3 measurements spanning 8 days, 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 345–346 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 03:39
345
-1
7 Aug 2026, 00:16
346
no change
6 Aug 2026, 23:58
346
first reading
Engagement
19 posts held, back to 12 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
178.1%
avg views ÷ 345 subscribers
Avg views / post
615
2 posts measured
Reaction rate
0.651%
reactions ÷ views · ER floor
Posts in window
2
of 19 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 26 July 2026
Posts held
19 (12 December 2025 – 26 July 2026)
Views total
1,229
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 00:16 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
212 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 62.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
132
62.3%
🔥
30
14.2%
💯
22
10.4%
👍
19
8.96%
💔
5
2.36%
👎
3
1.42%
😁
1
0.472%
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 19 of the 19 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 212reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 12 December 2025 to 26 July 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.
#معرفی_کتاب|کتاب خاک کارخانه
عکس و معرفی کوتاه
کتاب «خاک کارخانه: پارچههای ناتمام چیتسازی بهشهر و سرگذشت آخرین کارگران»، اثر شیوا خادمی اثری مستند برای احضار روحی که روزگاری در کالبد آهنین شهر بهشهر میدمید. این کتاب نه گزارشی خشک اقتصادی درباره ورشکستگی و نه صرفا مرثیهای برای گذشته است بلکه تلنگری در زیستجهان انسانهایی که هویت، معیشت و حتی آیینهای مذهبیشان با صدای سوت کارخانه تنظیم میشد.
نویسنده با مسئله پ…
#معرفی_کتاب
«خاک کارخانه؛ پارچههای ناتمام چیتسازی بهشهر و سرگذشت آخرین کارگران»
متن کامل معرفی
«خاک کارخانه» نه یک گزارش خشک اقتصادی درباره ورشکستگی است و نه صرفاً مرثیهای برای گذشته؛ بلکه روایتی مستند و تلنگری عمیق به زیستجهان انسانهایی است که هویت و معیشتشان با صدای سوت کارخانه چیتسازی بهشهر تنظیم میشد.
نویسنده که خودش عکاس است، لنز دوربین و قلمش را از ماشینآلات زنگزده فراتر برده و بر تاریخ شفاهی و چهر…
کارآفرین رضا حمیدی، متولد اول مهر ۱۳۱۹ در شهر مشهد، با نگاهی نوآورانه و ارادهای استوار، صنعت چرم ایران را متحول ساخت.
از آغاز ساده در بازار محلی تا خلق برندی ملی
امروز چرم مشهد نمادی از کیفیت، اصالت و تعهد به تولید ایرانی است.
گروه علمی فرهنگی رویش🏴
بله | تلگرام
یکی از روشهای رایج پوششدهی الیاف با گرافن، روش Dip Coating است. در این روش، الیاف یا پارچه ابتدا تمیز و آمادهسازی میشوند، سپس در محلول یا سوسپانسیون حاوی اکسید گرافن غوطهور میگردند. پس از جذب لایه روی سطح، نمونه خشک شده و در صورت نیاز با فرایند احیا، اکسید گرافن به گرافن با رسانا بیشتر تبدیل میشود. این روش به دلیل سادگی، هزینه پایین، امکان پوشش یکنواخت و قابلیت استفاده در مقیاس آزمایشگاهی و صنعتی، بسیار مورد ت…
🔵 گرافن؛ معجزه کربنی در صنعت نساجی
گرافن با ساختار دوبعدی و خواص منحصربهفردش، در حال ایجاد انقلابی در حوزه الیاف و پارچه است. چرا باید این ماده را در نساجی جدی گرفت؟
🔹 هوشمندسازی: رسانایی الکتریکی برای ساخت منسوجات هوشمند.
🔹 ارتقای خواص مکانیکی: افزایش چشمگیر استحکام و دوام الیاف.
🔹 محافظت: خاصیت ضدباکتری قوی و دفعکنندگی اشعه UV.
🔹 مدیریت حرارتی: تنظیم بهینه دمای بدن در لباسهای ورزشی و نظامی.
ترکیب گرافن با صن…
🌙 شَهْرُ رَمَضانَ الَّذی أُنْزِلَ فیهِ الْقُرْآنُ
📌ضمن تبریک فرارسیدن ماه مبارک رمضان گروه علمی فرهنگی رویش بنا دارد تا در تاریخ ۱۷ اسفندماه در دانشکده نساجی میزبان اساتید، دانشجویان و فارغالتحصیلان دانشگاه صنعتی امیرکبیر به ویژه دانشکده نساجی در ضیافت افطاری دانشکده باشد و انشاءالله بعد این مراسم دوباره قرارگیری نکات و نساجی نوشتها و ... در کانال از سرگرفته میشود.
🏷میتوانید با کمکهای نقدی و پرداخت نذورات به …
#یادداشت|تبعات حذف ارز ترجیحی بر صنعت نساجی:
از شوک هزینه تا فرصت پوستاندازی
صنعت نساجی ایران در آستانه یک جراحی بزرگ اقتصادی قرار گرفته است. حذف ارز ترجیحی، اگرچه در نگاه اول همچون شوکی سهمگین بر پیکره این صنعت دیرپا به نظر میرسد، اما واکاوی دقیق آن نشان میدهد که این تصمیم تیغی دو لبه است؛ لبهای که میتواند تولید را زخمی کند و لبهای دیگر که شاید عفونتهای مزمن این صنعت را درمان نماید.
سونامی هزینهها و بحران …
⛔️ چه ننگ است مزدور بیگانه بودن!
🔻 پاسخی به بیانیههای تحریف و انجمنهای نابینای دانشجویی
📄 بسیج دانشجویی دانشکدههای مهندسی کامپیوتر دانشگاههای شریف، تهران، امیر کبیر، علم و صنعت، شهید بهشتی و خواجه نصیر
🔸 «وقتی خون در کوچهها جاریست دیگر سکوت را بر خود روا نمیدانیم.» این جمله ابتدایی بیانیه جمعی از دانشجویانِ یکی از دانشکدههایِ یکی از دانشگاههایِ کشور بزرگ و وسیعمان ایران است. کشوری که گوشهگوشه پیکر پاکش،…
سلام، با توجه به اینکه در سامانه بهستان تمام دروس فارغ از محدودیتهای اخذ کردن و ... نمایش داده میشود بر آن شدیم تا با گروهبندی دروس معارف از بروز مشکلات انتخاب واحد کم کنیم.
مبانی نظری اسلام *
1. اندیشه اسلامی ۱ (مبدأ و معاد) – ۲ واحد
2. اندیشه اسلامی ۲ (نبوت و امامت) – ۲ واحد
3. انسان در اسلام – ۲ واحد
4. حقوق اجتماعی و سیاسی در اسلام – ۲ واحد
اخلاق در اسلام **
1. فلسفه اخلاق (با تکیه بر مباحث تربیتی) – ۲ واحد…
❗️ویژه انتخاب واحد
🔸آموزش استفاده از سامانه بهستان برای انتخاب واحد.
❗️پیشنهاد میشه حتما مطالعه کنید تا بدون مشکل انتخاب واحد کنید.
📌با تشکر از آقای عیسیپور جهت آماده سازی فایل.
#آموزشی
💠| گروه علمی فرهنگی آسمان |💠
❤4
Showing the 12 most recent of 19 posts we hold for @rooyeshnassaji. 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 — 825,896 of 1,480,688entries 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 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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“رویش نساجی” (@rooyeshnassaji), 345 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/rooyeshnassaji.
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.