Telegram RegisterThe public register of Telegram

Channel

ICILS Academy

@icils_org

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

808subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001665182048
TypeChannel
Username@icils_org
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/icils_org

Topic

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)
Posted firstThenOverlapGap
@icils_org/132 · this entry1 Dec 2025, 18:04 UTC@ForeignPolicy_Ai/1351 Dec 2025, 18:05 UTC1.0072 seconds
@icils_org/141 · this entry7 Jul 2026, 15:12 UTC@ForeignPolicy_Ai/1477 Jul 2026, 15:12 UTC1.00under a minute
@ForeignPolicy_Ai/14920 Jul 2026, 17:29 UTC@icils_org/144 · this entry20 Jul 2026, 18:13 UTC1.0044 minutes
@ForeignPolicy_Ai/15123 Jul 2026, 15:20 UTC@icils_org/146 · this entry23 Jul 2026, 15:20 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ForeignPolicy_Ai7 (7/7 hand-verifiable sample passed)1.0072 secondsthis entry (43)

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.

Growth

8088 Aug 2026, 01:49 — 808 subscribers8 Aug 2026, 23:01 — 808 subscribers8 Aug 2026, 01:498 Aug 2026, 23:01
2 measurements taken within a single day. 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 807–809 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 23:01808no change
8 Aug 2026, 01:49808first reading

Engagement

17 posts held, back to 7 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.8%
avg views ÷ 808 subscribers
Avg views / post
192
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 17 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
WindowRolling 30 days · latest post in window 31 July 2026
Posts held17 (7 October 202531 July 2026)
Views total961
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:49 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
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.

Recent posts

31 Jul 2026, 16:11 UTC114 viewsread 8 August 2026

🌍 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. 👉

23 Jul 2026, 15:20 UTC239 viewsread 8 August 2026

*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

23 Jul 2026, 07:08 UTC213 viewsread 8 August 2026

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

20 Jul 2026, 18:13 UTC211 viewsread 8 August 2026

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

10 Jul 2026, 12:15 UTC300 viewsread 8 August 2026

📍 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

7 Jul 2026, 15:12 UTC333 viewsread 8 August 2026

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

3 Jul 2026, 10:14 UTC≈1,070 viewsread 8 August 2026
Photo

🤖 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

28 Jun 2026, 14:10 UTC383 viewsread 8 August 2026
Photo

🔹 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

28 Jun 2026, 14:09 UTC402 viewsread 8 August 2026

🔹 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

28 Dec 2025, 14:36 UTC524 viewsread 8 August 2026
Forwarded from @sbulawssaPhoto

🔵 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

1 Dec 2025, 18:04 UTC562 viewsread 8 August 2026

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.

Citation-graph rank

Citation-graph rank — 1,053,789 of 1,151,006entries 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

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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“ICILS Academy” (@icils_org), 808 subscribers as measured 8 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.