How many flashcards should you make per lecture?

Ask this anywhere students gather and numbers come back: twenty, thirty, forty, a hundred and seventy for the anatomy lecture with every foramen in it. The answers are all real, they all come from people who passed, and they disagree because the number was never a property of the lecture.

A flashcard is not a thing you make. It is a commitment you take on. The minute it costs to write is the cheap part; the expensive part is every review it schedules between now and the day you stop caring about the subject. So the answerable version of the question is not "how many cards does this lecture deserve". It is "how many cards a day can I review on an ordinary bad day, and what does that leave for this lecture".

The short answer

The numbers people publish for one lecture run from about fifteen to over a hundred, clustering around thirty to forty. For new cards a day, the common advice is ten to twenty for general study and twenty to fifty in medicine. For total daily reviews, the ranges quoted as sustainable sit around sixty to a hundred and fifty, higher for heavy recall subjects.

Those spreads are not disagreement about memory. They are different people solving the same equation with different inputs — different subjects, different card quality, different amounts of life. Start from about twenty new cards a day, and then correct it with the arithmetic below inside two weeks. The correction is the part that matters.

The arithmetic that decides it

  1. Decide the minutes. Not your best day — a day with a deadline, a shift, four hours of sleep. That is the budget, because the schedule only works if you turn up on the bad days. Say 25 minutes.
  2. Time one card. Run a session with a clock and divide. A well-made card takes seconds; a card that takes you a minute is a card carrying too much and should be split. Say 10 seconds.
  3. Multiply out the ceiling. 25 minutes at 10 seconds a card is about 150 reviews a day. That is the whole of your daily capacity, forever, for every subject at once.
  4. Divide by the review multiplier. In a spaced system your daily reviews settle at several times your daily new cards — the rule of thumb people use is roughly five to ten times, and it climbs the higher you push your target retention. Take seven: 150 ÷ 7 is about 20 new cards a day.
  5. Spread it across the week. 20 a day is about 140 a week. Five lectures a week makes roughly 30 cards a lecture — which is where the forums landed, arrived at honestly and adjustable for a reason.
  6. Measure the real ratio after two weeks. Your app knows how many cards are due today. Divide today's due count by your average new cards a day. That ratio is yours, and it is the true price of every card you add from here. If it is higher than you assumed, the fix is upstream: fewer cards, or better ones.

Every number in steps one to five is a placeholder for yours. The shape is what carries over: minutes, seconds a card, ceiling, multiplier, week.

What earns a card

How many is too many

Too many is not a card count. It is the point where the daily queue outruns the minutes you set, and stays there for a week. A load that felt comfortable in September drowns you in November, because November is carrying September and October as well.

The signs, in the order they usually arrive:

The fix is not discipline. Stop adding new cards entirely for a week and let the queue drain — zero is a legitimate setting. Delete without ceremony: the waste is the review time a bad card will take from now on, not the minute that made it. Split the impossible ones. Then start adding again, at the number the arithmetic gave you.

Chapters are not lectures

A lecture has a duration, so a per-hour figure at least means something. A chapter does not. Thirty pages of a maths text and thirty pages of a history survey are not the same ask, and page count predicts almost nothing.

Two adjustments make chapter counts honest. First, a textbook has been written to be re-read: worked examples, restatements, a box summarising the thing three pages above. A lecture has usually been filtered once already by whoever gave it. Expect a chapter to yield fewer cards per page than its length suggests. Second, work backwards from the exam and the calendar, not from the book. Take your weekly card budget and divide it by the chapters left before the paper. If that leaves fewer cards per chapter than you would like, you have learned something true about the schedule — it is not a reason to raise the budget.

Worth knowing

Where Quat fits

Any tool that generates cards, Quat included, will hand you more than you should keep. Generation is cheap and review is not, which means the edit step is where the real number gets decided — and it is the step most generate-my-cards workflows leave out entirely.

Quat puts it in the middle on purpose. A capture — a recorded lecture, a photographed page, a pasted link — becomes a note first, and the note is yours before it becomes anything else. The cards inherit whatever the note says, so cutting a paragraph out of the note now is cheaper than deleting twelve cards in three weeks. Cut it to what you would be tested on, then let it build from that.

Three things make the load visible rather than theoretical:

Quat also has an XP ladder with badges and streaks. Treat them as a record of turning up, not as a reason to make more cards. It runs on iPhone and iPad only.

What it costs

Reviewing, exams and games are free without limit — the arithmetic above is never the thing you are paying for. A subscription raises the monthly ceilings on the parts that call a model: capture, the tutor, and card generation. No account, no sign-up; your notes and cards stay on the device.

The three ways in

Once you know your number, the capture is the easy part. You can record a lecture, photograph a page, or paste a link — the same note-then-cards pipeline, with a different stamp.

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