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.
4 measurements spanning 3 days, net -2. 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 1,526–1,528 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 10:08
1,526
-1
6 Aug 2026, 11:41
1,527
-1
6 Aug 2026, 07:35
1,528
no change
5 Aug 2026, 23:27
1,528
first reading
Engagement
20 posts held, back to 23 February 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 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
86.9%
avg views ÷ 1,526 subscribers
Avg views / post
1,330
5 posts measured
Reaction rate
0.585%
reactions ÷ views · ER floor
Posts in window
5
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. It is computed over the 4 of 5 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 3 August 2026
Posts held
20 (23 February 2026 – 3 August 2026)
Views total
6,627
Reactions total
21
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:09 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
Video runtime
3m 55s
Average length
1m 58s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
57 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 75.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
43
75.4%
🤔
6
10.5%
👌
3
5.26%
👍
3
5.26%
💔
1
1.75%
🤩
1
1.75%
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 15 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 57reactions 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 23 February 2026 to 3 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.
🌀پاسخ به پرسشهای متداول در مورد رشته کارشناسی طراحی و تولید بازیهای رایانهای
✅بعد از سالها پیگیری دانشگاه اصفهان، سرانجام سرفصل رشته کارشناسی طراحی و تولید بازیهای رایانهای که با راهبری این دانشگاه و همکاری اعضاء هیأت علمی دانشگاههای مختلف و نیز خبرگان صنعت بازیسازی و با حمایت بنیاد ملی بازیهای رایانهای تدوین شده بود، توسط شورای عالی انقلاب فرهنگی و وزارت علوم تصویب شد و دانشگاههای متقاضی میتوانند برای ا…
🎮 نشست تخصصی توسعهدهندگان Unity
این رویداد از سوی شرکت Unity برای تمامی فعالان حوزه بازیسازی با این پلتفرم برگزار میشود؛ از برنامهنویسان و هنرمندان تا مدیران استودیوها. در این گردهمایی، فرصتی برای تبادل تجربیات و چالشها و همچنین آشنایی با افراد جدید فراهم خواهد شد. 🚀
نحوه شرکت (انجام هر دو مرحله الزامی است):
1️⃣ ثبتنام در وبسایت آبیسفید
Blwh.ir/unity
2️⃣ عضویت در گروه Meetup و انتخاب گزینه Attend
https:…
☄️تنها چند روز زمان باقیست!
☀️ دورههای تابستانی مرکز نوآوری صنایع سرگرمی دانشگاه اصفهان
♨️شروع از ۱۰ مرداد ۱۴۰۵
🗓 اعطای گواهی معتبر به زبان انگلیسی
🎁 تخفیف ویژه برای دانشجویان و دانشآموزان
ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ
📆یکشنبهها و سهشنبهها
🎥دوره تصویرسازی و تولید ویدیو با AI
📟دوره اتوماسیون بازاریابی با n8n و AI
اطلاعات تکمیلی و ثبتنام:
📞 ۰۹۱۳۱۶۵۷…
✅ رشته بازیهای رایانهای دستاوردی ملی از دانشگاه اصفهان برای صنعت بازی کشور
🔸رونمایی از رشته کارشناسی طراحی و تولید بازیهای رایانهای با حضور حجتالاسلام خسروپناه دبیر شورای عالی انقلاب فرهنگی، مسئولین عالیرتبه استان و رؤسای دانشگاههای استان روز چهارشنبه ۲۴ تیر ۱۴۰۵ به میزبانی دانشگاه اصفهان برگزار شد.
🔹به گزارش پایگاه خبری دانشگاه ، حجتالاسلام خسروپناه، دبیر شورای عالی انقلاب فرهنگی، در مراسم رونمایی از رشته …
🎨 تابستان ۱۴۰۵، از ایده تا تصویر و ویدیوی حرفهای با هوش مصنوعی!
✅ دوره تصویرسازی و تولید ویدیو با AI
📌 مناسب برای تولیدکنندگان محتوا، ادمینهای شبکههای اجتماعی، فریلنسرها، صاحبان کسبوکار و علاقهمندان به تولید محتوای تبلیغاتی
🧠 با تمرکز بر خروجی واقعی، قابل استفاده و قابل ارائه به مشتری
📅 شروع دوره: ۱۰ مرداد
🗓 روزهای برگزاری: یکشنبه و سهشنبه
⏰ ساعت: ۱۱ تا ۱۳
📍 مرکز نوآوری صنایع سرگرمی دانشگاه اصفهان
🎓 دوره حضور…
🚀 تابستان ۱۴۰۵ را با ساخت یک سیستم واقعی اتوماسیون بازاریابی شروع کنید!
✅ دوره اتوماسیون بازاریابی با n8n و AI
📌 مناسب برای مدیران شبکههای اجتماعی، دیجیتالمارکترها، فریلنسرها، کارشناسان فروش و CRM و صاحبان کسبوکار
🧠 با تمرکز بر کاربردهای واقعی هوش مصنوعی در بازاریابی و مدیریت مشتری
📅 شروع دوره: ۱۰ مرداد
🗓 روزهای برگزاری: یکشنبه و سهشنبه
⏰ ساعت: ۹ تا ۱۱
📍 مرکز نوآوری صنایع سرگرمی دانشگاه اصفهان
🎓 دوره حضوری و پروژ…
🌞 تابستان ۱۴۰۵ در مرکز نوآوری صنایع سرگرمی دانشگاه اصفهان؛ با دو دوره حضوری و پروژهمحور در حوزه هوش مصنوعی و مهارتهای بازار کار!
✅ دوره ۱: اتوماسیون بازاریابی با n8n و AI
برای یادگیری مدیریت لید، دایرکت، پیگیری خودکار مشتری، اتصال ابزارها و گزارشگیری هوشمند.
⏰ زمان برگزاری: یکشنبه و سهشنبه، ساعت ۹ تا ۱۱
📅 شروع: ۱۰ مرداد
✅ دوره ۲: تصویرسازی و تولید ویدیو با AI
برای یادگیری پرامپتنویسی، ساخت تصویر تبلیغاتی، تول…
🌀 دهمین دوره بازیسازی عملی با موتور یونیتی
🔑موتور بازیسازی یونیتی، محبوبترین ساخت ابزار بازیهای موبایل و PC و کنسول و واقعیت مجازی و واقعیت افزوده و واقعیت ترکیبی و ... است. اگر #C میدانید و به این حوزه جذاب و درآمدزا علاقمند هستید، این دوره را از دست ندهید.
🧑🏻💻مدرس دوره امیرحسین علیشاهیان برنامهنویس، طراح بازی و فعال حوزه فناوری، با بیش از ۸ سال تجربه در صنعت بازیسازی و توسعه نرمافزار است.
🗓 با اعطای گوا…
🎨 هشتمین دورهی نقاشی و تصویرسازی دیجیتال
🖋 برای کسانی که طراحی پایه میدانند و میخواهند نقاشی دیجیتال و تصویرسازی برای طراحی بازی و انیمیشن و مهارتهای گرافیک کامپیوتری را بیاموزند.
👩🎨 مدرس: محمدرضا قربانی؛ نقاش، گرافیست، انیماتور، تصویرساز، نویسنده و کارگردان انیمیشن
🗓 با اعطای گواهی معتبر به زبان انگلیسی
🎁 با تخفیف ویژه برای دانشجویان و دانشآموزان
♨️ جزییات بیشتر و ثبتنام در
https://events.uicvgame.ir/dp1…
🌞 تابستان داغ ۱۴۰۵ در مرکز نوآوری صنایع سرگرمی دانشگاه اصفهان!
🌟یک تابستان جذاب پر از هیجان و تجربههای جدید و یادگیری؛ با نگاهی ویژه به کاربردهای هوش مصنوعی در بازیسازی
✅ هشتمین دوره نقاشی و تصویرسازی دیجیتال (۱۰ جلسه - ۱۰ مرداد تا ۹ شهریور شنبهها و دوشنبهها ساعت ۸:۳۰ تا ۱۱:۳۰ - نیازمند آشنایی با طراحی پایه)
✅ دهمین دوره بازیسازی با یونیتی (۱۰ جلسه - ۱۰ مرداد تا ۹ شهریور شنبهها و دوشنبهها ساعت ۱۱:۳۰ تا ۱۳:…
اطلاعیه مهم دبیرخانه هشتمین کنفرانس بینالمللی «بازیهای رایانهای؛ فرصتها و چالشها» در مورد تاریخ برگزاری کنفرانس، مهلت ارسال مقالات و بخش ویژه استعدادهای نوپا
برای مطالعه اطلاعیه اینجا را کلیک کنید.
🩸اطلاعات بیشتر در کانال تلگرام و صفحه اینستاگرام کنفرانس
📞دسترسی سریع: ۰۹۱۳۲۰۴۷۳۰۷
💡چراغ پژوهش گیم را روشن نگه میداریم...
Showing the 12 most recent of 20 posts we hold for @uicvgame. 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 — 24,797 of 1,336,469entries 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.
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 8 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.
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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“🔐 مرکز بازیهای رایانهای دانشگاه اصفهان” (@uicvgame), 1,526 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/uicvgame.
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.