facing the multi-trillion dollar food industry as it was an exercise in trying to analyze more generally what matters when an industry goes from analog to digital. Of course, at the time, we had no idea the restaurant industry was about to face one of its largest upheavals and potential accelerants for digital transformation. Back in 2019, I spoke to author and reporter Corey Mintz, who had read the paper and was working on a book about the food supply chain and restaurant industry. Mintz’s book, The Next Supper, is an exploration of various restaurant business models and how they are evolving. One of my speculative conclusions from our paper was that transforming delivery into a viable, large market opportunity would require a vertically-integrated, subscription-based, and milkman-like routed delivery system (and, even if such a system were to be implemented, the ultimate size of its market share would be open to question). Mintz’s book was recently published and looks to be an interesting read on the food industry. I’ve vainly only read the chapter so far that connects to my conversation with Mintz and was reminded of my Shake Shimmy comment: “Brad Slingerlend, cofounder of investment firm NZS Capital, doesn’t see any value being added in the delivery-app racket. He does see potential in the tech companies’ ability to vertically integrate the food brands they distribute…‘Do I want a Shake Shack burger, or do I just want a good burger? If all I want is just a good burger, delivered in a way that’s fresh, then I don’t care if it’s Shake Shack or Shake Shimmy by Uber.’”

Crypto Bulls' Real Concern: An Aging Population
Long-time readers know I am a nut for demographics. While I love searching for explanations and patterns, I also know that the hunt is largely futile because the world is too complex for neat and tidy explanations. Over longer periods of time, however, sometimes patterns seem real and explanatory. The anemic US population growth, at a record low of just 0.1% in 2021, is one demographic topic I am overly obsessed with. It’s a consequence of a complex combination of anti-immigration policies, younger generations delaying marriage and having fewer kids, and all sorts of other impossible-to-pin-down shifts that seemed to start with an aging group of Gen X’ers and continued with Millennials and Gen Z. And, it's impacting all developed economies to various degrees. Further, slowing population growth is connected to sluggish household formation, which is at 9% for the last decade – the lowest growth on record since data collection began 160 years ago.

Population and household formation are key long-term drivers of economic pie growth. Households with parents in their thirties, forties, and fifties are the biggest driver of consumption, especially in households with children under 18. Without these critical consumption enablers, the pie has a much harder time growing, and instead will be redistributed in a way that either increases or decreases inequality. Growth in population also spreads out the burden of eventually repaying the debt that GDP increasingly relies on for growth. Broad-based economic growth is a relatively new phenomenon in human history, enabled over the last ~500 years by lending, the scientific revolution, and capital investments based largely on hope for a larger future pie. Over the course of modern human history, this growth may turn out to be more of an aberration than a natural state.

Beyond trying to mitigate economic cycles, monetary and fiscal stimulus is another way to grow an economy if population growth isn’t pulling its weight. Excess twenty-first century governmental fiscal and monetary stimulus could be viewed as an attempt to artificially buoy an economy whose real battle is a decelerating population growth (although few politicians have publicly made the connection between a sluggish economy and slowing population growth; also, here I am discussing monetary policy interventions, which should not be confused with the natural trajectory of declining rates). Seen from this perspective, it becomes more obvious that while anti-inflation crypto bulls are raging against governments printing money, they might be missing the root cause of those printing presses: an aging population and its negative consequences for economic growth. Speaking on the Lex Fridman podcast last week, Elon Musk expressed an interesting take on an information theory of money, and how crypto wants to change it:
“The government effectively has editing privileges on the money database. And they use those privileges to make more money whenever they want. And this increases the error in the database that is money. Money should really be viewed through the lens of information theory. Like an internet connection. Like what's the bandwidth, total bit rate, latency, jitter, packet drop, errors in network communication...what system from an information theory standpoint allows an economy to function the best? ...Crypto is an attempt to reduce the error in money that is contributed by governments diluting the money supply as a pernicious form of taxation. People think of money as having power in and of itself. It does not. Money is information...money is a database for resource allocation across time and space. In what form should that database be most effective?”
This explanation from Musk needs to go a step further back in the causal chain: crypto isn’t necessarily an attempt to keep governments from diluting the money supply, it’s an indirect expression that we should address the reality of an aging population rather than printing money to artificially grow the economy. Either that, or an expression that wealth as it exists today should be redistributed in a different way than it would naturally follow.

As I said at the start, it's nearly impossible to ever know what the outcome of complex demographic trends are, but an aging population and weak household formation are important to keep an eye on. There is still no reason to be pessimistic or cynical. Increased productivity and technology can be powerful engines of progress even without meaningful population growth and without risk of inflating the money supply. A shift from growing-the-pie mentality to instead making the economy more efficient is likely to be far more fruitful than a theological battle between sovereign vs. crypto currencies.

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #327

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, tardigrades, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: Minecraft passes 1T views on YouTube; The Matrix Awakens; remote worker monitoring and the potential productivity boom for white collar jobs; Apple wants to track your location to keep people from stalking you with AirTags, and it's maddening; Facebook says "it's not us, it's you", demonstrating a complete lack of awareness about their own product and business; how to nudge your not-so-free will; and much more below.

Stuff about Innovation and Technology
Minecraft’s Storytelling Success
Minecraft crossed one trillion cumulative video views on YouTube. The feat accomplished by the virtual world building game, owned by Microsoft, is testament to a highly engaged user community. Minecraft’s chief storyteller explains: “The reason why Minecraft has been so successful on YouTube is because YouTube videos are a way to tell stories. So, then when you have Minecraft, and you can tell any story you want in a Minecraft world, it’s a big reason why we have so many people creating Minecraft content.” In 2020, Minecraft had 200B views – more than twice the count of second-place Roblox.

Jiggling Mice
Mouse jigglers are a growing category of devices used by remote workers to keep their mouses moving and thus avoid “away” status flags. The invention is a reaction to the nonstop surveillance of some remote workers that is testing people’s sanity. Clearly, the necessity of such a solution underscores a much bigger issue with how many companies are approaching remote work, focusing on presence rather than productivity. Better.com’s CEO recently came under fire for laying off 900 workers over Zoom, later claiming that company software showed many of them were working only 25% of the hours they were logged in for. The CEO, who apparently has a track record of insensitive comments, is now taking some time off. It's possible that we see a productivity surge (and accompanying wave of layoffs) as companies find out that many white collar jobs can be done in a fraction of the time when you eliminate unnecessary meetings, hallway gossip, office distractions, etc. For the remaining jobs we'll also see software continue to monitor and assist people as they work, further increasing productivity.

Head ‘Em Up, Move ‘Em Online
Biden has signed an executive order asking 17 government agencies to take their services online. The goal is to improve public access to services for the agencies with the highest friction interactions and reduce the “time tax” for such things as applying for a passport, filing taxes, etc.

Apple Compounds Privacy Failure
Due to the serious privacy and safety concerns of Apple’s AirTags, the maker of China-built phones would like Android phone users to download an app to track the secret presence of potentially nefarious AirTags. Or, how about this Apple: why not shut down AirTags instead of making them other people’s problem? Apple’s insane spin on urging people to download the Android app, which I find freaking hilarious, is: “We are raising the bar on privacy for our users and the industry, and hope others will follow.” The new Apple AirTags Android app can also track your precise location when in use. It’s rather mind-boggling that Apple would create a device that enables stalking and then 'resolve' the issue with an anti-stalking solution that can also be used to stalk you. This is the logic of Apple, and it's what happens when you put profits well ahead of user experience. But, probably no need to worry…surely Apple and their China-built hardware is 100% trustworthy with your potentially sensitive location data.

Shop the Look, Shop the Ad
Amazon Prime Video is offering a “shop the look” feature that tries to find similar clothes to a movie/TV character whose look you want to emulate. Amazon is also making video ads on Fire TV devices shoppable with one click from the remote. The TV ad industry has been talking about interactive, customizable ads for decades, and their vision is finally beginning to come to fruition. Thanks to its giant ecommerce business, Amazon has an advantage in shoppable TV vs. other connected video devices.

When Fees Become Vulnerabilities
In response to more consumer friendly challenger banks, like Chime and Step, Capital One is eliminating overdraft fees. The move is said to “cost” the firm $150M a year. The WSJ reports that US banks will earn $33B in fees and charges this year, which disproportionately impact low-income households. During a recent investment team discussion, Brinton said that the banking industry’s profitable fee system reminded him of how much Blockbuster made off of late fees back in the days before streaming. Indeed, Blockbuster made $700M a year in late fees, which was 15% of their revenues (and a much higher percentage of profits) at the time. The fees turned into a liability, with disruptor Netflix’ no-late-fee policy being one of the big advantages of the DVD-by-mail service. Rather than stacking fees upon fees for people who cannot afford them, app-based challenger banks can proactively warn people when they are in danger of overdrafting rather than waiting for the gotcha moment. I’m not defending people who overdraft their bank accounts, but clearly the analog-to-digital transition for many industries creates an opportunity to use technology to provide a better customer experience – one that offers customers more for less. Fees are not competitive moats, and they turn into a significant vulnerability in the transparent Information Age. When you look at just how much money is made by companies who choose not to help their customers out, there are a lot of vulnerable profit pools just waiting to be attacked across the economy.

What’s Real? Does it Matter?
“I understand that I don’t understand.” That’s how Carrie-Anne Moss responds to a question on virtual reality technology as she contemplates the shifting forms of entertainment and the impact on real life in this Verge interview about Epic Games’ Unreal Engine demo world, The Matrix Awakens. In the Epic experience, players are made to question which characters were filmed vs. rendered. The world features over 38,000 drivable cars, 35,000 simulated pedestrians, and over 10 million digital assets spread around a virtual city the size of Los Angeles. In the interview, Keanu also makes the humble plea: “Can we just not have metaverse be, like, invented by Facebook?” Amen bro.

If Facebook “Only Had a Brain”
In an Axios on HBO interview, Facebook’s VP of AR/VR, Andrew Bosworth, blamed people rather than the company’s own algorithms for the amplification of society’s problems: "Individual humans are the ones who choose to believe or not believe a thing. They are the ones who choose to share or not share a thing.” This is such a wild misunderstanding of how the human brain works that, if he really believes what he’s saying, then we should be absolutely terrified of every Facebook product. The strawman, or perhaps more accurately scarecrow, argument being touted here is essentially this: just because someone uses a rock to bash someone else’s head, you can’t blame the rock. It’s the same argument Amazon’s CTO, Werner Vogels, has used in the past when he said that society doesn’t blame steel makers for gun deaths, therefore Amazon isn’t responsible for what their technology – like the AWS facial recognition engine – is used for. This type of reasoning contains a massive logical misstep in that it equates raw materials, like rocks or steel, with technology invented by humans. The rock was not created by humans with the intention of making other humans angrier and thus more likely to pick up the rock and use it for bad things, all in the name of selling advertisements. But, that’s exactly what Facebook is: an engineered tool designed to make people more likely to pick it up to bash someone’s head, minting money for Facebook in the process. The level of tone deafness at Facebook is truly stunning. I am not saying people aren’t to blame; rather, humans have an innate proclivity for tribalism, and the way to help out people and the planet is to fight that tendency rather than amplify it and pretend like it’s not your fault. Humans are flawed, and our brains evolve at the speed of biology, while technology is racing ahead faster than we can adapt. A better idea than blaming people would be to use technology to improve lives, not make them worse.

Miscellaneous Stuff
New Experiences Expand Free Will
Your brain operates by making predictions about what might happen based on past experiences available for reference. Choices made based on these predictions occur before we are consciously aware of them, but we are still left with an illusion of free will and agency. If you are concerned about your lack of free will, which I’d suggest you probably should be, neuropsychologist Lisa Feldman-Barrett explains that increasing your new experiences on a regular basis will shift the number/type of references your brain has for making predictions, granting you the opportunity to shift choices to more desirable outcomes: “You are continually cultivating your past as a means of controlling your future. This may be a form of free will, but it’s extended over time and therefore different from how we usually think about free will in the moment. If you practise a skill, whether it’s riding a bicycle, or talking to someone who believes things that you abhor, you hone your brain’s predictions until that skill becomes automatic and likely to be repeated. With practice and a little investment of energy, you can make some automatic behaviours more likely than others and have more control over your future actions. Perhaps not as much control as you might want, but more than you might think.” I wrote more about predictions and consciousness in #312.

Entangled Tardigrade
Scientists successfully entangled a living tardigrade and two superconducting quantum bits (PDF). It’s the first experiment to entangle a life form, made possible by the fact that tardigrades can survive exposure to extremely low temperatures. The research group set out to invalidate Bohr’s 1933 claim that quantum experiments could never be performed on living organisms. The catch, however, is that the current entanglement only worked because the tardigrade was capable of going dormant for the duration of the experiment. So, we are not much closer to using quantum entanglement to beam humans from planet to planet.

Plastic-Fueled Bacteria
As plastic waste accumulates around the world, nature is responding with an increasing number of microbes capable of consuming plastic. In a recent survey of microbial genes sampled from around the globe, some 30,000 enzymes able to break down ten different types of plastics were discovered. The more plastic in the environment, the more enzymes were found, as the plastic-chomping organisms evolve to take advantage of the 380M tons of plastic produced a year. It raises the question of what happens if one of these adaptable species becomes particularly voracious and goes after non-waste plastic, like the ubiquitous stuff in walls, cars, electronics, etc.? Scientists are also creating enzymes to target specific waste products, like single-use plastic bottles.

Stuff about Geopolitics, Economics, and the Finance Industry
How to Boost Labor Participation Beyond Wage Growth?
For thirty years up until around 2010, the growth in the US population of working-age adults (20-64) averaged over 1.5M new entrants to the marketplace a year. This was a combination of births (on a trailing twenty-year basis) and immigration. Starting last decade, the number dropped to under 1M, and then, in 2020, it went to ~zero. Population growth for working-age US adults is now projected to hover around zero for the next several years (there is a nice visual here in this Tweet from JBREC). Depending on the immigration situation, if other trends persist, growth could turn negative, resulting in a meaningful decrease in the working-age population. It’s a fairly simple math problem: you take births from two decades ago, retirements from Boomers (and ongoing excess deaths from COVID), and the gap in immigrants (around 1M people missing from the labor force each year compared to historical trends pre-Trump), and you have an explanation for the current – and future – labor shortage.

I know I have become a broken record on this topic, but absent a significant productivity boom, a surprisingly accelerated use of automation (for blue and white collar jobs), or a stunning reversal in immigration policy, I think we should expect that numerous industries will experience significant shortages and changes in service levels and/or how jobs are done in the near future. Of course, a shrinking workforce and increased retirees also means a decrease in consumption, which is not a particularly rosy economic outlook. Incentives to increase labor force participation beyond higher wages might be needed. For example, a reduction in income tax would be a nice way to boost after-tax wages. What other incentives through employers or from the government could increase the desire to work? Perhaps a shift to a standard shorter work week? Japan and Australia have seen much better work participation rates without wage increases (in contrast to the US), according to the WSJ. One explanation for that outcome is that, during the pandemic, Japanese and Australian government stimulus was tied to employers rather than workers, disincentivizing quits. It seems like there is something more (perhaps existential ennui?) behind the lower US labor participation than direct-to-citizen economic stimulus. Nonetheless, we are left with a situation in which several complex factors have combined to create a prolonged period of labor shortage in the US. If we look back to the mouse jigglers, an anticipated surge in productivity will be a major complicating factor for white collar worker demand. There is one future that looks stagnant and bleak with tech-driven job losses, but there are many other more likely futures where the economy continues to adapt and create new jobs, services, and opportunities as the nature of work evolves alongside technology.

SITALWeek will be off next Sunday🎁, we'll see you again in 2022.

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #326

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, Lagrange points, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday Email.

In today’s post: the power law in advertising share; location tracking and the rising use of ad-hoc wireless networks; the possibility of capturing data center heat; DeepMind's new language model is 25x more efficient; fake vs. real 🎄; the James Webb Space Telescope; the dearth of successful companies transforming complex, analog industries; and much more below.

Stuff about Innovation and Technology
RollerBot
Wheel-legged robots have canid/humanoid form factors but with wheels instead of hands or feet. The wheels can be locked and unlocked on demand, allowing the robot to walk on two or four limbs, or drive like a car. An example is ANYmal from Swiss-Mile, which has a Jetsons-like feel to it, and is sort of adorable as it flails from quadruped to biped – a maneuver (video) that apparently takes a lot of physical space to accomplish.

Advertising Trifecta
Google, Facebook, and Amazon have doubled their share of the advertising industry over the last five years, according to GroupM data reported in the FT. The three now garner half of the ads outside of China. The global ad industry (including China) is set to hit around $763B in 2021, up 22% from 2020 and 19% from 2019. Digital is around two-thirds of the $763B market, with Google, Facebook, and Amazon controlling around 90% of it outside of China. It’s perhaps even more remarkable to add up the market cap associated with that 90% share. If we attribute the vast majority of Google and Facebook’s market value to their ad business and part of Amazon’s retail business (I’ll use a round number of $500B for Amazon, which is proportional to their advertising market share relative to Facebook and Google), that’s around $3.3T in market value derived from several hundred billion in annual advertising revenue at the three companies.

Family Safety App Serves Up Tracking Data
Family safety app Life360 has been tracking and selling the precise location data for its 33M users, including kids. In defense of the policy, the CEO said: “We see data as an important part of our business model that allows us to keep the core Life360 services free for the majority of our users, including features that have improved driver safety and saved numerous lives.” Apparently, the Life360 CEO learned everything he knows about business ethics from Madison Hotels’ Eric Gordon.

AirTags Enabling Car Theft
To add to your location-tracking phobia, Canadian police are warning that car thieves are surreptitiously affixing Apple AirTags to high-end vehicles to track them back to the owner’s garage and then steal them. I mentioned the proliferation of these ad-hoc wireless networks back in #296. With the current issues of compromised privacy, it’s not clear to me that the costs of tracking devices outweigh the benefits. Data hungry Life360 is acquiring Tile, one such ad-hoc tracking device network who assures users they do not sell location information.

Capturing Data Center Heat
Bitcoin mining company MintGreen runs their servers immersed in a non-conductive coolant that allows them to siphon off heat, reportedly recouping 96% of mining energy. Each server generates enough energy to heat 350,000 square feet of space. MintGreen will be partnering with Lonsdale Energy Corporation (LEC), a city-owned utility in North Vancouver that uses geothermal heat pumps and natural gas boilers to heat water that provides radiant heat to 7,000 apartments. By using MintGreen’s harvested thermal energy instead of natural gas boilers, LEC expects to save 20,000 tons of carbon over 12 years. Facebook is recovering 100,000 MWh of energy at a data center in Denmark and Amazon is partially heating their Seattle headquarters from a nearby data center. Examples seem to be few and far between, and it's not clear to me why we don't see more of this effort to recycle heat generated in data centers globally.

Look-Up AI
Google’s DeepMind has devised a way to use a look-up system for a large language model. The results are a staggering 25x improvement in efficiency over the current method. RETRO, as it’s called, uses only 7B parameters compared to OpenAI’s GPT-3 (with 175B) or Microsoft’s Megatron (with 530B). It’s this parameter reduction (by two orders of magnitude!) that affords the improved training/performance. To compensate for the smaller neural network, RETRO has a database with 2T passages of text it can access when it comes across something similar. It’s also easier to track how and what RETRO learns based on its database access history, making the look-up system less of a black box than other language models and potentially allowing researchers to monitor and edit out bias and offensive phrasing.

AlphaFold’s Omicron Analysis
In other DeepMind news, researchers have used the company’s AlphaFold tool to model in silico the antigen-antibody interactions between Omicron and four antibody variants obtained from infected patients. The study suggests that, despite notable mutations and somewhat reduced binding affinity, Omicron’s conformation is still similar enough to prior SARS-CoV-2 variants that it can’t completely avoid detection and neutralization by the immune system.

Miscellaneous Stuff
10-Year Carbon Crossover for Fake Trees
Apparently, fake Christmas trees are only more environmentally friendly if you use them for at least a decade, according to the Guardian. That’s when the 40 kg of greenhouse gas emissions crosses over with the 4 kg from a chop-em-down type tree. The study did not take into account the costs for when you hastily cut down a tree in your front yard and end up with a wild squirrel running around the house.

JWST Launch: T-Minus 10
The James Webb Space Telescope is finally ready for liftoff on December 22nd. I wrote about the project, which should allow us to glimpse the Universe in its youth a few hundred million years after the Big Bang, back in #309 (reprinted below), and this recent article in Quanta Magazine has a lot of great info on the project.
After 25 years and $10B, the 7-ton James Webb Space Telescope (JWST) is nearing its launch into heliocentric orbit 1.5M km beyond Earth, from where it will take the deep space exploration helm from the 30-year-old Hubble. Once deployed, “eighteen hexagons of gold-coated beryllium mirror will open out, like an enormous, night-blooming flower. The mirrors will form a reflecting surface as tall and as wide as a house, and they will capture light that has been travelling for more than thirteen billion years.” The JWST will orbit in line with the Earth/Moon so the mirror array can be isolated from radiation generated (or reflected by) the Sun, Earth, and Moon via a tennis-court-sized parasol. To keep the telescope out of the shadow of the Earth/Moon, it will also orbit the 2nd Lagrange point (L2) on the far side of Earth perpendicular to its heliocentric orbit (see embedded animation). Ball Aerospace made the mirrors and cryogenic actuators that can move each mirror and curvature to within 1/10,000 the width of a human hair. The more light we can collect, the deeper and longer we can stare back into time – potentially 13.5 billion years – toward the beginning of the universe as we know it, some 14 billion years ago. Unlike the Earth-orbiting Hubble, which could be repaired and upgraded (Ball Aerospace fabricated instruments to fix its fuzzy focus, among other improvements), the JWST will be beyond our physical reach, so let’s hope for a flawless deployment.

Adaptability Key to SNL’s Longevity
Saturday Night Live debuted when producer Lorne Michaels was 30. Now, 46 years later, the show is the longest running on television next to The Tonight Show, which Lorne now also produces. In a feature on Michaels in the Washington Post, they describe the backdrop for the first season: “Both Nixon and Saigon had fallen in the preceding 14 months. The United States was stagflating; New York teetered on bankruptcy. ‘Saturday Night,’ as the show was first called, was designed to give rebellious voice to young baby boomers and revolutionize comedy the way the Beatles had blown up pop music.” We humans seem to perpetually exist in a state of crisis (whether major or minor, real or imagined), and comedy is always there to shine a light on the absurd, to point out the obvious, and to carry us forward on a wave of laughter. The only way for something to survive in the public eye as long as SNL has is by adapting and evolving, and Seinfeld describes it best: SNL is “amoeba-like in its ability to shift and react and survive in the ‘toxic and self-correcting ecosystem of comedy’ — all due to one man’s vision and work ethic.”

Stuff about Geopolitics, Economics, and the Finance Industry
NZS in Complexity Investing Spotlight
Simon Evan-Cook writes in Wealth Manager about complexity science as the next investment frontier, featuring NZS Capital as one example of a firm tapping complex systems to think about investing:
“One good example, from a team who have written the paper on complexity investing, is the £29m Jupiter Global Equity Growth Unconstrained fund. Beneath this unassuming name is a process run from the US by Brinton Johns and Brad Slingerlend of NZS Capital.
NZS stands for non-zero-sum, which is integral to complexity science and NZS’s process.
It’s part of a concept known as ‘emergence’ in complexity circles. Emergent means greater than the sum of its parts. The idea doesn’t lend itself well to spreadsheets, as it often hinges on intangible factors, such as culture, trust or relationships. These things are crucial, but live between and beyond the data – so they are missed by many fund managers.
NZS looks for companies that benefit not just themselves, but their wider ecosystems too. Drug companies that abuse their monopoly-supplier status to gouge unfortunate customers are out, as are firms whose environmental costs outweigh their benefit to society. But sustainable companies that are instrumental in growing their customers’ and suppliers’ businesses, and so create as much value for them as for themselves, are in.
The firm believes that holding such high-quality companies, but selling them when they start to get become win-lose greedy, is key to antifragile returns.”


Innovation ETF
Congratulations to Harbor on the launch of their new Disruptive Innovation ETF. NZS Capital is pleased to partner with Harbor as one of the five managers contributing to the portfolio.

Amazon and Tesla: Strangers in a Strange Land
A lot of the innovation we witness in the world around us is largely software- and data-driven. It frequently involves just replacing an analog interface with a new digital one without actually transforming the underlying industry. A good example of that would be travel booking, an industry that transitioned from human travel agents to online bookings, without much changing under the hood (many of the exact same booking engines in the background have been running for several decades). It’s nice that it’s more convenient to book a hotel, but it’s not revolutionary. Two businesses, Amazon and Tesla, stand out in the ways they have not only innovated in software but transformed complex, analog industries.

Amazon grew their logistics business steadily from the start of the century until 2019, and then they doubled it over the last two years. It’s as if the world is not moving fast enough for Amazon, so they are willing their own future growth into being by buying (or building) warehouses, outfitting data centers, building their own overseas shipping containers, buying all the vans they can, hiring everyone they can, and raising wages across the US while they are at it. A widespread outage in the ubiquitous Amazon Web Services ground to a halt many business dealings (including Amazon’s own) in the US, and had such far reaching consequences that some people’s WiFi auto cat feeders stopped dispensing food for feline companions. The head of Amazon’s retail recently said that, by 2022, they would become the largest shipper in the US. In contrast, FedEx and UPS, companies that once claimed Amazon as a large customer, appear rudderless, offering customers the same service for more money as they listlessly circle the drain. Amazon is effectively setting the pace for many parts of the economy (not just in retail and logistics – e.g., Graviton3 is their new leading-edge data center chip) and no one else is keeping up with them, at any level of scale. It’s not entirely clear anyone is really trying that hard either. Maybe it’s institutional inertia – the paralysis Buffett warns against that keeps companies static and risk averse. As Amazon becomes more vertically integrated, hires more people, and buys more warehouses and land, they are effectively driving up the cost of doing business in their industries for every would-be competitor. The WSJ article on wages notes how ecommerce pet supplies company Chewy has struggled to keep workers in locations that are in geographic proximity to new/expanding Amazon warehouses. Chewy further noted on their earnings call last week that their shipping partner is raising costs on them in January, a move that will impact margins negatively in 2022 (this is the exact problem I’ve been trying to point out regarding FedEx and UPS: they are harming their customers to a point where those customers could lose out to Amazon, leaving the legacy shippers eventually with no customers, which is short termism and negative-sum behavior).

Like Amazon, Tesla has dramatically pulled away from their competition. They continue to generate reams of data to feed their AI as they improve autonomous functionality and rapidly expand battery manufacturing capacity, leaving the rest of the auto industry looking rather embarrassed. And, Musk’s SpaceX business is setting all sorts of new benchmarks for rockets and space-based Internet, leaving traditional aerospace contracts stuck on Earth. It seems like legacy auto makers have held as many press events as SpaceX has launched satellites, always proclaiming they will dethrone Tesla but without a shred of tangible evidence to back up their bravado.

It’s as if the world is frozen, save Amazon and Tesla. What’s surprising about their blistering growth is how atypical it is for non-software companies to achieve. Amazon and Tesla leverage plenty of software, but, by and large, they deal with messy, complicated, real world things – objects, people, commodities, extremely complex manufacturing/physics, etc. We expect this type of accelerating progress more from a purely software business, such as Google’s search engine. To achieve this type of growth in sectors that require the interface of the analog and digital worlds is remarkable.

I talk a lot about the transition from analog to digital – from the Industrial, to the Information, to the AI age. Amazon and Tesla are at the leading edge of this transition, and we hypothesize that we will see digital leaders emerge in other sectors/industries. However, the rollover isn’t inevitable by any means, especially for non-data-centric businesses. And even some data-centric sectors – like finance and healthcare – remain mired in the analog world. As we wrote in Pace Layers, regulation can be an impediment to change. Indeed, regulators have been long-time party crashers for finance and healthcare, yet have been late to the party for media, retail, and autonomous driving, leaving Amazon and Tesla to grow unfettered. Maybe that is part of the explanation for their success. We are seeing some fairly large digital finance businesses built, but it’s a wide open question as to whether they will survive the regulatory gambit.

If the underlying process (not just the interface) of a business is rooted in the Industrial Age, then the transition is more complex – as Zillow can attest. Their recent strategy shift was due (at least in large part) to the messy nature of trying to herd contractors into fixing up a house while simultaneously dealing with a complex financial market, interest rate risks, macro factors, and more. Energy is another messy, analog industry that’s struggling with massive logistical hurdles in storage, grid improvements, etc. in its bid to go digital. And yet, Amazon and Tesla have successfully dealt with some equally impressive analog hurdles, so what sets them apart? Vertical integration? Lack of regulation? Was the role of luck, timing, or some other unknown factor much more important than we might think? Does it come down to the personality of the lead entrepreneur – does breaking out of analog shackles require a higher risk-seeking propensity as well as creative genius? Will we wait decades for the next digital Einstein to emerge in finance, healthcare, or energy? Are Amazon and Tesla anomalies, destined to take over (and possibly evacuate) the planet in Buy n Large fashion? Or, is it just a matter of time before we see more transformational companies and leaders pulling the analog world into the digital future?

✌️-Brad

Disclaimers:

The content of this newsletter is my personal opinion as of the date published and is subject to change without notice and may not reflect the opinion of NZS Capital, LLC.  This newsletter is an informal gathering of topics I’ve recently read and thought about. I will sometimes state things in the newsletter that contradict my own views in order to provoke debate. Often I try to make jokes, and they aren’t very funny – sorry. 

I may include links to third-party websites as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by NZS Capital, LLC. If you choose to visit the linked sites, you do so at your own risk, and you will be subject to such sites' terms of use and privacy policies, over which NZS Capital, LLC has no control. In no event will NZS Capital, LLC be responsible for any information or content within the linked sites or your use of the linked sites.

Nothing in this newsletter should be construed as investment advice. The information contained herein is only as current as of the date indicated and may be superseded by subsequent market events or for other reasons. There is no guarantee that the information supplied is accurate, complete, or timely. Past performance is not a guarantee of future results. 

Investing involves risk, including the possible loss of principal and fluctuation of value. Nothing contained in this newsletter is an offer to sell or solicit any investment services or securities. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance.

SITALWeek #325

Welcome to Stuff I Thought About Last Week, a personal collection of topics on tech, innovation, science, the digital economic transition, the finance industry, Songbird, and whatever else made me think last week.

Click HERE to SIGN UP for SITALWeek’s Sunday EMAIL

In today’s post: the narrow appeal of being social in VR; pandemic-driven behavioral changes, or was it all just stimulus?; robots are slow moving, but slaughterbots are swooping in now; a look at the fragmentation of shared culture from ancient history to today; it's surprisingly hard for governments to spend money on infrastructure; Kenny G has something important to say; and much more below.

Stuff about Innovation and Technology
Robots: Crude and Creeping
The International Federation of Robotics reports that 2020 saw a 12% increase in the market for professional services robots – including cleaning, logistics, medical, hospitality, and agriculture – to $6.7B. Cleaning and medical applications accrued the largest increases. Consumer service robots for household use rose 6% to $4.3B, a little more than half of which was robotic vacuum cleaners. Wired reports further that robots are still pretty basic, showing little evolution over the years, and are still a far cry from the vision of autonomous, AI-driven humanoids. Even Amazon’s own robot ambitions leave much to be desired, as they are unable to do many of the basic tasks humans complete in warehouses. We’ve seen many examples of consumer-driven technological innovation influencing industrial and/or enterprise use cases (the smartphone being a prime example, which went from consumer apps to changing the way enterprise software is done), so we may want to place our hopes on domestic robot growth to create a platform for machine learning that may broaden use cases.

Slaughterbots Have Left the Barn
Autonomous rotary-wing attack drones, STM Kargu-2s, were used by Turkey to attack the Libyan National Army in 2020. According to the UN (PDF), it’s the first known report of a completely autonomous drone strike with no humans in the loop. The 7 kg drones can fly in autonomous swarms and have facial recognition capabilities, which make them the actual slaughterbot nightmares I’ve written about here previously. The drones are in mass production by a country not well known for its sophisticated ability to produce such things. Autonomous warfare was of course just a matter of time. In an op-ed in IEEE Spectrum, several academics, including MIT’s Max Tegmark, call for a moratorium on development of autonomous killing drones. But, with the technology essentially available off the shelf (drones, cameras, explosives, and open-source facial recognition algorithms), I am not sure that enforcement would be possible. Another author of the op-ed, Berkeley AI researcher Stuart Russell, commented in the FT: “Put very simply, we don’t sell nuclear weapons in Tesco — and with these weapons it will be exactly like that”. In a lecture cited in the FT article, Russell stated: “A lethal AI-powered quadcopter could be as small as a tin of shoe polish . . . about three grammes of explosive are enough to kill a person at close range. A regular container could hold a million lethal weapons, and . . . they can all be sent to do their work at once. So the inevitable endpoint is that autonomous weapons become cheap, selective, weapons of mass destruction.”

Pandemic Changes: Real or Stimulus?
Adding to a growing list of pandemic behaviors that don’t seem to be sticking, the WSJ reports that several restaurant chains are paring back or shutting down delivery options for stretches of time: “Some eateries, struggling with labor shortages and the return of customers to on-site dining, are choosing to scale back at times on often less-profitable delivery and to-go orders”. I’ll be curious to see how big the delivery market is long term – it still seems to be a zero-sum market (e.g., see #277). Someone might still emerge with a profitable formula for a large delivery platform, but it's not yet apparent to me who that might be. It’s hard to separate how much consumer appetite for delivery since the start of the pandemic has been an actual sticky behavioral shift vs. being powered by stimulus checks and fed by the desperation of restaurants trying to survive. Complicating the matters further, low rates and monetary stimulus over-funded venture funds, which then over-subsidized businesses like food delivery. Much as we saw with ecommerce, which pulled in some demand and then reverted to more or less trendline share gains vs. offline (see #323), it’s been difficult to parse the real underlying changes. As I reviewed the plethora of data from the “Turkey 5” ecommerce sales days, including Black Friday and Cyber Monday, the overall picture still seems somewhat murky. Ecommerce growth is slowing down and spreading out broadly, with some segments still gaining and some losing, and brick-and-mortar shops are a mixed bag as well (there's a good overview of the November ecommerce market on this episode of the Jason and Scot Podcast). Is it a slowing consumer spending environment in general, or are behaviors just normalizing back to pre-pandemic trends as excess money leaves the economy? More on that question can be found at the end of last week’s newsletter. For now, all we can do is wait and watch to see how it plays out as consumers begin to eat into their pandemic-driven savings boost.

VR’s Narrow Appeal
In an interview with IEEE Spectrum, Philip Rosedale, the architect of Linden Lab’s Second Life, notes that the virtual world-building program – from the 2000s – still has 1M active users and does around $650M a year in transactions. He also says that virtual social interactions work great for a very small minority of people, but present problems for almost everyone else: In VR “People are not able to communicate with facial and body language yet, in a way that is anywhere near adequate. And I think that it's a very steep cliff. If you have the alternative, to have your social life happen in the real world, I think a great majority of people make that choice, and it's a binary choice. They don't split their social life partly between the real world and partly online. I think that's the reason why we don't see the breakout yet, and nothing that Facebook has said or demonstrated changes what I just said.” Rosedale has spent the last five years at his startup, High Fidelity, and notes how hard it is to get people to adapt to VR interactions. Another challenge is large gatherings, as it’s currently not technically possible to get more than 100 people into the same virtual environment. Instead, copies of the same experience must be created for every 100 or so people.

Miscellaneous Stuff
Digital Tribalism
The Yellowstone Season 4 opener on the Paramount Network drew over 10M viewers on its premier day, which amounted to a 4.19 rating, meaning just over 4% of households watched the episode. Adding simulcast views on other Paramount-owned networks, the total number was probably closer to 5%. It was the most watched live cable premier since 2017 (the episode was not available on streaming). Back in the middle of the 20th century, there were just three TV networks in the US. In 1960, top-rated TV show Gunsmoke pulled in 18.44M households – more than a third of all US households at the time – all watching the same program at the same time and discussing it the next day. These days, garnering simultaneous viewing by a third of US households takes an event like the Super Bowl (38% of households – 92M people – in 2021). Blockbuster movie premiers can also command a significant audience. In 2019, Avengers: Endgame had around 35M people watch it over the opening weekend. That’s still less than one-third of the people who watched the Super Bowl this year, and a smaller percentage of the population compared to something like Gunsmoke in 1960. And, of course, Netflix has achieved some big view numbers for their movies and shows, but it’s hard to pinpoint what the first couple of days viewership looks like. The reason I emphasize the timing of the viewing is because, for the sake of the discussion that follows, I’m interested in common cultural moments – the uniting forces of entertainment, sports, religion, etc. – that bring a large percent of a population (by country, or around the world) together in a shared experience.

I’ve been thinking about our loss of common culture lately given the increasing fragmentation of media. With smaller, niche-ifying audiences, the Yellowstone-like examples of shared experiences are increasingly rare, and even those pale in comparison to historical events. If we travel back to a time long before television and radio, events were largely collectively experienced by members of a small tribe or town. However, between tribes of differing backgrounds and regions, there would have been very little overlap of shared experiences (outside of rare, major events like an eclipse). There was no common culture to unite peoples in contiguous geographic areas, let alone disparate regions across the globe until the agricultural era created larger populations and shared seasonal events. Humans have thus progressed from small tribes of intensely shared culture, to an expanding and amalgamated common culture throughout the 1900’s radio and television era (at least in developed countries), back to small – often digital-only – tribes based on increasingly fragmented experiences.

The rise of digital tribes seems potentially correlated with waning local tribalism (e.g., the notable decline in religious affiliation in the US). Of course, there have been benefits to the rise of online tribes, as people from all over the world can unite over common interests not necessarily shared by their geographically proximate neighbors. However, social network algorithms have reflected and amplified our innate tribalistic tendencies, driving wedges between people who would otherwise probably be agreeable (see also #320 “Surveillance Troubles Paradise”). It’s hard to imagine that humans would have devolved so quickly to this level of tribalism without social media acting as a reinforcing circular reference for negative human behavior, forcing everyone to pick sides. Once you have binned someone into a particular tribe (i.e., exchanged their individual identity for a label), it’s easier (indeed, largely automatic) to adopt an ‘us vs. them’ mentality. Afterall, such categorization has been our brain’s quick and dirty, energy-minimized way of distinguishing friend from foe that’s kept us alive for millions of years. However, modern society affords us the luxury of not having to deal with saber-toothed tigers around every corner, giving us the opportunity to take a moment, burn a few extra calories, and consider 'others' as nuanced individuals rather than crude categories. But doing so requires energy and presence of mind, which seem to be ever in short supply, especially with the pandemic trying our patience.

Over the last few years, political labels have become a more pronounced focal point. I had hoped this year would bring a meaningful shift from political tribalism to more (generally) benign forms, like professional sports spectating, that might have deescalated some of our more violent, hateful tribal instincts. I worry the trend towards increasingly fractured online tribalism comes at the expense of our sense of community, both locally and more broadly, as well as our ability to treat people as individuals rather than categories. With fewer shared experiences, it becomes harder and harder to find common ground and cultural identity among individuals with increasingly polarizing labels and divergent life experiences and perspectives. Even families are fracturing more and more. I am not sure what unifying celestial force might cause humans to get back on the same page, or at least slow the fractal fracturing. Algorithms are increasingly influencing a larger portion of the population to the point where people are changing their behaviors to feed the algorithm that is subsequently changing their behaviors (this Vox article on the perils of the Spotify year-end review and its identity-creating algorithm is a good example of this phenomenon). The logical progression is towards a planet with eight billion tribes of one, with the individual, defined and crafted by algorithms, believing in a unique set of views that no one else shares. Instead of us vs. them, it becomes me vs. the Universe. Is this just a cultural evolution of the definition of human identity, or is it something much darker? I could see an improvement in leadership from both governments and corporations helping us out of this trajectory, and anything that can slow down the infinitely amplifying tribalism motivators of social networking and media is sure to bring some relief.

Listening to Kenny G
Speaking of shared cultural experiences at moment in time on a global scale, is there a better example than the Beatles? Well, there is if we leave the baby boomer's 1960s and look at the 1980s and 1990s. While I heard that a highly anticipated music documentary about the British rock band was recently released, the one I was much more interested in was Listening to Kenny G. Kenny G is not my favorite musician, so this requires some explanation. The HBO documentary (by one of my favorite documentarians Penny Lane; yes that is her real name; and, there is also a great side conversation available with her about the movie) is a deep dive on the saxophonist and global top selling instrumentalist of all time, Kenny G. If you dislike Kenny G, you might still dislike him after you watch this documentary, but I think part of you will also love parts of him. “Go for what you love and practice, practice, practice.” This is what Kenny G scrawled on the wall when he visited his old high school. And it’s Kenny G's dedication to practicing that you get to know throughout this documentary. Kenny G is a special kind of nut that can just sit and crank and practice for hour upon hour upon hour until he achieves what he wants. This is the big secret of all art: it's really damn hard, and it requires an enormous amount of practicing, crafting, and refinement. This is true of anything worthy of quality and care. And, it even includes investing and portfolio management (why do I bring investing up? well, in case you didn’t know, Kenny G was one of the first ten backers of Starbucks!). Quality is hard for a reason, and the few people who have the discipline and vigilance to create it make it look deceptively easy. The great irony of the documentary is that Kenny G is very much in on the joke, but the some art critics (in the movie and those that subsequently reviewed the movie) are not all completely in on the joke that they play very virtually no role in determining what is art or not.

Stuff about Geopolitics, Economics, and the Finance Industry
$1.2T Pipe Dream
The NYT reports on the challenges of big infrastructure projects. They take far longer and cost far more, with delays and costs being borne ultimately by taxpayers. Currently, with inflating input costs and the challenge of finding skilled labor, the mega $1.2T US infrastructure bill may fail to launch, or, if it does, projects will cost far more and take far longer. Only $550B of the $1.2T is above and beyond previous approved projects; but, with a five-year goal for zeroing the budget, the incremental money represents an astounding 37% annual increase in federal, state, and local government spending starting next year. One speculation I have is that the delays, costs, and labor problems may tangentially drive innovation in automation for the design and construction industry. If that happens, it would be an actual, long-lasting, positive legacy of the infrastructure bill.

Podcast Picks
If your podcast queue is running short, checkout this page for a list of podcasts featuring NZS investors.
✌️-Brad

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