I reviewed a card today and it appears due again …
In setting next day starts 4 hours past midnight
I guess it is this bug ? Reviewer should refresh as the day rolls over · Issue #2606 · ankitects/anki · GitHub
I think it’s different. I suspect the card was modified on two devices which caused a sync conflict: https://www.youtube.com/watch?v=YkiM4DPzSVc&list=PLGgmaKOIHykFoomqkBJAyGiDQ2kyiuTao&index=1&t=224s
I didn’t do any review on another device but I tried to sync my collection on my phone. The collection is too big and I just gave up. It is not the first time that this happens 
is there a way to reverse the scheduling to my previous answers?
I have FSRS with autoreschedule, balancing and siblings disperse enabled
Well, it says disperse in the screenshot. So I’m guessing it’s that.
Its stability is 2.4 days. I don’t know which algorithm scheduled the 9 days interval. Please share your configuration of FSRS.
I do my reviews using a filtered deck for due and overdue cards
// FSRS4Anki v4.5.6 Scheduler Qt6
set_version();
// The latest version will be released on https://github.com/open-spaced-repetition/fsrs4anki/releases/latest
// Configuration Start
const deckParams = [
{
// Default parameters of FSRS4Anki for global
"deckName": "global config for FSRS4Anki",
"w": [0.4, 0.6, 2.4, 5.8, 4.93, 0.94, 0.86, 0.01, 1.49, 0.14, 0.94, 2.18, 0.05, 0.34, 1.26, 0.29, 2.61],
// The above parameters can be optimized via FSRS4Anki optimizer.
// For details about the parameters, please see: https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm
// User's custom parameters for global
"requestRetention": 0.9, // recommended setting: 0.75 ~ 0.95
"maximumInterval": 90,
// FSRS only modifies the long-term scheduling. So (re)learning steps in deck options work as usual.
// I recommend setting steps shorter than 1 day.
},
{
// Example 1: User's custom parameters for this deck and its sub-decks.
"deckName": "MainDeck1",
"w": [0.6, 0.9, 2.9, 6.8, 4.72, 1.02, 1, 0.04, 1.49, 0.17, 1.02, 2.15, 0.07, 0.35, 1.17, 0.32, 2.53],
"requestRetention": 0.9,
"maximumInterval": 36500,
},
{
// Example 2: User's custom parameters for this deck and its sub-decks.
// Don't omit any keys.
"deckName": "MainDeck2::SubDeck::SubSubDeck",
"w": [0.6, 0.9, 2.9, 6.8, 4.72, 1.02, 1, 0.04, 1.49, 0.17, 1.02, 2.15, 0.07, 0.35, 1.17, 0.32, 2.53],
"requestRetention": 0.9,
"maximumInterval": 36500,
}
];
// To turn off FSRS in specific decks, fill them into the skip_decks list below.
// Please don't remove it even if you don't need it.
const skip_decks = ["MainDeck3", "MainDeck4::SubDeck"];
// "Fuzz" is a small random delay applied to new intervals to prevent cards from
// sticking together and always coming up for review on the same day
const enable_fuzz = true;
// FSRS supports displaying memory states of cards.
// Enable it for debugging if you encounter something wrong.
const display_memory_state = true;
// Configuration End
debugger;
// display if FSRS is enabled
if (display_memory_state) {
const prev = document.getElementById('FSRS_status')
if (prev) { prev.remove(); }
var fsrs_status = document.createElement('span');
fsrs_status.innerHTML = "<br>FSRS enabled";
fsrs_status.id = "FSRS_status";
fsrs_status.style.cssText = "font-size:12px;opacity:0.5;font-family:monospace;text-align:left;line-height:1em;";
document.body.appendChild(fsrs_status);
document.getElementById("qa").style.cssText += "min-height:50vh;";
}
let params = {};
// get the name of the card's deck
if (deck_name = get_deckname()) {
if (display_memory_state) {
fsrs_status.innerHTML += "<br>Deck name: " + deck_name;
}
for (const i of skip_decks) {
if (deck_name.startsWith(i)) {
fsrs_status.innerHTML = fsrs_status.innerHTML.replace("FSRS enabled", "FSRS disabled");
return;
}
}
// Arrange the deckParams of sub-decks in front of their parent decks.
deckParams.sort(function(a, b) {
return -a.deckName.localeCompare(b.deckName);
});
for (let i = 0; i < deckParams.length; i++) {
if (deck_name.startsWith(deckParams[i]["deckName"])) {
params = deckParams[i];
break;
}
}
} else {
if (display_memory_state) {
fsrs_status.innerHTML += "<br>Deck name not found";
}
}
if (Object.keys(params).length === 0) {
params = deckParams.find(deck => deck.deckName === "global config for FSRS4Anki");
}
var w = params["w"];
var requestRetention = params["requestRetention"];
var maximumInterval = params["maximumInterval"];
// auto-calculate intervalModifier
const intervalModifier = 9 * (1 / requestRetention - 1);
// global fuzz factor for all ratings.
const fuzz_factor = set_fuzz_factor();
const ratings = {
"again": 1,
"hard": 2,
"good": 3,
"easy": 4
};
// For new cards
if (is_new()) {
init_states();
const good_interval = next_interval(customData.good.s);
const easy_interval = Math.max(next_interval(customData.easy.s), good_interval + 1);
if (states.good.normal?.review) {
states.good.normal.review.scheduledDays = good_interval;
}
if (states.easy.normal?.review) {
states.easy.normal.review.scheduledDays = easy_interval;
}
// For learning/relearning cards
} else if (is_learning()) {
// Init states if the card didn't contain customData
if (is_empty()) {
init_states();
}
const good_interval = next_interval(customData.good.s);
const easy_interval = Math.max(next_interval(customData.easy.s), good_interval + 1);
if (states.good.normal?.review) {
states.good.normal.review.scheduledDays = good_interval;
}
if (states.easy.normal?.review) {
states.easy.normal.review.scheduledDays = easy_interval;
}
// For review cards
} else if (is_review()) {
// Convert the interval and factor to stability and difficulty if the card didn't contain customData
if (is_empty()) {
convert_states();
}
const interval = states.current.normal?.review.elapsedDays ? states.current.normal.review.elapsedDays : states.current.filtered.rescheduling.originalState.review.elapsedDays;
const last_d = customData.again.d;
const last_s = customData.again.s;
const retrievability = Math.pow(1 + interval / (9 * last_s), -1)
if (display_memory_state) {
fsrs_status.innerHTML += "<br>D: " + last_d + "<br>S: " + last_s + "<br>R: " + (retrievability * 100).toFixed(2) + "%";
}
customData.again.d = next_difficulty(last_d, "again");
customData.again.s = next_forget_stability(customData.again.d, last_s, retrievability);
customData.hard.d = next_difficulty(last_d, "hard");
customData.hard.s = next_recall_stability(customData.hard.d, last_s, retrievability, "hard");
customData.good.d = next_difficulty(last_d, "good");
customData.good.s = next_recall_stability(customData.good.d, last_s, retrievability, "good");
customData.easy.d = next_difficulty(last_d, "easy");
customData.easy.s = next_recall_stability(customData.easy.d, last_s, retrievability, "easy");
let hard_interval = next_interval(customData.hard.s);
let good_interval = next_interval(customData.good.s);
let easy_interval = next_interval(customData.easy.s);
hard_interval = Math.min(hard_interval, good_interval)
good_interval = Math.max(good_interval, hard_interval + 1);
easy_interval = Math.max(easy_interval, good_interval + 1);
if (states.hard.normal?.review) {
states.hard.normal.review.scheduledDays = hard_interval;
}
if (states.good.normal?.review) {
states.good.normal.review.scheduledDays = good_interval;
}
if (states.easy.normal?.review) {
states.easy.normal.review.scheduledDays = easy_interval;
}
}
function constrain_difficulty(difficulty) {
return Math.min(Math.max(+difficulty.toFixed(2), 1), 10);
}
function apply_fuzz(ivl) {
if (!enable_fuzz || ivl < 2.5) return ivl;
ivl = Math.round(ivl);
let min_ivl = Math.max(2, Math.round(ivl * 0.95 - 1));
let max_ivl = Math.round(ivl * 1.05 + 1);
if (is_review()) {
const scheduledDays = states.current.normal?.review.scheduledDays ? states.current.normal.review.scheduledDays : states.current.filtered.rescheduling.originalState.review.scheduledDays;
if (ivl > scheduledDays) {
min_ivl = Math.max(min_ivl, scheduledDays + 1);
}
}
return Math.floor(fuzz_factor * (max_ivl - min_ivl + 1) + min_ivl);
}
function next_interval(stability) {
const new_interval = apply_fuzz(stability * intervalModifier);
return Math.min(Math.max(Math.round(new_interval), 1), maximumInterval);
}
function next_difficulty(d, rating) {
let next_d = d - w[6] * (ratings[rating] - 3);
return constrain_difficulty(mean_reversion(w[4], next_d));
}
function mean_reversion(init, current) {
return w[7] * init + (1 - w[7]) * current;
}
function next_recall_stability(d, s, r, rating) {
let hardPenalty = rating === "hard" ? w[15] : 1;
let easyBonus = rating === "easy" ? w[16] : 1;
return +(s * (1 + Math.exp(w[8]) *
(11 - d) *
Math.pow(s, -w[9]) *
(Math.exp((1 - r) * w[10]) - 1) *
hardPenalty *
easyBonus)).toFixed(2);
}
function next_forget_stability(d, s, r) {
return +Math.min(w[11] *
Math.pow(d, -w[12]) *
(Math.pow(s + 1, w[13]) - 1) *
Math.exp((1 - r) * w[14]), s).toFixed(2);
}
function init_states() {
customData.again.d = init_difficulty("again");
customData.again.s = init_stability("again");
customData.hard.d = init_difficulty("hard");
customData.hard.s = init_stability("hard");
customData.good.d = init_difficulty("good");
customData.good.s = init_stability("good");
customData.easy.d = init_difficulty("easy");
customData.easy.s = init_stability("easy");
}
function init_difficulty(rating) {
return +constrain_difficulty(w[4] - w[5] * (ratings[rating] - 3)).toFixed(2);
}
function init_stability(rating) {
return +Math.max(w[ratings[rating] - 1], 0.1).toFixed(2);
}
function convert_states() {
const scheduledDays = states.current.normal ? states.current.normal.review.scheduledDays : states.current.filtered.rescheduling.originalState.review.scheduledDays;
const easeFactor = states.current.normal ? states.current.normal.review.easeFactor : states.current.filtered.rescheduling.originalState.review.easeFactor;
const old_s = +Math.max(scheduledDays, 0.1).toFixed(2);
const old_d = constrain_difficulty(11 - (easeFactor - 1) / (Math.exp(w[8]) * Math.pow(old_s, -w[9]) * (Math.exp(0.1 * w[10]) - 1)));
customData.again.d = old_d;
customData.again.s = old_s;
customData.hard.d = old_d;
customData.hard.s = old_s;
customData.good.d = old_d;
customData.good.s = old_s;
customData.easy.d = old_d;
customData.easy.s = old_s;
}
function is_new() {
if (states.current.normal?.new !== undefined) {
if (states.current.normal?.new !== null) {
return true;
}
}
if (states.current.filtered?.rescheduling?.originalState !== undefined) {
if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'new')) {
return true;
}
}
return false;
}
function is_learning() {
if (states.current.normal?.learning !== undefined) {
if (states.current.normal?.learning !== null) {
return true;
}
}
if (states.current.filtered?.rescheduling?.originalState !== undefined) {
if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'learning')) {
return true;
}
}
if (states.current.normal?.relearning !== undefined) {
if (states.current.normal?.relearning !== null) {
return true;
}
}
if (states.current.filtered?.rescheduling?.originalState !== undefined) {
if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'relearning')) {
return true;
}
}
return false;
}
function is_review() {
if (states.current.normal?.review !== undefined) {
if (states.current.normal?.review !== null) {
return true;
}
}
if (states.current.filtered?.rescheduling?.originalState !== undefined) {
if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'review')) {
return true;
}
}
return false;
}
function is_empty() {
return !customData.again.d | !customData.again.s | !customData.hard.d | !customData.hard.s | !customData.good.d | !customData.good.s | !customData.easy.d | !customData.easy.s;
}
function set_version() {
const version = "v4.5.6";
customData.again.v = version;
customData.hard.v = version;
customData.good.v = version;
customData.easy.v = version;
}
function get_deckname() {
if (typeof ctx !== 'undefined' && ctx.deckName) {
return ctx.deckName;
} else if (document.getElementById("deck") !== null && document.getElementById("deck").getAttribute("deck_name")) {
return document.getElementById("deck").getAttribute("deck_name");
} else {
return null;
}
}
function get_seed() {
if (!customData.again.seed | !customData.hard.seed | !customData.good.seed | !customData.easy.seed) {
if (typeof ctx !== 'undefined' && ctx.seed) {
return ctx.seed;
} else {
return document.getElementById("qa").innerText;
}
} else {
return customData.good.seed;
}
}
function set_fuzz_factor() {
// Note: Originally copied from seedrandom.js package (https://github.com/davidbau/seedrandom)
!function(f,a,c){var s,l=256,p="random",d=c.pow(l,6),g=c.pow(2,52),y=2*g,h=l-1;function n(n,t,r){function e(){for(var n=u.g(6),t=d,r=0;n<g;)n=(n+r)*l,t*=l,r=u.g(1);for(;y<=n;)n/=2,t/=2,r>>>=1;return(n+r)/t}var o=[],i=j(function n(t,r){var e,o=[],i=typeof t;if(r&&"object"==i)for(e in t)try{o.push(n(t[e],r-1))}catch(n){}return o.length?o:"string"==i?t:t+"\0"}((t=1==t?{entropy:!0}:t||{}).entropy?[n,S(a)]:null==n?function(){try{var n;return s&&(n=s.randomBytes)?n=n(l):(n=new Uint8Array(l),(f.crypto||f.msCrypto).getRandomValues(n)),S(n)}catch(n){var t=f.navigator,r=t&&t.plugins;return[+new Date,f,r,f.screen,S(a)]}}():n,3),o),u=new m(o);return e.int32=function(){return 0|u.g(4)},e.quick=function(){return u.g(4)/4294967296},e.double=e,j(S(u.S),a),(t.pass||r||function(n,t,r,e){return e&&(e.S&&v(e,u),n.state=function(){return v(u,{})}),r?(c[p]=n,t):n})(e,i,"global"in t?t.global:this==c,t.state)}function m(n){var t,r=n.length,u=this,e=0,o=u.i=u.j=0,i=u.S=[];for(r||(n=[r++]);e<l;)i[e]=e++;for(e=0;e<l;e++)i[e]=i[o=h&o+n[e%r]+(t=i[e])],i[o]=t;(u.g=function(n){for(var t,r=0,e=u.i,o=u.j,i=u.S;n--;)t=i[e=h&e+1],r=r*l+i[h&(i[e]=i[o=h&o+t])+(i[o]=t)];return u.i=e,u.j=o,r})(l)}function v(n,t){return t.i=n.i,t.j=n.j,t.S=n.S.slice(),t}function j(n,t){for(var r,e=n+"",o=0;o<e.length;)t[h&o]=h&(r^=19*t[h&o])+e.charCodeAt(o++);return S(t)}function S(n){return String.fromCharCode.apply(0,n)}if(j(c.random(),a),"object"==typeof module&&module.exports){module.exports=n;try{s=require("crypto")}catch(n){}}else"function"==typeof define&&define.amd?define(function(){return n}):c["seed"+p]=n}("undefined"!=typeof self?self:this,[],Math);
// MIT License
// Copyright 2019 David Bau.
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.
let seed = get_seed();
const generator = new Math.seedrandom(seed);
const fuzz_factor = generator();
seed = Math.round(fuzz_factor * 10000);
customData.again.seed = (seed + 1) % 10000;
customData.hard.seed = (seed + 2) % 10000;
customData.good.seed = (seed + 3) % 10000;
customData.easy.seed = (seed + 4) % 10000;
return fuzz_factor;
}
What’s your original next day starts? Is it 6 hours? If so, FSRS may ignore your third reviews. You can reschedule the card to get the correct result.
Do you have tried reschedule?
Reschedule is useful but the question is why these errors happen in the first place.
Someone can use this feature only if he notices the difference, otherwise he will review in irregular intervals
Could you add in the card info details about when a card was rescheduled or rescheduled based on new weights?
Because if I review the card again it will show v4.5.6 for example and not v=reschedule
Than you for your quick responses 
I guess the error is caused by changing next day starts.
I don’t remember doing such a change 
I’ve been experiencing this issue as well. Cards that I put in the “learning stage” 
automatically reappear in the “new stage” 
after syncing and checking the data base multi times. Also, cards that I mark from “learning” to “review” ->:green_square: automatically come back as “review” for no reason. The backup deck has them in the correct place but the server doesn’t. No switching between devices and it happens within the hour sometimes. It will do this for 1 deck but not another.
I’ve had to import the backup deck for the past couple of weeks… Any solutions?
1 Like
Could you reproduce this bug? And I hope you can open an issue in
It happened to me multiple times but not again. One thing that I also notice is that the sync button becomes blue without making any changes or reviewing cards
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