How Review Works

Review uses FSRS-6 to schedule your tasks. Each successful review increases the interval until the next one—here's an example of how that looks over time.

calendar_today Day 1
Good
school

Initial Learning

Establishing a baseline for your first review.

Current Next Due
Day 1
+2d
calendar_today Day 3
Good
trending_up

Growing Strength

Success extends the time between reviews.

Current Next Due
Day 3
+4d
calendar_today Day 7
Hard
psychology

Harder Recall

High difficulty brakes the interval growth.

Current Next Due
Day 7
+6d
calendar_today Day 13
Good
auto_awesome

Adaptive Growth

The schedule adapts for difficult material.

Current Next Due
Day 13
+9d

Understanding the Numbers

When you view a task's details, you' ll see three key metrics. Here's what they mean.

psychology

Recall probability

Your probability of recalling this memory right now. It starts at 100% after learning and decays naturally over time.

hourglass_bottom

Memory strength

How long your memory will last, measured in days. The stronger your memory, the longer the intervals between reviews become.

fitness_center

Difficulty

A dynamic score from 1 to 10 reflecting task complexity. It automatically adjusts based on your review performance.

Settings

The defaults work for most people, but you can adjust these to fit your learning style.

tune

Target Retention

This controls the acceptable "risk" of forgetting. When a task's recall probability falls to this level, it joins your daily review queue.

Recommended
90%
90%
80% Retention Longer Intervals
99% Retention Maximum Effort
balance
Balanced

The recommended setting. A good balance between memory retention and study time.

history

Maximum Interval

The longest Review will wait before showing a task again. Default is 100 years—effectively unlimited.

If you know something perfectly, why review it? However, you can cap this to ensure a refresher once a year (365 days) if preferred.

Standard Default
100Y
Unlimited
functions

Algorithm Deep Dive

Interested in the mathematics powering Review? Explore the full technical specification of the FSRS algorithm, including the formulas for Recall probability, Memory strength, and Difficulty.

View Technical Specopen_in_new