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Channel

里番NSFW动漫💎韩漫画

@LFHDM

3 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

315,946subscribers

+38,000 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002697041895
TypeChannel
Usernames@LFHDM @loulianvip @youxizhibo
Description频道商务广告真假自辨 投稿商务合作唯一联系人 : @TRYMAZOURI #动漫 #里番 #二次元 #cosplay
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 October 2026
Measurements held112
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/LFHDM

Topic

Adult — 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 99% 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

237,602323,417280,509.5315,9466 August 202614 October 2026
112 measurements spanning 69 days, net +38,000. 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 224,730–336,289 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 112
Measured (UTC)SubscribersChange
14 Oct 2026, 16:47315,946-69
14 Oct 2026, 15:29316,015-14
14 Oct 2026, 15:17316,029-2,301
13 Oct 2026, 08:01318,330-73
13 Oct 2026, 05:38318,403-113
13 Oct 2026, 03:50318,516-4,901
9 Oct 2026, 06:00323,417+4,382
8 Oct 2026, 23:58319,035-98
8 Oct 2026, 22:17319,133+17,607
4 Oct 2026, 15:58301,526-8
4 Oct 2026, 15:18301,534-51
4 Oct 2026, 09:00301,585+11,145
26 Sept 2026, 13:58290,440+1,538
26 Sept 2026, 12:01288,902+14,747
25 Sept 2026, 20:37274,155+12,014
19 Sept 2026, 11:57262,141-2
19 Sept 2026, 10:59262,143-3,010
17 Sept 2026, 08:40265,153-215
17 Sept 2026, 01:37265,368-103
16 Sept 2026, 21:58265,471first reading

Engagement

1,694 posts held, back to 6 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 188 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.23%
avg views ÷ 315,946 subscribers
Avg views / post
7,040
695 posts measured
Reaction rate
0.314%
reactions ÷ views · ER floor
Posts in window
695
of 1,694 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 690 of 695 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 October 2026
Posts held1,694 (6 August 2026 – 14 October 2026)
Views total4,891,354
Reactions total15,320
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Oct 2026, 18:38 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
≈4,890
Videos
≈3,760
Links
≈1,110

Lifetime counters from Telegram’s own channel header, read 14 October 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.

Video runtime
46h 56m
Average length
7m 22s

Measured directly from 382 videos 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

21,639 reactions across 979 posts, in 11 distinct kinds. The most used accounts for 32.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7,05832.6%
👏4,58121.2%
😍4,57521.1%
🔥4,51820.9%
❤7653.54%
🎉420.194%
🤔360.166%
👎340.157%
😢270.125%
😁20.009%
🥰10.005%

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 984 of the 1,000 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 21,639 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 3 September 2026 to 14 October 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.

Recent posts

14 Oct 2026, 17:30 UTC≈2,170 views3 reactionsread 14 October 2026
Photo

🧢K8凯发打造全网最牛逼全类型模拟器 🧢 🎉 全新上线积分制 🌈 积分爽刷短视频 🌈 积分抽取最高888U 🌈 积分刷礼物做大哥 🌈 积分兑换爆率拉满 🌈 真人妹妹福利走肾直播 🎉 存百送百再送额外88888积分 ➗➗➗➗➗➗➗➗➗➗➗ 官方福利频道: https://t.me/pgdianzishiwanpg 凯发招商总监: https://t.me/playace33 海外注册网址: https://shopyj8.com 每日新闻实时: https://t.me/meirixinwenquan 成人福利领取:@K8masix6bot 存一百送一百:@aingye ➗➗➗➗➗➗➗➗➗➗➗ 官方凯发注册链接 https://www.k8f167.com https://www.k8f174.com ➗➗➗➗➗➗➗➗➗➗➗ 全类型模拟器:电子,棋牌,捕鱼,短视频,妹妹直播 ➗➗➗➗➗➗➗➗➗➗➗ 🐣 存百送百无需实名 🐣 …

👍3

14 Oct 2026, 14:20 UTC≈9,480 views21 reactionsread 14 October 2026
Photo

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👍7😍7🔥6❤1

14 Oct 2026, 14:12 UTC≈7,950 views29 reactionsread 14 October 2026
Photo

陰鬱系辣妹愛好是被人當作配菜 [Chinese] 类型:#同人志 #黑白 #有码 作者:#ナツザメ 页数:73 点击阅读:打开漫画 标签: #辣妹 #痴女 #自慰 #阿黑颜 #高潮 #后入

👍14😍8👏7

14 Oct 2026, 14:10 UTC≈8,260 views29 reactionsread 14 October 2026
Photo

黑人转校生NTR加奈子的赌注2 类型:#韩漫 作者:#lizarb,原作者:#テラスMC 页数:102 点击阅读:打开漫画 标签: #韩漫 #黑人转校生NTR加奈子的赌注2 #人妻 #h漫 #漫画

👍11😍9👏8❤1

14 Oct 2026, 11:44 UTC≈9,860 views27 reactionsread 14 October 2026
Photo

#涩图 #动漫 #漫画 #壁纸 #背景

👍9👏9😍9

14 Oct 2026, 11:44 UTC≈8,800 views27 reactionsread 14 October 2026
Photo

#涩图 #动漫 #漫画 #壁纸 #背景

👍10😍10👏7

14 Oct 2026, 11:43 UTC≈10,600 views27 reactionsread 14 October 2026
Photo

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😍10👍9👏7❤1

14 Oct 2026, 11:43 UTC≈8,870 views27 reactionsread 14 October 2026
Photo

#涩图 #动漫 #漫画 #壁纸 #背景

🔥9😍9👍8❤1

14 Oct 2026, 11:30 UTC≈9,160 views27 reactionsread 14 October 2026
Photo

痴女教会 不射满100次就不能出去的忏悔室 [Chinese] [倫倫倫个人汉化] 类型:#同人志 #全彩 #有码 作者:#アオイ堂 页数:35 点击阅读:打开漫画 标签: #修女 #痴女 #逆强制 #开大车 #阿黑颜

😍10👍9👏7❤1

14 Oct 2026, 10:00 UTC≈9,040 views25 reactionsread 14 October 2026
Video

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🔥10👍9👏6

14 Oct 2026, 09:07 UTC≈1,910 views27 reactionsread 14 October 2026
Photo

基里尔的完美身材太吸睛,巨乳学生母狗,野外直播色站被正太男主看到,小马开大车既视感 #基里尔的完美身材太吸睛巨乳学生母狗野外直播色站被正太男主看到 #动漫 #里番 #少年成为大人的夏天 #动漫精选 少年成为大人的夏天 1 由PoRO petit制作,改编自同名原作,讲述雾岛龙辉(Ryuki Kirishima)的禁忌故事。龙辉自幼丧亲,与姐姐玲子相依为命,视她为至高存在。某夏日,他在秘密基地与朋友观看成人网站,迷上超新星“基里尔大人”(Kiriru)的视频。基里尔拥有丰满乳房、完美腰线与诱人臀部,令从不为之动心的龙辉心动不已。某天,基里尔竟全裸出现在他面前,点燃禁忌欲焰,羞耻与快感交织,龙辉的夏日回忆就此展开。PoRO以细腻画风刻画龙辉的迷恋与堕落,带来2024年9月的禁忌冲击!

👍10🔥10👏7

14 Oct 2026, 05:30 UTC≈7,380 views27 reactionsread 14 October 2026
Photo

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👍9👏9😍9

Showing the 12 most recent of 1,694 posts we hold for @LFHDM. 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 16 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.

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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“里番NSFW动漫💎韩漫画” (@LFHDM), 315,946 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/LFHDM.

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.