Other / unclassifiable — 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 43% 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 13 comparable posts for this entry, running 31 December 2025 to 24 July 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 @KanoonHa_AUT — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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.
12 measurements spanning 29 days, net +3. 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 1,729–1,745 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Sept 2026, 13:17
1,740
+1
1 Sept 2026, 02:46
1,739
-1
28 Aug 2026, 16:36
1,740
-2
25 Aug 2026, 21:47
1,742
-1
23 Aug 2026, 04:05
1,743
+9
19 Aug 2026, 05:54
1,734
+3
15 Aug 2026, 20:08
1,731
-2
12 Aug 2026, 09:38
1,733
-1
9 Aug 2026, 17:41
1,734
-1
7 Aug 2026, 02:11
1,735
-2
6 Aug 2026, 07:04
1,737
no change
6 Aug 2026, 02:23
1,737
first reading
Engagement
17 posts held, back to 31 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages 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 17 posts for this entry, the most recent from 24 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 32s
Average length
46s
Measured directly from 2 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
165 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 67.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
112
67.9%
👍
18
10.9%
😢
13
7.88%
🔥
8
4.85%
😎
5
3.03%
🤔
4
2.42%
👏
3
1.82%
🥰
2
1.21%
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 16 of the 17 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 165 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 31 December 2025 to 24 July 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.
▪️ اکبر عبدی بازیگر شناخته شده تئاتر، سینما و تلویزیون که چندی پیش به دلیلی سکته قلبی در بیمارستان بستری بود؛ در ۶۶ سالگی درگذشت.
▪️ در کارنامه هنری اکبر عبدی در حوزه نمایش آثاری چون «پنجره فولاد» به نویسندگی مهدی متوسلی و کارگردانی سیدجواد هاشمی در سالن اصلی مجموعه تئاتر شهر، «اکبرآقا آکتور تئاتر» به نویسندگی سیدعظیم موسوی و با بازی و کارگردانی اکبر عبدی در تماشاخانه سنگلج، «بنگاه تئاترال» به کارگردانی محمود استادم…
پادکست ژرفا🌊 | قسمت دوم:
هیولای درون انسان
آزمایشی برای به چالش کشیدن مرز های وجدان انسان.
سرپرست محتوا: ارغوان قضات
سرپرست گویندگی: تینا راسخ
سرپرست تدوین: نیکا طبیبی
گویندگان به ترتیب: ارغوان قضات، درسا فتاحی، تینا راسخ ، علیرضا فعلی
این قسمت با ساعت ها تلاش و عشق و علاقه ما ساخته شده. خیلی خوشحال میشیم که با قلب و نظراتتون ما رو برای ادامه این مسیر حمایت کنین♥️
لازم به ذکره که ما برای نوشتن محتوا یا صداگذاری…
در بسیاری از دانشگاههای معتبر دنیا، «صنایع خلاق» پلی میان هنر، فناوری، نوآوری و کارآفرینی است. هدف آن فقط برگزاری برنامههای فرهنگی نیست؛ بلکه تبدیل خلاقیت به مهارت، پروژه، فرصت شغلی و حتی درآمد است.
کانون صنایع خلاق قرار نیست جایگزین کانونهای دیگر باشد؛ بلکه میتواند آنها را به هم متصل کند تا فعالیتهای فرهنگی و هنری، علاوه بر اثرگذاری فرهنگی، به پروژههای حرفهای، نمونهکار و مسیرهای درآمدزایی برای دانشجوها تبد…
فکر میکنید بزرگترین ضعف کانونهای فرهنگی دانشگاه چیه؟
🔹 برنامهمحور بودن؟
🔹 نداشتن خروجی واقعی؟
🔹 بیارتباط بودن با بازار کار؟
🔹 یا چیز های دیگه؟
چند ساعت دیگه میخوایم درباره یک ایده جدید صحبت کنیم و قبلش دوست داریم نظر شما رو بدونیم.
تئاتر و هوش مصنوعی
مقاله پیشرو، نوشتهی «لوسیندا اورت» است که در شماره ۲۰۸ خبرنامه «The Guide» نشریه گاردین منتشر شده و اکنون با هدف بررسی چالشها و فرصتهای پیش روی هنرهای نمایشی در مواجهه با فناوریهای نوین،تنظیم شده است. در دنیایی که هوش مصنوعی بهسرعت در بسیاری از حوزهها پای میگیرد و حتی هنر را هم به چالش میکشد، تئاتر زنده با تکیه بر ارتباط انسانی و تجربه مشترک، همچنان جایگاه ویژهای دارد؛ چرا که بیش از هر ز…
کرم شب تاب گفت: رفیق خرگوش، من همیشه میکوشم مجلس تاریک دیگران را روشن کنم، جنگل را روشن کنم، اگرچه بعضی از جانوران مسخرهام میکنند و میگویند "با یک گل بهار نمیشود، تو بیهوده میکوشی با نور ناچیزت جنگل تاریک را روشن کنی." خرگوش گفت: این حرف مال قدیمیهاست. ما هم میگوییم "هر نوری هر چقدر هم ناچیز باشد، بالاخره روشنایی است."
#روزنگار، ۲ تیر، زادروز
#صمد_بهرنگی
🖤🥀
#بهروز_رضوی (خرداد 1405-1326)
شادروان استاد بهروز رضوی، گوینده پیشکسوت، مجری برنامۀ کتاب شب با محوریت معرفی کتاب و بازخوانی آثار مشهور ایران و جهان بود که بیش از سه دهه از رادیو پخش شد و بیش از ۱۲۰۰ کتاب را در این برنامه به شنوندگان معرفی کرد.
🏴 کانون های فرهنگی هنری دانشگاه صنعتی امیرکبیر درگذشت این هنرمند پیشکسوت و گوینده باسابقه رادیو را به خانواده و علاقهمندانش تسلیت عرض میکند. 🏴
روحشان قرین رحمت و آرا…
جز غم، هر آنچه را که به من وام دادهای
بستان و بیشتر کن و بر دیگران ببخش
نام تو بر نگین دلم نقش بسته است
این خاتم وجود من ارزانی تو باد
دانم اگرچه پیشکشی سخت بیبهاست
شعرم به پاس لطف تو، قربانی تو باد
#روزنگار، 16 خرداد،زادروز
#نادر_نادرپور
بعد از مدت ها
نامه ایی از نامه هایی به اولگا اثر واتسلاف هاول نویسنده و سیاستمدار اهل جمهوری چک،
برای ارتباط دوبارهمان در این پلتفرم.
(1)
اولگای عزیزم
وقتی از ایمان و امید میگویم، به خوشبینی، به مفهوم قراردادی آن، فکر نمیکنم که معمولاً منظورمان از آن این اعتقاد است که «همهچیز به خیر و خوشی تمام خواهد شد». اصلاً در این اعتقاد شریک نیستم و از نظر من _هنگامیکه خیلی کلی و عمومی بیان میشود_ فریب خطرناکی است. نم…
❤7
Signed عادل
Showing the 12 most recent of 17 posts we hold for @KanoonHa_AUT. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
اگر «کانون صنایع خلاق» در امیرکبیر راهاندازی شود، نظر شما چیست؟
🔥 حتماً عضو میشوم6%
👍 ایده خوبیه، حمایت میکنم20%
🤔 بستگی به برنامههاش داره37%
👎 نیازی بهش نمیبینم37%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 31 December 2025 to 24 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 3 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.
عکسهای ناب قدیمی @antique_pic · 33,192 Telegram ranks this channel #28 of 79 here — alongside 78 others — read 4 September 2026
امیرکبیریها @amirkabiriha · 35,269 Telegram ranks this channel #45 of 93 here — alongside 92 others — read 2 September 2026
This channel appears in 2 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 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“کانونهای فرهنگی پلیتکنیک” (@KanoonHa_AUT), 1,740 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/KanoonHa_AUT.
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.
