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 356–357 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 21:03
357
no change
6 Aug 2026, 12:11
357
+1
6 Aug 2026, 07:07
356
first reading
Engagement
12 posts held, back to 27 July 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
42.4%
avg views ÷ 357 subscribers
Avg views / post
151
11 posts measured
Reaction rate
2.26%
reactions ÷ views · ER floor
Posts in window
12
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. It is computed over the 10 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 4 August 2026
Posts held
12 (27 July 2026 – 4 August 2026)
Views total
1,666
Reactions total
34
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 21:03 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
465
Videos
39
Links
170
Lifetime counters from Telegram’s own channel header, read 6 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
34 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 79.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
79.4%
👏
4
11.8%
👌
2
5.88%
🙏
1
2.94%
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 10 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 34reactions 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 27 July 2026 to 4 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.
🌱 پس از تابآوری؛ بازسازی معنا در مسیر کنش مدنی
➰نخستین جلسه از دور تازه گروه پشتیبانی همتایان موسسه معین، روز سه شنبه 6 مرداد، با حضور ۱۰ نفر از فعالان مدنی و تسهیلگری آرزو دیداری برگزار شد.
➰این دوره، پس از مجموعه جلسات پیشین با محور تابآوری، به تقویت ظرفیتهای روانی و بازسازی معنا در مواجهه با چالشهای ساختاری نهادهای مدنی میپردازد.
➰در جلسه نخست، شرکتکنندگان در فضایی صمیمی و امن، با تمرینهایی مانند نقاشی و…
دومین نشست جوانه که میزنیم؛ نهاد مدنی، نهاد مراقبت ۱۴۰۵، با عنوان جنگ، رفاه و کنش مدنی، یکشنبه ۱۱ مرداد، حضوری و آنلاین برگزار شد.
در این #نشست:
▫️الهام ذاکری در ارائه «ساختن سوژه تغییر» به تاریخ شکلگیری و دگرگونی نهادهای مدنی پرداخت و این پرسش را مطرح کرد که چگونه این نهادها میتوانند از جبران پیامدهای عقبنشینی دولت و سیاستهای بازارمحور فراتر بروند و به تقویت کنش جمعی و تغییر ساختارها کمک کنند.
▫️فرشید یزدانی…
🎧نشستهای #جوانه_که_میزنیم؛ نهاد مدنی، نهاد مراقبت
نشست دوم سال ۱۴۰۵: «جنگ، رفاه و کنش مدنی»
👤سخنرانان:
مقدمه نشست:
00:00:01
الهام ذاکری، پژوهشگر اجتماعی:
ساختن سوژه تغییر
00:03:55
فرشید یزدانی، پژوهشگر رفاه و تامین اجتماعی
سیاست اجتماعی در جنگ؛ حاشیه یا متن؟
00:30:25
گفتگوی اجتماعی درباره ابتکارات نهادهای مدنی درجنگ
01:15:10
برگزار شده در موسسه معین، ۱۱ مرداد ۱۴۰۵
🌱🌀
www.moin.ngo
#نهادمدنی_نهادمراقبت
موسسه …
📼 کوتاه از نشست پایداری اینترنت، پایداری جامعه مدنی
اینترنت که قطع میشود، همه ساکت نمیشوند؛
بعضیها فقط دیگر شنیده نمیشوند.
در نخستین نشست «جوانه که میزنیم» در سال ۱۴۰۵، از همین خاموشی نابرابر گفتیم؛ از لحظهای که مسیر درخواست کمک بسته میشود، شبکههای داوطلبانه از هم میگسلند و کسانی که دسترسی و منابع کمتری دارند، زودتر از دیگران از صحنه کنار میروند.
این ویدئو بخشی از گفتوگوی ما درباره «پایداری اینترنت، پای…
لینک حضور آنلاین در نشست «جنگ، رفاه و کنش مدنی»:
نشست "جنگ، رفاه و کنش مدنی
Sunday, August 2 · 5:30 – 7:30pm
Time zone: Asia/Tehran
Google Meet joining info
Video call link: https://meet.google.com/xve-yqec-eth
حضور آزاد در نشست:
ساعت ۱۷.۳۰
موسسه معین، میدان توحید، خیابان نصرت غربی، پلاک ۵۶، طبقه دوم
📃 جنگ فقط ساختمانها و زیرساختها را تخریب نمیکند؛ زندگی روزمره، معیشت، سلامت روان و شبکههای حمایت اجتماعی را نیز تحتتأثیر قرار میدهد. در چنین شرایطی، جامعه مدنی چه نقشی میتواند ایفا کند؟ کجا امکان مداخله دارد و با چه محدودیتهایی روبهروست؟
در نشست «جنگ، رفاه و کنش مدنی» درباره تجربهها و ابتکارهای نهادهای مدنی در مواجهه با جنگ و بحران گفتوگو میکنیم؛ از حفظ ارتباط با افراد و تداوم خدمات حمایتی تا شکلگیری صن…
📃 وقتی جنگ همه ابعاد جامعه را زیر سایه ضرورتهای امنیتی و حفظ اقتدار قرار میدهد، سیاست اجتماعی چه جایگاهی پیدا میکند؟ آیا رفاه و مراقبت از جامعه به حاشیه رانده میشود یا باید در متن مواجهه با بحران قرار گیرد؟
در ارائه «سیاست اجتماعی در جنگ؛ حاشیه یا متن؟»، فرشید یزدانی به نسبت جنگ، اقتدار سیاسی و سیاست اجتماعی خواهد پرداخت و بررسی میکند که چگونه در شرایط جنگی، نیازهای جامعه ممکن است زیر سایه منطق کنترل و ضرورتها…
📃 چگونه نهادهای مدنی از ابزاری برای جبران عقبنشینی دولت و پیامدهای سیاستهای بازارمحور، به نیرویی برای تغییر ساختارها و تقویت کنش جمعی تبدیل میشوند؟
در ارائه «ساختن سوژه تغییر»، الهام ذاکری به تاریخ شکلگیری و دگرگونی نهادهای مدنی و ضرورت بازاندیشی در نسبت آنها با رفاه، مراقبت و منافع جمعی خواهد پرداخت.
منتظر حضور شما در نشست «جنگ، رفاه و کنش مدنی»و همراهیتان در گفتگوی جمعی درباره ابتکارات نهادهای مدنی در جنگ و…
همفکری، یادگیری، و اقدام برای تغییر؛ قدمبهقدم با #ایلام
کارگاه طراحی پروژههای اجتماعی ۱۸ و ۱۹ تیر، با تسهیلگیری زارا امجدیان و مهری شریفی در ایلام برگزار شد.
این دوره در برنامه ظرفیتافزایی سازمانهای مردمنهاد حوزه زنان و کودکان استان ایلام برگزار میشود. در این کارگاه که ۱۰ سازمان مردمنهاد در آن شرکت داشتند، فرایند طراحی پروژه گامبهگام تجربه شد. روز نخست تمرکز اصلی بر تحلیل مسئله، علل ریشهای، تغییر مطلوب …
🌱 «فرسودگی پس از طوفان»؛ گفتوگویی درباره مراقبت و ادامه دادن
➰نخستین جلسه از دور تازه گروه پشتیبانی همتایان «درختان خمیده نمیشکنند»، در روز چهارشنبه ۳۱ تیرماه بهصورت آنلاین و با حضور ۷ نفر از فعالان ۷ نهادهای مدنی از شهرهای گوناگون برگزار شد.
➰در این جلسه که با تسهیلگری دکتر سولماز بذرافشان، روانپزشک شکل گرفت، شرکتکنندگان از تجربههای خود در مواجهه با بحران، فشار روانی و فرسودگی پس از موقعیتهای دشوار گفتند؛ خ…
Showing the 12 most recent of 12 posts we hold for @moinngo. 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 — 36,749 of 1,169,250entries 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 7 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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“moin.ngo موسسه معین” (@moinngo), 357 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/moinngo.
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.