Telegram RegisterThe public register of Telegram

Channel

انجمن‌های علمی دانشکده‌ی علوم اداری

@AEFUM

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

1,185subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001254255615
TypeChannel
Username@AEFUM
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/AEFUM

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 83% 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
@AEFUM/3055 · this entry12 Jul 2026, 13:30 UTC@esaof/150912 Jul 2026, 13:31 UTC1.0072 seconds
@AEFUM/3056 · this entry17 Jul 2026, 17:31 UTC@esaof/151018 Jul 2026, 03:31 UTC1.0010.0 hours
@AEFUM/3061 · this entry20 Jul 2026, 19:19 UTC@esaof/151520 Jul 2026, 19:27 UTC1.008 minutes
@AEFUM/3062 · this entry20 Jul 2026, 19:19 UTC@esaof/151620 Jul 2026, 19:27 UTC1.008 minutes
@AEFUM/3064 · this entry24 Jul 2026, 17:45 UTC@esaof/151725 Jul 2026, 17:20 UTC1.0024 hours
@AEFUM/3065 · this entry27 Jul 2026, 14:54 UTC@esaof/152127 Jul 2026, 15:39 UTC1.0046 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@esaof7 (7/7 hand-verifiable sample passed)1.0046 minutesthis entry (70)
@management_fum6 (6/6 hand-verifiable sample passed)1.002.3 hoursthis entry (60)
@fum_accounting5 (5/5 hand-verifiable sample passed)1.0018 hoursthis entry (50)
@SSAFUM5 (5/5 hand-verifiable sample passed)1.0021 hoursthis entry (50)

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 11 comparable posts for this entry, running 21 June 2026 to 30 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 5, the earliest publisher we hold is @AEFUM — 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 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

1,1851,1861,185.56 August 2026 — 1,185 subscribers6 August 2026 — 1,185 subscribers9 August 2026 — 1,186 subscribers12 August 2026 — 1,185 subscribers6 August 202612 August 2026
4 measurements spanning 6 days. 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 1,185–1,186 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:241,185-1
9 Aug 2026, 19:511,186+1
6 Aug 2026, 08:491,185no change
6 Aug 2026, 04:521,185first reading

Engagement

12 posts held, back to 21 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.0%
avg views ÷ 1,185 subscribers
Avg views / post
225
8 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
8
of 12 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 30 July 2026
Posts held12 (21 June 202630 July 2026)
Views total1,803
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 08:49 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.

Recent posts

30 Jul 2026, 18:43 UTC≈186 viewsread 6 August 2026
Photo

📸 گزارش تصویری | دومین نشست ترویجی فامنتوم دومین نشست ترویجی فامنتوم با موضوع سرمایه‌گذاری غیرمستقیم و آشنایی با صندوق‌های سرمایه‌گذاری با حضور جمعی از دانشجویان و علاقه‌مندان برگزار شد. در این نشست، شرکت‌کنندگان با مفاهیم سرمایه‌گذاری غیرمستقیم، انواع صندوق‌های سرمایه‌گذاری، معیارهای اولیه بررسی صندوق‌ها و نکات مهم برای تصمیم‌گیری آگاهانه در سرمایه‌گذاری آشنا شدند. دومین نشست ترویجی فامنتوم در ادامه سلسله نشست‌ها

29 Jul 2026, 08:53 UTC≈231 viewsread 6 August 2026

❌❌❌جلسه در حال برگزاری است❌❌❌ 🔗 لینک حضور آنلاین (اسکای‌روم): https://skyroom.online/ch/fum405/fumentum

27 Jul 2026, 14:54 UTC≈226 viewsread 6 August 2026
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📊 انجمن‌های علمی دانشکده علوم اداری و اقتصادی دانشگاه فردوسی مشهد برگزار می‌کنند: 💠 نشست تخصصی ترویجی فامنتوم «سرمایه‌گذاری غیرمستقیم» این نشست با هدف آشنایی دانشجویان و علاقه‌مندان با ابزارها و مفاهیم سرمایه‌گذاری غیرمستقیم در بازار سرمایه برگزار می‌شود. 🎙 با حضور: 🔸 آقای دکتر محمدحسین ودیعی 🔸 آقای علیرضا فرشید سرفصل‌های نشست: 🔹 بررسی صندوق‌های سرمایه‌گذاری 🔹 آشنایی با مفاهیم سرمایه‌گذاری غیرمستقیم 🗓 چهارشنبه ۷

24 Jul 2026, 17:45 UTC≈223 viewsread 6 August 2026
File

مینی‌پادکست فامنتوم | اپیزود اول برای اینکه با آمادگی بیشتری در نشست‌های بعدی شرکت کنیم، در این اپیزود ۶ دقیقه‌ای مهم‌ترین نکات نشست اول با حضور جناب آقای علیرضا فرشید را مرور کرده‌ایم. این اپیزود، پیش‌زمینه‌ای مناسب برای همراهی بهتر با تحلیل‌های نشست‌های آینده فامنتوم است. 📌 در این اپیزود: ✔️ کج‌فهمی رایج درباره عرضه اولیه (IPO) ✔️ رفتار گله‌ای و تأثیر دامنه نوسان ✔️ آشنایی با ضریب بتا (Beta) و تحلیل Top-Down ✔️ ا

24 Jul 2026, 17:27 UTC≈217 viewsread 6 August 2026
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✨نشست‌های رصد بازارهای مالی فامنتوم به‌صورت مستمر و هفته در میان در دو قالب برگزار خواهند شد: (یک هفته نشست ترویجی و یک هفته نشست تخصصی و تحلیلی) 🔹 نشست‌های ترویجی ویژه تمامی علاقه‌مندان به بازارهای مالی؛ با هدف آشنایی با مفاهیم پایه، مسیر ورود به بازار، ابزارهای مالی و ایجاد یک زبان مشترک برای یادگیری. 🔹 نشست‌های تخصصی و تحلیلی با تمرکز بر تحلیل بازار، بررسی صنایع، متغیرهای اثرگذار و تحلیل داده‌های روز. حضور در ا

20 Jul 2026, 19:19 UTC≈220 viewsread 6 August 2026
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📚 فایل ارائه نشست ترویجی اول فامنتوم در ادامه، فایل کامل ارائه نخستین نشست ترویجی فامنتوم در اختیار علاقه‌مندان قرار می‌گیرد. این فایل نسخه کامل‌تر مطالب ارائه‌شده در نشست است و برای مطالعه و مرور مباحث تهیه شده است. 🌱 فامنتوم | دانش امروز، تصمیم فردا #مرور_نشست_اول #نشست_ترویجی_اول 🆔https://t.me/FUMentum

20 Jul 2026, 19:19 UTC≈171 viewsread 6 August 2026
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📊 خلاصه نشست ترویجی اول فامنتوم در این اینفوگرافی، مهم‌ترین نکات مطرح‌شده در نخستین نشست ترویجی فامنتوم به‌صورت خلاصه و تصویری ارائه شده است. امیدواریم این محتوا برای مرور مطالب شرکت‌کنندگان و آشنایی علاقه‌مندانی که امکان حضور در نشست را نداشتند، مفید باشد. 🌱 فامنتوم | دانش امروز، تصمیم فردا #اینفوگرافی #نشست_ترویجی_اول 🆔https://t.me/FUMentum

17 Jul 2026, 17:31 UTC≈329 viewsread 6 August 2026
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📸 گزارش تصویری | نخستین نشست تخصصی تحلیل وضعیت بازار سرمایه نخستین نشست تخصصی «تحلیل وضعیت بازار سرمایه» با استقبال خوب دانشجویان و علاقه‌مندان در دانشکده علوم اداری و اقتصادی برگزار شد. در این نشست، ضمن بررسی آخرین وضعیت بازار سرمایه، مباحثی همچون روش صحیح تحلیل بازار، آشنایی با شاخص‌های مهم بورس، تحلیل صنایع و سهام، مدیریت ریسک و اصول تصمیم‌گیری آگاهانه در سرمایه‌گذاری به زبانی ساده و کاربردی ارائه شد. این برنام

12 Jul 2026, 13:30 UTC≈4,490 viewsread 6 August 2026
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📊 انجمن‌های علمی دانشکده علوم اداری و اقتصادی دانشگاه فردوسی مشهد برگزار می‌کنند: 💠 سلسله نشست هایتخصصی «تحلیل وضعیت بازار سرمایه» این نشست با هدف ایجاد فضایی برای تحلیل، گفت‌وگو و تبادل نظر میان دانشجویان علاقه‌مند به بازار سرمایه برگزار می‌شود. سرفصل‌های نشست: 🔹بررسی وضعیت فعلی بازار سرمایه ایران 🔹 تحلیل عوامل مؤثر بر روند بازار 🔹 بررسی صنایع پیشرو و فرصت‌های سرمایه‌گذاری 🗓 سه‌شنبه ۲۳ تیر ۱۴۰۵ 🕐 ساعت ۱۳:۰۰ 📍

11 Jul 2026, 11:12 UTC≈310 viewsread 6 August 2026
Forwarded from @fumprPhoto

📌اطلاعیه آموزشی به آگاهی عموم استادان معظم و دانشجویان محترم می‌رساند، آزمون‌های پایان ترم مربوط به روزهای ۱۳و ۱۴ تیرماه که براساس نامه ابلاغی معاونت آموزشی وزارت عتف، مورخ ۱۴۰۵/۳/۲۷ و به‌منظور حضور دانشگاهیان در مراسم وداع و تشییع پیکر رهبر شهید انقلاب اسلامی لغو شده بود، پیرو اطلاع رسانی قبلی معاونت آموزشی دانشگاه فردوسی مشهد، در روزهای یکشنبه و دوشنبه مورخ ۲۱ و ۲۲ تیرماه در ساعت مقرر قبلی برگزار خواهد شد. معاونت

21 Jun 2026, 15:50 UTC≈300 viewsread 6 August 2026
Forwarded from @SSAFUMPhoto

🔴 دانشگاه فقط کلاس درس نیست؛ جایی برای ساختن آینده حرفه‌ای توست. کارگاه «انجمن علمی دانشجویی؛ از عضویت تا اثرگذاری» 🎙 سخنران: مهندس امیر حجتی دبیر اسبق انجمن‌های علمی دانشجویی دانشگاه فردوسی مشهد 📅 زمان: یکشنبه ۳۱ خردادماه ۱۴۰۵ 🕓 ساعت: ۱۶ 📍 مکان: دانشگاه فردوسی مشهد ❗️ویژه بیست و هفتمین دوره انتخابات انجمن‌های علمی دانشجویی دانشگاه فردوسی مشهد برای ثبت‌نام، QR Code روی پوستر را اسکن کنید یا از لینک زیر وارد شو

21 Jun 2026, 15:50 UTC≈436 viewsread 6 August 2026
Forwarded from @SSAFUM

❗️به اطلاع می‌رساند زمان برگزاری کارگاه آشنایی با انجمن‌های علمی دانشجویی‌ به روز دوشنبه ۱ تیرماه ساعت ۱۶ منتقل شد. اطلاعات محل برگزاری کارگاه در روز برگزاری، برای شرکت کنندگان پیامک خواهد شد. #انتخابات #انجمن_های_علمی_دانشجویی_دانشگاه_فردوسی_مشهد 🔸• @ssafum 🔹• instagram.com/anjoman_elmi_mashhad 🔸• ble.ir/ssafum

Showing the 12 most recent of 12 posts we hold for @AEFUM. 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 — 39,549 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

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 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

انجمن های علمی فردوسی مشهد
@SSAFUM · 13,850
16 posts
انجمن علمی توسعه مهارت‌های شغلی دانشگاه فردوسی مشهد
@csdfum · 45
5 posts
انجمن علمی اقتصاد دانشگاه فردوسی مشهد
@esaof · 1,361
5 posts
Jobsway_
@jobswayfum · 73
5 posts
انجمن علمی مطالعات افغانستان »دانشگاه فردوسی»🎓📚
@Association_Of_Afgh_Studies · 376
4 posts
انجمن علمی حسابداری دانشگاه فردوسی مشهد
@fum_accounting · 1,232
4 posts
انجمن علوم سیاسی ایران - شعبه خراسان
@khorasanpolitic · 262
4 posts
انجمن علمی مدیریت دانشگاه فردوسی
@management_fum · 1,170
4 posts
نواکور
@novacore_ir · 66
4 posts
نشریه ثبات
@sabatecu · 31
4 posts
نگاه بنیادی به بورس ایران 📊 - علیرضا فرشید
@ARFarshid · 2,656
3 posts
اقتصادی های دانشگاه فردوسی مشهد
@economics_um · 496
3 posts
انجمن علمی علوم سیاسی دانشگاه فردوسی
@politicalfum · 1,047
3 posts
FumFea
@fumfea · 297
2 posts
محمدصادق دانشجو | 𝐌𝐨𝐡𝐚𝐦𝐦𝐚𝐝 𝐒𝐚𝐝𝐞𝐪 𝐃𝐚𝐧𝐞𝐬𝐡𝐣𝐨𝐮
@MoSadeqd · 5,424
2 posts
کانال خبری انجمن علمی علوم سیاسی دانشگاه یاسوج
@ps_yasuj · 132
2 posts
🌍سـیـاسـت بـهـشـتـے🏛
@SBU_PoliticalScience · 30,480
2 posts
انجمن علمی حقوق دانشگاه فردوسی
@anjoman_law · 3,091
1 post
اقتصاد پولی و مالی (علی چشمی)
@cheshomi_ali · 594
1 post
انجمن علمی اقتصاد دانشگاه اردکان
@economyardakan · 26
1 post
🇮🇷 کانون فرهنگ و ایران‌شناسی دانشگاه فردوسی مشهد 🇮🇷
@Fum_iranshenasi · 507
1 post
رصد بازارهای مالی فامنتوم
@FUMentum · 106
1 post
همکاران سیستم
@FUMhamkaransystem · 11
1 post
Int.law(Dr.mohsenmolaeifard)
@Mohsenmolaeifard · 99
1 post

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

“انجمن‌های علمی دانشکده‌ی علوم اداری” (@AEFUM), 1,185 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/AEFUM.

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.