4 measurements spanning 6 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 1,262–1,268 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 22:38
1,265
+2
10 Aug 2026, 16:42
1,263
-4
7 Aug 2026, 22:48
1,267
no change
7 Aug 2026, 19:38
1,267
first reading
Engagement
20 posts held, back to 9 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
79.5%
avg views ÷ 1,265 subscribers
Avg views / post
1,010
3 posts measured
Reaction rate
0.331%
reactions ÷ views · ER floor
Posts in window
3
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 7 August 2026
Posts held
20 (9 September 2025 – 7 August 2026)
Views total
3,017
Reactions total
10
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 22:48 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
55 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 56.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
31
56.4%
💔
15
27.3%
👎
3
5.45%
🔥
3
5.45%
👍
2
3.64%
👏
1
1.82%
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 12 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 55reactions 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 9 September 2025 to 7 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.
📚 یه خواهش از همه بچههای دانشگاه
از همون روز اول هدف این کانال فقط جمع کردن نمونهسؤال نبود؛ دوست داشتم یه جایی باشه که هر دانشجویی، هر ترمی که وارد دانشگاه میشه، مجبور نباشه دوباره از صفر دنبال جزوه، نمونهسؤال یا منابع بگرده.
الان داریم سایت رو با یه هدف بزرگتر توسعه میدیم؛ اینکه این آرشیو فقط متعلق به ما نباشه و بعد از فارغالتحصیلیمون هم زنده بمونه.
بهزودی قابلیتی به سایت اضافه میکنیم که هر دانشجو بتونه…
🧑🎓🔥 ربات نظرسنجی اساتید 🔥👋
👉 @IUTOstadBot
📣 حالا که پایانترمها تموم شدن و نمرات نهایی کمکم دارن اعلام میشن، بهترین زمان برای ثبت نظرت درباره اساتیده!
📚 با این ربات میتونین تجربههاتون از درسها و اساتید مختلف رو به اشتراک بذارین. اینطوری موقع انتخاب واحد، با یه جستجوی ساده میتونین نظرات و اطلاعات مربوط به هر استاد و درس رو یکجا پیدا کنین و بخونین.
💠 تا الان بیش از ۸۰۰ نظر توی ربات ثبت شده و ا…
سوالات متداول:
1. درس مورد نظرم رو نمیتونم پیدا کنم!:
برای سرچ کردن اسم درس باید ابتدا از دانشکده انتخابی مطمئن باشید، و برای وارد کردن اسم درس تنها کافیست حداقل 3 حرف از اسم (یا کد درس) درس را تایپ و ارسال کنید. (مثال: «دیف» برای درس «معادلات دیفرانسیل» و «عامل» برای درس «سیستمهای عامل 1»)
2. استاد مورد نظرم رو نمیتونم پیدا کنم!:
همانند راه حل بالا تنها کافیست بخشی از اسم یا کد استادی را وارد کنید. (مثال: «رضا» بر…
#درخواستی
دکتر دلدار (نظریه زبان، توسعه امن)
دکتر بقولی زاده (مهندسی نرم 1 و 2، آزمون نرم افزار)
دکتر آقایی (مبانی فناوری اطلاعات)
دکتر زالی (مبانی رایانش ابری)
دکتر فولادگر (برنامه سازی پیشرفته)
نظرسنجی اساتید صنعتی اصفهان pinned «سلام به همگی میدونم که هنوز همه نمراتتون نیومدن، ولی خب در رابطه با هرکدوم دروس و اساتیدی که نمرشون اومده اگه میشه نظراتتون رو توی ربات ثبت کنین، که باقی دوستان اگه نیازی دیدن به تغییر برنامه انجامش بدن https://t.me/IUTOstadBot?start=start متاسفانه نظرات…»
سلام به همگی
میدونم که هنوز همه نمراتتون نیومدن، ولی خب در رابطه با هرکدوم دروس و اساتیدی که نمرشون اومده اگه میشه نظراتتون رو توی ربات ثبت کنین، که باقی دوستان اگه نیازی دیدن به تغییر برنامه انجامش بدن
https://t.me/IUTOstadBot?start=start
متاسفانه نظرات ثبت شده توی ربات خیلی متمرکز هستن روی یک سری اساتید خاص. و برخی اساتید به خصوص اساتیدی که به تازگی شروع کردن هیچ نظری ازشون نیست.
ممنون از همگیتون
یه آپدیتی از این آمار داشته باشیم
تا الان بیش از 600 تا نظر ثبت شده داشتیم
و همچنان ازتون خواهش داریم که اگه این ترم نمرات درساتون اومده یکم از وقتتونو بزارین و تجربیاتتون رو به اشتراک بزارین با بقیه دوستان (ترجیحا با توضیحات اضافه)
هر ثبت نظر خیلی هم وقتتونو نمیگیره
محبوبترین اساتید طبق نظرات شما:
1. محمدرضا باتوانی | تربیت بدنی | با میانگین (10 از 10) | 6 نظر
2. سعید همتیها | مرکز معارف …
❤8👎1
Showing the 12 most recent of 20 posts we hold for @lutOstad. 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“نظرسنجی اساتید صنعتی اصفهان” (@lutOstad), 1,265 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/lutOstad.
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.
