12 measurements spanning 34 days, net +60. 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 9,146–9,225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 20:37
9,216
+18
3 Sept 2026, 10:42
9,198
-2
31 Aug 2026, 11:17
9,200
+11
28 Aug 2026, 05:24
9,189
+2
24 Aug 2026, 23:13
9,187
+24
21 Aug 2026, 10:07
9,163
-1
18 Aug 2026, 02:52
9,164
+8
15 Aug 2026, 01:48
9,156
+1
11 Aug 2026, 17:05
9,155
-5
8 Aug 2026, 18:47
9,160
+4
6 Aug 2026, 02:52
9,156
no change
6 Aug 2026, 01:50
9,156
first reading
Engagement
51 posts held, back to 4 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.6%
avg views ÷ 9,216 subscribers
Avg views / post
1,900
23 posts measured
Reaction rate
0.158%
reactions ÷ views · ER floor
Posts in window
26
of 51 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. It is computed over the 21 of 23 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
51 (4 July 2026 – 28 August 2026)
Views total
43,653
Reactions total
64
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 15:12 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.
What this channel posts
Video runtime
4m 25s
Average length
24s
Measured directly from 11 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
179 reactions across 39 posts, in 5 distinct kinds. The most used accounts for 87.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
157
87.7%
👏
10
5.59%
👍
5
2.79%
🙏
5
2.79%
😍
2
1.12%
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 42 of the 51 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 190 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 4 July 2026 to 28 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.
‼️دورهٔ تربیت مدرس، محل نمایش رزومه یا بازاریابی شخصی نیست.
کسی که میخواهد مدرس تربیت کند، باید بتواند
✅️ یادگیری را طراحی کند
✅️ تدریس را مشاهده کند
✅️ بازخورد حرفهای بدهد و
✅️ فرصت تمرین واقعی
فراهم کند.
‼️عنوانهای بزرگ، سابقهٔ طولانی یا پیج پربازدید میتوانند جذاب باشند؛ اما معیار اصلی نیستند.
🎯معیار اصلی این است:
⁉️بعد از پایان دوره، آیا شما واقعاً میتوانید یک کلاس را طراحی و اداره کنید؟
⁉️یا فقط چند اصط…
🚀 آغاز دومین مدرسه تابستانه تربیت مدرس زبانهای خارجی با هوش مصنوعی
با افتخار، دومین مدرسه تابستانه تربیت مدرس زبانهای خارجی با رویکرد هوش مصنوعی با حضور ۵۰ نفر از مدرسان و علاقهمندان حوزه آموزش زبان آغاز شد.
در این برنامه، شرکتکنندگان با کاربردهای عملی، خلاقانه و مسئولانهی ابزارهای هوش مصنوعی در آموزش زبانهای خارجی آشنا میشوند و تجربههایی نو برای طراحی فعالیتهای آموزشی، تولید محتوا، بازخورددهی و توسعه حرفه…
✅✅ قابل توجه افرادی که تمایل دارند زبان انگلیسی را از پایه یاد بگیرند یک کلاس داریم که هفته آینده در دانشگاه خوارزمی شروع میشه. برای ثبت نام به ادرس زیر مراجعه نمایید:
https://ptc.khu.ac.ir/Course/Detail/253
🔺️شانزدهین دوره تربیت مدرس زبان آلمانی توسط دانشگاه تربیت مدرس (حضوری- آنلاین)🔺️
🗓️ تاریخ برگزاری :11و 12و 13 شهریور ماه ( 48 ساعت)
✅ همراه با پذیرایی و میان وعده
🔰 همراه با مدرک قابل استعلام از دانشگاه تربیت مدرس و معرفی به بازار حرفه ای تدریس
📣مشاوره و پیش ثبت نام:
https://viraacademy.com/frm/germanttc
🔵کسب اطلاعات بیشتر از طریق بله:
@TMU_TTC
🔵مشاوره از طریق تلگرام:
@LC_TPD_Admin
دریافت مشاوره:
📞09379438037
📱…
🎯یک هفته مانده
تا ۳ روز یک نقطه عطف در مسیر تدریس شما
✨️ تصور کن:
درکنار اساتید برتر، مدرسان با انگیزه و فضایی پر انرژی
یادبگیری چطور با روش های خلاقانه و تکنیک های روز دنیا، کلاس های زبان رو متحول کنی ...
📍 کمپ تابستانه تربیت مدرس زبان های انگلیسی، فرانسه، آلمانی و ترکی استانبولی فرصتیِ برای اینکه :
✅️ مهارت تدریست رو به سطح بین المللی برسونی
✅️ با استفاده از هوش مصنوعی و ابزار های نوین ، کلاس متفاوت بسازی
✅…
✨️ تا شروع کمپ تابستانه دانشگاه دانشگاه تربیت مدرس چیزی نمونده
✅️ تربیت مدرس کودک و نوجوان
✅️ تربیت مدرس بزرگسال
✅️ تربیت مدرس آلمانی
✅️ تربیت مدرس فرانسه
✅️ تربیت مدرس ترکی استانبولی
✅️ آموزش زبان های خارجه با هوش مصنوعی( کاملا انلاین)
✅️ ترجمه با هوش مصنوعی (کاملا آنلاین)
🎯در ۳ روز به صورت حضوری همراه با پذیرایی میان وعده .
📩برای دریافت اطلاعات کلمه "کمپ " رو پی وی بفرست تا اطلاعات برات ارسال بشه❤️
📍ارتباط با …
♦️♦️ مدرسان زبان؛ هوش مصنوعی قرار نیست جای شما را بگیرد، بلکه میتواند تدریس شما را حرفهایتر، خلاقانهتر و اثربخشتر کند.
تا امروز چند بار برای طراحی درس، تولید محتوا، ساخت فعالیت کلاسی یا طراحی آزمون، زمان زیادی صرف کردهاید؟
در دومین مدرسه تابستانه تربیت مدرس زبانهای خارجی با ابزارهای هوش مصنوعی یاد میگیرید چگونه هوش مصنوعی را به دستیار حرفهای خود در طراحی و اجرای تدریس تبدیل کنید.
✅ طراحی درس حرفهای با اب…
✅ قابل توجه افرادی که تمایل دارند زبان روسی از پایه یاد بگیرند یک کلاس داریم که هفته آینده در دانشگاه خوارزمی شروع میشه. برای ثبت نام به ادرس زیر مراجعه نمایید:
https://ptc.khu.ac.ir/Course/Detail/297
آیدی مشاور دوره:
@LC_TPD_ADMIN
✅ قابل توجه افرادی که تمایل دارند زبان فرانسه از پایه یاد بگیرند یک کلاس داریم که هفته آینده در دانشگاه خوارزمی شروع میشه. برای ثبت نام به ادرس زیر مراجعه نمایید:
https://ptc.khu.ac.ir/Course/Detail/283
آیدی مشاور دوره:
@LC_TPD_ADMIN
✅ قابل توجه افرادی که تمایل دارند زبان آلمانی از پایه یاد بگیرند یک کلاس داریم که هفته آینده در دانشگاه خوارزمی شروع میشه. برای ثبت نام به ادرس زیر مراجعه نمایید:
https://ptc.khu.ac.ir/Course/Detail/280
آیدی مشاور دوره:
@LC_TPD_ADMIN
✅✅ قابل توجه افرادی که تمایل دارند زبان چینی از پایه یاد بگیرند یک کلاس داریم که هفته آینده در دانشگاه خوارزمی شروع میشه. برای ثبت نام به ادرس زیر مراجعه نمایید:
https://ptc.khu.ac.ir/Course/Detail/281
آیدی مشاور دوره:
LC_TPD_ADMIN
❤4
Showing the 12 most recent of 51 posts we hold for @BTSSBU. 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.
Posts edited after publishing
@BTSSBU edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
18 August 2026
Most recent edit
26 August 2026
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 45 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@BTSSBU named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@tmu_ttc named in 4 posts, 22 August 2026 – 27 August 2026
@tpd_tmu named in 3 posts, 8 August 2026 – 10 August 2026
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.
آهنگ ترکی [ turkmusik @tur_key · 33,766 Telegram ranks this channel #39 of 42 here — alongside 41 others — read 3 September 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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“مرکز زبانهای خارجه دانشگاه” (@BTSSBU), 9,216 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/BTSSBU.
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.