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Channel

کانال اصلی دوره های مهارت افزایی دانشگاه علامه طباطبایی

@maharatatu

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

11,290subscribers

+27 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002183043701
TypeChannel
Username@maharatatu
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/maharatatu

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 10 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 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 (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@atumaharat/84475 Aug 2026, 17:02 UTC@maharatatu/1021 · this entry6 Aug 2026, 06:33 UTC1.0014 hours
@maharatatu/1022 · this entry6 Aug 2026, 06:34 UTC@atumaharat/84506 Aug 2026, 14:43 UTC1.008.2 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@atumaharat5 (5/5 hand-verifiable sample passed)1.004.3 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. None of the 0 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 15 comparable posts for this entry, running 7 June 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 @maharatatu — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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.

Growth

11,26311,29411,278.56 August 2026 — 11,263 subscribers6 August 2026 — 11,269 subscribers7 August 2026 — 11,267 subscribers8 August 2026 — 11,277 subscribers9 August 2026 — 11,286 subscribers10 August 2026 — 11,287 subscribers11 August 2026 — 11,290 subscribers12 August 2026 — 11,291 subscribers13 August 2026 — 11,294 subscribers14 August 2026 — 11,293 subscribers16 August 2026 — 11,290 subscribers11,2906 August 202616 August 2026
11 measurements spanning 10 days, net +27. 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 11,258–11,299 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 15:2311,290-3
14 Aug 2026, 21:3411,293-1
13 Aug 2026, 13:4911,294+3
12 Aug 2026, 15:5411,291+1
11 Aug 2026, 18:2411,290+3
10 Aug 2026, 16:2311,287+1
9 Aug 2026, 17:5111,286+9
8 Aug 2026, 14:3711,277+10
7 Aug 2026, 16:5711,267-2
6 Aug 2026, 18:1011,269+6
6 Aug 2026, 08:3311,263first reading

Engagement

21 posts held, back to 7 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
36.3%
avg views ÷ 11,290 subscribers
Avg views / post
4,100
15 posts measured
Reaction rate
0.114%
reactions ÷ views · ER floor
Posts in window
15
of 21 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. It is computed over the 13 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held21 (7 June 202615 August 2026)
Views total61,510
Reactions total63
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 15:59 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.

Reaction mix

74 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 45.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3445.9%
👏3040.5%
👍1013.5%

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 17 of the 21 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 74reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 7 June 2026 to 15 August 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.

Recent posts

15 Aug 2026, 11:09 UTC≈1,310 views1 reactionsread 15 August 2026

دفتر مهارت افزایی کالج دانشگاه علامه طباطبائی برگزار میکند عنوان دوره: کارگاه اصول اخلاق حرفه ای در روان درمانگری به همراه کار عملی مدرس دوره: دکتر علی قائدنیای جهرمی (عضو هیئت علمی گروه روانشناسی بالینی دانشگاه علامه طباطبایی) مدت دوره: 8 ساعت تاریخ برگزاری:26 و 28 مرداد ماه ساعت برگزاری: 18-22 نحوه برگزاری: انلاین در بستر اسکای روم با تخفیف: ۶۰۰ ت سرفصل های دوره: مبانی اخلاق حرفه‌ای در روان‌درمانگری مرزهای درمان

👍1

6 Aug 2026, 06:34 UTC≈4,180 views6 reactionsread 15 August 2026

#فوری ✅با توجه به اعلام سازمان اداری و استخدامی مبنی بر برگزاری آزمون استخدامی آموزش و پرورش و دستگاه های اجرایی در پایان سال جاری و همچنین درخواست بالای مخاطبان مجوز برگزاری دوره icdl به صورت آنلاین صادر شد و میتوانید ثبت نام کنید ✅در حال حاضر نخستین اقدام برای ورود به بازار کسب و کار حرفه ای یادگیری مهارت های هفتگانه ICDL می باشد. در این دوره آموزشی، مهارت های هفتگانه ICDL از قبیل اکسل، اکسس، ورد، پاورپوینت، اینت

6

6 Aug 2026, 06:33 UTC≈2,600 views3 reactionsread 15 August 2026
Photo

ثبت نام دوره جامع #ICDL به صورت #آنلاین #غیرحضوری 〽️مخاطبین دوره آموزشی مهارتICDL ⭐️ دانشجویان هر رشته و مقطع تحصیلی 🔖 با دو مدرک جداگانه؛ مدرک دارای هولوگرام و قابل پیگیری از دانشگاه علامه طباطبائی و مدرک بین المللی و قابل ترجمه از سازمان فنی حرفه ای ❗️آزمون و مدرک دانشگاه به صورت #رایگان است و دانشجویانی که قصد شرکت در آزمون های فنی حرفه ای را دارند باید هزینه آزمون فنی حرفه ای را طبق تعرفه رسمی فنی حرفه ای (شا

3

5 Aug 2026, 14:48 UTC≈3,550 views9 reactionsread 15 August 2026

معرفی مدرس دوره مهارت‌های هفت‌گانه ICDL به اطلاع می‌رساند مدرس دوره ICDL دانشگاه: 🔹 جناب آقای مهندس حسین درویشی مدرس رسمی سازمان آموزش فنی و حرفه‌ای کشور کارشناس ارشد مهندسی مدیر گروه آموزشی ویراتک با بیش از ۲۳۶ هزار دنبال‌کننده در فضای مجازی ایشان با بیش از یک دهه تجربه در حوزه آموزش مهارت‌های کامپیوتری، از جمله ICDL، از اساتید شناخته‌شده و صاحب‌نام در سطح کشور به شمار می‌آیند. سبک تدریس کاربردی، تسلط بالا بر نرم

👏9

5 Aug 2026, 14:48 UTC≈2,920 views2 reactionsread 15 August 2026

#هم اکنون ویژه متقاضیان استخدام و علاقه‌مندان مهارت‌آموزی حرفه‌ای دوره فشرده و کاربردی ICDL با ارائه مدرک رسمی و معتبر - ظرفیت محدود مزایای منحصربه‌فرد این دوره: ♦️ تدریس توسط مدرس رسمی سازمان فنی حرفه ای کشور ♦️ ۶۰ ساعت آموزش کاربردی + درج ۱۳۰ ساعت در مدرک رسمی ♦️ ارائه مدرک معتبر و قابل استعلام از فنی‌حرفه‌ای و دانشگاه علامه طباطبایی ♦️ آنلاین و منعطف - مناسب شاغلان و دانشجویان ♦️ ضبط کامل جلسات + دسترسی دائم

👍2

3 Aug 2026, 07:01 UTC≈3,650 views21 reactionsread 15 August 2026
Photo

#فوری 🚨 ✅ مجوز برگزاری دوره آنلاین ICDL صادر شد! با توجه به درخواست بالای مخاطبان، 📢 ثبت‌نام دوره آنلاین ICDL به زودی آغاز خواهد شد! 💡 اولین گام برای ورود حرفه‌ای به بازار کار، یادگیری مهارت‌های هفت‌گانه ICDL است. در این دوره کاربردی، تمامی مهارت‌های مورد نیاز شامل: 📘 Word – 📊 Excel – 📂 Access – 🎞 PowerPoint – 🌐 Internet – 💻 مفاهیم پایه فناوری اطلاعات به‌صورت کامل آموزش داده می‌شود. با ارایه مدرک بین المللی فنی حر

👏21

3 Aug 2026, 06:23 UTC≈3,640 views5 reactionsread 15 August 2026
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📣📣دفتر مهارت افزایی کالج دانشگاه علامه طباطبایی برگزار میکند: ✳️ کارگاه تخصصی درمان به روش CBT 📌با ارایه مدرک معتبر و قابل پیگیری از دانشگاه علامه طباطبایی 💎💎 مدرس: دکتر سارا کاکلیان (درمانگر تخصصی این حوزه و مدرس دانشگاه ) طول دوره: 44 ساعت 🕰️زمان برگزاری: جمعه ها ساعت 9 الی 14 💢شروع دوره از 30 مرداد ♻️کاملا عملی و کاربردی 💢 آنلاین و آفلاین 💢 سرفصلها: 📌کارگاه مصاحبه بالینی 📌کارگاه تشخیص اختلالات 📌کارگاه ب

👍5

1 Aug 2026, 11:04 UTC≈7,960 views5 reactionsread 15 August 2026

💥 دفتر مهارت افزایی کالج دانشگاه علامه طباطبائی برگزار میکند: کارگاه مقاله نویسی؛ از ایده پژوهشی تا پذیرش و انتشار به صورت #آنلاین 🌐 👨‍💼مدرس: دکتر محمد عسگری استاد تمام دانشکده روانشناسی دانشگاه علامه طباطبایی 📝سرفصل‌های کارگاه مقاله‌نویسی ویژه دانشجویان 📌انتخاب مسئله پژوهشی نوآورانه 📌تبدیل ایده به سؤال پژوهش 📌طراحی ساختار مقاله علمی 📌نگارش عنوان و چکیده اثرگذار 📌تدوین مقدمه و بیان مسئله 📌مرور نظام‌مند پیشینه پژ

5

30 Jul 2026, 13:46 UTC≈4,260 views2 reactionsread 15 August 2026

🖊️مدل «اصول مشاوره و هنر درمان» یکی از جامع‌ترین و کاربردی‌ترین رویکردهای آموزش مهارت‌های درمانگری است . این مدل علاوه بر آموزش مهارت‌های پایه، سه قلمرو پیشرفته (طرحواره، هیجان، دوسوگرایی) و همچنین تفکر غیرخطی و مداخلات تناقضی را ارائه می‌دهد که برای درمانگران این حیطه ضروری است ✅اهداف کلی کارگاه آشنایی کامل با سه قلمرو پایه درمانگری آموزش عملی سه قلمرو پیشرفته (طرحواره، هیجان، دوسوگرایی) تقویت مهارت تحلیل کیس و تص

2

30 Jul 2026, 13:46 UTC≈3,750 views4 reactionsread 15 August 2026

گاهی «تنها بودن» انتخاب ماست؛ اما «احساس تنهایی» حتی در میان جمع هم می‌تواند همراه‌مان باشد. کارگاه «مقابله با احساس تنهایی؛ از رنج به هنرِ تنها بودن» فرصتی است برای شناخت علمی این تجربه و یادگیری راه‌هایی عملی برای عبور از تنهایی رنج‌آور به سوی خلوتی آگاهانه، رابطه‌ای مهربانانه‌تر با خود و ارتباط‌هایی عمیق‌تر با دیگران. 🌱 🔹 در این کارگاه با چه موضوعاتی آشنا می‌شویم؟ • تفاوت احساس تنهایی، انزوای اجتماعی و خلوت • ان

4

Showing the 12 most recent of 21 posts we hold for @maharatatu. 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 — 19,738 of 1,481,243entries 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

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 7 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“کانال اصلی دوره های مهارت افزایی دانشگاه علامه طباطبایی” (@maharatatu), 11,290 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/maharatatu.

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.