深圳少女御姐预备榜 pinned a photo

Channel
深圳少女御姐预备榜
@szSNQSTzx
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,884subscribers
+1,395 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1004300730769 |
|---|---|
| Type | Channel |
| Username | @szSNQSTzx |
| Created | Between 1 June 2026 and 6 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/szSNQSTzx |
Topic
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 39% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 07:56 | 17,884 | +34 |
| 15 Sept 2026, 04:41 | 17,850 | +23 |
| 13 Sept 2026, 11:00 | 17,827 | +67 |
| 11 Sept 2026, 18:21 | 17,760 | +174 |
| 9 Sept 2026, 09:17 | 17,586 | +137 |
| 5 Sept 2026, 22:01 | 17,449 | +53 |
| 3 Sept 2026, 23:18 | 17,396 | +6 |
| 2 Sept 2026, 15:05 | 17,390 | +28 |
| 1 Sept 2026, 14:04 | 17,362 | +25 |
| 31 Aug 2026, 14:25 | 17,337 | +35 |
| 30 Aug 2026, 17:58 | 17,302 | +27 |
| 29 Aug 2026, 17:55 | 17,275 | +14 |
| 28 Aug 2026, 19:36 | 17,261 | +19 |
| 27 Aug 2026, 19:13 | 17,242 | +21 |
| 26 Aug 2026, 22:03 | 17,221 | +5 |
| 26 Aug 2026, 01:22 | 17,216 | +39 |
| 24 Aug 2026, 21:53 | 17,177 | +58 |
| 23 Aug 2026, 06:02 | 17,119 | +22 |
| 21 Aug 2026, 18:08 | 17,097 | +61 |
| 20 Aug 2026, 16:03 | 17,036 | first reading |
Engagement
516 posts held, back to 6 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 55 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.181%
- avg views ÷ 17,884 subscribers
- Avg views / post
- 32.3
- 93 posts measured
- Reaction rate
- 1.17%
- reactions ÷ views · ER floor
- Posts in window
- 156
- of 516 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 5 of 93 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 | 516 (6 August 2026 – 3 September 2026) |
| Views total | 3,005 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 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
- 7m 46s
- Average length
- 12s
Measured directly from 40 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
10 reactions across 10 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 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 13 of the 516 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 516 most recent posts we hold, published 6 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.
Recent posts
💐💐💐开奖了💐💐💐 【骑士团☆罗湖婷婷半价活动】开奖了 本期总参与人数:118 少女币加成数:28 1、鱼与胸罩不可兼得(消息数54 加成数1)获得:半价p 兑奖请联系 @tiaotiao96 谨祝中奖用户大吉大利万事如意 更多资讯请关注
深圳少女御姐预备榜 pinned a photo
🎰 【骑士团☆南山洛斯然派红包🧧】 🎫 加入的前置频道: 🎫 加入 —— 深圳少女御姐骑士团 🎫 加入 —— 深圳少女御姐榜 🎫 加入 —— 深圳少女御姐甄选❤️ 🎫 加入 —— 深圳少女御姐预备榜 🎫 加入 —— 洛斯然㊙️花园 🎟️ 要求活动期间群内发言数 15 🎁 奖品内容: 128元🧧 × 1 46元🧧 × 1 26元🧧 × 1 💡 活动说明: 数十张名师白嫖➕数万元奖金等你拿! 深圳骑士团开群福利🧧 女神亲临派红包🧧,邂逅财富与好运💎! ☺️☺️温馨提示:仅亿点点🤏🏻少女币🎖即可拉满🈵~~ 📅 开奖日期: (UTC + 8) 2026年09月07日 16时54分31秒 ⚡️ 加成说明: ⚡️ 加成消耗:5个少女币🏅 ⚡️ 加成次数:10 ⚡️ 额外消耗:每次加5个少女币🏅 每次加成等于 多个抽奖资格!! 兑奖联系 @luosiran
👩⚖艺名: #洛斯然 🏠地区: #南山 🏦价格: #800p #1500pp 🛫电报: @luosiran 🎟标签: #嫩妹 #舌吻 #六九 #无套口 #制服 🤹守护骑士: ☎️预约上课
👩⚖艺名: #小月 🏠地区: #龙岗 🏦价格: #800p #1500pp 🛫电报: @Xydfj520 🎟标签: #一米八 #嫩妹 #舌吻 #无套口 #制服 #深喉 🤹守护骑士: ☎️预约上课
深圳少女御姐预备榜 pinned a photo
🎰 【骑士团☆宝安芊芊半价活动】 🎫 加入的前置频道: 🎫 加入 —— 深圳少女御姐骑士团 🎫 加入 —— 深圳少女御姐榜 🎫 加入 —— 深圳少女御姐甄选❤️ 🎫 加入 —— 深圳少女御姐预备榜 🎫 加入 —— 芊芊的后花园 🎟️ 要求活动期间群内发言数 8 🎁 奖品内容: 半价p × 1 💡 活动说明: 数十张名师白嫖➕数万元奖金等你拿! 深圳骑士团开群福利🧧 👉🏻① 开奖时间起(7天内兑奖,过期作废) 👉🏻② 炸号中奖作废 (老师可以拒绝兑奖) 👉🏻③ 出击完7日内提供详细的报告提交: 「悟空」 @SZwukongbot 否则拉黑并通报。 👉🏻④ 禁止转让或买卖,否则拉黑名单挂榜。 📢为保证老师的利益,请老师兑奖严格按照机器人🤖推送的 开奖信息 跳转兑奖! 📅 开奖日期: (UTC + 8) 2026年09月07日 16时38分09秒 ⚡️ 加成说明: ⚡️ 加成消耗:5个少女币🏅 ⚡️ 加成次…
👩⚖艺名: #芊芊 🏠地区: #宝安 🏦价格: #600p #1200pp 🛫电报: @baoanqianqian1 🎟标签: #嫩妹 #六九 #无套口 #制服 🤹守护骑士: ☎️预约上课
深圳少女御姐预备榜 pinned a photo
💐💐💐开奖了💐💐💐 【骑士团☆雅雅 半价活动】开奖了 本期总参与人数:85 少女币加成数:6 1、阿尔法(消息数43 加成数0)获得:半价p 兑奖请联系 @mmakk1314 谨祝中奖用户大吉大利万事如意 更多资讯请关注
深圳少女御姐预备榜 pinned a photo
Showing the 12 most recent of 516 posts we hold for @szSNQSTzx. 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 79 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@anymmd4 · 10,2196 posts南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 20,8915 posts苏菲龙华个人自聊😆🫴🫴🫴🫴
@suosui3355 · 493 posts深圳少女御姐榜
@Haifpcj · 65,3412 posts南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 8,0472 posts深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 8,0042 posts心怡之家
@a1234891 · 2,2961 post小猪的朋友圈
@AQuQG · 2371 post宝安小欣
@baoanxiaoxin18 · 3291 post贝贝家
@beibeijia18 · 3631 post可可解忧小屋🏡
@httpdkttk · 1201 post坂田金莲潮喷女王深圳特服天花板
@JLszban · 2551 post可可的个人频道
@kekecc68 · 2111 post星星天空
@mosikoddo · 1,0491 post罗湖·慕容清清168D御姐
@qing1090 · 5,7151 post欣欣的小窝
@qiuqiu2056 · 3881 post舒晚个人频道
@shuwanwan520 · 4161 post诺诺朋友圈
@ufutre · 6231 post南山欣欣的私密花园
@xinxin188886 · 1251 post萝莉心心宝的朋友圈
@xinxinbao08 · 1501 post小杨的朋友圈
@XXdemw · 3141 post小悠的花园
@xyou456 · 9751 post南山 08年嫩妹 诗诗
@yhaoyunlianlianpd · 4181 post
Names
Channels on the register whose handles appear in this channel's posts.
@Haifpcj · 65,34199 posts深圳少女御姐骑士团
@SZsnyjqst · 38,27199 posts深圳少女御姐甄选❤️
@szSZQSTzx · 23,40499 posts南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 20,8912 posts深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 8,0042 posts小猪的朋友圈
@AQuQG · 2371 post幼幼魔仙堡
@aYoua0056 · 5671 post柚子
@d4JqbooiaN9jOTZ · 1,4031 post沈之夏的朋友圈
@EH7I6HQ · 4101 post瑶瑶兼职 💋后花园💋
@fffqq12341 · 1,9771 post林汐小花园
@linxi_528 · 1,7351 post大学毕业生林雪
@linxueee · 5,9471 post龙岗08诺诺 个人兼职 自聊
@nuonuo5211 · 2311 post三月的小世界
@Pzy619 · 971 post小微的闲屋🏘️
@qiqi6612 · 1491 post小美的家❤️
@qzxqxl · 3081 post罗湖婷婷的小窝
@tingting341 · 3561 post小宝私人小窝
@tutugrpd · 2351 post小宝的朋友圈
@xiaobaodepuq · 2491 post(深圳南山)Av剧情泫雅🔥开课🀄️
@xiaomao1177 · 5,4881 post小颖个人频道
@xiaoyi2589 · 1,7611 post福田人瘦大f奶依依(置顶有地址)报告返现活动
@xixi5219 · 6,6671 post龙岗大运中心城💋小奶糖
@xnt101 · 4001 post小悠的花园
@xyou456 · 9751 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳少女御姐预备榜” (@szSNQSTzx), 17,884 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/szSNQSTzx.
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.