又是连绵的雨天,又是想你的每时每刻,期待与你的再次相遇,樱花等你☺️ #龙岗 #福田 #南山 #龙华 全部正常 欢迎免费预约😘 联系 @yhztppy 双向可联系 @rslsppy520bot
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Channel
@szlsppy
On this record: Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
14,028subscribers
+1,082 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003469872004 |
|---|---|
| Type | Channel |
| Username | @szlsppy |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/szlsppy |
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
9,600 average views per post against 14,028 subscribers — an engagement rate of 68.5%. Across the 2,570 registered channels in the same cohort — 10,020–31,610 subscribers, posting mainly in Chinese — the middle half sit between 1.64% and 9.46%, with a median of 4.00%.
| Window | 30 days (11 August 2026 – 10 September 2026) |
|---|---|
| Posts measured | 8 of 8 published in the window (0 exact, 8 rounded by Telegram) |
| Views totalled | 76,830 |
| Mature posts only | 68.5% over 8 posts read at least 24h after publication |
| Subscribers | 14,028 measured 7 September 2026 |
| Cohort | b10000:zho · 2,570 channels · p10 0.499% · p25 1.64% · p50 4.00% · p75 9.46% · p90 20.0% |
| Position in cohort | 99.299th percentile · 17.1× the cohort median |
| Uncertainty | ±0.222% of the figure, from Telegram’s rounding |
| Post language | Chinese · 100.0% of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 10 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 21:59 | 14,028 | +115 |
| 4 Sept 2026, 20:41 | 13,913 | +43 |
| 3 Sept 2026, 06:26 | 13,870 | +38 |
| 2 Sept 2026, 03:54 | 13,832 | +39 |
| 1 Sept 2026, 06:04 | 13,793 | +25 |
| 31 Aug 2026, 02:48 | 13,768 | +42 |
| 30 Aug 2026, 00:47 | 13,726 | +45 |
| 29 Aug 2026, 00:25 | 13,681 | +35 |
| 27 Aug 2026, 23:34 | 13,646 | +26 |
| 27 Aug 2026, 01:04 | 13,620 | +22 |
| 26 Aug 2026, 03:53 | 13,598 | +28 |
| 25 Aug 2026, 03:18 | 13,570 | +29 |
| 23 Aug 2026, 19:36 | 13,541 | +62 |
| 22 Aug 2026, 04:58 | 13,479 | +56 |
| 20 Aug 2026, 18:36 | 13,423 | +59 |
| 19 Aug 2026, 15:03 | 13,364 | +29 |
| 18 Aug 2026, 15:23 | 13,335 | +37 |
| 17 Aug 2026, 18:33 | 13,298 | +44 |
| 16 Aug 2026, 16:55 | 13,254 | +123 |
| 15 Aug 2026, 01:06 | 13,131 | first reading |
16 posts held, back to 25 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 47 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 16 (25 July 2026 – 31 August 2026) |
| Views total | 76,830 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:34 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.
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.
59 reactions across 15 posts, in 2 distinct kinds. The most used accounts for 96.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 57 | 96.6% | |
| 🤗 | 2 | 3.39% |
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 16 of the 16 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 59 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 25 July 2026 to 31 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.
又是连绵的雨天,又是想你的每时每刻,期待与你的再次相遇,樱花等你☺️ #龙岗 #福田 #南山 #龙华 全部正常 欢迎免费预约😘 联系 @yhztppy 双向可联系 @rslsppy520bot
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#龙华 即时反馈,极品在线买定离手,12点到12点全时可约 #龙岗 #福田 #南山 全部正常 欢迎免费预约😘 联系 @yhztppy 双向可联系 @rslsppy520bot
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#龙华 新到00后,你的小娇妻们,不费脑筋,一得就得到😎
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红杏宝宝,#福田 可约❤️❤️
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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_6971700448
七夕,您的释放将是最好得礼物🎁
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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_6971700448
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为您准备的静谧之地,这里您可以卸下防备与心灵枷锁,沉浸在体感和灵魂的升华中。期待与您相会,期待与您再次相会。 联系 @yhztppy 双向可联系 @rslsppy520bot
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糟糕漏出来了,哥哥可以蹭蹭吗,
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感谢哥哥们的好评,谢谢各位哥哥一路上的支持与厚爱,我们也会有新的姐妹过来,届时各地区的都会在频道更新,请大家关注频道,😘
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深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:JK 上课时间:8/4 老师花名:小水 位置坐标:龙华 上课花费:998 颜值身材:满分 服务内容:泡泡浴+92 出击体验:很稳,遥控上楼,老师提前开好门,自己推门进,小水老师身材满分,颜值在我这也能有9分以上,每一个服务环节都很认真,如果不是刚交过作业,第一个环节就会交代了,聊天也很愉快,老师很谦虚,聊天时说其他姐妹手法都更好,实际体验下来我是跪了,最后的交代环节差点没忍住叫麻麻。总之,体验之后就觉得什么95,98都弱爆了。目前人生交代的最痛快的一次,小水老师赛高!之后一定还会再去找小水老师的,以后还请多指教啦! 优点缺点:优点:身材颜值无可挑剔,老师功夫也无可挑剔。竭尽全力未能发现缺点。 联系方式: 推荐程度:⭐⭐⭐⭐⭐(一星/很差,二星/差,三星/正常,四星/推荐,五星/强烈推荐,必返食) 〖友情提醒〗:报告仅供参考,请理性选择,…
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请直面你内心得欲望, 这里将是你的温柔乡。
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Showing the 12 most recent of 16 posts we hold for @szlsppy. 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.
@szlsppy edited 2 posts 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.
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.
Named by 8 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.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳樱花の湯·日式裸身风俗泡泡浴” (@szlsppy), 14,028 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/szlsppy.
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.