Telegram RegisterThe public register of Telegram

Channel

موسسه توسعه

@tiheac

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry

8,469subscribers

+88 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001002199896
TypeChannel
Username@tiheac
Created17 October 2015measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/tiheac

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 100% 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 4 other registered channels. 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@clubi/892829 Jul 2026, 14:17 UTC@tiheac/7645 · this entry29 Jul 2026, 14:17 UTC1.00under a minute
@tiheac/7653 · this entry2 Aug 2026, 07:02 UTC@clubi/89362 Aug 2026, 08:34 UTC1.001.5 hours
@tiheac/7659 · this entry3 Aug 2026, 18:18 UTC@clubi/89413 Aug 2026, 18:33 UTC1.0016 minutes
@iran_ie_job/476429 Jul 2026, 14:17 UTC@tiheac/7645 · this entry29 Jul 2026, 14:17 UTC1.00under a minute
@iran_ie_job/476529 Jul 2026, 14:45 UTC@tiheac/7646 · this entry29 Jul 2026, 14:45 UTC1.00under a minute
@tiheac/7647 · this entry29 Jul 2026, 16:14 UTC@iran_ie_job/476629 Jul 2026, 16:16 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@clubi12 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (111)
@iran_ie_job10 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (100)
@sharing_experiences9 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (81)
@iedep5 (5/5 hand-verifiable sample passed)1.002.7 hoursthis entry (41)

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 3 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 22 comparable posts for this entry, running 26 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 5, the earliest publisher we hold is @tiheac — which is this entry. That is a statement about our reading window, not a claim of authorship.

Views per post sit far above this size band

10,400 average views per post against 8,448 subscribers — an engagement rate of 123.1%. Across the 12,155 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Persian — the middle half sit between 5.73% and 23.7%, with a median of 12.3%.

What this was computed from
Window30 days (13 July 2026 12 August 2026)
Posts measured31 of 34 published in the window (17 exact, 14 rounded by Telegram)
Views totalled322,284
Mature posts only126.9% over 30 posts read at least 24h after publication
Subscribers8,448 measured 9 August 2026
Cohortb3162:fas · 12,155 channels · p10 2.57% · p25 5.73% · p50 12.3% · p75 23.7% · p90 40.5%
Position in cohort99.136th percentile · 10.0× the cohort median
Uncertainty±0.04% of the figure, from Telegram’s rounding
Post languagePersian · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_source · err_high, last confirmed 12 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 4 other registered channels, 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

8,3818,4698,4255 August 2026 — 8,381 subscribers6 August 2026 — 8,381 subscribers6 August 2026 — 8,383 subscribers9 August 2026 — 8,448 subscribers13 August 2026 — 8,469 subscribers5 August 202613 August 2026
5 measurements spanning 7 days, net +88. 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 8,368–8,482 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:078,469+21
9 Aug 2026, 23:418,448+65
6 Aug 2026, 15:118,383+2
6 Aug 2026, 03:028,381no change
5 Aug 2026, 22:008,381first reading

Engagement

34 posts held, back to 26 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
122.8%
avg views ÷ 8,469 subscribers
Avg views / post
10,400
31 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
34
of 34 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 12 August 2026
Posts held34 (26 July 202612 August 2026)
Views total322,284
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:24 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.

Recent posts

12 Aug 2026, 08:14 UTC544 viewsread 12 August 2026
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▶️ وبینار رایگان دنیای دیتا ساینس؛ 🐈‍⬛📊 از یادگیری ماشین تا محصولات هوشمند و بازار کار ⌨️ 💼 💡 فکر می‌کنید دیتا ساینس فقط ساخت مدل‌های پیش‌بینی است؟ ✅ اگر بخواهیم وارد دنیای دیتا ساینس شویم، از کجا باید شروع کنیم و چه مهارت‌هایی لازم است؟ 🎯 در این وبینار کوتاه می‌بینید: 🔵 #دیتا_ساینس چیست و در دنیای واقعی چه کاربردهایی دارد؟ 🔵 یک Data Product چیست و چه تفاوتی با یک مدل #Machine_Learning دارد؟ 🔵 شرکت‌ها چگونه از

11 Aug 2026, 13:12 UTC≈1,150 viewsread 12 August 2026
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⚠️ #تکمیل_ظرفیت 💡 کد ۲۵ دوره جامع و بلند مدت هوش تجاری #تکمیل_ظرفیت شده است. 👩‍🎓 هم اکنون کد ۲۶ برای ثبت‌نام علاقمندان باز شده است 📌 مشاوره و ثبت‌نام: 📎 @farahani_tihe 📎 @farahani_tihe ✨ مؤسسه آموزش عالی توسعه ➖➖➖➖➖➖➖➖➖ 🌐 https://tihe.ac.ir 📞 021-86741

11 Aug 2026, 08:51 UTC429 viewsread 12 August 2026
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☝️ نظر دانشجویان دوره آنلاین «علـــم داده (DATA SCIENCE)» ☝️ 🏃‍♂️ 10 روز تا شروع کد 41 باقی مانده است 🔴 41 اُمین کد (شروع 29 مرداد) ⏰ یکشنبه‌ها (18 الی 21) و پنجشنبه‌ها (14 الی 17) 🎓 با گواهینامه معتبر ⛔️ این کد در حال #تکمیل_ظرفیت است 📖 سرفصل‌ها: 🧠 از مفاهیم پایه تا پروژه‌های واقعی 🐍 به همراه آموزش Python و SQL Server 🥇 یادگیری ماشین (ML) | شبکه‌های عصبی | سری‌های زمانی 🔥 آموزش با Case Study ها و تحلیل‌ها از صنا

9 Aug 2026, 17:45 UTC591 viewsread 12 August 2026

علاقمندانی که نیاز به دریافت مشاوره و ثبت‌نام با تخفیف وبینار در دوره آنلاین علم داده (Data Science) دارند، میتوانند به خانم فراهانی پیام ارسال کنند: @farahani_tihe کد ۴۱ دوره #دیتا_ساینس شروع از 29 مرداد (کمتر از ۱۱ روز تا شروع دوره ) یکشنبه ها ساعت ۱۸ الی ۲۱:۳۰ پنجشنبه ها ساعت ۱۴ الی ۱۷:۳۰ #در_حال_تکمیل_ظرفیت ✨ موسسه آموزشی توسعه ➖➖➖➖➖➖➖➖➖➖ 🌐 https://tihe.ac.ir 📞 021-86741

9 Aug 2026, 17:17 UTC≈87,500 viewsread 12 August 2026
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⚠️📣 جلسه‌ی صفر دوره جامع تربیت متخصص هوش مصنوعی مولد رایگان شد ✈️🤖 🎙 مدرس: دکتر عماد باقری 🎯 هم بنیان گذار شتاب دهنده فینتک نوآفرین 👝 بنیانگذار استارتاپ نوآتدریدر (حوزه معاملات الگوریتمی) ✅ دانشجوی دکتری فناوری اطلاعات دانشگاه تهران 🗓 دوشنبه ۱۹ مرداد ⏱ ساعت ۱۸ 📌 ثبت‌نام رایگان (ظرفیت 100 نفر): 📎 جهت ثبت‌نام در جلسه صفر کلیک کنید 📎 جهت ثبت‌نام در جلسه صفر کلیک کنید 📎 جهت ثبت‌نام در جلسه صفر کلیک کنید ✨موسسه آموز

9 Aug 2026, 16:05 UTC480 viewsread 12 August 2026

علاقمندانی که نیاز به دریافت مشاوره و ثبت‌نام با تخفیف وبینار در دوره آنلاین علم داده (Data Science) دارند، میتوانند به خانم فراهانی پیام ارسال کنند: @farahani_tihe کد ۴۱ دوره #دیتا_ساینس شروع از 29 مرداد (کمتر از ۱۱ روز تا شروع دوره ) یکشنبه ها ساعت ۱۸ الی ۲۱:۳۰ پنجشنبه ها ساعت ۱۴ الی ۱۷:۳۰ #در_حال_تکمیل_ظرفیت ✨ موسسه آموزشی توسعه ➖➖➖➖➖➖➖➖➖➖ 🌐 https://tihe.ac.ir 📞 021-86741

9 Aug 2026, 09:03 UTC522 viewsread 12 August 2026
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#تکمیل_ظرفیت 💙 کد ۳ دوره جامع تربیت متخصص هوش مصنوعی مولد #تکمیل_ظرفیت شده است. 🟢 هم اکنون کد ۴ برای ثبت‌نام علاقمندان باز شده است 👈 مشاوره و ثبت‌نام: @farahani_tihe ✨ مؤسسه آموزش عالی توسعه ➖➖➖➖➖➖➖➖➖ 🌐 https://tihe.ac.ir 📞 021-86741

9 Aug 2026, 07:40 UTC256 viewsread 12 August 2026
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وبینار دیتا ساینس در دنیای واقعی 🐈‍⬛📊 از مدل‌های یادگیری ماشین تا خلق محصولات داده‌محور 🧬 🧪 💡 فکر می‌کنید دیتا ساینس فقط ساخت مدل‌های پیش‌بینی است؟ ✅ در واقع، مدل‌ها به‌تنهایی ارزشی ایجاد نمی‌کنند؛ ارزش واقعی زمانی شکل می‌گیرد که به محصولات داده‌محور (Data Products) تبدیل شوند. 🎯 در این وبینار کوتاه می‌بینید: 🔴 یک Data Product چیست و چه تفاوتی با مدل Machine Learning دارد؟ 🔴 شرکت‌ها چگونه از #داده برای ساخت محصول

9 Aug 2026, 07:39 UTC197 viewsread 12 August 2026
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📣 وبینار رایگان از Excel به Power BI 🗒📊 🟢مسیر حرفه‌ای ساخت داشبوردهای مدیریتی 🎙سخنران: ⭐️ مهندس امیر ایمن‌پور ✅ مدیر و تحلیلگر کسب‌وکار، مدرس و مشاور هوش تجاری هنوز برای گزارش‌گیری و تحلیل داده‌ها فقط از Excel استفاده می‌کنید؟ وقت آن رسیده با Power BI، داده‌های پراکنده را به داشبوردهای حرفه‌ای و بینش‌های مدیریتی تبدیل کنید! 🚀 در این وبینار می‌آموزید: 🟡 مقایسه کاربردهای Excel و Power BI 🟡 آشنایی با محیط Power BI De

8 Aug 2026, 09:23 UTC567 viewsread 12 August 2026
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🏃‍♂️ 12 روز تا شروع دوره آنلاین علم داده (دیتا ساینس) 🔥 پر تقاضاترین مهارت‌های امروز، توانایی کار با ابزارهای #علم_داده است ✅ بــدون پیـش‌نیـــازی 🐍 آموزش Python و SQL Server 🎯 آموزش از مفاهیم پایه تا پیشرفته 💻 آموزش یادگیری ماشین (ML) و یادگیری عمیق (ِDL) 📀 همراه با پروژه‌ها و دیتاست‌های واقعی 🏅 با گواهینـــامه معتبــر 📅 شروع دوره: 29 مرداد ⏱️ یکشنبه‌ها (18 الی 21) ⏱️ پنجشنبه‌ها (14 الی 17) ⏳ ظرفیت کد ۴۱ دوره در

6 Aug 2026, 16:03 UTC663 viewsread 12 August 2026
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⛔️ این دوره در حال #تکمیل_ظرفیت است ⌛️ شروع دوره 29 مرداد 1405 🚀 دوره جامـــع «علـــم داده (DATA SCIENCE)» 🎯 مسیری برای پژوهش، صنعت و آینده شغلی 🚦بـــدون پیشنیـــازی 🧠 از مفاهیم پایه تا پروژه‌های واقعی 🐍 به همراه آموزش Python و SQL Server 🥇 یادگیری ماشین (ML) | شبکه‌های عصبی | سری‌های زمانی 🔥 آموزش با Case Study ها و تحلیل‌ها از صنایع و حوزه‌های متعدد 👥 دوره آنلاین #علم_داده مناسب برای: ✅ دانشجویان و فارغ التحصیلا

Showing the 12 most recent of 34 posts we hold for @tiheac. 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 — 983 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.

کانال هوش تجاری
@Datatoinsight · 4,717
10 posts
باشگاه مهندسان صنایع ایران
@clubi · 4,319
7 posts
کانال کاریابی مهندسی صنایع و مدیریت
@iran_ie_job · 1,325
7 posts
کانال اشتراک تجربیات مهندسین صنایع
@sharing_experiences · 867
7 posts
مدرسه محصول توسعه
@tiheproductschool · 652
5 posts
دپارتمان تخصصی مهندسی صنایع
@iedep · 9,045
4 posts
مدرسه قصه‌ محصول
@productstorychannel · 855
4 posts
کانال شخصی امیر ایمن پور
@amir_imenpour · 3,216
3 posts
انجمن علمی مهندسی صنایع
@ie_semnan · 218
3 posts
در مسیر بهتر شدن، یادداشت‌های شخصی محمد مهدی پوربصیر
@mmpourbasir · 3,701
3 posts
OKR
@OKRcoach · 2,676
3 posts
کانال دکتر مجید ایوزیان
@m_eyvazian · 11,931
2 posts
تحقیق در عملیات-مهندس ایمن پور
@or12_ir · 1,918
2 posts
اطلاع رسانی رویداد های آموزشی و علمی
@TeamEvent · 3,139
2 posts
دوره دیجیتال مارکتینگ توسعه
@tihedigitalmarketing · 9
2 posts
اخباردانشجویان پیام نور
@Akhbar_pnu · 8,618
1 post
انجمن علمی مهندسی صنایع علوم و فنون
@anjomansanayeofu · 206
1 post
اساتید بهشتی
@asatidebeheshti · 18,514
1 post
توییتر امیرکبیر
@aut_twit · 6,280
1 post
توییتر امیرکبیری‌ها
@auttweet · 9,821
1 post
اخبار دانشجویان دانشگاه آزاد
@Azadtnb1 · 160,997
1 post
مدیریت تغییر
@changemanagers · 16,617
1 post
Computer & IT Engineering
@Computer_IT_Engineering · 188,254
1 post
اعلام وضعیت YU
@elamvaziyat_yu · 11,564
1 post
علموص
@elmos95 · 19,823
1 post
دانشگاه اصفهان
@Esfahan_University · 28,550
1 post
توییتر دانشگاه اصفهان
@esfuni_twitter · 27,050
1 post
انجمن علمی مهندسی صنایع فیروزآباد
@Fusaieg · 270
1 post
Hashtagify‌‍‍! | آموزش هوش‌ مصنوعی
@hashtagifyofficial · 12,904
1 post
دانشجویان ورودی‌ ۱۴۰۲
@iau02 · 15,239
1 post
گروه و کانال های اساتید دانشگاه آزاد اسلامی تبریز
@iauTabriz_link · 24,348
1 post
دانشجویان دانشگاه آزاد اسلامی تبریز
@iauTnews · 41,409
1 post
اخبار IAU (دانشگاه آزاد اسلامی )
@IAzadUN · 38,146
1 post
IEC(Meybod_Uni)
@IEC_MeybodUni · 408
1 post
IEM Twitter | توییتر مهندسی صنایع و مدیریت
@IEMTwitter · 26,522
1 post
مهندسی صنایع و مدیریت ieproject
@ieproject · 8,786
1 post
Industrial Engineering
@industrialchannel · 6,418
1 post
دانشگاه صنعتی اصفهان
@isfahan_University_of_tech · 19,640
1 post
تبلیغات تخصصی گسترده کشوری
@keshver98 · 1,335
1 post
خبرنامه دانشگاهی📣
@KhabarDaneshgahi · 12,676
1 post
پایگاه‌اطلاع‌رسانی‌‌دانشگاه‌‌آزادکرج
@khabarnegar_azad · 40,602
1 post
دانشجویان ‌دانشگاه آزاد ‌کرج🎓
@kiauaciruniversity · 17,461
1 post
کتابخانه مجازی دانشگاهی
@Library_Uni · 17,363
1 post
LinkedIn | لینکدین
@LinkedInLearning_ir · 28,419
1 post
آکادمی مدیریت و صنایع
@miacademy · 11,767
1 post
دانشگاه علوم پزشکی اصفهان
@mui_ac · 12,303
1 post
🎓 اخبار دانشگاه آزاد 🎓
@NEWSAZAD · 25,273
1 post
News Tnb
@newstnb · 58,432
1 post
مرکز نوآوری و کارآفرینی دانشگاه شاهد
@noavarishahed · 213
1 post
•Orzhans News•📚IAUM دانشگاه آزاد مشهد
@Orzhans_IAUM · 45,027
1 post
کانال استادیابی دانشگاه آزاد
@Ostadyabi_tnb · 39,125
1 post
J o z v e
@Qiau_jozve · 25,779
1 post
Qiau Link
@qiaulink · 10,099
1 post
radio uni رادیو یونی
@radio_universal · 18,903
1 post
اورژانس جزوه (تهران مرکز)
@realorzhansjozve · 15,936
1 post
ریش سفیدا | Rishsefida
@rishsefida · 6,647
1 post
کالج صنایعشو‌‌| آموزش و مشاوره شغلی و مشاوره درآمدزایی و مشاوره کسب و کار
@sanayesho · 8,099
1 post
SBU
@SBUProf · 17,363
1 post
صدای دانشجو|دانشگاه آزاد دزفول
@sd_uni_azad_dezful · 6,617
1 post
Shirazu1 دانشگاه شیراز
@shirazu1 · 15,316
1 post
توییتر دانشگاه شیراز
@shirazu_twitter · 16,005
1 post
توییت علوم تحقیقات
@srbtwitter · 47,894
1 post
ترفند مدیریت
@tarfandemodiriat · 99,869
1 post
تهران مرکز
@TehranMarkaz · 76,544
1 post
راه ارتباطی با اساتید تهران مرکز
@TmContact · 12,885
1 post
معرفی اساتید تهران مرکز
@TmPmz · 47,174
1 post
رسانه ی دانشجویی کشوری
@tnbnews · 7,103
1 post
(بانک کتاب دانشگاه) دانشجو SHOP
@TnbShop · 54,119
1 post
توییتر دانشجویی ملی‌ مهارت
@tweet_Mahart · 17,204
1 post
توییتر دانشگاه آزاد قم
@Twiter_Azad · 6,366
1 post
توییتر دانشجویی
@Twitterjo · 50,550
1 post
توییتر دانشگاه علامه طباطبایی
@ua_twitter · 10,529
1 post
یو‌بی‌ توییتر
@ub_tweet · 6,675
1 post
UmzMedia | دانشگاه مازندران
@UmzMedia · 17,419
1 post
توییتر دانشجویی کردستان
@uoktweet · 14,861
1 post
توییتر دانشگاه تهرانی ها
@uttweet · 142,012
1 post
از دانشگاه چه خبر؟
@whataboutuni · 6,403
1 post
باشگاه دانشجویان دانشگاه یزد
@YazdUnion · 14,616
1 post

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 11 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.

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

“موسسه توسعه” (@tiheac), 8,469 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tiheac.

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.