Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
59 measurements spanning 35 days, net +2,641. 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 287,355–292,211 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
11 Sept 2026, 03:00
291,651
+10
11 Sept 2026, 00:57
291,641
+91
8 Sept 2026, 03:20
291,550
+6
8 Sept 2026, 03:17
291,544
+106
5 Sept 2026, 01:59
291,438
+3
5 Sept 2026, 01:22
291,435
-14
3 Sept 2026, 10:12
291,449
no change
3 Sept 2026, 09:58
291,449
+54
2 Sept 2026, 07:33
291,395
+57
2 Sept 2026, 02:38
291,338
+88
1 Sept 2026, 07:59
291,250
+12
1 Sept 2026, 04:36
291,238
+163
31 Aug 2026, 07:43
291,075
+32
31 Aug 2026, 05:04
291,043
+209
30 Aug 2026, 05:56
290,834
no change
30 Aug 2026, 04:05
290,834
+94
29 Aug 2026, 09:24
290,740
+44
29 Aug 2026, 04:25
290,696
+119
28 Aug 2026, 08:14
290,577
+9
28 Aug 2026, 07:53
290,568
first reading
Engagement
23 posts held, back to 15 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 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.5%
avg views ÷ 291,651 subscribers
Avg views / post
59,700
3 posts measured
Reaction rate
0.4%
reactions ÷ views · ER floor
Posts in window
3
of 23 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 19 August 2026
Posts held
23 (15 July 2026 – 19 August 2026)
Views total
179,200
Reactions total
716
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Sept 2026, 15:59 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
Videos
≈5
Links
≈4,990
Lifetime counters from Telegram’s own channel header, read 11 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
2,776 reactions across 23 posts, in 16 distinct kinds. The most used accounts for 68.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,887
68.0%
🔥
290
10.4%
👍
140
5.04%
🥰
100
3.60%
❤🔥
98
3.53%
😍
77
2.77%
🎉
34
1.22%
💘
32
1.15%
🏆
28
1.01%
😎
24
0.865%
👏
18
0.648%
🍾
16
0.576%
🦄
9
0.324%
🆒
8
0.288%
💋
8
0.288%
⚡
7
0.252%
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 23 of the 23 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 2,776 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 15 July 2026 to 19 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.
#ReZeroKaraHajimeruIsekaiSeikatsu4thSeason
🎥 Re:Zero kara Hajimeru Isekai Seikatsu 4th Season
🔎 دیگر عنوانها:
نام فارسی: ری:زیرو − شروع زندگی در دنیای دیگر فصل چهارم
نام انگلیسی: Re:ZERO -Starting Life in Another World- Season 4
نام اصلی: Re:Zero kara Hajimeru Isekai Seikatsu 4th Season
نام ژاپنی: Re:ゼロから始める異世界生活 4th season
📜 خلاصه داستان:
فصل چهارم Re:Zero kara Hajimeru Isekai Seikatsu.
⭐️ امتیازها:
انیپلاس…
#AnsatsuKyoushitsuMovieMinnaNoJikan
🎥 Ansatsu Kyoushitsu Movie: Minna no Jikan
🔎 دیگر عنوانها:
نام فارسی: فیلم کلاس ترور: زمان همه
نام انگلیسی: Assassination Classroom the Movie: Our Time
نام اصلی: Ansatsu Kyoushitsu Movie: Minna no Jikan
نام ژاپنی: 劇場版『暗殺教室』みんなの時間
📜 خلاصه داستان:
فیلم کلاس ترور: زمان همه اقتباسی از اپیزودهایی است که در سری انیمه اصلی حذف شده بودند.
⭐️ امتیازها:
انیپلاس: -
مای انیمهلیست : 7…
اینترنت آزاد و بدون مرز با «نیمسو»! 🔥
دنبال یه VPN هستی که روی همه اپراتورها بدون قطعی کار
کنه؟ نیمسو راهحل شماست! 👇
✅ حذف تبلیغ برای ساندکلود و یوتیوب
✅ ترافیک نیم بها
✅ اشتراک رایگان فیلیمو و فیلمنت
✅ تست رایگان قبل از خرید 🎁
✅ سرورهای اختصاصی آلمان 🇩🇪 و هلند 🇳🇱 (کمترین پینگ)
✅ آیپی ثابت (Static IP) برای تریدرها
✅ حجم و زمان نمیسوزد! 🔄
✅ پشتیبانی از iOS، اندروید، ویندوز و مک
✅ خرید با حجم و زمان دلخواه خودت
…
#AnsatsuKyoushitsuMovieMinnaNoJikan
🎥 Ansatsu Kyoushitsu Movie: Minna no Jikan
🔎 دیگر عنوانها:
نام فارسی: فیلم کلاس ترور: زمان همه
نام انگلیسی: Assassination Classroom the Movie: Our Time
نام اصلی: Ansatsu Kyoushitsu Movie: Minna no Jikan
نام ژاپنی: 劇場版『暗殺教室』みんなの時間
📜 خلاصه داستان:
فیلم کلاس ترور: زمان همه اقتباسی از اپیزودهایی است که در سری انیمه اصلی حذف شده بودند.
⭐️ امتیازها:
انیپلاس: -
مای انیمهلیست : 7…
#TheBloodyMary
🎥 The Bloody Mary
🔎 دیگر عنوانها:
نام فارسی: مری خونی
نام انگلیسی: The Bloody Mary
نام اصلی: The Bloody Mary
نام ژاپنی: ブラッディ・メアリー
📜 خلاصه داستان:
بتی، دختری عاشق علوم غریبه، و سیکا، یک دیو، کارهای موقت میگیرند تا مقداری پول دربیاورند. این بار، آنها به عمارتی میروند که شایعه شده توسط بلادی مری تسخیر شده... اما چه چیزی واقعاً در داخل منتظرشان است؟ (منبع: یوتیوب رسمی)
⭐️ امتیازها:
انیپلاس: -
…
#Ryoumin0NinStartNoHenkyouRyoushuSama
🎥 Ryoumin 0-nin Start no Henkyou Ryoushu-sama
🔎 دیگر عنوانها:
نام فارسی: ارباب مرزی با شروع بدون رعایا
نام انگلیسی: The Frontier Lord Begins with Zero Subjects
نام اصلی: Ryoumin 0-nin Start no Henkyou Ryoushu-sama
نام ژاپنی: 領民0人スタートの辺境領主様
📜 خلاصه داستان:
دیاس سرانجام پس از دههها جنگ به خانه بازمیگردد. او را قهرمان خطاب میکنند و بلافاصله با قلمرو خودش پاداش میدهند... که…
#BaiRiChengWang
🎥 Bai Ri Cheng Wang
🔎 دیگر عنوانها:
نام فارسی: پادشاه شدن در روز روشن
نام انگلیسی: Crowned in a Hundred Days
نام اصلی: Bai Ri Cheng Wang
نام ژاپنی: 百日成王
📜 خلاصه داستان:
یک لحظه رستوران پر از شادی بود، لحظه بعد به رودخانهای از خون تبدیل شد… پادشاه، که آشکارا مردمش را دوست داشت، ناگهان به هیولایی تشنه به خون بدل شد… «مینگ» همه کسانی را که به آنها اهمیت میداد از دست داده؛ این پادشاه وحشتناک واقع…
#TsuihouSaretaTenseiJuukishiWaGameChishikiDeMusouSuru
🎥 Tsuihou sareta Tensei Juukishi wa Game Chishiki de Musou suru
🔎 دیگر عنوانها:
نام فارسی: شوالیه مقدس تناسخیافته تبعیدشده با دانش بازی بدون رقیب میشود
نام انگلیسی: The Exiled Heavy Knight Knows How to Game the System
نام اصلی: Tsuihou sareta Tensei Juukishi wa Game Chishiki de Musou suru
نام ژاپنی: 追放された転生重騎士はゲーム知識で無双する
📜 خلاصه داستان:
«ای پسر بیارزش من!…
#SuperNoUraDeYaniSuuFutari
🎥 Super no Ura de Yani Suu Futari
🔎 دیگر عنوانها:
نام فارسی: سیگار کشیدن پشت سوپرمارکت با تو
نام انگلیسی: Smoking Behind the Supermarket with You
نام اصلی: Super no Ura de Yani Suu Futari
نام ژاپنی: スーパーの裏でヤニ吸うふたり
📜 خلاصه داستان:
تنها چیزی که ساساکیِ میانسال را در شغل طاقتفرسا و روحفرسایش سرپا نگه میدارد، لبخند شاداب یامادا است؛ زن جوانی که در سوپرمارکت شبانهروزی نزدیکی محل کار ا…
❤73👍5🦄5❤🔥4😍3
Showing the 12 most recent of 23 posts we hold for @myanimelist. 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.
Mentions
Named by 12 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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“انی پلاس | دانلود انیمه فارسی” (@myanimelist), 291,651 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/myanimelist.
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.