Hermann Ebbinghaus, in his pioneering 1885 monograph Uber das Gedachtnis (On Memory), conducted the first systematic experimental study of memory and forgetting. By memorizing lists of nonsense syllables and testing himself at various retention intervals, he discovered that forgetting follows a characteristic curve: memory declines rapidly in the first hours after learning, then more gradually, approaching an asymptote. This forgetting curve has been replicated countless times across diverse materials and conditions.
Ebbinghaus's Method
Ebbinghaus used himself as the sole participant and nonsense syllables (consonant-vowel-consonant combinations like DAX, BUP, ZOL) as materials to minimize the influence of prior knowledge. He measured retention using the savings method: the reduction in trials needed to relearn a list compared to original learning. Even when he could recall nothing from a list, relearning required fewer trials than original learning — demonstrating that some memory trace persisted below the threshold of recall.
After 20 min: ~58% savings
After 1 hour: ~44% savings
After 1 day: ~34% savings
After 6 days: ~25% savings
After 31 days: ~21% savings
Mathematical Form
The shape of the forgetting curve has been debated. Ebbinghaus originally fit a logarithmic function. Later work has proposed exponential decay, power functions, and exponential-power hybrid models. Wixted and Ebbesen (1991) showed that a power function provides the best fit across many data sets. The key feature common to all reasonable models is negatively accelerated decline: rapid initial forgetting that gradually slows.
Two major theories explain forgetting. Decay theory proposes that memory traces weaken over time through biological degradation. Interference theory proposes that forgetting results from competition between memories — proactive interference (old memories interfere with new) and retroactive interference (new memories interfere with old). Modern consensus favors a role for both: time-dependent processes (possibly involving consolidation failure) and interference contribute to forgetting, with their relative importance depending on the type of material and the conditions of learning and testing.
Spacing and the Forgetting Curve
The forgetting curve has direct implications for learning strategies. Spaced practice (distributing learning over time) produces slower forgetting than massed practice (cramming). Each review session "resets" the forgetting curve at a higher level and slows its subsequent decline. This interaction between the forgetting curve and spacing has been formalized in spacing algorithms used in spaced repetition software (such as Anki and SuperMemo), which schedule reviews at optimal intervals to maximize long-term retention with minimum study time.
Legacy
Ebbinghaus's forgetting curve remains one of the most important discoveries in psychology. It established that memory could be studied experimentally, it revealed the temporal dynamics of retention, and it inspired practical applications from spaced repetition to educational scheduling. The curve's shape — steep initial decline followed by gradual leveling — has been found for every type of material studied, from nonsense syllables to classroom knowledge to foreign vocabulary, establishing it as a fundamental law of memory.