非在榜单老师请勿相信,避免上当受骗! 认准榜单老师,约课定金不超过100块! 南山区 罗湖区 福田区 宝安区 龙岗区 龙华区 光明区 甄选推荐榜 中介|会所|商家

Channel
深圳赏颜阁公开榜
@rcrczz
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
31,705subscribers
+2,214 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002990345417 |
|---|---|
| Type | Channel |
| Usernames | @rcrczz @szsyg3 |
| Description | 打造一个深圳信息交互平台, 给群友老师提供一个公平交易的环境。 上榜|合作| @jierui128 (不闲聊) 上榜双向联系 @hajimi11_bot 自助报告提交 @qwglbot 赏颜阁聊天群 @szayg1 赏颜阁轮播群 @szsyg2 赏颜阁报告榜 @szsyg4 【查询功能】 导航、出勤、附近、工兵、上榜、报告、竞拍、汉化、积分规则、积分兑换 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 69 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/rcrczz |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 |
|---|---|---|
| 24 Sept 2026, 20:18 | 31,705 | no change |
| 24 Sept 2026, 20:01 | 31,705 | -1,132 |
| 18 Sept 2026, 19:37 | 32,837 | no change |
| 18 Sept 2026, 18:56 | 32,837 | +70 |
| 16 Sept 2026, 11:57 | 32,767 | +5 |
| 16 Sept 2026, 08:41 | 32,762 | +1 |
| 14 Sept 2026, 13:18 | 32,761 | +1 |
| 14 Sept 2026, 12:39 | 32,760 | +132 |
| 13 Sept 2026, 00:16 | 32,628 | -3 |
| 12 Sept 2026, 20:41 | 32,631 | +17 |
| 11 Sept 2026, 03:55 | 32,614 | -9 |
| 11 Sept 2026, 01:40 | 32,623 | +51 |
| 8 Sept 2026, 08:18 | 32,572 | +20 |
| 8 Sept 2026, 01:56 | 32,552 | +30 |
| 5 Sept 2026, 05:20 | 32,522 | +20 |
| 4 Sept 2026, 23:01 | 32,502 | +170 |
| 3 Sept 2026, 09:42 | 32,332 | +4 |
| 3 Sept 2026, 09:16 | 32,328 | +67 |
| 2 Sept 2026, 05:34 | 32,261 | -2 |
| 2 Sept 2026, 01:28 | 32,263 | first reading |
Engagement
240 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 89 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.16%
- avg views ÷ 31,705 subscribers
- Avg views / post
- 369
- 113 posts measured
- Reaction rate
- 0.269%
- reactions ÷ views · ER floor
- Posts in window
- 113
- of 240 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 35 of 113 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 240 (6 August 2026 – 27 September 2026) |
| Views total | 41,680 |
| Reactions total | 42 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 22:41 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
- ≈1,150
- Videos
- ≈154
- Links
- ≈220
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 15m 35s
- Average length
- 10s
Measured directly from 98 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
68 reactions across 46 posts, in 5 distinct kinds. The most used accounts for 85.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 58 | 85.3% | |
| 👍 | 4 | 5.88% | |
| 🥰 | 4 | 5.88% | |
| 👏 | 1 | 1.47% | |
| 🔥 | 1 | 1.47% |
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 62 of the 240 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 68 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 240 most recent posts we hold, published 6 August 2026 to 27 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
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✅花名:#一宁 😘水费:#1200p 📍地区:#南山 🧑🩰身高:160 罩杯:C 💎标签:#嫩妹 #六九 ✈️电报:@yiningshen ☎️双向:@szYINING_bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
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❤1
✅花名:#花椰椰 😘水费:#600P 📍地区:#龙华 🧑🩰身高:158罩杯:C 💎标签:#嫩妹 #六九 #鸳鸯浴 ✈️电报:@Fa_caiyeTG ☎️双向:@Fa_caiyeye_bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
❤1
✅花名:#小雯 😘水费:#1200P 📍地区:#南山 🧑🩰身高:163罩杯:A 💎标签:#嫩妹 #六九 ✈️电报:@xiaowen78987 ☎️双向:@xiaowen78987bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
❤1
✅花名:#李晨曦 😘水费:#900p 📍地区:#南山 🧑🩰身高:165👙罩杯:C 💎标签:#嫩妹 #六九 #舌吻 ✈️电报:@chenxi520 ☎️双向:@cxfc77_bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
✅花名:#小颜宝 😘水费:#800P 💎标签:#嫩妹 📍地区:#宝安 🧑🩰身高:160👙罩杯:B ✈️电报:@zxc123467 ☎️双向: 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
✅花名:#王富贵 😘水费:#1600P 💎标签:#嫩妹 📍地区:#龙岗 🧑🩰身高:168 👙罩杯:34C ✈️电报:@kk586935 ☎️双向:@kk586935bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
✅花名:#奶盖 😘水费:#1500p 📍地区:#南山 🧑🩰身高:167 👙罩杯:C 💎标签:#嫩妹 #Kiss #鸳鸯浴 ✈️电报:@naigai00 ☎️双向:@naigai880bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与
✅花名:#江晚清 😘水费:#700p 📍地区:#南山 🧑🩰身高:168罩杯:C 💎标签:#嫩妹 #舌吻 #口爆 ✈️电报:@jqing99 ☎️双向:@jjwwqq99tetris_bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
✅花名:#沈月 😘水费:#800P 📍地区:#福田 🧑🩰身高:166罩杯:C 💎标签:#嫩妹 #舌吻 #六九 ✈️电报:@dingding8981 ☎️双向:@dingding8852tetris_bot 深圳赏颜阁: @szsyg1 上榜机器人: @hajimi11_bot 车评机器人: @qwglbot 写车评获取出击码参与抽奖
Showing the 12 most recent of 240 posts we hold for @rcrczz. 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 34 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 22 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.
@szsyg4 · 6,49654 posts赏颜阁【甄选榜】
@szsyg6 · 12,08126 posts小雨报告
@opkh588 · 94 posts橙橙宝的📖屋
@chenchenbao0v0 · 583 posts深圳罗湖🥀🥀圆圆
@yuan529 · 9073 posts报告福利频道
@abc5328 · 242 posts辰辰频道
@Aldjsnxk · 1432 posts呆呆
@daiguaq · 1,1912 posts南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 13,5322 posts深圳龙华兔兔频道
@nsnnfjdj · 1,8852 posts小微的闲屋🏘️
@qiqi6612 · 1492 posts欣欣的小窝
@qiuqiu2056 · 5042 posts星晴の小窝
@xinxin20260805 · 3952 posts伊娃报告频道
@yiwabaogao · 302 posts小雅后花园
@ytd909 · 2,3642 posts可可解忧小屋🏡
@httpdkttk · 1201 post南山 茉莉(可拍片)
@iy5545 · 3,1661 post泡泡色色日记❤️
@paopao7699 · 1,8531 post妮妮的后宫佳丽
@xiyue99 · 3101 post小鱼的胡桃里🌌
@XX20086 · 7491 post07晓晓的神秘花园
@xxft520 · 3831 post依一的快乐星球
@Yiyiya77777 · 9071 post
Names
Channels on the register whose handles appear in this channel's posts.
@szshangyange · 38,011145 posts搜女推广 • XChat资源 • XChat广告 • XChat引流
@sz_syg · 3,96134 posts命运之轮
@SaberVerifier · 2,4049 posts深圳库洛米嫩妹丝足抓龙筋SM⭕️
@szklmgp · 10,7947 posts阿瓦隆通知站
@AvalonNote · 1,6874 posts深圳宝安吉伊抓龙筋丝足SM
@szbajypd · 4,4754 posts深圳南山毛毯熊抓龙筋丝足SM
@szmtxpd · 3,6914 posts深圳赏颜阁(轮播)
@szsyg2 · 23,7994 posts深圳赏颜阁(备用)
@szsyg5 · 5,1964 posts赏颜阁【甄选榜】
@szsyg6 · 12,0814 posts南山 思欲 疗愈半裸抓龙筋SPA
@Lxzlj52000 · 3,8953 posts深圳外围、深圳修车《时光中圈》
@szxc1314 · 9803 posts时光深圳大圈、广州大圈 全国资源
@szxc520 · 3,4633 posts深圳南山05后半裸丝足抓龙筋 玉桂狗店
@szyggpd · 4,3663 posts荷花:深圳会所推荐官
@SZYY5683 · 3,5243 posts深圳东莞按摩聊天吹水
@z2728822 · 1,3493 posts深圳南山浅吟&半裸疗愈释放抓龙筋
@qyspa2026 · 6,6452 posts全国包养萝莉/处女/学妹(广告频道)
@shuier333777 · 172 posts深圳龙华库洛米抓龙筋丝足SM
@szkuluomipd · 9,9282 posts深圳福田美乐蒂抓龙筋丝足SM
@szmldpd · 6,6602 posts南山樱花🌸境·疗愈セクシー抓龙筋SPA
@yhuajzlj88 · 9,6792 posts南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 13,5321 post南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 8,0471 post初见·疗愈半裸抓龙筋
@szlhrispa · 10,0231 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@rcrczz 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 18 August 2026 – 20 August 2026 · confirmed gone 14 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳赏颜阁公开榜” (@rcrczz), 31,705 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/rcrczz.
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.