8 measurements spanning 20 days, net +2. 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 2,878–2,888 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Aug 2026, 12:12
2,882
+1
22 Aug 2026, 02:24
2,881
+2
18 Aug 2026, 19:37
2,879
-2
15 Aug 2026, 17:54
2,881
-6
12 Aug 2026, 15:24
2,887
+5
6 Aug 2026, 20:42
2,882
+2
6 Aug 2026, 05:05
2,880
no change
5 Aug 2026, 22:35
2,880
first reading
Engagement
32 posts held, back to 1 August 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.0%
avg views ÷ 2,882 subscribers
Avg views / post
345
32 posts measured
Reaction rate
0.827%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 24 of 32 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 7 August 2026
Posts held
32 (1 August 2026 – 7 August 2026)
Views total
11,028
Reactions total
64
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:05 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
56s
Average length
56s
Measured directly from 1 video 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
47 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 87.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
41
87.2%
👏
3
6.38%
🥰
2
4.26%
👍
1
2.13%
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 24 of the 32 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 1 August 2026 to 7 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.
✍️ کلاس جدید نویسندگی
👩🏫 مدرس: خانم بهناز اقبال
📅 شروع دوره: ۲۳ مرداد
🕐 ساعت: ۱۳:۰۰ تا ۱۵:۰۰
📝 ۱۲ جلسه (هر جلسه ۲ ساعت)
جهت دریافت اطلاعات بیشتر با شماره
09129231576
تماس حاصل فرمایید
#خانواده_بزرگ_پانیذ
#من_یک_پانیذی_هستم
🎙️ آغاز دوره جدید دوبله بزرگسالان 🎬
اگر به دنیای جذاب دوبله و صداپیشگی علاقهمند هستید، فرصت را از دست ندهید.
📅 تاریخ شروع: جمعه ۶ شهریور
🕚 ساعت: ۱۱:۰۰ تا ۱۳:۰۰
👥 ویژه بزرگسالان
🎙️ مدرسین: برادران ابراهیمی
✨ با آموزش اصولی دوبله، فن بیان، صداپردازی و اجرای حرفهای، مسیر ورود به دنیای صداپیشگی را آغاز کنید.
📍 جهت ثبتنام و کسب اطلاعات بیشتر با آکادمی بازیگری پانیذ در ارتباط باشید.
#خانواده_بزرگ_پانیذ
#من_یک_پانیذ
از اعتماد و استقبال گرم شما صمیمانه سپاسگزاریم. 🙏
🎭 شروع دوره جدید جوان جامع M در آکادمی بازیگری پانیذ
از ۳ شهریور، دوره جدید جوان جامع M در آکادمی بازیگری پانیذ آغاز میشود.
در این دوره، هنرجویان با تمرینهای تخصصی و هدفمند، مهارتهای بازیگری را بهصورت اصولی فرا میگیرند و در مسیر تقویت بیان، اعتمادبهنفس، حضور صحنهای، خلاقیت و آمادگی برای ورود به عرصه حرفهای گام برمیدارند. ✨
🗓 زمان برگزاری کلاسها:
🕔 شنبهه…
روزی که سکوت
آرام روی شانههای جهان مینشیند
و دل،
فرصتِ نفس کشیدن پیدا میکند...
جمعه،
خلوتِ روشنِ روح است؛
مکثی کوتاه
برای آنکه دوباره
خودت را
از میانِ هیاهوی هفته
پیدا کنی...
🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬
#خانواده_بزرگ_پانیذ
#من_یک_پانیذی_هستم
@panizacting58
https://ble.ir/panizacting58
https://rubika.ir/page/panizacting58
https://paniz-acting.com/
🗓زمانبندی کلاس های
جمعه16مرداد 1405🗓
نکته :
هرگونه تغییر در برنامه تمرین ها و کارگاه
ها، در گروه های مربوطه اطلاع رسانی خواهد شد.
🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬
کلاس : دوبله جوان/ بزرگسال
مدرس : برادران ابراهیمی
ساعت 14تا 16
(شعبه تهرانپارس )
🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬
کلاس : شروع دوره نوجوان جامع H
مدرس: رامیار مشایی
ساعت: 11تا 14
(شعبه ی شاپرک)
🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬
🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬
کلاس : دوره جوان جامع k
مدرس : امیر ر…
حالا فکر میکنید استعداد مهم تره یا آموزش؟
استعداد بدون اموزش مثل بذری میمونه که بهش رسیدگی نشه
و هیچوقت رشد نمیکنه
🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬
#خانواده_بزرگ_پانیذ
#من_یک_پانیذی_هستم
@panizacting58
https://ble.ir/panizacting58
https://rubika.ir/page/panizacting58
https://paniz-acting.com/
فرزان جلالی در سال ۱۳۹۶ وارد آموزشگاه بازیگری پانیذ شد و پس از گذراندن دورههای حرفهای بازیگری، در جشنوارههای تئاتر آموزشگاه پانیذ حضور یافت و با کسب رتبه برتر از نگاه داوران حرفهای، مسیر فعالیت خود را در عرصه بازیگری آغاز کرد.
پس از آن، برای حضور در تئاتر موزیکال «الیور توئیست» به کارگردانی حسین پارسایی از طریق آموزشگاه معرفی شد و تجربه حضور در یکی از بزرگترین پروژههای تئاتر موزیکال ایران را به دست آورد.
در …
صبح پنجشنبه است؛
روزی که نور
آرامتر بر جهان مینشیند
و دل،
به خلوتِ خویش بازمیگردد...
پنجشنبه،
مکثیست هنرمندانه
پیش از آنکه هفته
در سکوتِ جمعه
به پایان برسد...
🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬🎬
#خانواده_بزرگ_پانیذ
#من_یک_پانیذی_هستم
@panizacting58
https://ble.ir/panizacting58
https://rubika.ir/page/panizacting58
https://paniz-acting.com/
❤3
Showing the 12 most recent of 32 posts we hold for @paniz_acting. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@paniz_acting named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@panizacting58 named in 23 posts, 8 August 2026 – 8 August 2026
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 25 August 2026 — this
entry's latest reading, not the date you are reading this.
“آکادمی بازیگری پانیذ” (@paniz_acting), 2,882 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/paniz_acting.
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.