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Channel

Learn Japanese with japandict.com

@Learn_Japanese

On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry

29,037subscribers

+2 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001043777055
TypeChannel
Username@Learn_Japanese
CreatedBetween 1 January 2016 and 31 October 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/Learn_Japanese

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

29,02529,04729,0365 August 2026 — 29,035 subscribers6 August 2026 — 29,035 subscribers6 August 2026 — 29,038 subscribers7 August 2026 — 29,043 subscribers8 August 2026 — 29,036 subscribers9 August 2026 — 29,039 subscribers10 August 2026 — 29,029 subscribers11 August 2026 — 29,025 subscribers13 August 2026 — 29,033 subscribers14 August 2026 — 29,036 subscribers16 August 2026 — 29,031 subscribers17 August 2026 — 29,030 subscribers18 August 2026 — 29,038 subscribers19 August 2026 — 29,047 subscribers20 August 2026 — 29,043 subscribers21 August 2026 — 29,034 subscribers23 August 2026 — 29,045 subscribers25 August 2026 — 29,031 subscribers26 August 2026 — 29,029 subscribers26 August 2026 — 29,025 subscribers27 August 2026 — 29,037 subscribers28 August 2026 — 29,039 subscribers30 August 2026 — 29,041 subscribers1 September 2026 — 29,042 subscribers2 September 2026 — 29,035 subscribers3 September 2026 — 29,036 subscribers5 September 2026 — 29,034 subscribers8 September 2026 — 29,041 subscribers11 September 2026 — 29,037 subscribers29,0375 August 202611 September 2026
29 measurements spanning 36 days, net +2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 29,022–29,050 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
11 Sept 2026, 08:1929,037-4
8 Sept 2026, 12:3829,041+7
5 Sept 2026, 07:0229,034-2
3 Sept 2026, 08:4529,036+1
2 Sept 2026, 03:4329,035-7
1 Sept 2026, 00:4829,042+1
30 Aug 2026, 21:2529,041+2
28 Aug 2026, 20:4329,039+2
27 Aug 2026, 21:0729,037+12
26 Aug 2026, 23:4329,025-4
26 Aug 2026, 03:1329,029-2
25 Aug 2026, 00:0829,031-14
23 Aug 2026, 12:1629,045+11
21 Aug 2026, 22:3929,034-9
20 Aug 2026, 15:2429,043-4
19 Aug 2026, 16:1229,047+9
18 Aug 2026, 17:4229,038+8
17 Aug 2026, 17:4629,030-1
16 Aug 2026, 14:5629,031-5
14 Aug 2026, 20:2729,036first reading

Engagement

50 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.6%
avg views ÷ 29,037 subscribers
Avg views / post
7,140
23 posts measured
Reaction rate
0.489%
reactions ÷ views · ER floor
Posts in window
23
of 50 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held50 (17 July 20263 September 2026)
Views total164,310
Reactions total803
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 12:12 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

1,803 reactions across 49 posts, in 43 distinct kinds. The most used accounts for 61.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,10861.5%
👍18310.1%
👀1236.82%
🤯563.11%
🐳341.89%
🥱291.61%
🦄281.55%
221.22%
🗿201.11%
🕊150.832%
👌140.776%
🤗130.721%
🔥110.61%
🏆100.555%
😢90.499%
🙈90.499%
🤩90.499%
🥰80.444%
🙊70.388%
🆒60.333%
23 further kinds894.94%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 50 of the 50 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,860 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 50 most recent posts we hold, published 17 July 2026 to 3 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

3 Sept 2026, 13:00 UTC≈1,650 views33 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 水 📖 みず (mizu) 🇬🇧 water 👉 Hear it, see examples & more: https://jpdct.com/FOx8?s=T

🐳21👍621👀1🤯1😭1

2 Sept 2026, 13:00 UTC≈2,690 views34 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 歩く 📖 あるく (aruku) 🇬🇧 to walk 👉 Hear it, see examples & more: https://jpdct.com/FxtQ?s=T

26👀3👍2🕊2🔥1

1 Sept 2026, 13:00 UTC≈3,600 views40 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 茶色 📖 ちゃいろ (chairo) 🇬🇧 light brown, tawny 👉 Hear it, see examples & more: https://jpdct.com/FbWA?s=T

17👍13🕊4😁4👀1🙈1

31 Aug 2026, 13:00 UTC≈4,340 views35 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 窓 📖 まど (mado) 🇬🇧 window 👉 Hear it, see examples & more: https://jpdct.com/FWI4?s=T

19👍7🕊4😢4👀1

30 Aug 2026, 13:00 UTC≈5,060 views33 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 出口 📖 でぐち (deguchi) 🇬🇧 exit, gateway, way out, outlet, leak, vent 👉 Hear it, see examples & more: https://jpdct.com/FG3i?s=T

20👍8👀2🔥2🥰1

29 Aug 2026, 13:00 UTC≈5,510 views34 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 借りる 📖 かりる (kariru) 🇬🇧 to borrow, to have a loan, to hire, to rent, to buy on credit 👉 Hear it, see examples & more: https://jpdct.com/FDIo?s=T

22👍5👎3👀2🤝2

28 Aug 2026, 13:00 UTC≈5,840 views36 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 午前 📖 ごぜん (gozen) 🇬🇧 morning, A.M., am 👉 Hear it, see examples & more: https://jpdct.com/E11E?s=T

🥱1615👍3👀2

27 Aug 2026, 13:00 UTC≈6,410 views34 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 閉める 📖 しめる (shimeru) 🇬🇧 to close, to shut 👉 Hear it, see examples & more: https://jpdct.com/FwTu?s=T

14👍11🙊6👀2😁1

26 Aug 2026, 13:00 UTC≈6,850 views39 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 色 📖 いろ (iro) 🇬🇧 colour, sensuality, lust 👉 Hear it, see examples & more: https://jpdct.com/FLcg?s=T

254👀4🌭3👍2👌1

25 Aug 2026, 13:00 UTC≈7,220 views37 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 私 📖 わたし (watashi) 🇬🇧 I, myself, private affairs 👉 Hear it, see examples & more: https://jpdct.com/FAGG?s=T

25👍5👌4🤯2👀1

24 Aug 2026, 13:00 UTC≈7,320 views35 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 箱 📖 はこ (hako) 🇬🇧 box 👉 Hear it, see examples & more: https://jpdct.com/GDHy?s=T

28👀4🆒3

23 Aug 2026, 13:00 UTC≈7,720 views38 reactionsread 4 September 2026

🇯🇵 JapanDict Word of the Day 働く 📖 はたらく (hataraku) 🇬🇧 to work, to labor, to do, to act, to commit, to practise, to work on, to come into play 👉 Hear it, see examples & more: https://jpdct.com/FiSO?s=T

26💊5👀4😱3

Showing the 12 most recent of 50 posts we hold for @Learn_Japanese. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#5
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@Learn_Japanese_Lang · 4,677
#6
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@jlpt_n4 · 5,344
#7
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@LearnJapanese · 4,245
#8
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@jlptlearn · 10,939
#9
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@kanjilover · 7,043
#10
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#11
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#12
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@korean_language_kpop_dorama · 64,087
#13
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@LearnJapaneseOfficial · 750 (as read 9 September 2026)
#14
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@ajatt_tools · 1,590
#15
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@hori_sensei · 2,587
#16
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@Learn_Mandarin · 12,226
#17
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@japan · 19,898
#18
N5 JLPT
@jlptN5 · 3,377
#19
Learn korean lang
@learn_korean_lang_with_abeer · 4,214
#20
Grid
@sandu · 363
#21
English Language & Grammar
@englishlanguage · 92,478
#22
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@learnChinesestepbystep · 13,072
#23
Aulas de Japonês com Luiz Rafael
@programajaponesonline · 4,853
#24
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@chineseclass101 · 6,444
#25
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@LearnFrenchDaily · 12,833
#26
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@jpvocabulary · 1,371
#27
English Language
@English_Language_IELTS_TOEFL · 128,408
#28
何必日語
@hobi568 · 2,530
#29
آموزش ژاپنی | فوجی سان🗻
@Fujisan1 · 1,549
#30
yasashii nihongo
@yasuinihonngo · 498
#31
Nihongo
@cursodejapones · 827
#32
🇯🇵Japanese Dramas📽 for listening and speaking
@japanesedramas · 5,351
#33
Книги по японскому языку 🌸 Books of Japanese Language 🌸
@japanese_books · 3,398
#34
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@kaiwa_practice · 10,420
#35
𝗥𝗢𝗔𝗗 𝗧𝗢 𝗝𝗔𝗣𝗔𝗡🇯🇵 ™
@ROAD_TO_JAPAN · 2,327
#36
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@learnkoreanpod101 · 1,899 (as read 9 September 2026)
#37
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@japan_japanese_anime_movies_lang · 10,830
#38
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@cursonihongo · 2,021
#39
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@nihongosenpai · 1,400
#40
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@anime_news · 18,556
#41
JLPT (Japanese) Study Material
@japaneselearnin · 1,040 (as read 9 September 2026)
#42
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@nhkworld · 1,038
#43
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@japanese_anime_music · 8,806
#44
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@animuism · 4,074
#45
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@Anime_news_latest · 13,669
#46
🇺🇦 Pokémon Central Channel 🏳️‍🌈
@pokemoncentral · 524
#47
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@franc_learn · 930 (as read 9 September 2026)
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@progettogenderqueer · 528
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@AprenderNihongo · 1,085
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@littledayout · 1,470
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@spyxfamilybr · 8,279
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@patristic_perspectives · 676
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@yac_margins · 1,284
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@LTASingapore · 36,053
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@spanish_book · 10,153
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@LetsLearnkorean · 9,255
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@KoreanLanguageClass · 11,418
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@Manga_Archivez · 5,212
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Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

🇰🇷 Korean Language | 한국 🇰🇷
@korean_language_kpop_dorama · 64,087
Telegram ranks this channel #13 of 78 here — alongside 77 others — read 21 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 September 2026 — this entry's latest reading, not the date you are reading this.

“Learn Japanese with japandict.com” (@Learn_Japanese), 29,037 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/Learn_Japanese.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.