When self-made billionaire investor Ray Dalio wanted to understand changing world events, he didn't just look at the latest news. He became an amateur historian and spent months looking back at cycles going back hundreds of years - something almost no one else does.
When Bill Gates wanted to grow Microsoft in the early 1990s, he didn't just study the latest industry news and business books. He studies science. A 1994 interview is telling:
Interviewer: Do you dislike being called a businessman?
Bill Gates: Yeah, Of my mental cycles, I devote maybe 10% to business thinking. Business isn't that complicated. I wouldn't want to put it on my business card.
Interviewer: What, then?
Bill gates: Scientist.
Similarly, when Elon Musk thinks about what CEOs need to know, he doesn't put business skills near the top of his list. Instead, he says:
"The path to the CEO's office should not be through the CFO's office, and it should not be through the marketing department. It needs to be through engineering and design."
What's going on here?
How is it possible that three of the top investors and innovators in human history say that business skills aren't the key to business success? It's like saying the key to parenting isn't parenting skills? Or that the key to gardening is not gardening skills?
It makes you wonder:
What do they see differently about selecting skills to learn than others? Or are these just quirky people who enjoy exploring their curiosities?
To answer this question, we need to think about what a quirk is. For something to be a quirk, it needs to be unique and inconsequential.
What I found is that the opposite is true here:
- Dalio, Gates, and Musk think the same: Although they have unique quirks on the surface, at a deeper level, they all think differently in the same way. (more on this later)
- They are not the only ones. Nearly all top .0001% innovators and investors share the same thinking pattern.
- Their "quirk" is one of their keys to success. Many of them have sworn by this (more on this later).
What I will argue in this article is that Elon Musk, Ray Dalio, Bill Gates, and other top performers have an incredibly unique and effective approach to selecting skills to learn that we can all apply to our own lives.
This is important because skill selection is the Archimedes lever of learning. Or as Tim Ferriss succinctly says:
"Material beats method"
With poor skill selection, we drown in the sea of humanity's knowledge. All of the effort we spend learning and applying what we learn is muted at best or wasted at worst. On the other hand, if we master the ability to select skills, then just 100 hours of learning could have a life-changing impact. The difference between the two harkens back to this famous Stephen Covey quote:
"If the ladder is not leaning against the right wall, every step we take just gets us to the wrong place faster."
To connect the dots of Gates, Musk, and Dalio's unique approach to skill selection, it's critical to look at a few more dots - this time from Warren Buffett, Peter Thiel, Jeff Bezos, and Howard Marks...
What Self-Made Billionaire Investors And Entrepreneurs Understand That Others Don't
In 2010, I made two of the most consequential learning decisions in my career.
First, I decided to learn from the world's top investors based on the premise that we are all investors and that the core mental models that financial investors use to make investments could be used in my life as well. After all, we all invest our time and money into skills, relationships, projects, and jobs that we hope will have a big payoff in the future.
Second, I decided to raise the bar of who I learn from. After reading Fooled by Randomness, I realized that luck plays a much larger role in most people's success than I had thought and that most successful people care to admit it. To select people who were successful primarily because of skill, I added the following filters:
- They are in the top .0001% of performers. Because I was studying investing, this meant that they were self-made billionaires. In other words, they had been able to turn their knowledge into incredible real-world success, and they weren't born with silver spoons in their mouths.
- They are not one-hit wonders. In order to narrow down on those who were successful primarily because of skills, I narrowed down the list to those who had a multi-decade track record of increasing success. They weren't just in the right place at the right time one time in their life.
- They have extensively and eloquently shared their lessons with the world. Next, I narrowed down the list to people who have written books, have been interviewed extensively, or shared their thoughts publicly in other ways so I could learn from them.
- They made their money ethically. Not by rent-seeking or breaking the law. And often have been very philanthropic.
When I added these filters I immediately saw the skill selection pattern. Sometimes, removing the noise is everything.
Below are a few examples of the dots that connected everything for me:
"You want to be greedy when others are fearful. You want to be fearful when others are greedy. It is that simple." - Warren Buffett
"In order to get into the top of the performance distribution, you have to escape from the crowd" - Howard Marks
"The best projects are likely to be overlooked, not trumpeted by a crowd; the best problems to work on are often the ones nobody else even tries to solve." - Peter Thiel
"Outsized returns come from betting against conventional wisdom, and conventional wisdom is usually right." - Jeff Bezos
Put simply, each of these innovators and investors is saying you should focus on investments that are rare & valuable.
I call this model the Outlier Algorithm:
To be an outlier, you need to be a contrarian who is smarter than the market.
Ray Dalio captures the essence of the algorithm with the following quote:
You have to be an independent thinker because you can't make money agreeing with the consensus view, which is already embedded in the price. Yet whenever you're betting against the consensus there's a significant probability you are going to be wrong, so you have to be humble.
The Outlier Algorithm sounds obvious on the surface, but it's profound when you go deeper. So, let's unpack Dalio's quote.
If you make an investment that everyone already agrees is great, the price will be higher, because more demand increases price. As a result, you will have a lower return on investment. Similarly, if you select a skill that is already popular, learning it won't give you an advantage over others. Rather, it will simply help you catch up. For example, imagine a recruiter is hiring for a job. If you are the only person with the skills needed, you can command a premium. If your skills match everyone else, then you are a commodity.
On the other hand, if you bet against the consensus, you will likely be wrong because the consensus is right most of the time. For example, in financial markets, 90% of professional investors do NOT beat the average of the market. In other words, someone who has spent years investing full-time will regularly underperform amateurs who simply put their money into the S&P 500 Index - a basket of the 500 largest companies listed on US stock exchanges. The same is true for learning. If you want solid returns, simply learning skills everyone says is important is probably a solid bet. But, tautologically, if you want to be in the top 1%, you need to think differently than 99% of others and be right. You can't expect to follow the herd and somehow beat the herd. Or as Dr.Seuss said even better:
"You have to be odd to be number one." - Dr.Seuss
So the trick is to be right when others are wrong and this isn't easy.
Looking back on it, the Outlier Algorithms didn't just help me learn faster, it actually helped transform at a deeper level...
Applying The Outlier Algorithm To Learning Turned My World Upside Down
The biggest change I noticed right away is that learning hacks that were obviously good now seemed obviously bad. For example...
- Reading the latest bestsellers
- Staying on top of industry news (that everyone else was following)
- Checking social media daily to see what industry influencers were saying (another thing everyone else was doing)
Without knowing it, I had been primarily focused on popularity. My hidden logic was: If others liked this, it must be good.
With the Outlier Algorithm, my logic was inverted: If others liked this, it may be worth becoming familiar with, but I can't use it to make a big profit or impact.
To drive the point home, ask yourself this question...
'How much would you pay for a procedure that would save your life if you were guaranteed to die without it?
Intuitively, you might say that you would give away all of your money for it. After all, what matters more than beginning alive, right?
But, when you add how many other people have a skill to the equation things change. Let's say everyone in the world knows how to administer the life-saving procedure, and it's easy to perform.
Now, you would only pay a few dollars in this case!
The skill is valuable, but not rare, and because it's missing rareness, others will pay less for it. Furthermore, someone learning the skill will ultimately make less of an impact than they would if they had learned how to perform a life-changing procedure that no one else knew how to do.
With the Outlier Algorithm, my learning sources started to look more like this:
- Academic articles
- Disciplines outside of my field no one else was even aware of
- Licensing proprietary data
- Deep relationship with insiders in fields who might not share certain insights publicly
- Mental models (an abstract value that is harder to value)
After applying these to my life, I noticed some big shifts in my career. As a writer, I could suddenly write about ideas that others hadn't even heard of. This helped my writing stand out. As a result, my writing started blowing up within a few years, I went from zero to tens of millions of readers in top publications like Forbes, Fortune, TIME, and Havard Business Review - something I couldn't have even imagined before.
At a deeper level, applying the Outlier Algorithm facilitated a deeper transformation within me. In many ways, learning rare & valuable skills is following the Here's Journey - the most common archetypal myth that has existed across all human societies throughout time.
This essence of journey is:
- Individuals stepping away from the tried of the true path of their culture
- Going into the depths of the unknown to reinvent themselves
- And then bringing that learning back to their culture so it can evolve
We follow the same journey each time we learn a rare and valuable skill. When we choose to not follow the consensus, we begin a loop of the Here's Journey. We go from the known into the unknown. When we finally find something more valuable than the consensus and share it, we end one loop and set the stage for a new loop. Looking at the Outlier Algorithm this way helped me feel less alone and crazy. It made me feel part of a lineage. And it gave more meaning to sharing what I know with others.
Finally, with the Outlier Algorithm, I could now decode the quirks of many top investors and entrepreneurs.
I could now understand why Ray Dalio was going back into ancient history for new insights on today's markets: History repeats itself. But sometimes it takes decades or even centuries to repeat itself. So people shouldn't just use their own life experience to draw big consclusions. By going back further in history, Dalio found a more accurate way to predict the future that others overlook.
It explain why the #1 question that Peter Thiel asks new recruits and collaborators is:
"What do you believe is true that no one else agrees with you on?"
It's a quick fiter to know if someone is consensus thinker or contrarian thinker. If they can't even think of one contrarian idea, they are likely not a good fit.
It also explain why Elon Musk values engineering and design so highly and spends 80% of his time there rather than on "typical" CEO duties:
- It's valuable. When he and his team design products, they judge quality based on how closely it matches their platonic ideal of what they are designing rather than how closely it mimics competitors. In other words, they use a higher standards for value.
- It's rare. He doesn't follow the typical dogma of what business is. He redefined it. None of the other CEOs of car companies are designers and engineers. And most of them spend their days on business-related activities.
Bottom line...
While most People Search For In-Demand Skills, Top Learners Search For Rare & Valuable Skills
Amateur learners focus on popularity as a proxy for value and ignore rarity. They look for in-demand skills. Primarily read bestselling books and popluar articles. They use popularity-sorted newsfeeds to get information.
Professional learners add rarity and focus on true value. They are always looking for contrarian sources of information that are better than what most others are exposed to.
Becoming an amateur is not a stop on the way to becoming a learning pro. It is actually a fundamentally different path and way of thinking. In other words, we don't become great at elarning simply by doing what everyone lese does, but just a little bit better.
We become great by chariting our own path.
Now that we understand the power of the Outlier algorithm, it's critical to ask ourselves an important question:
"How do we find rare and valuable skills?"
Get Started With Four SImple Rules Of Thums
The bad news is that it's harder than it sounds to make rare and valuable bets, which is why most people don't do it:
- First, it's really hard to beat the market. As I said, in financial markets, 90% of proesional inverstors do NOT beat the market. The same is true in many other markets.
- Second, it means being misunderstood for a log time. Most of the time that people break convenional wisdom, they are wrong. So, if you break conventional wisdom, people will likely think that you are wrong too. As a result, you may feel alone and under-estimated. Others might call you a quack behind your back or give you subtle signals that they think you are crazy. At that point, you will probably seriously question yourself. If you end up being wrong, it can bring the feeling of shame. You can end up losing a lot of money and even lose your job/company. The difficulty only increases when you depend on support from family, a boss, a board, the press, investors, and other stakeholders.
- It addition, it's extremely time consuming. It's much easier to trust the authority (government, mainstream media, experts) on a topic (i.e. what to eat, what to learn, what to do when you are sick, how to interpret world events) than to do your own nuanced research especially if you are not an expert).
- Finally, it's confusing. When one first starts with the Outlier Algorithm it can be hard to find rare and valuable skills. The consensus view is often so entrenched that we are even blind to the idea that there could be another credible perspective.
For example, you can read the biography of almost any successful artist, leader, activist or entrepreneur, and you will see that they undeured years of darkness before they became an overnight star. Years before they became the Elon Musk or Gandhi or Mother Teresa or Vincent Van Gogh we know today. The same is true with ideas and technology. Many of the scientific ideas we take as obvious were at one point heretical (the earth revolves around the sun, time is not constant) and many of the biggest technology breakthroughs seemed like toys at first (Internet). This 1995 clip Of Bill Gates trying to explain the value of the Internet is a case in point
On the other hand, the good news is this...
"The difficulty of applying the Outlier Algorithm is the exact reason to do it! More difficult means more rare."
To help you get started with these challenges, below are four rules of thumb I come back to over and over. Although there are just four, they pack a lot of punch. They are the simplication of hundreds of hours of thinking how to better find rare & valuable skills:
1. Be the first to learn a valuable skill. Track emergin science, technologies, apps, tools, industries, and fields. When ones are growing exponentially, spend a few hours exploring them to see if it's worth putting in more time. I call this Jeff Bezos' Hockey Stick Rule. It helps you try new things without wasting your time on things that turn into duds.
2. Learn valuable skills that are difficult. Be willing to invest in areas that are taboo, aren't super sexy, time-consuming, strenuous, appear risky or are super technical or academic.
3. Learn valuable skills with hidden benefits. Humans have value blindspots. They under-estimate skills with abstract, long-term payoffs; micro-skills; skill from other disciplines; and classic ideas that have been forgotten.
4. Redefine value better than the consensus. In our careers, we use our skills to serve someone else. It could be a customer, a boss, our fans, a recruiter, or someone else. If you can better understand the unmet needs of the people you are serving better than others, you will be able to meet those needs better.
Or, for short, remember to:
- Be first
- Face difficulty
- Look for hidden benefits
- Redefine value
And, If you are dedicated enough to have read this fare in the article (3,000 words and counting), then, you are awesome! you are the kind of person that keeps me going with these heavily-researched logform articles when I question whether social media has destoryed all of our attention spans.
So, I have something extra speical for you...
I created a month-long learning challenge called Month To Master. And, I have made the first three days free.
In the three-day "challenge kick-off", you will learn how to:
1. Find a valuable micro-topic that you will become an expert in with ~ 100 hours (worksheet includes a checklist with 30 questions you can ask yourself to find rare and valuable skills).
2. Build your learning curriculum to build expertise in the topic fast
3. Get momentum and support at getting started.
This post was written according to the link below to study English.