استاد برای کلاس خصوصی ژاپنی: @yuutaa ممنون میشم به دوستانتون معرفی کنید.♡

Channel
日本の都市
@nihon_l
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
127subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001389880205 |
|---|---|
| Type | Channel |
| Username | @nihon_l |
| Description | خوش اومدین 🌸 شرایط ادمین شدن👈 #ادمین پی ام ناشناس چنل @pm_nihon_l کپی فقط نسبت با چیزی که کپی کردین یه پست هم به ما بدین =) هشتگ ها👈 #هشتگ_های_کانال درخواست، سوال، انتقاد👇 / @Setarehpm_bot گروه چنل https://t.me/joinchat/C8o8MUSpm5sidWYsey_KwA |
| Created | Between 1 March 2018 and 27 January 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/nihon_l |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 02:01 | 127 | no change |
| 6 Aug 2026, 13:31 | 127 | first reading |
Engagement
16 posts held, back to 27 January 2019 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 20 August 2023. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 283
- Videos
- 6
- Links
- 11
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 4m 32s
- Average length
- 4m 32s
Measured directly from 1 video 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.
Recent posts
سلام اگر علاقه داشتید پیام بدید ممنون🙏🏻🌷 @aratadesu
الان ژاپن اوضاع کرونا بهتر شده!!
#namba #ナンバ #南 #minami
Photo, posted without a caption
عکس هایی که با دستگاه پوریکورا انداخته شده
پوریکورا به دستگاهی میگن ک میتونی باهاش عکس بگیری اما قیافتون خیلی با قیافه ی واقعیتون فرق میکنه از نظر چشم چشم هارو درشت میکنه پوستتونو سفید تر میکنه و صورتتونو کوچیک تر میکنه #پوریکورا #purikura
دراین بخش با گرامر を آشنا خواهیم شد. کلمات رو مرور میکنیم; 📺テレビ - terebi - تلویزیون 👀見ます - mimasu - تماشا 🍳朝ご飯 - asagohan - صبحانه 😛食べます - tabemasu - خوردن، میل کردن ・گرامر を مفعول را در یک موضوع نشانه گذاری میکند. 1.テレビ を 見ます 1. من تلویزیون رو نگاه میکنم 2.朝ご飯 を 食べます 2. من صبحانه رو خوردم 3.日本語 を 勉強 してい ます 3. من دارم ژاپنی رو یادگیری میکنم به همین سادگی #کلمه #گرامر #جمله #Suzuhana @nihon_l
تب . نِتسو تبدیل . هِن کا پنجره . پان کو تابلو . کانبان تنگ . سِمای تعمیر . شو ری تولید . سِی سان #کلمه @nihon_l
در این بخش با گرامر と آشنا خواهیم شد ابتدا کلمات را مرور میکنیم; 🥚卵 - tamago - تخم مرغ 🥛牛乳 - gyuunyuu - شیر گاو 🛒買い - kai - خرید کردن 👥友達 - tomodachi - رفیق 🎓勉強 - beknkyou - مطالعه، یادگیری 🌒明日 - ashita - فردا 🏫学校 - gakkou - مدرسه 🚶🏻♂️行く - iku - رفتن گرامر と، برای وصل کردن دو کلمه در یک جمله استفاده میشود. نزدیک ترین حالتِ این عبارت در انگلیسی "and" است. 卵 と 牛乳 を 買い ました تخم مرغ و شیر خریدم در این نمونه، と به معن…
خیلی قشنگ بود دلم نیومد نزارم پ ن: نخوریدم امروز فعالیت میکنم:/ 🅱️ @BESTPER ☜
در این بخش کاربرد گرامر の (نو) رو خواهیم آموخت. ابتدا کلمات رو مرور میکنیم; 📚本 - hon - کتاب 🏢大学 - daigaku - دانشگاه 🎓学生 - gakusei - دانشجو 👤誰 - dare - کسی، شخصی 🔼前 - mae - جلو، روبرو،گذشته ↪️後ろ - ushiro - کنار، پشت 🛋椅子 - isu - صندلی 🇬🇧英語 - eigo - انگلیسی 💼先生 - sensei - معلم، استاد این گرامر کاربرد های زیادی دارد و بسیار قدرتمند است. میشه از این گرامر مثل と و や برای وصل کردن یک کلمه یا بیشتر استفاده کرد. اگه بخوام ب…
Showing the 12 most recent of 16 posts we hold for @nihon_l. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“日本の都市” (@nihon_l), 127 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/nihon_l.
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.