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Channel

西安の千叶日式裸身沉浸泡泡浴

@clbfpd

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

17,457subscribers

+514 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003546923687
TypeChannel
Username@clbfpd
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 September 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/clbfpd

Growth

16,94317,45717,2007 August 2026 — 16,943 subscribers8 August 2026 — 16,960 subscribers9 August 2026 — 16,995 subscribers10 August 2026 — 16,982 subscribers11 August 2026 — 17,000 subscribers12 August 2026 — 17,020 subscribers14 August 2026 — 17,028 subscribers15 August 2026 — 17,049 subscribers16 August 2026 — 17,089 subscribers18 August 2026 — 17,107 subscribers19 August 2026 — 17,115 subscribers20 August 2026 — 17,151 subscribers21 August 2026 — 17,178 subscribers22 August 2026 — 17,284 subscribers24 August 2026 — 17,298 subscribers25 August 2026 — 17,308 subscribers26 August 2026 — 17,321 subscribers27 August 2026 — 17,358 subscribers28 August 2026 — 17,369 subscribers29 August 2026 — 17,384 subscribers30 August 2026 — 17,395 subscribers31 August 2026 — 17,423 subscribers2 September 2026 — 17,436 subscribers3 September 2026 — 17,448 subscribers5 September 2026 — 17,457 subscribers7 August 20265 September 2026
25 measurements spanning 29 days, net +514. 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 16,866–17,534 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
5 Sept 2026, 08:3917,457+9
3 Sept 2026, 09:3917,448+12
2 Sept 2026, 04:5517,436+13
31 Aug 2026, 05:2817,423+28
30 Aug 2026, 03:1317,395+11
29 Aug 2026, 06:3817,384+15
28 Aug 2026, 05:0417,369+11
27 Aug 2026, 06:0717,358+37
26 Aug 2026, 06:5317,321+13
25 Aug 2026, 09:4317,308+10
24 Aug 2026, 11:0917,298+14
22 Aug 2026, 15:2517,284+106
21 Aug 2026, 05:4817,178+27
20 Aug 2026, 04:3517,151+36
19 Aug 2026, 03:0817,115+8
18 Aug 2026, 01:2417,107+18
16 Aug 2026, 22:0317,089+40
15 Aug 2026, 16:0317,049+21
14 Aug 2026, 01:0817,028+8
12 Aug 2026, 17:0317,020first reading

Engagement

23 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.4%
avg views ÷ 17,457 subscribers
Avg views / post
4,950
14 posts measured
Reaction rate
0.07%
reactions ÷ views · ER floor
Posts in window
14
of 23 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 12 of 14 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 3 September 2026
Posts held23 (17 July 20263 September 2026)
Views total69,357
Reactions total48
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:18 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
8s
Average length
8s

Measured directly from 1 video 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

75 reactions across 19 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
75100.0%

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 20 of the 23 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 75 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 17 July 2026 to 3 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

3 Sept 2026, 03:22 UTC286 viewsread 3 September 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7527236908

3 Sept 2026, 03:03 UTC321 viewsread 3 September 2026
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悠悠回来了,速约🤓 详情咨询TG☎️: @qylspy 双向机器人TG☎️: @qylspy520bot

31 Aug 2026, 04:56 UTC≈2,380 views12 reactionsread 3 September 2026

【技师照片】:自愿拍摄不强求 【店名服务】:千叶泡泡浴 【妹子花名】:子墨 【尊姓大名】:zzwystarry 【验证时间】:8.20 【所在位置】:龙首原 【身高身材】:165左右,胸部大概是B,盈盈一握手感上佳,整体S曲线十分明显,特别是在浴室贴身舞蹈的时候能明显感受到这一份前凸后翘,远观细看都十分吸引人 【颜值皮肤】:颜值我觉得可以给到9分,既脱离了青涩,又不过于成熟,这种介于嫩妹和嫩姨之前的或许可称之为轻熟;皮肤可以给到满分,紧绷滑溜,触感绝佳,整体偏白,能看出来老师平常有在认真保养,非常滴不错! 【瑕疵缺点】:唯一缺点就是太过完美,或许近两小时的服务时间以及超多服务内容成正比的价格会令部分群友望而却步,但来尝试下绝对物超所值 【优点推荐点】:正如那十项课表所写,每一项都令人十分沉醉,助浴艳舞,精油spa,抓龙筋,冰热石,丝袜龟责脱敏,延时训练包括最后的泡泡浴等等,每一项都给我全新的感受,直到出来后我写车评时,那种勃勃生

12

30 Aug 2026, 14:03 UTC≈2,490 views3 reactionsread 3 September 2026

【所属群组】: 西安百花楼 👉 @qgcj8 【评价时间】: 2026-04-13 【评价人】: 西安の千叶日式裸身沉浸泡泡浴 【评价老师】: 西安の千叶日式裸身沉浸泡泡浴 【人照评分】: 9 【颜值评分】: 9 【身材评分】: 9 【态度评分】: 9 【服务评分】: 9 【环境评分】: 9 【描述过程】: 泡泡浴没体验过,虽然有点远,我还是加满油出发。遥控到门口,轻敲两下,门一开,一个清纯可人的妹子站在面前,穿着白色蕾丝吊带裙,笑容甜得像蜜。她轻轻牵我的手,声音软得像棉花糖,瞬间让我心跳漏了一拍,像个刚恋爱的小男生。 带我到沙发上坐下,递了杯花茶,聊天时她害羞地低头偷笑,偶尔抬眼看我,撩得我心痒痒。交完课费,进了浴室。浴室很宽敞,中央是个大浴缸,旁边点着几支薰衣草香薰蜡烛,灯光柔和,像高档 spa。她打开水龙头,倒了香型的泡泡浴液,带着玫瑰、依兰和檀香的味道,闻着就让人放松。 水温调得刚刚好,泡泡堆得像云朵,我先泡进去,温暖的

3

28 Aug 2026, 06:39 UTC≈3,630 views1 reactionsread 3 September 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178729396825 🎰 千叶泡泡浴白嫖券 ⚠️ 抽奖说明: 禁止刷屏、否则禁言,连续发言.一律视为无效发言,! 特别声明 水够发言不在群内发言的中奖无效不予兑换 活动最终解释权归团管理团队所有。 中奖的联系 老师 约时间 24小时内预约时间,七天内出击,否则踢出本群 出击后必须写车评不写车评踢出本群 请老师监督中奖人不写车评的请举报 💁 参与情况:86达标 / 170报名 🔋 人品加成:38票 ⚡️× 9 🎅 联系领奖:@qylspy 1. 无名 奖品:白嫖券 2. 滴滴⚡️× 4 奖品:8折优惠券 3. 吴迪⚡️ 奖品:8折优惠券 4. 蛋炒河粉 —⚡️× 9 奖品:8折优惠券 5. Zw 奖品:7折优惠券 祝大家心想事成好运连连!

1

26 Aug 2026, 16:30 UTC≈4,310 views1 reactionsread 3 September 2026
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谢谢宝贝们的好评❤️❤️ 谢谢宝贝的支持与喜欢❤️❤️ ㊗️所有哥哥万事顺意,心想事成❤️ 详情咨询TG☎️: @qylspy 双向机器人TG☎️: @qylspy520bot

1

23 Aug 2026, 09:50 UTC≈6,010 views4 reactionsread 3 September 2026
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好评不断,新鲜热乎。谢谢宝贝们的喜欢和鼓励,继续加油喽❤️❤️❤️ 详情咨询TG☎️: @qylspy 双向机器人TG☎️: @qylspy520bot

4

21 Aug 2026, 06:40 UTC≈7,290 views10 reactionsread 3 September 2026
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🎰 千叶泡泡浴白嫖券 📮 参与条件: 🎫 加入-西安百花楼洗浴SPA抓龙筋 🎫 加入-西安百花楼认证榜 🎫 加入-西安の千叶日式裸身沉浸泡泡浴 🎫 加入-西安百花楼修车 └ 🎟️ 发言数大于 20 条 🎁 奖品内容: 💰️ 7折优惠券 × 1 💰️ 8折优惠券 × 3 💰️ 白嫖券 × 1 ⚠️ 抽奖说明: 禁止刷屏、否则禁言,连续发言.一律视为无效发言,! 特别声明 水够发言不在群内发言的中奖无效不予兑换 活动最终解释权归团管理团队所有。 中奖的联系 老师 约时间 24小时内预约时间,七天内出击,否则踢出本群 出击后必须写车评不写车评踢出本群 请老师监督中奖人不写车评的请举报 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年08月28日 14时39分00秒

10

19 Aug 2026, 16:54 UTC≈7,180 views3 reactionsread 3 September 2026
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再次谢谢哥哥们的支持与厚爱,您的每一次光临和信任都是我们不忘初心的动力,继续加油喽👍👍 ㊗️哥哥们发财被爱,一路好运常在🎉🎉详情咨询TG☎️: @qylspy 双向机器人TG☎️: @qylspy520bot

3

18 Aug 2026, 07:29 UTC≈5,000 views2 reactionsread 26 August 2026
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有些日子总会让人无法忘怀,七夕,您的释放将是最好的礼物🎁

2

16 Aug 2026, 06:36 UTC≈6,110 views5 reactionsread 26 August 2026
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龙首原子墨回来了,北郊哥哥可以来约了😍😍😍 详情咨询TG☎️: @qylspy 双向机器人TG☎️: @qylspy520bot

5

13 Aug 2026, 04:31 UTC≈8,180 views3 reactionsread 26 August 2026
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生活中为数不多的静谧之地,这里只属于你,解压不仅仅是身体,还有心灵。 详情咨询TG☎️: @qylspy 双向机器人TG☎️: @qylspy520bot

3

Showing the 12 most recent of 23 posts we hold for @clbfpd. 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.

Mentions

Named by 13 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.

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

“西安の千叶日式裸身沉浸泡泡浴” (@clbfpd), 17,457 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/clbfpd.

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.