7C.
Can design be scientific? (medium-long
version)
This section examines arguments
-- practical, methodological, metaphysical, and trivial -- for an Open
Science (that includes theories of design) and a Closed Science. The
basic question is simple: In scientific thinking and education, do we
want to give a higher priority to logic or naturalism?
PRACTICAL Questions
Design theories can be scientifically
useful by improving our search for truth, and by stimulating creativity
and critical thinking.
LOGIC and TRUTH
Logic requires that, during any
intellectually rigorous attempt to explain the origin of an observed
feature, scientists
should consider all possibilities, including both non-design and
design. When we ask, "Has the history of nature included only
origins by non-design?", we should be open-minded in our search for
truth, willing to accept either YES or NO as the answer. Whether
or not design was involved in the origin of a feature, an Open Science
will allow, but cannot guarantee, reaching a correct conclusion.
But if design really did occur, a restrictive Closed
Science (which ignores the possibility of design) will guarantee a false
conclusion. If scientists ignore a theory that might be
true, this does not seem logical.
To help us think about the question,
"Is MN always the best way to do science?", Paul Nelson asks
us to imagine two possible worlds: one world has a history of nature
with all events caused by only natural process, while the other world
has a history of nature that includes both natural and non-natural events.
When we ask, "Which type of world do we actually live in?",
we hope our science will help us, not hinder us, in our search for the
answer. But in one of the two possible worlds, a science that is
restricted by MN must inevitably reach the wrong conclusion. By
contrast, in either world a non-MN science will allow (although it cannot
guarantee) reaching the correct conclusion.
STIMULATING IDEAS
Critical thinking
about non-design will encourage a more accurate evaluation of non-design
theories. And this critical thinking, which is allowed in
Open Science but not in Closed Science, can stimulate creative theoretical
and experimental research by advocates of both design and non-design. For
example, Mike Behe's questions about irreducible complexity
have inspired advocates of neo-Darwinism to construct counter-arguments
for defending, new experiments for supporting, and modifications for improving
their theories.
A common concern is that design
will be a "science stopper" if the response to a challenging
problem is that "there is no natural explanation so it's useless
to search for it." But the potential chilling effect is greatly
exaggerated.
Most areas of science are not affected by design. And many scientists
will persevere after hearing a claim that "perhaps this feature
wasn't produced by natural process," because they think a natural
explanation exists and they want to find it. { And advocates
of design want non-design research to continue, because this will improve
the quality of evaluation for nondesign and design, because they want
to find the truth. }
PAST AND PRESENT
In the past, some claims for design
have seemed foolish after science found a natural explanation. Are
all claims for design destined to fail? Although past failures are
a reason for caution, we can learn from history, and theories can improve. A
current design theory should be judged on its own merit, not the weakness
of superficially similar theories in the past. Evaluating
each theory individually will help us avoid the extremes of assuming
that a claim for design is always justified (whenever current science
cannot explain a feature) or that a claim for design could never
be justified, or that design has never occurred.
Also, judgments can be reversed.
For example, the claims of Paley are now being reconsidered, but with
increased knowledge, by Behe and others. And for other questions,
such as the origin of life, non-design has never offered an explanation
that seemed satisfactory.
STATUS QUO
Currently, most scientists don't
propose design theories. Should we define science by the majority
behavior of current scientists? No, it doesn't
seem wise to let "what is" determine "what should be"
by assuming that current methods are necessarily the best of all possible
methods, in every area and every situation.
A common argument for the status
quo is that "modern science is making wonderful progress, so we should
not change it." But this conclusion is not justified if, as
we have good reasons to expect, a tolerance of design would have very
little overall impact on practical productivity, and would not hinder
the progress of science.
METHODOLOGICAL
Questions
Typically, questions about methods
are in four areas: history, agency, observability, and falsification.
HISTORY: Theories
of design are proposed in historical science
(to study events in the past) but not in operations
science (to study ongoing events in the present). The logic
is similar in both types of science, but there are differences.
For example, historical data cannot be repeated and "controlled"
but this is possible with experiments in operations science. And
instead of making logical predictions, historical
scientists make logical retroductions by
asking, "What theory could explain the historical data we have observed?" But these limitations occur in all historical sciences
(astronomy, geology, archaeology, evolutionary biology,...) and they pose
no special problems for design.
AGENTS: In contrast with situations
where a mechanistic theory can provide an
adequate description, sometimes "what happens" depends on the
decisions and actions of an agent, which
introduces an element of unpredictability. This occurs in design
theories and in other areas of science (such as psychology and sociology)
that involve agent action, and in history. When the methodology
of agency is being analyzed, two important principles are: 1) a
basic design theory claims only that "design-directed action did
occur" but says nothing about the details; 2) in historical
science we only have to explain what did occur,
not predict what will occur.
OBSERVABILITY: Because an unobservable
cause can produce an observable effect,
an observable effect can let us scientifically infer the existence
of an unobservable cause. By using this important principle,
scientists can logically propose electrons (in chemistry) and ideas (in
psychology) even though electrons and ideas cannot be observed.
Why? Because some observations are most satisfactorily explained
if thoughts and electrons exist. Similarly, if
we observe "signs of design" we can logically infer the existence
of design-directed action, even if the agent and action were not observed. In
historical science, supernatural agency and natural agency are methodologically
similar, since -- if the results of agent-action can be observed -- it
does not matter whether the action (or agent) could
not have been observed or simply was not
observed.
FALSIFICATION: It is impossible,
using formal logic, to prove any scientific theory is true or false. But
for a scientist, falsification is a
high degree of logically justified confidence in falsity, and a
design theory is falsified when a non-design
theory seems highly plausible. Conversely, when production by non-design
seems implausible and the evaluative status of non-design decreases, the
status of design increases, due to a mutually exclusive relationship:
a feature was produced by either non-design or design. Therefore, evidence against non-design is evidence for design,
and testing for non-design is a way to test for design. Since
the status of design can be increased or decreased by empirical evidence
(by observations), a theory of design is empirically
responsive and is testable. {
When critics try to empirically refute a design theory, they are confirming
its testability. }
Do you think the design theory in
Section 7A is a result of scientific thinking? Consider the process: You
observe a signal, notice a pattern (with prime numbers), creatively construct
and critically evaluate theories, and conclude that design-directed
action is a more plausible explanation than undirected
natural process. This is logical scientific thinking.
THE
BOTTOM LINE: When
scientists evaluate a theory of design, they are using conventional scientific
methods of inference, analogous to the methods used by detectives
in forensic science. If you think that, in some situations, a crime
detective can logically conclude "this death occurred by murder," you
should be satisfied with the methodological effectiveness of design inferences. For most critics of design, the
main concerns are metaphysical, not methodological.
METAPHYSICAL Questions
MIRACLES? A basic design
theory -- which claims that a feature was produced by either natural
design
and construction or supernatural design and creation -- does
not require miracles, but it does allow miracles.
/ Since the logic of science assumes consistency and reproducible
results, would a miracle mean the end of science? No. This
methodological concern is unwarranted. If, despite occasional miracles,
the universe usually operates according to normal natural patterns*,
science will be possible and useful. { *
A theist claims that the stability of nature, which allows scientific
investigation, is due to the designing and sustaining of nature by God.
}
LIMITED CLAIMS: An exploration
of design in any area (in homicide, radioastronomy, origins,...) is a
two-step process: ask "Was there design-directed
action?" and then investigate the details. Much
confusion about design is caused by ignoring the important distinction
between these two stages, between what a theory of design does claim
(that design occurred) and what it does not claim (that it can
explain the details, the "how, when, why, and who" of the design-and-production
process). We should judge a design theory based on what it is, not
what it isn't but never claimed to be. / Many methodological
demands -- for example, expecting a design theory to provide detailed
explanations and make precise predictions -- seem unreasonable when we
try to achieve a match between the limited claims made by design and
the
methods used to justify these claims.
SUPPLEMENTED
THEORIES: A basic design theory can be supplemented with details
about the designer's identity and actions. For example, a theory
proposing design for the origin of increasingly complex life on earth
could be supplemented with proposals for old-earth creation by God, young-earth
creation by God, creation by another supernatural agent, or construction
by natural extraterrestrial agents. Each explanation (the design
theory and the four supplemented theories) can be evaluated independently
on its own merits, to generate five different estimates of scientific
plausibility.
DESIGN AND CREATION can be related,
but are not the same. When thinking
about design and/or creation, two useful general principles are:
evaluate each theory based on what it claims, no more and no less;
compare theories carefully, to find their similarities and differences,
and evaluate accordingly. / A
basic design theory is limited to claims that can be scientifically evaluated. For
example, biochemical analysis might help us determine whether a particular
system was produced by design or non-design, but it probably could not
help us determine whether design-action was by God or space aliens.
The major differences between design
and creation are summarized in the table below, which is the table from Section 6B with two additions: a column for a theory
of intelligent design (ID)
about biological development, and a question asking, Does
this theory claim that "God did it"?
components
of E-theory
(for each component, does
a theory say yes or no?) |
natural
evolution |
intelligent
design |
old-earth
macromutational
creation |
old-earth
independent
creation |
young-earth
independent
creation |
creation
theories
of 1800 |
micro-E, minor macro-E |
YES |
YES |
YES |
YES |
YES |
no |
old earth, basic fossil E |
YES
|
? |
YES
|
YES
|
no
|
no |
common descent |
YES
|
? |
YES |
no |
no |
no |
natural Total Macro-E |
YES |
no |
no |
no |
no |
no |
claims that "God did it" |
.... |
? |
YES |
YES |
YES |
YES |
Notice that, in the
ID-column, three questions are answered "?" because a theory
of design neither affirms nor denies theistic creation
claims, an old earth, or common
descent. But since all modern design theorists affirm micro-E
and minor macro-E, this is a YES. { The "...." indicates
ambiguity, since a theory of evolution can be theistic or nontheistic.
}
The table above is explained more
clearly in a new page about Logical Evaluations
of Evolution and Creation. More
information about theories of design and creation (their claims, relationships,...)
is in the FULL-LENGTH VERSION
of Sections 7A-7G.
TRIVIAL
Questions
NATURAL SCIENCE: A claim that
"in natural science, natural phenomena and natural
history should be explained by natural causes" is trivial.
It is just faulty circular logic (assuming
"science is natural" in order to conclude "science is natural")
camouflaged with verbal ambiguity (using
"natural" to mean both "pertaining to nature" and
"normal appearing"). To avoid this sloppy logic, instead
of "natural science" we should
use terms that are more general (science)
or more specific (physical science, earth science,
biological science, social science,...).
SCIENCE AS A GAME: Another
trivial argument is to claim that we should view science as an intellectual
"game" played with a set of rules, established by tradition
and by consensus of the scientific community, which include an exclusion
of design. But it seems more rational to view science as a real-life
activity with goals, not an artificial
game with rules. {the important difference between reality
and games is illustrated by a StrongMan Contest}
METHODOLOGICAL NATURALISM is a proposal
to restrict the freedom of scientists by requiring
that scientific theories should postulate only natural causes.
The logical process leading to an acceptance of methodological
naturalism (MN) can be trivial, if
MN is just a slogan (borrowed from others) based on a small amount of
shallow thinking. Or MN can be a concise summary for a large amount
of deep thinking about the goals and methods of science.
When examined closely, some arguments
for a Closed Science (restricted by MN, excluding design) seem rather
trivial. Other ideas, especially those encouraging us to think about
practical effects and methodology, are more worthy, if only because they
can stimulate productive thinking and discussion. But none of the
arguments for enforcing a rigid MN seem convincing, and the more deeply
we think about an Open Science, the better it looks.
Scientists who propose design always
begins their thinking with MN, but they don't insist on ending with MN,
since their range of acceptable conclusions is expanded. They are
using the process of science, with conventional methods of inference.
By contrast, MN lets a scientist
bypass the process of science and immediately conclude that "it happened
by natural process." Reaching a scientific conclusion without
doing any science is certainly efficient, but is it effective in advancing
our search for truth? MN is fast, but is it wise? Does a rigidly
enforced MN help or hinder our efforts to develop an accurate understanding
of nature?
This section closes with a real-life
example and some tough questions. Consider a theory of design about
the origin of life. Is this theory scientific? If not, what
would make it unscientific: a claim that a formation of life by
undirected natural process is extremely improbable? a perception
that this claim implies a non-natural cause? a proposal of a non-natural
cause? Is there any limit to the severity of criticism before a
design theory becomes unscientific? If similarly severe criticism
is accompanied -- not by a proposal for design or creation, but for a
new natural theory -- does this make it scientific? Is it all right
to admit "we are far from finding the answer," but not to say
"maybe there is no natural answer"? Is it necessary to
confine and control the ideas of scientists by removing their freedom
to think that "maybe..."?
|
Added Value
In the long version of Section
7C (below), topics are examined more thoroughly than in the medium-long
version (above). The "tips" below
are for special places that I think offer "added value" in
some way: with new ideas or details, a different explanation, an interesting
example,...
Why is design
controversial? (it's metaphysics, not methodology)
A "two worlds" example
of unavoidable error. (from Paul Nelson)
Is science a search
for truth? Although it's not the only goal, for most scientists
"constructing accurate theories about nature" is an important
goal.
Historical judgments about design can be reversed.
Is science a game with rules?
A "strong man" example from ESPN.
Positivism, Part
1: regarding observability, with historical analysis by Laudan.
The logic of historical
science: deduction, prediction, postiction, retroduction, and hypothetico-deduction
(using agreement and predictive contrast), repeatability and controls.
Is supernatural
agency possible?
Evidence and Testing:
counterflow (from Del Ratzsch), and an unusual relationship while testing.
Mechanisms (are
they necessary?) and Matching (of claims with methods).
Information (concepts, examples,
details) about Supplemented Theories + Design and Creation.
A summary of
ideas from Section 7C.
7C. Can a design
theory be scientific? (long version)
( the title has been changed to "Can
design be scientific?" )
Even though a claim for design can
be supported by the methods of science, by a logical analysis of empirical
observations, some people claim that a design theory is inherently non-scientific.
Why? This section examines arguments for considering design theories
to be nonscientific, along with counter-arguments.
Why
is design controversial?
Imagine that, as in Contact
(the novel and movie by Carl Sagan), scientists observe a signal containing
a series of prime numbers, and they propose a design theory to explain
the signal's origin. Nobody would dispute the scientists' right
to propose this theory, and there would be no controversy about whether
or not their proposal is authentically scientific.
In most ways, a design theory to
explain prime numbers (or the stone faces on Mt Rushmore) is logically
equivalent to a design theory to explain the first life. In one
way, however, there is an important difference, which explains why one
theory is calmly tolerated while the other is a topic for intense debate.
From experience we know that human intelligence and technology can produce
signals and sculptures, so for these features design-and-construction
by humans (or by space aliens with adequate intelligence and technology,
or...) seems plausible. But if there was no intelligent life in
nature to design and construct the first life, a theory of design seems
to imply design-and-creation. This is a cause for concern among
some scientists and nonscientists, for reasons discussed in the rest of
this section, even though design-and-construction theories are not controversial.
What
are the limits of science?
When deciding how to define science
and its methods, we can choose to restrict the freedom
of scientists by requiring that scientific theories should postulate
only natural causes. This proposed limit is methodological
naturalism (MN). A second
limit follows logically: If MN is accepted, and if an event actually
does involve a non-natural cause, then any scientific description of this
event (in terms of only natural causes, as required by MN) is guaranteed
to be incomplete or incorrect. This logical conclusion is humility
about methodological naturalism (MN-Humility).
Each limit answers a question.
For MN the question is "What are the limits for what can claim to
be science?", and the answer is a proposal. For MN-Humility
the question is "What are the limits for what a restrictive MN-science
can claim to explain?", and the answer is a logical certainty.
Should we accept
methodological naturalism?
In 1998, I was willing to support
either of two options: 1) reject MN and include design in science,
or 2) adopt MN but also adopt MN-Humility by explicitly acknowledging
the limitations of MN-science. Here is how I summarized the limits
of what MN-science should be allowed to claim:
"We can
view a restricted MN-science as one aspect of a broader 'search for truth'
that considers all possibilities without imposing metaphysically biased
restrictions on theorizing. In this open search for truth, what
is the role of MN-science? It can be a valuable resource that should
be respected as an expert witness, but it should not be the judge and
jury when we're defining reality and rationality." (Rusbult,
1998)
The remainder of Section 7C explains
why, two years later when I began to revise this overview, my views had
changed. Now I think that -- instead of accepting MN and then apologizing
for its logical deficiencies -- we are behaving more rationally if we
simply reject MN. If we are serious about searching for truth, it
seems wise to adopt an Open Science in which scientists always begin
with MN, but do not insist that it is logical to always decide, before
looking at the evidence, that we should end with MN.
One reason for rejection is that
-- in the scientific and educational communities, and in the public media
-- there is a consistent disregard for MN-Humility. Instead of explaining
the logical limitations of MN-Science, there is a strong implication that
the conclusions of Modern Science must be true because a non-scientific
theory does not deserve serious consideration in a modern society.
This implication is widespread, despite the logical inconsistency of
using MN to bypass the process of science and then claiming the authority
of science as support for the unavoidable conclusion required by MN
(that "according to science the history of nature was all natural")
even if this conclusion would not be supported by the process of science,
by a logical analysis of observations and a critical evaluation of all
competitive explanations.
But the main reason for my change
is practical utility: I've become more thoroughly convinced that,
since design theories can be scientifically useful, science should include
these theories instead of automatically rejecting them, as demanded by
MN.
Can design theories
be scientifically useful?
A theory of design can be scientifically
useful in two main ways: by improving our search for truth, and by stimulating
ideas and experiments.
Is design useful
in a search for truth?
Our evaluations of scientific utility
will be affected by our definitions for the goals of science. In the
short term, scientists are motivated by the exciting intellectual challenge
of puzzle solving and by practicalities such as obtaining research grants,
publishing papers, getting and keeping a job, making a profit, improving
a product, or controlling our environment. But for most scientists
in the past and present, an important short-term goal, and the main long-term
goal, is to construct accurate theories about nature, about what is happening
now and has happened in the past. In other words, an important goal
of science is a search for truth, and an activity
is scientifically useful if it helps us make
progress in our search for truth.
Excluding design from science may hinder
our search for truth. How? If, as required by MN, all
scientific theories must conclude (before the process of science begins,
whether or not this conclusion would have been supported by scientific logic)
that everything in the history of nature occurred due to natural causes,
and if some events in history occurred due to non-natural causes,
then some scientific conclusions are guaranteed to be wrong, yet
there is no way to escape these false conclusions. This does not seem
rational. On the other hand, if the history of nature has included
only natural causes, and if a design theory seems to claim, either explicitly
or implicitly, the operation of a non-natural cause, we can use empirically
based logic to evaluate this theory and then reject it if this seems justified.
To help us think
about the question, "Is MN always the best way to do science?",
Paul Nelson asks us to imagine two possible worlds: one world has
a history of nature with all events caused by only natural process, while
the other world has a history of nature that includes both natural and non-natural
events. When we ask, "Which type of world do we actually live
in?", we hope our science will help us, not hinder us, in our search
for the answer. But in one of the two possible worlds, a science that
is restricted by MN must inevitably reach the wrong conclusion. By
contrast, in either world a non-MN science will allow (although it cannot
guarantee) reaching the correct conclusion.
a summary: If MN is accepted,
thereby producing a restrictive Closed Science, it may be impossible to
avoid false conclusions. But if MN is rejected, an Open Science is
free to reach conclusions based on a logical analysis of observations, and
this is what science should do.
Is
science a search for truth?
A strong argument for Open Science
is a claim that theories of design can be useful in a search for truth,
since it seems irrational for scientists (if they are searching for true
theories) to ignore theories that might be true. In an effort to deflate
this argument, critics of design sometimes appeal to anti-realist philosophies
of science, which propose that scientists are not searching for theories
that accurately describe reality, that a reality-oriented search for truth
should not be a goal of science. Instead, they want to consider only
utilitarian and methodological criteria (these are discussed later in this
section) and they claim that "even though design might be true, it
can't be science."
This is an interesting perspective
(which I explore in more detail in another
web-page), and rational arguments can be made for and against
a claim that truth should not be a goal.
But when we look at real people and actual motivations, it seems clear that
for most people, both scientists and nonscientists, truth is
a goal of science.
Of course, truth is not the only goal.
Scientists are also motivated by the intellectual stimulation and satisfaction
of solving problems, and by practical benefits such as obtaining grants,
earning salaries, publishing papers, gaining respect from scientific colleagues
and from nonscientists, and developing science-based technologies that will
bring practical benefits like improved health care or new consumer products.
Yes, all of these are motivations, but usually scientists also want to construct
accurate theories, theories that match the reality of what is happening
in nature.
Despite this, arguments against "truth
as a goal" (and even against "truth" as a concept!) have
gained popularity in academic circles, especially among scholars who are
excited about postmodern theories of radical relativism.
Can design help
improve non-design?
An activity is scientifically useful
if it helps us make progress in our search for truth. As discussed
above, an Open Science can prevent unavoidable error if design-directed
action really did occur during the history of nature. In this case
a theory of design can be scientifically useful because, compared with theories
of non-design, it is a more accurate representation
of reality and is thus more true.
But even if a particular design theory
isn't correct, it can promote a critical examination of non-design theories,
encouraging a more accurate evaluation of these theories and their plausibility.
When a design theory improves the evaluation of other
theories, our search for truth is advanced.
An additional benefit of Open Science,
with science evaluating both non-design and design, is that we could place
more confidence in a conclusion of non-design. Why? A theory
would be granted more justifiable respect if it had earned acceptance due
to a comparison, not just with other non-design theories, but also with
design theories. We would be more impressed with a theory that had
not eliminated part of its competition by insisting that we must bypass
the process of science and move directly to a "scientific" conclusion
of non-design that is automatic, unavoidable, and not necessarily based
on scientific merit.
Does it stimulate
action or stop science?
A design theory can stimulate experimental
and theoretical research by advocates of design and by its critics.
Intuitively, we expect that when the range of scientific theorizing is made
wider by including design, it will stimulate a wider range of scientific
thinking and experimenting. But is our intuition wrong? Can
the pursuit of knowledge be hindered by a claim for design? A common
practical concern is that a theory of ID will be a "science stopper"
if the response to a challenging problem is to say "it is useless to
search for a natural non-design explanation," thus discouraging research
in this area of science.
This is a legitimate concern, but the
potential chilling effect of design is greatly exaggerated. Most areas
of science are not affected at all, because current design theorists are
selective, making claims only for occasional events in the history of nature
but not for most historical events, and not for the normal ongoing operation
of nature. More important, many scientists will persevere, even after
they hear a claim that "perhaps this feature wasn't produced by natural
process," because they think a natural explanation exists and they
can find it. Instead of giving up, "true believers" will
be inspired to construct arguments defending their naturalistic theories,
gather new data supporting their theories, or make revisions to improve
their theories.
In the near future, debates about design
will continue, and this can stimulate action. For example, Michael
Behe (in his 1996 book, Darwin's Black Box: The Biochemical Challenge
to Evolution) asks whether a natural process of step-by-step evolution
could produce systems that seem to be irreducibly complex.
This challenge has motivated creative thinking and experimenting by advocates
of evolution who want to show that Behe's claims are wrong, and by proponents
of design.
When we're wondering if scientists
who propose design are "giving up" too soon, we should think about
our motivations: Do we want scientists to search for truth about nature,
or do we want science to be only a game in which the
goal is to explain everything by natural process, even if scientific evidence
indicates that these explanations are probably wrong? { For example,
consider a theory proposing that life arose from nonlife by chemical evolution.
Should this be "the scientific explanation" despite its scientific
implausibility, simply because it's a natural explanation? }
Is design destined
to fail?
In principle, theories of design
can be scientifically useful by stimulating action (in response to Behe's
questions, for example) and by advancing our search for truth (when criticism
leads to a more accurate evaluation of non-design theories, or when a design
theory seems plausible and might be true).
In practice, have design theories actually
been useful in our search for truth? Does the history of science provide
a basis for doubting the utility of design? In the past, some claims
for design (and divine action) have seemed foolish in retrospect when MN-science,
although temporarily unable to explain a phenomenon, eventually found a
natural explanation. Should we conclude, by inductive extrapolation,
that claims for design will always fail, now and in the future?
Although inductive logic does not guarantee
a correct conclusion, it usually indicates "a good way to bet,"
so failures in the past should provide a reason for caution. But this
should be balanced by a recognition that we can learn from history, so theories
can improve. A current design theory should be evaluated based on
its own merit, not the weakness of superficially similar theories in the
past.
Judging each theory individually will
help us avoid two extremes. First, we should not assume that a claim
for design is always justified whenever current science cannot explain
a feature in terms of undirected natural process. Second, we should
not assume that a claim for design could never be scientifically
justifiable or that design has never occurred. These extremes can
occur only if we refuse to learn anything from history (so we are not cautious
in making claims for design) or if we refuse to acknowledge that we can
learn from history (so we assume that design theories cannot improve and
therefore don't deserve to be evaluated based on evidence).
We should also
remember that historical judgments can be reversed. The most famous
apparent failure is now being revisited, but with increased knowledge and
more sophisticated analyses by Behe and others, to ask whether Darwin really
did refute the main claims of Paley. In the future, historians may
look back on 1859, not as the beginning of an enduring Darwinian Paradigm,
but as the starting point for an interlude, a period of temporary evolutionary
confidence that faded when scientists began to explore more deeply and to
demand that neo-Darwinian theories should meet higher standards for explanatory
detail and empirical support. / And for other important questions,
such as the origin of the universe and the first life, MN-science has never
offered answers that have seemed even temporarily satisfactory.
Should we go with
the status quo?
Another extrapolative argument
claims that we should extend scientific methods from the past into the future.
If we define science by what scientists do, and the majority of current
scientists practice MN, does this make MN an essential part of science?
In evaluating this argument, the basic
question is simple: Is it wise to assume that current methods are
necessarily the best of all possible methods, in all situations? If
we say YES, then it is rational to decide that we should go with the status
quo, that "what is" can tell us "what should be."
If we say NO, then we can think more carefully about our science, and we
can ask "What are the best methods?" and "Is MN always the
best way to do science, in every situation?"
The question of MN can be approached
in two ways, by logic or power. We can use logic to evaluate
the strengths and weaknesses of MN, to consider the
benefits of an Open Science [@]. Or we can ignore the question,
thus letting it be answered by those who have the power to define
"what science is" by making important decisions: which views
will (and won't) be expressed in scientific journals and textbooks, at conferences
and in the public media? what types of research, by which scientists,
will be funded by grants? who will be hired and promoted? and
who will determine the policies of scientific and educational organizations?
Should MN get credit
for everything?
A common argument for the status
quo is that "modern science is MN and is making wonderful progress
in gaining knowledge and solving problems, so we should retain MN because
it is so effective." But this conclusion isn't justified if,
as we have good reasons to expect, a tolerance of design would not hinder
the progress of science:
Most areas of research would not be
affected. In areas where design is being proposed, many scientists
would continue to work on non-design theories. And this work would
be approved by design proponents who think, for example, that a neo-Darwinian
approach is useful for exploring a wide variety of phenomena, and that many
of its claims (but not all) seem scientifically justified. In fact,
Mike Behe is challenging scientists to do more, not less, in searching for
evolutionary mechanisms at the level of biochemistry. And an improved
knowledge of non-design can increase the plausibility of design, as explained
in Sections 7B and 7D.
As discussed later in this section,
methods of logical analysis are similar in design and non-design, except
that with design the range of acceptable conclusions is expanded.
Overall, design would have very little impact on the practical productivity
of science, so an argument that "a rigid MN is necessary for the progress
of science" is not justified.
Is
science a game with rules?
Some critics of design view science
as an intellectual game played with a set of rules, which include MN, that
have been established by tradition, approved by consensus in the scientific
community, and enforced by funding agencies, journal editors, and hiring
committees.
This is an interesting perspective.
In terms of sociology, regarding interpersonal dynamics and institutional
structures, it is certainly an idea with merit. But it becomes much
less impressive and less appealing when we turn to philosophy and think
about functional logic and the cognitive goals of science, when we acknowledge
the distinction between games and reality.
The practical function of restrictive
rules is different in a game and in reality. To illustrate, consider
the Strong Man contests televised by ESPN. During these competitions,
I've seen a man tow a semi-truck with a rope, and carry a refrigerator on
his back.
For the game, if one competitor wanted
to hook the semi to a tow truck or strap the refrigerator to a two-wheeler,
this would be cheating. It would provide an unfair advantage and would
not help in achieving the goal of the game, determining who is the strongest
man. In this context the rule about "no mechanical help"
is useful.
But for reality, for accomplishing
a practical goal, the same rule might not be useful. If the real-life
goal of a business is to move vehicles or refrigerators quickly, over and
over throughout the day, using tow trucks or two-wheelers is a more effective
strategy than asking a person to do all of the work.
It is obvious that a restrictive rule
which is useful in the context of an artificial game -- such as requiring
that a heavy object must be moved by a human without extra help -- may not
be useful in real life for accomplishing practical goals. When this
principle is applied to science, it seems more rational to view science
as an activity with goals, rather than a game with rules. Then we
can ask whether the restrictions imposed by MN will make scientists more
effective in pursuing and achieving the goals of science. More specifically,
we can ask "Is MN a useful strategy in our search for truth, in our
development of increasingly accurate theories about nature?"
Is
"natural science" a logical argument?
A claim that "in
natural science, natural phenomena and natural history
should be explained by natural causes"
is just a fallacious pseudo-argument. On the surface, the logic seems
impressive. But when we look deeper, it vanishes into thin air.
By carefully examining each use of "natural" we see a shift of
meaning that hides (but only for awhile, until we discover the verbal illusion)
an illogical circular argument, produced by using the same word in two different
ways.
One meaning of "natural"
-- which is used throughout this overview -- is normal-appearing,
in contrast with miraculous-appearing. In the sentence above, this
meaning is used once, for natural causes.
A second meaning, pertaining to nature,
is used for natural phenomena (phenomena that
occur in nature), natural history (the history
of nature), and natural science (science that
studies nature).
But verbal ambiguity doesn't even require
a sentence. All by itself, the term "natural science" is
ambiguous because it could refer to either "a
study of the natural" (in Closed Science, restricted by MN)
or "a study of nature" (in Open Science,
liberated from MN), since "natural" has two meanings. But
there is an implicit argument when we say "natural science" because
we're implying that these two words belong together, by definition, that
they are inseparable and form a logical unit, that science is natural (with
"normal appearing" as the assumed
meaning) so a naturalistic approach should be accepted without further critical
thought. To avoid this pseudo-argument, we must improve our verbal
precision. Instead of saying "natural science"
we should use terms that are more general (science)
or more specific (physical science, earth science,
biological science, social science,...).
a reminder: In this overview, "natural"
always means "normal appearing".
Could science survive
a miracle?
Would a miracle mean the end of
science? One methodological concern is that science would be impossible
if miracles occur, because the logic of science depends on consistently
reproducible results. This objection is based on a sound principle,
but it loses practical validity when it extrapolates from USUALLY to ALWAYS.
Yes, a world that is "usually natural" is necessary for science,
but we don't need an "always natural" world. Science would
be difficult, if not impossible, if we lived in a world with frequent "Alice
in Wonderland" surprises and no reliable cause-effect relationships.
But if, despite occasional miracles, the universe usually operates according
to normal natural patterns, science will be possible and useful.
Do
theories of design propose miracles?
Theories of intelligent design
(ID) assume the universe usually operates according to normal natural patterns,
with consistently reproducible results. ID makes claims only for occasional
events in the history of nature, not for the normal operation of nature.
And a basic design theory does not explicitly propose miracles in history,
because it claims only that a feature was produced -- not by undirected
natural process -- but by either natural design
and construction or supernatural design and
creation.
Does a basic "design only"
theory violate methodological naturalism? Maybe. It is difficult
to answer with a simple "yes" or "no" because with ID
there are two possibilities and also two interpretations. ID allows
supernatural design-and-creation as a possibility, which seems to violate
MN. But ID also allows natural design-and-construction as a possibility,
so a design theory does not require miracles and therefore does not explicitly
violate MN. What a design theory does explicitly acknowledge -- and
this is where it differs from a creation theory -- is the practical
difficulty [@] of scientifically distinguishing between supernatural
creation and natural construction. But if critics of ID move beyond
what is actually proposed, to include what they think is the total content
(both explicit and implicit) of an ID theory, they can claim an implicit
violation of MN.
Logical Methods
and Design
A defense of Closed Science often
begins at a superficial level, with an assumption -- that "natural
science" is natural -- which isn't questioned. At this level,
the only question being asked is whether design violates a tradition of methodological naturalism.
But we can move to a deeper level by
thinking about scientific utility, by asking "What would be the practical
effects of an Open Science that includes design?" and "Does a
rigidly enforced MN help or hinder our efforts to gain an accurate understanding
of nature?" Although some aspects of these questions have been
discussed above, other important concerns about scientific utility -- concerns
involving the logical methods used in science -- are examined in the remainder
of this section. I hope you'll find some useful ideas in the following
discussion.
Observable
Effects
When we're evaluating the methodology
of design, an important principle of cause-and-effect is that an
unobservable cause can produce an observable effect. If
we examine a feature and observe distinctive signs of design we can
logically conclude that design has occurred, even if we have not directly
observed the agent who formulated the design or performed the directed action
that produced the designed feature.
During the history of science, this
principle -- that an observable effect can let
us scientifically infer the existence and action of an unobservable cause --
has been debated, and its logical validity and scientific utility have
been accepted by scientists and philosophers. Larry Laudan (1977,
1984) describes a conflict between beliefs that resulted in a significant
decision about the methodological foundations of science. In the early
1700s, some interpreters of science claimed that Isaac Newton had constructed
his theories only by inductive generalization from observations, and had
refused to speculate about unobservable theoretical entities. A claim
that Newton's method of theorizing was based on a commitment to "no
unobservable components in theories" is challenged by modern historians
and philosophers, but for awhile this methodological strategy was influential
in science and philosophy. Scientists were inspired to mimic the
methods they mistakenly thought Newton had used, so they tried to develop
theories
that -- consistent with the positivist models
of knowledge being developed by philosophers -- did not include unobservable
causal entities. But by the 1750s it was becoming apparent that many
successful theories, in a wide range of fields, in operations science and
historical science, depended on the postulation of unobservable entities. Thus,
there was a conflict between positivist goals for science and the actual
theories of science.
Instead of giving up their non-positivist
theories, the scientists and philosophers "sought
to legitimate the aim of understanding the visible world by means of postulating
an invisible world whose behavior was causally responsible for what we do
observe. ... To make good on their proposed aims, they had to develop
a new methodology of science,... the hypothetico-deductive method. Such
a method allowed for the legitimacy of hypotheses referring to theoretical
entities, just so long as a broad range of correct observational claims
could be derived from such hypotheses. (Laudan, 1984; p. 57)"
Using this logical methodology, modern
scientists often propose that observed effects were produced by an unobserved
cause. In hypothetico-deductive reasoning, the only requirement
-- even if a cause cannot be directly observed -- is that effects can
be observed. This requirement is fulfilled by a theory of design
which claims that a cause (the design-directed action involved in producing
a feature) can be inferred if, when we examine a feature, we observe distinctive
signs of design. {more about positivism}
Historical
Science
Theories of design are proposed
in historical science (to study events in the
past) but not in operations science (to study
ongoing events in the present).
In both types of science, the logic
is similar.
Scientists use a logical process of deduction when they infer from a
proposed cause to a predicted effect by asking an if-then question --
If this was the cause, then what effects should we observe? -- that produces
a theory-based prediction (made before
the observed effects are known) or postdiction (made
after the observations are known). A prediction and postdiction
are logically equivalent, if each is obtained by valid deductive logic.
Scientists use retroduction
when, after observations are known, they infer from an observed effect
to a proposed cause by asking a reversed question: These are the
observed effects, so what might the cause have been? During retroductive
inference, scientists try to find a theory (by selecting an existing theory
or inventing a new theory) whose postdictions will match the known data.
Retroduction is one
type of hypothetico-deduction, which
is a general process of logical inference that uses degree
of agreement (do observations agree with predictions?) to evaluate
a theory, and uses degree of predictive contrast (what
differences occur in the predictions of different theories?) to compare
and evaluate competitive theories. { For details, check Section
7G [@]. }
But in the two types of science, data
is different.
In operations science, in experiments
(and sometimes in field studies) observations
can be repeated and variables can be controlled.
But in historical science, repeatability
and controls are impossible (except for decisions about which phenomena
and characteristics to observe), and a deduction must be made after an event
has occurred. { But deductions can be made either before or after
event-data is known, to generate predictions or postdictions, respectively.
} Since these data limitations occur in all areas of historical science,
including astronomy, geology, and evolutionary biology, they pose no special
problems for design.
Regarding the relations and timings
of deduction and inference, our expectations are similar for historical
scientists and for other historians. In all areas, including science,
we expect historians to construct descriptions of what happened in the
past
and to propose explanatory theories for how it happened, but we don't expect
them to predict what will happen in the future.
Personal Agency
In both historical science and
operations science, in some situations we must consider the effects of personal
agency because "what happens" depends on the decisions and actions
of individual agents. In these situations our ability to make precise
predictions will usually decrease due to the unpredictability of individuals. But
similar methodological problems exist in design and in other scientific
theories that postulate action by agents.
In the production of a designed feature,
there are two opportunities for agency: in the design, and the design-directed
action. The agents for these two phases could be the same (as implied
in Section 7A) or different. For example, engineers
could design an airplane, then factory workers actually build the plane.
Or, God might design a "plan for action" and then use a human
to carry out the action. In fact, this type of dual agency -- combining
the supernatural and natural, with God and humans working together -- plays
an important role in theology and (I think) in life.
Supernatural
Agency
In historical science, supernatural
agency and natural agency are methodologically similar. In each case
a past occurrence of design-directed action can be inferred when careful
examination of a feature reveals observable signs of design, even though
(since it occurred in the past) the agent and action have not been directly
observed. In each case it is difficult to make precise theory-based
deductions (as either predictions or postdictions) but it is possible to
scientifically justify a retroductive inference that "design-directed
action by an agent has occurred." The logical process of inference
is similar, whether the agency was natural or supernatural.
If an event involving agency was not
observed, there are two possibilities. Perhaps the agent could have
been observed, but was not. Or maybe the agent, if supernatural, could
not have been observed, even by an eyewitness. In each case, the
agent has not been observed, but observable effects -- which are
the foundation of scientific logic -- could be produced by either type
of agent.
Therefore, it is not methodologically useful (at least it isn't useful in
the "ancient history of nature" situations for which intelligent
design is typically proposed) to make a distinction between agents that
are unobserved and unobservable.
But is supernatural action possible?
An atheist and deist and theist, due to their differing beliefs about the
existence and activities of supernatural agents, will have different views
regarding the possibility of supernatural action. Since there is
no metaphysically neutral way to decide between these views, it
may be wise to adopt the non-restrictive policy of Open Science by
saying "maybe supernatural action is possible, and maybe it isn't."
Section 7G [@] contains
a deeper analysis of historical science, personal agency, and supernatural
agency. It examines cause-effect principles and hypothetico-deductive
inference. It describes how the process of retroductive inference
is affected by predictive accuracy and precision, which in turn are affected
by contingency and complexity, empirical and theoretical knowledge, mechanisms
and agency. It explains why, although in historical science there
are reasons for caution due to inherent limitations in the available data,
scientists can develop methods for reducing the practical impact of the
limitations. These methods should be critically analyzed, but we
should not automatically eliminate historical science (whether it proposes
design
or non-design) from being authentically scientific.
Evidence
and Testing
Careful observation, combined
with intuition and analysis, can lead us to recognize distinctive signs
of design, such as special characteristics (like prime numbers)
or purposeful functionality (like a camera that makes a photograph). Del
Ratzsch describes design in terms of the counterflow
that occurs when events "have been pushed in
a direction contrary to the normal flow of nature." He
uses a diesel bulldozer as an example of an object with clearly observable counterflow marks that "cannot
or would not be produced by nature." These signs of design
provide evidence indicating that the bulldozer was produced by design.
When is it logically justifiable to
make a claim for design? There is evidence for design when production
by undirected natural process (by non-design) is not a plausible explanation
for a particular feature, when it seems more likely that the feature was
produced by design-directed action. A feature was produced by either
design or non-design, which are mutually exclusive.
Therefore, when the evaluative status of non-design decreases, the status
of design increases; evidence against non-design is evidence for design,
so we can use the predictions of non-design theories to test and evaluate
a design theory. This relationship between predicting (by non-design)
and testing (of both non-design and design) is unusual, since most theories
are tested by using their own predictions. But this methodology --
of supporting a claim for design by gathering evidence against non-design
-- is logically valid because the correct theory must come from within
one
of the two mutually exclusive categories, design and non-design.
Testing
and Falsifying
Can design be proved or disproved?
No. Section 7B explains why, since we cannot falsify all possible
theories that claim non-design, we cannot prove design
[@]. Similarly, design cannot be disproved. This is not
a cause for concern, however, because it is impossible to prove or disprove
any scientific theory by using formal logic. But even though we cannot formally falsify design (or any other theory),
it is possible to scientifically falsify a
design theory, to develop a rationally justified confidence that
a theory of design is false. Or we could be scientifically confident
that a design theory is true, or that design is the best of the currently
available explanations. Or we might simply conclude that design,
as a potentially plausible explanation, is worthy of further development.
Critics of design tend to focus on
falsifiability, with two contrasting concerns that form an interesting combination.
First, they worry because design cannot be formally falsified. But
non-design also cannot be falsified, so they worry because design cannot
be proved. Somehow, the lack of symmetry in their own concerns (with
unfalsifiability in design being criticized, while unfalsifiability in
non-design
is praised) doesn't seem to be a cause for concern.
When we're thinking about the testability
of design, focusing on falsifiability is not the most practical approach. Instead,
it is more useful to ask, Can the evaluative
status of a design theory be changed (either up or down) by empirical data? This
question, which is a sensitive and logically valid way to determine whether
a theory is empirically responsive,
can be answered YES for many theories of design, so these theories can
be scientifically evaluated based on empirical data. Critics confirm
the testability of design when they try to show, using empirical evidence,
that a particular design theory is less plausible than is claimed by its
proponents. {example} If the design theory was not empirically
responsive, if it was immune to evidence and could not be tested, such
criticism
would serve no practical purpose.
Design uses Scientific
Logic
Design theorists oppose the restrictions
of MN-science, but they use the logical methods of MN-science. They
begin with MN, but don't insist on always ending with MN. They use
conventional methods of scientific analysis, such as the hypothetico-deductive
reasoning (done by comparing theory-based deductions with observations)
that serves as a "reality check" for empirically evaluating the
plausibility of a theory. They think that -- if scientific evaluation
shows theories of non-design to be implausible -- it is rational to reject
these theories instead of insisting (as in MN-science) that a non-design
theory must be accepted anyway.
Conventional scientific methods, applied
with an open mind, are sufficient to provide logical support for design.
In fact, in some areas of current MN-science, logical methods for detecting
design are now commonly used. For example, theories of design are
being proposed and tested when forensic scientists investigate crimes, and
when astronomers search for radio signals designed by intelligent extraterrestrials. Similar
methods are being used, and further developed, by design theorists.
Mechanisms
and Matching
For theories that propose a detailed
causal mechanism, we can make detailed predictions by using deductive logic,
by asking an if-then question, "If this theory is true (so the proposed
mechanism is operating), then what should we observe?" But a
basic theory of design does not propose a detailed causal mechanism; it
claims that a feature was the result of design, but makes no claims about
the designing agent or the directed action that produced the feature.
Scientists generally prefer a theory
that includes a precisely detailed mechanism, but this is not required for
scientific acceptance. And a mechanism is not required for scientific
utility. As discussed above, even though design theories don't propose
a detailed mechanism, empirical evidence that is analyzed by conventional
scientific logic can support claims for design.
There is no need for detailed predictions,
unless in addition to expecting that a design theory should be tested for
what it does claim (that design occurred), we also demand that it must be
tested for what it does not claim (that it can explain the details, the
"how, when, why, and who" of the design-and-production process).
This extra demand is not needed to evaluate a claim for design, and it is
not reasonable. Why? For the same reason we don't demand that
officers in a police department should never turn a case over to the Homicide
Division until they already know the details and have identified the murderer.
An exploration of design in any area (in homicide, radioastronomy, origins,...)
is a two-step process: first ask "Was there design-directed action?" and
then investigate the details.
We should recognize the limited claims
made by a design theory, so we can evaluate design based on what it is,
not what it isn't but never claimed to be. This recognition is important,
since it will help us think about testability in a way that is logically
appropriate, that achieves a match between the claims made by design and
the methods used to justify these claims.
Supplemented
Theories
As explained above, a basic "design
only" theory should be considered scientifically acceptable, whether
it's proposed in astronomy (where a signal containing prime numbers would
be recognized as design, even if nobody knew who the designers were) or
to explain biological origins. But if we want an origins theory that
is more complete, a basic design theory can be supplemented with details
about the designer's identity and actions.
For example, a theory proposing design
for the origin of increasingly complex life on earth could be supplemented
with proposals for old-earth creation by God, young-earth creation by God,
creation by another supernatural agent, or construction by natural extraterrestrial
agents. Each of these five explanations (the basic theory and the
four supplemented theories) can be evaluated independently on its own merits,
to generate five different estimates of plausibility, one for each theory.
Supplementation can significantly affect the scientific content and plausibility
of a design-and-creation theory, as discussed in "The Many Meanings
of Creation" in Section 6B [@].
Supplementation also affects our judgments
about how "scientific" a theory is. Some arguments for "design
as science" also apply to "creation as science" but others
do not apply. And the question being examined in this section is
whether design (not creation) is scientific.
Design and Creation
What is the relationship between
design and creation? They are related, but are not the same.
They are logically connected, but only partially, since a theory of origins
design can be (but doesn't have to be) supplemented to form a theory of
theistic design-and-action. They are theologically correlated, but
only partially, since most advocates of design (but not all) are Christians.
And design is not the same as "young earth" creation, since two
different questions (Has design occurred? How old is the earth?) are being
asked. { Also, claims for design are based on scientific evidence,
while defenses of yeC, especially within the Christian community, often
rely heavily on Biblical interpretation. }
Two important principles -- 1) each
theory should be carefully evaluated based on what it claims, no more and
no less, and 2) design can involve agents and actions that are either
natural or supernatural -- are discussed in this subsection:
1) When theories are compared, we should
notice both similarities and differences. For example, when we compare
typical theories of old-earth creation and young-earth creation by carefully
examining the individual components within each theory, we see some similarities
(e.g., both agree that irreducible complexity seems to exist) and some differences
(e.g., they disagree about young-earth flood geology). Each of these
components, irreducible complexity and flood geology, should be evaluated
separately and independently. An overall theory of creation that
combines many components, that makes many claims, should be evaluated with
a wide
focus that includes all of the claims, as explained in Section
6B [@]. But a theory of design that makes one claim, such as
"the design of irreducibly complex systems," should be evaluated
with a narrow focus that considers only this claim.
2) What are the implications of design?
If a feature was not produced by undirected natural process, what are the
alternatives? An agent of "design and directed action" could
be a nonhuman animal (as in ant hills, bird nests, and beaver dams), a human,
an extraterrestrial space alien, or a supernatural being. For each
major area of origins, design doesn't necessarily mean creation:
a) For biological evolution, the "production
scenario" most commonly imagined by naturalistic design theorists
is for directed panspermia, with the evolutionary
development of life on earth being stimulated and guided by natural extraterrestrials
who became highly evolved before the advent of complex earth life.
b) For the first life, current design
theories claim that a natural formation of carbon-based life (involving
DNA, proteins, water,...) is highly implausible. What are the alternatives?
Maybe God designed the universe so it would naturally support life, but
would not naturally produce life, so God miraculously created life on earth.
Another design theory, nontheistic and naturalistic, might propose that
life did arise naturally, but it was life of a type (and in a setting) we
cannot now imagine; then this life evolved to a level where it could
design and construct the familiar carbon-based life inhabiting the earth.
c) For our universe, with its life-allowing
properties, a design theorist with a pantheistic (or panentheistic) worldview
might propose that a universe can somehow evolve into a unified super-consciousness
that is intelligent, active, and powerful. Perhaps this happened
in the distant past, and a previous universe has already designed and constructed
new universes, including the one we now inhabit.
A basic design theory -- before
it has been supplemented in ways that are theistic, naturalistic, or pantheistic
-- is limited to claims that can be scientifically evaluated.
Michael Behe clearly explains the limits of his "design only" claims,
in a summary of ideas from pages 245-250 of his 1996 book, Darwin's
Black Box:
Although I acknowledged
that most people (including myself) will attribute the design to God --
based in part on other, non-scientific judgments they have made -- I did
not claim that the biochemical evidence leads ineluctably to a conclusion
about who the designer is. In fact, I directly said that, from a scientific
point of view, the question remains open. In doing so I was not being coy,
but only limiting my claims to what I think the evidence will support. To
illustrate, Francis Crick has famously suggested that life on earth may
have been deliberately seeded by space aliens (Crick and Orgel 1973). If
Crick said he thought that the clotting cascade was designed by aliens,
I could not point to a biochemical feature of that system to show he was
wrong. The biochemical evidence strongly indicates design, but does not
show who the designer was. {from Philosophical
Objections to Intelligent Design: Response to Critics}
Here, Behe is explaining why -- even
though his theory claiming that "design has occurred" can be
scientifically evaluated -- he is not claiming "creation has occurred" because,
based on the evidence he is considering, this claim cannot be scientifically
evaluated.
Freedom
and Positivism
Scientists cherish their freedom
of thought. They don't want to be restricted by "rules" for
doing science. They do want the freedom to pursue explanations in
any way they think will be effective.
Consider, as an illustration, the methodological
philosophy of positivism, and how scientists in the 1700s responded
to these proposed restrictions. A central principle of positivism is
the assertion that an authentically scientific theory should not propose the
existence of entities, actions or interactions which cannot be directly observed. For
example, behaviorist psychology avoids the concept of "thinking" because
it cannot be observed. A positivist would approve. And in the early
1900s, Ernst Mach urged the abandoning of atomic theory because it proposes
the existence of "electrons" and other unobservable entities.
What has been the modern response? Although
behaviorism was dominant in American psychology for several decades, since
the 1950s its influence has been surpassed by a less restrictive cognitive
psychology (whose focal point is the process of thinking) that provides a liberating
perspective for scientists. And atomic theory is alive and thriving. Most
modern scientists believe that thoughts and electrons exist, even though they
cannot be observed, because effects that can be observed are most satisfactorily
explained by proposing the existence of thoughts and electrons. { In
the same way, scientific logic could lead us to infer that an observed effect
was produced by the action of an unobserved designer. } Many modern scientific
theories include unobservable entities (photons, electrons,...) and interactions
(electrical fields and forces,...) among their essential components. Faced
with a choice of "behaving as they should" (according to positivists)
or being effective, scientists have chosen effectiveness and freedom.
When this "freedom of thought" principle
is applied to open science and design, an important question arises: If
scientists prefer freedom, why is MN -- which restricts freedom -- a commonly
used methodology? There is a simple explanation: Most scientists
work in areas that are not affected by MN restrictions; in the few areas
that are affected, those favoring the status quo hold positions of power, and
they have a vested interest in maintaining MN so they can use it to censor
their critics in an effort to protect their paradigm and its core theories.
Can a design theory
be scientific?
What is science? In the
past, attempts to define demarcation criteria
-- which claim to capture "the essence of science" and therefore
to clearly distinguish science from nonscience -- have not been satisfactory.
Despite these difficulties, some
critics of design want to use methodological naturalism
as a decisive demarcation test. They ask one question, "Does
it violate MN?", and consider the case to be settled. But is
it really that simple?
This section has examined the main
arguments for enforcing MN and excluding design from science. Initially,
these arguments may seem credible, but when we inspect more closely the
logic is less impressive, and it seems less reasonable to exclude design
from science.
Here is a brief review of the first
part of the section: a Closed Science, restricted by MN, might guarantee
that science will reach false conclusions; an Open Science allows,
but cannot guarantee, reaching correct conclusions; a theory of
design can be scientifically useful (because it might be true, it can
promote a more accurate evaluation of non-design theories, and it can
stimulate creative thinking and action by proponents of either design
or non-design); design is not a science stopper (in the actual practice
of science), should be evaluated based on what it is now (not what other
theories were in the past), and should not be excluded by citing the status
quo (by assuming that current methods are necessarily the best methods)
or by the verbal equivocation of using "natural" with two different
meanings; there is no incompatibility between science and occasional
miracles; and since design does not require miracles, it does not
even explicitly violate MN.
When examined closely, a few of these
arguments (such as those about "natural science" being "natural"
by definition) seem rather trivial. Other ideas, especially those
encouraging us to think about the practical effects of an open science
and a closed science, are more worthy of serious consideration, if only
because they can stimulate productive thinking and interactions.
Some concerns, involving scientific methods of theory testing and evaluation,
seem especially important and interesting. These methodological
concerns have been discussed in ten subsections: Observable Effects,
Historical Science, Personal Agency, Supernatural Agency; Evidence
and Testing, Testing and Falsifying, Design uses Scientific Logic;
Mechanisms and Matching, Supplemented Theories, Design and Creation.
Here is a summary of the main ideas:
because an unobservable cause can
produce an observable effect, scientific theories can postulate the existence
of a cause that cannot be directly observed;
in logical methodology and use of
data, a design theory is similar to other theories in historical sciences;
strategies for coping with the uncertainties of agency are similar, whether
a personal agent is natural or supernatural;
the main evidences for design are
observable "signs of design" that probably could not be produced
by undirected natural process; since design and non-design are mutually
exclusive, their plausibilities vary inversely, and testing for non-design
is a way to test for design; although design cannot be proved or
disproved using formal logic, scientists can develop a rationally justified
confidence that design (or non-design) is the best currently available
explanation, or is at least a reasonably plausible explanation;
a theory of design is empirically responsive, and is therefore testable,
if its evaluative status can be changed (up or down) by empirical data;
when critics try to empirically refute a design theory, they are confirming
that the theory is scientifically responsive and testable;
scientists who propose design use
the conventional logic of MN-science, but question the wisdom of restricting
science to the conclusions required by MN; in some areas, such as
forensic science, methods for testing design theories have been developed
and are commonly used;
a basic design theory does not propose
a mechanism for the directed action that produced a designed feature,
but a mechanism is not required for scientific utility; a design
theory should be tested for what it claims (that design occurred), not
for what it doesn't claim (that it can explain the details); a basic
design theory can be supplemented (with details about when, how, why,
who,...) in many ways (theistic, naturalistic, or pantheistic), and each
theory (basic and supplemented) should be evaluated on its own merits;
theories of design and creation can be related, but are not the same,
and design does not necessarily imply creation; a basic design theory
is limited to claims that can be scientifically evaluated.
Conclusion
Can a design theory be scientific?
This section begins with reasons to say YES, and then explains why reasons
for saying NO do not seem logically justified. The more closely
we examine arguments for enforcing a rigid methodological naturalism in
science, the better "design as science" looks. This suggests
that, instead of using MN in a futile effort to separate science from
nonscience, for each theory of design we should ask, "Is it scientifically
plausible?" and "Is it scientifically useful?"
These questions are explored in Sections 7B and 7D.
7B: Based on their analysis
of observations, some scientists are wondering whether a theory of "intelligent
design and design-directed action" might be a plausible explanation
for the first life, complex life, or the universe itself. Even though
proof is impossible, can we develop a scientifically justified confidence
about the plausibility of a design theory?
7D: In our search for truth,
is MN always helpful? Should we reject a theory of design before
looking at the evidence, or should we consider the possibility that design
is a potentially reasonable explanation that is worthy of further development?
What are some benefits of an Open Science that has been liberated from
the restrictions imposed by MN?
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