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NOTE: If you are unfamiliar with Realistic
Epistemology (Theory of Knowledge), it is suggested
you read An Introduction to
Epistemology, or at least read What
is Philosophical Realism? before reading this
essay.
A Basic
Introduction to the Methods of Science - Part
3
by Jonathan Dolhenty, Ph.D.
The Nature of
Scientific Research
Our word "science" comes from the Latin word
scientia which means true and certain
knowledge based on intrinsic evidence. Virtually
all organized bodies of knowledge can legitimately
called sciences. That is why we can define
philosophy as a science. And that is why we can say
that logic is a science. Sciences in general can be
classified as to whether they are formal
sciences or whether they are empirical
sciences.
Formal sciences are based primarily on deductive
rules. Mathematics, logic, and library science are
such formal sciences. On the other hand, empirical
sciences are based primarily on empiricism and
induction. Chemistry, biology, anthropology, and
sociology are such empirical sciences. It is only
with empirical science that we are concerned
here.
Characteristics and
Assumptions of Empirical Science
Empirical science has certain
characteristics:
- (1) There is an effort to reduce and control
bias. The personal opinions or prejudices of the
empirical scientists must not influence his
investigations and conclusions.
- (2) There is a quest for precision. Terms
used must be defined exactly. Concepts must be
explained accurately and used in a consistent
way. Conclusions must be stated with
precision.
- (3) There is verification of any conclusions
and these conclusions must be self-corrective.
(Actually, any conclusion that is unable to be
falsified, is not a scientific conclusion.)
- (4) There is an empirical attitude, since
observation and experience are the primary means
of obtaining knowledge and induction is the
basic form utilized.
- (5) There is an effort toward theory
construction. A theory is a unified system of
principles, definitions, postulates, and
observations organized in such a way as to most
simply explain interrelationships between
variables.
Empirical science makes certain assumptions:
- (1) Determinism: the universe is orderly,
lawful, and predictable. It would be foolish and
impossible to study a voluntaristic universe,
since there would be no predictability, no
stability, and no order.
- (2) The nature of reality: certain beliefs
about reality are always assumed by the
empirical scientist. There is always a
metaphysics or basic set of beliefs about the
ultimate composition of reality accepted by the
scientist, even though some scientists would
like to deny such an assumption.
Theory and Data in
Empirical Science
The fundamental components of modern science are
(1) particular observations and experimental data,
and (2) general concepts and theories. Theories are
extremely important in empirical science, so let's
take a brief look at what this means.
A theory must be tested experimentally in
order to be scientifically useful. A theory
leads us to expect some observations and not
others. This is a hypothetico-deductive view of
science. If a theory or hypothesis is valid, then
particular observational patterns are expected. The
reasoning process taking place always involves a
variety of background assumptions, auxiliary
hypotheses, and rules of correspondence linking
theoretical and observational terms and
concepts.
Scientists can never test a theory alone, but
only as part of a network of theories. Furthermore,
all data are theory-laden; there is no theory-free
observation. This influences the selection of the
phenomena to be studied, the choice of the
variables to be considered significant, and the
form of the questions asked, which then determines
the kind of answers scientists receive. Scientific
theories are reflected in the assumptions
scientists make about the operation of the
equipment used and about the language in which
observations are reported.
There are four criteria for assessing theories
in normal scientific research:
- (1) Agreement: Does the theory agree
with the data?
- (2) Coherence: Is the theory
coherent? Is it consistent with other accepted
theories and, if possible, is it conceptually
interconnected with them?
- (3) Scope: Is the theory
comprehensive? Is it general? Does it unify
previously disparate domains? Is it supported by
a variety of kinds of evidence? Is it applicable
to a wide range of relevant variables?
- (4) Fertility: Does the theory hold
future promise in encouraging more theory? Does
it generate new hypotheses? Does it suggest new
experiments?
Scientific theories have a hard job to do. They
should define the relevancy of the facts involved;
they should develop systems of classification and a
structure of concepts; they should summarize facts;
they should predict facts; and they should point
out needs for further research. No wonder the
empirical scientist's work is so difficult!
Scientific
Research
There are various types of research activities
undertaken by empirical scientists. A few of them
will be described here so you'll have some
acquaintance with the diverse activities scientists
are involved in.
Analytical Research
The purpose of analytical research is to derive
relationships within a deductive system. It is
deductive, mathematical, historical, philosophical,
legal, and/or linguistic. This is not the primary
type of research used in most of the empirical
sciences, but it does serve an important purpose
nevertheless.
Analytical research points out assumptions and
possible consequences of proposed changes. It is
especially useful in establish criteria for the
evaluation of an innovation.
Examples of analytical research include the
analysis of data through statistical procedures,
the analysis of language through grammar and
linguistics, and the analysis of assumptions and
implications through logical and philosophical
procedures.
Descriptive Research
The purpose of descriptive research is to
describe existing conditions. It includes
correlations, surveys, case studies, direct
observation, cross-cultural studies, and growth
studies. Sometimes such research describes
currently existing conditions so that they can be
modified later. Descriptive research is not the
primary type of research used in most of the
empirical sciences dealing with the physical world,
but it is an important type of research in those
empirical sciences dealing with the social world,
such as anthropology, sociology, and political
science.
The Case Study: A case study is any
relatively detailed description of a single person,
event, institution, or community. Anecdotal studies
are a type of this sort of research.
This type of research has its limitations. Often
it is difficult to determine which factors,
historical or contemporary, are relevant to the
matter or issue under investigation. There has also
been a tendency in this type of research to select
convenient cases rather than those which can either
yield or test hypotheses. Studies into incest and
child molesting are examples.
The Sample Survey: The sample survey
attempts to describe population characteristics by
selecting an unbiased sample and generalizing the
results of the sample to the population from which
it is drawn.
The survey may try to determine attitudes or
opinions. An attitude is the degree of positive or
negative affect associated with some psychological
object. On the other hand, the survey may attempt
to determine questions of fact or information. The
usual instruments used are the interview and the
questionnaire.
Correlational Studies: Correlational
studies show how two or more variables are related
to each other. These studies are also used for
prediction. Sometimes the public confuses
correlations with causes.
The great debate over smoking tobacco is an
example. It is so easy to go from saying, "Smoking
cigarettes is correlated with lung cancer" to
"Smoking cigarettes is the cause of lung cancer." A
correlation is not a cause, so it would be
incorrect to make this transition. If, however, it
is shown conclusively that smoking cigarettes
causes lung cancer, then one would not say the two
are related by correlation, but by a causal
relationship.
Developmental Studies
Developmental studies have become very important
in the behavioral sciences and the health sciences.
There are two methods.
- The longitudinal method is where the
researcher follows the same subjects, either an
individual or a group, throughout some period of
time.
- The cross-sectional method is where the
researcher follows different persons, or
subjects are selected at each stage of
development.
Cross-Cultural Studies
This sort of research has become important
especially in the science of anthropology.
Different cultures or societies are studies and
then compared to one another to see the
similarities and differences.
A great deal of the work performed by Dr.
Margaret Mead was of this type.
Experimental Research
This is the major sort of research performed by
the empirical sciences, especially those dealing
with the physical world such as chemistry, physics,
biology, and medical science.
Experimental research involves the manipulation
and control of independent variables, the
consistent control of observations, and the attempt
to draw conclusions regarding relationships between
independent variables and dependent variables. The
independent variable is the variable being
manipulated by the researcher. The dependent
variable is what happens or changes as a result
of such manipulation.
Experimental research is particularly valuable
to test causal relationships. It is useful in
comparing experimental groups with non-experimental
groups by systematically varying the conditions of
the experiment. In this way, the real effect of a
proposed innovation can be shown. Medical science
uses this method most of the time to test drugs and
innovative medical procedures.
The Problem of
Evidence
The empirical sciences use evidence as the
foundation for scientific knowledge. Evidence is
sometimes confused with "proof," but these are two
quite different things. A "proof" results from
a proper deductive argument wherein, if the
premises of the argument are true and the rules of
logic are correctly followed, a conclusion that is
"proved" follows by necessity. It is evidence,
however, that we are concerned with here.
We can generally consider evidence as the light
of truth shining into the mind and making it see.
It is the understandable object or thing as clearly
known. We have already seen that sometimes evidence
is immediate and requires no thinking out or act of
reasoning through which it can be made to appear.
An immediately evident truth is called
self-evident.
Most of the time, however, truth does not
immediately appear and must be sought by other
means. When we have to seek out truth through the
act of reasoning, it is called mediate
evidence.
To be of any value to us, evidence must be
objective. It must not be just a feeling, or just a
particular point of view, or just a matter of
personal taste. In other words, it must not be
subjective. Objective evidence is the criterion of
truth, the ultimate basis of certitude.
There are two avenues by which we can find
evidence: the physical senses and the intellect.
These are the sources of truth and certitude.
Rightly used, the senses are infallible.
They are rightly used only when all these
requirements are observed:
- (1) A sense must be employed upon its proper
object.
- (2) A sense-organ must be sound and not
defective.
- (3) The medium in which the sense is used
must be suitable.
- (4) The proper object itself must be so
presented to the sense-organ as to lie within
the normal range of that organ's activity.
- (5) The sense-organ must be given sufficient
time for its normal function.
When the above requirements are met, the senses
can be the source of valid evidence and can be the
remote source of intellectual certitude.
The second factor is the human intellect. The
intellect uses ideas to form judgments. Judgments
are used in the process of reasoning. If our ideas
are legitimately derived from sense knowledge, then
our ideas are reliable and can be used to form
judgments which express truth with certitude. In
judging, the intellect accepts the evidence which
the ideas afford.
Now, the intellect can make erroneous judgments.
These are made through accidental causes, the most
important of which is presumption. Presumption
leads the intellect to judge upon ideas that are
obscure or leaps impatiently to a judgment without
performing the work necessary to forming a true
judgment. Erroneous judgments come, not from
evidence, but from the lack of it or the failure to
take it.
Every scientist would like to establish all his
knowledge by means of direct and irrefutable
observation. This ideal, however, is impossible
since human knowledge has expanded to the point
where no one person can know everything there is to
know and make personal investigations into every
nook and cranny of reality.
The professional scientist (and all of us, for
that matter) must rely on the observation and
testimony of others for much of the knowledge we
gain and for the evidence and proofs which make
that knowledge certain.
Testimony
Testimonial evidence is the information or
evidence obtained from competent and reliable
witnesses. These witnesses
- should have observed the facts in
question,
- are competent mentally and physically to
judge of the true state of the facts
observed,
- and are reliable in giving trustworthy and
truthful account of their observations.
When the above conditions are met, the
testimonial evidence will lead to either certitude
or a high degree of probability.
We all know, of course, that witness testimony
is not always perfect. Evidence of this type is
based on perception, memory, and narration. The
same witnesses to an auto accident may disagree as
to what they perceived at the time. If a
substantial length of time has elapsed since the
witnesses actually saw the accident, any report
they give may contain errors because of memory.
Furthermore, not all witnesses are adept at
expressing themselves well, so there may be fault
found in their narrative of the circumstances of
the accident.
All testimony, then, must be submitted to a
number of logical tests:
- The testimony of a witness must be
self-consistent. (A contradiction in the
testimony would be a serious problem.)
- The testimony must be in agreement with
other established facts. (Again there should be
no contradiction between the facts the witness
relates and other independent facts. This is why
the more witnesses the better.)
- The testimony must be in accordance with the
known laws of the intrinsic possibilities of the
event. (The event must be in accordance with the
scientifically established laws of nature.)
If the testimony of the witnesses survives these
tests, it is reasonable to accept the testimony as
true. Even so, however, a critical attitude should
be maintained. Witness evidence surviving the above
tests could still be shown later to be false or
mistaken or unreliable.
Circumstantial
Evidence
Sometimes it is not possible to obtain evidence
through direct observation or direct testimony.
Circumstantial evidence can sometimes show the way
to truth. Circumstantial evidence includes those
relevant circumstances or facts which enable us to
draw legitimate inferences to some principal fact,
wherein this fact then explains the existence and
presence of these relevant circumstances or
facts.
Circumstantial evidence is really in the nature
of a hypothesis. Some event has occurred and there
must be some cause for the occurrence. Various
possibilities are present as to the identity of
this cause, but only one of these possibilities can
actually be true.
The logical procedure, therefore, is as
follows:
- Eliminate all possible causes except the
true cause by showing that the relevant
circumstances of the case cannot be accounted
for under any other supposition
(hypothesis).
- The sole true cause is thus inferred from
the circumstantial evidence surrounding the
occurrence of the event.
Even so, circumstantial evidence is not
fool-proof. It is much better if a number of
significant and relevant circumstances unite in
order to provide what is called convergent
evidence. The greater the number and the more
varied their character, the higher is the degree of
probability that they contain the correct solution
of the problem.
It must be kept in mind that circumstantial
evidence is exposed to the serious danger of abuse
and misinterpretation. The more facts obtained the
better, since the cumulative force of a number of
convergent facts may point to one cause beyond a
reasonable doubt.
Logic and Evidence in
the Courtroom
The courtroom is where the art and science of
logic and the presentation of evidence reaches an
important zenith. It is here where life and liberty
may be at stake.
The legal system distinguishes between two
degrees of proof:
- (1) A proposition is established simply with
a probability of over one-half. This is called a
preponderance of evidence.
- (2) A proposition is established with a
degree of probability differing from certainty
by so little, that anyone who acts upon the
difference would be regarded as unreasonable.
This degree is called proof beyond a reasonable
doubt.
The first degree of probability is sufficient in
cases involving civil law, such as a lawsuit. The
second degree of probability is required in cases
involving criminal law, such as a trial for murder
or rape.
The evidence in a courtroom is usually
classified as either testimonial or circumstantial.
Testimonial evidence, as we have already seen, is
the assertion of a human being as to the existence
of the facts at issue. Circumstantial evidence is
the production or citation of any other fact by
inference from which the facts at issue are to be
decided.
The legal system has its own technical rules as
to the admissibility of evidence. These rules have
been formulated based on the cumulative experience
of attorneys, jurists, and others involved in the
legal system. These rules, however, have a logical
foundation. A good prosecutor or defense attorney
always has a basic knowledge of the science of
logic.
Probability
Knowledge of the truth with certitude is the
goal of science and philosophy. The two extremes of
the knowledge spectrum are complete ignorance on
the one end with complete certitude on the other.
Between these two extremes is the realm of
probability.
Considered subjectively, probability is that
state of the intellect in which the intellect
decides for the truth of a judgment, but with the
fear of the possibility of error.
Considered objectively, probability is that
condition or quality of things and facts, when
present to the intellect, which enables it to
decide for the truth of a judgment concerning these
things and facts, but with the fear of the
possibility of error.
We can never know everything with certitude. In
fact, most of our knowledge amounts to nothing more
than probability. Science itself must be satisfied
with approximations to truth and certitude. Most of
the time we have only probable truth.
Science makes use of various forms of
argumentation and method which lead to results
which are probably true. Two of these we have
described above: testimony and circumstantial
evidence. There are three additional methods which
we will now discuss.
Argument by
Analogy
Analogy refers to that reasoning process whereby
the intellect concludes from the known
characteristics of one thing or group of things to
the unknown characteristics of another thing or
group of things because of a recognized resemblance
existing between them.
- The Earth and Mars resemble each other in
many respects. Both are planets in the same
solar system. Their distances relative to the
sun are approximately the same. They have
similar atmosphere, seasons, temperature, and
diurnal revolution. From these resemblances we
are inclined to conclude that Mars, like Earth,
is inhabited.
- When the apple fell from the tree to the
ground, Isaac Newton concluded by analogy to the
universal law of gravitation governing the
movements of the bodies in space.
An inference by analogy, of course, only leads
to a conclusion which is probable. It is not
certain. If the things or facts compared were known
to be perfectly alike, the conclusion could be
certain. But this does not happen since no two
things or facts are perfectly alike in all details.
They always have differences, no matter how slight,
as well as resemblances.
Furthermore, not all resemblances are important;
only significant resemblances have value.
Significant resemblances are those which are
essential or closely connected with the essence of
the thing.
A large number of significant resemblances will
secure a greater degree of probability and bring
the conclusion closer to certainty. But it will
always remain difficult to distinguish between
those resemblances which are significant and those
which are insignificant. Therefore, an argument by
analogy must be used with caution.
Arguments Using
Statistics
Statistics are the classification and evaluation
of group phenomena by an analysis of data supplied
by enumeration and measurement. Most of us are
bombarded with statistics. Scientific studies use
statistics in evaluating and presenting their
conclusions. Politicians use statistics to justify
their proposed social policies. Even television
commercials and magazine advertisements use
statistics to pressure you to buy some product.
In the empirical sciences, it is necessary to
use instruments of measurement in order to
eliminate as much as possible the personal biases
and opinions of the individual observers. The
instruments themselves are also subject to
inaccuracy. Absolutely exact measurements are
virtually impossible to obtain. Statistics then
becomes a valuable tool for the scientist.
Statistical methods are used to correct as far as
possible any errors of observation or
instrumentation.
The biological and behavioral sciences study
events and things which are highly variable and
very complex. Statistical analyses are often the
only reliable means to obtain scientific knowledge.
So the value of statistics is great as long as
these methods are used properly.
The principle of inference in the statistical
method is the inductive principle of concluding
from the characteristics of a large number of parts
to those of the whole. Of course, from a strictly
logical point of view, it is impossible to argue
from the part to the whole with logical necessity.
What is true of some part need not be true of all.
Properly used statistical methods can, however, get
us around this problem.
When the enumeration of events is practically
complete, or when it can be fairly well determined
that the characteristics in question are
fundamental, such a conclusion carries with it a
very high degree of probability.
The following steps are necessary in making
statistics:
- The problem must be defined with precision.
Then only those investigations will be made that
are pertinent to the particular problem in
question.
- The material must be collected according to
the requirements of the problem and chosen from
as wide a field as possible. This then makes the
facts truly representative of the class.
- After the material has been collected, the
data must be tabulated in a manner that
coincides with the purpose of the chosen
problem.
- A summary must be prepared of the
significant features of the tabulated material
in a clear, concise, intelligible survey, many
times using graphs and tables.
- The statistician must present a critical
analysis of the data, explaining what
conclusions follow necessarily from the facts
and figures obtained during the
investigation.
The major problem encountered in the use of
statistical methods seems to be in the
interpretation of the data and the conclusions. If
the investigation is to be of any real scientific
value, the data must be correctly interpreted.
Unfortunately, it is all too often the case these
days that someone, for political or other reasons,
will improperly use statistics to mislead or
deceive. There is an old saying: "Statistics don't
lie, but liars use statistics." Statistical
information needs to be challenged when any
appearance of bias or prejudice or passion is
evident.
There are some dangers, then, of the statistical
method that we should all become familiar with.
Here are a few of them:
- Looseness in definitions or the same term
used with different meanings.
- Inconsistency among the statisticians in
viewing the nature of the problem under
investigation.
- The collected data may not be representative
and present a true picture of the problem.
- The selection of the data from a field has
been arbitrarily restricted and the data does
snot cover the real problem in its
entirely.
- Drawing conclusions from poorly or
incompletely selected data, so the data is not
truly representative.
- Preconceptions and the desires of the
investigators unduly influence the collection of
the data, the analysis of the data, and the
conclusions drawn from the data.
It should be kept in mind that some "scientific"
studies in the past have been shown to be
fraudulent. Others have been shown to contain
errors. Fortunately, empirical science is
self-corrective and any mistakes, deceptions, or
misinterpretations are eventually found out.
Abuses of the
Scientific Method
There are many ways in which the rules of logic
are used to give the appearance of rigor to
arguments which fail to prove their conclusions.
The rules of logical thinking are a matter of
habituation, not just of knowing what they are. If
these rules of correct thinking are not adopted and
used consistently by the participants in an
argument, no amount of intellectual knowledge of
them or commitment to them will have any value. If
the rules of logical thinking are abused, then the
participants in any debate are the losers. Since
scientific methodology is also a child of ordinary
logical analysis, any abuse of the scientific
method in an argument should be taken seriously.
There are many possible abuses of scientific method
and they all can't be discussed here, nor should
they be since this is an essay for the ordinary
thinking person and not those involved in
professional science. It might be useful, however,
to take a look at a few of the more flagrant abuses
which can occur.
Reductionism
Scientific method is largely concerned with the
analysis of objects into their constituent
elements. This fact leads to a common misconception
that science identifies objects with their
elements. This is not, however, true. Sciences
analyzes objects into elements that are related to
each other in certain ways, so that if the same
elements were related in different ways they would
constitute other objects.
Two erroneous views result from this
misunderstanding and need to be discussed
briefly.
Science Denies the
Reality of the Connecting Relations
This is simply not true. This erroneous view can
occur in philosophical thinking as well as in
science and even ordinary people are not exempt
from sneaking this error into their ordinary
thinking.
This error is illustrated by instances of
arguments which depend on regarding material
objects as nothing but atoms, or a book as nothing
but the words contained within it, or an oil
painting as nothing more than the oil paints,
colors, and canvas of which it is constituted. A
common error of this type is to think of human
society as nothing more than the individuals which
constitute it. This latter case is often argued by
those promoting an extreme autonomous
individualism. It could just as well be argued that
a family is nothing more than the individuals
making it up, a mere collection of atoms having
nothing essentially in common. This type of
thinking means to reduce the whole to nothing more
than its parts. This is why it's called
reductionism.
While it is true that science is concerned with
analyzing objects into their constituent parts, it
is not true that science identifies objects with
their elements. What science does do, as was stated
above, is analyze objects into elements related to
or connected to each other in certain ways. A chair
is composed of atoms, molecules of elements, wood,
plastic, metal, or whatever. But these items are
the same as the chair. The chair is, in a sense,
more than just the items of which it is composed.
The elements composing the chair are related or
connected in a certain way. If this was not true,
it would not be a chair but something else.
Similarly, we say that a family is more than
just the individuals making it up. A family is not
just a group of individuals, but a group of
individuals related or connected in a certain way.
Without this relatedness or connection, a group of
individuals would not constitute a family. The same
thing can be said about a society. It is not just a
group of individuals, but individuals related or
connected to one another in a certain way. If they
were not connected in this way, they would not
constitute a society, but something else.
Science is a
Falsification of Reality
Those who make the first error above, then
usually go on to make this second error. What is
the nature of reality? Many unthinking people,
usually with a smattering of scientific information
(a little knowledge is a dangerous thing!) will
argue that reality is nothing but atoms or
recently, since quantum theory has become popular,
reality is nothing more than quanta of energy or,
some who have really gone off the deep end will
argue that reality is really NOTHING, period.
Empirical science, of course, does not falsify
reality. The problem here is that the elementary
"particles" which constitute larger material
objects have a different mode of existence or mode
of "being" than the common material objects of our
ordinary experience. The mode of existence of the
material constituents of a physical body cannot be
the same when those constituents exist in isolation
and when they enter into the constitution of an
actual material body. So, when the chair, for
instance, exists "actually" as one material being,
the multitude of atoms and elementary particles
which constitute it exist only "virtually." Since
their existence is only virtual, so is their
collective existence. What exists virtually has
less reality than what exists actually. If the
chair upon which we sit were to be destroyed and
reduced to its material constituents, the
elementary particles would assume the mode of
actual existence as they do when they are isolated
(as in a cyclotron).
There is no conflict between the world of large
material objects we directly experience and the
world of subatomic particles which we do not
directly experience, but know only by indirect
means. The subatomic world is not the reality we
experience as Reality. The physicist who describes
this world of elementary particles is not
describing Actual Reality. He is really describing
a virtual reality which can, under the right
circumstances, become an actual reality.
We know that water is composed of hydrogen and
oxygen. What we ordinarily mean by water is a fluid
with definite, familiar properties, which are not
those, however, of oxygen and hydrogen in
isolation. It seems obvious that eight pounds of
oxygen and one pound of hydrogen is not the same as
nine pounds of water. But water can be broken down
into these elements in these same proportions. This
enables us to understand many of the perceptible
characteristics of water. Water is hydrogen and
oxygen combined (related and connected) in a
certain way. Hydrogen and oxygen are only
potentially water until they are combined in this
certain way.
Pseudo-Simplicity
Another abuse that is not uncommon is to claim
that of any two hypotheses, the simpler one is the
true one. It is a fact that science aims at the
simplest account which will systematize the whole
body of available knowledge. The quest for theories
which are simple explanations is certainly to be
desired. But this does the mean that the simpler
theory is the true theory. We must always be
careful about identifying the true with the
apparently simple.
Empirical scientists with a materialistic
metaphysics are prone to this error if they are not
cautious. So are philosophers who opt for a
"monistic" theory of any type. Any attempt to bring
all of reality under a single (monistic) category
is fraught with danger. The philosophy of
Materialism, for instance, argues that there is
nothing in the world but matter, simply because
everything we can intelligibly talk about contains
matter or a reference to it. When the materialist
argues that only matter has real existence, all he
has done is give us a definition of "real
existence." He has not effectively denied that
there are other elements in this world besides
matter. The same can be said for the philosophy of
Spiritualism or Idealism, which denies that matter
exists and only some elusive "spiritual substance"
is real.
There are other types of fallacious thinking
which are related to pseudo-simplicity. It is
sometimes argued that logic requires a unique and
irreversible order between any two concepts or
propositions. For instance, if "A" presupposes "B,"
the converse cannot be true. This, however, ignores
the possibility that there may be two factors which
continually modify each other. Increased
manufacturing may be a cause of increased
consumption but increased consumption may also be
the cause of increased manufacturing. These two
factors may be actually affecting each other.
Another related fallacy is the argument that
things cannot be constant if they change, or change
if they are constant. It is obvious, however, that
there is no change without some constancy and no
constancy except relative to change. Are we to deny
that an individual owes the same debts if he has
changed with respect to age? Are we to deny that
Mount Everest is the same Mount Everest today as it
was a hundred years ago simply because it has
weathered during that time? Are you essentially the
same person you were seven years ago before the
cells of your body replaced themselves, or are you
completely a different person?
Our society today depends so much on scientific
knowledge to help us arrive at truth that we need
to be on constant alert against any abuses which
may arise in the use of the scientific method.
The most likely situation in which scientific
abuses may occur is when empirical science becomes
the unwitting or intentional tool of a particular
social, political, religious, or philosophical
agenda. When this occurs, science ceases to be
a means to knowledge and becomes simply a means of
oppression.
Some examples we have seen in this century,
for instance where science twisted the scientific
method and the results thereof to support the
philosophies of Nazism and Communism, should be
warning enough that we all have a vested interest
in what empirical science is doing and we should
become vigilant observers of the scientific
scene.
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