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Channel

南山区南乔

@Nan_qiao520

On this record: Growth · Engagement · Posts · Citations · Cite this entry

2,534subscribers

+2,514 since we began measuring on 22 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004443583054
TypeChannel
Username@Nan_qiao520
Created4 August 2026measured — dated from the channel’s first post
First recorded22 August 2026
Last confirmed live5 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/Nan_qiao520

Growth

203,3721,69622 August 2026 — 20 subscribers22 August 2026 — 20 subscribers22 August 2026 — 520 subscribers30 August 2026 — 3,372 subscribers1 September 2026 — 3,006 subscribers5 September 2026 — 2,534 subscribers2,53422 August 20265 September 2026
6 measurements spanning 14 days, net +2,514. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Sept 2026, 20:392,534-472
1 Sept 2026, 19:563,006-366
30 Aug 2026, 04:473,372+2,852
22 Aug 2026, 20:36520+500
22 Aug 2026, 09:0020no change
22 Aug 2026, 08:4520first reading

Engagement

13 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.30%
avg views ÷ 2,534 subscribers
Avg views / post
32.9
7 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
12
of 13 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 August 2026
Posts held13 (4 August 202622 August 2026)
Views total230
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 09:00 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.

Recent posts

22 Aug 2026, 08:05 UTC22 viewsread 22 August 2026
Photo

深圳南山区 #南乔 @Nan_qiao123 已在高牌红中验证上榜🤫🤫😑 狼友可放心出击!🤯😥☹️😭 不搞花里胡哨,天花乱坠的,只求公平 公正 公开 🥺红中验证榜: @xog888 😢红中交流群: @hz1916 🫡红中福利院: @eibmi 😓红中报告榜:@ice1000 😓一键关注高牌红中: https://t.me/addlist/lESWGk12NkhmZDFh

22 Aug 2026, 08:04 UTC24 viewsread 22 August 2026
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🎰 南山区大奶南乔半价福利 📮 参与条件: 🌏️ 归属地 广东 🪪 必须设置用户名 🎫 加入-南山区南乔 🎫 加入-深圳高牌红中抽奖福利 🎫 加入-深圳高牌红中交流群 └ 🎟️ 发言数大于 16 条 🎫 加入-深圳高牌红中约炮榜 🎁 奖品内容: 💰️ P半价 × 1 ⚠️ 抽奖说明: ❶ 刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等行为,均视为无效发言,直接取消中奖资格。请大家用心、真诚交流! ❷ 中奖后请24小时内联系老师,并在3天内完成报告向 @ice1000 提交。因炸号、退群、注销账号等个人原因导致超时未兑换的,不予兑奖。 🔋 人品加成:⚡️⚡️⚡️ 规则 📅 开奖日期:(北京时间) 2026年08月25日 16时03分00秒

22 Aug 2026, 07:32 UTC35 viewsread 22 August 2026
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🎰 南山南乔半价 📮 参与条件: 🎫 加入-南山区南乔 🎫 加入-深圳粤B修车【轮播群】 🎫 加入-深圳粤B修车【免费上榜】 └ 🎟️ 发言数大于 3 条 🎫 加入-深圳粤B修车榜单 🎫 加入-深圳粤B修车报告 🎁 奖品内容: 💰️ P半价优惠券 × 1 ⚠️ 抽奖说明: 炸号者中奖作废 半价券三天内出击 出击完必须写报告 写出击报告加积分 不写报告即时拉黑 转让须经老师同意 半价不给定金最好 定金最多50-100哦 ⚠️注:本次抽奖活动由深圳·粤B修车( @SZ_YUEBI_XC )联合发起,解释权归本群所有。 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年08月24日 12时32分00秒

22 Aug 2026, 07:05 UTCviews —

南山区南乔 pinned «介绍∶带娃小少妇,希望哥哥们温柔对待,身材因生过娃略走样,介意勿扰,胸大,毛少,D🐻,无母乳📣 年龄∶22 身高∶162cm 体重∶55kg 服务内容∶深情陪浴,水中萧,恋爱式调情,亲咪咪,无套口,69,舔蛋蛋,波推 ⚠️无🐍无🐍 👄600p/40分钟 👄1100pp/90分钟 👄900包时不限次/60分钟 👄2800✌🏻晚12-早8 限五次 👄PP+路费可上门(滴滴实时算) 🙅🏻‍♀️不议价 所有服务不包出,超过二十分钟不出水改手打(谢谢理解😘)…»

22 Aug 2026, 07:05 UTC38 viewsread 22 August 2026
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🎰 【骑士团☆南乔 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 —— 南山区南乔 🎟️ 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08月26日 15时04分43秒 ⚡️ 加成说明: ⚡️ 加成消耗:5个少女币🏅 ⚡️ 加成次数

21 Aug 2026, 16:14 UTC37 viewsread 22 August 2026

介绍∶带娃小少妇,希望哥哥们温柔对待,身材因生过娃略走样,介意勿扰,胸大,毛少,D🐻,无母乳📣 年龄∶22 身高∶162cm 体重∶55kg 服务内容∶深情陪浴,水中萧,恋爱式调情,亲咪咪,无套口,69,舔蛋蛋,波推 ⚠️无🐍无🐍 👄600p/40分钟 👄1100pp/90分钟 👄900包时不限次/60分钟 👄2800✌🏻晚12-早8 限五次 👄PP+路费可上门(滴滴实时算) 🙅🏻‍♀️不议价 所有服务不包出,超过二十分钟不出水改手打(谢谢理解😘) 🈲无套/醉酒/嗑药/录音录频/偷拍/手扣/后花园/大🐔/桩基 ⚠️理性约课.约课定一百 ⚠️约课了不是老师原因取消不退定,上课中途也不更改不退费 ⚠️恶意拔套终止课时并追究到底⚠️

Showing the 12 most recent of 13 posts we hold for @Nan_qiao520. 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 9 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.

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

“南山区南乔” (@Nan_qiao520), 2,534 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/Nan_qiao520.

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.