😀 😀宝子们,抽奖了,评论区送一句万卷好运来 🥰

Channel
万卷书屋/小说推荐/禁忌书屋
@wanjsw
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
193,223subscribers
+3,123 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 | -1002346066655 |
|---|---|
| Type | Channel |
| Username | @wanjsw |
| Description | 成人文学爱好者的聚集地 萬巻書屋 |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/wanjsw |
Topic
Literature — 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 90% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 14:49 | 193,223 | +296 |
| 11 Aug 2026, 17:48 | 192,927 | +445 |
| 10 Aug 2026, 20:18 | 192,482 | +482 |
| 9 Aug 2026, 17:02 | 192,000 | +391 |
| 8 Aug 2026, 20:03 | 191,609 | +580 |
| 7 Aug 2026, 16:37 | 191,029 | +671 |
| 6 Aug 2026, 14:01 | 190,358 | +258 |
| 6 Aug 2026, 04:07 | 190,100 | first reading |
Engagement
180 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.95%
- avg views ÷ 193,223 subscribers
- Avg views / post
- 3,770
- 178 posts measured
- Reaction rate
- 0.217%
- reactions ÷ views · ER floor
- Posts in window
- 180
- of 180 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 153 of 178 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 180 (5 August 2026 – 12 August 2026) |
| Views total | 670,262 |
| Reactions total | 1,316 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:01 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
- ≈21
- Links
- ≈253
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.
Reaction mix
1,194 reactions across 135 posts, in 8 distinct kinds. The most used accounts for 96.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,146 | 96.0% | |
| ⚡ | 20 | 1.68% | |
| 👍 | 14 | 1.17% | |
| 🔥 | 6 | 0.503% | |
| 🥰 | 4 | 0.335% | |
| 👏 | 2 | 0.168% | |
| 🍓 | 1 | 0.084% | |
| 🎉 | 1 | 0.084% |
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 153 of the 180 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 1,316reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 180 most recent posts we hold, published 5 August 2026 to 12 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
Posted without readable text
❤3👏2🔥2🥰2🎉1
Posted without readable text
🌺Novice map🦋🎉
❤12
Photo, posted without a caption
☝️给上面的哈基米点点小爱心😀🖱
🦋
❤36
https://t.me/boost/wanjsw
❤2
群友求书—— 书名:公主恋人 希尔薇·范·霍森篇 作者:🔎空蝉 文件:简体中文 · EPUB · 20MB · 质量:9.2分 分级:🔞刘备/#日轻 标签:#哲平 #玛丽亚 小说简介: PS:没看过😁,可以投稿🎉,写一下读后💬,评论区有惊喜⭐,不要错过🖱 如果是纯爱点点小爱心😀,如果是NTR点点⚡
❤3
群友求书—— 书名:维修工与巨乳人妻们的欢愉 作者:🔎葬刀 分级:🔞刘备/#后宫 标签:#陈昊 #顾婉怡 #赵瑛曼 #魏琴烟 小说简介: 圆润的两瓣水蜜高高翘起,因为睡裙很短,这一来露出了些许白皙屯柔,配上美腿看起来那么的诱惑,在蜂腰跟巨臀的冲击下,愈发显得高耸的肥屯性感十足。 PS:没看过😁,可以投稿🎉,写一下读后💬,评论区有惊喜⭐,不要错过🖱 如果是纯爱点点小爱心😀,如果是NTR点点⚡
❤4
群友求书—— 书名:三生霜(连载至46) 作者:🔎十夜 分级:🔞刘备/#纯爱 标签:#晏平 #翟心蕊 #柳千枫 #秦紫珊 小说简介: 进到屋内,陆瑾溪随手关上了门,又抬手一挥,一道透明的隔音禁制如水波般荡开,将整个房间包裹得严严实实。 外界的风声、竹叶沙沙,全都隔绝在外,只剩两人急促的呼吸在室内回荡。 她转过身,不由分说地双手环住齐晏平的脖子,踮起脚尖,将柔软的唇瓣压了上去。 那吻带着一丝急切,唇齿相依间,她的身体微微颤抖,仿佛要将十五年的思念都倾注其中。 PS:没看过😁,可以投稿🎉,写一下读后💬,评论区有惊喜⭐,不要错过🖱 如果是纯爱点点小爱心😀,如果是NTR点点⚡
❤2
群友求书—— 书名:魅戮校园(连载至54) 作者:🔎吃米驴 分级:🔞刘备/#后宫 标签:#小柔 #夏玥 #悠二 #塔尼娅 小说简介: 一阵嗡嗡响的机械声过后,原本熬了一个通宵正在寝室呼呼大睡的我,竟然站在一个陌生又有些熟悉的教室里,并且周围也站着三四十个同样一脸迷茫的男女,只不过这些人我完全没有印象。 就在众人屏气凝神的时候,突然教室前方的黑板上出现了一个长着翅膀,穿着极其优雅,身材更加离谱的小恶魔! PS:没看过😁,可以投稿🎉,写一下读后💬,评论区有惊喜⭐,不要错过🖱 如果是纯爱点点小爱心😀,如果是NTR点点⚡
❤2
Showing the 12 most recent of 180 posts we hold for @wanjsw. 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 — 97,814 of 1,084,084entries 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 19 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.
Named by
Channels on the register whose posts name this channel's handle.
@freeresource · 28,2974 posts夸克网盘资源俱乐部
@kkdj001 · 6,0704 posts115影视资源分享频道
@QukanMovie · 28,5323 postsAPPDO的互联网记忆
@appdopic · 15,5382 posts赛博忏悔室
@cyber_confessional · 39,3822 posts飞鱼资源分享|冲浪指南|软件工具
@feiyu123 · 60,5372 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 37,2102 posts朱颜别镜 | 妹子图 | 美女图
@meizitu3 · 48,7602 posts App Store 限免应用 & ...
@ooapps · 8,1782 posts不是白嫖,这叫借鉴(备用)
@baipiaou · 31,4361 post便宜机场测速
@cheap_proxy · 25,5491 post桔子导航|中文频道|新人指南
@daohang6611 · 1,8121 postFFQ Cloud 订阅|id分享中心
@ffqidfx · 6,5721 post爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 7,9771 post晨曦🏙电台/瓦尔登湖思绪症
@sensei_baozang · 1801 post书墨资源
@shumozy · 20,2211 post全能搜书|频道
@soushu456 · 4,0851 post小众机场测评
@sstrojan · 17,7001 post桔子导航|中文频道|新人指南
@yewuziyuan · 61 post
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,390,5813 postsAPPDO的互联网记忆
@appdopic · 15,5381 post爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 7,9771 post公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 37,2101 post App Store 限免应用 & ...
@ooapps · 8,1781 post115影视资源分享频道
@QukanMovie · 28,5321 post频道索引&推荐
@recommend3 · 105,2061 post书墨资源
@shumozy · 20,2211 post
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.
“万卷书屋/小说推荐/禁忌书屋” (@wanjsw), 193,223 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/wanjsw.
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.