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Channel
西安の千叶日式泡泡浴
@clbfpd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
17,029subscribers
+86 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 |
|---|---|
| Type | Channel |
| Username | @clbfpd |
| Description | 满足你所有幻想,更追求服务品质,每日限量预约,时间内不限次数。 联系: @xappy520双向联系: @xaqypykf_bot |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/clbfpd |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 69% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 12:01 | 17,029 | -16 |
| 10 Nov 2026, 10:37 | 17,045 | -18 |
| 8 Nov 2026, 23:47 | 17,063 | -21 |
| 7 Nov 2026, 15:15 | 17,084 | -14 |
| 6 Nov 2026, 16:31 | 17,098 | -32 |
| 5 Nov 2026, 14:26 | 17,130 | -33 |
| 4 Nov 2026, 12:08 | 17,163 | -31 |
| 3 Nov 2026, 15:11 | 17,194 | -96 |
| 2 Nov 2026, 11:45 | 17,290 | -33 |
| 1 Nov 2026, 09:40 | 17,323 | -27 |
| 31 Oct 2026, 13:08 | 17,350 | -23 |
| 30 Oct 2026, 12:29 | 17,373 | -28 |
| 29 Oct 2026, 14:49 | 17,401 | -31 |
| 28 Oct 2026, 11:37 | 17,432 | -5 |
| 27 Oct 2026, 13:06 | 17,437 | -5 |
| 26 Oct 2026, 15:29 | 17,442 | -19 |
| 25 Oct 2026, 15:56 | 17,461 | +2 |
| 24 Oct 2026, 16:00 | 17,459 | -22 |
| 23 Oct 2026, 17:30 | 17,481 | -20 |
| 22 Oct 2026, 18:07 | 17,501 | first reading |
Engagement
33 posts held, back to 17 July 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 79 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 19.1%
- avg views ÷ 17,029 subscribers
- Avg views / post
- 3,250
- 10 posts measured
- Reaction rate
- 2.10%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 33 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 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 33 (17 July 2026 – 13 November 2026) |
| Views total | 32,491 |
| Reactions total | 636 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Nov 2026, 05:47 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
- Photos
- 181
- Videos
- 11
- Links
- 10
Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 17s
- Average length
- 9s
Measured directly from 2 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
711 reactions across 26 posts, in 11 distinct kinds. The most used accounts for 23.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 168 | 23.6% | |
| 🎉 | 94 | 13.2% | |
| 🔥 | 91 | 12.8% | |
| 🥰 | 86 | 12.1% | |
| 👍 | 77 | 10.8% | |
| 👏 | 71 | 9.99% | |
| 😁 | 57 | 8.02% | |
| 😍 | 20 | 2.81% | |
| 🤩 | 19 | 2.67% | |
| 💯 | 15 | 2.11% | |
| ❤🔥 | 13 | 1.83% |
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 28 of the 33 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 711 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 17 July 2026 to 13 November 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
Telegram’s own ‘edited’ marker: 3 of 10 posts held from the last 30 days (30.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Photo, posted without a caption
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Showing the 12 most recent of 33 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.
Posts edited after publishing
@clbfpd edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 11 November 2026
- Most recent edit
- 11 November 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @clbfpd as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 24 August 2026
- Most recent seen missing
- 2 September 2026
- Median time before seen missing
- 5 days
- Seen missing in the last 30 days
- 0
Mentions
Named by 15 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.
@BKMSJ_029 · 49,96314 posts西安【认证资源榜】
@xianrzzy · 33,0829 posts西安好车公开
@cjkjlb888 · 29,1818 posts西安师范大学必吃榜
@daxiawok · 35,4447 posts西安拾光·寻觅录
@huajianyue5555 · 11,6006 posts西安花间月私影女仆更新
@huajianyue9999 · 33,9605 posts西安百花楼修车认证榜
@qgxianrzb · 65,5485 posts西安公开资源(认证)
@soSo186F · 31,1564 posts西安乐园老师认证榜
@sqvip8888 · 17,1604 posts西安【认证榜】
@xianpd · 46,0094 posts西安合欢宗新人榜
@xacj99901 · 26,2743 posts西安忒色大学修车榜
@XiAn_tese01 · 123,3703 postsLotteryBest精选推荐
@lotterybestnav · 171,0311 postLotteryBest抽奖导航
@lotterynav · 196,2301 post西安网约车门店榜
@xa_wyc_md · 1,5561 post
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 2,644,1596 posts西安百花楼修车
@qgcj8 · 47,5902 postsLotteryBest Bot
@LotteryBestBot · 113,8431 postLotteryBest抽奖导航
@lotterynav · 196,2301 post西安百花楼修车认证榜
@qgxianrzb · 65,5481 post西安丝足私影心灵树洞
@wyysmile · 25,4291 post西安百花楼洗浴SPA抓龙筋
@xagbtsjb · 7,6581 post西安·欲望都市❤️🔥
@XianYuWangDuShi · 38,5851 post
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“西安の千叶日式泡泡浴” (@clbfpd), 17,029 subscribers as measured 12 November 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.