Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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
20 measurements spanning 26 days, net +14. 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 29,712–29,788 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 08:38
29,735
-2
15 Sept 2026, 10:59
29,737
-14
13 Sept 2026, 22:01
29,751
-2
12 Sept 2026, 06:14
29,753
-5
9 Sept 2026, 21:21
29,758
-13
6 Sept 2026, 14:58
29,771
+18
4 Sept 2026, 05:58
29,753
-4
2 Sept 2026, 19:17
29,757
+4
1 Sept 2026, 19:07
29,753
-18
31 Aug 2026, 22:37
29,771
+1
31 Aug 2026, 00:07
29,770
-7
29 Aug 2026, 22:38
29,777
+1
28 Aug 2026, 19:26
29,776
-3
27 Aug 2026, 20:34
29,779
+1
26 Aug 2026, 20:08
29,778
+9
25 Aug 2026, 17:59
29,769
+19
24 Aug 2026, 20:24
29,750
+18
23 Aug 2026, 03:08
29,732
+11
21 Aug 2026, 22:00
29,721
no change
21 Aug 2026, 21:45
29,721
first reading
Engagement
55 posts held, back to 9 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 39 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.9%
avg views ÷ 29,735 subscribers
Avg views / post
3,230
26 posts measured
Reaction rate
0.23%
reactions ÷ views · ER floor
Posts in window
32
of 55 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 22 September 2026
Posts held
55 (9 August 2026 – 22 September 2026)
Views total
83,988
Reactions total
193
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 15:58 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
933
Links
908
Lifetime counters from Telegram’s own channel header, read 22 September 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
325 reactions across 45 posts, in 15 distinct kinds. The most used accounts for 80.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
262
80.6%
🔥
15
4.62%
🤣
14
4.31%
🗿
11
3.38%
😨
5
1.54%
😢
4
1.23%
👎
2
0.615%
😐
2
0.615%
😭
2
0.615%
😴
2
0.615%
🤬
2
0.615%
👍
1
0.308%
💔
1
0.308%
🥰
1
0.308%
🥴
1
0.308%
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 45 of the 55 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 325 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 9 August 2026 to 22 September 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 45 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @FunyManga. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 55 most recent posts we hold for this entry, published 9 August 2026 to 22 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🔞 کمیک"مدرسه ابرقهرمانانه من"
نام #کمیک: My Hero Academia
📚 خلاصه کمیک: داستان در مورد پسری جوان به ایزوکو میدوریاس که به دنبال قدرت میگردد اما تمام این مدت قدرت اصلی او ...
➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️
دانلود با ترجمه فارسی 👇🏻
Chapter 1
➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️
⚠️ از چپتر 2 تا 8 در کانال فانی هنتای 👇🏻
(لینک ورود به کانال) + 2 VIP 🔞
.
🔵@FunyAnimez
جلد 16 از مانگای "مدرسه زندان"
نام #مانگا : Prison School
🎭ژانر : #کمدی/#مدرسه_ای/#اچی/#حارم
⛔️رده سنی : 18+
🇯🇵ترجمه شده به فارسی🇮🇷
✏️وضعیت : اتمام پخش 🔴
📚خلاصه مانگا: پنج پسر برای اولین بار در یک مدرسه دخترانه که تازه پسرها را هم میپذیرد ثبتنام میکنند، اما بعد از یک اتفاق، توسط شورای دانشآموزی دستگیر و در بخش «زندان» مدرسه حبس میشوند. داستان بیشتر روی کمدی و موقعیتهای عجیب و دردسرهای آنها تمرکز دارد.
📌اقتب…
چپتر 36 از مانگای "قضاوت ماریا"
نام #مانگا : Maria No Danzai
🎭ژانر : #دارم/#خشونت_زیاد /#انتقام
⛔️رده سنی : 17+
🇯🇵ترجمه شده به فارسی🇮🇷
✏️وضعیت : درحال پخش🟢
📚خلاصه مانگا: خانواده ناگاره یه خانواده سه نفره بودن که زندگی شادی داشتن ولی با این حال پسرشون کیریتاکا مخفیانه در مدرسه مورد آزار و اذیت قرار گرفت و سپس حادثه ای رخ داد که این باعث شد عشق ماریا به پسرش از کنترل خارج بشه....
.
#Maria_No_Danzai
.
➖️➖️➖️➖️➖️➖️➖️➖️➖…
جلد آخر از مانگای "حماسه وینلند"
نام #مانگا : Vinland Saga
🎭ژانر : #اکشن/#تاریخی/#ماجراجویی/#سینن
⛔️رده سنی : 16+
🇯🇵ترجمه شده به فارسی🇮🇷
✏️وضعیت : اتمام پخش 🔴
📚خلاصه مانگا: قرن 11 میلادی اروپا در وضعیتی بود که خشونت دیوانگی و بی عدالتی در سرتاسر آن موج میزد و مردمانش در نبردهای خانمان سوز گرفتار شده بودند. این داستان روایتی است از یک حماسه در میان این جهنم سوزان. تورفین فرزند ،تورس یکی از بزرگترین جنگجویان وایکینگ ع…
🔞 کمیک"وان پیس"
نام #کمیک: One Piece
📚 خلاصه کمیک: رابین وقتی داشت توی کشتی دور میخورد متوجه شد چاپر دچار مشکل شده و رابین توی این راه کمکش میکنه...
➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️
دانلود با ترجمه فارسی 👇🏻
Chapter 1 | Chapter 2
➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️
⚠️چپتر 3 (آخر) در کانال فانی هنتای 👇🏻
(لینک ورود به کانال) + 2 VIP 🔞
.
🔵@FunyAnimez
جلد آخر از مانگای "چگونه با یک شوالیه خانم درست رفتار کنیم"
نام #مانگا : How to Treat a Lady Knight Right
🎭ژانر : #کمدی/#شونن/#حارم/#عاشقانه
⛔️رده سنی : 17+
🇯🇵مترجمه شده به فارسی🇮🇷
✏️وضعیت : اتمام پخش 🔴
📚خلاصه مانگا: لئو یک شوالیه خانم است که پوشیده از عضله و جای زخم است و لئو جادوگر مورد تحسین اوست. به دلیل دیدگاه لئو نسبت به ظاهر او، لئو نمیتواندحرف های جادوگر احمق را که به خاطر او به معشوقش اعتراف میکند.
.
#Ho…
چپتر 1193 از مانگای "وان پیس"
نام #مانگا : One Piece
🎭ژانر :#اکشن/#کمدی/#درام/#ماجراجویی
⛔️رده سنی : 13+
🇯🇵ترجمه شده به فارسی🇮🇷
✏️وضعیت : درحال پخش🟢
📚خلاصه مانگا: "گل دی. راجر" که به عنوان پادشاه دزدان دریایی شناخته می شد قوی ترین و بدنام ترین دزد دریایی در دریایی گراند لاین است. دستگیر و اعدام او توسط دولت جهانی تغییراتی در دنیا به وجود می آورد. آخرین کلمات او قبل از مرگ مکان بزرگترین گنج دنیا به نام وان پیس را نشا…
Showing the 12 most recent of 55 posts we hold for @FunyManga. 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.
Posts edited after publishing
@FunyManga edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
28 August 2026
Most recent edit
1 September 2026
Mentions
Named by 3 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“FunyManga | فانی مانگا” (@FunyManga), 29,735 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/FunyManga.
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.