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What a wrong answer costs you on WaniKani

A miss at Guru or above knocks an item down two SRS stages instead of one. That rule is behind most of the folklore about WaniKani accuracy, including a claim that circulates in a few different forms: that somewhere around 80% you start demoting more than you promote, and your queue begins moving backwards.

No such threshold exists. Your queue cannot run backwards. What a low accuracy does is quieter and more expensive than that, and it shows up in a number nobody puts on a dashboard: how many times you have to answer the same item before it finally leaves you alone.

What a miss costs

WaniKani publishes the exact rule. The drop depends on how many times you missed the item in the session and on the stage it was sitting at when you missed it.

Demotion on a wrong answer
snew=max⁔(1,Ā sāˆ’āŒˆi2āŒ‰ā‹…f),f={2s≄51s<5s_{\text{new}} = \max\left(1,\ s - \left\lceil \tfrac{i}{2} \right\rceil \cdot f\right), \qquad f = \begin{cases} 2 & s \ge 5 \\ 1 & s < 5 \end{cases}
ss is the current stage, ii the incorrect answers you gave it this session, and ff the penalty factor. Guru I is stage 5, which is where the factor doubles. Nothing falls below Apprentice I.

Two consequences fall out of it. A single miss at Guru or above costs two stages, so a Guru II item lands back at Apprentice IV and owes you a fresh 47-hour wait plus a 7-day one to get back where it was. And a miss at Apprentice I costs nothing at all, because the floor catches it.

Miss it hereYou land atStages lost
Apprentice IApprentice Inone
Apprentice IIApprentice I1
Apprentice IIIApprentice II1
Apprentice IVApprentice III1
Guru IApprentice III2
Guru IIApprentice IV2
MasterGuru I2
EnlightenedGuru II2

Why your queue never runs backwards

The going-backwards claim comes from a reasonable-looking piece of arithmetic. A correct answer is worth +1 stage and a miss at Guru costs 2, so the expected movement per review is 3aāˆ’23a - 2, which hits zero at an item accuracy of two thirds. Below that, the reasoning goes, you are losing ground.

The arithmetic is right and the conclusion does not follow, because that drift is not the same at every stage. Below Guru a miss costs one stage, not two, and at Apprentice I it costs nothing. At 60% item accuracy the picture looks like this:

StageExpected movement per review
Apprentice I+0.60
Apprentice II+0.20
Apprentice III+0.20
Apprentice IV+0.20
Guru I-0.20
Guru II-0.20
Master-0.20
Enlightened-0.20

Guru and above is losing ground. Everything below it is gaining. Items pile up in the region where the drift is positive, climb out of it, fall back into it, and climb out again, and every item still reaches Burned eventually.

There is a shorter argument that settles it without any simulation. Apprentice I to Burned is a gap of eight stages. Every promotion is worth exactly +1, and every demotion costs at least 1. So over the life of any item that finishes, the number of promotions has to exceed the number of demotions by at least eight, at every accuracy there is. Run it at 50% item accuracy and the average item takes 89 promotions and 67 demotions to burn. Lopsided, slow, and still forward.

The bill arrives as reviews

Eight consecutive correct reviews take an item from a fresh lesson to Burned. That is the floor, and it is the same floor for everyone. Accuracy decides how far above it you land.

The per-question number WaniKani reports. Implies roughly 77% of reviews cleared without a single miss.

8 reviews: the floor, if you never miss+9.2 paid in misses
Lessons per day
To burn one item
17.2reviews
Steady review load
258/ day
Apprentice pile
135items
Eight clean reviews burn an item. Everything above that line is rework. Sign in to see this measured from your own burns instead.

The curve is gentle at the top and vicious at the bottom. Going from 90% to 85% item accuracy costs you about two extra reviews per item. Going from 70% to 60% costs you thirty.

Item accuracyReviews to burnDays to burn
100%8.0174
90%10.5204
85%12.4223
80%15.1247
75%19.0276
67%31.6344
60%55.0429
50%178.0677

What that does to a day

Reviews per item converts straight into reviews per day. A queue fed at some rate, whose members stay for some length of time, holds the product of the two. Each item you start eventually generates its full review count, so a steady lesson pace produces a daily load equal to the pace times the reviews each item costs.

Steady-state daily reviews
Rday=LƗN(a)R_{\text{day}} = L \times N(a)
LL is your lessons per day and N(a)N(a) the reviews one item needs at item accuracy aa. The relationship holds once the pipeline fills, whatever your reviews happen to do day to day.

At 15 lessons a day, held steady, that lands here:

Item accuracyReviews per dayApprentice pile
90%15772
85%18689
80%226114
75%285153
67%474281
60%825513
50%26701600

This is the mechanism behind the wall people hit somewhere in the twenties. Nothing changed about the lessons. The accuracy slipped, every item started costing more reviews, and the same daily habit stopped being enough to clear the day's queue. The pile does the rest on its own.

Where two thirds is a real number

The two-thirds figure does describe something true, just not a reversal. Below it, items that reach Guru tend to fall back out of it before they climb further, so your Apprentice pile is being fed from above as well as from your lessons. Guru stops being a milestone and becomes a place items visit.

That is what treading water feels like from the inside, and it is why the fix is rarely "study harder". The items bouncing off Guru are a small, identifiable set. They have a name.

Leeches are the items doing this to you, and they are worth attacking individually rather than by grinding the whole queue harder.

Your accuracy percentage flatters you

One catch sits underneath all of the above. Everything so far has been about item accuracy, meaning the share of reviews you clear without a single miss. The percentage WaniKani reports is a different quantity: it counts questions, and most items ask two of them.

Retries make the gap wider than it first looks. Miss a question and WaniKani puts the item back in the session, so you answer it again, and every attempt lands in your review statistics. A completed review always ends with one correct answer per question, because that is what completing it means, which gives an exact relationship rather than an estimate.

Reported accuracy against item accuracy
d=QQ+(1āˆ’a) md = \frac{Q}{Q + (1 - a)\,m}
dd is the per-question figure you are shown, QQ the questions an average review asks (just under 2, since radicals ask only a meaning), aa your item accuracy, and mm the wrong answers a failed review generates.

Because mm varies by person, the conversion is a range rather than a single number. An item accuracy of two thirds reads as anywhere from 75% to 85% depending on how many wrong answers your misses generate. You may see 2/3ā‰ˆ82%\sqrt{2/3} \approx 82\% quoted for this, from a model that assumes meaning and reading fail independently and ignores retries entirely. Both assumptions push the number the wrong way.

What to aim for

Reported accuracy in the high 80s is where the cost per item stops compounding. At 90% an item takes about 12 reviews to burn against a floor of eight, at 85% it is 17, at 80% it is 30. There is no cliff anywhere in that range, so treat a dip as a bill arriving rather than a failure state.

The lever is almost never accuracy itself. Accuracy is downstream of how many unfamiliar items you are holding in Apprentice at once, which is downstream of your lesson pace. Cutting lessons to 5 or 10 a day drains the pile, accuracy recovers because you are seeing fewer strangers per session, and the review cost per item falls with it. The lessons per day guide has the pacing side of this in detail.

The number worth watching is not the percentage. It is what your finished items cost. If your burns are averaging 12 reviews you are paying a 50% surcharge on every item you own; if they are averaging 25 you are paying triple, and that is worth acting on well before the queue makes the point for you.

See what your own items cost

Wanilog reads your review statistics and works out what each burned item took, which items are bouncing off Guru, and where your accuracy sits per level and per item type. Sign in with your API key to see yours; the key stays in your browser.

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