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Channel

全国莞式选妃总频道

@ninswlww

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

1,110subscribers

+1 since we began measuring on 5 September 2026

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

Register entry

Telegram ID-1003784932053
TypeChannel
Username@ninswlww
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded5 September 2026
Last confirmed live8 September 2026
Measurements held2
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/ninswlww

Growth

1,1091,1101,109.55 September 2026 — 1,109 subscribers8 September 2026 — 1,110 subscribers5 September 20268 September 2026
2 measurements spanning 2 days, net +1. 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 1,109–1,110 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 03:171,110+1
5 Sept 2026, 23:221,109first reading

Engagement

8 posts held, back to 26 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
0.203%
avg views ÷ 1,110 subscribers
Avg views / post
2.3
8 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
8
of 8 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 5 September 2026
Posts held8 (26 August 20265 September 2026)
Views total18
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Sept 2026, 23:22 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
19s
Average length
6s

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.

Recent posts

5 Sept 2026, 23:03 UTC2 viewsread 5 September 2026

🚀️闲人互推-B4车🚀 AD: 问鼎/多多28/爆奖推荐100送100 🪽肤白貌美大长腿气质佳在线裸聊👄👄 🪽骚气小姐姐在线裸聊一对一👄 🪽国漫3D动漫天堂 🪽南昌修车(精选资源) 🪽衢州外围全套服务 🪽湖州极品外围多次多彩小嫩妹外出 🪽太原修车|上门|品茶 🪽南京外围小歪 🪽大连品茶工作室 🪽北京高端对版妓 🪽初恋女友 🪽异性SPA/男技师与富婆秘密 🔞 🪽海角社区(精选) 🪽全国莞式选妃总频道 🪽91露出户外自拍 🪽杭州极品品茶外围 🪽常熟外围/上门 📁🔥免费社工库🏅送大头照🏅查全家户籍🏅开盒人肉🔥 互推交流: @xianrenhutuiss

5 Sept 2026, 22:59 UTC2 viewsread 5 September 2026

一个很邪恶的频道 未满十八岁禁止入内 🚀来自百度互推【 E24 】组🚀 1. 菲菲情趣裸聊1v1 国产剧情👅👅 2. 熟女吧👙乱伦人妻精品 3. 查档👉司法冻结🧊边控 重点人员排查🧊立案详情 4. 全网主播福利预览 5. 主播优选-直播资源预览库 6. 网红 🔞虎牙/快手/抖音/主播福利 7. 淄博黑丝制服幼师兼职随便操 8. COS福利姬😘Cosplay😁角色扮演 9. 91熟女吧👙乱伦精品 10.温州外围精品海选 11.㊙️抖音网红记录㊙️ 12.全国莞式选妃总频道 😍一个很牛逼的频道 限时免费开放 👙失足少女求调教(人妻被逼出轨😍) 💋性瘾少女嫩穴想被插入😍

5 Sept 2026, 22:31 UTC2 viewsread 5 September 2026

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5 Sept 2026, 21:48 UTC2 viewsread 5 September 2026

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5 Sept 2026, 18:14 UTC2 viewsread 5 September 2026

⭐️⭐️⭐️星链互推 - B04车⭐️⭐️⭐️ 1. 武汉外围上门喝茶 2. 中南楼凤大全 3. 麻豆91/国产AV剧情 4. 酒店偷拍|摄像头直播|泄露曝光 5. 粉馒头Cosplay预览群 6. 中文字幕日本 7. 闷骚眼镜妹 8. 精神小妹 9. 初中班花女友 10. 初中校花 11. 成都嫩妹上门服务 12. 91露出户外自拍 13. 91少妇集结地 14. 初恋女友 15. 拉萨上门约 16. 91 人妻 自慰 熟女 17. 初中女友单纯 18. 日本AV合集 19. 全国上门【高质量外围】 20. ㊙️☘️老船长树洞㊙️ 21. 初中闷骚小妹 22. 单纯女友的第一次 23. 💖中文字幕日本AV合集💖

26 Aug 2026, 14:16 UTC3 viewsread 5 September 2026
Photo

🦋170D 可盐可甜 可萌可御 完美极品 🦋92斤 皮肤白嫩 温柔可人 🦋不催不吵 对待男友般细心服务 🦋全身0整 完美比例 🦋只见高素质导 🉑指定验 ❣️无需提前任何费用即可安排 🈶照片可选人,低消费,高质量❗️ 💯专业资源💯安全靠谱💯合作愉快💯 🌹唯一客服🛫TG:@chayuanyuan1 🌹双向限制🛫TG: @chayuanyuan1bot

26 Aug 2026, 14:12 UTC3 viewsread 5 September 2026
Photo

清远 本人雪白到反光 三点超粉嫩 皮肤非常嫩滑 身体柔软 前凸后翘 肌肤柔软光滑 🔥好不事,温柔可人 ❣️无需提前任何费用即可安排 🈶照片可选人,低消费,高质量❗️ 💯专业资源💯安全靠谱💯合作愉快💯 🌹唯一客服🛫TG:@chayuanyuan1 🌹双向限制🛫TG: @chayuanyuan1bot

26 Aug 2026, 14:11 UTC2 viewsread 5 September 2026
Photo

桂林 温柔体贴,性格超好, 情商高,配合度高💧多紧致, 让你体验红粉知己的感觉 ❣️无需提前任何费用即可安排 🈶照片可选人,低消费,高质量❗️ 💯专业资源💯安全靠谱💯合作愉快💯 🌹唯一客服🛫TG:@chayuanyuan1 🌹双向限制🛫TG: @chayuanyuan1bot

Showing the 8 most recent of 8 posts we hold for @ninswlww. 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 12 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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“全国莞式选妃总频道” (@ninswlww), 1,110 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/ninswlww.

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.