2 measurements spanning 2 days. 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 66–68 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 01:30
67
no change
8 Aug 2026, 02:15
67
first reading
Engagement
12 posts held, back to 3 June 2026 — 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
214.9%
avg views ÷ 67 subscribers
Avg views / post
144
1 post measured
Reaction rate
0.694%
reactions ÷ views · ER floor
Posts in window
1
of 12 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 28 July 2026
Posts held
12 (3 June 2026 – 28 July 2026)
Views total
144
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 01:30 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
Photos
6
Links
8
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
28 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 96.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
96.4%
🤔
1
3.57%
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 8 of the 12 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 3 June 2026 to 28 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.
✨ وبینار علمی نجوم
🔭 رصدخانه کوشیار با همکاری گروه AstroHub برگزار میکند:
سلسله وبینارهای گروه AstroHub | وبینار ششم
(رصدخانه محل تلاقی علم و جامعه)💡
در این نشست، ضمن معرفی امکانات فنی و تجهیزات رصدخانه، به تواناییهای علمی آن در زمینهٔ رصد اجرام آسمانی و نقش آن بهعنوان پلی میان علم و جامعه پرداخته خواهد شد. در ادامه، فیلم مستندی از فرآیند رصد خورشید در قالب یک ارائهٔ تصویری به نمایش درمیآید.
👨🏫 سخنران: بیت…
⏰ یادآوری وبینار علمی نجوم
فقط یک ساعت تا آغاز وبینار علمی « زیبایی آسمان شب بر فراز معماری ایرانی » باقی مانده است. 🌌✨
اگر به نجوم، عکاسی آسمان شب، معماری ایرانی و پیوند علم و هنر علاقمند هستید، این فرصت را از دست ندهید.
🗓️ زمان: امروز، چهارشنبه ۱۷ تیر ۱۴۰۵
🕔 ساعت: ۱۷:۰۰ تا ۱۸:۰۰
💻 محل برگزاری: بستر Adobe Connect
🎙️ سخنران: مهندس خسرو جعفریزاده
لینک ورود به وبینا:
🔗🔗 https://ac1.znvu.ir/class-40429990022/?prot…
✨ وبینار علمی نجوم
🔭 انجمن علمی نجوم شهرستان بم با همکاری گروه AstroHub برگزار میکند:
سلسله وبینارهای گروه AstroHub | وبینار پنجم
«زیبایی آسمان شب بر فراز معماری ایرانی»
The Beauty of the Night Sky Above Iranian Architecture
آسمان شب، همواره الهامبخش هنر، فرهنگ و معماری ایران بوده است. از نقش ستارگان در جهتیابی و زمانسنجی تا بازتاب مفاهیم کیهانی در بناهای تاریخی، پیوند میان نجوم و معماری ایرانی، داستانی شگفت…
⏰ یادآوری وبینار علمی نجوم
فقط چند ساعت تا آغاز وبینار علمی «خوشههای ستارهای؛ رهیافتی برای مطالعه فراوانی عناصر سنگین» باقی مانده است. 🌌✨
اگر به نجوم، اخترفیزیک و پژوهشهای مرتبط با تکامل ستارهها علاقهمند هستید، این فرصت را از دست ندهید.
🗓 زمان: امروز، پنجشنبه ۱۱ تیر ۱۴۰۵
🕔 ساعت: ۱۷:۰۰ تا ۱۸:۰۰
💻 محل برگزاری: بستر Adobe Connect
🎙 سخنران: ریحانه کیبری، دانشجوی دکتری فیزیک دانشگاه گیلان
لینک ورود به وبینا:
🔗🔗…
🔭 انجمن علمی نجوم دانشگاه گیلان با همکاری گروه AstroHub برگزار میکند:
سلسله وبینارهای علمی AstroHub | وبینار چهارم
«خوشههای ستارهای؛ رهیافتی برای مطالعه فراوانی عناصر سنگین»
Star Clusters: An Approach to Studying the Abundance of Heavy Elements
🎙️ سخنران: ریحانه کیبری
دانشجوی دکتری فیزیک دانشگاه گیلان
👤 میزبان: فاطمه فرهادی
دبیر انجمن علمی نجوم دانشگاه زنجان
🗓️ زمان: پنجشنبه ۱۱ تیر ۱۴۰۵
🕔 ساعت: ۱۷:۰۰ تا ۱۸:…
انجمن علمی دانشجویی نجوم دانشگاه تبریز با همکاری گروه AstroHub برگزار میکند:
سلسله وبینارهای AstroHub | وبینار سوم
🔭 وبینار(سمینار فیزیک): تکنیکهای رصدی و آنالیز ستارگان متغییر
🎙 سخنران: دکتر میر حجت کرمانی
(عضو هیئت علمی بازنشسته دانشگاه تبریز)
👤 میزبان: آقای محمد یاغچیان
(دبیر انجمن علمی دانشجویی نجوم دانشگاه تبریز)
🗓 زمان برگزاری: چهارشنبه ۲۷ خرداد ۱۴۰۵
🕔 ساعت: ۱۷:۰۰ الی ۱۸:۰۰
🌐 بستر برگزاری: اسکای روم (S…
🌌 آرشیو سلسله وبینارهای AstroHub | وبینار دوم
مدلهای کیهانشناسی
🚀 جهان چگونه شکل گرفته است؟ تاریخچه کیهانشناسی چیست؟ سرنوشت نهایی کیهان چه خواهد بود؟
در یکی از برنامههای برگزارشده توسط AstroHub، وبینار «مدلهای کیهانشناسی» با ارائه سالار عباسوند برگزار شد و به بررسی مهمترین دیدگاهها و مدلهای مطرح در کیهانشناسی نوین پرداخت.
اگر فرصت حضور در این برنامه را نداشتید یا علاقه دارید دوباره آن را مرور کنید، اکنون…
☀️ آرشیو سلسله وبینارهای AstroHub | وبینار اول
خورشید مصنوعی؛ پروژهای برای نیازهای انرژی آینده
⚡ آیا میتوان روی زمین یک خورشید ساخت؟
در این وبینار که با همکاری گروه فیزیک و انجمن علمی نجوم دانشگاه زنجان برگزار شد، دکتر حسین صفری به معرفی فناوری همجوشی هستهای و پروژههای «خورشید مصنوعی» پرداختند؛ پروژههایی که میتوانند آینده انرژی بشر را متحول کنند.
اگر موفق به شرکت در این برنامه نشدهاید، اکنون میتوانید ضبط کا…
Showing the 12 most recent of 12 posts we hold for @astrohub_ngo. 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 — 470,977 of 1,478,351entries 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 2 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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“𝔸𝕤𝕥𝕣𝕠ℍ𝕦𝕓 (استروهاب)” (@astrohub_ngo), 67 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/astrohub_ngo.
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.