Caveats of card NOT being atomic?

Anki Learning Effectively
1

Hello everyone,I sometimes make cards that are NOT atomic. They sometimes contain multiple cloze deletions (simultaneous) within a single cloze card and test them simultaneously at once
and also in basic front back cards, I put like multiple points at back which means even if i fail one of 4/5 points, I click again.
Example:
Front: Mention Thyroid hormone Functions
Back:

  • Helps in maintaining BMR
  • Helps in production of RBC
  • Helps in digestion of carbs, fats and proteins
  • Helps in water and electrolyte balance

As everyone points out these do not align well with 20 rules by piotr wozniak.
But i wanted a holistic perspective such that i can connect with information too. is this method detrimental for long term??

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I use both atomic cards and big cards. So for your example, I’d have 5 cards: one for each point, and one for the whole list.

The “big cards” are in their own deck with a 70% and I rate them leniently (so getting only 3 of the points right would be a hard for the big card).

I haven’t used this “long term”, it’s a recent-ish strategy, but I like it so far.

[Also, you should change the category to “learning effectively”.]

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But, lets use the example i sent, functions of thyroid hormones. How would i “separate” them?
Wouldn’t be like Front: “Mention the first function of thyroid” …Back: “Regulation of BMR”
Or what else?

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I make a chain out of the cards, kinda like “cloze one by one”. The first point is special, but after that I just show a point and ask for the next.

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5

Sorry for spelling errors, I’m writing this on the edge of a waterfall in Yosemite. Views are great here BTW.

Your instinct that holistic cards have value isn’t wrong, but the way you’re describing them creates a real scheduling problem if you don’t isolate them. Here’s the mechanism:

FSRS optimizes its 19 weights against your actual review history within a given preset. When a multi-point basic card or a multi-cloze card sits in the same preset as atomic cards, your “Again” rate is structurally inflated for the non-atomic notes - you only need to miss 1 of 5 points to fail the whole card, while an atomic card requires missing the only atom.

FSRS can’t see that distinction; it just sees more lapses.

The optimizer then lowers stability gains and shortens intervals to compensate, pulling your atomic cards toward “shorter-than-necessary” intervals while still under-fitting the non-atomic ones. You end up with a compromise that schedules neither type well.

The fix is structural, not behavioral.

Anki assigns deck presets per deck, and FSRS optimizes weights per preset.

Here’s a real example that I use. I use mainly 3 different note types: 1. Cloze Deletion 2. Basic and 3. Multiple Choice Questions.

I’ll end up publishing my note type templates in the future once I can’t find any other way to improve on them.

So organize like this:

Parent Deck
├── Cloze   → FSRS Preset: Cloze
├── Basic   → FSRS Preset: Basic
└── MCQ     → FSRS Preset: MCQ

Now FSRS trains on homogeneous review data inside each preset.

Your multi-point basic notes get weights calibrated to their elevated lapse profile; your atomic clozes get weights that reflect their actual difficulty. This is what I do — MCQ, Cloze, and Basic each have their own preset — and the resulting intervals look noticeably different across note types.

That difference is the feature, not a bug. People sometimes see “Cloze interval = 30 days, MCQ interval = 60 days” and assume something’s broken. It’s not. The note types are doing genuinely different cognitive work with genuinely different forgetting curves; correctly tuned FSRS should produce different schedules.

Two honest caveats:

The atomic-card critique isn’t only about FSRS. When you fail 1 of 5 points and re-review all 5, you’re spending time on the 4 you knew and not isolating the weak point. You can mitigate that with image occlusion or sub-clozes where possible, but the time cost is real.

Also, you will only be able to optimize once you have enough reviews for that preset. So if I were you, I’d do that first, if you don’t have enough reviews, just use the optimized FSRS preset you already have (copy the preset) and this will over time (as you recalibrate FSRS, using the (optimize all presets button)), better adjust to your needs.

The added complexity is worth it, at least imo, especially as your note type variety grows. The alternative is letting one note type’s noise pollute scheduling for everything else.

Hope that helps, best.

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Gonna drop my 2 cents here, this is how I would make a card for those factoids:

The {{c1::Thyroid}} {{c2::hormone}} helps in

<ol>
  <li>{{c3::maintaining}} {{c4::BMR}}</li>
  <li>{{c5::production}} of {{c6::RBC}}</li>
  <li>{{c7::digestion}} of {{c8::carbs}}, {{c8::fats}} and {{c8::proteins}}</li>
  <li>{{c9::water}} and {{c9::electrolyte}} {{c10::balance}}</li>
</ol>

I used to do Front and Back cards way at the beginning (around 4/5 years ago), then I found that remembering lists of things is not something that was that useful to me, and switched to clozes where each list item would be a cloze. Then I found out that leaving blanks that big left too much space for a correct answer, and that it was becoming more of a matter of “remembering the order and which facts I included in my list” more than “remembering the fact”. That’s why I started breaking them down further within the list items, as in the example above. A nice bonus of this is that I can also use the same cloze number for the same word in multiple lines, so that I have more “context” to narrow down, exactly, what I should complete the blanks with.

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This sounds very reasonable and makes me again wonder why we have those fsrs settings per deck not per note type?

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8

Im very hesitant to use clozes, because then I feel like I do image recognition rather understand the text. How easy is it for you to recall this info later on, without anki in front of you?

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If a definition, city name, and so on are hidden, how can you recognize anything from the surrounding text? You’re forming connections, which is very useful. When we read, we also guess what will happen next, and practicing this skill in advance makes it easier for us to process information (it all works for auditory processing). But if we hide part of the image, we’re essentially also forming connections. It’s like a device: just looking at it from the outside makes it very difficult to disassemble it and understand all the connections inside. But once you figure out what’s inside, you’ll never forget the external appearance, because you’re held by all the connections (all the information) about the internal structure. I call this information redundancy. That is, to remember one concept, learn four or five connections between it and what you already know, and then you won’t forget it.

And why is Anki necessary for hiding text? You make a very narrow text, three words or seven, depending on your vision, and read it one word at a time. Okay, so you don’t have a computer, so hide it with a ruler and go. This whole thing was invented long ago, and some polyglots even now learn languages ​​this way: they pick up a book in a foreign language and underline the words they don’t know yet. Then they quickly skim through it again (that’s what spaced repetition is). Anki is good, but it’s just a tool, and everyone uses it as they can and if they want.

10

You can make 4 cards instead of 1.

Card 1: Thyroid hormone regulates which energy expenditure? ; Basal metabolic rate (BMR)
Card 2: Thyroid hormone stimulates the production of which blood cell? ; Red blood cells
Card 3: Thyroid hormone assists in the metabolism of which macronutrients? ; Carbohydrates, fats, and proteins
Card 4: Thyroid hormone regulates which bodily balance besides energy? ; Water and electrolyte balance

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You might mean “pattern recognition”, which means you won’t have to read the (entire) question but can still answer in anki what word was occluded. Of course, real life performance without that exact structure will be poor in that case.

You could learn to make your cards more uniform in structure, preventing pattern recognition. Or you could use Basic cards. They, too, might cause pattern recognition though, though in my experience basic cards are way better than cloze cards.

Edit: This is a great example of good basic cards that are more uniform in structure:

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Because you can easily make separate decks for each note type.

On the other hand, imagine that you’re a “simple user” who likes to only use the default note types. If you make the FSRS options per note type then you’d have to duplicate the basic note type multiple times just for the sake of separating some of your decks.

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Yes. Pattern recognition. By saying image I just wanted to emphasise that it has nothing to do with the meaning of the text (unlike other patterns which we have in language).

And yes, im tending to avoid clozes in favour of basics cards. Thats why Im asking for second opinion. Many people use clozes all the time.

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I can give you a brief overview on how I do it.

Personally, I only use two note types: a heavily modified Basic note type and image occlusion (from the image occlusion enhanced addon).

I use the following principles

  1. Understand card content first, where possible[1]
  2. Active Recall
  3. Spaced Repitition
  4. Interleaving (all my cards are in the same deck)
  5. Atomic cards (A card asks for a single thing only. I mostly do it for motivational purposes though, I get demotivated if I have to recall a wall of stuff on the same card)

I have a streak of almost 650 days and study multiple topics (all in one deck of course): psychology, programmimg and IT, some medical stuff, language learning, some others (like NATO Alphabet). This workflow works great for me.

And I avoid cloze at all costs. I did use them in the beginning but found that I wasn’t really able to recall clozed info in the real world. But of course, I might have just used them very ineffiently. Even my basic cards were bad in the beginning compared to what I have now.

  1. if it’s e.g. the greek alphabet, then understanding it might be difficult. But you should understand e.g. things like models, theories, ect. ↩︎

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