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Channel

深圳【认证资源榜】

@shenzhenrzzy

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

34,288subscribers

+1,011 since we began measuring on 22 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002399314466
TypeChannel
Username@shenzhenrzzy
Description深圳公开榜 个人兼职的老师可以联系管理上榜推广。 业务请联系本群唯一群管理员: @vip999w 深圳交流群: @shenzhenwaiwei03
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded22 August 2026
Last confirmed live25 October 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/shenzhenrzzy

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 65% 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

32,56334,28833,425.522 August 2026 — 33,277 subscribers23 August 2026 — 33,247 subscribers24 August 2026 — 33,241 subscribers25 August 2026 — 33,186 subscribers26 August 2026 — 33,261 subscribers27 August 2026 — 33,336 subscribers29 August 2026 — 33,270 subscribers29 August 2026 — 33,241 subscribers30 August 2026 — 33,212 subscribers31 August 2026 — 33,218 subscribers1 September 2026 — 33,262 subscribers2 September 2026 — 33,224 subscribers4 September 2026 — 33,208 subscribers6 September 2026 — 33,171 subscribers10 September 2026 — 33,139 subscribers12 September 2026 — 32,779 subscribers14 September 2026 — 32,563 subscribers15 September 2026 — 32,588 subscribers18 September 2026 — 32,654 subscribers30 September 2026 — 33,194 subscribers5 October 2026 — 33,602 subscribers10 October 2026 — 33,568 subscribers13 October 2026 — 33,749 subscribers15 October 2026 — 33,588 subscribers16 October 2026 — 33,545 subscribers16 October 2026 — 33,611 subscribers17 October 2026 — 33,760 subscribers18 October 2026 — 33,814 subscribers20 October 2026 — 33,945 subscribers21 October 2026 — 33,999 subscribers22 October 2026 — 34,032 subscribers23 October 2026 — 34,148 subscribers24 October 2026 — 34,226 subscribers25 October 2026 — 34,288 subscribers22 August 202625 October 2026
34 measurements spanning 64 days, net +1,011. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 32,304–34,547 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Oct 2026, 09:2834,288+62
24 Oct 2026, 09:3534,226+78
23 Oct 2026, 10:0634,148+116
22 Oct 2026, 07:1934,032+33
21 Oct 2026, 01:0633,999+54
20 Oct 2026, 00:0533,945+131
18 Oct 2026, 23:5533,814+54
17 Oct 2026, 21:4733,760+149
16 Oct 2026, 23:4433,611+66
16 Oct 2026, 02:5833,545-43
15 Oct 2026, 01:2733,588-161
13 Oct 2026, 18:1133,749+181
10 Oct 2026, 01:2233,568-34
5 Oct 2026, 21:5433,602+408
30 Sept 2026, 12:5833,194+540
18 Sept 2026, 02:1832,654+66
15 Sept 2026, 21:3832,588+25
14 Sept 2026, 04:3832,563-216
12 Sept 2026, 10:1832,779-360
10 Sept 2026, 07:3933,139first reading

Engagement

30 posts held, back to 19 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.85%
avg views ÷ 34,288 subscribers
Avg views / post
1,660
17 posts measured
Reaction rate
0.191%
reactions ÷ views · ER floor
Posts in window
17
of 30 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 16 of 17 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 October 2026
Posts held30 (19 August 2026 – 23 October 2026)
Views total28,259
Reactions total52
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 14:36 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
≈1,320
Videos
≈197
Links
≈94

Lifetime counters from Telegram’s own channel header, read 25 October 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
1m 35s
Average length
8s

Measured directly from 12 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

92 reactions across 29 posts, in 6 distinct kinds. The most used accounts for 35.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3335.9%
🔥2830.4%
👍2426.1%
🥰55.43%
👌11.09%
🤩11.09%

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 29 of the 30 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 92 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 19 August 2026 to 23 October 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

23 Oct 2026, 03:08 UTC≈1,040 views1 reactionsread 25 October 2026
Photo

城市:#深圳 年龄:23 身高:162 体重:88 罩杯:D 学历:本科 职业:实习 是否是chu女:否 可不可以口:可 是否可内🐍:否 是否可无tao:体检➕🌾 是否可SM:轻度 有没有纹身和抽烟:没有 是否能去外地(省外):是 是否可过夜:是 月可陪伴天数:3 月生活费要多少:1w 分几次给生活费:1-2次 自我介绍加分项:皮肤冷白皮、无纹身 可甜可御 反差感强 纯天然无整,敏感体质真🐻D 会配合,事不多,听话懂事乖巧 会照顾人。 对金主的雷点(不接受):狐臭口臭不爱干净 介绍费7888 野花香🌸 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 🥾橙心客服🥾:@cxbaoyang 🥾双向客服🥾@cxbaoyangbot 🥾更多资料查看🥾:@cxbaoy

🔥1

23 Oct 2026, 03:08 UTC≈1,040 views3 reactionsread 25 October 2026
Photo

中介:PYS 省份:#广东 城市精确到区:#深圳 #龙岗 年龄:21 身高:170 胸:C 体重:120 可否飞往外省 :可 提前沟通 可国外另谈 是否在dushu:是 实习了 有没有纹身:无 姨妈期什么时候 :月底 能不能口:可 能过夜吗: 能 能不能🈚️套:前期不行 后面长期了可以 能否接受SM :轻微 每月可陪伴天数 : 3天 十天 外地能连续就连续 本地随老板 能接受多大对老板有什么要求:无 是否chu女:否 能不能同居:不能 最快多久出发:提前说 期望💰:1w 3w 国外另谈 特点加分 :皮肤白嫩 脾气好有边界感 介绍费 7888 一生 东 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 🥾橙心客服🥾:@cxbaoyang 🥾双向客服🥾@cxbaoyangbot 🥾更多资料查看🥾:@cxbaoy

❤1👍1🔥1

22 Oct 2026, 01:21 UTC≈1,040 views3 reactionsread 25 October 2026
Photo

昵称: 省份:#广东 城市:#深圳 年龄:23 身高:158 体重:47 罩杯:34C 职业/雪生:金融 是否chu女:否 能否接受SM:否 能否接受口:可 能否接受无T(体检/试纸后)不内:可加米 是否接受内设:否 是否有纹身:没有 例假日期:24号 可否接受同居:可 可否接受过夜:可 月可陪伴天数:3-5 可否前往其他城市:可以 有没有港澳通信证:有 不接受类型(雷点):没有耐心。太胖。 生活费要多少:3天6000 5天1 (生活费能否接受分次):2次 自我优点(加分项):妈生脸,本课毕业,外企上班,双商在线,可提供情绪价值。可cosplay,接受度高, 属于温柔体贴型,懂事,为他人着想,风格 甜美清纯 性格温柔 开朗,会给你满满情绪价值,性格活泼,温柔体贴,善解人意,超敏感体质 三点粉 介绍费:6888 安静 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资…

❤1👍1🔥1

22 Oct 2026, 01:21 UTC≈1,050 viewsread 25 October 2026
Photo

昵称: 省份:#广东 城市:#深圳 年龄:22 身高:162 体重:46KG 罩杯:C 雪生/工作: 雪生 纹身抽烟:无 雷点(不能接受):胖丑油腻 是否chu女: 否 能否接受SM:可 金主体检后无T(不内🐍):🉑 能否接受口: 可 可同居:否 可过夜:可 可陪伴天数:3-5 可否飞往外省: 可 可否其他城市:可 可否chu国:🉑 宝宝要多少生活费: 3天1.5 5天2.5 生活费可否分几次付完:两次 姨妈期时间:月初 匹配好几天出发找男友:两天内 自我加分项:白虎馒头一线天,三点粉,性格好体贴能提供情绪价值高学历高情商谈吐好反差 介绍费:7888 安静 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 🥾橙心客服🥾:@cxbaoyang 🥾双向客服🥾@cxbaoyangbot 🥾更多资料查看🥾:@cxbaoy

19 Oct 2026, 08:54 UTC527 views1 reactionsread 23 October 2026
Photo

😛 名称:#文静 📍 地区:#深圳 #南山 💰 价格:#8P #15PP 😒 认证:#视频认证 ✈️ 联系:@asdp6616 💟 频道:@asdp6613 🤖 双向:@asdp6612bot 🏷 标签:#共浴 #舌吻 #无套口

🔥1

19 Oct 2026, 01:47 UTC512 views3 reactionsread 23 October 2026
Photo

省份:#广东 城市:#深圳 年龄:23 身高:165 体重:98 罩杯:C 雪生/工作:电商客服 是否是chu:否 可不可以口:👌 能不能无🍑:不 能不能内🐍:不 SM能不能:不 吸烟/纹身:没有 是否可外省:👌 是否可过夜:👌 月可陪伴天数:7 三天要多少:3天1.5W 大姨妈日期:20 找金主的原因:经济压力大 分几次给生活费:两次 自我介绍加分项:身材好,听话,皮肤好 对老板雷点:无 介绍费:7888 酒鬼⁣⁣‌‌​‌​​‌​​‌‌‌‌‌‌​‌​‌​​‌​​‌​‌​‌​​‌‌​‌‌‌​​​‌​​‌​‌‌‌‌‌‌‌​​‌​​‌‌‌​‌​‌⁤⁣​‌‌​‌​‌​​​​​​​‌‌​​‌‌​‌​​​‌‌​​​‌​​‌​‌‌​​‌​​​‌‌​​‌‌‌​​​‌‌‌‌‌​​​‌‌​⁤​​‌‌‌‌‌‌​​‌​‌‌​​​​‌‌‌​‌​​​‌‌‌‌​‌​​‌‌​‌​​‌‌‌‌​‌​‌‌​‌‌‌‌​​‌‌‌‌​‌​⁤​⁠⁠⁣‌​​‌‌‌‌‌​…

❤1👍1🔥1

15 Oct 2026, 03:18 UTC≈1,700 views3 reactionsread 23 October 2026
Photo

昵称: 昵称: l 省份:广东 城市:深圳 年龄:21 身高:160 体重:98 罩杯:b+ 职业:无 是否chu:否 能否口:🉑 能否SM:轻微 能否无套(体检/试纸后):否 能否内🐍(体检/试纸后):否 能否过夜:🉑 能否同居:看情况 有没有纹身:🈚️ 可否飞外省:🉑 亲戚日期:月底 每月陪伴天数(满/多少天):3 期望零花钱:3天1w 零花钱分几次:2 找金主的原因:无 最早出发时间:1-3 期待他是怎样的人:爱干净,没有口臭等异味不肥胖 自我介绍加分项:温柔细心,身材匀称有肉感 ,长相温和,下面好看[玫瑰] 介绍费:7888 步登凌云2 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 唯一包养客服 @Baoyxin 双向私聊限制 @Baoyxin_bot

❤1👍1🔥1

14 Oct 2026, 12:50 UTC≈2,640 views4 reactionsread 21 October 2026
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🤔兰亭集精选全套会所🤔 #深圳 ⚡️⚡️主打颜值 服务 环境 安全为一体的高端私密会所 ⚡️⚡️想玩会所找我,长期靠谱安全稳定 📹全裸艳舞 鸳鸯戏水 水磨推拿🥰 📹口舌调情 后口毒龙 胯下吞龙🥰 📹手推胸推 足推臀推 激情爱爱🥰 📹指划漫游 制服情趣 到店海选🥰 🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣 一直传承老莞式全方位整套会所服务 为男人打造尊享一条龙服务! 🥸🥸🥸🙁🤯😖😏🤬😳😳😳 🤬 到店海选 一对一服务 🤗 🥰全天妹妹在线🔞 学生🤗萝莉🤗少妇🤗嫩模 😲 可双飞👕过夜👕至尊体验 😲 ✨ 无需定金 零门槛 无上门(到店消费安全放心) ⚡️⚡️合作会所每天都有补充颜值高、活好的年轻技师 客服号: @gopd8888 双向

❤2👍1🔥1

13 Oct 2026, 14:11 UTC≈2,200 views5 reactionsread 18 October 2026
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😛 名称:#巨乳琪琪 (不限次数) 📍 地区:#深圳 #罗湖 💰 价格:#568P 😒 认证:#个人老师 ✈️ 联系:@luohu999qi 💟 频道:@luohu999qiqi 🤖 双向:@luohu999_bot 🏷 标签:#胸推 #69式 #口爆

❤2👍2🔥1

12 Oct 2026, 04:20 UTC≈2,270 views3 reactionsread 18 October 2026
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昵称:凡星W280 省份:广东 城市:深圳 年龄:21 身高:167 体重:102 罩杯:C 职业:教师 是否chu女:否 能不能SM:不能 能不能无套:能 能不能内🐍:不能(加💰1k) 能否接受口:能 可同居:可 可过夜:可 月可陪伴天数:2-5 可否飞往异地:可 最快多久出发:提前沟通 是否有港澳通行证:否 是否有抽烟或纹身: 雷点不能接受男友的:不讲卫生,玩sm 大姨妈啥时候来:月初 生活费要多少:7k-1.6w 生活费分几次给:1-2 自我加分项:21岁老师缺钱下海,本人皮肤白好,胸大腰细身材好,水多嫩紧,可御可甜,床上反差拉满主动不冷场肯配合,性格听话懂事好说话 介绍费:7888凡星 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 🥾橙心客服🥾:@cxbaoyang 🥾双向客服🥾@cxbaoyangbot 🥾更多资料查看🥾:@cxbaoy

❤1👍1🔥1

12 Oct 2026, 03:35 UTC≈1,140 views2 reactionsread 14 October 2026

【报告来源】:群链接 【验证留名】:惊奇 【验证时间】:11.11 【修车水费】:12p 【服务内容】:见课表 【颜值身材】:肤白,腿长,嫩妹 【凶器罩杯】:C 【体验细节】:工作室很干净也挺大,洗得香香的,妹妹很热情,颜值很精致素颜,不化妆看起来也不错,化妆了不敢想象有多漂亮 身材超级棒,给了费用就安排洗澡了,很贴心说话相当的温柔,脱了衣服奶子也大,皮肤很嫩,口活也不错,可爱甜美类型属于,很不错,体验感拉满,好评。非常值 【事逼行为】:无 【优点缺点】:没有缺点 【推荐程度】:非常推荐 【妹子联系】: @wwyt520 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

❤1🔥1

8 Oct 2026, 13:42 UTC≈2,310 views3 reactionsread 14 October 2026
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【极致欢愉】 换装女仆spa. ⭐ 主人~来极致欢愉spa私密馆,让骚浪极品女仆跪在你面前侍奉 ! ⭐ 在这里,黑丝、短裙、娇喘、湿滑小手……全部为您敞开,榨干你的每一滴~ ⭐️ 799元 · 60分钟 极致榨精服务 ⭐️ (导航):点击>>观看 (服务流程) :点击 >> 观看 https://t.me/xnlspahhh/41 (预约流程) : 1️⃣ 店内常驻金牌技师3-4位,兼职主播模特5位以上随叫随到可选到满意。 2️⃣ 预约好时间后可到店选人,也可线上指定技师,因为保证服务质量,一小时20分钟一位,所以请提前预约时间安排房间。 🍎【兼职可加联系方式可私约】#深圳 房间私密安全氛围极佳,单独房间配置独立卫浴和浴缸 🛁 【位置请私信可以查看】 ❗️ 【注意】❗️:无任何类型的会员卡,充值卡,次数卡。 🌷 预约客服 : @nacney ⭐ 双向机器人 :@xnlspabot 🌷 QQ号:3…

❤1👍1🔥1

Showing the 12 most recent of 30 posts we hold for @shenzhenrzzy. 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 edited after publishing

@shenzhenrzzy edited 1 post 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.

First edit seen
24 August 2026
Most recent edit
24 August 2026

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

Named by 1 registered channel — 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.

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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“深圳【认证资源榜】” (@shenzhenrzzy), 34,288 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/shenzhenrzzy.

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.