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What Is Spaced Repetition and Why It Works

January 20, 20262 min read

What Is Spaced Repetition and Why It Works

If you've ever crammed for an exam only to forget everything a week later, you already know the problem. Our brains aren't designed for mass memorization — they're designed to forget.

Spaced repetition works with your brain's forgetting curve, not against it.

The Forgetting Curve

In the 1880s, German psychologist Hermann Ebbinghaus discovered that we lose about 70% of newly learned information within 24 hours. But here's the key insight: each time you review something at the right moment, the memory gets stronger and lasts longer.

How Spaced Repetition Works

Instead of reviewing everything every day, spaced repetition algorithms schedule reviews at increasing intervals:

  1. Learn a new word → review tomorrow
  2. Remember it? → review in 3 days
  3. Still remember? → review in 1 week
  4. And so on… → eventually reviewing once a month

If you forget, the interval resets and you review more frequently until it sticks.

FSRS: The Algorithm Behind Story Languages

Story Languages uses FSRS (Free Spaced Repetition Scheduler), a modern algorithm developed through machine learning research. It's more accurate than older algorithms like SM-2 (used by Anki) because it:

  • Adapts to your individual memory patterns
  • Considers the difficulty of each card
  • Accounts for how stable your memory is
  • Predicts the optimal review time with better precision

Making the Most of It

To get the best results with spaced repetition:

  • Review daily — even just 5 minutes
  • Be honest when rating cards (Again/Hard/Good/Easy)
  • Don't skip reviews — the algorithm works best with consistent data
  • Add words gradually — 5-10 new words per day is plenty

The Result

After a few weeks of consistent practice, you'll notice something remarkable: words that once felt impossible to remember will pop into your mind effortlessly. That's the power of spaced repetition at work.

Start reading stories, saving words, and let the FSRS algorithm handle the rest. 🧠