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P-value explained: why scientists keep getting it wrong
✓ The Conversation AustraliaScience & Systems

P-values show sampling odds, not proof a result is true

A p-value shows how unusual a result is if nothing real changed, not the chance the finding is true.

A p-value is one of science’s most misread numbers. It tells you how often a result this extreme would appear by chance if there were no real effect.

It does not tell you the chance the finding is a fluke. The usual 0.05 line is just a convention, so a result can miss it and still matter.

50 and 50
Example samples
3cm
Height gap
0.06
P-value
0.05
Significance line

Why it mattersBad reading of p-values can turn weak evidence into false certainty, which affects medical claims and public trust.

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