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July 11 2003 | Filed Under Economics , Investing Basics
When speaking or reading about economics, you've probably heard someone drop
the phrase the dismal science. If you did not know what this phrase meant, you
may have dismissed it as a clever joke, or, harboring a secret passion for
experimental observation and beakers, you may have been too shy to question how
on earth any science could be dismal. Looking at what the dismal science is and
why it carries such a depressing name, however, may help you better understand
why you may face uncertainty and contradictions in your investing endeavors.
TUTORIAL: Economics Basics
Origins
The phrase "dismal science" was coined by Thomas Carlyle in response to Thomas
Malthus' beliefs that the exponential population growth would outpace the
linear growth of the world's food supply, resulting in a global famine. Malthus
didn't foresee the leaps in science, such as the development of fertilizer,
that have allowed the earth to support many more people than was previously
imagined. Still, one of the fundamental concepts of economics is the principle
of scarcity - the idea that there will never be enough for everyone. That
dreadful outlook is one of the reasons economics is considered a dismal
science.
Why Economics Isn't Really a Science
In addition to the blunder of Malthus the phrase dismal science refers to the
unreliability of economics in comparison to conventional sciences such as
mathematics, physics or biology. Most sciences work through an initial
explanation of a proposed phenomenon (also known as a hypothesis). The
scientist then forms a model to test and scrutinize this hypothesis until only
the important variables remain. These variables are repeatedly tested to
determine whether they are the causes of the end result. If in fact a variable
can be isolated and determined as the sole cause, then the theory underlying
the hypothesis is referred to as a law. (Please keep in mind that this is a
gross simplification of the scientific method.)
Economics, like science, aims to explain certain phenomenon, but for many
reasons economics cannot fulfill the criteria of the experimental model. To
better understand the constraints on the study of economics, let's take at look
at what the methods of science demand:
Scientific Method Example - Car Door Experiments
So let's say we're studying the phenomenon of why my hand hurts when I slam it
in my car door. For me to use a scientific approach I would form a hypothesis.
Suppose my theory is that it's because I'm wearing an Investopedia T-shirt. To
test this theory, I create a model to test different scenarios and variables.
This model involves slamming my hand in the door while wearing different
shirts, including my Investopedia T-shirt. I eliminate factors (variables) that
don't affect the result (my pain) and I continue testing other variables until
I am left with one that is the cause of my pain: the fact that I'm smashing my
hand in a car door.
After several hairline fractures, I've figured out that the real reason my hand
hurts is not because of the T-shirt I'm wearing, but because a slamming car
door on my hand translates into pain through my nerves. So, a law has been
formed: the Andrew Law, which states that if I slam my hand in a car door with
"X" amount of force, my hand will absorb "Y" amount of energy causing my nerves
to relay "Z" amount of pain to my brain (a gross simplification).
The Uncertainty of Economics
Economics cannot ascertain any clearly defined laws because in the market some
unidentifiable factor always may be influencing a particular event or
phenomena. It's nearly impossible to isolate any given variable in economics,
so the dismal science is mainly based on theories.
These theories may contradict each other, like efficient market hypothesis
(EMH) and behavioral finance, but they may be proven true in certain cases or
even at the same time. Furthermore, when studying economics, evidence often
turns out to be coincidence more than a fact. (Learn more about the EMH in
Working Through The Efficient Market Hypothesis.) Typically, these unreliable
characteristics are a result of three specific things that economists cannot
control:
Un-testable Economy
Unlike other scientists, economist don't have special laboratories where they
can create isolated models to test their hypotheses. A vacuum of the economy
just doesn't exist and cannot be created. Because of this, economists can't
verify or prove their hypotheses as easily as other scientists. For instance,
when Sir Isaac Newton had to repeat his tests for the existence of gravity, all
he needed to do was find more apples to drop from different trees. For my law,
all I needed to do was wear different T-shirts (and eventually stop slamming my
hand in the door). For an economist to test a theory, he or she has to appeal
to different governments to implement a specific change in the economy or, even
worse, wait for them to do so under their own accord and then take the
necessary measurements.
Homo Economicus
Aside from the many different assumptions that economists make when debating
their theories, probably the most hotly debated one is the idea of homo
economicus, or the rational human. Nearly all economic theories assume that
people are rational at all times, that they always prudently allocate their
resources in a predictable manner that is beneficial. Unfortunately, this
doesn't always hold water in the real world. People will gamble even though the
odds are against them; they will forget to go to the supermarket with a
calculator to see if the 32 oz. can of soup is cheaper than the 16 oz. can, and
they don't routinely analyze the opportunity cost of different goods. (Learn
about this theory and more in our Behavioral Finance Tutorial.)
Blind Man's Bluff
Imagine you were blind with a deck of cards laid in front of you and someone
expected you to be able to sort out the three of hearts. We know that there is
a one-in-52 chance of being right and that, if the cards are randomly sorted,
there is no scientific methodology that can help you improve those odds.
However, if you pull the right card, you might attribute it to anything: the
way you reached out, how many breaths you took, the twitch in your right eye -
anything.
Once again you are stuck slicing and applying variables, but you can't repeat
the test with any kind of consistent controls. This is similar to economics:
the number of testable variables is enormous due to the sheer size of the
economy. As a result, there has been little success not only in predicting
phenomena but also in proposing reasons for why observable things happen. The
economy can't be controlled like a math equation or a science experiment, and
there are simply too many variables to test with any sort of reliability and
verifiability.
Conclusion
So there you have it. Next time you see someone dropping the phrase "dismal
science" you can check if he or she uses it correctly; furthermore, you know
that the person using the term could not possibly predict or explain market
events with any smug confidence.
by Andrew Beattie