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 24 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
7 measurements spanning 40 days, net -7. 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 203–212 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 05:01
204
-1
9 Sept 2026, 07:00
205
-1
30 Aug 2026, 18:28
206
-1
23 Aug 2026, 07:15
207
-3
14 Aug 2026, 20:15
210
-1
7 Aug 2026, 17:08
211
no change
7 Aug 2026, 04:48
211
first reading
Engagement
20 posts held, back to 28 January 2023 — 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 page of 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 20 posts for this entry, the most recent from 2 January 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
20 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 90.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
18
90.0%
👎
2
10.0%
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 14 of the 20 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 20 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 28 January 2023 to 2 January 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
☄️ بایومدیکال مستر با افتخار تقدیم می کند
🔥 تور وبینارهای دنیای مهندسی پزشکی
📆 از ۱۸ دی ماه با حضور برترین اساتید و دانشجویان مهندسی پزشکی
➕ فایل محتوای وبینارها برای دانشجویان ثبت نامی ، ارسال خواهد شد.
✨ همراه با تخفیف ویژه جهت ثبت نام بیش از ۳ وبینار
🧩 جهت ثبت نام و کسب اطلاعات بیشتر به ایدی تلگرام زیر پیام دهید :
@biomedicalmaster_admin
🔴بایومدیکال مستر این سلسله وبینار را با همکاری انجمن ها و گروه های ذی…
🔸🔵 اعلام برنامه وبینار آموزشی 🔵🔸
کمیته آموزش نمایشگاه بینالمللی ایران مد با همکاری انجمن ها و موسسات علمی برگزار میکند:
📌 عنوان وبینار: کاربرد ماشین لرنینگ، اینترنت اشیاء و دو قلوی دیجیتال در مهندسی پزشکی
🗓 تاریخ و زمان برگزاری:
چهارشنبه ۲۹ شهریور ماه ۱۴۰۲ ساعت ۱۸
🎙 سخنران وبینار:
💠 جناب آقای دکتر احسان ظفری
بنیان گذار و مدیرعامل بنیان نوآوری هوش مصنوعی
استاد دانشگاه علوم و تحقیقات تهران
🔵 آنلاین: پلتفرم اسکای…
🔸🔶صداهای ماندگار🔶🔸
🔻مرگ مغزی چیست؟
🌱تو آغاز دوباره من باش...
سالانه ٥ تا ٨ هزار نفر دچار مرگ مغزی می شوند كه نیمی از آنها قابليت اهدا و بخشش عضو را دارند.
از طرف ديگر حدود ٢٥ هزار نفر در ليست انتظار هستند كه تنها راه نجاتشان دريافت عضو است... از ليست انتظار روزانه ٧ تا ١٠ نفر جان خود را از دست مي دهند، افرادی كه می توانستند زندگی كنند... و در اين ميان مشكل اصلی نشناختن مرگ مغزی به عنوان مرگ قطعی و از بين رفتن اعضا…
📣انجمن علمی مهندسی برق دانشگاه علم و صنعت ایران با همکاری انجمن علمی مهندسی برق دانشگاه جیرفت برگزار می کنند:
🌷دوره آموزشی کامل اکسل(Excel)
👨🏻💻مدرس دوره:
جناب آقای سید محمدحسین بهادر
↩️همراه با ارائه گواهی معتبر از دانشگاه علم و صنعت ایران
✅جزئیات بیشتر در پوستر بالا👆🏻
🔵ثبت نام و کسب اطلاعات بیشتر:
09137967265
آیدی تلگرام:
@dalfardi98
📣انجمن علمی مهندسی برق دانشگاه علم و صنعت ایران و انجمن علمی مهندسی برق دانشگاه جیرفت برگزار میکنند:
✅دوره آموزش word به همراه اعطای گواهی معتبر و قابل استعلام از طرف دانشگاه علم و صنعت ایران
🔸مدرس دوره:
سید محمدحسین بهادر
💡هزینه دوره:
۱۰۰هزارتومان
🔷تعداد جلسات: ۴ جلسه ۲ ساعته + ( چندین جلسه رفع اشکال)
🌱این دوره اموزش word از پایه و صفر بوده و تمام مطالب ابتدایی نیز گفته خواهد شد.
🌷ثبت نام و کسب اطلاعات بیشتر:
…
🟢 اعلام برنامه وبینار نوروزی 🟢
انجمن علمی دانشجویی مهندسی پزشکی دانشگاه علوم و تحقیقات تهران با همکاری انجمن مدیریت کسب و کار ایران و باشگاه پژوهشگران جوان و نخبگان برگزار می کنند:
📌 وبینار شناسایی ریسک های محیط آزمایشگاه و نحوه برخورد با آنها
🗓 تاریخ و زمان برگزاری:
چهارشنبه ۹ فروردین ماه ۱۴۰۲ ساعت ۱۲ ظهر
🎙 سخنران وبینار:
💠 جناب آقای دکتر امید اشکانی
🔖 رایگان
🔵 آنلاین: پلتفرم اسکای روم
⚪️ ثبت نام وبینار:
🌐 ht…
Showing the 12 most recent of 20 posts we hold for @BME_LIAU. 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
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.
Handles this channel named that no longer answer
Dead references
3
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
3
vacant every time we have ever looked
@BME_LIAU named 3 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.
@bme_srb named in 5 posts, 8 August 2026 – 8 August 2026
@dalfardi98 named in 2 posts, 8 August 2026 – 8 August 2026
@shahed_biomedicalengineering named in 1 post, 8 August 2026 – 8 August 2026
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی مهندسی پزشکی دانشگاه آزاد اسلامی واحد لاهیجان” (@BME_LIAU), 204 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/BME_LIAU.
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.