Channel
@xiaoyingxiaoxiong
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,747subscribers
+703 since we began measuring on 27 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1004307446148 |
|---|---|
| Type | Channel |
| Username | @xiaoyingxiaoxiong |
| Created | Between 1 June 2026 and 7 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 27 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/xiaoyingxiaoxiong |
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 |
|---|---|---|
| 17 Sept 2026, 03:56 | 1,747 | +63 |
| 13 Sept 2026, 06:41 | 1,684 | +68 |
| 9 Sept 2026, 06:19 | 1,616 | +139 |
| 3 Sept 2026, 12:19 | 1,477 | +165 |
| 30 Aug 2026, 19:46 | 1,312 | +218 |
| 28 Aug 2026, 04:48 | 1,094 | +50 |
| 27 Aug 2026, 17:30 | 1,044 | no change |
| 27 Aug 2026, 17:17 | 1,044 | first reading |
10 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 1 page 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 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 August 2026 |
|---|---|
| Posts held | 10 (7 August 2026 – 27 August 2026) |
| Views total | 2,310 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 17:30 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.
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.
11 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 72.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 72.7% | |
| 👍 | 1 | 9.09% | |
| 🔥 | 1 | 9.09% | |
| 😁 | 1 | 9.09% |
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 6 of the 10 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 7 August 2026 to 27 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.
‼️‼️展览会福利群： 免费拿5折6折7折优惠 和抽奖 白嫖 现金红包 本群专属手势认证高质量老师 上海艺术展览会福利群： https://t.me/+nFnE0wANtSRkMjEx 点击进去备用群 上海艺术展览会总榜单：https://t.me/+2i_egsiBxNFlNmJh 上海艺术展览会人气推荐榜 https://t.me/+vOj1VuT48NE3MDc1 上海艺术展览会中转平台 https://t.me/+-sIwH2NalFw2MzEy 展览会老师广告群 @shanghaiyishu 个人推荐频道88🧧 📡 上榜管理：@yishuja_bot 📡 管理秘书：@Yishujia798_bot
两个一起你选的明白吗🤣#cos萝莉 #cos爱弥斯 #cos达尼娅
做完你的，做他的，都别急一个一个来
这种榨汁什么的最狠了。长宁萝莉Coser在线等爸爸～ ^_^ #cos妃咲 #cos爱弥斯
大胆要，真给
👍1🔥1😁1
两个小恶魔想一起吃爸爸的牛牛，一起吃一起👅一起做。直接就🤪 嘻嘻，欢迎预约两个小恶魔，榨干爸爸的精液。
❤6
两个白虎萝莉一起给哥哥足，体验过的都知道有多爽，懂得都懂😁
柴郡和可畏一起伺候主人吃秋天的第一根肉棒😁
福利群：https://t.me/fzxch01 【时间】：2026-07-09 【人照评分】：9 【颜值评分】：9 【服务评分】：9.2 【态度评分】：9.5 【综合评分】：9 【狼友留名】：leo 【老师艺名】：小樱小熊 【水费】：7500 【过程描述】：刚进门就看看到小樱穿着和服迎接，然后热情给水，简单问候了几句交了钱就邀请我和小熊泡泡浴，小樱负责按摩。聊天十分热情有趣，听了许多有意思的事情，之后冲干净之后就上床先第一次，非常舒服情绪价值拉满。稍作休息之后的气垫床上的按摩和日式服务非常爽第一次体验简直太舒服了。 【温馨提醒】：报告仅供参考，个人观点，请理性选择，切勿对号入座 注：提交报告需要约课记录
❤1
Cos服列表，都有编号有名字，选好后告诉我们就行
❤1
Showing the 10 most recent of 10 posts we hold for @xiaoyingxiaoxiong. 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.
Named by 4 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“上海二次元 Cos 白虎萝莉 双飞 泡泡浴” (@xiaoyingxiaoxiong), 1,747 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/xiaoyingxiaoxiong.
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.