Imagine this. Every morning, you wake up, go to the kitchen, and make yourself a cup of tea. You turn on the stove, place your kettle on it, and wait for the water to boil. You don’t even question whether the stove will work or if the water will heat up. Why? Because it always has. But does that mean it always will? That’s the question at the heart of the induction problem, first introduced by the Scottish philosopher David Hume in the 18th century.
Hume pointed out something rather unsettling: all of our reasoning about the future is based on our experiences of the past. We assume that because the sun has risen every day in recorded history, it will rise again tomorrow. We believe that because fire has always burned, it will continue to burn. This kind of reasoning, called inductive inference, is fundamental to how we navigate the world. But Hume asked, how can we justify it?
The problem is that any attempt to justify induction seems to rely on induction itself. If we say, “Well, induction has worked in the past, so it will keep working,” we are already assuming what we are trying to prove. It’s a circular argument. This realization shakes the very foundation of scientific reasoning because science is built on the idea that past observations can help us predict future events.
Philosophers and scientists have tried to tackle this problem in different ways. One response comes from Karl Popper, who argued that instead of relying on induction, science should be based on falsification. According to Popper, we don’t confirm theories through repeated observations; we simply fail to disprove them. If a theory withstands rigorous attempts to falsify it, it remains tentatively accepted, but never truly “proven.”
So, what does this mean for everyday life? Should we stop assuming the sun will rise tomorrow or that our tea will be hot? Not necessarily. While the philosophical problem remains unresolved, practical experience shows that induction is reliable enough for daily life and technological advancements. It’s not that we have a logical guarantee—it’s that it works well enough to trust, at least until proven otherwise.