Telegram RegisterThe public register of Telegram

Channel

SAMED

@SAMEDaut

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

4,577subscribers

+86 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001004820375
TypeChannel
Username@SAMEDaut
Created4 October 2015measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/SAMEDaut

Growth

4,4904,5774,533.55 August 2026 — 4,491 subscribers6 August 2026 — 4,491 subscribers6 August 2026 — 4,490 subscribers9 August 2026 — 4,505 subscribers12 August 2026 — 4,577 subscribers5 August 202612 August 2026
5 measurements spanning 7 days, net +86. 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 4,477–4,590 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:144,577+72
9 Aug 2026, 05:034,505+15
6 Aug 2026, 09:444,490-1
6 Aug 2026, 04:034,491no change
5 Aug 2026, 22:084,491first reading

Engagement

28 posts held, back to 16 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.1%
avg views ÷ 4,577 subscribers
Avg views / post
1,100
19 posts measured
Reaction rate
0.602%
reactions ÷ views · ER floor
Posts in window
21
of 28 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 18 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held28 (16 June 20268 August 2026)
Views total20,989
Reactions total120
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:02 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
10m 43s
Average length
3m 34s

Measured directly from 3 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

222 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 46.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💔10446.8%
5926.6%
🔥5123.0%
👍41.80%
👏31.35%
👎10.45%

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 25 of the 28 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 248reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 16 June 2026 to 8 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.

Recent posts

8 Aug 2026, 06:31 UTC441 views4 reactionsread 8 August 2026
Photo

🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برگزار می‌کند: 🎓 دوره جامع آموزشی نرم‌افزار SolidWorks (طراحی، مونتاژ، مستندسازی و آماده‌سازی یک محصول صنعتی برای ساخت) 🔧دوره در یک نگاه: 🔻آموزش کاملاً پروژه‌محور با طراحی یک محصول واقعی 🔻یادگیری SolidWorks در مسیر اجرای یک پروژه 🔻آموزش اصول مدل‌سازی استاندارد و طراحی پارامتریک 🔻آشنایی با نکات کاربردی طراحی برای ساخت در حین انجام پروژه 🔻آموزش ارتباط بین طراحی، مونتاژ

4

7 Aug 2026, 13:13 UTC711 views6 reactionsread 8 August 2026
Photo

🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برگزار می‌کند: 🎓 آموزش ANSYS Fluent 🔧 این دوره آموزشی با هدف ارتقای دانش و مهارت‌های تخصصی دانشجویان و مهندسان در زمینه شبیه‌سازی جریان سیالات و انتقال حرارت (تحلیل دینامیک سیالات محاسباتی - CFD) تدوین شده است و فرصتی مناسب جهت ورود حرفه‌ای به پروژه‌های مهندسی انرژی و سیالات محسوب می‌گردد. 🧑‍🏫 مدرس: امیدرضا کاظمی ⏳ مدت دوره: ۲۰ ساعت آموزشی 📅 زمان برگزاری: دوشنبه ها

6

6 Aug 2026, 16:33 UTC≈1,110 views8 reactionsread 8 August 2026
Photo

🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برای اولین بار برگزار می‌کند: 🎓 دوره جامع آموزش شبیه‌سازی فیزیکی با نرم‌افزار MuJoCo (Physics Engine) 🔧موجوکو یک ابزار پیشرفته برای مدل‌سازی دقیق و سریع فیزیک دنیای واقعی می‌باشد. موجوکو یک شبیه‌ساز فیزیکی است که با آن می‌توان طیف وسیعی از سیستم‌های دینامیکی و رباتیکی را شبیه‌سازی و کنترل کرد. این دوره با تمرکز بر مدل‌سازی و مروری بر کنترل به شما این امکان را می‌دهد

8

6 Aug 2026, 12:33 UTC≈1,640 views5 reactionsread 8 August 2026
Photo

🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برگزار می‌کند: 🎓 دوره جامع آموزش MSC Adams 🔧تحلیل دقیق حرکت و استخراج نیروهای دینامیکی، دغدغه اصلی طراحان سیستم‌های مکانیکی است. نرم‌افزار ADAMS با فراهم کردن امکان شبیه‌سازی دقیق و کاهش هزینه‌های نمونه‌سازی فیزیکی، جایگاه ویژه‌ای در صنعت مهندسی دارد. در این دوره، با رویکردی کاملاً مکانیکی و پروژه‌محور، به شما آموزش می‌دهیم که چگونه از این ابزار قدرتمند برای شبیه‌سا

5

6 Aug 2026, 10:11 UTC903 views2 reactionsread 8 August 2026
Video

🎓معرفی دوره آموزشی GD&T ۱۰ ساعت آموزش پروژه‌محور با دکتر ظریف پور 📅 شروع: ۵ شهریور ⏰ پنج‌شنبه ها، ۱۱ تا ۱۳ 🌐 مجازی + مدرک رسمی انجمن علمی دانشگاه صنعتی امیرکبیر 💥 تخفیف‌ ویژه دانشجویان و ثبت‌نام گروهی 📩 اطلاعات بیشتر: 🔗@samed_admin1 علمی بمانید...✨ @SAMEDaut l انجمن مهندسی مکانیک دانشگاه امیر کبیر

🔥2

6 Aug 2026, 07:30 UTC932 views2 reactionsread 8 August 2026
Photo

🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برگزار می‌کند: 🎓 آموزش ورکشاپ GD&T می‌خوای اصول استانداردهای صنعتی برای تلرانس‌گذاری و طراحی نقشه‌های دقیق رو یاد بگیری؟ 🔧 این دوره، پایه و اساس نقشه‌خوانی صنعتی پیشرفته رو بهت یاد میده! 🧑‍🏫 مدرس: دیوید ظریف‌پور ⏳ مدت دوره: ۱۰ ساعت آموزشی 📅 زمان برگزاری: پنجشنبه‌ها، ساعت ۱۱ تا ۱۳ 🌐 کاملاً مجازی – با دسترسی آسان از سراسر کشور 📍 شروع دوره: ۵ شهریور 🎥 مشاهده ویدیو معرف

🔥2

5 Aug 2026, 16:15 UTC935 views7 reactionsread 8 August 2026
File

🎓 سرفصل دوره آموزشی متلب ۲۴ ساعت آموزش پروژه‌محور با مهندس فراهانی 📅 شروع: ۱ شهریور ⏰ یکشنبه و جمعه ها، ۱۵ تا ۱۸ 🌐 مجازی + مدرک رسمی انجمن علمی دانشگاه صنعتی امیرکبیر 💥 تخفیف‌ ویژه دانشجویان و ثبت‌نام گروهی 📩 اطلاعات بیشتر: @SAMED_admin1 علمی بمانید...✨ @SAMEDaut l انجمن مهندسی مکانیک دانشگاه امیر کبیر

🔥6💔1

5 Aug 2026, 15:00 UTC≈1,060 views10 reactionsread 8 August 2026
Photo

🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برگزار می‌کند: 🎓 دوره آموزش متلب ⚙️ ویژگی متمایز دوره: در طراحی این دوره سعی شده است تا آموزش‌ها با رویکرد مهندسی مکانیک ارائه گردند. حل مثال‌های کاربردی و مکانیکی در طول جلسات، این امکان را برای شما فراهم می‌آورد تا بتوانید از مهارت‌های کسب‌شده به صورت مستقیم در پیشبرد پروژه‌های درسی، تحقیقاتی و صنعتی خود بهره‌مند شوید. 🧑‍🏫 مدرس: مهندس آرین فراهانی ⏳ مدت دوره: ۲۴

🔥9💔1

5 Aug 2026, 12:00 UTC927 views6 reactionsread 8 August 2026
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🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برای اولین بار برگزار می‌کند: 🎓 دوره تخصصی سابروتین‌نویسی به زبان فرترن در نرم‌افزار ABAQUS آیا قصد دارید محدودیت‌های مدل‌سازی پیش‌فرض در آباکوس را پشت سر بگذارید و رفتارهای پیچیده مواد، بارگذاری‌ها یا شرایط مرزی خاص را بهینه‌سازی و شبیه‌سازی کنید؟ 🔧این دوره تخصصی، مسیر تسلط شما بر سابروتین‌نویسی (Subroutine) به کمک زبان برنامه‌نویسی Fortran را به صورت جامع هموار می‌

🔥41👍1

5 Aug 2026, 10:49 UTC823 views5 reactionsread 8 August 2026
Video

🎓معرفی دوره آموزشی نرم‌افزار Geomagic Control X (بازرسی سه‌بعدی و کنترل کیفیت) 10 ساعت آموزش پروژه‌محور با دکتر ظریف پور 📅 شروع: ۵ شهریور ⏰ پنج‌شنبه ها، ۱۴ تا ۱۶ 🌐 مجازی + مدرک رسمی انجمن علمی دانشگاه صنعتی امیرکبیر 💥 تخفیف‌ ویژه دانشجویان و ثبت‌نام گروهی 📩 اطلاعات بیشتر: @SAMED_admin2 علمی بمانید...✨ @SAMEDaut l انجمن مهندسی مکانیک دانشگاه امیر کبیر

5

5 Aug 2026, 09:01 UTC905 views8 reactionsread 8 August 2026
Photo

🔵 انجمن علمی مهندسی مکانیک دانشگاه صنعتی امیرکبیر برای اولین بار برگزار می‌کند: 🎓 ورکشاپ آموزشی نرم‌افزار Geomagic Control X (بازرسی سه‌بعدی و کنترل کیفیت) آیا به دنبال یادگیری اصول بازرسی ابعادی و کنترل کیفیت سه‌بعدی قطعات صنعتی هستید؟ 🔧این دوره، مهارت‌های اساسی برای تحلیل داده‌های اسکن‌شده (ابر نقاط) و ارزیابی دقیق انطباق آن‌ها با مدل‌های مهندسی را به شما آموزش می‌دهد. 🧑‍🏫 مدرس: دیوید ظریف‌پور ⏳ مدت دوره: ۱۰ ساع

8

Showing the 12 most recent of 28 posts we hold for @SAMEDaut. 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.

Posts edited after publishing

@SAMEDaut edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 27,261 of 1,160,990entries 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

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 13 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“SAMED” (@SAMEDaut), 4,577 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/SAMEDaut.

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.