4 measurements spanning 4 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 1,229–1,231 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 23:54
1,231
+1
7 Aug 2026, 16:55
1,230
+1
6 Aug 2026, 17:17
1,229
no change
6 Aug 2026, 17:08
1,229
first reading
Engagement
18 posts held, back to 20 December 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
17.7%
avg views ÷ 1,231 subscribers
Avg views / post
218
2 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
2
of 18 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 4 August 2026
Posts held
18 (20 December 2025 – 4 August 2026)
Views total
435
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 17:17 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.
Reaction mix
59 reactions across 12 posts, in 11 distinct kinds. The most used accounts for 61.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
36
61.0%
🔥
5
8.47%
👌
4
6.78%
🙏
4
6.78%
💯
2
3.39%
😍
2
3.39%
🦄
2
3.39%
👍
1
1.69%
👎
1
1.69%
👾
1
1.69%
😨
1
1.69%
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 14 of the 18 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 59reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 20 December 2025 to 4 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.
مهارتهای کامپیوتری (ICDL) را حرفهای بیاموزید! 🚀💻
📣 انجمن علمی دانشجویی مهندسی انرژی دانشگاه صنعتی شریف (پایا) با همکاری انجمنهای علمی برتر کشور برگزار میکند:
🎯💻 دوره جامع مهارتهای رایانهای (ICDL کاربردی)
🔘کار با Windows 8/10/11
🔘مفاهیم فناوری اطلاعات
🔘اینترنت و ارتباطات
🔘مایکروسافت آفیس Word
🔘مایکروسافت آفیس Power Point
🔘مایکروسافت آفیس Excel
🔘مایکروسافت آفیس Access
👤مدرس:
جناب آقای مهندس حمیدرضا عطااللهی
💥…
🔹انجمن علمی دانشکدهی مهندسی پلیمر و رنگ امیرکبیر با همکاری آکادمی رهوان برگزار میکند:
🔷کارگاه آموزشی پرینت سهبعدی با پرینتر چند رنگ🔷
سرفصل ها :
مقدمهای کاربردی بر پرینت سهبعدی و عملکرد پرینترها
شناخت فیلامنتها و انتخاب ماده مناسب برای کاربردهای مختلف
راهاندازی، کالیبراسیون و تنظیمات اولیه پرینتر سهبعدی
مدلسازی پایه و آشنایی با فرمتهای استاندارد پرینت سهبعدی
آمادهسازی فایل، تنظیمات چاپ و بهینهسازی کیفی…
📣دومین رویداد ملی AUT THINK
اداره انجمن های علمی دانشجویی دانشگاه صنعتی امیرکبیر برگزار می کند.
دومین رویداد ملی AUT THINK با همراهی صنایع مختلف کشور، از طرح های نوآورانه با قابلیت تجاری سازی، در موضوعات اولویت دار زیر، تا سقف 600 میلیون تومان برای هر طرح حمایت می نماید.
هدف اصلی این رویداد، ایجاد پیوند مستقیم بین چالشهای واقعی صنایع و ظرفیتهای ایدهپردازی و پژوهشی دانشجویان و اساتید دانشگاههای برتر کشور می باش…
فرش ؛ چیزی که به تار و پود اصالت ما گره خورده .
فرش ؛ عشق و علاقه ای که در لا به لای رنگ های زندگی هامون نقش بسته .
فرش ؛ همون چیزی که نماد یک تمدنه و همون چیزی که جلوهگر یک شکوهه .
۲۰ خرداد ؛ روز ملی فرش بر تمام علاقه مندان اصالت و هنر ایران فرخنده باد
#روز_فرش
#صنعت_فرش
#تولید_فرش
#انجمن_علمی_مهندسی_نساجی
#صدای_صنعت
کانال انجمن علمی دانشکده مهندسی نساجی
https://t.me/AUTextile
🎙️ به مناسبت روز فرش؛ صدایِ کسانی که فرش را از دل کارخانه و کارگاه بیرون میآورند.
در این مصاحبهی اختصاصی انجمن علمی مهندسی نساجی دانشگاه امیرکبیر، پای صحبتِ صاحبان صنایع فرش نشستهایم؛ همانهایی که هر روز با تار و پود، مواد اولیه، ماشینآلات، نیروی انسانی، بازار و چالشهای واقعی تولید سروکار دارند.
اما در کنار تمام سختیها، از عشق به این صنعت هم گفتند. از روزهایی که نقشهای تبدیل به فرش میشود و فرشی که راهی خانه…
پلیکورسیوم و انجمنهای علمی دانشگاه صنعتی امیرکبیر برگزار میکنند✨🍀
🐍 دوره برنامهنویسی پایتون
📌 ویژه امتحانات دانشگاهی
🖥 سرفصلهای دوره
📊 ساختمانهای داده در پایتون (لیست، تاپل، دیکشنری، ست)
🔤 نگاه عمیق به رشتهها (Strings)
📁 کار با فایلها در پایتون
🎙 مدرس: صدرا آزادی
دانشآموخته مهندسی انرژی – دانشگاه صنعتی امیرکبیر
این دوره با تمرکز بر پوشش کامل مطالب پایانترم
و حل نمونهسؤالات امتحانی ترمهای اخیر
طراحی شده…
پلیکورسیوم و انجمنهای علمی دانشگاه صنعتی امیرکبیر برگزار میکنند🌿✨️
📊 دوره آمار و احتمال مهندسی
📌 مرور مفهومی ✍️ | آمادگی امتحان پایانترم 🎯
🔍 در این دوره چه میآموزید؟
📘 درک مفاهیم پایه آمار و احتمال بهصورت کاربردی
📈 تسلط بر مباحث پرتکرار امتحانی
🧮 تحلیل و حل گامبهگام مسائل دانشگاهی
📝 آشنایی با روشهای استاندارد حل سؤال در امتحان
🎙 مدرس: محمدرضا دباغ
🎓 دانشآموخته علوم کامپیوتر
🏛 دانشگاه صنعتی امیرکبیر (پلی…
انجمن علمی دانشکده نساجی برگزار می کند:
دوره آموزشی رقم بندی و تفسیر آزمون HVI الیاف پنبه
مدرس : سرکار خانم دکتر بادین دهش
رزومه استاد دوره :
دکترای مهندسی نساجی تکنولوژی نساجی دانشگاه صنعتی امیرکبیر از 1398 تا 1403
دانشجوی ممتاز دو رشته ای در رشته مهندسی صنایع
استاد مدعو دانشکده مهندسی نساجی و استاد راهنما دوم پروژه های کارشناسی دانشگاه صنعتی امیرکبیر و بنیاد علمی نخبگان
عضو انجمن آموزش مهندسی ایران
داور علمی…
🔸انجمن علمی دانشکده مهندسی نساجی برگزار میکند:
🎤رویداد AUT Textile Talk با حضور آقای مسعود بیگدلی مدیر عامل برند پوشاک بازلی
📆 روز: سه شنبه؛ ۹ دی ماه ۱۴۰۴
⏰ زمان گفتگو: ساعت ۱۶ الی ۱۸
📍مکان: دانشکده مهندسی نساجی دانشگاه صنعتی امیرکبیر
جهت ثبت نام اسم و شماره دانشجویی خود را به آیدی زیر ارسال نمایید
@K_salahjoo
اولویت بازدیدهای آتی با شرکتکنندگان در رویدادها میباشد
انجمن علمی دانشکده مهندسی نساجی
🆔@AUTextile
❤5💯1
Showing the 12 most recent of 18 posts we hold for @AUTextile. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@AUTextile named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@admin_sao named in 1 post, 8 August 2026 – 8 August 2026
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 علمی نساجی امیرکبیر” (@AUTextile), 1,231 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/AUTextile.
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.