all simulations
Simulation

Perruchet Effect

Perruchet (1985) · partial reinforcement conditioning

A tone plays. Sometimes it's followed by an air puff to the eye; sometimes it isn't. Fifty-fifty. After a long run of unreinforced trials — four consecutive misses — what happens to explicit expectancy and the conditioned blink response?

Explicit expectancy climbs. The gambler's fallacy: four misses, the puff must be due. Meanwhile the conditioned blink weakens. Standard extinction: each unreinforced trial thins the association. The graphs cross. At the end of a long miss run, the person is maximally convinced the puff is coming — and minimally likely to blink when it does.

Two systems, same evidence, opposite conclusions.

speed 4/s
puff % 50%
explicit expectancy conditioned response crossing
press play or step to begin
 
How it works

Pierre Perruchet ran the eyeblink experiment in 1985 with a 50% partial reinforcement schedule. Participants knew the schedule. His innovation was to analyze by run length: after N consecutive reinforced trials, or N consecutive unreinforced trials, where are both measures?

The conditioned response follows Rescorla-Wagner learning: each reinforced trial strengthens the association by a fraction of the remaining gap to maximum; each unreinforced trial weakens it by a fraction of the current strength. The association is tracking cumulative prediction error.

Explicit expectancy follows the gambler's fallacy: random sequences look streaky, and streaks feel like they should end. After four consecutive misses, subjects reported strong belief the puff was coming. After four consecutive hits, they expected a miss. The explicit system is reasoning about the run, not the base rate.

Neither reasoning strategy is simply wrong. The explicit system asks: given this run, what does the next trial look like? (It answers incorrectly — the trials are independent.) The conditioned system asks: across all trials, how often has tone predicted puff? (It answers correctly on average, but slowly.) They don't communicate. The crossing is structural, not a mistake.

In the simulation: the puff % slider changes the reinforcement probability. At 50%, crossings are frequent — the two curves constantly diverge and reconverge as runs develop and reverse. At higher or lower probabilities, one system dominates more persistently. The dots mark where the curves crossed.

Perruchet, P. (1985). A pitfall for the expectancy theory of human eyelid conditioning. Pavlovian Journal of Biological Science, 20, 163–170. · entry 522: Crossed