2 measurements spanning 2 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 66–68 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 01:17
67
no change
7 Aug 2026, 14:39
67
first reading
Engagement
20 posts held, back to 1 September 2025 — the 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
768.7%
avg views ÷ 67 subscribers
Avg views / post
515
1 post measured
Reaction rate
0.971%
reactions ÷ views · ER floor
Posts in window
1
of 20 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
Window
Rolling 30 days · latest post in window 20 July 2026
Posts held
20 (1 September 2025 – 20 July 2026)
Views total
515
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 01:17 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
Photos
41
Videos
15
Links
36
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
36 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
28
77.8%
❤🔥
4
11.1%
🎉
4
11.1%
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 9 of the 20 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 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 September 2025 to 20 July 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RAFF_Tehran. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 1 September 2025 to 20 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
دانشکده فنی فومن دانشگاه تهران برگزار مینماید:
رباتیک و هوش مصنوعی؛ گذشته، حال و آینده، با نگاهی به نیازها و فرصتهای استان گیلان
ارائه دهنده: دکتر مهدی طالع ماسوله
عضو هیات علمی دانشکده مهندسی برق و کامپیوتر دانشگاه تهران، موسس و مدیر آزمایشگاه تعامل انسان و ربات
هوش مصنوعی و رباتیک دیگر فناوریهای آینده نیستند؛ امروز در حال تغییر شیوه زندگی، صنعت، آموزش و کسبوکار ما هستند.
در این ارائه درباره موضوعات زیر گفتگ…
🎓 سمینار تخصصی دانشجویی
هوش مصنوعی: تهدید، فرصت یا توهم؟
🎙 سخنران:
آقای محمد فاطمینیا
فارغالتحصیل کارشناسی مهندسی کامپیوتر از دانشکده فنی فومن
CTO و بنیانگذار استارتاپهای تکنولوژی
بیش از ۱۰ سال تجربه واقعی در صنعت و استارتاپ
فعال در حوزههای هوش مصنوعی، بلاکچین و واقعیت مجازی
منتور مسیر شغلی دانشجویان و توسعهدهندگان
🧠 در این سمینار میشنوید:
آیا هوش مصنوعی شغلها را از بین میبرد یا میسازد؟
دانشجوها چطور میتوا…
پاییز هزار رنگ میرود
و زمستان سپید رنگ از راه میرسد
و در این میان شبی است بلند
به بلندای یک فرهنگ
آئینی رنگارنگ به سان پاییز
و درونمایهای سپید به رنگ زمستان
باور به نور و روشنایی است،
که شام تیره، از دل شب یلدا
جشن مهر و روشنایی به ما هدیه میدهد
یلدایتان مبارک❤️🌹
💙 انجمن علمی مهندسی کامپیوتر دانشکده فومن با افتخار برگزار میکند:
✨ کارگاه آموزشی لینکدین
یک قدم واقعی به سمت بازار کار و ساختن برند شخصی
تو این کارگاه یاد میگیری:
یه پروفایل لینکدین خفن بسازی و اشکالاتش رو برطرف کنی
دیده بشی و فرصتهای شغلی بهتری برات ایجاد بشه
ارتباطات مؤثر در حوزه تخصصیات بسازی
با مسیر درست ورود به بازار کار آشنا بشی
👨🏫 مدرس: ایلیا باغجری
⭐ جزو ۹٪ برتر متخصصین لینکدین در دنیا
🏆 رتبه ۴۲ ایر…
برنامهنویسی که مثل راکستار ها زندگی کرد،جان مک آفی
هوش سیاه، برنامه نویس نابغه، قاتل، خالق اولین 🕵♂آنتی ویروس جهان
اگه دوست داری داستان هیجان انگیز چنین پدیدهای رو بشنوی، آماده شو برای این داستان جنایی🩸، یه بیوگرافی جذاب🧛♂
اولین قسمت پادکست بیت منتشر شد 📼👁
نشریه بیت | انجمن علمی کامپیوتر
تازه وارد دانشگاه شدی و سوال داری؟🧐
میخوای با تموم جزئیات انتخاب واحد و درسهایی که باید پاس کنی رو یاد بگیری؟👩🎓
میخوای شرایط دانشجوی ساعی و کوشارو درست بفهمی؟👨🎓
میخوای مسئولهای مهم دانشگاه که باهاشون کار داری رو بشناسی؟🕵
خبر خوب اینه که همه اینارو، یکجا بچهای نشریه بیت واست کامل و جامع در قالب ویژهنامه نوورودی، آماده کردن⚡️
میتونی از این پایین دانلودش کنی و تا آخر کارشناسی به عنوان راهنما نگهش داری🥳
نشریه بیت، اولین نشریه دانشجویی دانشکده فنی فومن با همکاری انجمن علمی کامپیوتر، تقدیم میکند. برای اولین بار افتخار داشتیم که این شماره مخصوص از نشریه بیت را چاپ کرده و خدمت شما عزیزان تازه ورود دانشگاه ارائه نماییم.
با تشکر از تمامی عزیزانی که ما را در ساخت و چاپ این شماره از نشریه، یاری نمودند.
نشریه بیت | انجمن علمی کامپیوتر
🌟 منتظر دیدار شما نوورودیهای عزیز ۴۰۴ هستیم!
خوشحالیم که در این آیین آغازین کنار شما خواهیم بود و امیدواریم بتونیم شروع مسیر دانشگاهیتون رو به خاطرهای قشنگتر تبدیل کنیم.
منتظر گفتوگو، آشنایی بیشتر و شروع یک مسیر پرهیجان با شما هستیم. 🤝✨
آیین نو ورودی مهندسی کامپیوتر 🔝
دانشجویان عزیز ۴۰۴ خوشحال میشیم افتخار بدید تا به آغاز مسیر دانشگاهیتون یک خاطره قشنگ اضافه کنیم.✨
سهشنبه ۴ آذر ماه
🕠 ساعت ۵:۳۰ عصر
📍سالن سمعی بصری(آمفی تئاتر)
با کلی صحبت های مفید،پذیرایی و اهدای یادبود.
از تمامی دانشجویان سایر رشته ها دعوت به عمل میاد.
Showing the 12 most recent of 20 posts we hold for @RAFF_Tehran. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن رباتیک و هوش مصنوعی دانشکده فنی فومن” (@RAFF_Tehran), 67 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/RAFF_Tehran.
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.