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Channel

Mihan Translate

@mihan_translate

On this record: Growth · Engagement · Posts · Citations · Cite this entry

3,644subscribers

-33 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-1001173256636
TypeChannel
Username@mihan_translate
CreatedBetween 1 March 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 held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/mihan_translate

Growth

3,6443,6773,660.56 August 2026 — 3,677 subscribers6 August 2026 — 3,677 subscribers6 August 2026 — 3,670 subscribers10 August 2026 — 3,657 subscribers13 August 2026 — 3,650 subscribers16 August 2026 — 3,644 subscribers6 August 202616 August 2026
6 measurements spanning 11 days, net -33. 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 3,639–3,682 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 19:573,644-6
13 Aug 2026, 15:383,650-7
10 Aug 2026, 09:213,657-13
6 Aug 2026, 23:023,670-7
6 Aug 2026, 04:333,677no change
6 Aug 2026, 01:323,677first reading

Engagement

13 posts held, back to 18 May 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.9%
avg views ÷ 3,644 subscribers
Avg views / post
432
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 13 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 19 July 2026
Posts held13 (18 May 202519 July 2026)
Views total432
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:57 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.

Recent posts

19 Jul 2026, 15:14 UTC432 viewsread 7 August 2026
File

#نمونه_کار موضوع : #تجارت الکترونیکی انگلیسی به فارسی 📚 @mihan_translate

27 May 2026, 19:14 UTC810 viewsread 7 August 2026

میهن ترنسلیت یک تیم همیشه در دسترس و‌ انلاین برای خدمت رسانی به شما عزیزان تیم ترجمه میهن ترنسلیت متشکل از مجرب ترین مترجم های کشوری می باشد که تمامی متون و کار های ترجمه شما رو به بهترین شکل ممکن انجام می دهد! 🔸پاسخگویی سریع 🔸کیفیت ایده آل 🔸قیمت مناسب 🔸تحویل به موقع 🔸مترجم تخصصی از هر رشته 🔸ترجمه تمامی زبان ها مفتخریم که توانسته ایم رضایت شماعزیزان رو جلب کنیم❤️ ارتباط با ما جهت سفارش👇 🆔 @mihan_translate_admin

25 Apr 2026, 10:15 UTC788 viewsread 7 August 2026
Forwarded from @mihan_proje

🛑 داخل چنلامون توی روبیکا و بله هم عضو بشید 👇👇👇👇 🛑 https://ble.ir/mihan_proje 🛑 https://rubika.ir/mihan_proje ❇️ لطفا همگی عضو بشید و حمایت کنید سپاس ❤️

19 Feb 2026, 17:42 UTC≈1,030 viewsread 7 August 2026
File

#نمونه_کار فارسی به انگلیسی 📚#سیاست #سیاسی 🆔 @mihan_translate

12 Feb 2026, 12:29 UTC≈1,130 viewsread 7 August 2026
File

#نمونه_کار ترجمه انگلیسی به فارسی 📚موضوع: #حقوق 🆔 @mihan_translate

21 Dec 2025, 10:40 UTC≈8,270 viewsread 7 August 2026

💝 تخفیف یلدایی 💝 با سلام خدمت شما عزیزان به مناسبت شب یلدا روی تمامی سفارشات ترجمه امروز #۲۰_درصد_تخفیف اعمال خواهد شد ❣ شب یلداتون پیشاپیش مبارک ❤️ فرصت رو از دست ندید و ازاین تخفیف نهایت استفاده رو ببرید ایدی جهت سفارش ترجمه 👇 🆔 @mihan_translate_admin -_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_- 🆑 @mihan_translate

25 Nov 2025, 19:56 UTC≈1,510 viewsread 7 August 2026
File

#نمونه_کار ترجمه انگلیسی به فارسی 🔰 موضوع : #تاریخ 🆔 @mihan_translate #میهن_ترنسلیت #ترجمه

31 Oct 2025, 18:01 UTC≈1,510 viewsread 7 August 2026
File

#نمونه_کار فارسی به انگلیسی 📚#سیاست #سیاسی 🆔 @mihan_translate

15 Oct 2025, 06:15 UTC≈1,820 viewsread 7 August 2026
Photo

📌نمونه کوچیکی از #رضایت #مشتریان ما بابت ترجمه هایی که بهشون تحویل دادیم. خرسندیم که توانسته ایم رضایت شما دوستان عزیز رو به دست بیاریم. با میهن ترنسلیت خیالتون همیشه بابت ترجمه هاتون راحته ❤️👌 📚 ...@mihan_translate... 📚 🔰 جهت سفارش ترجمه میتونید به ایدی زیر پیام دهید 👇 🆔 @mihan_translate_admin

20 Aug 2025, 12:49 UTC≈1,660 viewsread 7 August 2026
File

نمونه کار فارسی به انگلیسی 📚@mihan_translate

21 Jul 2025, 10:31 UTC≈2,110 viewsread 7 August 2026
File

#نمونه_کار انگلیسی به فارسی 📚 #حقوق 🆔 @mihan_translate

14 Jun 2025, 18:08 UTC≈2,500 viewsread 7 August 2026
File

#نمونه_کار 📚 موضوع : #اجتماعی ترجمه ویس فارسی به انگلیسی 🆔 @mihan_translate

Showing the 12 most recent of 13 posts we hold for @mihan_translate. 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 — 549,100 of 1,480,975entries 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

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

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

“Mihan Translate” (@mihan_translate), 3,644 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/mihan_translate.

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.