The rake for dredging up filth is to be perfected By Prof Dr Sohail Ansari
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It takes a wise man to handle a lie, a fool had better remain
honest. ~ Norman Douglas
Only bad can be unusual
·
The good news is that, according to the
organization of news papers, every journalist has honed to perfection its knack
for finding something unusual. The bad news is that, according to the
organization of news papers, only bad can be unusual.
·
The good news is that, according to the Obama
administration, the rich will pay for everything. The bad news is that,
according to the Obama administration, you're rich. P. J. O'Rourke
What
is Cause and Effect? - The Danger of Alternative Explanations
The
other problem with causality is that a researcher cannot always guarantee
that their particular manipulation of a variable was the sole reason for the perceived trends
and correlation.
In
a complex experiment, it is often difficult to isolate and neutralize the influence of confounding
variables. This makes it exceptionally
difficult for the researcher to state that their treatment is the sole cause,
so any research program must contain measures to establish the cause and effect
relationship.
Make (something) ineffective by applying an
opposite force or effect.
"Impatience at his frailty began to
neutralize her fear"
In the physical sciences, such
as physics and chemistry, it is fairly easy to establish causality, because a
good experimental design can neutralize any potentially confounding variables. Sociology, at the other extreme, is exceptionally prone to causality issues, because individual humans and social groups vary so wildly and
are subjected to a wide range of external pressures and influences.
For
results to have any meaning, a researcher must make causality the first
priority, simply because it can have such a devastating effect upon validity.
Most experiments with some validity issues can be salvaged, and produce some usable data. An experiment
with no established cause and effect, on the other hand, will be practically
useless and a waste of resources.
How
to Establish Cause and Effect
The first thing to remember
with causality, especially in the non-physical sciences, is that it is
impossible to establish complete causality.
However, the magical figure of
100% proof of causality is what every researcher must strive for, to ensure
that a group of their peers will accept the results. The only way to do this is
through a strong and well-considered experimental design, often containing
pilot studies to establish cause and effect before plowing on with a complex
and expensive study.
The
temporal factor is usually the easiest aspect to neutralize, simply because
most experiments involve administering a treatment and then observing the
effects, giving a linear temporal relationship. In experiments that use historical data, as
with the drinking/depression example, this can be a little more complex. Most
researchers performing such a program will supplement it with a series of
individual case studies, and interviewing a selection of the participants, in depth, will allow the researchers to find
the order of events.
For example, interviewing a sample of the depressed heavy drinkers will
establish whether they felt that they were depressed before they started
drinking or if the depression came later. The process of establishing cause and
effect is a matter of ensuring that the potential influence of 'missing
variables' is minimized.
One
notable example, by the researchers Balnaves and Caputi, looked at the academic
performance of university students and attempted to find a correlation with age. Indeed, they found that older, more mature students
performed significantly better. However, as they
pointed out, you cannot simply say that age causes the effect of making people
into better students. Such a simplistic assumption is called a spurious
relationship, the process of 'leaping to conclusions.'
In fact, there is a whole host of reasons why a mature student performs better: they have more life experience
and confidence, and many feel that it is their last chance to succeed; my
graduation year included a 75-year-old
man, and nobody studied harder! Mature students may well have made a great
financial sacrifice, so they are a little more determined to succeed.
Establishing cause and effect is extremely difficult in this case, so the
researchers interpreted the results very carefully.
Another example is the idea that because people who eat a lot of extra virgin olive oil live for longer, olive oil
makes people live longer. While there is some truth behind this, you have to
remember that most regular olive oil eaters also eat a Mediterranean diet, have
active lifestyles, and generally less stress.
These also have a strong influence, so any such research program should include
studies into the effect of these - this is why a research program is not always
a single experiment but often a series of experiments.
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