Smarter is one “slow learner” turned A student’s experimental account of improving his intelligence by 16% through various tests, lessons and exercises and explains how you can increase your intelligence in scientifically proven ways.
I love a good prove-them-wrong story. As a kid, Dan Hurley
was told he was a slow learner, because he still couldn’t read at eight years
old. At eleven, he was an A student and went on to become a successful
journalist and writer for The New York Times.
Because he had a desire to understand his own transformation
(and what’s possible in terms of improving intelligence) on a deeper level, he
devoted a lot of his writing and time to evaluating the research in this field.
He even volunteered himself as a guinea pig for the latest methods.
All of his findings have been compiled in this book, so you
can get the most of the newest research, learn what truly makes a person
intelligent and become smarter.
Here are 3 lessons to increase your brainpower:
There are two kinds of intelligence, and both can be increased.
You can use computer games to boost your working memory.
Far transfer allows you to use your knowledge about one task with another.
Ready to raise your knowledge rank? Let’s play some mental
games!
Lesson 1: Intelligence is part fluid, part crystallized, and
both can be increased.
Intelligence was divided into two parts as early as the
1970s. Back then, scientists discerned them as follows:
Fluid intelligence.
Crystallized intelligence.
Fluid intelligence is your capacity for logic thinking and
reasoning. When you’re presented with a new problem you haven’t seen before,
and then try to analyze it by spotting patterns, thinking about principles and
building your own reasoning around how to overcome it, that’s fluid
intelligence at work.
This is the part of your intelligence that scientists
believed to be fixed until a few years ago.
Crystallized intelligence is the knowledge base you build up
over time, including facts, the memory of how to perform certain tasks or
actions (like riding a bike) and knowing how to read. This kind of knowledge
constantly grows.
Fluid intelligence reaches its peak during young adulthood
(which is why great mathematicians often have their biggest breakthroughs early
in their lives) and is also closely correlated with the physical size of your
brain, which is why scientists long thought it’s impossible to change – but as
it turns out, that’s not true.
Lesson 2: You can play certain computer games to increase
your working memory.
In 2008, Susanne Jaeggi conducted a study including computer
games of the so-called N-back type. These games usually show you different
elements, one after the other, and then ask you questions for which you have to
remember the element that you saw “N back”, where N can be any number.
For example, if I give you an iPad and show you an A on its
screen, followed by a B and then a C, and I ask you to tell me what the first
letter was (A), this’d be a 2-back game, because you’ll have to remember the
letter that came two positions before the C.
After four weeks of playing these kinds of games, the
participants of the study showed a 40% increase in fluid intelligence tasks.
This was the first time a study in a scientific context had
proven that fluid intelligence can actually be improved with practice. That’s
great news for you and me, and for the 70 million people who already play these
kinds of games created by companies like Lumosity.
Also, games similar to these could even help people with
illnesses like ADHD.
Lesson 3: Transferring your new knowledge from one task to
the other is called far transfer.
Do you know what a meta-study is? It’s a study of studies.
For training working memory, like in the study above, a meta study was
conducted in 2013, which brought up the following issue: while effective in the
short term, most of the results from training working memory could only be
transferred to other, unrelated tasks, in a few cases, and wore off quickly.
To analyze the efficiency of the training, the authors
looked at 23 other studies and their results. The ray of hope in this is that
they did acknowledge the positive results for similar tasks in the short term –
for example, if you play N-back games using words for four weeks, you’ll be
better at other N-back tasks (with non-verbal components) right after completing
your training.
This transfer of learning from one context to another, which
isn’t directly related to it, is called far transfer and is very desirable,
because it makes your learning more effective. Science will still have to
figure that one out, but with the military alone pouring millions of dollars
into this kind of research, we’re likely to see even better games and ways of
mental training in the future.
My personal take-aways
I expected a bunch of hacks and stories about individual’s
productivity, and thought this book, if really good, would be similar to
Smarter Faster Better, but it actually took a lot of time investigating the
status quo and explaining the history of research in learning. I like that.
Dan Hurley is very dedicated and not afraid to take a few
hits himself to move this branch of science forward. That’s admirable and it’s
something that flows through the entire book, which makes it a read well worth
your time.
Smarter Faster Better tells deeply researched stories from professionals around the world to show you how to do what you’re already doing in a better, more efficient way, by focusing on decisions, motivation and the way we set goals.
The Power of Habit is one of my favorite books of all time.
So much in fact, that I’ve given away several copies over the last year. In
March 2016 Charles Duhigg finally published his next book. I don’t mind that it
took four years though, because I know it’s the only way for Charles to go as
deep as he does in his research and preparation.
Smarter Faster Better is slightly more focused on businesses
and teams, but holds just as much valuable information for individuals. His
first book was about why we do what we do. This one’s about how to do what you
do in a better way.
Here are 3 lessons about motivation and goal-setting to help
you live smarter, faster and better:
Remind yourself of long-term goals to stay motivated.
Use the SMART goal framework to set big goals and break themdown into small chunks.
Anticipate distractions.
Ready to start chipping away at those big dreams of yours?
Let’s go for it!
Lesson 1: Use small reminders to stay motivated for
long-term goals.
Setting goals is fun. Setting big goals is even more fun.
Everyone loves it. Especially with December 31st approaching, millions of
people set out for grand achievements…
…and then they fail.
Why?
Because while setting a huge goal is fun, working every day
for years to achieve it isn’t.
It was easy for me to say: “You know what? I’ll just write
365 book summaries next year. I’ll publish one every single day.” The hard part
is still showing up every day, after over 6 months, and actually writing them.
What helps me stay on track (most of the time anyways), is
envisioning and reminding myself of the goal. There’s a number in my site’s
dashboard, which shows how many posts I’ve written. I want to log in at the end
of the year and see a big, fat, 365 standing there.
You can stay motivated when working towards a big goal too,
as long as you keep reminding yourself what you’re working towards.
For example, if you want to come up with a crazy good new
set of headphones, which adapts to people’s individual hearing, you’ll probably
have to start with reading a lot of scientific research papers. These are often
boring, and likely to put you to sleep. Writing “This will help me build the
world’s best headphones” in big, bold letters across the top will help remind
you of the paper’s purpose and get you to pull through.
Lesson 2: Set goals with the SMART goal framework to make
them manageable.
Aside from staying motivated on goals, which take a while to
accomplish, it also helps to break them down into manageable chunks. Big goals
shouldn’t scare you, tackling them without a plan is what to be afraid of.
Charles Duhigg suggests something called the SMART goal
framework, which is an acronym for the five criteria your goals should fulfill:
Specific.
Measurable.
Attainable.
Realistic.
Time-bound.
For example, if you want to write a book, you can first be
specific by saying you’ll write a book about habits, that spans three parts
with 30 chapters, with no more than 300 pages in total. Your progress then
becomes measurable, and you can strive to write, say, two page drafts every
day. This goal is attainable, but you should still stay realistic about it: you
probably won’t be able to write that much every day and lots of edits will have
to be done, so you’ll likely take longer than just 150 days, but that’s alright,
because at least you now have a time-bound schedule – even if it changes over
time (and it will) you can already see the finish line of your goal.
Note: John Lee Dumas from Entrepreneur On Fire has created a
really cool tool called The Freedom Journal, to help you set and stay on track
with your SMART goals.
Lesson 3: Deal with distractions in advance by making a plan
for when they occur.
There’s a famous Woody Allen quote:
“If you want to make God laugh, tell him about your plans.”
– Woody Allen
While a good plan is nothing to scoff at, it’s true that no
plan ever gets executed exactly as planned. Distractions, unforeseen problems
and speed bumps will happen, and though you can’t possibly prepare for all of
them, anticipating some of them in advance is your best bet at sticking to the
schedule.
For example, if you know that at least one day each week
gets sucked up entirely by responding to emails and phone calls, you’d be best
off by blocking your emails from hitting your inbox during the time you’ve
scheduled for writing your two daily pages.
Anticipation is the enemy of distraction. The best way to
deal with distractions is to keep them from happening in the first place,
whenever you can.
My personal take-aways
I’m not going to waste a lot of time discussing this. Charles Duhigg is gold. Just go and get this book!
Smarter
Faster Better by Charles Duhigg
Hardcover
| Audiobook
Smarter
Faster Better Summary
The
Book in Three Sentences
“Productivity
is the name we give our attempts to figure out the best uses of our energy,
intellect, and time as we try to seize the most meaningful rewards with the least
wasted effort.”
Motivation
is more like a skill—it can be learned and honed.
Making
good choices relies on forecasting the future.
The
Five Big Ideas
To
motivate yourself, you must believe you have autonomy over your actions and
surroundings.
“People
who are particularly good at managing their attention are in the habit of
telling themselves stories all the time.”
“Experiments
have shown that people with SMART goals are more likely to seize on the easiest
tasks, to become obsessed with finishing projects, and to freeze on priorities
once a goal has been set.”
“Good
decision making is contingent on a basic ability to envision what happens
next.”
“Innovation
becomes more likely when old ideas are mixed in new ways.”
Smarter
Faster Better Summary
“Productivity
put simply, is the name we give our attempts to figure out the best uses of our
energy, intellect, and time as we try to seize the most meaningful rewards with
the least wasted effort.”
“Motivation
is more like a skill, akin to reading or writing, that can be learned and
honed.”
“The
trick [to motivation], researchers say, is realizing that a prerequisite to
motivation is believing we have authority over our actions and surroundings. To
motivate ourselves, we must feel like we are in control.”
“When
people believe they are in control, they tend to work harder and push
themselves more.”
“One
way to prove to ourselves that we are in control is by making decisions.”
“The
first step in creating drive is giving people opportunities to make choices
that provide them with a sense of autonomy and self-determination.”
“This
is a useful lesson for anyone hoping to motivate themselves or others because
it suggests an easy method for triggering the will to act: Find a choice,
almost any choice, that allows you to exert control.”
“Motivation
is triggered by making choices that demonstrate to ourselves that we are in
control. The specific choice we make matters less than the assertion of
control.”
“Researchers
have found that people with an internal locus of control tend to praise or
blame themselves for success or failure, rather than assigning responsibility
to things outside their influence.”
“People
with an internal locus of control tend to earn more money, have more friends,
stay married longer, and report greater professional success and satisfaction.”
“Studies
show that someone’s locus of control can be influenced through training and
feedback.”
“The
students who had been praised for their intelligence—who had been primed to
think in terms of things they could not influence—were much more likely to
focus on the easier puzzles during the second round of play, even though they
had been complimented for being smart. They were less motivated to push
themselves. They later said the experiment wasn’t much fun. In contrast,
students who had been praised for their hard work—who were encouraged to frame
the experience in terms of self-determination—went to the hard puzzles. They
worked longer and scored better. They later said they had a great time.”
“If
you can link something hard to a choice you care about, it makes the task
easier. Make a chore into a meaningful decision, and self-motivation will
emerge.”
“If
you give people an opportunity to feel a sense of control and let them practice
making choices, they can learn to exert willpower. Once people know how to make
self-directed choices into a habit, motivation becomes more automatic.”
“Moreover,
to teach ourselves to self-motivate more easily, we need to learn to see our
choices not just as expressions of control but also as affirmations of our
values and goals.”
“The
choices that are most powerful in generating motivation, in other words, are
decisions that do two things: They convince us we’re in control and they endow
our actions with larger meaning.”
“An
internal locus of control emerges when we develop a mental habit of
transforming chores into meaningful choices when we assert that we have
authority over our lives.”
“When
we start a new task or confront an unpleasant chore, we should take a moment to
ask ourselves ‘why.’”
“Once
we start asking why, those small tasks become pieces of a larger constellation
of meaningful projects, goals, and values. We start to recognize how small
chores can have outsized emotional rewards because they prove to ourselves that
we are making meaningful choices, that we are genuinely in control of our own
lives.”
Self-motivation
flourishes when we realize that replying to an email or helping a coworker, on
its own, might be relatively unimportant. But it is part of a bigger project
that we believe in, that we want to achieve, that we have chosen to do.
Self-motivation
is a choice we make because it is part of something bigger and more emotionally
rewarding than the immediate task that needs doing.
“Self-motivation
becomes easier when we see our choices as affirmations of our deeper values and
goals.”
“Teams
succeed when everyone feels like they can speak up and when members show they
are sensitive to how one another feels.”
“Cognitive
tunneling can cause people to become overly focused on whatever is directly in
front of their eyes or become preoccupied with immediate tasks.”
“Once
in a cognitive tunnel, we lose our ability to direct our focus. Instead, we
latch on to the easiest and most obvious stimulus, often at the cost of common
sense.”
“Reactive
thinking is at the core of how we allocate our attention, and in many settings,
it’s a tremendous asset.”
“Reactive
thinking is how we build habits, and it’s why to-do lists and calendar alerts
are so helpful: Rather than needing to decide what to do next, we can take
advantage of our reactive instincts and automatically proceed. Reactive
thinking, in a sense, outsources the choices and control that, in other
settings, create motivation.”
“The
downside of reactive thinking is that habits and reactions can become so
automatic they overpower our judgment.”
People
who are particularly good at managing their attention share certain
characteristics:
They
create pictures in their minds of what they expect to see
They
tell themselves stories about what’s going on as it occurs
They
narrate their own experiences within their heads
They
are more likely to answer questions with anecdotes rather than simple responses
They
say when they daydream, they’re often imagining future conversations
They
visualize their days with more specificity than the rest of us do
“Psychologists
have a phrase for this kind of habitual forecasting: ‘creating mental models.’”
All
people rely on mental models to some degree. We all tell ourselves stories
about how the world works whether we realize we’re doing it or not. But some of
us build more robust models than others. We envision the conversations we’re
going to have with more specificity and imagine what we are going to do later
that day in greater detail. As a result, we’re better at choosing where to
focus and what to ignore.
People
who are particularly good at managing their attention are in the habit of
telling themselves stories all the time. They engage in constant forecasting.
They daydream about the future and then when life clashes with their
imagination, their attention gets snagged.
“Cognitive
tunneling and reactive thinking occur when our mental spotlights go from dim to
bright in a split second. But if we are constantly telling ourselves stories
and creating mental pictures, that beam never fully powers down. It’s always
jumping around inside our heads. And, as a result, when it has to flare to life
in the real world, we’re not blinded by its glare.”
“By
developing a habit of telling ourselves stories about what’s going on around
us, we learn to sharpen where our attention goes.”
“If
you want to make yourself more sensitive to the small details in your work,
cultivate a habit of imagining, as specifically as possible, what you expect to
see and do when you get to your desk. Then you’ll be prone to notice the tiny
ways in which real life deviates from the narrative inside your head.”
“Narrate
your life, as you are living it, and you’ll encode those experiences deeper in
your brain.”
“It
is easier to know what’s ahead when there’s a well-rounded script inside your
head.”
“Mental
models help us by providing a scaffold for the torrent of information that
constantly surrounds us. Models help us choose where to direct our attention,
so we can make decisions, rather than just react.”
“To
become genuinely productive, we must take control of our attention; we must
build mental models that put us firmly in charge.”
“Get
in a pattern of forcing yourself to anticipate what’s next.”
“Experiments
have shown that people with SMART goals are more likely to seize on the easiest
tasks, to become obsessed with finishing projects, and to freeze on priorities
once a goal has been set.”
“Numerous
academic studies have examined the impact of stretch goals, and have
consistently found that forcing people to commit to ambitious, seemingly
out-of-reach objectives can spark outsized jumps in innovation and
productivity.”
“For
a stretch goal to inspire, it often needs to be paired with something like the
SMART system.”
“The
reason why we need both stretch goals and SMART goals is that audaciousness, on
its own, can be terrifying. It’s often not clear how to start on a stretch
goal. And so, for a stretch goal to become more than just an aspiration, we
need a disciplined mindset to show us how to turn a far-off objective into a
series of realistic short-term aims.”
“Stretch
goals can spark remarkable innovations, but only when people have a system for
breaking them into concrete plans.”
“The
problem with many to-do lists is that when we write down a series of short-term
objectives, we are, in effect, allowing our brains to seize on the sense of
satisfaction that each task will deliver. We are encouraging our need for
closure and our tendency to freeze on a goal without asking if it’s the right
aim. The result is that we spend hours answering unimportant emails instead of
writing a big, thoughtful memo—because it feels so satisfying to clean out our
in-box.”
“Come
up with a menu of your biggest ambitions. Dream big and stretch. Describe the
goals that, at first glance, seem impossible, such as starting a company or
running a marathon. Then choose one aim and start breaking it into short-term,
concrete steps. Ask yourself: What realistic progress can you make in the next
day, week, month? How many miles can you realistically run tomorrow and over
the next three weeks? What are the specific, short-term steps along the path to
bigger success? What timeline makes sense? Will you open your store in six
months or a year? How will you measure your progress? Within psychology, these
smaller ambitions are known as “proximal goals,” and repeated studies have
shown that breaking a big ambition into proximal goals makes the large
objective more likely to occur.”
“When
Pychyl writes a to-do list, for instance, he starts by putting a stretch
goal—such as ‘conduct research that explains goal/neurology interface’—at the
top of the page. Underneath comes the nitty gritty: the small tasks that tell
him precisely what to do. ‘Specific: Download grant application. Timeline: By
tomorrow.’”
“Many
of our most important decisions are, in fact, attempts to forecast the future.”
“Good
decision making is contingent on a basic ability to envision what happens
next.”
“Making
good choices relies on forecasting the future. Accurate forecasting requires
exposing ourselves to as many successes and disappointments as possible.”
“How
do we learn to make better decisions? In part, by training ourselves to think
probabilistically.”
“To
[make better decisions]
, we must force ourselves to envision various futures—to
hold contradictory scenarios in our minds simultaneously—and then expose
ourselves to a wide spectrum of successes and failures to develop an intuition
about which forecasts are more or less likely to come true.”
“There
are numerous ways to build a Bayesian instinct. Some of them are as simple as
looking at our past choices and asking ourselves: Why was I so certain things
would turn out one way? Why was I wrong?”
“Innovation
becomes more likely when old ideas are mixed in new ways.”
If
you want to become an “innovation broker” and increase the productivity of your
own creative process, there are three things that can help:
First,
be sensitive to your own experiences. Pay attention to how things make you
think and feel. Look to your own life as creative fodder, and broker your own
experiences into the wider world.
Second,
recognize that the panic and stress you feel as you try to create isn’t a sign
that everything is falling apart. Rather, it’s the condition that helps make us
flexible enough to seize something new. Creative desperation can be critical;
anxiety is what often pushes us to see old ideas in new ways. The path out of
that turmoil is to look at what you know, to reinspect conventions you’ve seen
work and try to apply them to fresh problems. The creative pain should be
embraced.
Finally,
remember that the relief accompanying a creative breakthrough, while sweet, can
also blind us to seeing alternatives. It is critical to maintain some distance
from what we create. Without self-criticism, one idea can quickly crowd out
competitors. But we can regain that critical distance by forcing ourselves to
critique what we’ve already done, by making ourselves look at it from a
completely different perspective.
How
to Stay Focused on Stretch and SMART Goals
Smarter
Faster Better Summary
How
Charles Duhigg focused on his stretch and SMART goal when writing the book.
Key
Terms
Bayes’
rule. The probability of an event, based on conditions that might be related to
the event.
Cognitive
tunneling. An inattentional blindness phenomenon in which you are too focused
on instrumentation, task at hand, internal thought, etc. and not on the present
environment.
Proximal
goals. Short-term goals.
Recommended
Reading
If
you like Smarter Faster Better, you may also enjoy the following books:
Deep
Work: Rules for Focused Success in a Distracted World Book by Cal Newport
The
Checklist Manifesto: How To Get Things Right by Atul Gawande
Smart People Should Build Things explains how the current education system works against the economy by producing an endless string of bankers and consultants, instead of the innovators we need, and how we can encourage more young people to become entrepreneurs to solve this problem.
What’s the most depressing question you can ask a college
student? Here it is:
“What will you do after college?”
Seriously, you can make them go from perfect mood to major
headache in a few seconds with this. With the number of options exploding more
and more and more, how the hell are we supposed to know what to do?
Back when my Dad went to college, you had a choice of a
dozen subjects, mostly the ones you had in school, and then a few dozen
variations and sub-topics of those initial ones. Today you can go to college
for becoming a make-up artist, an animation graphics expert or even a chef. And
that doesn’t even begin to describe the explosion of professions you can choose
from after you graduate.
But Andrew Yang isn’t worried about that. He’s worried about
how we deal with this paradox of choice – by defaulting to a very slim set of
professional services, especially among the most elite schools.
Here are 3 lessons from his book to show you where Harvard,
Princeton and Yale graduates mess up big time:
Half of all elite college graduates land in finance, law or consulting.
After beginning your career in such firms, you’ll be tied down by golden handcuffs.
None of these companies drive the economy forward, startups do.
Interested in what a real economic revolution looks like?
Let’s look at the US education system to find out!
Lesson 1: Around half of all elite college graduates end up
in finance, law or consulting firms – but mostly for the wrong reasons.
In 2013, Princeton sent admission letters to only 1,931
potential students. But how many applied? Over 26,000. That means just 7.29%
actually get into the school. Fewer yet finish the degree they pursue. Other
Ivy League schools show similar admission rates. The few who get in are the
brightest kids in the US, having passed high school with flying colors.
If a few thousand get into those schools, then that also
means a few thousand graduate each year. The big question is: where do the
smartest kids go after they’re through with their top notch education?
In the case of Princeton, the vast majority, around 40% end
up either in finance or in consulting. That means investment banks, the Big
Four, and companies like McKinsey, The Boston Consulting Group or A. T.
Kearney. Another 13% then go on to law school and will end up in big law firms.
What draws half of all these smart people into the world of
professional services? Money and status.
Imagine being respected and congratulated by everyone you
meet for most of your life, because you’re always among the smartest, and then
the world’s college elite. The last thing you’d wanna do is lose that status
after graduating. Plus, the work is a challenge worthy of your skills and it
pays a crap load of money right out the gate. Six-figure starting salaries are
not unusual in these industries.
Lastly, the students affect one another. If your roommate
comes home from his 10th banking interview, it makes you think whether you
shouldn’t try to get one too.
Lesson 2: All of these firms then go on to tie you down with
golden handcuffs.
Elite college graduates are perfectly trained to go through
the tough application process most of these companies have. After all, it’s not
much different from getting into an elite college. What they might not be a
good fit for, however, is the work that follows.
Hard work, long hours, repetitive tasks, lots of travel and
an environment intolerant of mistakes make it tough to stay with these firms.
Inside those industries, a common motto is “up or out” – you either get
promoted every 2-3 years, or you’re fired. Employee turnover can exceed 30%
annually, depending on the company. That means you likely won’t see one of your
two cubicle neighbors again next year.
The only thing that might be harder than staying with these
companies is leaving them. According to Andrew, they’ll tie you down with what
he calls “golden handcuffs.” The money, the benefits, like cars, food and
hotels, the people you get access to, it’s hard to leave these things behind.
The longer you stay, the bigger this problem will get.
Also, the small- to medium-sized businesses that you’d like
to be your alternative often don’t need as many specialists, look for people
with different skill sets and start hiring within their network (especially
true for startups).
Once you’re in, it’s hard to get out. So maybe you should
think twice about entering this race in the first place.
Lesson 3: Big, professional companies don’t drive the
economy forward, startups do, because that’s where innovation happens.
Now you might say: “What’s so bad about many people joining
these companies? Don’t they carry the economy and create lots of value?”
Sadly, that’s not the case. Not just a part, but in fact ALL
net job growth can be attributed to new companies. Big firms don’t add to job
growth at all. As companies get bigger, most of them try to automate as much as
they can and find out how they can reduce the number of employees, not increase
it.
How about technological innovation then? Same thing.
Companies with less than 500 employees file for 13 times as many patents – per
employee.
The value big banks and consulting firms create is doubtful
at best, since most of the advice consultants give revolves around cutting
costs, firing people and outsourcing work that can be done cheaper elsewhere.
And banks…a lot of their revenue comes from trading, which is a zero sum game,
since each win for one party is based on a loss for another.
The problem with all this is that big corporations are
getting the lead over new businesses. Less than five year old businesses used
to make up one half of all companies – by now it’s less than one third. Since
2008, the majority of US workers is employed at companies with 500+ employees.
Big companies don’t create jobs and they don’t move the
economy forward. Yet, they keep growing and less people start their own thing.
This is where you come in play. If you’re a smart, elite college graduate,
please choose yourself.
My personal take-aways
Wow, this felt like a rant from the heart. Both my own and
Andrew Yang’s. I think our stance is clear. If you’re now in doubt about your
next career move, I hope it’ll be food for thought.
Rookie Smarts argues against experience and for a mindset of learning in the modern workplace, due to knowledge growing and changing fast, which gives rookies a competitive advantage, as they’re not bound by common practices and the status quo.
Liz Wiseman runs a leadership research and development group
right in the heart of Silicon Valley. She’s written multiple bestsellers about
work and leadership, Rookie Smarts being the most recent one, published in
2014.
The book brings a very fresh perspective into the working
world, as it argues against experience and for hiring rookies, who seem to not
know much – at first.
Liz says because rookies are incredible learners and not
afraid to make mistakes, they actually have an edge over experienced workers,
who might be too set in their ways to find creative solutions for uncommon
problems.
Whether you’re a rookie or not, you can definitely learn
something about cultivating the right mindset from these 3 lessons from the
book:
The world’s knowledge changes so fast, it makes rookies a
necessity.
Rookies can have more expertise than their peers, just
because they ask questions and get help.
Even if you’re not a rookie anymore, you can regain rookie
smarts by putting yourself into learning mode.
Ready to be rookiefied? Here we go!
Lesson 1: Rookies are a necessity, because the world’s
knowledge changes rapidly.
We all talk about how fast-paced our world has become. But
most of us don’t really have an idea of exactly how fast-paced it actually is.
In the 1980’s, architect Buckminster Fuller published a book
that explained how it had taken 1500 years for the knowledge from year 1 in our
calendar to double. Then we doubled again in 250 years. Then 150.
The speed with which knowledge doubled became faster and
faster, due to things like the printing press, radio, TV, and, most recently,
of course, the internet.
Right now, the entire knowledge of humankind doubles every
12 months. Everything we’ve learned in the past 2016 years will be twice as
much in 2017.
Do you see how insane that is? What’s more, with
nanotechnology around the corner, companies like IBM predict that we’ll
eventually end up at the ludicrous rate of 12 hours per knowledge doubling.
That also means a lot of knowledge becomes outdated fast.
Right now we face an annual knowledge relevance decay rate of about 15%. That
means 15% of our entire knowledge becomes useless each year.
If you work in high tech, that might go up to 30%.
Therefore, if you have a high-tech job for 3 years, you’ll have to forget and
re-learn everything you know.
And that’s where rookies excel. They aren’t set in their
ways and have no substantial knowledge base to build upon, whereas it will be a
lot harder for someone with decades of experience to let go of it and accept
that they have to start over.
Lesson 2: When you ask questions and get help, you can
outsmart experienced co-workers, even if you’re a rookie.
In some cases, rookies will even outsmart their experienced
co-workers from the get-go.
How?
By asking a lot of questions.
Imagine you’ve run an ice cream stand for 20 years. How
likely would you be to let someone else tell you how to do it? The experience
and confidence you’ve built up over the years has led to something called
opinion stasis, where it’s hard for you to change your ways.
People with opinion stasis often also pick their friends
accordingly, and make sure they carry the same views and opinions, making it
even harder to get fresh ideas into their head.
If you’re a rookie, you’ll likely want to learn from as many
experts as possible. After all, you have no clue how to do it!
Liz says rookies reach out to experts 40% more than
experienced workers, plus contact 6 times as many experts for feedback. Asking
for help is nothing to be ashamed of and can give rookies an advantage in terms
of expertise (by as much as 5 to 25 times).
Lesson 3: If you’re no longer a rookie, you can still regain
rookie smarts by putting yourself into learning mode.
Okay, so you’re no longer a rookie. Does that mean you’re
doomed?
Of course not!
Being a rookie is a mindset anyone can cultivate.
Just open yourself to new ideas, throw out your ancient notes
and take a fresh start at something you’ve done for years. Think back to the
time when you started the job – maybe even grab a picture from way back then
and pin it to your desktop, so you’ll have a reminder.
Volunteer somewhere outside work to do something you’ve
never done, or swap jobs with a co-worker for a day. Buy a business book you’re
skeptical about and read it in one go, and have lunch with a bunch of rookies.
All of this will help you get into learning mode, see the
world with new eyes and stay a rookie at heart.
My personal take-aways
Since I’m a rookie, I’m obviously biased towards the message
of this book. However, even at my age I see the trend, be it in books or the
real world, to prefer experienced workers over newbies.
In some cases, this makes sense. When I had my blood taken 2
days ago, you can bet that I was relieved when the nurse, who came in, was 50
years old, not 21. Who would want to have their arm stabbed, swollen and blue
from someone missing the artery, after all?
However, that young nurse might have an idea to make the
process better altogether. I love what this book tells us, not only because it
talks in my favor, but because I’ve already seen it’s true, especially in the
internet space.
So many things I’ve learned in the past 1.5 years about
blogging, social media and content marketing, have become moot already, because
new alternatives have replaced them or rendered them unnecessary.
The summary has lots of relevant info and if you’re then
ready to become a perpetual rookie (and find out what that is) I suggest you
buy this book 🙂
Get Smart reveals how you can access more of your brain’s power through simple, actionable brain training techniques that’ll spark your creativity, make you look for the positive and help you achieve your goals faster.
If you’ve ever been told to “eat a frog” when faced with an
unpleasant task, the name Brian Tracy might ring a bell. While not having
invented the phrase, his book Eat That Frog! is one of the most popular
productivity books worldwide. Brian has provided leadership coaching, sales
training and psychology advice through his work and books for over three
decades now.
Get Smart! is his latest book and it dissects the thinking
abilities of the best performers in a variety of professional fields. The book
introduces you to various ways of thinking, which it then backs up with
actionable tactics to adopt them.
Here are my 3 favorites:
Always look for the big picture, even if you might not see it clearly.
Think slowly and make time to understand your goals.
Avoid mechanical thinking at all costs.
A huge proportion of intelligence has nothing to do with IQ.
Today, we’ll expand that proportion. Time to get smarter!
Lesson 1: Try to see things in their entirety, even if you
might fail.
You might have heard that we only use 10%, or 2%, or some
low share of our brain. That’s a myth. We don’t use all of our brain’s cells
simultaneously, but we do use 100% over the course of a 24-hour day. What we
use them for, however, is a different story.
When I started my seminar on family business this semester,
the teacher told us a story.
There is an old, Buddhist monastery, where all the monks are
blind. One day, an elephant shows up in front of the main gate. This animal is
entirely unknown to the monks and so six men rush outside to examine it. The
first monk touches the elephant’s ear and concludes the animal’s like a thick
sheet of cloth. The second touches the elephant’s tusk, resuming it is sharp
and pointy. The third feels the leg and thinks an elephant is like a tree. The
fourth puts his hand on its side and says it’s like a wall. The fifth touches
its tail and believes it’s like a rope. The last man feels the elephant’s head
and concludes it’s like a rock.
The men are all right, but all just to some degree. They’ve
all correctly identified one aspect of an elephant, but nobody was able to see
the whole picture. It’s always hard to think of overarching themes and
high-level connections, but at least make an attempt.
Even if you fail to see the whole, you’ll still see more
than most people. And you sure won’t be blind.
Lesson 2: Find unbiased information by making time to think
slowly and consider your path towards your goals.
Brian makes a great analogy about human thoughts: they’re
like bubbles in a champagne glass. Everything is fizzing, all the time, but the
bubbles pop fast too. Often, the spark fizzles out soon and the bubbles were,
well, just filled with air.
A whopping 1,500 words rush through your head every minute,
while at the same time, dozens of cognitive biases work against your quest to
find out what’s true and important. In his 2011 book, Thinking Fast And Slow,
nobel laureate Daniel Kahneman differentiates between the two systems in our
mind: one fast and intuitive, the other slow and deliberate. In our modern
world, very few situations require us to think fast, but that system is where
all information first lands!
It takes a conscious effort to get new input from the fast
system to the slow system and that’s exactly what Brian suggests. Slow down.
Make time for thinking. Especially when it comes to your long-term goals.
10 minutes a day spent on how you can end up where you want
to be in five years will make your champagne fizzle a lot longer.
Lesson 3: Take three precautions to avoid mechanical
thinking.
One style of thinking that’s been systemically trained out
of us for the past 110 years, but is becoming more important by the minute, is
creative thinking. Since the dawn of the assembly line, workers have been
trained to think as mechanically as the machines they operate and now it costs
us dearly.
Mechanical thinking only works in extremes: great successes
or total failures. It blocks our path to improvement. Think of a restaurant you
know that’s had the same menu for 15 years. How long do you think they’ll
remain open? And if so, is that not because of their creativity in other areas?
In today’s world, nothing works forever. Constant learning
is a given. Everything can be improved. Always. To block out mechanical
thinking, Brian Tracy suggests three precautionary measures:
Be clear. Set bold, but straightforward goals and then be
flexible in how you’ll reach them.
Be focused. Spend your time effectively. Don’t chunk it too
much. Do fewer things better.
Concentrate. Spend your time efficiently. Turn off your
phone. Avoid email. Design your environment the right way.
We’re working on robots to take over mechanical labor. We
might as well ditch their way of thinking while we’re at it.
My personal take-aways
This book is straightforward. It introduces you to several scientific ideas from performance psychology, supplemented with little tips to implement the mindsets behind them. If you’re new to this field and are looking for a combination of philosophical ideas about productivity, inspiration and actionable tactics, Get Smart! is a good place to start.