#Qiweny874 #AI 失控的疗养 我对养母动心了 乡野盛夏·那些温柔的女人 岳母家族·妻子娘家的秘密 老屋栖色:旧宅里的女人们 上门家访的魅魔女教师 健身房的私人调教 安洁莉娜·执勤时刻 便利店狩猎:夜班店长的秘密账本 銀座の夜、彼女は領結を直さなかった 律師太太的末班車 懺悔室の黒い聖女 深夜コンビニの人妻店員
❤4
Channel
@manhuamulv
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
29,640subscribers
+999 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002088333457 |
|---|---|
| Type | Channel |
| Username | @manhuamulv |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/manhuamulv |
Adult — 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 80% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 08:16 | 29,640 | +112 |
| 19 Sept 2026, 00:17 | 29,528 | +43 |
| 16 Sept 2026, 13:20 | 29,485 | +30 |
| 14 Sept 2026, 19:21 | 29,455 | +44 |
| 13 Sept 2026, 06:15 | 29,411 | +37 |
| 11 Sept 2026, 11:36 | 29,374 | +55 |
| 8 Sept 2026, 18:16 | 29,319 | +84 |
| 5 Sept 2026, 13:56 | 29,235 | +39 |
| 3 Sept 2026, 12:40 | 29,196 | +23 |
| 2 Sept 2026, 04:26 | 29,173 | +19 |
| 1 Sept 2026, 01:35 | 29,154 | +7 |
| 30 Aug 2026, 23:07 | 29,147 | +13 |
| 29 Aug 2026, 21:55 | 29,134 | +14 |
| 28 Aug 2026, 23:42 | 29,120 | +22 |
| 28 Aug 2026, 02:48 | 29,098 | +10 |
| 27 Aug 2026, 01:17 | 29,088 | +10 |
| 26 Aug 2026, 03:02 | 29,078 | +16 |
| 25 Aug 2026, 03:18 | 29,062 | +21 |
| 23 Aug 2026, 21:59 | 29,041 | +36 |
| 22 Aug 2026, 09:23 | 29,005 | first reading |
21 posts held, back to 22 October 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 69 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 21 (22 October 2025 – 4 September 2026) |
| Views total | 10,600 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Sept 2026, 10:28 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.
Lifetime counters from Telegram’s own channel header, read 25 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.
341 reactions across 21 posts, in 8 distinct kinds. The most used accounts for 94.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 322 | 94.4% | |
| 🔥 | 5 | 1.47% | |
| 👏 | 4 | 1.17% | |
| 👍 | 3 | 0.88% | |
| 👌 | 2 | 0.587% | |
| 👎 | 2 | 0.587% | |
| 😁 | 2 | 0.587% | |
| 🥴 | 1 | 0.293% |
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 21 of the 21 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 341 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 22 October 2025 to 4 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.
#Qiweny874 #AI 失控的疗养 我对养母动心了 乡野盛夏·那些温柔的女人 岳母家族·妻子娘家的秘密 老屋栖色:旧宅里的女人们 上门家访的魅魔女教师 健身房的私人调教 安洁莉娜·执勤时刻 便利店狩猎:夜班店长的秘密账本 銀座の夜、彼女は領結を直さなかった 律師太太的末班車 懺悔室の黒い聖女 深夜コンビニの人妻店員
❤4
#视频 小舞母婿NTR短篇 视频 46分钟 凤清儿 视频 中配剧情 32分 诛仙 陆雪琪 仙子堕凡尘 吞噬星空 徐欣的堕落 33分钟 兼职女仆屋的三日体验-南田樱子 22分钟 堕落 神墓 南宫仙儿 46分钟剧情动画 斗破苍穹 斗圣美杜莎 38分钟视频 萧风 艳魂姐妹花 离子月 离子惜 古风烧鸡二女NTR 22分钟 AI短剧 胖哥的传奇人生 第一季+第二季+番外 《浮屠神女沉沦录》 第一章 41分钟 清衍静 我在斗罗开后宫 序章-第二章 AI漫剧 美丽新世界1-50 第一季全 玄衣NTR斗破苍穹AI短篇 40分 腹黑的X AI视频 完美世界 族灭女神论文禁脔 王曦 诛仙 小白 50分钟剧情视频 桐山遥 大主宰清衍静NTR绿母中文配音34分钟AI上篇 AI剧 B中爱情故事 1-19集 AI剧 B中爱情故事 20-22集 讨魔传 新编 第1章 玉儿之堕 30分钟 AI短剧 少妇白洁 1-12 斗罗大陆 宁荣荣的堕落 31分钟 男子…
❤27
#虞小孽 #我妻柒柒 我妻柒柒·改 1 我妻柒柒·改 2 我妻柒柒·改 3 我妻柒柒·改 4 我妻柒柒·改(五) 我妻柒柒·改(六) 我妻柒柒·改(七) 我妻柒柒·改(八) 我妻柒柒·改(九) 我妻柒柒·改(十) 我妻柒柒·改(十一)
❤9
#日漫 #全彩 成熟的荡妇 坚贞不移的清纯人妻大小姐移情别恋的全过程 文学少女 1-3 人妻NTR温泉旅行 以前外遇对象的儿子其实是自己儿子的同学 1-3 再一次、重温那份快感 在白天和太太约会 1-6 试着把在迷宫捡到的格斗女孩的尸体做成僵尸的故事 总是很温柔的姐姐趁我不在意时居然 我的女友不想和我做爱 我与宅宅朋友的极上性爱 1-3 五姐妹攻略游戏 夏日 1-11 贤妻 妈妈交换狂欢会 1-4 被逼给爱妻的NTR视频加马赛克处理的我 对常来我家的辣妹为所欲为 白峰学院理事长 前后篇 被人睡走的爆乳金发人妻艾莲娜 被义兄抢走而堕落的椿 彼女催眠 1-3 风纪委员长胸部很大 和女上司搞婚外恋的故事 1-3 黑雪姬奴隶凌辱 妈妈被送回来了 第一次的人妻体验 妈妈我开动了 1-3+短篇 交换物语 内向顺从的女友拒绝不了NTR 异世界发情精灵魔眼 给人妻写情书 冴子姐被大学同学捉弄 1-3 妈妈也是女人啊 1-5 马尾辫酱肛门不…
❤24🔥1
#大芋泥啵啵 【剧情图文】尼可天使堕 【剧情图文】浔的败北一日 【剧情图文/CG】洛瑟菈胁迫沦陷 鸣潮绯雪落尘 【剧情图文/CG】维琳娜的“优雅”特训败北 秧秧·NTR的二次方 【剧情图文/CG】遐蝶的新衣服【NTR】 【剧情图文/CG】蕾米埃尔~雷普雌坠 清宵的灵魂契约败北
❤8
#gragas743 #AI Raiden mei-1 Raiden mei-2 Raiden mei 3-4 bronya 1-2 Aglaea 1-2 Cyrene-purelove純愛 1-2 Cyrene-ntr 1-2 seele-1 Raiden mei -5 silver wolf -1 remielle-1 kiana-1 kiana-2
❤4
#鱼翔浅底 #重口 枣泥之婶婶的陪伴 枣泥婶婶 2 之朋友的含金量 枣泥婶婶 3 之大慧时刻 我要去给我爸的情人当狗 爸爸的情人第二部 女神的后花园 爸爸的情人第三部 地主家的傻儿子
❤13😁2
#LeeAI #AI 轻熟风人妻 青莲剑宗 青莲剑宗-师尊停脚足交 当仙子抛弃我后 师娘身上的吻痕
❤14
#nico #我成了大反派 我成了大反派01-37(完)+特典 我成了大反派_第二季 1-58 压缩包 我成了大反派第三季 1-7 我成了大反派第三季 8-10 我成了大反派第三季 11 我成了大反派第三季 12 我成了大反派第三季 13 我成了大反派第三季 14 我成了大反派第三季 15 我成了大反派第三季 16 我成了大反派第三季 17 我成了大反派第三季 18 我成了大反派第三季 19 我成了大反派第三季 20 我成了大反派第三季 21 我成了大反派第三季 22 我成了大反派第三季 23 我成了大反派第三季 24 我成了大反派第三季 25 我成了大反派第三季 26 我成了大反派第三季 27 我成了大反派第三季 28 我成了大反派第三季 29 我成了大反派第三季 30 我成了大反派第三季 31 我成了大反派第三季 32 我成了大反派第三季 33 我成了大反派第三季 34 我成了大反派第三季 35 我成了大反派第三季 3…
❤24👍3
#アイス #冰恋 寝室杀戮 01-05 (完) 漫展之后二 1-3 漫展之后二 4 漫展之后二 5 漫展之后二 6 冥婚 1 冥婚 2 冥婚 3 冥婚 4 冥婚(终) 女上司的身后事 嗜尸法医 1-3 嗜尸法医 4 终点站 1-2 摄影师的复仇 1-5 嗜尸法医 5 终点站 3 终点站 4-5 窃居房东 1-4 静潮之下 1 静潮之下 2
❤27
#溶洞里的毛毛虫二号机 #AI 小西美母教师 总集 上 小西美母教师 总集 下 老婆的怪癖 1 仙媳攻略 1-7 老婆的怪癖 2 老婆的怪癖 Part.3
❤16👎2
#Komachan #百合 #AI 1 芙莉莲的大胜利 2 芙莉莲的大危机 3 芙莉莲的大救赎 4 芙莉莲的大抉择 (上) 4.5 芙莉莲的大抉择 (下) 5 芙莉莲的大试炼(上) 愿此行 终抵~少女们的足垫
❤12
Showing the 12 most recent of 21 posts we hold for @manhuamulv. 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.
@manhuamulv edited 6 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.
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“漫画分类目录” (@manhuamulv), 29,640 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/manhuamulv.
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.