Physicist,
University of Aix-Marseille, France; Author, The First Scientist: Anaximander and the Nature
of Science
The Uselessness of Certainty
There is a widely used notion that
does plenty of damage: the notion of "scientifically proven". Nearly
an oxymoron. The very foundation of science is to keep the door open to doubt.
Precisely because we keep questioning everything, especially our own premises,
we are always ready to improve our knowledge. Therefore a good scientist is
never 'certain'. Lack of certainty is precisely what makes conclusions more
reliable than the conclusions of those who are certain: because the good
scientist will be ready to shift to a different point of view if better
elements of evidence or novel arguments emerge. Therefore certainty is not only
something of no use, but is in fact damaging, if we value reliability.
Failure to appreciate the value of
the lack of certainty is at the origin of much silliness in our society. Are we
sure that the Earth is going to keep heating up, if we do not do anything? Are
we sure of the details of the current theory of evolution? Are we sure that
modern medicine is always a better strategy than traditional ones? No we are
not, in none of these cases. But if from this lack of certainty we jump to the
conviction that we better not care about global heating, that there is no
evolution and the world was created six thousand years ago, or that traditional
medicine must be more effective than the modern medicine, well, we are simply
stupid. Still, many people do these silly inferences. Because the lack of
certainty is perceived as a sign of weakness, instead of being what it is: the
first source of our knowledge.
Every
knowledge, even the most solid, carries a margin of uncertainty. (I am very
sure about my own name ... but what if I just hit my head and got momentarily
confused?) Knowledge itself is probabilistic in nature, a notion emphasized by
some currents of philosophical pragmatism. Better understanding of the meaning
of probability, and especially realizing that we never have, nor need,
'scientifically proven' facts, but only a sufficiently high degree of
probability, in order to make decisions and act.