Channel
@xiaohuang0011
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
1,663subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003194522157 |
|---|---|
| Type | Channel |
| Username | @xiaohuang0011 |
| Created | Between 1 October 2025 and 31 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/xiaohuang0011 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 06:19 | 1,663 | -3 |
| 11 Aug 2026, 05:13 | 1,666 | -1 |
| 8 Aug 2026, 05:46 | 1,667 | -1 |
| 7 Aug 2026, 21:03 | 1,668 | no change |
| 7 Aug 2026, 18:02 | 1,668 | first reading |
20 posts held, back to 12 May 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 pageof 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.
| Window | Rolling 30 days · latest post in window 21 July 2026 |
|---|---|
| Posts held | 20 (12 May 2026 – 21 July 2026) |
| Views total | 671 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 21:03 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 8 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.
#空港基地 @0927飞行员 #叶罗丽 #小C酱 #滨江区 #2026.7#1h 店铺：https://t.me/ylljlnpgroup/95842 颜值 8.8 身材 8.5 皮肤 8.8 敏感度 8 性格 8 综合体验 8.5 优点：高颜少萝、大长腿、视觉盛宴、有福利视频 缺点：暂时只能隔裤 过程：继上次刷大长腿少萝滑铁卢后，刷到最近新上的大长腿少萝，抱着试一试的心态预约了小C酱 是小C给我开门的，门一打开就看到长相很精致的少萝妹妹，颜值很能打，佩服叶罗丽的人照，不过刚开始的嗓音有点偏中性，进门一个踉跄，不过进门后貌似这个人格消失了，声音非常甜美还有一点夹。刚好赶上特殊情况，前半段时间一直好奇想吃瓜，有点忘记操作了。 不过，手的反应比脑子要快不少，小C酱今天的上衣比较短，手已经伸了进去，对那两点摸了起来，听着轻轻的喘息声，主动要求亲亲，能感觉到挺会的，舌头挺灵活，时不时有点不老实要咬我一口，不愧是网红。衣服过…
#空港基地 @0927飞行员 #星茶荟 #倩倩 #临平区 #2026.6#2h 店铺：https://t.me/xingchahui888/59645 颜值 8.5 身材 8.8 皮肤 8.5 敏感度 8 性格 8.5 综合体验 8.5 优点：甜美少萝、白屁股、体力好、配合度高 缺点：无 过程： 继，前一次不可抗力因素没见到倩倩，这次终于蹲到了排班 “你喜欢什么类型的女孩子呀” “不行你说一个类型” “你猜我多大呀” 进门就遭到了倩倩的灵魂拷问，JK+白丝的倩倩真的很加分，不得不说比OT好看多了，刚开始说不上特别健谈，但绝不含糊。 全称几乎不需要破冰，卸甲非常的顺利，先是让妹妹体验了下我的大蟒蛇，从倩倩香香软软的樱桃小嘴，到雪白的一对馒头，纯天然、饱满且富有弹性，舔舐尖尖的时候，能感受到娇躯一阵一阵颤抖。 想起店里一直夸的都是倩倩全店第一的白屁股，提出一探究竟，亲眼所见，哈喇子都流了一地，是真有说法，一等一的白嫩，…
出现一下，像不像那个谁
#空港基地 @0927飞行员 @aikaka01 #JOJO #萌萌 #拱墅区 #2026.6#1h 店铺：https://t.me/JOJO88770/41908 颜值 8.5 身材 8.5 皮肤 8 敏感度 9 性格 8.5 综合体验 8.5 优点：甜妹、很乖 缺点：纹身较多 过程：晚上刚好路过jojo店里，问了下客服有谁还在，看了下萌萌的模卡，立马选择出发。 进入大厅，立马看到了萌萌，长得和模卡几乎一样，颜值在线，非常心动，能看出来是很嫩的！ 和萌萌一起进了房间，清纯的长相，谁看谁迷糊呀，躺下后非常主动的钻进怀里，敏感度全身感觉都很不错，已经比较迟了，还是很在线。吻的还算比较熟练，让妹妹先坐身上隔裤蹭，几次来回后，卸甲很流畅，尺度内的都可以满足，洗澡流很熟练，聊天很不错，全程也不划水。小手勾勾，用独特的手法，让妹妹三起三落，能感觉到很流畅，很水润。在感受到我的火热，妹妹也是毫不含糊，使出了看家手法，在共同的努…
赴每一场人间温柔（杭州） pinned Deleted message
赴每一场人间温柔（杭州） pinned Deleted message
赴每一场人间温柔（杭州） pinned Deleted message
赴每一场人间温柔（杭州） pinned Deleted message
小纱的ot还是太超前了 叶罗丽
#空港基地 @0927飞行员 @aikaka01 #古茗 #鲨鱼 #上城区 #2026.6#1h 店铺：@guming66888 颜值 8 身材 8.5 皮肤 8.5 敏感度 9 性格 9 综合体验 8.8 优点：萝莉、洗澡流、细枝硕果、小s 缺点：暂无 过程：最近一直在找感兴趣的萝莉，偶然间发现了小鲨鱼，提前预约，没想到前面已经有不少人。 周六的杭州依旧是车水马龙，奔赴的路上充满了艰辛，在热情的小发接待下，在店里等待妹妹。 来的路上其实是有点疲惫了，不一会看到一个身形娇小的身影蹿了下来，像小白兔一样甚是可爱。在我还在等待的时候，小鲨鱼遍扑到我背上，说要跟我一起看，真是个俏皮可爱的妹妹！名不虚传！ 跟着小鲨鱼上了楼，关上门的那一刻“像是魔丸终于打开了它的开关”，好一个小鲨鱼，先不说细枝硕果的身材，小小只身材很好，无一点赘肉，胸真的很大。更多的惊喜在性格上，小鲨鱼关门就开始掌握了主动权，小骚话连连：“叔叔，你好坏，你…
#空港基地 @0927飞行员 #kitty岛 #姗姗 #拱墅 #2026.6#1h 店铺：https://t.me/hello_kittynvpuguan/21872 颜值 8.5 身材 9 皮肤 8.5 敏感度 8.5 性格 8.5 综合体验 8.5 优点：好妹妹、真正的洗澡流 缺点：这两天嗓子不太舒服 过程： kitty岛最近很超模，今天的嘉宾是-姗姗 【初遇】 在小黑的引领下来到房间，姗姗已经在房间里等我了 窗挡住月色，一眼就动了心弦💓姗姗穿着黑色的小裙子，简简单单，但完美的展现了身材曲线。不知是不是因为今天差点挂蛋，据说前面还有退钟，感觉姗姗特别的紧张，她眼神躲闪，温柔又慌张。看着她慌乱的眉眼，我也乱了心神，原来心动，从来都只在这一瞬间。姗姗不是那种顶颜，反倒这种更没有距离感，相处起来格外舒心，越看越心生欢喜。 【暖场】 姗姗是偏i人的， i 人与 e 人天生不同，结合今天的情况，姗姗略显紧张，只是需要些…
Channel name was changed to «赴每一场人间温柔（杭州）»
Showing the 12 most recent of 20 posts we hold for @xiaohuang0011. 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 — 843,311 of 1,478,351entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
@xiaohuang0011 named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“赴每一场人间温柔（杭州）” (@xiaohuang0011), 1,663 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/xiaohuang0011.
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.