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 12 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 64 comparable posts for this entry, running 29 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
28 measurements spanning 96 days, net +909. 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 7,625–8,806 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
10 Nov 2026, 03:17
8,670
+5
7 Nov 2026, 00:36
8,665
+9
4 Nov 2026, 01:09
8,656
+14
1 Nov 2026, 03:50
8,642
+27
29 Oct 2026, 12:57
8,615
+15
26 Oct 2026, 18:18
8,600
+28
23 Oct 2026, 20:34
8,572
+21
20 Oct 2026, 10:11
8,551
+17
17 Oct 2026, 17:18
8,534
+10
14 Oct 2026, 21:19
8,524
+30
11 Oct 2026, 11:19
8,494
+91
4 Oct 2026, 21:36
8,403
+106
25 Sept 2026, 06:56
8,297
+240
16 Sept 2026, 17:19
8,057
+22
12 Sept 2026, 23:57
8,035
+32
8 Sept 2026, 19:18
8,003
+7
3 Sept 2026, 12:00
7,996
+15
30 Aug 2026, 20:05
7,981
+21
27 Aug 2026, 09:38
7,960
+7
24 Aug 2026, 15:42
7,953
first reading
Engagement
64 posts held, back to 29 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 35 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
34.8%
avg views ÷ 8,670 subscribers
Avg views / post
3,010
26 posts measured
Reaction rate
0.278%
reactions ÷ views · ER floor
Posts in window
26
of 64 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 19 of 26 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 10 November 2026
Posts held
64 (29 July 2026 – 10 November 2026)
Views total
78,351
Reactions total
163
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 00:15 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
Photos
≈1,240
Videos
≈33
Links
≈898
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 32s
Average length
1m 11s
Measured directly from 3 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
310 reactions across 49 posts, in 12 distinct kinds. The most used accounts for 61.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
191
61.6%
👍
39
12.6%
👏
32
10.3%
❤🔥
26
8.39%
🔥
13
4.19%
👨💻
2
0.645%
💯
2
0.645%
⚡
1
0.323%
✍
1
0.323%
🎉
1
0.323%
🙏
1
0.323%
🤝
1
0.323%
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 52 of the 64 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 310 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 29 July 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 11 of 26 posts held from the last 30 days (42.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
📣 فراخوان جذب کادر اجرایی کنگره
🔬 یازدهمین کنگره ملی و چهارمین کنگره بینالمللی اپیدمیولوژی
و
🧬 پنجمین کنگره شبکه تحقیقات و فناوری کوهورت ایران
با شعار:
🌱 سلامت، جامعه، دانش اپیدمیولوژی، تصمیمسازی هوشمند
🌍 کوهورت، شواهد ملی برای آینده سلامت ایران
در بهمنماه ۱۴۰۵ برگزار خواهد شد.
✨ اگر به فعالیت در محیطهای علمی، تجربه برگزاری یک کنگره تخصصی، ارتباط با پژوهشگران و تقویت مهارتهای اجرایی علاقهمند هستید، به تیم اج…
در سالهای اخیر، یکی از موضوعات تأملبرانگیز در فضای فعالیتهای علمی و دانشجویی، پررنگتر شدن نگرشی است که در آن، ارزش تجربهها با عمق یادگیری و کیفیت مشارکت یا توانمندی حاصل از آنها سنجیده نمیشود، در عوض با قابلیت ثبتشان در رزومه ارزیابی میشود.
در این فضا، حضور در رویدادها، عضویت در مجموعههای دانشجویی، پذیرش مسئولیت یا مشارکت در پروژههای مختلف به جای آنکه فرصتی برای رشد فردی و حرفهای تلقی شود، به وسیلهای …
⚡ رویداد فناورانه NOVA
اگر از اینکه ایدههایتان روی کاغذ بمانند خسته شدهاید، رویداد «NOVA» همان سکوی پرتابی است که منتظرش بودید!
ما از صفر تا صد مسیر را با شما هستیم؛ از آموزش اصولی گرفته تا داوری نهایی، دریافت کمکهزینه و تسهیلات ویژه! 🔥
📆 برنامه ۱۲ گام:
🌌گام اول: مقدمات ورود به دنیای فناوری
🌌گام دوم: ایدهپردازی و روشهای تفکر خلاق
🌌گام سوم: اصول کار تیمی و شبکهسازی
🌌گام چهارم: آشنایی با پایگاههای اطلاعاتی
🌌گ…
🏛 دبیرخانه مرکزی اولین کنگره حلال و سلامت محور و کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی یاسوج با همکاری کمیته تحقیقات و فناوری دانشجویی وزارت بهداشت، درمان و آموزش پزشکی برگزار میکنند:
🔰 اولین سمپوزیم ملی و استارت آپ محصولات حلال و سلامت محور
✨ در راستای اولین کنگره بینالمللی حلال و محصولات سلامت محور
📌 محورهای استارتآپ:
💠مواد غذایی سالم و تغذیه
💠غذای ایمن و حلال
💠 فناوری و نوآوری غذایی
💠 امنیت غذای…
📢 تمدید مهلت ارسال ایده استارتاپ ویکند غذا و تغذیه تبریز ۱۴۰۵
به اطلاع تمامی دانشجویان، پژوهشگران و ایدهپردازان گرامی میرساند؛
با توجه به درخواستهای مکرر شما عزیزان و استقبال گسترده از رویداد «استارتاپ ویکند غذا و تغذیه تبریز ۱۴۰۵» (Tabriz Himed Food & Nutrition 2026)، مهلت ارسال ایده تا تاریخ ۲۰ آبان ماه ۱۴۰۵ تمدید شد.
علاقهمندان میتوانند ایدههای خود را در رویداد سه روزه از «مسئله تا محصول» ثبت نمایند.
🗓 آخ…
📣 کمیته تحقیقات و فناوری دانشجویی و انجمن علمی دانشجویی علوم تغذیه دانشگاه علوم پزشکی گلستان برگزار میکنند
🏢 مدرسه پاییزه | آموزش پروپوزال نویسی
📌 فرصت استثنایی برای دانشجویان علاقه مند به مسیر پژوهش
📌 آموزش صفر تا صد مسیر پروپوزال نویسی
📌 آموزش اصول اولیه و پایه نگارش مقاله Original Article
🗓 مهلت ثبت نام: تا سه شنبه ۱۹ آبان ۱۴۰۵
🔗 لینک ثبت نام
💬 پیگیری و پاسخگویی:
@Amirh0ssein_R
@arvinheidari
✅ ارتباط با ما…
🔰 مرکز پژوهشهای علمی و فناوری دانشجویان دانشکده بهداشت دانشگاه علوم پزشکی تهران و کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی ایران برگزار میکنند:
💠 مدرسه تخصصی راینو
اموزش جامع نرم افزار Rhinoceros 8
➕ طراحی و مدلسازی سهبعدی محصولات در علوم پزشکی و مهندسی
✅ پروژه محور
همراه با منتورینگ و ارائه پروژه پایانی
🎯 مخاطبین
دانشجویان و پژوهشگران
🔹 مهندسی پزشکی، بهداشت و ارگونومی
🔹 طراحی صنعتی و طراحی محصول
…
📣 خبرهایی در راه است!!...
✨ بهزودی، اولین کنگره مجازی قلب و عروق کشور ❤️
با همکاری کمیته های تحقیقات و فناوری دانشجویی دانشگاههای علوم پزشکی شهید بهشتی، دزفول، قزوین و قم برگزار خواهد شد.
🗓 بهمنماه ۱۴۰۵
🖥 کاملاً مجازی؛ از هر کجا که هستید، همراه ما باشید!
🔔 این تازه شروع ماجراست...
🔥 جزئیات و اخبار کنگره بهزودی از طریق کانال رسمی اعلام میشود.
🔗 راههای ارتباطی:
👍📱📱 @Virtual_CVD_SRC
⁉️ پشتیبانی: @CVD_congres…
🌟کمیته تحقیقات و فناوری دانشجویی و پارک علم و فناوری دانشگاه تربیت مدرس به همراه شتابدهندهی سیناپس شتابدهنده تخصصی کیت های تشخیصی و کمیته تحقیقات و فناوری کشوری وزارت بهداشت، درمان و آموزش پزشکی برگزار می کند:🌟
🔥🧪🩸نخستین بوتکمپ کشوری دو روزه از ایده تا تجاری سازی کیت های تشخیصی🔥🧪🩸
📝 📈 از آموزش طراحی کیت، نیاز سنجی بازار و ارزیابی و شتابدهی ایده تا اعتبارسنجی و تجاری سازی ایده ها با حضور داوران، متخصصین و منتورهای …
✍️تأملی انتقادی بر فرهنگ رویدادمحوری و ضرورت بازاندیشی در نظام فعالیتهای علمی و دانشجویی علوم پزشکی کشور
در وضعیتی که با محدودیت منابع، مسائل حلنشده فراوان و انتظارات روزافزون جامعه مواجه هستیم، احتمالا یکی از ضروریترین سوالات این است که آیا آنچه انجام میدهیم، الزاما همان چیزی است که باید انجام بدهیم؟
این سوال، بهظاهر ساده، میتواند نقطه شروع بازاندیشی در بخش قابلتوجهی از سازوکارهای مدیریتی، آموزشی، پژو…
📢کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی شیراز با همکاری کمیتههای تحقیقات و فناوری دانشگاههای علوم پزشکی قطب ۵
🔎مدرسه تئوری پژوهشی
جزئیات مدرسه
📅تاریخ برگزاری: ۱۶ آبان ماه الی ۱ آذرماه ۱۴۰۵
⏳️ساعت برگزاری: ۱۶:۰۰ الی ۱۸:۰۰
📍پلتفرم برگزاری: اسکایروم
✉️همراه با صدور گواهی از سوی کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی شیراز
▶️جلسات ضبط میشوند
💳هزینه ثبت نام: ۲۵۰ هزارتومان
📁ثبت نام:
http…
🔰کمیته تحقیقات و فناوری دانشجویی دانشگاههای علوم پزشکی، دانشکده پیراپزشکی، دانشکده پرستاری گرمی، یاسوج، پیراپزشکی جهرم، تربت حیدریه و آکادمی مدسا برگزار میکنند
🎓 بوتکمپ نگارش مقاله | مسیر جامع آموزش، نگارش انتشار و داوری مقالات علمی
🧩 سرفصل بوتکمپ:
▫️آشنایی با انواع مقالات علمی: ویژگیها و ساختارها
▫️آشنایی با مقالات مرور نظاممند (چگونگی تدوین راهبرد جستوجو)
▫️آشنایی با مقالات مرور نظاممند (آشنایی با پروتکل…
👍1
Showing the 12 most recent of 64 posts we hold for @stud_res. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 123 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 178 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
1
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@stud_res 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@studentresearchcommitteeesfrums named in 2 posts, 8 August 2026 – 9 August 2026 · confirmed gone 6 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@techzone_arcims27 named in 8 posts, 8 August 2026 – 23 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.
موسسه بین المللی علوم نوبنیاد @iins_ir · 36,154 Telegram ranks this channel #3 of 94 here — alongside 93 others — read 8 September 2026
مرکز المپیادهای علمی علوم پزشکی @Olympiad_Med · 20,627 Telegram ranks this channel #23 of 97 here — alongside 96 others — read 26 September 2026
استخدامی علوم پزشکی @olumpezeshkii1400 · 32,121 Telegram ranks this channel #36 of 93 here — alongside 92 others — read 5 September 2026
شبکه نخبگان ایران @IranElitesNet · 28,397 Telegram ranks this channel #58 of 100 here — alongside 99 others — read 10 September 2026
فایل پرستاری | Parastari98B @Parastari98B · 41,023 Telegram ranks this channel #89 of 94 here — alongside 93 others — read 31 August 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Students' Research” (@stud_res), 8,670 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/stud_res.
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.