Capitalogix

What's Your Three Word Strategy?

A few years ago, I shared a presentation called Mindset Matters that I had given to a small mastermind group.

This past week, I revisited that content in a different group. 

One of my core beliefs is that energy is one of the most important things we can measure.  I believe it so strongly I paid Gaping Void to put it on my wall.

via GapingVoid

It means exactly what it sounds like - but also a lot more.

Energy affects how you feel, what you do, and what you make it mean.  That means it is a great way to measure your values too.  Consequently, even if you don’t recognize it, energy has a lot to do with who you hire and fire.  It affects where you spend your time.  Ultimately, it even affects the long-term vision of our company.  If something brings profit and energy, it is probably worth pursuing. 

In contrast, fighting your energy is one of the quickest ways to burn out.  Figuring out who and what to say “no” to is a crucial part of making sure you stay on the path and reach your goals.

Watch this short video on Mindset Scales.  It is worth your time.

Subscribe to Howard Getson’s YouTube Channel

Three Word Strategies.

I believe that words have power.  Specifically, the words you use to describe your identity and your priorities change your reality. 

First, some background.  Your Roles and Goals are nouns.  That means “a person, place, or thing.” Let's examine some sample roles (like father, entrepreneur, visionary, etc.) and goals (like amplified intelligence, autonomous platform, and sustainable edge).  As expected, they are all nouns. 

Next, we’ll examine your default strategies.   You use these in order to create or be the things you want. The strategies you use are verbs.  That means they define an action you take.  Action words include: connect, communicate, contribute, collaborate, protect, serve, evaluate, curate, share … and love.  On the other end of the spectrum, you could complain, retreat, blame, or block.

People have habitual strategies.  I often say happy people find ways to be happy – while frustrated people find ways to be frustrated.  This is true for many things.

Seen a different way, people expect and trust that you will act according to how they perceive you.

Meanwhile, you are the most important perceiver.

Another distinction worth making is that the nouns and verbs we use range from timely to timeless.  Timely words relate to what you are doing now.  Timeless words are chunked higher and relate to what you have done, what you are doing, and what you will do.

The trick is to chunk high enough that you are focused on words that link your timeless Roles, Goals, and Strategies.  When done right, you know that these are a part of what makes you … “You”.  

My favorite way to do this is through three-word strategies. 

These work for your business, priorities, identity, and more. 

I’ll introduce the idea to you by sharing my own to start. 

Understand.  Challenge.  Transform. 

The actual words are less important than what they mean to me. 

What’s also important is that not only do these words mean something to me, but I’ve put them in a specific order, and I’ve made these words “commands” in my life.  They’re specific, measurable, and actionable.  They remind me what to do.  They give me direction.  And, together, they are a strategy (or process) that creates a reliable result.

First, I understand, because I want to make sure I consider the big picture and the possible paths from where I am to the bigger future possibility that I want.  Then, I challenge situations, people, norms, and more.  I don’t challenge to tear down.  I challenge to find strengths … to figure out what to trust and rely upon.  Finally, I transform things to make them better.  Insanity is doing what you always do and expecting a different result.  This is about finding where small shifts create massive consequences.  It is about committing to the result rather than how we have done things till now.

If I challenged before I knew the situation, or I tried to transform something without properly doing my research, I’d risk causing more damage than good. 

Likewise, imagine the life of someone who protects, serves, and loves.  Compare that to the life of someone who loves, serves, and protects.  The order matters!

There is an art and a science to it.  But it starts by taking the first step.  Try to find your three words.

I’ve set daily alarms on my phone to remind me of these words.  I use them when I’m in meetings, and they’re used to evaluate whether I’m showing up as my best self. 

You can also create three words that are different for the different hats you wear, the products in your business, or how your team collaborates. 

 

Finding Your Three Words 

via FlowingData

Like recipes, your words should have ingredients, orders, and intensities.  As you use your words more, the intensities might change.  For example, when my son was just getting out of college, one of his words was contented because he was focused on all the things he missed from college - instead of being appreciative of the things he had.  Later, his words switched to grateful and then loving.  Evolutions that paired with his personal journeys and represented stronger actions. 

Realize that we create what we want by doing.  As such, choose words that inform or spark the right actions.  You can see that in my son’s words.  As he grew, he became more comfortable actively prompting the actions he wanted to approach life with, instead of just passively hoping for a feeling. 

You can apply these simple three-word strategies almost everywhere once you learn how to create them. 

It’s your life.  It’s your choice.

What are your words?

The Next Big Thing ... Megacities

Population growth is an interesting measure. Historically, growth has been slow ... but something changed that, and the implications are stunning.

Scientists estimate that humans have existed for over 130,000 years.

It wasn’t until 1804 that the world’s population reached 1 billion. The population doubled once more by 1927, 123 years later, and then again by 1974, a mere 47 years later.

The Agricultural Revolution spurred early population growth. Subsequently, since 1804, the Industrial Revolution, alongside new technologies and advancements in health and safety, has dramatically enhanced the quality of life and accelerated population growth.

The global population continues to expand as more women are giving birth, despite the statistical trend of each woman having fewer children. Here is a chart showing that.

via Axios (Click for an Interactive Graph)

World population growth rates peaked in the late 1960s and have declined sharply in the past four decades. Nonetheless, world population figures continue to grow. We’re expected to reach 9 billion people by 2050, but a lot of that growth comes from developing countries—it also almost exclusively comes from urban areas. 

Urbanization: Megacities

Here is another trend worth noting. Since 2014, over 50% of the world’s population has lived in urban areas – today it’s approximately 55%. That number is growing.

Ironically, as we grow more digitally connected, our world is shrinking, and our populations are concentrating. 

An interesting consequence of this rapid urbanization and population growth in developing countries has been the increased development of Megacities – defined as cities with populations greater than 10 million. Today, there are 33 megacities – more than triple the number in the 1990s. 

This creates a set of interesting opportunities and challenges. For example, how will these cities deal with infrastructure (e.g., sanitation, transportation, etc.)?

via Statista

As information and money become increasingly decentralized, and it becomes easier and easier to trade and communicate globally, it’s interesting to see a centralization of the population. 

What do you think the consequences will be?

The "Chart Of The Century" In 2024: A Look At Consumer Price Inflation

This post considers the “Chart of the Century” created and named by Mark Perry, an economics professor and AEI scholar. This chart has received considerable attention because it contains extensive information about the challenges faced by the Fed and other Washington policymakers.

The most current version reports price increases from 1998 through the end of 2023 for 14 categories of goods and services, along with the average wage and overall Consumer Price Index.

It shows that prices of goods subject to foreign competition — think toys and television sets — have tumbled over the past two decades as trade barriers have come down worldwide. Meanwhile, the costs of so-called non-tradeable items — hospital stays and college tuition, to name two — have surged.

From January 1998 to now, the CPI for All Items has increased by over 90% (up from 59.6% in 2019, when I first shared this chart).  

Lines above the overall inflation line have become functionally more expensive over time, and lines below the overall inflation line have become functionally less expensive. 

via Human Progress

At the beginning of 2020 (when I shared the 2019 post), food, beverages, and housing were in line with inflation. They’ve now skyrocketed above inflation, which helps to explain the unease many households are feeling right now. College tuition and hospital services have also continued to rise over the past few years—even in relation to inflation. 

There are many ways to interpret this chart. You can point to items in red whose prices have exceeded inflation as government-regulated or quasi-monopolies. You can point to items in blue as daily commodities that have suffered from ubiquity, are subject to free-market forces, or are goods subject to foreign competition and trade wars.

Looking at the prices that decrease the most, they’re all technologies. New technologies almost always become less expensive as we optimize manufacturing, components become cheaper, and competition increases. From VisualCapitalist, at the turn of the century, a flat-screen TV would cost around 17% of the median income ($42,148). In the early aughts, though, prices began to fall quickly. Today, a new TV will cost less than 1% of the U.S. median income ($54,132).

Compare “tradable” goods like cell phones or TVs (with lots of competing products) to less tradable “goods” like hospital stays or college tuition, and unsurprisingly, they’ve gone in opposite directions. In 2020, I asked what the Coronavirus would do to prices, and the answer was less than expected. If you don’t look at the rise in inflation but instead the change in trajectories, very few categories were heavily affected. While hospital services have skyrocketed since 2019, they were already skyrocketing. 

At this point, we’re pretty far removed from quarantine’s most extreme forces. Textbooks have come back down, as have childcare and medical care services. New cars and household furnishings have leveled out. Otherwise, the trajectories have been pretty unaffected.

We can look one step deeper if we consider average hourly income. Since 2000, overall inflation has increased by 82.4%, while average hourly income has increased by 114%. This means that hourly income increased 38% faster than prices (which indicates a 14.8% decrease in overall time prices). You get 17.3% more today for the same amount of time worked ~24 years ago.

It’s interesting to look at data like that, knowing that the average household is feeling a “crunch” right now. My guess is that few consumers distinguish between perception and reality. However, feeling a crunch isn’t necessarily the same as being in a crunch.

For instance, we must account for ‘quality of life creep,’ where people tend to splurge on luxuries as their standard of living improves. With the ease of online shopping and access to consumer credit, it’s become increasingly easy to indulge in impulse purchases, leading to reduced savings and feelings of financial scarcity. This phenomenon is a function of increased consumption (rather than inflation), yet it still leaves consumers feeling like they’re struggling to make ends meet.

 

Perry’s ‘Chart of the Century’ reveals the complex relationships between inflation, consumption, and economic growth. While households may feel financial strain, the data shows that income has outpaced inflation, and technology has made many goods more affordable. Nonetheless, our tendency to splurge on luxuries and increased consumption have contributed to a sense of financial struggle.

 

How can policymakers address the sectors experiencing significant price hikes, like healthcare and education, without stifling innovation in tradable goods and services? 

 

How do you think these issues will impact the Election?

Just Sardines In A Tincan...

I fly a lot.

In fact, I hit five million "butt-in-seat" miles on American Airlines in 2019 (back when frequent flyer programs were about flying frequently rather than credit card spending).

It is 2024, and I am now just below 5.5M.  That means I averaged a little over 100,000 miles per year, even through the COVID shutdown.

Yes, I expect that my travel will slow down.  But as I traveled, I didn't expect it to continue at the pace it did. 

Nonetheless, it has been good for me, and the time spent traveling has been productive.

I have a different workflow when I travel, and it works for me.

Ultimately, I believe that good things happen when you are in motion! 

Many people, however, are focused on the hassle.

The practical realities of travel mean I spend some time thinking about the things airlines do well or poorly.  Nonetheless, I appreciate the benefits more than the frustrations.

As you probably noticed, Airline Status means much less today than it used to (which is why it feels even more important to get).  Every week, the airlines seem to make the space between seats smaller while the time it takes to find overhead luggage space gets shorter.  It seems like most airlines could change its slogan to "We are not happy until you're not happy."

Yet the planes themselves are getting better.  Here, for example, is what an empty 787 looks like. 

It looks more like a set from Star Trek than the hellscape passengers complain about regularly. 

What about the boarding process? 

Here is a video that presents the findings from studies on experimental boarding methods that work better. 

via CGP Grey

If you really don't like commercial flying, you can fly on any of the "economical" private options like JetSmarter or WheelsUp. Or, better yet, you could be like this guy and buy the world's only private Boeing 787 Dreamliner. 

via Sam Chui

You can rent it out for a measly $70k an hour ... What a bargain!

Of course, you could also use Zoom.  Times are changing!

I fly a lot.

In fact, I hit five million "butt-in-seat" miles on American Airlines in 2019 (back when frequent flyer programs were about flying frequently rather than credit card spending).

It is 2024, and I am now just below 5.5M.  That means I averaged a little over 100,000 miles per year, even through the COVID shutdown.

Yes, I expect that my travel will slow down.  But as I traveled, I didn't expect it to continue at the pace it did. 

Nonetheless, it has been good for me, and the time spent traveling has been productive.

I have a different workflow when I travel, and it works for me.

Ultimately, I believe that good things happen when you are in motion! 

Many people, however, are focused on the hassle.

The practical realities of travel mean I spend some time thinking about the things airlines do well or poorly.  Nonetheless, I appreciate the benefits more than the frustrations.

As you probably noticed, Airline Status means much less today than it used to (which is why it feels even more important to get).  Every week, the airlines seem to make the space between seats smaller while the time it takes to find overhead luggage space gets shorter.  It seems like most airlines could change its slogan to "We are not happy until you're not happy."

Yet the planes themselves are getting better.  Here, for example, is what an empty 787 looks like. 

It looks more like a set from Star Trek than the hellscape passengers complain about regularly. 

What about the boarding process? 

Here is a video that presents the findings from studies on experimental boarding methods that work better. 

via CGP Grey

If you really don't like commercial flying, you can fly on any of the "economical" private options like JetSmarter or WheelsUp. Or, better yet, you could be like this guy and buy the world's only private Boeing 787 Dreamliner. 

via Sam Chui

You can rent it out for a measly $70k an hour ... What a bargain!

Of course, you could also use Zoom.  Times are changing!

March Is Always Madness ...

March Madness is in full swing and will have the world's attention for a few more days.  As you can guess, almost no one has a perfect bracket anymore.  Yale beat Auburn, James Madison beat Wisconsin, Michigan State beat Mississippi State, and by the end of day 1, only 2,000 brackets remained intact.  That's .008% of all brackets submitted. 

Before 24/7 sports channels, people watched the weekly show "The Wide World of Sports."  Its opening theme promised "The thrill of victory and the agony of defeat!" and "The human drama of athletic competition." That defines March Madness.

The holy grail is mighty elusive in March Madness (as in most things).  For example, the odds of getting the perfect bracket are 1 in 9,223,372,036,854,775,808 (2.4 trillion based on a Duke Mathematician's formula that takes into account rank).  It's easier to win back-to-back lotteries than picking a perfect bracket.  Nonetheless, I bet you felt pretty good when you filled out your bracket.

 

via Duke University

Here's some more crazy March Madness Stats: 

• 80 million tournament brackets were completed
• Companies expect $4 Billion of corporate losses due to employees tracking games
• The highest-paid NCAA coach, Kansas's Bill Self, makes a salary of $9.6 million
• In 2018, it was estimated that March Madness generated $10 Billion in gambling (twice as much as the Super Bowl)

 

Feeding the Madness

"Not only is there more to life than basketball, there's a lot more to basketball than basketball." - Phil Jackson

In 2017, I highlighted three people who were (semi) successful at predicting March Madness: a 13-year-old who used a mix of guesswork and preferences, a 47-year-old English woman who used algorithms and data science (despite not knowing the game), and a 70-year-old bookie who had his finger on the pulse of the betting world.  None of them had the same success even a year later.

Finding an edge is hard - Maintaining an edge is even harder.

That's not to say there aren't edges to be found. 

Bracket-choosing mimics the way investors pick trades or allocate assets.  Some people use gut feelings, some base their decisions on current and historical performance, and some use predictive models.  You've got different inputs, weights, and miscellaneous factors influencing your decision.  That makes you feel powerful.  But knowing the history, their ranks, etc., can help make an educated guess, and they can also lead you astray. 

The allure of March Madness is the same as gambling or trading.  As sports fans, it's easy to believe we know something the layman doesn't.  We want the bragging rights of that sleeper pick, of our alma mater winning, of the big upset. 

You'd think an NCAA analyst might have a better shot at a perfect bracket than your grandma or musical-loving co-worker.

In reality, several of the highest-ranked brackets every year are guesses. 

The commonality in all decisions is that we are biased.  Bias is inherent to the process because there isn't a clear-cut answer.  We don't know who will win or what makes a perfect prediction. 

Think about it from a market efficiency standpoint.  People make decisions based on many factors — sometimes irrational ones — which can create inefficiencies and complexities.  It can be hard to find those inefficiencies and capitalize on them, but they're there to be found. 

In trading, AI and advanced math help remove biases and identify inefficiencies humans miss.

Can machine learning also help in March Madness?

“The greater the uncertainty, the bigger the gap between what you can measure and what matters, the more you should watch out for overfitting - that is, the more you should prefer simplicity” - Tom Griffiths

The data is there.  Over 100,000 NCAA regular-season games were played over the last 25+ years, and we generally have plenty of statistics about the teams for each season.  There are plenty of questions to be asked about that data that may add an extra edge. 

That being said, people have tried before with mediocre success.  It's hard to overcome the intangibles of sports - hustle, the crowd, momentum - and it's hard to overcome 1 in 9.2 quintillion odds. 

Two lessons can be learned from this:

1. People aren't as good at prediction as they predict they are.
2. Machine Learning isn't a one-size-fits-all answer to all your problems.

Something to think about.

 

Feeding the Madness

"Not only is there more to life than basketball, there's a lot more to basketball than basketball." - Phil Jackson

In 2017, I highlighted three people who were (semi) successful at predicting March Madness: a 13-year-old who used a mix of guesswork and preferences, a 47-year-old English woman who used algorithms and data science (despite not knowing the game), and a 70-year-old bookie who had his finger on the pulse of the betting world.  None of them had the same success even a year later.

Finding an edge is hard - Maintaining an edge is even harder.

That's not to say there aren't edges to be found. 

Bracket-choosing mimics the way investors pick trades or allocate assets.  Some people use gut feelings, some base their decisions on current and historical performance, and some use predictive models.  You've got different inputs, weights, and miscellaneous factors influencing your decision.  That makes you feel powerful.  But knowing the history, their ranks, etc., can help make an educated guess, and they can also lead you astray. 

The allure of March Madness is the same as gambling or trading.  As sports fans, it's easy to believe we know something the layman doesn't.  We want the bragging rights of that sleeper pick, of our alma mater winning, of the big upset. 

You'd think an NCAA analyst might have a better shot at a perfect bracket than your grandma or musical-loving co-worker.

In reality, several of the highest-ranked brackets every year are guesses. 

The commonality in all decisions is that we are biased.  Bias is inherent to the process because there isn't a clear-cut answer.  We don't know who will win or what makes a perfect prediction. 

Think about it from a market efficiency standpoint.  People make decisions based on many factors — sometimes irrational ones — which can create inefficiencies and complexities.  It can be hard to find those inefficiencies and capitalize on them, but they're there to be found. 

In trading, AI and advanced math help remove biases and identify inefficiencies humans miss.

Can machine learning also help in March Madness?

“The greater the uncertainty, the bigger the gap between what you can measure and what matters, the more you should watch out for overfitting - that is, the more you should prefer simplicity” - Tom Griffiths

The data is there.  Over 100,000 NCAA regular-season games were played over the last 25+ years, and we generally have plenty of statistics about the teams for each season.  There are plenty of questions to be asked about that data that may add an extra edge. 

That being said, people have tried before with mediocre success.  It's hard to overcome the intangibles of sports - hustle, the crowd, momentum - and it's hard to overcome 1 in 9.2 quintillion odds. 

Two lessons can be learned from this:

1. People aren't as good at prediction as they predict they are.
2. Machine Learning isn't a one-size-fits-all answer to all your problems.

Something to think about.

The First Neuralink Patient's #1 Priority

Neuralink received approval for human trials of its PRIME Brain-Computer Interface in September 2023.

In January, Elon took to Twitter and announced that the first human recipient had received an implant and was showing promising neuron spike detection. 

Neuralink designed PRIME to record and transmit neural data to interpret brain activity into movement intention. The PRIME Brain-Computer Interface empowers disabled individuals by enabling them to communicate and engage with the world in innovative and impactful ways, such as regaining the ability to speak and interact with others. In the future, advancements in the PRIME Brain-Computer Interface could even assist individuals with spinal cord injuries learn to walk again.

The first patient was 29-year-old Noland Arbaugh, a complete quadriplegic who had lost sensation and suffered paralysis from below the shoulders after sustaining a spinal injury during a diving accident eight years ago.

When we first began receiving updates about him, we were excited to hear that he could use a computer cursor. That was a big step ... and the start of many others. Now, we're being told that he recently used the technology to stay up all night playing a video game called Civilization 6.

https://t.co/OMIeGGjYtG

— Neuralink (@neuralink) March 20, 2024

Similarly, in 2022, a completely paralyzed man used his brand-new brain implant to ask his caregivers for a beer. 

It sounds like a joke, but these are the types of stories that make me optimistic. Both examples highlight a new capability ... but also a deeper purpose, freeing the human to enjoy being human and enhance the quality of their life.

This is a great reminder. Media coverage often focuses on the fear of an increasingly tech-driven world, and what it means for humanity ... but the best uses of technology allow us to be more human. 

What used to be science fiction is becoming reality, and possibilities are becoming inevitabilities. 

Onwards!

The Jobs Most Impacted By AI

As we talk about the proliferation of AI, it's probably helpful to see where it's predicted to have the most impact. 

via visualcapitalist

These results come from a World Economic Forum report. 

In context, large impact refers to full automation or significant alteration. Small impact refers to less disruptive changes. 

IT and finance have the highest share of tasks expected to be "largely" impacted by AI ... which is unsurprising. 

We've also already seen the impact of LLM and generative AI on customer service and customer care. As these tools improve, more cases will be able to be fully handled by AI. 

This chart isn't meant to make you feel afraid that your industry will be automated—it's meant to help you understand what tasks you should consider automating. 

Velocity Versus Speed

Recently, I've been thinking a lot about how businesses scale and technology adoption accelerates.

For example, consider how fast AI is improving and transforming business.

Last year, I shared a short video called Speed Matters. It includes some thought-provoking ideas. You can view it by clicking here.

 

 

While speed matters, faster is not always better.

As you focus on doing more things faster, it becomes more essential to give people room to do important things slower.

You've almost certainly heard the phrase, "It's better to measure twice and cut once."  It's much easier to do something the right way from the beginning rather than trying to fix it after you mess it up. 

Activity does not create progress if it doesn't move you in the right direction.

This reminds me of a distinction my friend Nic Peterson makes. What you want in your business is velocity rather than speed. Velocity implies a vector (and preferably only one vector). You want to move fast in the desired direction, not fast towards distractions, mistakes, or money down the drain. 

To add one more layer to this, there's an "almost true" axiom in technology: you can only have two out of these three things: a project done fast, done right, and done cheaply.

But it's only almost true for a big reason. If you've already built the team and put in the work, replicating that work for new projects can be done fast, right, and comparatively cheaper. 

Are you just moving fast, or do you have velocity in your business?

Something to think about ... 

House Prices Versus Income in America

As we discuss the economy, I also think about my youngest son, who is looking at houses right now. 

In countless ways, today's youth have it easier than we did. Access to opportunities, the internet, capital sources, etc., has gotten more accessible, yet there are a few things that have gone the other way, such as buying a house. 

via visualcapitalist

The chart above does not show interest rates or inflation. For example, in 1984, the 30-year fixed rate was close to 14%, over double what it is now. 

But, to put things in perspective ... I moved to Texas in 1986. Part of my rationale was that I could buy a "nice" home for a little less than my initial starting salary as a lawyer.

Recently, policy decisions have vastly increased house prices. How much? Median house prices are nearly 6x the median household income in America. Meanwhile, the economics of renting are significantly better than buying. According to the WSJ, it's 52% more expensive to buy than rent due to mortgage prices. 

When housing costs are this high, consumer spending and mobility are reduced, making individuals less likely to relocate for job opportunities. 

We live in interesting times. Sometimes, I miss the good old days.

Here Are Some Links For Your Weekly Reading - February 18th, 2024

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• OpenAI's Product Page for Sora – Their AI Model That Creates Video From Text (with Examples). (OpenAI)
• You Are Not Late to Artificial Intelligence. (TheAlgorithmicBridge)
• ‘Mental Time Travel' Can Help You Make Better Decisions. (LifeHacker)
• ‘The Alternative' is Just the Book Economists Should Read — And Won't. (Washington Post)
• Musk Says Putin Can't Lose in Ukraine, Opposes Further Funding – “Prolonging the War Does Not Help Ukraine.” (Bloomberg)

 

Trading Links:

• OpenAI Staff Granted Permission to Liquidate Shares at Astounding $86 Billion Valuation - Insider Report. (Cryptopolitan)
• What Sam Altman's Chimerical Trillions Say About AI Hype. (Axios)
• The US-China Chip War is Escalating. (Apricitas)
• In Memory of Byron Wien, Here Is a 2024 "Ten Surprises" Tribute. (BlueFoxAdvisors)
• How Big Is the Commercial Real Estate Mess in the U.S.? Expect Losses in the Trillions of Dollars Over Time. (TheInstitutionalRiskAnalyst)