Effects of different accessibility of reinforcement schedules on choice in humans.

The researchers asked college students to pick between two schedules of reward. One schedule paid more often but made the student wait longer before each payoff. The other paid less often but let the student start sooner.

The team changed how long the wait was for the lean schedule. They wanted to see if shorter waits made people accept the leaner payoff. The whole test took place in a quiet lab room with points exchanged for money.

When the lean schedule made people wait a long time, most students rejected it. When the researchers cut that wait, the same students switched and accepted the leaner payoff.

The switch happened in an orderly way. Each small cut in wait time pushed more students toward the lean schedule. This pattern matches the delay-reduction hypothesis.

Landry et al. (1989) ran a near-copy of this choice task with pigeons. Both studies show the same rule: shorter waits boost acceptance of leaner reward. The 1989 paper adds that the rule holds even when total food rate stays the same.

Renda et al. (2018) flipped the idea around. Instead of cutting waits, they exposed rats to long waits first. After this delay training, the rats picked larger-later rewards more often. Together, the two papers show that both shortening waits and practicing long waits can shift choice.

Vos et al. (2013) looked at what happens when payoff is delayed but the delay is not shown. Response rates crashed. Stockhorst (1994) kept delays visible, so acceptance rose. The pair warns us: signal any delay you must use.

You can make lean schedules more acceptable by trimming the wait time that comes before the first payoff. In practice, deliver the first praise or token right after the target response, even if later payoffs stay sparse. If you must impose a delay, give a clear signal—like a timer or a countdown—so the learner can see the wait shrink.