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Channel

南宁科技大学公开磅

@KJDX001

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

26,203subscribers

+8,429 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1003325667644
TypeChannel
Username@KJDX001
Description交流群:👉 https://t.me/naning002 上榜联系: @Chongsglbot
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live26 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/KJDX001

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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

17,77426,20321,988.511 August 2026 — 17,774 subscribers11 August 2026 — 17,774 subscribers12 August 2026 — 18,058 subscribers14 August 2026 — 18,354 subscribers15 August 2026 — 18,647 subscribers17 August 2026 — 18,828 subscribers18 August 2026 — 18,981 subscribers19 August 2026 — 19,134 subscribers20 August 2026 — 19,416 subscribers22 August 2026 — 19,674 subscribers23 August 2026 — 19,945 subscribers25 August 2026 — 20,055 subscribers26 August 2026 — 20,201 subscribers27 August 2026 — 20,335 subscribers28 August 2026 — 20,488 subscribers29 August 2026 — 20,665 subscribers30 August 2026 — 20,786 subscribers31 August 2026 — 21,020 subscribers1 September 2026 — 21,237 subscribers2 September 2026 — 21,380 subscribers3 September 2026 — 21,640 subscribers5 September 2026 — 22,020 subscribers9 September 2026 — 22,532 subscribers11 September 2026 — 23,005 subscribers13 September 2026 — 23,335 subscribers15 September 2026 — 23,667 subscribers16 September 2026 — 24,065 subscribers19 September 2026 — 24,570 subscribers26 September 2026 — 26,203 subscribers11 August 202626 September 2026
29 measurements spanning 46 days, net +8,429. 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 16,510–27,467 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
26 Sept 2026, 07:3626,203+1,633
19 Sept 2026, 13:1724,570+505
16 Sept 2026, 23:1824,065+398
15 Sept 2026, 01:3823,667+332
13 Sept 2026, 11:0123,335+330
11 Sept 2026, 13:2123,005+473
9 Sept 2026, 00:0222,532+512
5 Sept 2026, 17:5822,020+380
3 Sept 2026, 16:2121,640+260
2 Sept 2026, 09:0321,380+143
1 Sept 2026, 09:5221,237+217
31 Aug 2026, 07:3721,020+234
30 Aug 2026, 04:3320,786+121
29 Aug 2026, 01:0520,665+177
28 Aug 2026, 01:2420,488+153
27 Aug 2026, 02:4820,335+134
26 Aug 2026, 03:2920,201+146
25 Aug 2026, 02:5820,055+110
23 Aug 2026, 19:0419,945+271
22 Aug 2026, 02:0819,674first reading

Engagement

116 posts held, back to 11 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.10%
avg views ÷ 26,203 subscribers
Avg views / post
1,070
32 posts measured
Reaction rate
0.274%
reactions ÷ views · ER floor
Posts in window
32
of 116 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 25 of 32 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 28 September 2026
Posts held116 (11 August 2026 – 28 September 2026)
Views total34,380
Reactions total75
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 10:36 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
997
Videos
216
Links
319

Lifetime counters from Telegram’s own channel header, read 28 September 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
9m 55s
Average length
10s

Measured directly from 61 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

310 reactions across 83 posts, in 11 distinct kinds. The most used accounts for 67.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤20967.4%
🔥6621.3%
👎144.52%
👍134.19%
❤‍🔥20.645%
💩10.323%
💯10.323%
🤔10.323%
🤡10.323%
🤣10.323%
🥰10.323%

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 88 of the 116 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 310 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 116 most recent posts we hold, published 11 August 2026 to 28 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

28 Sept 2026, 10:11 UTC130 viewsread 28 September 2026
Photo

艺名: 越悦 南宁(#清秀区)有🏠 心动值: 7 身高: 168 体重: 50kg 胸围: D 年龄: 00后 点击联系👉: 越悦老师 双向联系: @yuey122bot 个人频道: https://t.me/hsbsra 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分) 上榜/投诉/: @Chongsglbot 南宁科技大学聊天群✅

28 Sept 2026, 09:07 UTC305 views1 reactionsread 28 September 2026
Photo

艺名: 鱼丸 南宁(#清秀区)有🏠 心动值: 6 身高: 160 体重: 42.5kg 胸围: B+ 年龄: 18 点击联系👉: 鱼丸老师 双向机器人:@yybb1313bot 个人频道: https://t.me/ywexjkkn 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分) 上榜/投诉/: @Chongsglbot 南宁科技大学聊天群✅

❤1

26 Sept 2026, 15:02 UTC≈1,920 views0 reactionsread 28 September 2026
Photo

👉南宁云指SPA 92👉 东盟休闲养生SPA,无套路,不加钟! 【项目流程】 399 60分钟(柔式半L,贴身服务,性价比超高)🛀,洗头柔式背部按摩,腿部按摩,AB面指尖调情🦶,真空🐻调,臀推,舌尖漫游,耳边哈气,玉足黑丝🦵,制服诱惑,根部保养,柔情起飞🛫降落(一💦) 提前预约,避免空降,提供丝袜黑丝白丝,任君选择!🈚️95🈚️98 到店选,到店选! 资料频道:@nanning111 上官预约 :点击联系 双向聊天: @nnhs11bot

26 Sept 2026, 14:17 UTC≈1,790 viewsread 28 September 2026
Photo

艺名: 婉柔 南宁(#青秀区 )有🏠 可外出 心动值: 6 身高 168 体重90 年龄 18 胸 B 认准老师新账号 点击联系👉:婉柔老师 双向机器人: @wwrr123bot 个人频道:https://t.me/dhh471d 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 上榜/投诉/: @Chongsglbot 南宁科技大学聊天群😍

26 Sept 2026, 11:34 UTC≈1,570 viewsread 27 September 2026
Photo

艺名:OPOP 南宁(#青秀区 )🈶房 可上门 心动值:7 联系方式👉: 点击OPOP老师 双向机器人: @opop2342_bot 个人频道: https://t.me/opop2256 老师评价✍ : 217 2026.8.2棒 2026.8.2优 2026.8.2棒 2026.8.3优 2026.8.3棒 2026.8.3棒 2026.8.3棒 2026.8.3棒 2026.8.3棒 2026.8.3棒 2026.8.4棒 2026.8.4棒 2026.8.4棒 2026.8.5棒 2026.8.5优 2026.8.7棒 2026.8.7棒 2026.8.7棒 2026.8.8棒 2026.8.8棒 2026.8.8棒 2026.8.8棒 2026.8.8优 2026.8.9棒 2026.8.9优 2026.8.9棒 2026.8.10棒 2026.8.10棒 2026.8.11棒 2026.8.11棒 2…

26 Sept 2026, 11:02 UTC≈1,480 views4 reactionsread 27 September 2026
Photo

艺名: 小意 南宁(#青秀区 )有🏠 可外出 心动值: 6 身高 162 体重90 年龄 26 胸 C 点击联系👉:小意老师 双向机器人: @Xiaoyi251bot 个人频道:https://t.me/xiaoyYiii251 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 上榜/投诉/: @Chongsglbot 南宁科技大学聊天群😍

❤4

3 Sept 2026, 16:00 UTC233 views2 reactionsread 3 September 2026
Photo

地区:#青秀区 店名:格莱美·艺术SPA(青秀区七星路口店) 选美:https://t.me/GLMyangsheng 课程:预约价298(真空手🛫一次)-398(半裸手🛫一次)-468(半裸胸🛫一次) 客服电话:18269298216 客服电报: 格莱美客服 客服微信:zhouzhouabpb 备注:有时梯子不稳定,可以直接打电话,到店报(小张预约)直营店无中介(无95无98大哥们免开尊口)

❤1🔥1

3 Sept 2026, 11:00 UTC856 views2 reactionsread 3 September 2026
Photo

艺名:艳舞 南宁(#青秀区)有🏠 心动值: 7 身高: 165. 体重: 102 胸围: D 年龄: 24 “新老师” 联系方式👉: 点击艳舞老师 双向联系: @mrr521588_bot 个人频道: https://t.me/mrr695869 ✍️老师评价: 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 上榜/投诉/: @Chongsglbot 南宁科技大学聊天群✅

❤1🔥1

3 Sept 2026, 07:30 UTC≈1,060 views2 reactionsread 3 September 2026
Photo

小七老师 南宁(#青秀区 )🈶房 可上门 心动值:600p 身高 160 体重45kg 年龄 18 胸36b 点击联系👉:小七老师 双向联系: @ffdsvhgffbot 个人频道: https://t.me/ffhhhhdddr 老师测评 ✍ 21 2026.4.23优 2026.4.27优 2026.4.27优 2026.5.23优 2026.6.1优 2026.6.11中 2026.6.13棒 2026.6.17棒 2026.6.29优 2026.9.10棒 2026.9.12优 2026.7.13中 2026.7.31优 2026.8.1优 2026.8.5优 2026.8.7优 2026.8.9中 2026.8.12棒 2026.8.16雷 2026.8.19棒 2026.8.23优 . 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分) …

❤2

2 Sept 2026, 17:57 UTC≈1,640 views13 reactionsread 3 September 2026

通知: 柚子老师恶意鸽工兵,有逃避工兵行为,拒不认错,态度恶劣,无法调解达成共识。此等恶劣行径,科技大学绝不纵容,经商讨决定,现已下榜处理。

👍12❤1

2 Sept 2026, 15:57 UTC≈1,710 views9 reactionsread 3 September 2026
Photo

艺名: 露莎 南宁(#清秀区)有🏠 心动值: 6 身高: 160. 体重: 108 胸围: C 年龄: 28 点击联系👉: 露莎老师 个人频道: https://t.me/lusha18888 上榜/投诉/: @Chongsglbot 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 南宁科技大学聊天群✅

❤7🔥2

2 Sept 2026, 13:02 UTC≈1,700 views3 reactionsread 3 September 2026
Photo

艺名:莹莹 南宁(#青秀区)有🏠 心动值: 6 身高: 160. 体重: 44kg 胸围: C 年龄: 18 “新老师” 联系方式👉: 点击莹莹老师 双向联系: @yueer555bot 个人频道: https://t.me/yingying116688 ✍️老师评价: 提交报告: @xiuchennbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 上榜/投诉/: @Chongsglbot 南宁科技大学聊天群✅

❤2🔥1

Showing the 12 most recent of 116 posts we hold for @KJDX001. 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 8 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“南宁科技大学公开磅” (@KJDX001), 26,203 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/KJDX001.

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.