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Channel

小可的频道

@Xxiaoke88

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

246subscribers

+41 since we began measuring on 16 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004311809528
TypeChannel
Username@Xxiaoke88
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 October 2026
Last confirmed live23 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/Xxiaoke88

Growth

205246225.516 October 2026 — 205 subscribers17 October 2026 — 220 subscribers23 October 2026 — 246 subscribers16 October 202623 October 2026
3 measurements spanning 7 days, net +41. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 199–252 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Oct 2026, 13:06246+26
17 Oct 2026, 03:39220+15
16 Oct 2026, 08:22205first reading

Engagement

20 posts held, back to 13 October 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 · 30 days
82.7%
avg views ÷ 246 subscribers
Avg views / post
203
20 posts measured
Reaction rate
0.36%
reactions ÷ views · ER floor
Posts in window
20
of 20 held

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 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 October 2026
Posts held20 (13 October 2026 – 16 October 2026)
Views total4,067
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Oct 2026, 08:22 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 20 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 13 October 2026 to 16 October 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.

Recent posts

16 Oct 2026, 04:22 UTC56 viewsread 16 October 2026
Forwarded from @quishangcheng

杭州秋雅总群:https://telegram.me/nanjinggeren66 🌳【客名】:三色 📆【日期】: 10月15日 🧘‍♀【老师】: #小可 📮【联系】:@Xxiaoke00 🏡【位置】:东站 💰【课费】:800p 🌏【罩杯】:C+ 🧖‍♀【服务】:全套 📋【详情】:终于和小可老师约好了时间。下午时间安排不开,没约上。 到房间看见老师的一对呼之欲出的大白兔的勾人心神,忍不住就上下其手,付了水费后聊聊天开始洗澡,洗完澡躺床上开始,口的过程中老师跟我说爽不爽,开始进入状态了,接着就是女上,动了几分钟老师累了,抱着歇会开始后入,一开始还有点心疼,慢慢渐入佳境,看着老师的美臀和美背就开始冲冲冲,超级很满足,最后交货,俩人躺着歇了一会儿,聊聊天点了个事后烟,身材好,皮肤好光滑,头发香香的,下次还来 【机车行为】: 无 【优点缺点】:会二刷 很好 【推荐程度】:⭐⭐⭐⭐⭐

16 Oct 2026, 04:18 UTC44 viewsread 16 October 2026

https://t.me/hero5201 【推荐程度】: #好评 【优势】嫩 紧 皮肤滑嫩 【不足】 【出击时间】:10.16 【老师花名】:#小可 @Xxiaoke00 【出击留名】:秋风 【开课位置】:上城 【修车水费】:工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ④ 毒龙 【人照评价】:人照八分 【身材评价】:身材不错 全身没有赘肉 【胸部评价】:b 【鲍鱼评价】:紧致 【服务评价】:服务齐全 【态度评价】:无机车,排课宽松 【环境评价】:浴室干净,漱口水,一次性纸巾都有 【过程描述】: 看到还有个工兵直接报名了工兵,然后和老师约了时间,准时到了后看到人照差不多,给了水费然后开始洗澡,老师拖了衣服看着身材还不错,没有赘肉,奶子比较挺,洗完擦干后躺在床上,老师舔咪咪开始,舔了一会开始口下面,口的还可以,然后二弟有点憋不住了,叫老师带套开始,女上开…

15 Oct 2026, 12:27 UTC129 viewsread 16 October 2026

杭州星巴克:https://t.me/hzxbk 评分(下方仅留一项): #超级好评(95分-100分) 【出击时间】:10月14日 【出击老师】:#小可 【联系方式】:@Xxiaoke00 【出击留名】:Allen @AllenFrankcc 【开课位置】:东站附近 【修车水费】:工兵P 【人照评分满分10】:9分 【颜值评分满分20】:18分(不错) 【身材评分满分10】:8分(皮肤好 身材很好 ,就是符文有点多) 【吊感评分满分20】:19分(紧,水量多,包裹感不错) 【服务评分满分10】:18分(嫩妹三件套) 【态度评分满分20】:20分(主动询问) 【环境评分满分10】:8分(租房) 【综合评分满分100】:90分(以上相加) 【过程描述】:有的打✅ 舌吻 口活 ✅ 69舔穴 毒龙 【流程小文】看到新来的妹妹还有一个工,从隔壁群的工记录判断应该是不错的,于是成功对兑换,跟老师约好时间直接出发,初次见…

15 Oct 2026, 09:05 UTC137 viewsread 16 October 2026
Photo

今天穿这样,有喜欢紧身👖的哥哥吗?😘😘😘

14 Oct 2026, 11:09 UTC294 viewsread 16 October 2026

杭州宫颜群【免费上榜】 ❤️名榜: @gong6228 ❤️聊群: @gong8228 🅰️报告榜: @hang8228 💋管理唯一 @wq88777bot

14 Oct 2026, 10:30 UTC310 viewsread 16 October 2026

我在杭州同学会上榜啦! 老师免费上榜,海量六折工兵 群内大量现金红包,报销券等你来抽! https://t.me/Hz_txh

14 Oct 2026, 08:53 UTC278 views1 reactionsread 16 October 2026
Forwarded from @yigeyanxuan001

杭州一哥课堂:https://t.me/yigechat 【老师花名】:小可 【老师 I D】: @Xxiaoke00 【验证留名】: #老蛙 @youzhi123wa 【出击时间】: 10月13日 【课室位置】: 火车东站 【喝茶费用】: 500工兵 【高端服务】: 有的打 ✅ 没有打 ❎ 舌吻 ✅ 69 毒龙 【身材尺寸】:165,90斤,C杯 【湿度紧度】:水量正常,比较紧,进入都不容易 【个人卫生】:抽烟|满背纹身 【时间管理】:排课宽松,不事不催 【推荐程度】:9 【报告正文】: #课室环境 火车东站附近小区房,无门禁停车方便,课室干净整洁 ----------------- #人之初印象 紧身连衣裙,真人比视频好看,妆容精致,正常肤色,骨架小身材匀称无赘肉,胸部挺拔柔软,气质御姐。 ----------------- #服务环节 沙发上坐着聊了会,老师之前是在ktv做,刚到杭州,自助洗浴,上床后先…

❤1

Showing the 12 most recent of 20 posts we hold for @Xxiaoke88. 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.

Forward network

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.

Mentions

Named by 2 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.

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.

Cite this entry

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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“小可的频道” (@Xxiaoke88), 246 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/Xxiaoke88.

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.