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Channel

🇯🇵Japanese learn آموزش زبان ژاپنی

@Japaneselearn_Jalali

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,449subscribers

+69 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001363047816
TypeChannel
Username@Japaneselearn_Jalali
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/Japaneselearn_Jalali

Growth

6,3776,4496,4136 August 2026 — 6,380 subscribers7 August 2026 — 6,377 subscribers9 August 2026 — 6,396 subscribers12 August 2026 — 6,431 subscribers16 August 2026 — 6,449 subscribers6 August 202616 August 2026
5 measurements spanning 10 days, net +69. 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 6,366–6,460 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 07:226,449+18
12 Aug 2026, 13:246,431+35
9 Aug 2026, 21:526,396+19
7 Aug 2026, 08:246,377-3
6 Aug 2026, 12:496,380first reading

Engagement

38 posts held, back to 28 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 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.87%
avg views ÷ 6,449 subscribers
Avg views / post
572
38 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
38
of 38 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 11 August 2026
Posts held38 (28 July 202611 August 2026)
Views total21,737
Reactions total328
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:11 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.

What this channel posts

Video runtime
3m 42s
Average length
17s

Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

328 reactions across 38 posts, in 19 distinct kinds. The most used accounts for 49.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16149.1%
🤩3410.4%
298.84%
🍓288.54%
❤‍🔥175.18%
😍154.57%
👏103.05%
🐳72.13%
😢61.83%
👍51.52%
👌41.22%
20.61%
🎉20.61%
💯20.61%
🙉20.61%
10.305%
🎄10.305%
🔥10.305%
🤗10.305%

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 38 of the 38 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 328reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 28 July 2026 to 11 August 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

11 Aug 2026, 15:28 UTC211 views9 reactionsread 12 August 2026
Photo

یکی از عمیق ترین اصطلاحات ژاپنی که ریشه در فرهنگ ذن و بودیسم داره، «شوشین» (Shoshin - 初心) به معنی «ذهنِ مبتدی» هست. معنای اصلیش: یعنی به هر تجربهای، حتی تکراریترین کارها، با چشمهای یک تازهکار و بدون پیشداوری نگاه کنی. انگار که اولین بار است آن را میبینی یا انجام میدهی. چرا مهمه؟ استادان بزرگ آییکیدو و ذن معتقدند که تخصص و تجربه، اگر مراقب نباشی، تبدیل به غرور و عادت های خشک میشود. «ذهنِ مبتدی، احتمالاتِ بی پایان دار

6👌1👏1🤩1

11 Aug 2026, 09:37 UTC281 views8 reactionsread 12 August 2026
Video

1. 世界は美しいです。 (Sekai wa utsukushii desu.) دنیا زیباست.☁️ 2. 朝日はとてもきれいですね。 (Asahi wa totemo kirei desu ne.) طلوع خورشید خیلی قشنگه، نه؟🧚‍♂ 3. 星が光っていて、ロマンチックです。 (Hoshi ga hikatte ite, romanchikku desu.) ستاره‌ها می‌درخشند و رمانتیک است.🦋 4. 花の色が鮮やかで、心が癒されます。 (Hana no iro ga azayaka de, kokoro ga iyasaremasu.) رنگ گلها زنده است و دل را آرام می‌کند🪼. 5. 山の頂上からの眺めは最高です。

8

10 Aug 2026, 17:04 UTC283 views5 reactionsread 12 August 2026

بیاین امـروز ۴ تا لغـت جدید یاد بگیـریم📝 _🧂 _ 🍽️ _ 🍴_ 🥢_ 🥄 _

👍5

10 Aug 2026, 09:35 UTC365 views13 reactionsread 12 August 2026
Video

夢を諦めないで、あなたの未来はあなたが作る。☁️🌊 小さな一歩でも、毎日続ければ大きな夢になる。 自分を信じて、輝く未来へ進もう。 هیچ‌وقت رویاهات رو رها نکن، آینده‌ات رو خودت می‌سازی. حتی یک قدم کوچک، اگر هر روز ادامه پیدا کند، تبدیل به یک رویای بزرگ می‌شود. به خودت باور داشته باش و به سمت آینده‌ای درخشان حرکت کن. ✨☁️ ˚ ༘ ೀ𓂃˚ ༘ ೀ𓂃˚ ༘ ೀ𓂃 @Japaneselearn_Jalali

10🍓3

9 Aug 2026, 16:43 UTC411 views11 reactionsread 12 August 2026
File

وویس کلمات بالا🪐☁️⭐️

🐳43🍓2👏1🔥1

9 Aug 2026, 16:01 UTC436 views10 reactionsread 12 August 2026
Photo

挑戦 (ちょうせん) — Chōsen معنی: چالش، تلاش برای انجام کاری سخت👒 成長 (せいちょう) — Seichō معنی: رشد، پیشرفت🧑‍🩰 努力 (どりょく) — Doryoku معنی: تلاش، کوشش💕 成功 (せいこう) — Seikō معنی: موفقیت☘ 未来 (みらい) — Mirai معنی: آینده🌧 可能性 (かのうせい) — Kanōsei معنی: احتمال، امکان، پتانسیل🦋 夢 (ゆめ) — Yume معنی: رویا، آرزو🌫 勇気 (ゆうき) — Yūki معنی: شجاعت🪷 経験 (けいけん) — Keiken معنی: تجربه🪐 希望 (きぼう) — Kibō معنی: امید☁️ ˚ ༘ ೀ𓂃˚ ༘ ೀ𓂃˚ ༘ ೀ𓂃 @Japaneselearn_Jalali

42🤩2👏1🤗1

9 Aug 2026, 09:47 UTC440 views8 reactionsread 12 August 2026
Video

۱. バス (باس) = اتوبوس جمله: 毎朝バスで学校に行きます。 (مایآسا باس دِ گاکّو نی ایکیماسو) هر روز صبح با اتوبوس به مدرسه میروم. ۲. 停留所 (تِیریوُجو) = ایستگاه اتوبوس جمله: 次の停留所で降ります。 (تسوگی نو تِیریوُجو دِ اُوریماسو) در ایستگاه بعدی پیاده میشوم. ۳. 運転手 (اُنتِنشو) = راننده اتوبوس جمله: 運転手さんが丁寧に教えてくれました。 (اُنتِنشو-سَن گا تِینِی نی اُوشیئته کُرِهماشیتا) آقای راننده با مهربانی به من توضیح داد. ۴. 路線バス (روسِن باس) = اتوبوس خطی (درون شهری

🤩4😢21😍1

Showing the 12 most recent of 38 posts we hold for @Japaneselearn_Jalali. 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.

Citation-graph rank

Citation-graph rank — 211,308 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“🇯🇵Japanese learn آموزش زبان ژاپنی” (@Japaneselearn_Jalali), 6,449 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/Japaneselearn_Jalali.

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.