Falsifiability and its limits

A claim becomes easier to investigate when you can say what evidence would count against it.

Popper proposed falsifiability as a way to distinguish scientific theories: they rule out some possible observations. Testing is more complicated in practice because an apparent failure can come from the theory, the measuring device, or an auxiliary assumption.

For example: If a plant-growth prediction fails, ask whether the proposed mechanism is wrong or whether water, light, and measurement were actually controlled.

Keep in mind: One anomalous result does not automatically refute an entire research program. Falsifiability alone is not a universal test for truth or meaningfulness.

Think about it

State an idea you believe and one observation that would make you lower your confidence in it.

Connected ideas

The problem of induction · Uncertainty is part of measurement · Bayes rule and belief updates

Sources and further reading

• Stanford Encyclopedia of Philosophy: Karl Popper

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