老师花名 #球球 #已验证 坐标 #天河 联系方式 @hq4567890 频道 http://t.me/qqdxw666 价格 800
Signed 小宝宝

Channel
@shenzhenxxhya
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
25,432subscribers
-1,917 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002049077903 |
|---|---|
| Type | Channel |
| Username | @shenzhenxxhya |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/shenzhenxxhya |
Other / unclassifiable — 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 70% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Sept 2026, 16:36 | 25,432 | -31 |
| 9 Sept 2026, 01:18 | 25,463 | +19 |
| 5 Sept 2026, 14:42 | 25,444 | -35 |
| 3 Sept 2026, 18:37 | 25,479 | -222 |
| 2 Sept 2026, 08:44 | 25,701 | +221 |
| 1 Sept 2026, 07:36 | 25,480 | +37 |
| 31 Aug 2026, 05:41 | 25,443 | -5 |
| 30 Aug 2026, 09:13 | 25,448 | -132 |
| 29 Aug 2026, 08:38 | 25,580 | -504 |
| 28 Aug 2026, 09:32 | 26,084 | -734 |
| 27 Aug 2026, 11:26 | 26,818 | -454 |
| 26 Aug 2026, 09:57 | 27,272 | +23 |
| 25 Aug 2026, 10:21 | 27,249 | +91 |
| 24 Aug 2026, 07:57 | 27,158 | +65 |
| 22 Aug 2026, 13:15 | 27,093 | +42 |
| 21 Aug 2026, 02:03 | 27,051 | -7 |
| 20 Aug 2026, 00:26 | 27,058 | -7 |
| 18 Aug 2026, 22:14 | 27,065 | -10 |
| 17 Aug 2026, 21:46 | 27,075 | -6 |
| 16 Aug 2026, 22:27 | 27,081 | first reading |
57 posts held, back to 5 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 59 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. It is computed over the 3 of 40 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 57 (5 August 2026 – 3 September 2026) |
| Views total | 35,293 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:47 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.
Measured directly from 21 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.
4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3 | 75.0% | |
| 😨 | 1 | 25.0% |
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 3 of the 57 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 5 August 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.
老师花名 #球球 #已验证 坐标 #天河 联系方式 @hq4567890 频道 http://t.me/qqdxw666 价格 800
Signed 小宝宝
老师花名 #兔兔 #已验证 坐标 #天河 联系方式 @OZTPL0NTTPG 频道 https://t.me/aimi1314009 价格 1500p 3000pp
Signed 小宝宝
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Signed 小宝宝
老师花名 #杉杉 #已验证 坐标 #白云 联系方式 @ssjxzlj 频道 https://t.me/shanshanjxzlj 抓龙筋399起
Signed 不叫吴彦祖 (小心骗子冒充我,群里面确认我的身份,不会主动私信任何人)
老师花名 #贝拉 #已验证 坐标 #佛山 #禅城 联系方式 @tiantian12386 频道 https://t.me/tiantian1238 价格 700p 1300pp
Signed 小宝宝
玥汐spa 营业时间:12:00-01:00 4️⃣2️⃣8️⃣ 泰国抓龙筋 SPA升级版4️⃣6️⃣8️⃣ 泰式抓龙源于泰式古法“抓龙筋”,技师通过古手法按压关元、中极、曲骨等穴位,揉捏打通前列腺和脏腹器器官的静脉,肌肉组织,可以舒筋活血,吐故纳新,疏通脉络,对于男性附睾静脉的张,前列腺炎,早泄等症状都会有一定的缓解和治疗作用按摩手法。时间80分钟 92一次 4️⃣6️⃣8️⃣ 日式回春SPA 日式回春源于日式“金玉回春”的技法。如果说抓龙筋是从物理上提高性能力,那么回春术则是在精神上强化七刺激。以轻柔温软的玉手挑拨出你的性欲,循序渐进提高快感,让人达到不会产生射意的“前高潮”。同时也会促使阴茎高度充血,让您感觉到全身酥麻欲罢不能的感觉,一直到最后的一泻千里。(注意需要两次请和老师提前说一下避免服务安排不开)时间:80分钟92两次 更多内容看上方课表 微信:BYSPA88 #抓龙筋 #本群认证
Signed 不叫吴彦祖 (小心骗子冒充我,群里面确认我的身份,不会主动私信任何人)
老师花名 #霏霏抓龙筋 #已验证 坐标 #天河 联系方式 @feifeizhualongjin456 微信 19586437339 电话 19586437339 与你号 19278452qpskzb 频道 https://t.me/+ZeTWHDO9AL8wMDZl 价格 抓龙筋398起
Signed 不叫吴彦祖 (小心骗子冒充我,群里面确认我的身份,不会主动私信任何人)
老师花名 #浅浅 #已验证 坐标 #天河 联系方式 @dbt7373 频道 https://t.me/dbtdj 价格 700p 1300pp
Signed 小宝宝
🎰 小琪优惠劵活动 @Xqf97 📮 抽奖条件: 🎫 加入-广州佛山修车大队LY之声 🎫 加入-广佛娱乐联盟总群 🎫 加入-白云小琪小花园 🎁 奖品内容: 口令20 红包 × 2 P200 优惠劵 × 1 P P200优惠劵 × 3 优惠券100 x × 5 📅 开奖日期:(UTC+8) 2026年09月02日 11时45分43秒
Signed 抽奖机器人
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😨1
Signed 不叫吴彦祖 (小心骗子冒充我,群里面确认我的身份,不会主动私信任何人)
老师花名 #琳儿 #已验证 坐标 #番禺 联系方式 @panyuliner 频道 @panyuliner1 价格 400p
Signed 鲨鱼you
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Signed 不叫吴彦祖 (小心骗子冒充我,群里面确认我的身份,不会主动私信任何人)
Showing the 12 most recent of 57 posts we hold for @shenzhenxxhya. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
@shenzhenxxhya named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“广州佛山修车大队LY之声” (@shenzhenxxhya), 25,432 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/shenzhenxxhya.
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.