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Channel

南宁认证榜

@CT88559

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

29,837subscribers

-1,405 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002248077561
TypeChannel
Username@CT88559
Description我本是修极品的一位小鸡哥, 却被诡计多端的奸人所害冒充我! 核对本群管理名称的每一个字母和数字! 关注下方链接,听我讲述复仇计划! 【修车老总】 @xiaoji888bot 【修车频道】 https://t.me/CT88559 【修车老群】https://t.me/ct8855 【会所外围榜】 @huis888 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888
CreatedBetween 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live18 October 2026
Measurements held38
Confirmed unchanged1 time, most recently 18 October 2026
On Telegramt.me/CT88559

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 83% 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

28,75534,23331,49412 August 2026 — 31,242 subscribers12 August 2026 — 31,242 subscribers13 August 2026 — 31,197 subscribers14 August 2026 — 34,233 subscribers16 August 2026 — 34,103 subscribers17 August 2026 — 33,983 subscribers18 August 2026 — 33,888 subscribers19 August 2026 — 33,841 subscribers20 August 2026 — 33,801 subscribers21 August 2026 — 33,856 subscribers22 August 2026 — 33,519 subscribers24 August 2026 — 33,313 subscribers25 August 2026 — 33,129 subscribers26 August 2026 — 33,001 subscribers27 August 2026 — 32,909 subscribers28 August 2026 — 32,758 subscribers29 August 2026 — 32,364 subscribers30 August 2026 — 32,247 subscribers31 August 2026 — 32,228 subscribers1 September 2026 — 32,126 subscribers2 September 2026 — 32,001 subscribers3 September 2026 — 31,769 subscribers5 September 2026 — 31,486 subscribers9 September 2026 — 31,092 subscribers11 September 2026 — 30,530 subscribers13 September 2026 — 30,037 subscribers15 September 2026 — 29,735 subscribers17 September 2026 — 29,405 subscribers19 September 2026 — 28,755 subscribers26 September 2026 — 29,463 subscribers4 October 2026 — 30,476 subscribers8 October 2026 — 29,816 subscribers13 October 2026 — 30,482 subscribers14 October 2026 — 30,314 subscribers15 October 2026 — 30,165 subscribers16 October 2026 — 30,046 subscribers17 October 2026 — 29,910 subscribers18 October 2026 — 29,837 subscribers29,83712 August 202618 October 2026
38 measurements spanning 67 days, net -1,405. 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 27,933–35,055 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)SubscribersChange
18 Oct 2026, 11:2029,837-73
17 Oct 2026, 08:0129,910-136
16 Oct 2026, 07:3930,046-119
15 Oct 2026, 09:4430,165-149
14 Oct 2026, 13:0430,314-168
13 Oct 2026, 04:4630,482+666
8 Oct 2026, 22:1529,816-660
4 Oct 2026, 12:1630,476+1,013
26 Sept 2026, 03:4229,463+708
19 Sept 2026, 09:3728,755-650
17 Sept 2026, 00:4029,405-330
15 Sept 2026, 01:2029,735-302
13 Sept 2026, 11:5530,037-493
11 Sept 2026, 18:0130,530-562
9 Sept 2026, 05:2131,092-394
5 Sept 2026, 21:5831,486-283
3 Sept 2026, 20:3731,769-232
2 Sept 2026, 11:2432,001-125
1 Sept 2026, 11:2432,126-102
31 Aug 2026, 11:5432,228first reading

Engagement

24 posts held, back to 26 July 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 104 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.98%
avg views ÷ 29,837 subscribers
Avg views / post
2,980
10 posts measured
Reaction rate
0.033%
reactions ÷ views · ER floor
Posts in window
10
of 24 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 6 of 10 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 18 October 2026
Posts held24 (26 July 2026 – 18 October 2026)
Views total29,770
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Oct 2026, 20:59 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
378
Videos
79
Links
29

Lifetime counters from Telegram’s own channel header, read 18 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 15s
Average length
10s

Measured directly from 13 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

31 reactions across 16 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤31100.0%

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 18 of the 24 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 26 July 2026 to 18 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

18 Oct 2026, 08:42 UTC350 views1 reactionsread 18 October 2026
Photo

艺名:coco老师兼职 (培训老师)休重:45Kg年龄:23身高:158工作室:公寓停车方便 课表内容:激情PP,激情69,情趣扮演,丝袜,制服诱惑 正宗莞式服务,让你回味无穷,体检不一样很多人都不会的老东莞服务项目。 不敷衍,配合度高,水多多, 女友式体验,乖巧听说,小巧玲珑,主打开心情绪价值拉满 P500(40分钟) PP 900(80分钟) 2个小时1200(不限次数) 包夜1800(2点~8点不限次数)外出:收路费100 (服务过程中出水也算一次)无议价、无优惠、中途不退单 禁:无套、醉酒、素质太差 宝贝们出来寻欢作乐,开心第一,安全第一 收款方式:尽量现金,支付宝,微信 地址:青秀区万达广场 私聊:@Nnin2026 频道:这里点击预览👀 🔴标签 #已验证上榜

❤1

13 Oct 2026, 11:56 UTC≈1,650 views1 reactionsread 18 October 2026
Photo

95真空游戏场 佳丽介绍 正常摸摸唱 全程真空 95游戏时间段 自带游戏中场包厢公主组织带动氛围。黑灯贴身坐莎游戏 联系方式:19308173106。V同号 ✈️客服: @Ljj169141 群组:点击这里预览👀

❤1

12 Oct 2026, 11:40 UTC≈1,770 viewsread 18 October 2026
Video

🐣南宁会所 94 海选模式 spa 😀清秀/西乡塘/兴宁区/朝阳/江南/良庆/南宁全区😀 体验帝王般服务,提前预约即可 94全裸水疗模式💰 🎎魅式sap丝足,百变cos,无敌特色SM,🧖🏻‍♀️娇滴滴女王,🧏🏻‍♀️霸道御姐等你来撩💃 💗激发男性战斗力✈️理疗同时获得前列腺、海绵体🧽颅内三端高潮🚗欲罢不能,清理私处 走着进店,扶墙出去🫣🉑全L一丝不挂 🉑舌吻爽到飞起👀 💋 老师青一色00后小妹服务(18-26)包年轻。 🩱可根据需求喜好订制专属项目与场景 🔥 每个技师都经过专业培训 严格按照项目流程 ▶️ 激情无限,诱惑丝袜随便撕! 【399-799】 🌟【预约联系咨询课表】🔻🔻🔻 预约认准下方😀唯一客服 👉 @ccc20163 微信 nmnn7937 极品技师推荐榜⬇️ 点击这里预览👀 #南宁会所 #南宁spa #南宁92 #南宁94 #南宁按摩

12 Oct 2026, 07:01 UTC≈1,820 viewsread 18 October 2026
Photo

🟡昵称:#惟宁 🕐地区:#西乡塘 🤖双向: @weilin86bot 🚀电报:@weilin1 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

9 Oct 2026, 06:37 UTC≈2,670 views1 reactionsread 18 October 2026
Photo

🟡昵称: #苏琪 🕐地区:#青秀 🤖双向: @suqi9666bot 🚀电报:@Val9866 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

❤1

4 Oct 2026, 07:26 UTC≈3,950 viewsread 18 October 2026
Photo

🟡昵称: #珠珠 🕐地区:#江南区 🤖双向:@youbaobot 🚀电报:@txuanxua 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

29 Sept 2026, 05:11 UTC≈5,250 views0 reactionsread 18 October 2026
Photo

🟡昵称: #大奶御姐 🕐地区:#南宁市西乡塘区北湖路 🤖双向:@danaiee_bot 🚀电报:@daninkko 🔔小号频道: 频道点击浏览👀 🔔大号频道 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️

28 Sept 2026, 06:35 UTC≈4,090 views2 reactionsread 13 October 2026
Photo

圈界NO.1 🟡昵称:诺希 青秀区东葛路 🤖双向:@xiaoruoxiBot 🚀电报:@tg61800 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 灵魂有香气的女人,岁月定会待你如初见。 🔰#点击下方查看详情⬇️

❤2

28 Sept 2026, 04:40 UTC≈3,780 viewsread 12 October 2026
Photo

🟡昵称: #鱼丸 🕐地区:#青秀区 🤖双向:@yybb1313bot 🚀电报:@clickvv 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

21 Sept 2026, 04:52 UTC≈4,440 views1 reactionsread 9 October 2026
Photo

🟡昵称: #嫣然 🕐地区: #青秀区 🤖双向:@yueyuedcht123bot 🚀电报:@yueyue11682 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

❤1

18 Sept 2026, 08:02 UTC≈4,110 views2 reactionsread 3 October 2026
Photo

🟡昵称: #咪咪 🕐地区: #青秀区 🤖双向: 🚀电报:@mimi900534 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

❤2

14 Sept 2026, 13:05 UTC≈4,500 views2 reactionsread 28 September 2026
Photo

🟡昵称: #婉柔 🕐地区: #青秀区 🤖双向: @wrda123bot 🚀电报:@wr1234s 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

❤2

Showing the 12 most recent of 24 posts we hold for @CT88559. 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 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 18 October 2026 — this entry's latest reading, not the date you are reading this.

“南宁认证榜” (@CT88559), 29,837 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/CT88559.

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.