【时间】:2026-08-26 【老师】:kiki 【留名】:Bowman Liu 【费用】:1500包时 【评价】:👍 好评 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【过程】:kiki老师是我碰到过服务最主动最有契合感的。 当天晚上kiki临时有事,晚饭都没吃,就先来战斗了。过程中也是无比尽兴。 无奈嘴笨说不了太多好话。只能说绝对超值。 短开碰见就是缘分,希望kiki后面越来越顺利。

Channel
Kiki’s sexy garden
@ladykiki0508
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
139subscribers
+101 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004488091498 |
|---|---|
| Type | Channel |
| Username | @ladykiki0508 |
| Created | Between 1 June 2026 and 22 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/ladykiki0508 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 05:39 | 139 | +6 |
| 17 Sept 2026, 01:22 | 133 | no change |
| 9 Sept 2026, 07:01 | 133 | +8 |
| 31 Aug 2026, 04:06 | 125 | -61 |
| 25 Aug 2026, 02:43 | 186 | +141 |
| 18 Aug 2026, 05:22 | 45 | +7 |
| 18 Aug 2026, 01:00 | 38 | first reading |
Engagement
14 posts held, back to 22 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 · 30 days
- 275.0%
- avg views ÷ 139 subscribers
- Avg views / post
- 382
- 11 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 14 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 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 14 (22 August 2026 – 30 August 2026) |
| Views total | 4,204 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Sept 2026, 01:22 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.
What this channel posts
- Video runtime
- 2m 26s
- Average length
- 24s
Measured directly from 6 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.
Reaction mix
3 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 2 of the 14 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 22 August 2026 to 30 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.
Recent posts
kiki老师的闺蜜刚刚上线立马有哥哥要约了!😘😘是不是我在杭州频道也挂我闺蜜,也是有哥哥约呢!
今天在杭州开课最后一天了~明天学校拍摄结束后就回福建了!
藝名:Kiki 身高:158 體重:96 🐻圍:36C 個人資料: 茶藝師 溫柔體貼 ❤️Kiki ❤️ #香港紅牌~服务型老师 🔥 🌸158cm 36大C波 🌸 #第一眼好驚艷 好靚好靚 宛若仙女🧚🏻♀️ 舞蹈老師 Model身型 勁fit 😍 皮膚白到發光 清純初戀白月光 #五官精緻絕美BB😍 🦋性格溫柔似水 高能量的美 靠近她就等於擁有了好運🍀 靜靜看著她也能感受美好 港币~新币~人民币都可以收哦! #相頭首選 预约:@双向机器人 @Ladykikibot 频道 @ladykiki0508 高性價比價錢 皇帝般嘅服務享受 ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
跨不过的距离
晚上开心~和舞蹈班同学唱歌!😘😘😘
kiki老师~在杭州~白天上三节舞蹈课~一节瑜伽普拉提课~晚上再开两性双人舞互动课!😘😘一天很充实~🥳🥳
Photo, posted without a caption
藝名:Kiki 身高:158 體重:96 🐻圍:36C 個人資料: 茶藝師 溫柔體貼 ❤️Kiki ❤️ #香港紅牌~服务型老师 🔥 🌸158cm 36大C波 🌸 #第一眼好驚艷 好靚好靚 宛若仙女🧚🏻♀️ 舞蹈老師 Model身型 勁fit 😍 皮膚白到發光 清純初戀白月光 #五官精緻絕美BB😍 🦋性格溫柔似水 高能量的美 靠近她就等於擁有了好運🍀 靜靜看著她也能感受美好 港币~新币~人民币都可以收哦! #相頭首選 预约:@双向机器人 @Ladykikibot 频道 @ladykiki0508 高性價比價錢 皇帝般嘅服務享受 ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
【时间】:2026-08-25 【老师】:kiki 【留名】:哲卡特拉雷 AkA 【费用】:6折P 【评价】:👍 好评 【人照】:10 【颜值】:9 【身材】:8 【服务】:9 【态度】:10 【环境】:9 【综合】:9.17 【过程】:上周就中了老师抽奖,赶紧约老师出击。由于老师白天不开,特地约了今天晚上。按老师指挥到了目的地,是个酒店式公寓,电梯还有梯控,老师特地下楼来接。初见老师,眼前一亮老师属于气质少妇类型,真人和老师频道里竞拍活动的正面照除磨皮外几乎一致啊。于是麻溜跟随老师上楼,公寓比较老,但是整体环境都还行。老师性格比较开朗,主动就聊开。在香港做的老师的确不一样,主打一个情侣感,先引导你坐在沙发上,蹲在身边一边引导你换拖鞋一边抚摸着你的牛子还会询问喜欢什么样的类型的老师。换完拖鞋直接跨坐到你身上开始舌吻,同时也会用下面来回蹭你的牛牛。这可了得,赶紧一边舌着一边解开老师的衣服,然后从上往下亲着直到含上老师的葡萄。互动了…
Kiki’s sexy garden pinned a photo
✨ 命运揭晓时刻 ✨ 萧山区御姐Kikip半价卷 开奖了 抽奖人数:179,抽奖号数:202 1. 酷酷鑫 中得:p半价优惠卷 抽奖说明: 最近的抽奖说明(点击可复制): ❶刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等,一律视为无效发言,取消中奖资格!请用心交流! ❷请三天内约课,五天内完成上课,因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! ❸活动最终解释权归本群管理团队所有。 ⚠️自言自语刷屏再删消息的都会被永久封禁,且中奖无效!删消息必永久封禁! ❗️❗️❗️中奖人员拉黑30天,出报告解黑,连续中奖3次不去或不出报告永久拉黑 兑奖请联系:@ladykiki0509 🔍 杜绝黑幕,点击查看本次开奖全程验证
Showing the 12 most recent of 14 posts we hold for @ladykiki0508. 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 3 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Kiki’s sexy garden” (@ladykiki0508), 139 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ladykiki0508.
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.