Fixed-time schedule effects as a function of baseline reinforcement rate.

Meuret et al. (2001) tested how well fixed-time (FT) schedules cut arbitrary button pressing in lab pigeons. They first let birds earn food on a baseline schedule. Then they added FT food every few seconds no matter what the bird did. The team changed only one thing: how close the FT rate was to the baseline rate.

Birds worked in a small chamber with one lit key. Pecks on that key were counted minute by minute. The study ran until each bird saw several rate switches.

FT schedules worked best when the new food rate was clearly faster or clearly slower than the old rate. If the FT rate sat near the baseline rate, pecking barely dropped. A big rate gap almost wiped out the extra pecks.

In short, a sharp rate change does the heavy lifting. A small tweak barely budges behavior.

Gabriels et al. (2001) looked at the same FT tool but for the opposite goal: keeping kids' skills alive. They found FT 30s or 60s held newly mastered tasks in place for two children with autism. The shared lesson: FT rate matters, whether you want to shrink or save a response.

Jarrold et al. (1994) stretched the idea to humans. They showed that stereotypy, not self-injury, can pop up as an extra side effect when children get FT food. Their data remind you to watch for new, unplanned behaviors while you damp down the target one.

Decasper et al. (1977) ran an earlier pigeon study with variable-time food. They saw the same drop in response when food and response lost close timing. Meuret et al. (2001) simply locked the time gap at fixed seconds and pinned down the exact rate rule.

When you move a client to noncontingent reinforcement, pick an FT interval that is clearly thinner or denser than the baseline schedule. A small shift wastes time; a big jump gives you faster response reduction. Track for accidental stereotypy, and use the same principle in reverse later to maintain mastered skills with leaner FT schedules.