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Channel

衡水首家 可口可乐(奶浴SPA)

@kekoukele777

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

751subscribers

+43 since we began measuring on 7 September 2026

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

Register entry

Telegram ID-1003764391552
TypeChannel
Username@kekoukele777
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 September 2026
Last confirmed live17 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/kekoukele777

Growth

708751729.57 September 2026 — 708 subscribers8 September 2026 — 708 subscribers10 September 2026 — 725 subscribers17 September 2026 — 751 subscribers7 September 202617 September 2026
4 measurements spanning 10 days, net +43. 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 702–757 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 13:18751+26
10 Sept 2026, 10:18725+17
8 Sept 2026, 00:22708no change
7 Sept 2026, 23:47708first reading

Engagement

18 posts held, back to 30 August 2026the 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
59.6%
avg views ÷ 751 subscribers
Avg views / post
448
18 posts measured
Reaction rate
0.123%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 6 of 18 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 7 September 2026
Posts held18 (30 August 20267 September 2026)
Views total8,056
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Sept 2026, 00:22 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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 6 of the 18 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 18 most recent posts we hold, published 30 August 2026 to 7 September 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

7 Sept 2026, 08:47 UTC135 viewsread 8 September 2026
Photo

日本女优好评多多! 最近我研究下把好评专门放一个地方,这样发有点乱 06年女大兼职在岗!😃😃 预约滴滴: @zqmw77

6 Sept 2026, 05:47 UTC256 viewsread 8 September 2026

😃😃 日本AV女优 (重磅来袭) 身材高挑 大 波 浪 !!! 胸围: 36D (纯天然) 身高: 172cm (无增高) 特点:肤白如玉、东瀛阅历、熟谙日语 😃😃😃😃😃😃😃😃 没有体验过女优的不要错过! 第一人称做自己的男主角😂 😃😃😃😃: @zqmw77

5 Sept 2026, 12:54 UTC327 viewsread 8 September 2026
Photo

新人已就位! 预约滴滴 已验证本人,绝对不负众望,甜美风格 😭😭😭: @zqmw77

5 Sept 2026, 10:27 UTC324 viewsread 8 September 2026
Photo

😃😃日本av女优 没有体验过得可以尝试 自己做男主角! 联系客服: @zqmw77

5 Sept 2026, 06:37 UTC278 views1 reactionsread 8 September 2026
Forwarded from @hbbd_pdzyb

体验对象: 衡水奶浴spa 评分体验:★★★★★ 日期:9.5 地点:衡水市桃城区 客人名字: 匿名用户 体验对象: #06年女大 风格:偏韩系小美女 年龄感:看着就是20.21岁 外在:身材很好 A4腰 环境:环境也可以的,门店 整体感受:先和可乐预约了06年的这个小美女,进房间等待没一会就进来房间了,第一次在这行业中见这么小的姑娘,可能是玩的少吧,哈哈,身材比例完美,胸也是一把抓,奶头也是小小的,虽然年龄小,但是不冷场,也会问你喜欢怎么做,服务流程一套下来就快坚持不住了,口活很好,可能见了美女心情不一样比较激动,没多久就缴枪下课了,不错的一次体验 亮点:年纪小!纯女大学生 这都不用看学生证的😂 不足:自己没坚持好,美好的时光总是短暂的,感觉下次可以叫个双飞,时间之内可以随便玩,哈哈 综合评价:10 车评仅供参考。 世间相遇,本就没有统一答案。有人只看结果,有人记住过程。一程灯火,一段温度,各自体会。

1

5 Sept 2026, 04:32 UTC215 views0 reactionsread 8 September 2026
Photo

应广大群友力荐! 要学院的妹子 给你们弄来了 年龄:06年小嫩妹 身高:168cm 特点: 嫩 小 口活好!💥 身材纤瘦 A4腰 服务已培训 安全已上岗! 预约滴滴 😭: @zqmw77

4 Sept 2026, 17:11 UTC360 views0 reactionsread 8 September 2026

桃城区顶级质量🔥🔥🔥 现在不忙,有新🍵! 今日在岗5+ 先到先得 提前预约 避免等位 跑空! 😭😭😭: @zqmw77

4 Sept 2026, 10:40 UTC394 viewsread 8 September 2026

今日在岗5+ 有新🍵! 😃😃 日本AV女优 在岗! 😃😃 川渝小网红 在岗!(兼职) 😃😃 06年女大 在岗!(兼职) 😃😃 172性感女友 在岗! 😃😃 蛋蛋后萝莉妹 在岗! 联系客服: @zqmw77 提前预约 避免等位

3 Sept 2026, 13:11 UTC509 viewsread 8 September 2026
Photo

06年女大 好评反馈! 喜欢嫩妹的 提前联系!避免等位 😭: @zqmw77

3 Sept 2026, 11:45 UTC493 views1 reactionsread 8 September 2026

桃城区顶级质量🔥🔥🔥 现在不忙,有新🍵! 今日在岗5+ 先到先得 提前预约 避免等位 跑空! 😭😭😭: @zqmw77

1

3 Sept 2026, 10:21 UTC481 views0 reactionsread 8 September 2026
Photo

06年嫩妹已到位! 预约滴滴 @zqmw77

2 Sept 2026, 12:37 UTC568 viewsread 8 September 2026

新人已到位,人照一致! 在线接待中: @zqmw77

Showing the 12 most recent of 18 posts we hold for @kekoukele777. 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 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“衡水首家 可口可乐(奶浴SPA)” (@kekoukele777), 751 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/kekoukele777.

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.