Channel
@wanluoxiaoshuo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,594subscribers
+184 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002410362915 |
|---|---|
| Type | Channel |
| Username | @wanluoxiaoshuo |
| Description | 武侠 玄幻 都市 修仙 等 各种正经小说，不涉黄 黄色小说：t.me/xiaoshuoyellow 成人有声小说 ： t.me/soundxiaoshuo 求书：t.me/shuhuang_bot |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/wanluoxiaoshuo |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 09:05 | 9,594 | +104 |
| 13 Aug 2026, 02:37 | 9,490 | +72 |
| 10 Aug 2026, 12:14 | 9,418 | +8 |
| 10 Aug 2026, 07:00 | 9,410 | no change |
| 10 Aug 2026, 06:52 | 9,410 | first reading |
45 posts held, back to 4 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 6 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 8 of 45 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 August 2026 |
|---|---|
| Posts held | 45 (4 August 2026 – 18 August 2026) |
| Views total | 63,794 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 02:33 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 18 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.
9 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 88.9% | |
| 💔 | 1 | 11.1% |
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 8 of the 45 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 4 August 2026 to 18 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.
这部《寒门国舅》是一部以明朝弘治年间为背景的历史架空小说，融合了穿越、权谋、朝堂争斗与种田发家等多种元素。故事开篇便以主角张延龄穿越成为历史上有名的“国舅爷”为切入点，借由现代中医博士的灵魂与古代寒门子弟的身份碰撞，展开了一段既荒诞又充满野心的逆袭之旅。作者巧妙地将真实历史人物与虚构情节交织，在嬉笑怒骂间勾勒出一幅鲜活的大明官场浮世绘。 主角张延龄本是现代中医博士，一觉醒来却成了大明弘治朝寒门书生张峦的次子。他深知历史上姐姐会成为太子妃，自己则将是那位“浑浑噩噩也能封侯拜相”的国舅爷。于是，他放弃了苦读科举的漫漫长路，转而利用前世记忆与医术，辅佐父亲张峦在朝堂上步步为营，一边为太子解决难题，一边提前布局，试图避开历史上张家最终被清算的悲剧命运。他的核心目标简单粗暴：保住家族荣华，让所有威胁老张家的人从大明朝消失。 故事的世界观建立在成化末年至弘治初年的真实历史框架上，涉及东宫夺嫡、锦衣卫诏狱、西厂与司礼监的权力博弈，以及黄河…
《腐蚀国度》是一部以拟真丧尸生存网游为外壳，融合了废土求生、资源管理、战术射击与轻度种田元素的科幻冒险小说。作品将玩家置于一个由超级人工智能“曙光”构建的高度拟真虚拟世界“家园”中，其核心并非单纯的打怪升级，而是通过“捡破烂、造工具、种田、打怪”等硬核生存环节，模拟人类在极端环境下的挣扎与决策。故事起于网游，却不止于游戏，在虚拟与现实交织的设定下，探讨了资源分配、人性博弈与文明重建等深层议题。 主角林雾是一名即将踏入社会的普通大学生，因被智能AI“曙光”随机选中，成为百万重返地球的移民之一。他并非传统意义上的英雄，性格务实、略带吐槽属性，拥有出色的野外生存技能与敏捷属性加成。在游戏中，他必须面对真实痛感模拟、死亡扣分、资源匮乏等严苛规则，与形形色色的玩家和NPC互动，逐步揭开丧尸病毒爆发背后隐藏的真相。其核心设定在于“积分决定现实资源分配权”，使得每一次游戏内的选择都关乎未来现实生活的质量，赋予了生存挑战以沉重的现实意义。 …
《大家都是邪魔，怎么你浑身圣光？》是一部将东方玄幻、仙侠修行与反套路喜剧深度融合的连载小说。作品以“邪魔宗门中的圣光传人”为核心矛盾点，在传统修仙框架中注入大量反差萌与黑色幽默元素，同时保留了残酷的生存法则与层层递进的实力晋升体系。书中既有妖魔横行的末世苍凉，也有宗门内斗的暗流汹涌，更穿插了主角利用现代思维与“净化”异能巧妙破局的智斗桥段，形成一种“在深渊里发光”的独特阅读体验。 主角杨桉是一名穿越者，开局便身处一个王朝崩塌、妖魔肆虐的绝望世界。他继承了祖上传下的神秘经卷残页，意外觉醒了与整个邪魔体系格格不入的“圣光”能力——既能净化邪祟，也能在关键时刻伪装成最纯正的“邪魔”以自保。他拜入的敬天阁是个标准的邪道宗门，师尊命鹤老人阴险狡诈，师兄师姐各怀鬼胎，而杨桉必须在这群虎狼之中隐藏自己“浑身冒圣光”的秘密，一边苟且发育，一边利用信息差与净化能力将敌人玩弄于股掌之间。他谨慎、务实，信奉“保命第一”，却总在绝境中爆发出惊人的算计…
《不许在阳间搞阴间操作！》是一部融合了都市灵异、黑色幽默、诸天穿越与神话恶搞元素的脑洞大开的网络小说。作品大胆打破了传统灵异文的严肃基调，将现代社会的职场吐槽、网络热梗与西方驱魔、凯尔特神话、东方修仙等截然不同的体系进行强行缝合，形成了一种荒诞不羁又逻辑自洽的独特风格。故事节奏飞快，信息密度极高，在惊悚与搞笑之间反复横跳，给读者带来如同坐过山车般的阅读体验。 主角姜律是一个游走于规则边缘、三观极其“灵活”的利己主义者。他表面英俊风流，实则内心冷静，对所谓的正统权威充满蔑视。他既能在鬼宅中与女鬼谈笑风生，也能在教廷中混得风生水起，甚至还能凭借一手“改编”的竖琴技艺在凯尔特神话中撩动公主。他的核心能力并非传统的法力高强，而是惊人的适应力、社交手腕以及将一切阴间事物“阳间化”的诡异天赋，他总能以最出人意料的方式解决危机，并从中谋取最大利益。 故事的主线并非单一线性，而是围绕姜律在不同世界和时空中的穿梭冒险展开。从现代都市的凶宅奇遇…
重生零九，网瘾少年王野被亲爹一脚踹进部队戒网瘾，却意外开启了一条谁也没想到的军官之路。这部小说融合了重生、系统、军事、热血成长与轻松幽默等多种元素，以扎实的军旅生活细节为基底，讲述一个前世沉迷游戏、今生被强制入伍的主角，如何在纪律严明的军营中从“问题新兵”蜕变为优秀军官的爆笑又励志故事。故事既有现实向的部队训练、战友情谊，又有重生者视角带来的信息差优势与轻松爽感，节奏明快，代入感强。 主角王野，前世是个彻夜打游戏的网瘾青年，重生后家庭条件优渥，本以为能继续混日子，却因高考前夜通宵被父亲“大义灭亲”送入军营。他最大的“金手指”并非传统意义上的系统——系统启动失败，反而成了他成长路上的一个趣味插曲。他真正的依仗，是重生带来的成熟心智、对时代发展的预知，以及那股被游戏磨炼出的“不服输”和“钻营劲”。从被班长“特殊关照”的刺头新兵，到逐渐在训练中展露头角，他用自己的方式适应并征服了军营。 故事世界观以2009年前后的中国陆军部队为舞…
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《蜀山万妖之祖》是一部以中国古典仙侠名著《蜀山剑侠传》为根基进行再创作的网络小说，属于仙侠题材，融合了穿越、重生、神话志怪、洪荒元素与玄学数术推演体系。故事以现代高考生时飞阳意外穿越为起点，他附身于一条修行近三千年的黑龙，落入鼎湖龙宫，从此卷入蜀山世界正邪仙魔的宏大漩涡。小说既保留了原著中峨眉、青城、五台等剑仙门派的恩怨格局，又加入了主角对原剧情的预知与改写，在传统仙侠框架中注入现代思维与谋略，形成独特的“穿书破局”风格。 主角时飞阳本是热爱玄学数术的现代考生，因推算高考答案而猝死穿越，成为蜀山世界中注定被女剑仙魏枫娘斩杀的倒霉妖龙。他身怀轩辕黄帝遗留的玉匣天书，又面临换皮期任人宰割的致命弱点，却凭借前世对原著剧情的记忆与自身对易理数术的钻研，步步为营，逆天改命。他不仅修习无相仙遁、九天元阳尺等神通，更以天机书收纳神魂、九子母天魔为爪牙，从鼎湖妖龙逐步成长为搅动天下风云的万妖之祖，其核心魅力在于一个“知天命者如何扭转必死之局”…
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这是一部东方仙侠与凡人流结合的修仙史诗，融合了渔家少年逆袭、妖族争霸、宗门博弈、世家商战与因果轮回等元素。整体风格前期写实沉重，以江南水乡贫寒渔家的生存苦难切入，中期转入修仙界后节奏加快，热血与权谋并重，后期则带有人生顿悟与逍遥超脱的禅意。故事横跨世俗、修仙界、东海妖族与仙界，格局宏大，情感细腻，是一部典型的草根崛起、步步登天的长篇仙侠作品。 主角苏尘是周庄贫苦渔家之子，天生患“滴泪化石”的罕见怪病，落泪便会元气大伤，需珍贵参药续命。他十二岁便独自撑竹筏捕鱼贴补家用，却因父母无力负担欲将他卖入大户为奴，而决然离家出走。他的核心金手指是天生异禀与坚韧心性，在机缘下踏入修仙之路，从炼气、筑基、金丹、元婴一路攀升，更以白卜灵龟之躯统一东海灵龟部落，最终成为化神半圣。他的目标从最初只求活命、减轻家庭负担，逐渐转变为追求长生大道、了却因果，最终超脱轮回。 故事世界观从姑苏县城的码头集市、寒山道观，扩展到吴郡五大江湖帮派、朝歌仙城、东海…
这是一部末世废土背景下的系统流网文，融合了穿越、模拟游戏、超凡进化、黑色幽默与恶趣味元素。整体风格轻松诙谐又不乏紧张刺激，主角凭借一个名为“太初卷”的奇葩系统在废土上摸爬滚打，用各种逆天操作化险为夷，画风介于正经冒险与无厘头搞笑之间，时不时冒出让人忍俊不禁的骚操作。 主角徐束穿越到灾变后的地星，成为安全区里一个为养家糊口而冒险的底层青年。他意外获得自己前世制作的文字模拟游戏“太初卷”，可以消耗每日次数进行“传奇”或“征途”模拟，在模拟中死亡或搞事能获得道具与称号。开局就被蜘蛛怪“黑寡妇”抓进监狱，他靠着禁忌称号“仰卧起坐”和传说道具“十日终焉”，以极其离谱的方式反杀怪物，并捡到神秘金色方块，从此踏上超凡之路。他的目标是攒贡献点、提升境界、保护家人，同时不断用太初卷搞出惊天动地的大新闻。 世界观是灾变后的地星，人类在安全区、废土、荒原三重地圈中挣扎求生，超凡者通过“升格网络”与神秘的“列阵子”兑换能力，职业体系包含力士、赶尸人…
这是一部融合科幻末世、虚拟现实与进化悬疑元素的网络小说，整体风格暗黑而热血，节奏紧凑。故事以跨时代网游《净土》的公测为开端，将玩家卷入一个真实的末日世界，充满变异生物、神秘组织与轮回阴谋，既有生死搏杀的残酷，也有亲情与信念的温暖。 主角鹿不二是癌症晚期患者，父母是欧洛拉科技的首席研究员，留下神秘头盔。他进入游戏后发现自己在一个废墟世界，拥有天神之种，能吞噬暗质并获得力量。他的处境是独自挣扎求生，目标是生存、寻找真相，并最终对抗幕后黑手梅洛博士，阻止永劫轮回系统毁灭世界。 世界观以神树为核心，引发末日和进化，势力包括阿卡夏圣教、天人组织等。主线是鹿不二从茧中苏醒后，逐步揭露梅洛博士的阴谋，经历战斗、探索和记忆恢复，最终带着力量重生，回到原点准备决战。剧情推进通过主角的成长、势力冲突和轮回设定展开。 看点在于主角的能力成长、复杂阴谋和轮回设定，融合了系统流、末世生存和悬疑推理。适合喜欢末世、进化、虚拟现实和悬疑的读者。悬念是梅…
Showing the 12 most recent of 45 posts we hold for @wanluoxiaoshuo. 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 — 1,450,896 of 1,548,671entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“书荒网络小说” (@wanluoxiaoshuo), 9,594 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/wanluoxiaoshuo.
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.