Channel
@xiaoshuonn
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
33,642subscribers
-138 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001843278460 |
|---|---|
| Type | Channel |
| Username | @xiaoshuonn |
| Description | 人设套图【亚洲女】：https://t.me/taotua_A1 人设套图【亚洲男】：https://t.me/taotua_A2 人设套图【欧洲女】：https://t.me/taotu_AT3 人设套图【欧洲男】：https://t.me/taotua_A4 人设套图【女私密】：https://t.me/taotua_A5 三国演义【生成器】：https://t.me/TG_SGYY0l 精选海外【素材馆】：https://t.me/sucai_taotu135 广告合作联系： @taotu135 |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/xiaoshuonn |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 20:56 | 33,642 | -26 |
| 14 Aug 2026, 14:04 | 33,668 | -28 |
| 13 Aug 2026, 05:17 | 33,696 | -11 |
| 12 Aug 2026, 03:32 | 33,707 | -16 |
| 11 Aug 2026, 04:03 | 33,723 | -4 |
| 10 Aug 2026, 03:31 | 33,727 | -27 |
| 9 Aug 2026, 04:11 | 33,754 | -10 |
| 8 Aug 2026, 06:50 | 33,764 | -16 |
| 7 Aug 2026, 10:18 | 33,780 | first reading |
39 posts held, back to 7 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 22 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 20 of 39 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 | 39 (7 August 2026 – 12 August 2026) |
| Views total | 35,203 |
| Reactions total | 21 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 04:01 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.
Lifetime counters from Telegram’s own channel header, read 16 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.
Measured directly from 2 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.
21 reactions across 16 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 100.0% |
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 20 of the 39 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 7 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.
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#淫妇的继母的调教 妖艳的继母（经典调教）字数：16429 耳边不断传来女性班主任讲课的声音，在一片粗重的呼吸声中，还夹杂着夏日的蝉鸣声，这个闷热的午后，让人感受不到一丝风的气息。年纪和丽姨差不多，不过气质却差远了。这是下午的第一节课，由于天气太热，大家的劲头明显不高。 赵松把玩着手中的中性笔，脑子又转到了继母的身上。他现在完全没办法集中精力去上课，月考就要到了，这种状态自己恐怕会死得很惨。 「今天的课就上到这儿吧！」下课铃声几乎同时响起，班主任收拾好备课资料，走出了教室。 「兄弟，想什么呢？」陈晋来到赵松的身旁，拍了拍他的肩膀。赵松看着班主任远去的背影，脸上带着疑惑的表情，说道：「我观察过她很久了，她从没有看过手表，她最近怎么每次都能掐着点下课？」...
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#出轨之母 文中以儿子的角度讲述，妈妈一边在情人目前表现的极尽淫荡风骚之能事，一边在儿子面前尽力表现的端庄慈祥，而最后又被恶人要挟失身，而且还是尽量在儿子面前保持着母亲的身份，而全然不知自己的淫态早已被儿子尽收眼底，也许这就是一个母亲同时也是一个女人的不易，既要为了家庭打拼，同时又不忍心放弃自己作为女人应得的肉体之乐，实在是即矛盾又精彩第一部第01章 我妈名叫沈绣琴，已经四十三岁了。年轻的时候她就是个漂亮的女人。而且这么多年过去，或许是保养的不错，也可能是往昔所经过的岁月在她身上根本没有留下任何痕迹。所以看上去依然只有三十几岁的样子。她一米六五的身高，大大的丹凤眼清澈如水，睫毛修长黑亮，柳眉黝亮细长，鼻梁挺直秀气，朱唇娇艳丰润。那张如鹅蛋般圆润的俏脸几乎没有任何瑕疵，皮肤也细腻白皙，体态丰满而匀称，没有丝毫赘肉；特别是她那对高耸的Ru房还依旧圆硕坚挺，双腿也仍然修长丰盈。她本来是县里商业局的工会干事。几年前由于机关单位机构改革…
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#衣冠禽兽（暂定名） 作者：凝玉 相亲之前 陈串串 其实离毕业还有一学期呢，但大四了，除了学分没修够的忙一点，基本上，所有人都在撒欢。 这时候最主要的节目，当然是找各种由头聚餐，今天，是毕业前的“第一次”散伙饭。 “陈串串，喝一杯？” 陈串串正在和身边的海燕聊天，听见招呼，转头，看见班上503寝室的刘勇鹏和齐磊站在她面前。心里多少有些明白，只等着他们开口。 刘勇鹏见她不出声，笑了笑，然后用手推了下同寝：“最后的机会了啊，你赶紧的。” 齐磊倒没什么大表情，只抬了抬手中的酒杯，说了句“我敬你”，完了一口喝干。 见他做到这个份上，陈串串也不好太扭捏，何况这点酒她是不怕的，于是站起身也端起酒杯，慢慢地把一整杯喝了下去。...
#神雕风流+神雕游侠 2部 神雕游侠 第一章 精尽人亡“为什么天气就是这么的闷热，让人连复习的欲望都没有了，”他慵懒地靠在椅子上，咬着笔尖，看着时钟，已经是夜晚十一点，估计这会儿正是校园情侣密集时刻。这里是S大学，我们的主人公李庭是S大学大二的一名学生，再过几天就期末考了，他不用心才奇怪呢。李庭翻阅着课本，就觉得越是用心看就越是看不懂，就像念无字天书一样。李庭扫眼正在打呼噜的室友，无聊的他只好拿上手机走出寝室。“还是外面的空气清新呀，”李庭不禁感慨道。走出宿舍楼，李庭就信步走在幽静的操场上，夏夜的风打在他的脸上，他满足地伸了个懒腰。比起成天呆在宿舍上网和复习课本，抽点时间还外面走一走还是很爽的，就像Zuo爱达到了高潮一样。
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#浴火情潮 第一章 走向远方 1杜子海最后一眼望了望故乡，似乎这一望，就等于和故乡的亲人做了道别，故乡依旧娴静，象一个安静的少女，隐在灿烂的朝霞里，隐在薄薄的白色的晨雾里，杜子海终于下定决心，头也不回的大踏步前行，村庄读不懂他的忧伤和不舍，而远方的车站不会因为他的不舍而稍做停留。当火车的汽笛拉响的时候，杜子海明白，真的是故乡告别了，虽然耳边的声音依旧纷乱，但是他知道中途下车所填充的都是不同的声音，对于他来说，孤单的不仅仅是身影，还有他寂寞的灵魂。他喝了一小口水，因为旅程才刚刚开始，所以他不敢太奢侈的享受一切，农家的勤俭节约被他很好的继承了下来，闭上眼睛，邻家女孩小梅的影子又悄悄的钻进了他的脑海里，眼前纷乱的世界和火车的轰鸣都仿佛安静了下来。...
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#迷失在日本的天堂 1章节 东条居社一片高等的别墅群之间。座落着一坐豪华的阁府，如果你上前去看会发现门口的几个大字：东条居社。李正天在别墅的五楼高高在上地俯视着下面的美景，双目带着一丝落寞，有些伤神，时而无奈地轻叹一声，显得孤独而忧郁。如果是日本官场与医界中人，那么你肯定应该听过吉田玉媚这个名字。不然你就是那种完全上不了台面的那种男人了，只要稍微知道一点历史就知道吉田玉媚是东条英机这个甲级战犯的媳妇，号称政界与医界的冰山女神，更有人戏称为东亚第一美女。东条居社虽然比不上天皇家族与忍者家族。然而谁也不能否认它在日本政界中确实占有一席之地，离翻云覆雨也是不远了，更重要的是当今家主东条久亚，才智与手段都在上上之选，堪为当代枭雄，本人更习得空手道真传，成为宗师级的人物，实际如此，空手道也是出于他祖上门下，据闻他一拳就可以将一头牛打得倒地而亡。...
#岳母,被我干后的性福_0 今天我出差谈业务，岳母开车到机场送我，因我和女友闹意见，心情不好，脸上的表情被岳母看了出来。 「和小颍到底怎么回事？」岳母略带严肃的问我。 （实际上我还未结婚，因为是女友的母亲，便称呼岳母了） 「没什么啊，最近工作不太如意，不想把情绪带给小颍！」岳母看了我一眼似乎尚有疑虑。我不再说话，看着车窗外的街景，心里一阵烦躁。妈的，那么好的天气我却一付鬼心情，自己看自己都不顺眼。 「喔！到了。」 「好的，谢谢伯母！」我打开车门，岳母探出半个头向我微微一笑：「到了给小颍打个电话。」 「好的，我会的，代我向小颍问好。」 岳母一踩油门，轿车一阵风似的转眼就消失在街头。我想着岳母刚才的眼神心里有点不寒而栗…… 岳母出身世家，祖辈几代镇守边陲，至民国时代起家境开始没落之后和普通人家无异。但那流淌在身体内的血液却无时无刻不在证明岳母的高贵血统，岳母是独生女也许为重振祖宗基业吧，风华正茂的时候下嫁当地一位毫无…
#我被胁迫合伙迷奸妈妈 这是我的真实经历：我叫刘鸣洋，１９９３年出生，今年２１岁，两年前高中毕业考上了本省的一个二本的普通大学，结果入学没多久，自己便融入了大学安逸颓废的氛围当中，无心学习整天打游戏，旷课，网聊泡妹子，总之浑浑噩噩，无所事事。直到开学的两个月后，我大学所在市的人武部征兵办来我们学校征大学生士兵，我得知这一消息心里一动，于是便报名参军了。经过政审体检，我还真幸运的入伍了，正是由于来到了部队，认识了一个家伙，才引发后来的一些特殊经历。 我入伍训练后分到的连队，是属于后勤类的，不是一线作战部队，所以日常生活比较清闲，每天除了站岗就是给领导打打饭，跑跑腿，送个文件什幺，剩余时间就是休息。在我们班里有一个老兵，说是老兵，也没有多老，就比我大两岁，比我早当了三年兵，所以我得叫他一声班长。此人叫薛宇，东北大汉，１米８多的身高，体型壮硕，一身蛮力，我们班的新兵都很怕他，但是由于我们是上下铺，我平日里有很老实，任劳任怨，他对我也…
Showing the 12 most recent of 39 posts we hold for @xiaoshuonn. 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.
@xiaoshuonn 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.
Citation-graph rank — 1,204,685 of 1,481,217entries 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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“成人小说精选” (@xiaoshuonn), 33,642 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/xiaoshuonn.
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.