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.
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
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:
People aren't as good at prediction as they predict they are.
Machine Learning isn't a one-size-fits-all answer to all your problems.
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.
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.
In the past, most profitable companies built or sold tangible products. The Titans of industry were automobile manufacturers, oil producers, land owners, etc.
Over the past 20 years, the Titans have changed dramatically. Now, many of the leaders are in tech, IP, and other intangible assets.
Now, to be clear, these aren't the most profitable companies. This is about value.
That being said, it wouldn't be surprising to see Apple top either of those lists. Meanwhile, Tesla has dropped off the Top 10 list due to more EV competition and probably some backlash from Elon Musk's Twitter purchase.
Also, unsurprisingly, Nvidia is the fastest-growing brand right now.
With technology becoming more ubiquitous and businesses booming, I think the trend will continue, which makes protecting your businesses' intangibles even more important.
Patents and trademarks are a great way to build a moat between you and your competitors. Remember, however, that anything you get a patent on becomes public knowledge - so be careful with your trade secrets.
Why do people use decision models? Obviously, to make better decisions. But really, they use models to create a process that avoids many of the mistakes or constraints that prevent good decisions.
You make countless decisions every day - and at a certain point, you reach decision fatigue. It can be harder to make decisions when you are tired, after you've made too many, or when the intensity of the environment distracts or drains you.
It's one of the reasons I rely on artificial intelligence. Here are some others.
Best practice becomes standard practice.
It accounts for signal and noise.
It attempts to quantify or otherwise make objective assessments, comparisons, and choices.
And, it often gives you a better perspective by letting you apply and compare different models or decision techniques to achieve the desired outcome.
Nonetheless, many algorithms are dynamic and adaptive automation of processes or strategies that humans have used successfully before.
So, let's take a closer look at the OODA Loop, which stemmed from analyzing many interactions between and among fighter pilots during battle and training.
Observe
The first step is to observe the situation to build the most accurate and comprehensive picture possible. The goal is to take in the whole of the circumstances and environment. It's not enough to observe and collect information ... you must process the data and create useful meaning.
It's the same with data collection for an AI system. Ingesting or collecting data isn't enough. You have to be able to apply the data for it to become useful.
Orient
The second step is less intuitive but very important. When you orient yourself, it becomes easier to recognize strengths, weaknesses, opportunities, and threats to identify how changing the dimensionality or perspective alters the outcome.
This step reconnects you with reality in the context of your cognitive biases, recent decisions, and more. For example, have you received new information since starting?
I think of this as carrying a map and pulling out a compass while exploring new lands. Sometimes, you need to remember where you started, and sometimes, you need to make sure you're going where you think you are.
Decide
The last two steps provide the foundation for taking action.
When there are multiple decisions in front of you, observing and orienting help you choose wisely.
In business and with AI, you can go through these loops multiple times.
Act
Finally, remember that the best-made plans mean nothing if you don't act on them.
Once you've taken action, you can reobserve, reorient, and keep moving forward.
Conclusion
Like most good mental models, The OODA loop works in many situations and industries.
Speed is often a crucial competitive advantage. For example, knowing (and taking decisive action) while others are still guessing (and taking tentative action) is something I call time arbitrage.
Said another way, you make progress faster by walking in the right direction than by running in the wrong direction.
These processes (and technology) also help us grow more comfortable with uncertainty and uncomfortableness. Markets are only getting more volatile. Uncertainty is increasing. But, when you have the ability to adapt and respond, you can survive and thrive in any climate.
You’re probably aware that I’m a big Dallas Cowboys fan. Unfortunately, they were crushed today by the Green Bay Packers in the first round of the NFL Playoffs.
Here is a photo I grudgingly took with a Packers fan at the game.
The Cowboys looked great all season, except when they didn’t… which was rare (but extreme). It happened three times this year. Early in the season against the Cardinals and the 49ers ...and obviously, it happened again today.
Only one team can win the Super Bowl. I know that. Yet, somehow, the Cowboys seem to have a real chance most seasons. That is probably why the NFL tries so hard to create parity ... to keep fans interested.
On a lighter note, one thing we can probably agree about is that geriatric white dudes shouldn’t rap. At least ... that’s what my kids tell me when I try.
Unfortunately, the Owner of the Cowboys, Jerry Jones, didn’t get the memo.
As someone who (in a past life) was an "elite athlete," my mind often thinks my body is capable of more than it actually is.
Well, it still is ... just less often and with a higher chance of hurting myself.
It's taken a lot of adjustments to find what routines work for me. They can't just be low-impact or good for me ... they have to be fun, and they have to allow me to improve, not just maintain.
I've found a couple of things that work for me, like the Carol AI Bike and HOTWORX.
Another one of my favorites is the X3 bar by Dr. John Jaquish. It's a metal bar that attaches to various bands and allows you to do variable resistance training. It's more efficient and effective than weights because, instead of using the same amount of force through the entire rep, you're able to do more weight where you're strongest and less weight where you're weakest.
He works with professional athletes, NBA teams, and more.
I shot a video with him about why X3's variable resistance is a better way to exercise. Check it out.
My son, Zach, is a holdout only because he prefers spending an hour in a gym. It's his meditation and his social hour all in one. I get it. I can't pretend I don't still enjoy going to the gym and lifting weights. But, I can recognize a lot of that is vanity and fun instead of prioritizing effectiveness and efficiency (getting more done in less time).
Taking a "Less is More" approach flies in the face of "No Pain, No Gain."
The X3 is portable; it doesn't take a long time to set up or use; and I feel stronger when I use it consistently. That means it is efficient and effective. Surprisingly, it is also fun.
The new X3 Force uses tracking & gamification to encourage use and progress. That is important because, with any of these tools, you still need to consider the Head, Heart, and Feet of the matter. It isn't enough to know what or how to do something. You have to want to do the thing. And then you have to actually do the thing.
I'm excited about this, because I think increasing longevity is a promising frontier, and I believe short effective workouts are fundamental to living healthier and longer.
I just shared an updated article on the difference between Skill and Luck.
Serendipitously, this article showed up in my feed from 2012. Instead of updating it, I want to share it as I wrote it, because it's still relevant, and it might lose some of its magic if I update it.
So, here it is:
________________
Title: Some Thoughts On Whether Luck Is Something You Create
Date: November 3rd, 2012
Doing the same things, the same ways, has predictable results. Sometimes, it is important to do things differently.
Here is a photo of me at the National Society of Black Engineers' Professional Development Conference, where I had the opportunity to present and participate in several panel discussions.
I'm neither black, nor an engineer, and they aren't traders; so why would they ask me to present... and why would I say yes?
Value is often added at the edges. Likewise, good things often happen when you travel outside your comfort or habit zone.
I gained a lot from the experience. For example, I had a discussion with a nuclear physicist who talked about how they use computer simulations to model the effects of a nuclear explosion. That gave me great ideas about how to measure the effect of a particular trading system or algorithm on a market.
Luck does favor the prepared. That conversation could just as easily have been me simply saying 'hello,' shaking hands and moving on to the next person. To some extent, the ability to take advantage of opportunities comes from the intent to find them.
Is Luck Something That You Can Maximize, Or Would You Consider It Random?
It's possible that luck is both random and something you can maximize.
Here is an example. Many people consider the stock market to be random. Nonetheless, there are groups of people who consistently beat the market and trade profitably. How is that possible?
To explain, let's examine the decision to purchase Apple Computer stock. Regardless of whether that decision was based on gut instinct, fundamental analysis, or a technical chart pattern ... whether the price moves up or down the moment after that purchase is for the most part random.
However, if you make 10,000 trades over time, then your ability to make and keep money is about how you manage risk and opportunity. At that point, your system is not necessarily random. Consequently, it is something that you can improve.
Transform Results By Getting Un-Stuck.
Improvement means getting better and different results. And, as you already know, it doesn't make sense to continue to do the same thing, yet expect different results. So, a key skill is learning to recognize when things are "stuck" in a rut.
The trouble with many "ruts" is that you don't know you're in one, while you're in one. Consequently, it often takes a different perspective to become aware of new possibilities, opportunities, or best next steps.
Implications.
The interesting thing that this implies is that those opportunities were always there ... they just weren't there for you in your current state of awareness.
Similarly, recognize that many of the processes that we rely on limit our "luck" or opportunities precisely because they limit our choices. When this is done consciously it can be helpful. However, when it's an unconscious act, it can be dangerous.
In general, you can categorize many tools as either being multipliers or diminishers. Neither one is good or bad in and of itself. The trick is to recognize that you have a choice and that not choosing is still a choice.
Nine years in front of entertainment devices - another 10.5 years spent working. You get the idea.
If you have goals you want to accomplish, aspirational travel, and lifestyle plans - this really puts the idea of finding and living your passion in perspective.
Do you have the time to waste it?
VisualCapitalist put together a chart projecting longevity based on 2020 mortality rates.
I turned 60 this July, so I only have 20 years left, according to this calculator. I expect more!
There are some interesting statistical facts in this; for example, an average American baby boy can expect to live until 74 ... but if that boy turns 21, his life expectancy jumps to over 75.
While these numbers seem pretty high, there are two things to consider. First, COVID heavily reduced these numbers because mortality rates went up. That likely won't continue (though it will likely continue to affect your insurance premiums and pension benefits).
Also, remember that these numbers are based on 2020 averages, which likely differ from you (specifically considering your race, income, location, etc.). These numbers also don't take into account expected medical and technology advances, etc.
Finally, I think Purpose is one of the most important catalysts of longevity. People often die when they retire ... not because they're done working, but because they're done striving.
We're now midway through the Cowboys Season, and despite injuries plaguing the team, we just had a fantastic 43 - 20 victory over the Rams.
At every game, I run into this guy, and every game he wears a different creative, and well-thought-out costume. He sits on the 50-yard line. He wears Ferragamo shoes and a nice watch. For his day job, he is the Head of Psychiatry at a well-known hospital in the area. Yet, something about this game captures his imagination.
Jerry Jones does a lot right in how he builds his "Disney Ride." But this post will focus more on what the coaches and players do.
I'm regularly surprised by the levels of innovation and strategic thinking I see in football.
Football is something I used to love to play. And it is still something that informs my thoughts and actions.
Some lessons relate to being part of a team, while others relate to the coaching or management side of things.
Some of these lessons stem back to youth football ... but I still learn things watching games – and even more, from watching Dallas Cowboys practices at The Star.
Think about it ... even in middle school, the coaches have a game plan. There are team practices and individual drills. They have a depth chart, which lists the first, second, and third choices to fill certain roles. In short, they focus on the fundamentals in a way that most businesses don't.
The picture, below, is of my brother's high school team way back in 1989.
To re-state, most businesses are less prepared for their problems than an 8th-grade football team. Now, that might sound offensive to some of you – but if you think about it ... it's pretty accurate.
Losing to an 8th Grade Team
I shot this video right before the COVID-19 shutdown. I encourage you to watch it. I think it's 3 minutes well spent.
Football teams think about how to improve each player, how to beat this week's opponent, and then how to string together wins to achieve a higher goal.
The team thinks of itself as a team. They expect to practice. And they get coached.
In addition, there is a playbook for both offense and defense. And they watch game films to review what went right ... and what they can learn from for use later.
Contrast that with many businesses. Entrepreneurs often get myopic ... they get focused on today, focused on survival, and they lose sight of the bigger picture and how all the pieces fit together.
The amount of thought and preparation that goes into football - which is ultimately a game - is a valuable lesson for business.
What about when you get to the highest level? If an 8th-grade football team is equivalent to a normal business, what about businesses that are killing it? That would be similar to an NFL team.
Let's look at the Cowboys.
Practice Makes Perfect
How you do one thing is how you do everything. So, they try to do everything right.
Each time I've watched a practice session, I've come away impressed by the amount of preparation, effort, and skill displayed.
During practice, there's a scheduled agenda. The practice is broken into chunks, and each chunk has a designed purpose and a desired intensity. There's a rhythm, even to the breaks.
Every minute is scripted. There's a long-term plan to handle the season ... but, there was also a focus on the short-term details and their current opponent.
They alternate between individual and group drills. Moreover, the drills run fast ... but for shorter time periods than you'd guess. It is bang-bang-bang – never longer than a millennial's attention span. And they move from drill to drill – working not just on plays, but also on skillsets (where are you looking, which foot do you plant, how do you best use your hands, etc.).
They use advanced technology (including advanced player monitoring, biometric tracking, and medical recovery devices ... but also things like robotic tackling dummies and virtual reality headsets).
They don't just film games, they film the practices ... and each individual drill. Coaches and players get a cut of the film on their tablets as soon as they leave. It is a process of constant feedback and constant improvement. Everything has the potential to be a lesson.
Beyond The Snap
The focus is not just internal, on the team. They focus on the competition as well. Before a game, the coaches prepare a game plan and have the team watch tape of their opponent in order to understand the tendencies and mentally prepare for what's going to happen.
During the game, changes in personnel groups and schemes keep competitors on their toes and allow the team to identify coverages and predict plays. If the offense realizes a play has been predicted, they call an audible based on what they see in front of them. Coaches from different hierarchies work in tandem to respond faster to new problems.
After the game, the film is reviewed in detail. Each person gets a grade on each play, and the coaches make notes for each person about what they did well and what they could do better.
Think about it ... everyone knows what game they are playing ... and for the most part, everybody understands the rules and how to keep score (and even where they are in the standings). Even the coaches get feedback based on performance, and they look to others for guidance.
Imagine how easy that would be to do in business. Imagine how much better things could be if you did those things.
Challenge accepted.
And, in celebration of a Cowboys win ... here's me doing a cartwheel. I'm sure my body will feel great tomorrow ...
Some Professors put together IKEA-inspired instructional booklets for their algorithms and data-structures lectures. The idea was to make easy-to-understand explanations by removing words, and only using images. Ideally, this would allow them to be understood regardless of their native language or culture.
This is a pretty cool idea, or at least I thought so. My youngest son said, "I don't particularly understand IKEA directions or algorithms .... so this is basically the worst of both worlds for me." Finally, we agree about something!
Hopefully, you find it helpful. If not, there's always Wikipedia.
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:
Feeding the Madness
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 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:
Something to think about.
Posted at 06:36 PM in Business, Current Affairs, Games, Healthy Lifestyle, Ideas, Just for Fun, Market Commentary, Science, Sports, Television, Trading | Permalink | Comments (0)
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