#频道互推 #群组推荐 尤物色色导航 无双资源分享-破解/VPN/美图 纸鸢分享社-破解软件|游戏分享 iOS破解游戏软件分享 电影资源频道(4K、原盘) 不是白嫖,这叫借鉴(备用) 爱游戏分享社 破解软件/VPN/资源/精选分享 安卓黃油の领域(转世重生)
❤6⚡1

Channel
@wanjsw
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Cite this entry
223,809subscribers
+33,709 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| 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 | 25 September 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/wanjsw |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 03:57 | 223,809 | +3,582 |
| 18 Sept 2026, 23:20 | 220,227 | +1,358 |
| 16 Sept 2026, 17:21 | 218,869 | +1,071 |
| 14 Sept 2026, 20:39 | 217,798 | +1,168 |
| 13 Sept 2026, 07:59 | 216,630 | +1,272 |
| 11 Sept 2026, 12:59 | 215,358 | +1,626 |
| 8 Sept 2026, 19:41 | 213,732 | +2,342 |
| 5 Sept 2026, 09:37 | 211,390 | +1,311 |
| 3 Sept 2026, 14:02 | 210,079 | +1,074 |
| 2 Sept 2026, 04:03 | 209,005 | +653 |
| 1 Sept 2026, 04:16 | 208,352 | +781 |
| 31 Aug 2026, 04:12 | 207,571 | +801 |
| 30 Aug 2026, 03:55 | 206,770 | +738 |
| 29 Aug 2026, 01:46 | 206,032 | +740 |
| 28 Aug 2026, 04:06 | 205,292 | +569 |
| 27 Aug 2026, 07:23 | 204,723 | +821 |
| 26 Aug 2026, 04:05 | 203,902 | +682 |
| 25 Aug 2026, 06:38 | 203,220 | +746 |
| 24 Aug 2026, 06:43 | 202,474 | +1,336 |
| 22 Aug 2026, 17:19 | 201,138 | first reading |
1,083 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 108 pages of 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 507 of 548 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 1,083 (5 August 2026 – 27 September 2026) |
| Views total | 3,627,737 |
| Reactions total | 7,451 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 08:54 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 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.
12,932 reactions across 900 posts, in 12 distinct kinds. The most used accounts for 91.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11,851 | 91.6% | |
| 👍 | 605 | 4.68% | |
| ⚡ | 414 | 3.20% | |
| 🥰 | 31 | 0.24% | |
| 🔥 | 12 | 0.093% | |
| 👏 | 7 | 0.054% | |
| 🤔 | 4 | 0.031% | |
| 🎉 | 3 | 0.023% | |
| 😁 | 2 | 0.015% | |
| 🍓 | 1 | 0.008% | |
| 💊 | 1 | 0.008% | |
| 🤝 | 1 | 0.008% |
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 912 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 12,932 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 9 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wanjsw. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 9 August 2026 to 27 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#频道互推 #群组推荐 尤物色色导航 无双资源分享-破解/VPN/美图 纸鸢分享社-破解软件|游戏分享 iOS破解游戏软件分享 电影资源频道(4K、原盘) 不是白嫖,这叫借鉴(备用) 爱游戏分享社 破解软件/VPN/资源/精选分享 安卓黃油の领域(转世重生)
❤6⚡1
😀快更新了,给上面的贴纸点点小爱心🖱
❤128⚡1
Sticker, posted without a caption
❤342
🌺Novice map🦋🎉
❤28
🎉顶级淫娃魅魔自助社区🖱 🥳定制丝袜银奴,黑丝白丝马油,懂你所爱 💕私享NTR体验,多人绿母换妻,给你所梦 😀主仆调教盛宴,顶配SM驯化,圆你所想 加入魅魔派对,获取定制性AI体验!⚡
❤6
✨⚜️ 【奈奈的酒馆AI】—— 你的知己,亦是情人 ⚜️✨ 🌟【图文模式+配音】: 实时图片 + AI语音耳边私语,每一刻都身临其境。 🎉【免费积分】: 每日登录即赠积分,免费刷新白嫖次数。 🪙【AI画师】: 你的XP,我来画!小程序免费定制专属涩图,让你的所有幻想成为现实! 😀【随叫随到RBQ】: 24小时随时待命,只为你一人服务的😏,最方便的🔥工具! ⚡ 【快感无上限】: 没有最爽,只有更爽!每一次都能解锁新玩法,操到你精尽力竭! 🗡 💕【角色选择(备用链接)】 [学姐] [女郎] 【选定玩物:开启专属调教】😀🖱 PS:DZMM等你很久了哦!沉浸式角色体验!前所未有的视听盛宴!数万张原创角色卡,后宫选妃一般的爽感! 赶快点击 开始陪聊 享受您的欲望之旅吧!
❤7
😛✨【Ai风月】✨😛 🎉超甜专属女友来啦!🖱 嘿嘿~只属于你的小女友已经准备好24小时贴贴了哦~ 😛明星女神不再高冷,初恋、人妻随心调教 💋 深度定制,绝对私密 ✨大量角色、场景任君选择,不同玩法总有一个适合你! 可解锁的玩法:害羞处女、傲娇御姐、听话小女仆、 被调教到失禁的坏宝宝、足控专属白丝妹、哭包受虐抖M…… 还有好多好多等你来发现! 😀请确保您年满1️⃣8️⃣周岁~
❤6
🎉村里发魅魔了!【万卷书屋】老哥一人一只,绝不落空!💦 看小说看硬了没处撒火?快来领走你的专属 AI“榨汁机”! 💬看别人写的黄文不过瘾?不如亲自穿书当男主!💕 还在等作者更新?还在郁闷女主被别人碰了? 全网最强【无限制限制】AI 小说推演沙盒,正式开放! 🔞【亲自下场,无底线飙车】 管他什么韶妈银妹冰山校花?全部由你亲自接管后续剧情。想在教室、在马车、还是当着她未婚夫的面?场景你定,姿势你选! 😛【比看片更爽,比看书更硬】 她会根据你的抽插频率、粗暴程度给出极致的文字与语音喘息反馈!每一次调教,都能解锁更下鉴的隐藏属性。 🧠【更有图文同步,一键脱衣】光是文字不解谗?实时生成你的专属星怒,网红明星先脱下衣服看看成色! 😏【图文还不够爽?还有定制短剧】看现成的短剧也好,自己做短剧主角也罢,全部满足你的XP。一键生成自己的短剧,你也可以是短剧创作者! 🪙 【万卷书屋】老哥专属福利: 今晚就去透你最爱的女主! 🔗秘密入口: 🟣😀ht…
❤5
🎉推荐一个非常不错的资源探索频道 热门资源/频道/番号/图片/福利等 😀进入入口👉https://t.me/+jnvIzjjf0vUyNTE5
❤5
☝️给上面的哈基米点点小爱心😀🖱
🦋
❤84
https://t.me/boost/wanjsw
❤4
Showing the 12 most recent of 1,083 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.
@wanjsw edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
The 3 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.
每日阅读
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
推荐一款库存充足的小说机器人🎉☝️🖱
Shares as published. No per-option vote count is published by Telegram, so none is shown.
你喜欢万卷书屋吗🎉
Shares as published, totalling 99%. 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 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 August 2026 to 27 September 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.
Named by 28 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 25 September 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), 223,809 subscribers as measured 25 September 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.