
You come home to a wet floor and water marks beside an open window. You suspect that rain blew inside. Rather than starting with a rule and deriving a result, you work backwards from what you observe, looking for an explanation that connects the clues. This is abductive reasoning, often discussed today as inference to the best explanation.
It is not arbitrary guessing. An open window, recent rain and water concentrated nearby make rain a more promising account than an accidental spill. How much an explanation covers, how well it fits established facts and how many additional assumptions it needs can all matter. There is no simple formula for weighing these considerations in every situation.
Unlike deduction, abduction does not guarantee a true conclusion even when all the evidence is true. It also differs from induction based solely on observed frequencies: here, explanatory merit supports the judgement. If the real cause is a leaking pipe that nobody has considered, the best explanation among those available can still be wrong.
My judgement is that abduction gives inquiry a reasoned direction; it does not stamp a plausible story as fact. Saying ‘This best explains the clues we currently have’ describes our knowledge more accurately than ‘This must be what happened’.
https://plato.stanford.edu/entries/abduction/
https://openstax.org/books/introduction-philosophy/pages/5-4-types-of-inferences
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