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Channel

国产黄色成人中文小说

@av2291

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

8,482subscribers

+222 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002393536595
TypeChannel
Username@av2291
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live11 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/av2291

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 the other topics.

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 in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 6 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@xiaoshuo678/6387619 Aug 2026, 15:43 UTC@av2291/90374 · this entry19 Aug 2026, 15:44 UTC1.00under a minute
@xiaoshuo678/6400628 Aug 2026, 05:06 UTC@av2291/91534 · this entry28 Aug 2026, 05:06 UTC1.00under a minute
@xiaoshuo678/660133 Nov 2026, 01:42 UTC@av2291/101417 · this entry3 Nov 2026, 01:43 UTC1.00under a minute
@xiaoshuo678/660143 Nov 2026, 01:44 UTC@av2291/101418 · this entry3 Nov 2026, 01:44 UTC1.00under a minute
@xiaoshuo678/660625 Nov 2026, 22:16 UTC@av2291/101659 · this entry5 Nov 2026, 22:17 UTC1.00under a minute
@xiaoshuo678/660907 Nov 2026, 14:40 UTC@av2291/101857 · this entry7 Nov 2026, 14:40 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@xiaoshuo678132 (8/8 hand-verifiable sample passed)1.00under a minute@xiaoshuo678 (132–0)
@xiaoshuo78541 (8/8 hand-verifiable sample passed)1.00under a minute@xiaoshuo785 (41–0)
@ZWMP310 (8/8 hand-verifiable sample passed)1.003.0 hours@ZWMP3 (6–4)

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. 179 of the 179 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 318 comparable posts for this entry, running 13 August 2026 to 14 November 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).

Of the group of 6 channels, the one whose matching posts we hold earliest is @xiaoshuo678. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 15 November 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.

Channels linked by matching posts

This channel is in a group of 6 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

8,2608,4938,376.513 August 2026 — 8,260 subscribers15 August 2026 — 8,264 subscribers17 August 2026 — 8,278 subscribers20 August 2026 — 8,294 subscribers23 August 2026 — 8,316 subscribers26 August 2026 — 8,332 subscribers30 August 2026 — 8,333 subscribers1 September 2026 — 8,327 subscribers6 September 2026 — 8,332 subscribers11 September 2026 — 8,341 subscribers14 September 2026 — 8,350 subscribers19 September 2026 — 8,357 subscribers29 September 2026 — 8,399 subscribers6 October 2026 — 8,427 subscribers12 October 2026 — 8,451 subscribers15 October 2026 — 8,458 subscribers18 October 2026 — 8,469 subscribers21 October 2026 — 8,467 subscribers24 October 2026 — 8,461 subscribers27 October 2026 — 8,460 subscribers30 October 2026 — 8,461 subscribers2 November 2026 — 8,468 subscribers5 November 2026 — 8,485 subscribers8 November 2026 — 8,493 subscribers11 November 2026 — 8,482 subscribers8,48213 August 202611 November 2026
25 measurements spanning 90 days, net +222. 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 8,225–8,528 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
11 Nov 2026, 21:168,482-11
8 Nov 2026, 06:508,493+8
5 Nov 2026, 12:118,485+17
2 Nov 2026, 14:458,468+7
30 Oct 2026, 21:298,461+1
27 Oct 2026, 21:378,460-1
24 Oct 2026, 22:508,461-6
21 Oct 2026, 17:018,467-2
18 Oct 2026, 14:478,469+11
15 Oct 2026, 10:208,458+7
12 Oct 2026, 19:288,451+24
6 Oct 2026, 11:008,427+28
29 Sept 2026, 20:208,399+42
19 Sept 2026, 10:378,357+7
14 Sept 2026, 14:398,350+9
11 Sept 2026, 00:588,341+9
6 Sept 2026, 08:188,332+5
1 Sept 2026, 23:068,327-6
30 Aug 2026, 04:138,333+1
26 Aug 2026, 22:568,332first reading

Engagement

654 posts held, back to 13 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.46%
avg views ÷ 8,482 subscribers
Avg views / post
39.0
432 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
433
of 654 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 8 of 432 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 November 2026
Posts held654 (13 August 2026 – 14 November 2026)
Views total16,862
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 23:04 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

Videos
≈1
Links
≈24,400

Lifetime counters from Telegram’s own channel header, read 14 November 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
1h 35m
Average length
6m 51s

Measured directly from 14 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

12 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤866.7%
👍433.3%

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 15 of the 654 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 654 most recent posts we hold, published 13 August 2026 to 14 November 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

Telegram’s own ‘edited’ marker: 0 of 433 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

14 Nov 2026, 22:32 UTC4 viewsread 14 November 2026

✦ | 🌟次元互推B9精品车队🌟 | ✦ 初中高中大学生白虎㊙️学生萝莉 ✦ 星河长明♥万家灯火 ✦ 国产黄色成人中文小说 ✦ 最爱四坑少女了【汉服反差二次元】 ✦ 免费音乐小说破解软件💖 ✦ 巨乳控大奶子 GOGO ✦ 米绅士原创cosplay涩涩圈 ✦ 🙇‍♀️91国产AV福利姬收藏夹🔞 ✦ 奶子控制了大脑 ✦ 🐷抖阴图片生成视频助手官方群 ✦ 抖音美女媚黑收集圈 ✦ ASMR /cosplay/ 福利姬 ✦ 裸舞/舞团/广场舞 ✦ 重口味丨扩阴扩肛丨SM 调教 ------------------------ ❤️点击参与互推 ------------------------ 异世界VPN机场9.9 恶堕❤️圣女

14 Nov 2026, 22:29 UTC4 viewsread 14 November 2026

尤物互推【频道E1】 科技新闻大事件 1. 韩国国产三级片剧情精选 2. 动漫福利资源库 3. 中文歌曲 4. 韩国主播直播录屏分享 5. DJ音乐随机听👂🏻 6. 韩国女主播极品 7. 吃瓜猎奇新闻 8. 世界杯足球篮球电竞体育赛事推单 9. 里番动漫天堂

14 Nov 2026, 16:35 UTC51 viewsread 14 November 2026

#频道互推 #相似推荐 ------------------------------ 📢 精选 麻豆 剧情 国产 反差 视频 📢 国产乱伦家园 📢 反差母狗1v1盯射寸止阿黑颜 📢 精选日本AV女优高清中文字幕 📢 推特抖音风裸舞短视频 📢 推特onlyfans精品视频 📢 套图-免费私密图片/人物包装 📢 【精神小妹】母狗反差 📢 扣扣粉粉嫩嫩的东西 📢 自慰福利姬 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

14 Nov 2026, 16:23 UTC51 viewsread 14 November 2026

开云体育 🌟全球领先品牌,提现大额无忧。 🌟买球网址: http://kai231.com 🌟如遇打不开,关闭VPN切回国内网络即可⚠️⚠️⚠️ MK飞投 🌟网址: http://mk3551.com 🌟飞投: https://t.me/MK888bot?start=19408985_B

14 Nov 2026, 15:19 UTC56 viewsread 14 November 2026
File

名称:《水畔的莎草》 简介:...水畔的莎草 前言 作者:王秋枫 屋前的花圃边边一洼小小的水池,池中漂浮着几朵水芙蓉,池畔生长着一丛绿意盎然的莎草。那丛莎草是一个偶然的机会,我在八掌溪畔发现的,当时我并不知道它的名子,只是觉得好美,叶子摊开像伞骨一样绿油油地,于是就将它带回家栽植,起先不知它的生长习性,只是随便找了一个花盆种...

14 Nov 2026, 15:18 UTC51 viewsread 14 November 2026
File

简介:...谁能告诉我,该怎么拯救我的痴母啊 (上) 作者:qwert79268 20101109发表于:色中色 * 看了山文大师的痴母类动漫,真的让我久久不能誓怀,最遗憾的是没能看到山姬实的第一部,这篇文章如果不写出来我实在很难受,我写的时...

14 Nov 2026, 15:17 UTC45 viewsread 14 November 2026
File

名称:《谁比谁苦逼》BY疯子三三_现代_警匪_伪直男攻X腹黑受_直掰弯.txt 简介:... 书名:谁比谁苦逼 作者:疯子三三 文案 有什么比发现裸 聊对象是自己的发小还苦逼? 当然有,那就是你的裸 聊对象不仅是自己的发小,还是个试图掰弯你的gay 这是一个自称直男却又不太直的小攻,和一个无时无刻试图掰弯他的腹黑小受间,谁比谁苦逼的欢脱故事 轻松竹马文,小虐怡情,大虐没有 CP晨曦攻 林易受 ( 1... #情侣

14 Nov 2026, 15:16 UTC43 viewsread 14 November 2026
File

名称:《谁把你的长发盘起》.txt 简介:...谁把你的长发盘起 南方某大城市一家省级精神疾病康复医院。早上7点30分,在院长办公室里,40岁的马汉超院长正在专心地写一篇论文。 这位在本省精神疾病康复方面的权威人物,刚带领一帮年轻的大夫发明出新的科研新成果,在治疗精神忧郁症,自闭症,记忆力丧失等方面走到了全国领先的位次。 “铛、铛……”... #年轻

14 Nov 2026, 15:15 UTC43 viewsread 14 November 2026
File

名称:《双子座历险记》作者:美迈克尔·斯科特.txt 简介:... 序幕 这个女孩儿年满十五岁,可看上去并不年轻,她的模样长得比实际年龄大得多。她的面庞原先红润又俏丽,现在却变得松弛,失去了光泽,不再那么妩媚迷人。尤其是前额和那双亮晶晶的大眼睛下面,已经刻上了深深的皱纹。她那浓密的粟色头发里混杂着缕缕白发,甚至连掉头发的地方也露出了少许秃斑,更增添了几分丑... #年轻

14 Nov 2026, 15:14 UTC40 viewsread 14 November 2026
File

名称:《双子座历险记》作者:美_迈克尔·斯科特.txt 简介:... 序幕 这个女孩儿年满十五岁,可看上去并不年轻,她的模样长得比实际年龄大得多。 她的面庞原先红润又俏丽,现在却变得松弛,失去了光泽,不再那么妩媚迷人。 尤其是前额和那双亮晶晶的大眼睛下面,已经刻上了深深的皱纹。 她那浓密的粟色头发里混杂着缕缕白发,甚至连掉头发的地方也露出了少许秃斑,更增添了几分丑... #年轻

14 Nov 2026, 15:13 UTC39 viewsread 14 November 2026
File

名称:《双性家族之看尽落花能几醉》BY鼓手** 简介:... 双性家族之看尽落花能几醉(生子)1 残阳黯淡,暮色苍茫。 微冷的晚风更是吹得万山萧条。 静寂的羊肠小道,零星的树木花草,浸在浅浅的夕照里,一副沈沦的伤。 仿若要让人尝尽惘然的滋味一样,连落叶都舞得那麽凄凉。 然而这一切都没那由远及近的马蹄声来得萧杀和空旷。 疾驰而来的骏马,在一棵大树前...

14 Nov 2026, 15:12 UTC39 viewsread 14 November 2026
File

名称:《双星》作者:[美]罗伯特·海因莱因.txt 简介:... 资料收集于网上,版权归原作者所有 Xinty665 免费制作 第一章 不速之客 要是一个人走过来,衣服穿得土里土气,而举止动作却仿佛整个地区都属于他,那他一定是个宇航员。 这种看法是完全合乎逻辑的。凡是宇航员,他的职业自会使他觉得好像世界上的一切都是由他主宰的;一踏上地球,他就难免在人们中...

Showing the 12 most recent of 654 posts we hold for @av2291. 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 recorded as deleted after publishing

We recorded 18 posts on @av2291 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
20 August 2026
Most recent seen missing
14 November 2026
Median time before seen missing
12 hours
Seen missing in the last 30 days
12

Mentions

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.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“国产黄色成人中文小说” (@av2291), 8,482 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/av2291.

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.