Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 3 November 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 the other topics.
Previous handles
@sirmfadic was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@diplo_prof held 6 August 2026 – 6 August 2026
Growth
8 measurements spanning 89 days, net +308. 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 485–885 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Nov 2026, 12:49
839
+1
3 Nov 2026, 05:22
838
+235
26 Aug 2026, 07:47
603
+20
18 Aug 2026, 20:07
583
+39
12 Aug 2026, 18:07
544
+12
6 Aug 2026, 18:31
532
no change
6 Aug 2026, 15:30
532
+1
6 Aug 2026, 04:05
531
first reading
Engagement
30 posts held, back to 24 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
281.0%
avg views ÷ 839 subscribers
Avg views / post
2,360
13 posts measured
Reaction rate
0.042%
reactions ÷ views · ER floor
Posts in window
14
of 30 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 6 of 13 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 31 October 2026
Posts held
30 (24 July 2026 – 31 October 2026)
Views total
30,653
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Nov 2026, 05:22 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
24 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 70.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17
70.8%
💯
6
25.0%
🔥
1
4.17%
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 11 of the 30 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 24 July 2026 to 31 October 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
Telegram’s own ‘edited’ marker: 7 of 14 posts held from the last 30 days (50.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
📣 اطلاعیه
📜 گواهینامه کارگاه آموزشی روش تحلیل در سیاست خارجی
ضمن سپاس از همراهی شما گرامیان، جهت دریافت گواهینامه این دوره در نرم افزار بله به شناسه این معاونت به نشانی @sirmfa_dic پیام بگذارید ( با ذکر نام و نام خانوادگی) 🌱
✉️ راههای ارتباطی ما:
📨 بله و تلگرام: @sirmfa_dic
کسب اطلاع از دورههای آموزشی و کارگاههای تخصصی - کاربردی:
🟦 https://t.me/sirmfadic
🟩 http://ble.ir/sirmfadic
سفر آموزشی و زیارتی دانشجویان دختر دانشکده روابط بینالملل به شهر قم
جمعی از دانشجویان دختر دانشکده روابط بینالملل در برنامهای آموزشی و زیارتی به سرپرستی جناب آقای دکتر نیکبین، معاون محترم دانشکده با هدف تقویت شناخت دانشجویان از ظرفیتهای مذهبی، فرهنگی و پژوهشی کشور، به شهر مقدس قم سفر کردند. در این برنامه، دانشجویان ضمن بازدید از موزه فقه و زندگی و آشنایی با ابعاد کاربردی فقه در زندگی فردی و اجتماعی، از مسجد مقد…
🔮 دانشکده روابط بینالملل وزارت امور خارجه برگزار میکند:
⚜️ کارگاه آموزشی روسیه شناسی ⚜️
🔹 روابط دوجانبه ایران و روسیه
جناب آقای دکتر منوچهر مرادی
مدیرکل اوراسیای وزارت امور خارجه
🔸 تحولات داخلی روسیه با توجه به تحریمهای بینالمللی
جناب آقای دکتر جهانگیر کرمی
عضو هیأت علمی دانشکده مطالعات جهان دانشگاه تهران
🔹 روابط روسیه با کشورهای عضو سازمان همکاری شانگهای
جناب آقای دکتر ابوالفضل علمایی فر
معاون اسبق سفیر ایرا…
📣 اطلاعیه
همراهان گرامی؛
کارگاه آموزشی روش تحلیل در سیاست خارجی شنبه مورخ ۱۴۰۵/۰۸/۰۲ لغایت چهارشنبه ۱۴۰۵/۰۸/۰۶ بصورت مجازی در بستر الوکام از ساعت ۲۰ الی ۲۱:۳۰ برگزار میگردد.
حضور به موقع فراگیران محترم در بستر الوکام از طریق لینک ارسالی با انتخاب گزینه میهمان و درج نام و نام خانوادگی به زبان فارسی، سبب همراهی شما عزیزان در برگزاری هرچه بهتر این دوره خواهد بود.
راههای ارتباطی ما:
📨 بله و تلگرام: @sirmfa_dic
📧 ایمیل…
در ادامه برنامههای فرهنگی دانشکده روابط بینالملل، نشست «سهشنبه فرهنگی» روز سهشنبه ۲۱ مهرماه ۱۴۰۵ با حضور رئیس، معاون محترم و دانشجویان دانشکده برگزار شد. در این نشست، دانشجویان به ارائه گزارش از تجربه سفرهای علمی و فرهنگی خود پرداختند. در بخش نخست، آقای امیررضا علیبخشی و سرکار خانم حسنا پیروان گزارشی از سفر دانشجویی دانشکده روابط بینالملل به مشهد مقدس در شهریورماه ۱۴۰۵ ارائه کردند. در ادامه، سرکار خانم راحله …
برگزاری سهشنبه فرهنگی دانشکده روابط بینالملل با ارائه گزارش سفرهای دانشجویی به مشهد مقدس و ترکیه مورخ ۲۱ مهر ۱۴۰۵
🟦 https://t.me/sirmfadic
🟩 http://ble.ir/sirmfadic
Showing the 12 most recent of 30 posts we hold for @sirmfadic. 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
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“دانشکده روابط بینالملل وزارت امور خارجه” (@sirmfadic), 839 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/sirmfadic.
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.