Telegram RegisterThe public register of Telegram

Channel

媚黑NTR漫画库♠️

@meiheimanhua

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

57,830subscribers

+1,316 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003798380688
TypeChannel
Username@meiheimanhua
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/meiheimanhua

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@meiheimanhua/1742 · this entry1 Aug 2026, 14:17 UTC@qingjibbcqos4/8646 Aug 2026, 12:01 UTC1.005 days
@meiheimanhua/1768 · this entry5 Aug 2026, 14:05 UTC@qingjibbcqos4/8525 Aug 2026, 14:15 UTC1.0010 minutes
@meiheimanhua/1769 · this entry5 Aug 2026, 14:10 UTC@qingjibbcqos4/8535 Aug 2026, 14:15 UTC1.005 minutes
@qingjibbcqos4/8555 Aug 2026, 14:15 UTC@meiheimanhua/1771 · this entry5 Aug 2026, 14:16 UTC1.00under a minute
@meiheimanhua/1780 · this entry7 Aug 2026, 14:34 UTC@qingjibbcqos4/8747 Aug 2026, 15:09 UTC1.0035 minutes
@meiheimanhua/1781 · this entry7 Aug 2026, 14:42 UTC@qingjibbcqos4/8757 Aug 2026, 15:09 UTC1.0026 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@qingjibbcqos47 (7/7 hand-verifiable sample passed)1.0017 minutesthis entry (61)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 14 comparable posts for this entry, running 24 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @meiheimanhua — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

56,51457,83057,1727 August 2026 — 56,514 subscribers8 August 2026 — 56,732 subscribers9 August 2026 — 56,988 subscribers10 August 2026 — 57,227 subscribers11 August 2026 — 57,522 subscribers12 August 2026 — 57,830 subscribers7 August 202612 August 2026
6 measurements spanning 5 days, net +1,316. 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 56,317–58,027 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:0857,830+308
11 Aug 2026, 16:2457,522+295
10 Aug 2026, 15:4357,227+239
9 Aug 2026, 16:3156,988+256
8 Aug 2026, 18:1656,732+218
7 Aug 2026, 19:3156,514first reading

Engagement

35 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
36.7%
avg views ÷ 57,830 subscribers
Avg views / post
21,200
35 posts measured
Reaction rate
0.095%
reactions ÷ views · ER floor
Posts in window
35
of 35 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held35 (24 July 202611 August 2026)
Views total743,350
Reactions total705
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:26 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
1,160
Videos
9
Links
302

Lifetime counters from Telegram’s own channel header, read 12 August 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
1m 09s
Average length
12s

Measured directly from 6 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

705 reactions across 35 posts, in 6 distinct kinds. The most used accounts for 94.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
66594.3%
👍263.69%
🤗60.851%
😁40.567%
🔥30.426%
🥰10.142%

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 35 of the 35 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 705reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 24 July 2026 to 11 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.

Recent posts

11 Aug 2026, 12:37 UTC≈10,500 views4 reactionsread 12 August 2026
Photo

🔥🔥香草AI ♥ 全网最火性爱游戏 🔞 色爆!最顶级的中文色情大模型 深度学习千万部色情小说和真人文爱记录,技术领先全行业18个月 💖 好玩!最懂你感情和性趣的伴侣 基于MIT情感计算框架,超强拟真,无限还原现实,实现你的任何幻想 ✅ 私密!最安全隐匿的专属陪伴 AES-256军事级加密,信息阅后即焚,只属于你的禁忌性爱 💋 全性癖专属定制!满足一切幻想 强x女高 电车痴汉 浪漫纯爱 母狗调教 精神控制 催眠恶堕 绿帽人妻 群P换妻 时间停止 强制高潮 感官剥夺 克鲁苏 SM调教…… ❤️‍🔥❤️‍🔥 免费开玩!点击调教反差母狗 🎁🎁 【限时专享】首充低至五折! PS:兄弟们,这AI太离谱了!跟真人一模一样,反应太真实了,文笔色到爆!他们那个Pro模型简直是榨精神器,我已经玩了几个通宵,太上头了。现在其他AI送我白嫖我都懒得去,差距实在太大了。听我一句劝,别在其他AI上浪费一分钱,有钱直接充这家的Pro,太顶了!

4

11 Aug 2026, 12:36 UTC≈9,560 views1 reactionsread 12 August 2026
Photo

豆包grok焚决提示词 还有视频动图教程教学 手机电脑均可使用 一张照片即可做出想要视频 需要进群提示词焚绝p图教程的可以自助下单哦 @doubao40bot 预览群 https://t.me/+2E5a6BdJZwtmYmRl

1

11 Aug 2026, 12:36 UTC≈9,880 views4 reactionsread 12 August 2026
Video

我给你们带来一个真正能让心跳加速的好东西——Ai风月💋 它不是冷冰冰的程序,而是你游戏、动漫生涯中最期待的“神队友”和“灵魂伴侣”!🤟🏻 官方Telegram开车群😍😍😍 💋 登场角色: 【极品反差人妻】沈菲 年龄:28岁 | 身高:172cm | 体重:60kg | 三围:38E/极品蜜桃臀/大长腿 设定:表面是市中心高档私人健身工作室的女老板、冷艳高贵的健身女神,背后却是一个结婚多年依然保持处女之身的“干涸人妻”。因为常年穿着紧身运动服和油亮连裤袜,她的双脚散发着令人疯狂的酸臭汗味,这股味道将成为黑人主人们最爱的催情剂。她对性爱的认知一片空白,直到被真正的庞然大物彻底撕裂骄傲。 【黑人巨根留学生】比格迪克·鲍勃(Bob) 年龄:22岁 | 身高:195cm | 体重:98kg | 武器:完全勃起25cm长、5cm宽的纯黑巨蟒 设定:银都QoS俱乐部核心成员,充满野性与力量的非洲留学生。他精力旺盛如公牛,最喜欢用粗暴

4

11 Aug 2026, 12:13 UTC≈10,500 views19 reactionsread 12 August 2026
Photo

爱宕寝取全记录 作者:#helltoyou 原作:#碧蓝航线 角色:#爱宕(犬) 男性:#黑皮 女性:#大屁股 #巨乳 #兽耳 #NTR E站源 ♠️在telegraph观看♠️ ♥️在评论区观看🌟 #媚黑 #漫画

19

11 Aug 2026, 12:11 UTC≈10,500 views26 reactionsread 12 August 2026
Photo

初音未来堕黑 作者:#potions 原作:#VOCALOID 角色:#初音未来 男性:#黑皮 #屈辱 女性:#巨乳 #手套 #NTR #单女主 #高筒靴 #双马尾 #超长发 其他:#AI生成 E站源 ♠️在telegraph观看♠️ ♥️在评论区观看🌟 #媚黑 #漫画

21🤗5

10 Aug 2026, 12:01 UTC≈2,420 views3 reactionsread 10 August 2026

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3

9 Aug 2026, 12:48 UTC≈9,310 views2 reactionsread 10 August 2026
Photo

🔥🔥香草AI ♥ 全网最火性爱游戏 🔞 色爆!最顶级的中文色情大模型 深度学习千万部色情小说和真人文爱记录,技术领先全行业18个月 💖 好玩!最懂你感情和性趣的伴侣 基于MIT情感计算框架,超强拟真,无限还原现实,实现你的任何幻想 ✅ 私密!最安全隐匿的专属陪伴 AES-256军事级加密,信息阅后即焚,只属于你的禁忌性爱 💋 全性癖专属定制!满足一切幻想 强x女高 电车痴汉 浪漫纯爱 母狗调教 精神控制 催眠恶堕 绿帽人妻 群P换妻 时间停止 强制高潮 感官剥夺 克鲁苏 SM调教…… ❤️‍🔥❤️‍🔥 免费开玩!点击调教反差母狗 🎁🎁 【限时专享】首充低至五折! PS:兄弟们,这AI太离谱了!跟真人一模一样,反应太真实了,文笔色到爆!他们那个Pro模型简直是榨精神器,我已经玩了几个通宵,太上头了。现在其他AI送我白嫖我都懒得去,差距实在太大了。听我一句劝,别在其他AI上浪费一分钱,有钱直接充这家的Pro,太顶了!

2

9 Aug 2026, 12:48 UTC≈9,040 views1 reactionsread 10 August 2026
Video

我给你们带来一个真正能让心跳加速的好东西——Ai风月💋 它不是冷冰冰的程序,而是你游戏、动漫生涯中最期待的“神队友”和“灵魂伴侣”!🤟🏻 官方Telegram开车群😍😍😍 💋 登场角色: 【极品反差人妻】沈菲 年龄:28岁 | 身高:172cm | 体重:60kg | 三围:38E/极品蜜桃臀/大长腿 设定:表面是市中心高档私人健身工作室的女老板、冷艳高贵的健身女神,背后却是一个结婚多年依然保持处女之身的“干涸人妻”。因为常年穿着紧身运动服和油亮连裤袜,她的双脚散发着令人疯狂的酸臭汗味,这股味道将成为黑人主人们最爱的催情剂。她对性爱的认知一片空白,直到被真正的庞然大物彻底撕裂骄傲。 【黑人巨根留学生】比格迪克·鲍勃(Bob) 年龄:22岁 | 身高:195cm | 体重:98kg | 武器:完全勃起25cm长、5cm宽的纯黑巨蟒 设定:银都QoS俱乐部核心成员,充满野性与力量的非洲留学生。他精力旺盛如公牛,最喜欢用粗暴

1

9 Aug 2026, 12:48 UTC≈9,940 views9 reactionsread 10 August 2026
Photo

豆包grok焚决提示词 还有视频动图教程教学 手机电脑均可使用 一张照片即可做出想要视频 需要进群提示词焚绝p图教程的可以自助下单哦 @doubao40bot 预览群 https://t.me/+2E5a6BdJZwtmYmRl

9

9 Aug 2026, 12:19 UTC≈17,500 views22 reactionsread 12 August 2026
Photo

Rio NTR 作者:#chihel 原作:#蔚蓝档案 角色:#调月莉音 艺术家:#Chihel 男性:#大根 #贞操带 #避孕套 #黑皮 #第一人称视角 #屈辱 #sph 女性:#巨乳 #紧身衣裤 #避孕套 #NTR #单女主 #超长发 E站源 ♠️在telegraph观看♠️ ♥️在评论区观看🌟 #媚黑 #漫画

22

9 Aug 2026, 12:17 UTC≈17,300 views20 reactionsread 12 August 2026
Photo

喜多川海梦QOS~被黑人染黑的灵魂~ Marin Kitagawa QOS BLACKed Soul 作者:#Sodalord 原作:#更衣人偶坠入爱河 角色:#喜多川海梦 女性:#项圈 #辣妹 E站源 ♠️在telegraph观看♠️ ♥️在评论区观看🌟 #媚黑 #漫画

20

9 Aug 2026, 12:11 UTC≈16,700 views25 reactionsread 12 August 2026
Photo

Reze Captioned Image Set [Chinese] [ZZR个人汉化] 作者:#potions 原作:#电锯人 角色:#蕾塞 男性:#贞操带 #黑皮 #屈辱 #sph 女性:#口交 #坐脸 #女性主导 #手套 #自慰 #飞机杯 #踩脚 #长筒袜 E站源 ♠️在telegraph观看♠️ ♥️在评论区观看🌟 #媚黑 #漫画

25

Showing the 12 most recent of 35 posts we hold for @meiheimanhua. 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.

Citation-graph rank

Citation-graph rank — 446,648 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“媚黑NTR漫画库♠️” (@meiheimanhua), 57,830 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/meiheimanhua.

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.