Today’s post
comes inspired, once again, by way of Will Ruth over at r/strongman. He and I share a nerdy bound over many
different topics, and will have a series of different discussions going on
regarding lifting, strongman, philosophy and general frustrations over all of
the above. He shared the following quote
from Lao Tzu with me, after being disappointed with how it was handled in a
recent article he had read:
“Those who have knowledge, don't predict. Those who predict, don't have knowledge.”
A rebuttal
Before going
further, I’ll cop to the fact that I’m far rustier on my eastern
philosophy/religion/spirituality than I am on western thought, so I’m already
living up to the stereotype of out of touch white dudes trying to ham-fistedly
co-opt eastern philosophy to a separate interest (hello every business student
with a copy of “The Art of War”), but let me at least re-share the story of the
time in undergrad that I asked my philosophy of religion professor “The Tao Te
Ching says ‘the Tao that can be spoke of is not the true Tao’, so does that
mean if I leave the question about Taoism blank on my exam I get an A?” My professor confided in me that, if she had
tenure, she would totally let that happen.
But I have
already digressed before I even began.
Let me just say that I LOVE this quote, and it gets at a ton of great
stuff. And given what I said about
western philosophy being my strong suit, we’ve also heard this exact same
sentiment echoed by Socrates, who was famous for only knowing that he knew
nothing. Socrates annoyed the wisemen
and nobility so much by only knowing that he knew nothing that they made him
drink hemlock, so maybe keep that sh*t to yourself, but the point remains that
this isn’t necessarily an “original” sentiment, but that just goes to strengthen
the truth and value of it. If two
different dudes, held in high esteem by their respective peers and schools of
philosophy, arrived at similar conclusions without collaboration, it’s most
likely worth listening to.
Besides, it will keep the textbook industry afloat
And
honestly, we’ve seen his sentiment reflected with even more modern
psychological research as well, as the ever popular “Dunning-Kruger effect”
highlights. If you’re not privy to the
latest and greatest in internet insults, the basic premise of such effect is
that people who are inept at something are, by definition, too inept to
understand how inept they are at something.
In order to objective evaluate your placement in terms of
skill/knowledge at an activity, you need to possess a high level of said
skill/knowledge to be able to recognize what a low level of it resembles. When you only have a low level of said
skill/knowledge, you can’t actually grasp just how much you DON’T know, so you
falsely assess yourself as possessing greater ability than you actually
do. This results in those that are inept
believing themselves to be quite talented and, in turn, making the kinds of
mistakes that can ONLY be made by people with just enough knowledge to be
dangerous and not enough to be effective.
The truly dumb people recognize that they are too dumb to try anything
stupid, and the truly smart people realize when something is stupid, but those
folks riding that razor’s edge of critical ineptness end up making truly
amazing, catastrophic mistakes as a result of their small degree of knowledge.
Now that my
introduction has taken up the majority of my workspace (the true sign of
someone that spent too long in academia), what is this all getting at in simple
terms? The fact of the matter is, those
that truly have knowledge DON’T predict, because those folks know enough to
know that they don’t know crap. They’ve
both learned enough AND seen enough to know that plan fail at such a comically
frequent rate that it’s almost silly to make them at the first place. Something that we take for granted having
occurred one thousand times out of one thousand will fail us at the exact
moment that we need it to, and suddenly all of our plans fall apart and our
predictions were meaningless. Hume
presented this very notion in his works, that all actions and reactions one
observed were merely coincidental and there was no guarantee of sustained cause
and effect, and it so terrified Kant that he dedicated himself to refuting
Hume’s work, which gave us the categorical imperative, which means we should
all be very mad at Hume. But enough
about that.
Although this trainer could stand to have a little more categorical imperative in his life...
People
without knowledge LOVE to make predictions, and this is because there’s
something SUPER reassuring about predictions.
A prediction is a security blanket: as though one were an oracle, gazing
into the future and seeing events before they unfold. Its soothing in a chaotic world to be able to
say “I know that, if I do 3 sets of 5 reps on squats each time I train, I’ll be
able to add 5lbs to the bar each training session, and if I do it 3 times a
week, I’ll add 15lbs to the bar each week, which means I’m going to increase my
squat by 180lbs in 3 months!” And think
of how little knowledge was needed to make such a prediction! It operates off the premise that progress
itself is predictable, and the outcome mathematical method (the perfect amount
of reps, sets and frequency of movement), as though there are no external
variables such as fatigue or nutrition to manage, or that injuries large or
small can upset the outcome, to say nothing of the chaos of daily existence
throwing a wrench into the plan. The one
without knowledge says “You’ll add 180lbs to your squat in 3 months”, the one
with knowledge says “I will happen when it happens, and no sooner.”
Those with
knowledge have no need for predictions, for there is nothing to be concerned
about when things do not go “according to plan”. Those without knowledge need their
predictions, and they will suffer NO deviation from those predictions, as they
lack the skillset necessary to adapt to and overcome those deviations. A trainee whose toolbox extends only as far
as the number 5 for reps will have no ability to make progress once those sets
of 5 stop working. The trainee who has
knowledge, that made no predictions, did not plan for WHEN those sets of 5 were
going to stop working, but has a solution for when it happens. They tap into that knowledge and come up with
a new way forward, absent, once again, of a prediction for it succeeding, but
at least with a willingness to try it and see if it works. And, if it does, they keep moving forward
until it doesn’t. And, if it doesn’t,
they try something else. Because there
are no guarantees, nothing is set in stone, and if you have knowledge, that’s
nothing to worry about.
I particularly enjoyed this and the preceding one on sacrifice. I don't agree wholeheartedly with everything but they're both thought-provoking in away that is intellectual engaging rather than a more whimsical response of "hmm."
ReplyDeleteOn a different note, I find it curious which of your posts elicit the most responses. Just a curiosity.
Appreciated it dude. That's the biggest thing: it's not so much people agree with what I think on these things, but that THEY start thinking about them too. When people just accept things as given, growth stops happening.
DeleteFor most responses, it's typically the bullet point posts, as they have a lot of jumping off points. But they're also some of my least viewed, so it's interesting.
I have a suggestion of something you might want to write about (although you have already dealt with it elsewhere in part): the difference between predictions and goals. Because I think people (myself included) conflate the two. In part because of being taught to set SMART goes. Which I have to say, I never liked in school because I’d always argue I didn’t know if it was achievable or not; which makes me smile in the context of this blog post.
ReplyDeleteJust saying, you’ve written about goals and predictions so it might be fruitful to discuss them both in the context of one another at some point.