Channel
@haoshupinf
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
18,497subscribers
+502 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002674350945 |
|---|---|
| Type | Channel |
| Username | @haoshupinf |
| Description | 专注于各类成人小说的评分、讨论，通过打分系统帮助避雷和筛选作品 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/haoshupinf |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 19:45 | 18,497 | +119 |
| 13 Aug 2026, 10:14 | 18,378 | +65 |
| 12 Aug 2026, 07:32 | 18,313 | +55 |
| 11 Aug 2026, 07:25 | 18,258 | +46 |
| 10 Aug 2026, 09:21 | 18,212 | +84 |
| 9 Aug 2026, 07:51 | 18,128 | +99 |
| 8 Aug 2026, 07:12 | 18,029 | +34 |
| 7 Aug 2026, 18:16 | 17,995 | no change |
| 7 Aug 2026, 18:07 | 17,995 | first reading |
97 posts held, back to 5 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 19 pagesof 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. It is computed over the 31 of 97 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 97 (5 August 2026 – 14 August 2026) |
| Views total | 125,636 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 09:43 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 15 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.
24 reactions across 21 posts, in 2 distinct kinds. The most used accounts for 95.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 95.8% | |
| 👍 | 1 | 4.17% |
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 31 of the 97 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 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 5 August 2026 to 14 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.
本频道专注整理分享各类网络资源，提供分类导航与社群指引。 受平台管控影响，统一在此更新最新链接，方便大家浏览查阅、避免失联。 🎬禁忌收藏 收集全网优质资源，综合跨越不同领域与性趣。这里总有你喜欢的，期待你的发现。 💌禁忌之匣 这里是你释放隐秘欲望与忏悔罪孽的角落。无论是不为人知的性癖，还是无处倾诉的罪恶，你都可以在此匿名分享——没有审判，没有边界，只有绝对的自由与隐秘。 注：互动评论可获积分兑换【堕魔修邪】门票，具体说明可打字“规则”查看 💬禁忌之匣【不搞黄】 来这里随便吐槽、随便发文、随心分享，容纳所有日常与碎碎念。 唯一规则：不搞黄！ 🔞禁忌资源仓 全网合集资源整合站，甄选优质影音内容，精细化分类整编，素材均来源于公开网络资源，品类齐全，方便检索查阅。 📖禁忌书榜 这里是成人小说社区，提供作品评分、深度讨论和创作空间，并通过直观的打分系统，帮助您轻松避雷、筛选佳作。 原创小说投稿可获【私密收藏】门票，具体说明可在评…
《离婚后的调教》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
走出法院的那一刻，莫雨感到的不是悲伤，而是复仇的解脱。前妻王雨轩和岳父的背叛，让他决定绝不放过。离婚只是开始，他手中握有王雨轩不堪入目的私密照片，以此为要挟，逼迫她每周与自己见面，满足他的生理需求，美其名曰“互相帮助”。王雨轩在羞耻与恐惧中屈服，却不知自己正一步步踏入深渊。 莫雨的调教从酒店房间开始，逐渐升级。他带王雨轩外出旅行，在车上、餐厅、酒店，用绳索、道具、公开暴露，不断挑战她的羞耻底线。王雨轩的身体在熟悉的挑逗下背叛意志，沉溺于扭曲的快感。而莫雨精心策划的“和好”假象，更让她在愧疚与欲望中越陷越深。 真正的转折发生在“虹庭会所”。莫雨暗中将王雨轩引荐给神秘的调教师三井然。在这里，王雨轩被迫拍摄另一名女子林萱冰的调教过程，却在视觉刺激与三井然的言语诱导下，自身深藏的受虐欲被彻底激发。她当众自慰、承认淫荡、甚至在高潮中分泌出乳汁，彻底沦为欲望的奴隶。而这一切，都被暗处的莫雨看在眼里。 当王雨轩以为自己的堕落是为了某种扭…
《老婆小诗调教》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
陈飞一直有淫妻癖，婚后不断调教护士妻子小诗，却始终无法实现公开凌辱的幻想。在网友张海的怂恿下，他开始用迷药让妻子昏睡，先是在家中让张海视频观看并捆绑玩弄，又故意放装修工人进屋轮奸昏迷的小诗。欲望如毒瘾般蔓延，陈飞变本加厉：深夜将只穿透明睡衣的小诗绑在公园路灯下，任由路过的醉汉肆意奸淫；甚至同意张海住进家中，两人在丈夫面前轮番侵犯被下药的妻子。 小诗在药物和持续调教中身体愈发敏感，张海趁机以“驱邪”为名接近清醒的她，逐步用心理操控取代药物。他引导小诗加入调教网站，拍摄各种淫秽照片视频，并带她在光天化日下的街头、工地公开裸露，让陌生民工随意玩弄。陈飞起初兴奋，却渐渐发现妻子沉沦于张海更强大的性能力，自己反而被冷落。 张海设下连环局：先谎称炒股亏损，诱导小诗自愿“卖身”为他赚钱；再安排假情人张兰接近陈飞，制造出轨假象。小诗发现丈夫“背叛”后心灰意冷，在张海安排下进入看守所供犯人集体泄欲，又混入黑帮控制的妓院当卧底。期间她遭受毒打却…
❤1
《调教女友小静》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
婚后，小静沉迷网游，在游戏里结识了自称“最爱大胸妹”的玩家杨龙，两人在虚拟世界结为夫妻。丈夫发现后非但不怒，反而暗中推波助澜，鼓励小静与网友视频裸聊。他假借出差，实则带着岳母在工厂办公室通过隐藏摄像头窥视一切。杨龙趁机登门，在丈夫的婚床上将小静彻底占有，连续数日尽情玩弄。丈夫在屏幕前看得血脉贲张，甚至与岳母交媾助兴。 杨龙食髓知味，搬来同城，将小静视为长期炮友和提款机。他更在游戏群中炫耀战果，分享小静的裸照与性爱细节。丈夫化身游戏玩家“霸道王”潜入其中，冷眼旁观妻子被当作谈资。一次线下聚会，丈夫以网友身份混入，亲眼目睹杨龙在KTV包厢当众将小静剥光抽插，而其他男伴也趁乱上下其手。深夜旅店大炕上，五人更轮流“偷吃”，在杨龙身边将半醒的小静肆意奸淫，丈夫也以“山哥”身份参与其中，体验着“偷情”妻子的扭曲快感。 为彻底放纵，丈夫将小静送往日本发展AV事业。公司职员藤田认出她是女优，以强势手段将她调教为专属性奴，在办公室、储物间肆意…
《陈友谅调教周芷若》
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
丐帮长老陈友谅终于等到了梦寐以求的“武林第一清纯处女”周芷若。她被点了穴道，无力反抗，只能眼睁睁看着自己蝉联多年的“最想上的女侠”头衔即将被摘下，取而代之的可能是“最好干的女侠”。陈友谅粗暴地撕开她的衣服，揉捏她丰满的巨乳，用肉棒夹弄乳沟，最后颜射在她精致的脸上。窗外挤满了偷看的丐帮弟子，议论纷纷。而周芷若在屈辱中竟生出异样的快感，开始幻想被更多男人包围、颜射，甚至泡在精液里。 陈友谅喝下壮阳药酒，又将肉棒塞进周芷若嘴里。起初她恶心欲吐，却在被迫的吞吐中渐渐沉溺，甚至主动舔舐他三年未洗的污垢肉棒，吞下精液。当陈友谅在她嘴里射精时，她陶醉地漱口、吞咽，意犹未尽。接着，她尝到了尿液，竟也疯狂爱上，主动吸吮，将一大泡尿全喝下肚，甚至催吐出来重新漱口再咽下。窗外的丐帮众人看得目瞪口呆。 药酒让陈友谅再次勃起。他分开周芷若湿透的双腿，用手指和舌头玩弄她稚嫩的阴户，然后一举捅破那层全天下男人都渴望的处女膜。剧痛让周芷若尖叫，但随即又被一…
《娼姬菲琳娜》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Telegram必备的搜索引擎，极搜JISOU帮你精准找到，想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5653554960
菲琳娜·坦米拉曾是阿蕾诺斯王国备受爱戴的“蓝宝石公主”，直到东方强敌的铁蹄踏碎她的家园。王国覆灭，家族尽殁，年仅二十岁的菲琳娜被掳至中立商业国华沙，沦为“迷莎”妓院的娼妓。她的噩梦始于一场公开的“破处仪式”，在众目睽睽之下，她被迫主动献出处女之身，随后身份被揭穿——昔日的公主，如今成了任人狎玩的“娼姬菲琳娜”。 然而，菲琳娜心中燃烧着复仇与救赎的火焰。她得知兄长——阿蕾诺斯的王子——尚在人间，但被贬为奴隶。为了筹集巨额赎金并暗中支持抵抗运动，她不得不忍受这地狱般的生活。妓院店主罗伯斯与调教师安迪深谙她的价值，利用她高贵的身份与不屈的意志，设计了一系列愈发残酷的公开凌辱：免费轮奸大会、农耕服务、人体喷泉、女体照明、木马游街……每一次“特别服务”都旨在将她彻底踩入泥泞，却又奇异地抬升着她的“身价”，吸引着从贫民到富商的各色看客。 在无尽的屈辱中，菲琳娜小心翼翼地周旋。她假意爱上浪子贝里以利用其传递消息，与幸存的侍女安合谋，又暗中…
Showing the 12 most recent of 97 posts we hold for @haoshupinf. 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.
The 6 most recent of 43 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
《离婚后的调教》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
《老婆小诗调教》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
《调教女友小静》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
《陈友谅调教周芷若》
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
《娼姬菲琳娜》
Shares as published. No per-option vote count is published by Telegram, so none is shown.
《静静的村落》
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 97 most recent posts we hold, published 5 August 2026 to 14 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 733,991 of 1,478,351entries 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“禁忌书榜” (@haoshupinf), 18,497 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/haoshupinf.
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.