Jevons paradox
Jevons paradox is the counter-intuitive finding that making the use of a resource more efficient often increases total consumption of it — because greater efficiency lowers the effective cost and unlocks many new uses.
How it works
Efficiency is a price cut in disguise. When a resource gets cheaper to use, demand expands — more users, more applications — and the extra usage can outweigh the saving per unit, so the total goes up rather than down.
How to use it
- Policy and forecasting: don’t assume an efficiency gain automatically cuts total resource use (energy, water, compute).
- Strategy: cheaper inputs can grow a whole market rather than just trim costs.
- Pair with second-order thinking on any “we made X more efficient” claim — ask what the lower cost will unleash.
Worked example
Economist William Jevons noticed in 1865 that more efficient steam engines didn’t reduce Britain’s coal use — they made coal-power cheaper, so it spread to more industries and total coal consumption rose. The pattern recurs: efficient lighting, engines, and computing have each expanded total usage.
Where it fails
It’s a tendency, not an iron law — the rebound can be partial, and the paradox doesn’t mean efficiency is futile. The real lesson is to measure the net effect rather than assume the per-unit saving is the whole story.
Frequently asked
- What is Jevons paradox?
- The observation that improving the efficiency with which a resource is used can increase, rather than decrease, the total amount of that resource consumed.
- Who discovered Jevons paradox?
- English economist William Stanley Jevons, in his 1865 book The Coal Question, observing coal use after more efficient steam engines.
- Does Jevons paradox mean efficiency is pointless?
- No — efficiency still delivers value per unit. It means total consumption may not fall, so net resource effects must be measured, not assumed.
Related
Editorial synthesis © ReadGlobe 2026, drawing on the mental-models tradition (Charlie Munger, Farnam Street) and the primary sources for each model. · Last reviewed 2026-06-30.