A Simple Way to Learn New Skill (using science)
Summary
TLDRThe video script emphasizes the common mistake of 'Theory Overload' that leads to failure in learning new skills. It introduces 'experiential cycling' as the key to effective learning, where practice, observation, reflection, and adjustment are essential. The speaker shares insights from observing students, revealing that slower, deliberate learning with fewer concepts at a time prevents cognitive overload and leads to better academic outcomes. The secret to mastering any skill is balancing new theory with practice, allowing skills to become habits and freeing up mental resources for further learning.
Takeaways
- 🎯 The fastest way to learn a new skill is to learn more slowly to avoid 'Theory Overload'.
- 🔁 Experiential cycling is a crucial process for learning, involving experience, observation, reflection, and experimentation.
- 💡 Learning involves cognitive resources, similar to how a computer uses memory or RAM.
- 📚 Theory Overload occurs when too many new concepts are introduced, overwhelming the brain's cognitive capacity.
- 📉 Sish, a student in the script, experienced a decrease in academic performance due to Theory Overload.
- 📈 Enzo, another student, improved significantly by pacing his learning and balancing theory with practice.
- 🧠 Cognitive overload can hinder learning, as the brain struggles to process too many new elements simultaneously.
- 🔄 The key to effective learning is balancing new theory with the formation of habits from existing skills.
- ⏱️ The rate of learning should be adjusted based on the time available for practice and the rate at which new habits form.
- 🔄 A general rule of thumb is to have at least 5 hours of practice for every hour of theory, but this can vary based on the complexity of the skill.
- 🚀 Successful learning is achieved by not overloading the brain and maintaining an optimal rate of skill growth.
Q & A
What is the key ingredient to learning any new skill according to the transcript?
-The key ingredient to learning any new skill is experiential cycling, which involves having an experience, observing the result, thinking about what needs to change, and then experimenting to see if it improves.
What is the term used in the transcript to describe the mistake that most people make while learning a new skill?
-The term used is 'Theory Overload,' which refers to the mistake of trying to learn too much at once, leading to cognitive overload and hindering the learning process.
Why is it important to balance new theory with practice when learning a new skill?
-Balancing new theory with practice is crucial because it prevents cognitive overload, allows for the efficient use of cognitive resources, and helps in forming new habits, which are essential for skill acquisition.
What does the 'experiential cycle' consist of in the context of learning a new skill?
-The experiential cycle consists of having an experience, observing the result, reflecting on what needs to be changed, and then conducting an experiment to see if the changes lead to improvement.
Why did Sish's academic performance decline despite covering more of the program in a shorter time?
-Sish's academic performance declined due to Theory Overload. By trying to learn too many new techniques in a short period, Sish overloaded their cognitive resources, preventing effective learning and leading to a decline in performance.
How did Enzo manage to improve his academic results despite covering less of the program?
-Enzo improved his academic results by taking a slower approach, dedicating more time to practice and habit formation for each new concept learned. This prevented overload and allowed for effective learning.
What is the recommended ratio of practice to theory intake to avoid cognitive overload?
-As a rule of thumb, for every hour of theory intake, there should be at least 5 hours of practice. This helps in forming new habits and preventing cognitive overload.
How does the process of forming new habits affect the learning of a new skill?
-Forming new habits is essential for learning a new skill because once a skill becomes a habit, it requires fewer cognitive resources. This frees up mental capacity to learn and integrate new theories and techniques.
What is the term used to describe the cognitive challenge of trying to think about many different things at once?
-The term used is 'multiple element interactivity,' which is a common reason for entering cognitive overload during the learning process.
How can one determine if they are forming new habits effectively?
-One can determine if new habits are forming when they notice that the skill is becoming easier and faster to perform without compromising accuracy and consistency. The speed often comes naturally with increased efficiency.
What is the significance of the 'arrow and bow' analogy used in the transcript?
-The 'arrow and bow' analogy is used to illustrate the importance of experiential cycling in learning. Just as an archer must adjust their technique based on where the arrow lands, learners must reflect on their performance and adjust their approach to improve.
Outlines
🎯 Understanding the Theory Overload Mistake
The speaker discusses their decade-long pursuit of the most efficient skill-learning methods and identifies 'Theory Overload' as a common mistake leading to failure in learning new skills. They introduce 'experiential cycling,' a fundamental process where one practices, observes results, reflects on changes needed, and then experiments to improve. This cycle is crucial for learning, whether it's shooting a bow, studying, or any other skill. The speaker emphasizes that learning more slowly can actually be faster in the long run, as it avoids cognitive overload, which occurs when too many new concepts are introduced simultaneously, overwhelming the brain's cognitive resources.
📚 Balancing Theory and Practice for Effective Learning
This paragraph delves into the concept of cognitive overload, explaining how learning new skills requires cognitive resources, similar to how a computer uses RAM. The speaker uses the analogy of a filled bowl to illustrate how introducing too many new elements can exceed the brain's capacity, leading to ineffective learning. They advocate for a balanced approach where new theory is combined with practice, allowing existing skills to become habits that require fewer cognitive resources. The speaker shares an example from their teaching program, where a student who progressed slowly but steadily (Enzo) had better academic results than a student who covered more material quickly (Sesh), highlighting the importance of not overloading the brain with too much new information at once.
🚀 Optimal Skill Growth Through Habit Formation
The final paragraph focuses on the importance of aligning the intake of new theory with the amount of practice and habit formation. The speaker suggests a general rule of thumb: for every hour of theory, one should have at least five hours of practice. They acknowledge that this ratio can vary depending on the complexity of the skill being learned. The key is to monitor the formation of new habits, which frees up cognitive resources for learning additional theory. The speaker praises Enzo for recognizing his slower habit formation and adjusting his practice accordingly, achieving optimal skill growth without overload. The paragraph concludes with the speaker's belief that balancing theory and practice is one of the most critical aspects of learning any new skill.
Mindmap
Keywords
💡Experiential Cycling
💡Theory Overload
💡Cognitive Resources
💡Multiple Element Interactivity
💡Cognitive Overload
💡Habits
💡Skill Growth
💡Practice
💡Academic Success
💡Efficiency
Highlights
The speaker has been researching the fastest and easiest way to learn new skills for a decade.
Identifies 'Theory Overload' as a common mistake that leads to almost 100% failure in learning any skill.
Experiential cycling is an often-overlooked key ingredient to learning new skills.
Learning involves an experiential cycle of practice, observation, reflection, and experimentation.
The fastest way to learn any skill is counterintuitively to learn more slowly to avoid overload.
Theory overload occurs when cognitive resources are overwhelmed by too much new information.
Cognitive overload is a common reason for failure in learning cognitive skills.
Effective learning requires balancing new theory with existing skills becoming habits.
The speaker shares a case study of two students, Suresh and Enzo, to illustrate the theory overload trap.
Enzo, despite covering less of the program, achieved better academic results due to avoiding overload.
Suresh's academic performance declined, illustrating the negative impact of theory overload.
The speaker uses a bowl analogy to explain the limited cognitive resources of the brain.
Learning new skills requires a significant amount of cognitive resources, especially at the beginning.
The importance of forming habits to reduce the cognitive load and improve efficiency in performing skills.
A rule of thumb for balancing theory and practice: 5 hours of practice for every hour of theory.
The significance of monitoring habit formation to gauge the readiness for taking in new theory.
Enzo's strategy of extensive practice for each hour of theory led to optimal skill growth without overload.
The speaker emphasizes the importance of balancing theory intake with practice for successful skill acquisition.
Transcripts
I've been obsessed with figuring out the
fastest and easiest possible way to
learn new skills for the last decade and
after years of teaching people and
reading the research on this I've
stumbled across a mistake that
guarantees an almost 100% failure rate
on learning any skill and sadly this is
a mistake that most people make every
single day I call this mistake Theory
overload and I think it is one of the
most important things to know about when
you're trying to learn any new skill but
first we have to understand a key often
overlooked ingredient to learning any
new skill that allows us to even learn
skills in the first place and this
ingredient is experiential cycling so if
I practice shooting this bow every day
for a month I should get
bitter right
[Music]
maybe but maybe not once I let go of
this Arrow I cannot control where it
goes midair at least as far as I know
where this Arrow lands depends on
everything that I did in the setup
beforehand and by the way like any skill
learning to learn is the same our exam
results our memory our depth of
understanding these things depend on the
processes we used before when we were
studying now imag imagine I shot this
arrow and it
landed here not very good but to do
better next time I have to know what to
change to get it into the center I
cannot keep just firing arrows off
randomly expecting to get better I might
get a bullseye once in a while but it's
not going to be consistent and once the
target moves further away it's not going
to work anymore same thing in learning
if we get a bad exam result we need to
know what to change and just because we
get a better exam result in a different
exam it doesn't mean we actually solved
the problem so this is essentially the
experiential cycle we have an experience
we observe the result we think about
what we need to change and then we do an
experiment to see if it made it any
better without this cycle we cannot
learn any new skill this is pretty
straight forward and obvious but here's
the part that traps people whether it's
learning about learning skills or
learning to shoot an arrow or learning
any other skill the fastest way to learn
any skill is to learn more slowly this
is the theory overload trap now most of
you know that I've got a program that
teaches people to learn more efficiently
and one of the things that I can do on
the program that I can't do on YouTube
is I get to observe how the students
behave and I can track their progress
much more closely so take a look at
these two students and see if you can
guess which one ended up being more
academically successful first one to
look at is this one here sures who was
on the program for 5 weeks and got
through
31% of the program and the second
student that I want you to look at is
Enzo who was on the program for 54 weeks
and got through 20%
of the program who do you think improved
the fastest so despite covering less of
the course it was actually Enzo who
ended up with better academic results he
went from a baseline of
62% to latest exam result of
92% compared to sish and this is the
surprising part sish actually went from
80% to
71% so actually got worse after working
on it for 5 weeks why did sesh get worse
I'll give you a clue it's not just
because Enzo had so much more time to
work on things well the answer is Theory
overload okay now imagine this bowl is
your
brain very smooth just kidding now your
brain has a limited amount of cognitive
resources that it can can spend it's
like how much memory or Ram your
computer has so let's say that these
wooden blocks represent your cognitive
resources now whenever we learn a new
skill we're introduced to new things
that we need to think about so each
thing takes resources to keep it in mind
and think about it hold my arrow more
tightly stabilize my core keep my
shoulders uh relaxed bre breathe more
slowly aim a little bit lower you can
see that my bowl my capacity is becoming
filled up and on top of that there's a
certain amount of resources it takes to
just perform the activity now once a new
skill eventually becomes a habit the
amount of resources it takes goes down
but when you're learning a new skill
it's not going to be a habit it's going
to be unfamiliar and difficult and
awkward and all of those things take
additional resources to overcome so more
and more needs to be invested into just
doing the actual skill and as you can
see now we
are overflowing we've overloaded our
brain's ability to think about things
because we have given it too many things
to think about in the research our brain
trying to think about lots of different
things at the same time is called
multiple element interactivity and it's
a common reason why we enter into what's
called cognitive overload but here is
the thing about learning a cognitive
skill like learning to learn for example
unlike learning a physical skill like
archery for a physical skill we burn
energy using our body using our muscles
for a cognitive skill we burn effort
with our brain which means that the
amount of cognitive resources it takes
to just perform the skill the act of
learning is innately very high to begin
with it takes a lot of mental resources
to understand new information and
process it and organize it and think
about where it belongs and create new
memory and all of this effort helps to
translate the learning into memory and
understanding if we didn't feel this
effort we wouldn't have any memory and
that would be called passive learning
but with effective more active learning
it takes a lot of resources to begin
with which means adding just a few more
things can put us into
overload very quickly so in that case
what is the best way to learn a new
skill especially a cognitive skill well
at the end of the day all of that means
that when we're learning a new skill we
should only ever be trying to experient
expent with one or two things at the
same time so sesh who covered like 30%
of the program in a month would have
learned over a dozen new techniques and
each technique has two or three things
to think about so that means that SES
would have been trying to juggle 20 or
30 things at any given time he was
completely overloaded and therefore his
brain was not able to actually learn the
skills and this is exactly why some
students
if they don't realize this trap can
spend months or even years trying to
learn a new skill and feeling like it is
impossible to get it right because no
matter how much time they put into it
they do not seem to be improving it is
incredibly frustrating so here's the
secret to learning any skill the right
way always balance your new Theory with
practice if you practice ice without any
Theory it's aimless if you practice with
too much Theory you're getting
overloaded so the trick is to balance
new Theory coming in with your existing
skills becoming Habits Like I mentioned
before when skills become habits your
brain figures out a more efficient way
to do it it doesn't require so many
cognitive resources anymore it finds a
shortcut and so
the amount of cognitive resources it
takes to perform the skill goes down as
more of this new skill just starts to
become an old habit and eventually what
took a lot of concentration to do now
takes virtually no thinking at all and
you can still do it just as accurately
and just as consistently we have freed
up more cognitive resources to take in
some new
Theory and turn those into habits for
some skills and techniques it can take
weeks if not months to develop them into
habits whereas for some it can just take
a few hours and by balancing the theory
with practice we can achieve Optimum
skill growth where we are practicing and
every time we practice we are improving
with focus and Direction but we're not
getting overloaded so here's what this
looks like in practice let's say we've
only got 5 hours a week to
practice now that is not probably enough
to form new habits very quickly and so
we're going to need to reduce the amount
of new Theory we take in and because
we've got a low amount of practice and
therefore a low amount of theory the two
of them are aligned and we can achieve
our Optimum skill growth now let's say
we now have a little bit more free time
and we want to dedicate a little bit
more time to learning this skill so we
have now 20 hours a week that we can
dedicate to practice so the amount that
we can practice has now gone
up which means we can also go up in the
amount of theory we can take
in but it's proportional to the amount
of extra practice we're getting so as a
rule of thumb I usually say for every
hour of theory we should have at least 5
hours of practice so for example if we
have 5 hours of practice we would only
be able to take in 1 hour of theory in
this first example whereas in the second
example we've got 20 hours of practice
therefore we can have up to 4 hours of
theory now unfortunately that's just a
rule of thumb and in reality it's a
little bit more complicated because 5
hours of practicing a very complicated
skill is not the same as 5 hours of
practicing a very simple skill like a
new way to tie your shoelaces in which
case 5 hours of practice is probably
Overkill and so what's more important
and accurate than just the number of
hours of practice is actually monitoring
how quickly we're able to form new
habits when new habits form we have the
mental space to take in more Theory so
if we're very slow at forming new habits
then we're going to be slower at taking
in new Theory and the way you can know
that new habits are forming is when you
can feel that things are becoming easier
and faster
without compromising your accuracy and
your consistency and most of the time
you're able to get faster without trying
to get faster the speed comes with the
efficiency that your brain develops at
just getting better at doing it now this
is where I have to give props to Enzo
because Enzo realized that he was
developing new habits more slowly than
we would have anticipated and so he took
a year to cover 20% of the program so
instead of 5 hours of practice for every
hour of theory he was doing more like 15
20 hours of practice for every hour of
theory so even though on the surface it
looked like he was going very slowly his
skill growth was being maintained at an
optimal rate because he was never
letting himself get overloaded and by
the way if you're interested in the
program yourself there's a link in the
description that you check out now while
Theory overload has an almost 100%
failure rate the reverse is also true
Almost 100% of the time I see someone
balancing their Theory intake rate with
their practice and habit forming rate
they are able to learn their desired
skill very smoothly and very quickly
which is why I said that I think this is
one of the most important things to
understand if you want to learn any
skill I hope that helps and if you've
got the capacity for just one more bit
of theory then check out this video that
YouTube thinks you'll like thanks for
watching and I'll see you next time
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