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Spaced Repetition Intervals: The Science Behind the Numbers (2026)

Why does Anki show you a card after 1 day, then 4 days, then 10 days? Here's the science behind spaced repetition intervals — and how to know if yours are optimized.

Spaced Repetition · Learning Science · Last updated March 2026

The Core Idea

Memory decays along a forgetting curve. The optimal time to review is just before you forget — not too early (wasting a review), not too late (after forgetting). Spaced repetition intervals are calculated to hit that precise moment, and they grow longer each time you successfully recall.

Why Intervals Grow: The Stability Model

Each time you successfully recall a memory, you don't just remember it — you strengthen it. The memory becomes more stable. A more stable memory decays more slowly. This is why the intervals grow exponentially:

Review # Typical interval What happened
Learning (1st) 10 minutes New card, very fragile memory
Graduating 1 day Card leaves learning queue
Review 1 3–4 days First long-term review
Review 2 8–12 days Stability increasing
Review 3 20–35 days Memory becoming robust
Review 4 2–4 months Long-term memory
Review 5+ 6 months – 2 years Near-permanent memory

These are approximate. Your actual intervals depend on which buttons you press and the algorithm used (SM-2 vs FSRS). FSRS produces more accurate intervals by modelling each card individually.

What Happens When You Press Again

When you press Again (forgot the card), two things happen:

  1. The interval resets. The card goes back to the learning queue, typically with a short interval (1–10 minutes). It won't be scheduled for days — it needs to be re-learned first.
  2. The card's difficulty increases (in SM-2) or its stability decreases (in FSRS). This means it will progress more slowly in the future — future intervals will be shorter than they would have been otherwise.

This is why good card design matters so much. A card that you consistently fail because it's ambiguous or tests two things at once will never have a long interval — it'll perpetually reset, wasting review time. See how to create Anki cards for how to fix this.

The Ease Hell Problem (SM-2)

In Anki's old SM-2 algorithm, every Again press reduces the card's "ease factor" by 20%. Ease factor determines how fast intervals grow. After several Again presses, a card might have an ease factor of 130% — meaning it barely grows at all, and you'll be seeing it every few days forever.

This is called "ease hell." Cards stuck in ease hell consume a disproportionate amount of your daily reviews. The fix is either:

How FSRS Calculates Intervals Differently

FSRS replaces the ease factor with a stability variable. Stability measures how long it will take for your recall probability to drop to your target retention (e.g., 90%). The next interval is simply calculated as the time until you're expected to drop below 90% recall.

This means:

Stop Worrying About Your Intervals

The most common mistake is obsessing over whether your intervals "look right." If you're using FSRS with a 90% retention target, your intervals are already optimized for your personal review history. Trust the algorithm.

What actually matters: reviewing every day (consistency beats optimization), having well-designed atomic cards, and not pressing Easy to inflate intervals artificially. See the Anki settings guide and FSRS algorithm explanation for the full setup.

Get Cards Optimized for Spaced Repetition

Proper intervals only matter if your cards are well-designed. StudyCards AI creates atomic, context-rich flashcards from your notes — structured to work perfectly with Anki's spaced repetition system.

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