Various
further attempts have been made in the last hundred years to nail down what
scientific thinking does and to prove that it is a reliable way to truth, but
they have all come with conundrums of their own.
The
logical positivists, for example, tried to bypass Hume’s problems with the
terms in scientific laws and to place the burden of meaning and proof onto
whole propositions instead. A key point in the logical positivists’ case is
that all meaningful statements are either analytic or synthetic. Any statement
that does not fit into one of these two categories, the positivists say, is
irrelevant noise.
Analytic
statements are those whose truth or falsity is determined by the definitions of
the terms they contain. For example, “All bachelors are unmarried men” is an
analytic statement. If we understand the terms in the sentence we can
immediately verify, by thinking it through, whether the statement is true.
Synthetic
statements are those whose truth or falsity we must work out by referring to
evidence found in the real, empirical world, not in the statement itself. “All
substances contract when cooled” is a synthetic statement—not quite a true one,
as observations of water and ice can show. So is “If a creature is a whale,
then it is a mammal.”
The
logical positivists aimed to show that discussions between scientists in all disciplines
can be made rigorously logical and can therefore lead us to true knowledge.
They intended to apply their analytic–synthetic distinction to all statements
in such a rigorous way that any statement made by anyone in any field could be
judged by this standard.
If the truth or falsity of a statement had to be
checked by observations made in the real, material world, then it was clearly a
synthetic statement. If the statement’s truth value could be assessed by analysis of its internal logic, without reference to observations and
measurements made in the material world, then the statement was clearly an
analytic statement. Idea exchanges that were limited to only these types of statements
could be logically sound. All other statements were to be regarded as
meaningless.
The
logical positivists argued that following these prescriptions was all that was
needed for scientists to engage in logically sound discussions, explain their research,
and size up the research of their fellow scientists. This would lead them by
gradual steps on to true, reliable knowledge of the real world. All other
communications by humans were to be regarded as forms of emotional venting,
empty of any real content or meaning.
Rudolf
Carnap, especially, set out prove that these prescriptions were all that science
needed in order for it to work and to progress in a rigorously logical way
toward making increasingly accurate statements about the real world—generalizations
that could be trusted as universal truths.2
But
the theories of Carnap and the other positivists were taken apart by later
philosophers such as Willard Quine, who showed that the crucial positivist
distinction between analytic and synthetic statements was not logically
defensible. Explaining what makes an analytic statement (e.g., “All bachelors
are unmarried men”) analytic requires that we first understand what synonymous
terms like bachelors and unmarried men are. But if we go into the
logic carefully, we find that explaining what makes two terms synonymous
presupposes that we first understand what analytic
means. In short, trying to lay down precise rules for defining the difference
between analytic statements and synthetic ones only leads us to reason in
circles.3
Hilary Putnam (credit: Wikimedia Commons)
Quine’s
reasoning, in turn, was further critiqued and refined by later philosophers
like Hilary Putnam. As Putnam eventually put the matter:
“…
positivism produced a conception of rationality so narrow as to exclude the
very activity of producing that conception” and “… the whole system of
knowledge is justified as a whole by its utility in predicting [future] observations.”4
In
other words, logical positivism’s rigid way of talking about thinking, knowing,
and expressing ends up in a logically unsolvable paradox. It creates new
problems for all our systems of ideas and doesn’t help with solving any of the
old problems. Our system of knowledge – in the end – gets its credibility with
us because it, mostly, gets results. It enables us to, at least partly, predict
and control what’s coming in the real world .
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