Hi everyone,
I’d like to share an Anki addon (AnkiWeb ID 215758055): No Scheduler – Review Order by Long-term Knowledge Gain.
This addon introduces a new review strategy that goes beyond Anki’s built-in options (like “easy cards first” or “descending retrievability”). It prioritizes cards that contribute the most to your long-term memory so that the cards with the highest expected gain are reviewed first.
Furthermore, with this addon, you no longer need any scheduling algorithms or leech tools.
For more information and usage, please visit the GitHub repo.
Evaluation
Below is the evaluation under unit review time (i.e., each review takes equal time) with a desired retention of 0.8, based on review-sort-order-comparison.
| order | total_learned | total_time | total_remembered | average_true_retention | seconds_per_remembered_card |
|---|---|---|---|---|---|
| knowledge_gain_delayed_desc | 20000 | 96464.0 | 16192 | 0.751 | 5.96 |
| knowledge_gain_discounted_desc | 20000 | 96423.0 | 16030 | 0.728 | 6.02 |
| difficulty_asc | 20000 | 96519.0 | 15737 | 0.793 | 6.13 |
| PSG_desc | 20000 | 96490.0 | 15701 | 0.784 | 6.15 |
| due_date_asc | 20000 | 96508.0 | 15619 | 0.678 | 6.18 |
| random | 20000 | 96483.0 | 15470 | 0.700 | 6.24 |
| retrievability_asc | 20000 | 96512.0 | 15141 | 0.715 | 6.37 |
| stability_desc | 20000 | 96487.0 | 15049 | 0.792 | 6.41 |
| retrievability_desc | 20000 | 96473.0 | 14926 | 0.797 | 6.46 |
| add_order_desc | 20000 | 96508.0 | 14902 | 0.793 | 6.48 |
| PRL_desc | 20000 | 96469.0 | 14383 | 0.793 | 6.71 |
| interval_asc | 20000 | 96470.0 | 14338 | 0.792 | 6.73 |
| stability_asc | 20000 | 96424.0 | 14325 | 0.793 | 6.73 |
| add_order_asc | 20000 | 96501.0 | 13611 | 0.773 | 7.09 |
| interval_desc | 20000 | 96474.0 | 13549 | 0.778 | 7.12 |
| difficulty_desc | 20000 | 96531.0 | 13172 | 0.789 | 7.33 |
Feedback and issues are welcome here or on GitHub Issues : )