坐标:#南山区 艺名:#萌姬 课费:P600 PP 私聊: @mjls55 频道:https://t.me/mengjixiaokeai —————————— 个性标签: #制服诱惑 #胸推 #兼职 配合各种姿势 茶师已验证 —————————— https://t.me/xiaoxiaoguanrenbot?start=teacherContact-TE179281702578

Channel
深圳 茶汇总 老榜
@SZXFBYPD
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
25,474subscribers
-54 since we began measuring on 3 November 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002152713425 |
|---|---|
| Type | Channel |
| Username | @SZXFBYPD |
| Created | Between 1 April 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 November 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/SZXFBYPD |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 07:06 | 25,474 | -30 |
| 4 Nov 2026, 02:49 | 25,504 | -24 |
| 3 Nov 2026, 03:54 | 25,528 | no change |
| 3 Nov 2026, 03:47 | 25,528 | first reading |
Engagement
9 posts held, back to 1 November 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 8 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.19%
- avg views ÷ 25,474 subscribers
- Avg views / post
- 304
- 9 posts measured
- Reaction rate
- 0.61%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 9 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 1 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 9 (1 November 2026 – 5 November 2026) |
| Views total | 2,735 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 18:31 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
- 239
- Videos
- 39
- Links
- 48
Lifetime counters from Telegram’s own channel header, read 5 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
- 27s
- Average length
- 9s
Measured directly from 3 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 9 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 1 November 2026 to 5 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: 0 of 9 posts held from the last 30 days (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).
深圳茶汇总 欢迎新老朋友,齐聚在一起,相聚就是缘。 在TG的大环境里,懂的都懂,骗子惯用伎俩就是高仿管理群主号,需要联系管理请在群里找管理的联系方式。 管理不主动私聊任何人,但私聊的不一定都是骗子,主动私聊还先收费的一定是骗子,我们家是先上榜,见到榜单后付费, 唯一群管号 新进群的需要订阅频道方可发言,群内推荐吹水聊天,禁止谈论违法,政治,有损国家的语言, 狼友翻牌子先群里发“导航”,根据提示找到适合自己的,要选择出击近一个月内上榜的茶师,没在轮播广告榜上的要小心谨慎⚠️, 没上榜老师请群里联系管理,验证上榜。 本群宗旨是狼友“性”福,茶师双赢。 收录茶师 评价茶师 出击茶师 查学生
坐标:#福田区 艺名:#彤彤 课费:P1288 PP2188 私聊: @mnjjjvv 频道:https://t.me/+UQ5BmzcBSqYzOWM9 个性标签: #鸳鸯浴 #舌吻 #69 配合各种姿势 茶师已验证 ——–-—————— https://t.me/xiaoxiaoguanrenbot?start=teacherContact-TE179265130157
Photo, posted without a caption
当心此人
茶汇总 雷报:https://t.me/tianmei0635 〖品茶留名〗:#LBJ 〖品茶时间〗:2026年11月3日 〖品茶消费〗:被騙700 〖品茶坐标〗:#沙尾港芸餐廳 (她會叫你上去卓豐公寓4樓) 〖茶师艺名〗:#福田筱筱 @sz_xiaoxiao 〖体验细节〗:約了pp, 給了200口令紅包,到門口竟然說要付尾款,我見她說得出跟我上一次聊天的細節,不虞有詐,所以再給500口令紅包,之後就被她封鎖了。 這老師以前服務還好的,但最近搞抽獎,不停叫人給訂金,應該是轉了做詐騙了。 你個仆街出門小心一點! 〖推荐程度〗:小心詐騙! 〖友情提醒〗:报告仅供参考,请理性选择,不要对号入座。 提交报告联系:@chahuizong 双向联系:@szchahuizong_bot (备注:提交报告需提供聊天记录,收款记录等)
TE179360674646 坐标:#南山区 艺名:#凌儿 课费:P800 PP1500 私聊: @chenling0012 频道:@chenling112 —————————— 个性标签: #鸳鸯浴 #丝袜诱惑 #调情 #水中箫 配合各种姿势 茶师已验证 —————————— https://t.me/xiaoxiaoguanrenbot?start=commentTeacher-TE179360674646
TE179354165635 坐标:#罗湖区 艺名:#艳艳 课费:P500 PP900 私聊: @Q32168 频道:https://t.me/qianqiandehouhuanyuan —————————— 个性标签: #69 #角色扮演 #舌吻 #制服诱惑 #鸳鸯浴 #深喉 #口爆 #毒龙 #御姐 配合各种姿势 茶师已验证 —————————— https://t.me/xiaoxiaoguanrenbot?start=commentTeacher-TE179354165635
❤1
TE179353766005 坐标:#南山区 艺名:#柳如烟 课费:P800 PP1500 私聊: @feiyi09 频道:https://t.me/cuurz270 —————————— 个性标签: #鸳鸯浴 #胸推 #制服诱惑 #口爆 #毒龙 #六九 #SM 配合各种姿势 —————————— https://t.me/xiaoxiaoguanrenbot?start=commentTeacher-TE179353766005
Showing the 9 most recent of 9 posts we hold for @SZXFBYPD. 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 recorded as deleted after publishing
We recorded 2 posts on @SZXFBYPD 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
- 4 November 2026
- Most recent seen missing
- 5 November 2026
- Median time before seen missing
- 27 hours
- Seen missing in the last 30 days
- 2
Forward network
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.
Mentions
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.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“深圳 茶汇总 老榜” (@SZXFBYPD), 25,474 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/SZXFBYPD.
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.