3 measurements taken within a single day, net +1. 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 806–807 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 11:37
807
+1
6 Aug 2026, 15:22
806
no change
6 Aug 2026, 12:23
806
first reading
Engagement
16 posts held, back to 29 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
23.3%
avg views ÷ 807 subscribers
Avg views / post
188
11 posts measured
Reaction rate
0.573%
reactions ÷ views · ER floor
Posts in window
11
of 16 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 2 of 11 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 6 August 2026
Posts held
16 (29 December 2025 – 6 August 2026)
Views total
2,072
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 15:22 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
21 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 81.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17
81.0%
😁
3
14.3%
👍
1
4.76%
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 4 of the 16 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 29 December 2025 to 6 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.
🔷 انجمن علمی مهندسی متالورژی و مواد دانشگاه تهران برگزار میکند. 🔷
📖 دورهی مجازی آموزش مهارتهای ICDL
👨🏫 مدرس:
جناب آقای مهندس سید علی سیدیفر
📆 زمان شروع برگزاری دوره:
۱ شهریور ۱۴۰۵
📃 تعداد جلسات روی پوستر ذکر شده است.
💳 هزینه ثبتنام دوره:
🔵 برای دانشجویان دانشگاه تهران:
۶۵۰ هزار تومان
⚪️ برای سایر دانشگاهها:
۷۵۰ هزار تومان
🟠 ثبتنام آزاد:
۱ میلیون و ۲۰۰ هزار تومان
‼️ ظرفیت محدود ‼️
✅ گواهینامه دو زبان…
⚙آریو نوآوران سیمرغ
ـــــــــــــــــــــــــــــــــــــــــــــ
🎗گروه آموزشی آریو نو برگزار می کند :
ــــــــــــــــــــــــــــــــــــــــــــ
مسیر تخصصی آباکوس مرحله 1
🔵 آباکوس مقدماتی 🟡
ــــــــــــــــــــــــــــــــــــــــــــ
مهندس محمد کرد تمینی
📍مدرس دوره های آباکوس
📍 کارشناسی ارشد مهندسی و علم مواد دانشگاه شریف
ـــــــــــــــــــــــــــــــــــــــــــ
24 ساعت آموزش⏱
📘سر فصل ها
ــــــــــــــــــ…
🎺 فرصت استثنایی برای دانشجویان 🎓
🏫 دانشگاه علوم پزشکی ایران با همکاری استارتاپ دکتر مجوکیشن برگزار میکند
🤖 مدرسه مهارت آموزی هوش مصنوعی
✅ این دوره سکوی حرکت و جهش شما به دنیاست
✅ اینجا خودت مهندس هوش مصنوعی میشی
✅ مسیر، تجربه و مهارت رو با هم یاد میگیری
✅ از مبانی تا کاربرد صنعتی رو بهت یاد میدیم
🧑🏫👩🏫با تدریس و آموزش نخبگان و اساتید بالینی، فنی و مهندسی کشور
📌 با صدور سرتیفیکیت معتبر انگلیسی 📜
📍 Online &…
📊 آموزش صفر تا صد SPSS برای پژوهشگران + سرتیفیکت انگلیسی!
🔸ارائه فایل ویدیویی ضبط شده
🔸بیش از 9 ساعت آموزش
🔸ارائه سرتیفیکیت انگلیسی قابل استعلام
🔸دسترسی نامحدود و امکان دانلود
🔸پاسخ به تمام سوالات و اشکالات شما
🔸تضمین بازگشت وجه درصورت نارضایتی 💸
💰 هزینهی ثبتنام:
739/000 تومان
⌛️به مدت محدود با کدتخفیف kc89 فقط با پرداخت 89/000 تومان ثبتنام کنید.
🎁 کدتخفیف ویژه ثبتنام:
✅ kc89
🎓 به شرکت کنندگان این دوره، گواه…
❗️آخرین مهلت ثبت نام ❗️
📝وبینار آشنایی با نقاط کوانتومی، روش های سنتز و کاربرد های راهبردی آن
👩🏫مدرس : جناب آقای مهندس عرفان محمد زاده
🗓تاریخ : جمعه ۹ مرداد ۱۴۰۵
📌مکان: اسکای روم
⏰ساعت :۱۶الی۱۸
✅لینک شرکت جلسه در کانال قرار میگرد.
💸هزینه ثبت نام صدرصد رایگان
💡علاقه مندان جهت ثبت نام به آیدی زیر مراجعه نمایند:
@AD_institution1403
🌸لینک کانال :
@institution1403
@nsa_mrgums99
دوره آموزشي جامع صفر تا صد مقاله نویسی ISI
🔖صدور گواهي حضور معتبر به زبان انگليسي
📚سرفصل دوره مقاله نویسی ISI
1⃣آموزش گام به گام مقاله نویسی
2⃣آموزش روش تحقیق و موتورهای جستوجوگر پژوهشی
3⃣تدریس تخصصی مباحث ویرایشی، نگارشی و ساختاری مقاله
4⃣شاخصهای کیفی مجلات
5⃣اصطلاحات رایج در چاپ مقاله
6⃣فرایند ارسال مقاله تا پذیرش نهایی
7⃣نحوه پاسخگویی به سوالات و پیشنهادهای داوران
👨🏫مدرس دوره
👤دکتر علی زین العابدین بیگی
✔️…
تدریس شیمی فیزیک و ترمودینامیک کنکور ارشد و دکتری مهندسی مواد
مدرس: امیرحسین نویدپور
تحصیلات
پسا دکتری: دانشگاه صنعتی شریف (در حال انجام)
دکتری: University of Technology Sydney
رتبه ۸ کنکور دکتری مهندسی مواد در کنکور سراسری سازمان سنجش
کانال تلگرام:
https://t.me/BvHsFmoDhowyNzY1 <This message was edited>
ما اعضای انجمنهای علمی و دانشجویی دانشگاه شیراز، در اعتراض به سیاستهای غیر منطقی و نابخردانه مجازی شدن کلاسها که دانشجویان را از ابتدایی ترین حقوق خود محروم ساخته، این بیانیه را صادر میکنیم.
در شرایطی که هیچ دلیل مستند و قابل قبولی برای این اقدام وجود ندارد!
بدینوسیله اعلام میکنیم که اگر تصمیمات به همین روند ادامه یابد و آموزش به صورت مجازی باقی بماند، ما اعضای انجمنهای علمی و دانشجویی دانشگاه شیراز از حضور…
❤13😁3
Showing the 12 most recent of 16 posts we hold for @mseshirazu. 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 — 830,684 of 1,340,412entries 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
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
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.
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
@mseshirazu 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.
@mse_shirazu named in 2 posts, 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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی مهندسی مواد دانشگاه شیراز” (@mseshirazu), 807 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/mseshirazu.
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.
