Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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.
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 word for word 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 (1 of the pairs behind the counts below)
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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 30 July 2026 to 6 August 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).
Across the whole group of 2, the earliest publisher we hold is @cultural_art_ut. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
7 measurements spanning 24 days, net -6. 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 7,542–7,558 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Aug 2026, 22:57
7,550
+4
27 Aug 2026, 08:37
7,546
+2
16 Aug 2026, 21:03
7,544
-9
13 Aug 2026, 04:34
7,553
+2
9 Aug 2026, 17:43
7,551
-5
6 Aug 2026, 03:06
7,556
no change
5 Aug 2026, 23:33
7,556
first reading
Engagement
64 posts held, back to 30 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.42%
avg views ÷ 7,550 subscribers
Avg views / post
560
52 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
53
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 August 2026
Posts held
64 (30 July 2026 – 26 August 2026)
Views total
29,120
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 22:00 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
35m 08s
Average length
1m 57s
Measured directly from 18 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.
پیام تبریک مدیرکل اداره فرهنگی و اجتماعی دانشگاه تهران به مناسبت روز کارمند
روز کارمند، فرصتی است برای قدردانی از انسانهایی که بخش مهمی از پیشرفت و پویایی هر مجموعه، حاصل تلاشهای روزانه، مسئولیتپذیری و همراهی آنان است.
در دانشگاه، کارمند تنها انجامدهنده یک وظیفه اداری نیست؛ بلکه بخشی از جریان خدمت به دانشجو، استاد و دانشگاه است و کیفیت این خدمت، در شکلگیری محیطی پویا، منظم و اثرگذار نقش دارد.
اینجانب فرارسیدن…
📌 [شبکه جامعه، فرهنگ و هنر |خوابگاههای دانشگاه تهران]
🔰اطلاعیه بازدید از پارک علم و فناوری دانشگاه تهران
فرصتی ویژه برای دانشجویان تحصیلات تکمیلی خوابگاهی
بهمنظور آشنایی با زیستبوم نوآوری و فناوری، بازدید از پارک علم و فناوری دانشگاه تهران و شرکتهای دانشبنیان مستقر در آن برگزار میشود.
در این بازدید با:
🔹 شرکتهای دانشبنیان مستقر در پارک
🔹 تجربههای همکاری و کارآفرینی
🔹 فعالیتهای علمی و فناورانه شرکتها
🔹 …
🎭 فعالیت کانونهای فرهنگی، هنری و اجتماعی در خوابگاههای دانشگاه تهران
اداره کل خوابگاههای دانشگاه تهران با هدف توسعه مهارتهای فردی و اجتماعی دانشجویان و حمایت از خلاقیتها و فعالیتهای خودجوش فرهنگی، هنری و اجتماعی، کانونهای دانشجویی را در مجتمعهای خوابگاهی فعال کرده است.
🔹 دانشجویان ساکن خوابگاه میتوانند متناسب با علاقهمندی خود، حداکثر در سه کانون عضو شوند و در فعالیتهای آنها مشارکت کنند.
📌 کانونهای فعا…
بدرقه تا میدان رقابت
🔹از امروز، پرچم دانشگاه تهران بر دوش جوانانی است که با انگیزه، تلاش و افتخار راهی میدان رقابت میشوند.
کاروان پسران دانشگاه تهران عازم المپیاد ورزشی دانشجویان کشور شد؛ به امید روزهایی سرشار از رقابت جوانمردانه، درخشش و افتخارآفرینی.
💪 برای دختران و پسران قهرمان دانشگاه تهران آرزوی موفقیت داریم؛به امید درخشش، افتخارآفرینی و تکرار قهرمانی در المپیاد ورزشی دانشجویان کشور. 🏆❤️
✅ عضويت در تشكلهاي…
🏆 مسابقات شطرنج
📅 زمان:جمعه ۶ شهریور ماه
💰 همراه با جوایز ارزنده به نفرات برتر.
👥 شرکت برای عموم آزاد است.
♟ اگر اهل فکر کردن، برنامهریزی و رقابت هستی، این مسابقه رو از دست نده!
🎮 کانون بازیهای رایانهای دانشکدگان فنی
📲 برای اطلاعات بیشتر و ثبتنام به کانال تلگرام مراجعه کنید:
🆔 @UniGameSupport
✅ عضويت در تشكلهاي دانشجويي با مراجعه به سامانه جامع فرهنگي و دانشجویی دانشگاه تهران
https://cultural.ut.ac.ir/
🔰ب…
✅ انجمن علمی دانشجویی گروه مهندسی علوم دامی دانشگاه تهران برگزار میکند:
«کمپ تابستانه مهارت🔅»
💠 کارگاه آموزشی:
«کارگاه عملی طراحی وبسایت بدون یک خط دانش برنامهنویسی»
آموزش کار با وردپرس + کمی تقلب از هوش مصنوعی!
🎙 مدرس:
مهندس رضا دلباز
🎓 همراه با اعطای گواهینامه معتبر از دانشگاه تهران
💰 هزینه ثبتنام:
۹۰۰ هزار تومان
(همراه با ۲۰٪ تخفیف ویژه برای دارندگان کارت عضویت اتحادیه)
📆 زمان برگزاری:
جمعه ۱۳ شهریور | س…
🎭 فراخوان دریافت اثار هشتمین جشنواره نمایشنامهخوانی مرکز تئاتر مولوی منتشر شد
هشتمین دورهی جشنواره نمایشنامهخوانی مرکز تئاتر مولوی با هدف حمایت از تجربههای تازه در حوزهی نمایشنامهخوانی و فراهمکردن زمینهی حضور و فعالیت هنرمندان جوان برگزار میشود.
از گروههای متقاضی دعوت میشود با مطالعهی فراخوان و تکمیل فرم، اثر خود را در بازهی تعیینشده ارسال کنند.
📅 مهلت ارسال آثار: ۱ تا ۷ شهریور ۱۴۰۵
🎭 تاریخ برگزاری …
✍🏼امید به آینده، در میانهی جنگ | روایت پارسا چهلمردیان
🔸در مجموعه «روایتهای دانشجویی جنگ»، پای صحبت دانشجویانی مینشینیم که جنگ را نه از قاب خبرها، بلکه در زندگی روزمره، تصمیمها، نگرانیها و نگاهشان به آینده تجربه کردهاند.
🔸این بار، پارسا چهلمردیان، دانشجوی دانشگاه تهران، پژوهشگر و فعال حوزه استارتاپ، از تجربهی خودش در روزهای جنگ میگوید.
🔸روایتی از روزهایی که جنگ، برنامهها و مسیر عادی زندگی را تحتتأثیر قرار…
انجمن علمیدانشجویی مهندسی ماشینهای صنایع غذایی، مکانیک بیوسیستم و مکانیزاسیون دانشگاه تهران برگزار میکند:
💠 برگزاری دورهی پیشرفته سالیدورکس
📆جمعه 27 شهریور 1405
🖇«جمعهها از ساعت ۱۰ الی ۱۲
در ۶ جلسه ۲ ساعته برگزار میگردد»
👩🏻💻مدرس: مهندس دنیا فرجزاده
طراح و سازنده صنایع آموزشی، فنی و مهندسی شرکت مهندسی پویش صنعت
توضیحات مختصری از مباحث تدریسی:
🖇موضوعات تدریسی:
آشنایی با محیط Sheet Metal
آموزش قسمتی از SOL…
📌[شبکه جامعه، فرهنگ و هنر | «قرار هفتگی با فرهنگ»]
📚روایت و کنش جمعی
چرا فراخوانهای اجتماعی و سیاسی به داستان نیاز دارند؟
چرا بعضی پیامها فقط شنیده میشوند، اما بعضی روایتها میتوانند آدمها را با خود همراه کنند و به کنشی مشترک برسانند؟
فردریک دبلیو میر در این کتاب سراغ پیوند میان روایت، داستان و کنش جمعی میرود و نشان میدهد قصهها چگونه میتوانند به شکلگیری احساس مشترک، معنا دادن به یک هدف و همراه کردن افرا…
📊 کارگاه یکروزه آموزش نرمافزار SPSS
از صفر تا تحلیل حرفهای دادهها 👨💻📈
اگر میخواهید کار با SPSS را بهصورت کاربردی یاد بگیرید و با ورود دادهها، آزمونهای آماری، تحلیل نتایج و نحوه گزارشگیری آشنا شوید، این کارگاه میتواند شروع خوبی برای شما باشد.
🔻مدرس: دکتر مریم خاکباز
عضو هیئت علمی گروه علوم و مهندسی صنایع غذایی دانشگاه تبریز
📅 زمان: دوشنبه ۲ شهریور ۱۴۰۵
⏰ ساعت: ۹ تا ۱۲
📍محل برگزاری : بصورت آنلاین و در بس…
📌 [شبکه جامعه، فرهنگ و هنر |«بسته خبری هفته»]
🎙️ بسته خبری هفته
مهمترین رویدادها و اخبار هفته را در چند دقیقه بشنوید؛ روایتی کوتاه، دقیق و جامع از مهمترین اتفاقات، برنامهها و فعالیتهای فرهنگی و دانشجویی دانشگاه تهران در هفتهای که گذشت.
✅ عضويت در تشكلهاي دانشجويي با مراجعه به سامانه جامع فرهنگي و دانشجویی دانشگاه تهران
https://cultural.ut.ac.ir/
🔰شبکه جامعه، فرهنگ و هنر دانشگاه تهران
✅ @cultural_art_ut
Showing the 12 most recent of 64 posts we hold for @utstudentsunion. 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
@utstudentsunion 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
22 August 2026
Most recent edit
22 August 2026
Citation-graph rank
Citation-graph rank — 83,036 of 1,629,362 entries 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
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 21 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.
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.
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.
Ut.ac @ut_ac · 38,955 Telegram ranks this channel #26 of 90 here — alongside 89 others — read 31 August 2026
کویستان @Kooyestan · 42,682 Telegram ranks this channel #31 of 92 here — alongside 91 others — read 29 August 2026
دانشگاه تهران @UT_NEWSLINE · 55,607 Telegram ranks this channel #37 of 93 here — alongside 92 others — read 23 August 2026
کانال کارشناسی ارشد هیوا @masterexam · 58,559 Telegram ranks this channel #51 of 93 here — alongside 92 others — read 23 August 2026
پی دی اف کتاب های دانشگاهی @ub_pdf_katab_ac · 58,989 Telegram ranks this channel #64 of 83 here — alongside 82 others — read 22 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 29 August 2026 — this
entry's latest reading, not the date you are reading this.
“باشگاه دانشجویان دانشگاه تهران” (@utstudentsunion), 7,550 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/utstudentsunion.
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.