艺名: 海棠 南宁(#青秀区 )🈶房 可上门 心动值:6 身高 164 体重52kg 年龄 26 胸 C 点击联系👉: 点击海棠老师 双向联系: @haitang9988_bot 个人频道: https://t.me/ctjj88488 ✍️老师评价:27 2026.8.11棒 2026.8.11棒 2026.8.13棒 2026.8.21棒 2026.8.21棒 2026.8.28棒 2026.9.1棒 2026.9.4棒 2026.9.7棒 . 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😍

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
30,859subscribers
+13,085 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 |
|---|---|
| Type | Channel |
| Username | @KJDX001 |
| Description | 交流群:👉 https://t.me/naning002 上榜联系: @Chongsglbot |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 18 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 18 October 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Oct 2026, 10:15 | 30,859 | +228 |
| 17 Oct 2026, 13:10 | 30,631 | +225 |
| 16 Oct 2026, 15:05 | 30,406 | +242 |
| 15 Oct 2026, 17:11 | 30,164 | +172 |
| 14 Oct 2026, 15:47 | 29,992 | +284 |
| 13 Oct 2026, 08:57 | 29,708 | +913 |
| 9 Oct 2026, 04:58 | 28,795 | +968 |
| 4 Oct 2026, 15:14 | 27,827 | +1,624 |
| 26 Sept 2026, 07:36 | 26,203 | +1,633 |
| 19 Sept 2026, 13:17 | 24,570 | +505 |
| 16 Sept 2026, 23:18 | 24,065 | +398 |
| 15 Sept 2026, 01:38 | 23,667 | +332 |
| 13 Sept 2026, 11:01 | 23,335 | +330 |
| 11 Sept 2026, 13:21 | 23,005 | +473 |
| 9 Sept 2026, 00:02 | 22,532 | +512 |
| 5 Sept 2026, 17:58 | 22,020 | +380 |
| 3 Sept 2026, 16:21 | 21,640 | +260 |
| 2 Sept 2026, 09:03 | 21,380 | +143 |
| 1 Sept 2026, 09:52 | 21,237 | +217 |
| 31 Aug 2026, 07:37 | 21,020 | first reading |
Engagement
199 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 87 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.61%
- avg views ÷ 30,859 subscribers
- Avg views / post
- 1,420
- 89 posts measured
- Reaction rate
- 0.189%
- reactions ÷ views · ER floor
- Posts in window
- 89
- of 199 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 78 of 89 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 199 (11 August 2026 – 18 October 2026) |
| Views total | 126,587 |
| Reactions total | 210 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Oct 2026, 20:30 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
- ≈1,240
- Videos
- ≈258
- Links
- ≈393
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. 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
- 14m 33s
- Average length
- 10s
Measured directly from 91 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
515 reactions across 155 posts, in 12 distinct kinds. The most used accounts for 71.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 369 | 71.7% | |
| 🔥 | 101 | 19.6% | |
| 👍 | 19 | 3.69% | |
| 👎 | 14 | 2.72% | |
| 🥰 | 3 | 0.583% | |
| ❤🔥 | 2 | 0.388% | |
| 💯 | 2 | 0.388% | |
| 💩 | 1 | 0.194% | |
| 😁 | 1 | 0.194% | |
| 🤔 | 1 | 0.194% | |
| 🤡 | 1 | 0.194% | |
| 🤣 | 1 | 0.194% |
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 163 of the 199 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 515 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 199 most recent posts we hold, published 11 August 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
艺名:佳多宝 南宁(#青秀区 )🈶房 心动值:6 身高 168 体重102 年龄 23 胸 C 联系方式👉:点击佳多宝老师 双向联系: @sxxx2099_bot 个人频道: https://t.me/qqqyyymm 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😍
艺名:姜姜 南宁(#青秀区 )🈶房 心动值:6 身高 165 体重50kg 年龄 23 胸 36B 联系方式👉:点击姜姜老师 双向联系: @yibao66520bot 个人频道: https://t.me/yibaoerO 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😍
艺名:林婉婉 南宁(#青秀区 )🈶房 心动值:6 身高 163 体重55kg 年龄 24 胸 36B 联系方式👉:点击林婉婉老师 双向联系: @bubulinbot 个人频道: https://t.me/bubu8150 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
艺名:小敏 南宁(#青秀区 )🈶房 心动值:6 身高 163 体重98 年龄 19 胸 36C 联系方式👉:点击小敏老师 双向联系: @xiaomina2008_bot 个人频道: https://t.me/xiaomin1098 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
艺名:叮叮 南宁(#青秀区 )🈶房 心动值:7 身高 170 体重49kg 年龄 23 胸 D+ 联系方式👉:点击叮叮老师 双向联系: @jxhsvyshzv_bot 个人频道: https://t.me/dindgdibdga 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😍
❤3🔥1🥰1
艺名:钮钴禄 南宁(#青秀区 )🈶房 心动值:6 身高 172 体重50kg 年龄 26 胸 36C “白虎🐯” 联系方式👉:点击钮钴禄老师 双向联系: 个人频道: https://t.me/NGLDY 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🔥1
艺名:晓晓 南宁(#青秀区 )🈶房 可上门 心动值:4-9 身高 158 体重40kg 年龄 26 胸 34B 抓龙筋 联系方式👉:点击晓晓老师 双向联系: @zhualongjin010_bot 个人频道: https://t.me/a727djs8888 ✍️老师车评: 2 2026.10.16棒 2026.10.17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 上榜/投诉/: @Chongsglbot 南宁科技大学聊天群😍
❤3
南宁92-94空空嫩妹spa 网罗各区嫩妹92资源。 针对喜好,精准匹配,避免踩雷! 营业时间:中午13:00-凌晨5:00 业务覆盖范围:#青秀 #兴宁 #江南 #西乡塘 #五象 SPA项目(真空手)3-4张 SPA项目(半l手)4-6张 SPA项目(半l🐻推)5-6张 SPA项目(全l)5-7张 私影项目(🐍吻)统一799 (不同店价格不同,更多项目详情咨询) 温馨提示:会所不上门 年纪在18-24,店内无95 98,免开尊口。 空空微信 :kong20260303 ☎️电报号: 空空客服 双向联系 @kong20250615_bot 技师图 https://t.me/kkjst20260303 交流群 https://t.me/kong20260303
艺名: 小少妇 南宁(#清秀区)有🏠 心动值: 4 点击联系👉: 小少妇老师 双向联系: @wuyilunnbot 老师频道:https://t.me/+nBgoJTRu-NAxOGI1 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✅
艺名:小贝 南宁(#青秀区)🈶房 心动值:6 身高170 体重 55kg 年龄 18 胸围 D 联系方式👉:点击联系小贝老师 双向机器人: @xiaobeibotbot 个人频道: https://t.me/gagaakkkw ✍️老师评价:14 2026.8.18优 2026.8.18棒 2026.8.20棒 2026.8.21棒 2026.8.28优 2026.8.28棒 2026.8.29棒 2026.8.29棒 2026.9.1优 2026.9.4优 2026.9.7中 2026.9.8优 2026.9.9优 2026.10.10棒 . 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
艺名:越越 南宁(#青秀区 )🈶房 可上门 心动值:6 身高 155 体重86 年龄 20 胸 B+ 联系方式👉:点击越越老师 双向联系: @Yuetinabot 个人频道: t.me/yueyue2026888888 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😍
❤5🔥2
Showing the 12 most recent of 199 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 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@naning002 · 61,059170 posts南宁科技大学报告榜
@nanningchep · 3,28344 posts南宁科技大学出击表
@nanning004 · 5,13232 posts极搜🔍资源搜索@JISOU
@jisou2 · 2,014,8694 posts南宁COSo泡o泡
@opop2256 · 16,6004 posts若熙的小屋
@Ruoxi0008 · 1,4073 posts娇娇的生活圈💕
@suj134 · 1,8353 posts广西南宁杨柳🧚♀️
@aiaibe · 6,6432 posts❤小七的日常
@ffhhhhdddr · 9332 posts南宁格莱美嫩妹SPA
@GLMyangsheng · 4,3112 posts小丫丫 🏰魔法城堡🏰
@httpsyayascom · 1,9632 posts嘉宝的后宫👅
@jiabaoff · 2,8612 posts多多🉐️朋友圈🌷
@kingjier · 1,4992 posts露莎的小屋🛖
@lusha18888 · 9612 posts南宁靠谱口爆写评榜
@nnxnzmohsuo · 2,2592 posts小娜娜的后花园
@qingqingge123 · 6922 posts舒心🏠南宁(图片对版纯自拍)
@Shuxin_i · 1,9282 posts舌吻🐍女王的激情芳香派对👄
@swnw52069 · 2,1022 posts南宁 小龙女05个人兼职(自聊 开课中)
@tz2005_5 · 2,0682 posts🍒小美(清秀开课)
@xiaomeiaa52011 · 1502 posts小思涵(个人自聊) つ😘つ
@ydwh31 · 1,6012 posts兔兔的朋友圈
@zhej928 · 1,2462 posts猫猫🐱本人兼职 c➕
@gjkfv57 · 6141 post小柒月频道
@qiyue14888 · 1471 post
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.
“南宁科技大学公开磅” (@KJDX001), 30,859 subscribers as measured 18 October 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.