4 measurements spanning 6 days, net -3. 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 3,391–3,394 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 08:54
3,391
-2
9 Aug 2026, 16:04
3,393
-1
6 Aug 2026, 04:45
3,394
no change
5 Aug 2026, 22:31
3,394
first reading
Engagement
20 posts held, back to 2 March 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
11.1%
avg views ÷ 3,391 subscribers
Avg views / post
378
1 post measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 14 July 2026
Posts held
20 (2 March 2025 – 14 July 2026)
Views total
378
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:24 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
123 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 41.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
51
41.5%
👍
51
41.5%
👏
13
10.6%
🔥
7
5.69%
🤔
1
0.813%
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 20 of the 20 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 123reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 March 2025 to 14 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.
در کارگاه «غلط اضافی» یاد میگیریم:
کالبدشکافی کمپینها: بررسی نمونههای موفق ایران و جهان، کشف فرمول پشت صحنه خلاقیتها
ایدهپردازی خارج از چارچوب: تمرین روشهای خلاقیت ساختارمند (Lotus Blossom, SCAMPER, Role Storming و …)
کپیرایتینگ: ترجمهی ایده به پیام تبلیغاتی
تکنیکهای متقاعدسازی: درگیر کردن ذهن مخاطب با کلمات
آزمایش خلاقیت: تمرینهای عملی، نقد متون شرکتکنندهها، بازنویسی و بهبود جمعی
و مهمتر از همه: چطور کلمههارو تبدیل…
🔅 ایران در ذهن هرکدام از ما یک تصویر متفاوت دارد.
شما چه تصویری دارید؟
ما در حال انجام یک پژوهش درباره تصویر ایران و شهرهای ایران هستیم.
اگر ۳ دقیقه وقت دارید، در این پرسشنامه شرکت کنید.
⏱️ کمتر از ۳ دقیقه
https://survey.porsline.ir/s/Rudu7rYW
📚 فراخوان جذب کارآموز در بخش انتشارات کمیسیون ملی یونسکو در ایران
بخش انتشارات کمیسیون ملی یونسکو در ایران در راستای توسعه فعالیتهای نشر و تولید محتوای علمی، فرهنگی و آموزشی، از علاقهمندان واجد شرایط برای همکاری به عنوان کارآموز دعوت میکند.
🔶شرایط و مهارتها:
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🔹 تسلط به زبان انگلیسی (خواندن، ترجمه و ویرایش متون)
🔹 آشنایی با ویراستاری فارسی
🔹 آشنایی با اصول صفحهآرایی و طراحی کتاب، مج…
🔅 کارگاه آنلاین غلط اضافی | تبلیغنویسی
گاهی یک «غلط اضافی» در متن میتواند همهچیز را خراب کند.
اما در تبلیغنویسی، همین «غلطها» نقطه شروع خلاقیتاند.
ایدههای خام، فکرهای خطخورده و حتی متنهای به ظاهر اشتباه، میتوانند به تبلیغهایی خاص تبدیل شوند.
مدرس: سجاد بهجتی
🔖 اطلاعات بیشتر:
https://evand.com/events/cwww
🔅 رویداد حضوری پاپکورن محتوا
در رویداد «پاپکورن محتوا» میخواهیم از ذهن و ایدههای برترین نویسندههای دنیا استفاده کرده و به ایدههایی برای اثربخشنویسی در کسبوکار برسیم.
فیلم میبینیم و
شعارهای تبلیغاتی و متنهای اثربخش مینویسیم...
📝 ثبتنام:
https://evand.com/events/popcorn7
🔅 دورهمی آنلاین پاپکورن محتوا
در رویداد «پاپکورن محتوا» میخواهیم از ذهن و ایدههای برترین نویسندههای دنیا استفاده کرده و به ایدههایی برای اثربخشنویسی در کسبوکار برسیم.
📝 ثبتنام:
https://B2n.ir/sk7254
کوتاه؛ دربارهٔ این روزها
قصد نداشتم در این چند روز - که امیدواریم کوتاه باشد - چیزی در اینجا بنویسم. اما گفتم شاید بد نباشد به یک نکته اشاره کنم.
وضعیتی که امروز در آن قرار گرفتهایم، وضعیت سادهای نیست. و طبیعی است که هیچکس نداند رفتار و عکسالعمل درست در فضای رسانهای و شبکههای اجتماعی چیست.
بنابراین طبیعی است هر کس به سبکی که مناسب میداند رفتار کند و با تنش سنگین این روزها کنار بیاید:
یکی سکوت میکند،
یکی زی…
🔅فرصت شغلی Content Specialist
ما بهدنبال فردی برای تولید، مدیریت و بهینهسازی محتوا برای سایت و سوشال مدیا هستیم.
ساکن تهران با حداقل ۲ سال سابقه مرتبط
🔖 مهارتها:
- کوتاهنویسی و بلندنویسی
نگارش پست بلاگ با رعایت اصول SEO، تدوین کپشنهای جذاب و خلاقانه
- اهل اعداد و نتیجه
آشنایی با داده و گزارشنویسی تحلیلی
- تسلط به زبان انگلیسی
ارسال رزومه:
📞 Designstudio@arigroup.ir
🔅 عضویت در اتاق فکر ۴۰۴
هرازچندگاهی اتاق فکرهای هیجانانگیز برگزار میکنیم که از هیچچیز به همه چیز برسیم 😉
مثلا:
ایدهپردازی برای کمپین تبلیغاتی
شعار برند
اسمگذاری محصول
و...
اگه اهل ایدهپردازی هستید و توی جلسات بارش فکری حسابی مشارکت میکنید، مشتاق دیدارتون هستیم (زیاد)
📝 شروع آشنایی:
https://survey.porsline.ir/s/mNGfuMr
وقتی مغزت قفل میکنه، میتونی ازش فرار نکنی، فقط خودتو عوض کنی!
اگه اهل محتوا و ایدهپردازی باشی، حتماً روزهایی رو تجربه کردی که هرچی زور میزنی، هیچ ایده تازهای پیدا نمیکنی. انگار ذهنت فقط مسیرهای قدیمی رو میشناسه.
یکی از روشهای خلاقانهای که توی همچین موقعیتهایی میتونه نجاتت بده، Role Stormingـه.
توی این روش بهجای اینکه از خودت ایده بخوای، میری تو نقش یه نفر دیگه. مثلاً:
اگه قرار بود «چارلی چاپلین» این…
🔅 دسترسی یکساله به دوره نویسندگی محتوا
✅ ۲ روز تا پایان شرایط ویژه ثبتنام
نویسندگی محتوا از طراحی پیام شروع میشود:
نویسنده محتوا قبل از دست به قلم شدن، پیام اصلی را طراحی، مسیر محتوا را ترسیم و سپس به سراغ چیدن کلمات میرود. نویسنده محتوا، مخاطبش را بهخوبی میشناسد، کلمات را برای بهتصویر کشیدن آنچیزی که در ذهنش دارد استفاده نمیکند، بلکه از کلمات استفاده میکند تا تصویری درست در ذهن مخاطب شکل گیرد.
📝 اطلاعا…
👍1
Showing the 12 most recent of 20 posts we hold for @ContentTime. 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 — 380,876 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
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 4 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Content Time” (@ContentTime), 3,391 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ContentTime.
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.