Education — 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 93% 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 (4 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 3 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 14 comparable posts for this entry, running 8 October 2025 to 31 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 @icils_org — 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 8 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.
5 measurements spanning 24 days, net -4. 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 802–809 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
31 Aug 2026, 14:47
804
+1
25 Aug 2026, 01:46
803
-1
16 Aug 2026, 17:25
804
-4
8 Aug 2026, 23:01
808
no change
8 Aug 2026, 01:49
808
first reading
Engagement
17 posts held, back to 7 October 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 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 17 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 18s
Average length
1m 09s
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.
🌍 یکی از دغدغههای اصلی مدیران امروز اینه که دنیا با سرعت زیادی در حال تغییره، اما زمان کافی برای دنبال کردن همه تحلیلها و منابع وجود نداره.
🎯 هدف McKinsey Review اینه که این فاصله رو کم کنه، یعنی مهمترین ایدهها و تحلیلهای مدیریتی دنیا رو در زمانی کوتاه، به شکلی کاربردی در اختیار مدیران قرار بده.
👈 در واقع این برنامه هم یک جلسه آموزشی هست، هم یک مسیر برای بهروز ماندن، بهتر تصمیم گرفتن و توسعه نگاه مدیریتیه. 👉
…
*مکنزی (McKinsey ) چیست؟*
مکنزی یکی از معتبرترین و شناختهشدهترین شرکتهای مشاوره مدیریت در جهان است که نزدیک به ۱۰۰ سال سابقه فعالیت دارد. این مجموعه به مدیران عامل، هیئتمدیره، دولتها و بزرگترین شرکتهای دنیا کمک میکند تا تصمیمهای بهتر بگیرند، مشکلات پیچیده را حل کنند و سازمانهای خود را متحول کنند.
به زبان ساده، اگر یک شرکت بزرگ یا حتی یک دولت با یک چالش مهم روبهرو باشد، معمولاً از مشاوران مکنزی کمک میگیر…
سلام و وقت بخیر 🌱
از اینکه به برنامه McKinsey Review علاقهمند شدید، خوشحالیم.
تقریباً هر هفته، مکنزی بهعنوان معتبرترین شرکت مشاوره مدیریت جهان، گزارشهایی منتشر میکند که قبل از همه، روی میز مدیران عامل بزرگترین شرکتهای دنیا قرار میگیرد؛ گزارشهایی درباره آینده کسبوکار، هوش مصنوعی، استراتژی، رهبری، اقتصاد و تحول سازمانها.
اما واقعیت این است که اکثر این گزارشها:
✅ طولانی هستند،
✅ تخصصی نوشته شدهاند،
✅ و …
Think2Link | McKinsey Review
از گزارش تا تصمیم؛ تحلیل عمیق آنچه McKinsey این هفته منتشر کرده است.
هر هفته دهها گزارش، مقاله و پژوهش مدیریتی توسط McKinsey منتشر میشود؛ اما مدیران ارشد معمولاً فرصت مطالعه همه آنها را ندارند.
در McKinsey Review، مهمترین بینشهای هفته را انتخاب میکنیم، آنها را تحلیل میکنیم و به زبان تصمیمگیری مدیران ترجمه میکنیم؛ تا بدانید کدام روندها، فناوریها و تحولات میتوانند آینده کسبو…
📍 راهنمای ورود
جهت ورود، لطفاً شنبه از ساعت ۱۳:۴۵ بهصورت پیاده از درب دانشکده دندانپزشکی وارد شده و مطابق مسیر مشخصشده در نقشه، بهصورت مستقیم به سمت دانشکده مدیریت تشریف بیاورید. همچنین، برای ورود به دانشکده و سالن همایش الزهرا، خواهشمند است ترجیحاً از درب مشخصشده در لوکیشن زیر استفاده فرمایید.
📍 https://nshn.ir/rbv1d0WxO4sV
🔹 لینک شرکت در برنامه بهصورت مجازی نیز پیش از آغاز مراسم در کانال منتشر خواهد شد.
ب…
علاقهمندان به شرکت در سخنرانی دکتر یاوری (میزبان: دانشگاه شهید بهشتی)، لطفا توجه داشته باشید که ثبتنام در این برنامه الزامی است.
جهت رزرو صندلی و ثبتنام، از طریق لینک زیر اقدام بفرمایید:
https://survey.porsline.ir/s/yyw64kGV
با سپاس
🤖 آینده انسان در عصر هوش مصنوعی
انجمنهای علمی دانشجویی حقوق و مدیریت دانشگاه شهید بهشتی برگزار میکنند:
بشر در آستانه بزرگترین تحول تاریخی خود قرار دارد. هوش مصنوعی چه تغییری در آینده شغلی، حقوقی و زیستمحیطی ما ایجاد خواهد کرد؟ در این نشست ویژه، با حضور اساتید برجسته بینالمللی به بررسی این چالشها و فرصتها میپردازیم.
🎤 مدرسین دوره:
دکتر علیرضا یاوری (نائب رئیس کنفدراسیون اتاقهای بازرگانی و صنعت آسیا و اقیا…
🔹 افتخاری بینالمللی برای جامعه حقوقی ایران
مرکز مطالعات حقوق بینالملل لاهه
(ICILS)
با کمال مسرت، حضور شایسته جناب آقای دکتر علیرضا یاوری در جمع محدود متخصصان بینالمللی نویسنده مقررات و اسناد تخصصی داوری سریع ICC 2026 را صمیمانه تبریک عرض مینماید.
بر اساس گزارش منتشرشده، دکتر یاوری بهعنوان تنها حقوقدان ایرانی در میان ۵۰ متخصص منتخب از ۳۶ حوزه قضایی جهان، در فرایند تدوین مقررات داوری سریع و همچنین تهیه راهنمای ت…
🔹 افتخاری بینالمللی برای جامعه حقوقی ایران
مرکز مطالعات حقوق بینالملل لاهه
(ICILS)
با کمال مسرت، حضور شایسته جناب آقای دکتر علیرضا یاوری در جمع محدود متخصصان بینالمللی نویسنده مقررات و اسناد تخصصی داوری سریع ICC 2026 را صمیمانه تبریک عرض مینماید.
بر اساس گزارش منتشرشده، دکتر یاوری بهعنوان تنها حقوقدان ایرانی در میان ۵۰ متخصص منتخب از ۳۶ حوزه قضایی جهان، در فرایند تدوین مقررات داوری سریع و همچنین تهیه راهنمای ت…
🔵 انجمنهای علمی دانشجویی حقوق و مدیریت دانشگاه شهید بهشتی برگزار میکنند:
🔶 هوش مصنوعی و بازطراحی قواعد بازرگانی در چارچوب حقوق تجارت بینالملل
😀 حضوری
🎫 همراه با صدور گواهی شرکت در دوره
🗣 سخنرانان:
🟨دکتر علیرضا یاوری
🔹نائبرئیس کنفدراسیون اتاقهای بازرگانی و صنعت آسیا و اقیانوسیه (CACCI)
🔹دبیرکل دیوان داوری خاورمیانه
🔹صاحب کرسی اختصاصی در دیوان داوری بینالمللی ICC پاریس
🔹دانشآموخته دانشگاه جرج واشنگتن، سوربن پا…
سخنرانی دکتر علیرضا یاوری،
نایبرئیس کنفدراسیون اتاقهای بازرگانی و صنعت آسیا–اقیانوسیه (CACCI) در ژنو- سوئیس
بیانیهای قدرتمند دربارهٔ خیزش هوش مصنوعی عمومی، ابرهوش و پیامدهای سنگین آن بر آیندهٔ بشر، اقتصاد، مشاغل و امنیت جهانی.
Showing the 12 most recent of 17 posts we hold for @icils_org. 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
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
1
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
1
vacant every time we have ever looked
@icils_org named 1 handle 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.
@therealyavari 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 31 August 2026 — this
entry's latest reading, not the date you are reading this.
“ICILS Academy” (@icils_org), 804 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/icils_org.
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.