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Telegram profile photo for 里番NSFW动漫💎韩漫画

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

290,440subscribers

+12,494 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 April 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held100
Confirmed unchanged1 time, most recently 26 September 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

237,602293,385265,493.5290,4406 August 202626 September 2026
100 measurements spanning 51 days, net +12,494. 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 229,235–301,752 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 100
Measured (UTC)SubscribersChange
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, 21:58265,471+8,276
15 Sept 2026, 06:16257,195-74
15 Sept 2026, 05:21257,269-411
15 Sept 2026, 00:17257,680-3,387
13 Sept 2026, 18:00261,067+6,333
13 Sept 2026, 11:00254,734+3,688
13 Sept 2026, 06:21251,046-4,425
12 Sept 2026, 02:02255,471+3,702
11 Sept 2026, 15:37251,769-261
11 Sept 2026, 11:35252,030-3,214
9 Sept 2026, 20:19255,244-1,944
8 Sept 2026, 23:57257,188-381
8 Sept 2026, 15:01257,569first reading

Engagement

1,304 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 143 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.95%
avg views ÷ 290,440 subscribers
Avg views / post
5,660
771 posts measured
Reaction rate
0.368%
reactions ÷ views · ER floor
Posts in window
771
of 1,304 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 748 of 771 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 27 September 2026
Posts held1,304 (6 August 2026 – 27 September 2026)
Views total4,360,902
Reactions total15,877
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 03:13 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
≈4,500
Videos
≈3,690
Links
≈1,000

Lifetime counters from Telegram’s own channel header, read 27 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.

Video runtime
49h 57m
Average length
6m 39s

Measured directly from 451 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

19,778 reactions across 958 posts, in 11 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6,18531.3%
🔥4,32821.9%
😍4,21821.3%
👏4,18221.1%
❤7263.67%
🎉420.212%
🤔350.177%
👎330.167%
😢270.137%
😁10.005%
🥰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 963 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 19,778 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 20 August 2026 to 27 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.

Recent posts

27 Sept 2026, 02:12 UTC≈7,870 views11 reactionsread 27 September 2026
Photo

[HOT CALPIS] 受験疲れの女子をお持ち帰りした話 [中国翻訳] 类型:#同人志 #黑白 #有码 作者:#HOT CALPIS 页数:42 点击阅读:打开漫画 标签: #JK #眼镜娘 #阿黑颜 #口爆 #HOTCALPIS受験疲れの女子をお持ち帰りした話中国翻訳

👍5👏3😍2❤1

27 Sept 2026, 02:10 UTC≈8,280 views11 reactionsread 27 September 2026
Photo

[オクタ工房 (オクタ)] 憧れの友ママとマッチングした件 [中国翻訳] [DL版] 类型:#同人志 #黑白 #有码 作者:#オクタ 页数:58 点击阅读:打开漫画 标签: #人妻 #熟女 #巨乳 #69 #口爆 #乳交

👍5😍3👏2❤1

27 Sept 2026, 01:00 UTC≈6,960 views21 reactionsread 27 September 2026
Video

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27 Sept 2026, 00:00 UTC≈7,400 views16 reactionsread 27 September 2026
Video

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😍8👏7❤1

26 Sept 2026, 23:44 UTC≈7,390 views16 reactionsread 27 September 2026
Video

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🔥8👍7❤1

26 Sept 2026, 23:43 UTC≈7,580 views16 reactionsread 27 September 2026
Video

#涩图 #动漫 #漫画 #壁纸 #背景

🔥8👍7❤1

26 Sept 2026, 23:43 UTC≈8,500 views26 reactionsread 27 September 2026
Video

#涩图 #动漫 #漫画 #壁纸 #背景

👍10👏8😍8

26 Sept 2026, 23:00 UTC≈8,470 views16 reactionsread 27 September 2026
Video

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26 Sept 2026, 22:00 UTC≈6,550 views26 reactionsread 27 September 2026
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26 Sept 2026, 21:33 UTC≈8,370 views26 reactionsread 27 September 2026
Video

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🔥10👍9👏6❤1

26 Sept 2026, 20:30 UTC≈8,390 views16 reactionsread 27 September 2026
Photo

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😍8👏7❤1

26 Sept 2026, 14:20 UTC≈9,570 views13 reactionsread 27 September 2026
Photo

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🔥6😍6❤1

Showing the 12 most recent of 1,304 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“里番NSFW动漫💎韩漫画” (@LFHDM), 290,440 subscribers as measured 26 September 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.