Falsification

From The Jolly Contrarian
Revision as of 13:09, 1 September 2020 by Amwelladmin (talk | contribs) (Amwelladmin moved page Falsify to Falsification)
Jump to navigation Jump to search
The Jolly Contrarian’s Glossary
The snippy guide to financial services lingo.™
Index — Click the ᐅ to expand:
Tell me more
Sign up for our newsletter — or just get in touch: for ½ a weekly 🍺 you get to consult JC. Ask about it here.

Following the publication of his The Structure of Scientific Revolutions, Thomas Kuhn famously debated Karl Popper over what counts as science and the way in which science develops over time. Popper had, in his earlier book The Logic of Scientific Discovery, made the invaluable observation that “verification” as a standard for a theory to qualify as “scientific” is too high since, logically, no argument based on induction (“since the sun has risen on every day in recorded history, therefore it will rise tomorrow”) can be proven true. For all our folksy expectations, current cosmology predicts that there will be a point in the distant future when the sun will explode, and therefore will not rise tomorrow. We are but turkeys, only Christmas hasn’t arrived just yet.

In lieu of verification as the scientific gold standard, Popper asserted that a valid scientific theory could be assessed only by the lack of any falsifying evidence among the data. Thus, to be useful, a scientific theory must be “falsifiable”: it must narrow down from the list of all possible outcomes a set of predicted ones, and rule the rest out. Theories which cannot be falsified by any conceivable evidence don’t do that, so fail at science’s fundamental task. They are not science.

Thomas Kuhn’s tremendous insight was to offer the historian’s perspective that, while that might be theory, that’s just not what science has ever done in practice. Scientific theories are never thrown out the moment contradictory evidence is observed: the dial is tapped, the experiment re-run, and “numerous articulations and ad hoc modifications of their theory” are devised to eliminate apparent conflict. When the data won’t do what they’re meant to, sometimes it is the question which is rejected as being irrelevant, and not the answer predicted by the theory.

See also