📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #姜允 🌐坐标: #青山湖 🏷:#嫩妹 #5p #9pp #六九 #鸳鸯浴 #调情 #舔蛋 ☎️:点击获取姜允联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤4

Channel
@nxdxjiaowu
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
20,879subscribers
+12,284 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003337571708 |
|---|---|
| Type | Channel |
| Username | @nxdxjiaowu |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 46 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/nxdxjiaowu |
Adult — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 22:56 | 20,879 | +143 |
| 7 Nov 2026, 11:59 | 20,736 | +133 |
| 6 Nov 2026, 12:46 | 20,603 | +86 |
| 5 Nov 2026, 15:19 | 20,517 | +124 |
| 4 Nov 2026, 17:19 | 20,393 | +131 |
| 3 Nov 2026, 15:54 | 20,262 | +182 |
| 2 Nov 2026, 12:49 | 20,080 | +167 |
| 1 Nov 2026, 12:37 | 19,913 | +155 |
| 31 Oct 2026, 14:49 | 19,758 | +174 |
| 30 Oct 2026, 12:17 | 19,584 | +188 |
| 29 Oct 2026, 09:48 | 19,396 | +194 |
| 28 Oct 2026, 10:30 | 19,202 | +217 |
| 27 Oct 2026, 08:36 | 18,985 | +199 |
| 26 Oct 2026, 12:07 | 18,786 | +307 |
| 25 Oct 2026, 09:06 | 18,479 | +127 |
| 24 Oct 2026, 08:01 | 18,352 | +118 |
| 23 Oct 2026, 11:27 | 18,234 | +95 |
| 22 Oct 2026, 11:49 | 18,139 | +168 |
| 21 Oct 2026, 03:50 | 17,971 | +131 |
| 20 Oct 2026, 03:41 | 17,840 | first reading |
38 posts held, back to 9 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 32 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 9 November 2026 |
|---|---|
| Posts held | 38 (9 August 2026 – 9 November 2026) |
| Views total | 55,750 |
| Reactions total | 65 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 15:16 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.
Lifetime counters from Telegram’s own channel header, read 9 November 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.
Measured directly from 21 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.
202 reactions across 33 posts, in 6 distinct kinds. The most used accounts for 93.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 188 | 93.1% | |
| 🖕 | 4 | 1.98% | |
| 👏 | 3 | 1.49% | |
| 🔥 | 3 | 1.49% | |
| 🤩 | 2 | 0.99% | |
| 🥰 | 2 | 0.99% |
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 37 of the 38 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 202 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 9 August 2026 to 9 November 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.
Telegram’s own ‘edited’ marker: 2 of 15 posts held from the last 30 days (13.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #姜允 🌐坐标: #青山湖 🏷:#嫩妹 #5p #9pp #六九 #鸳鸯浴 #调情 #舔蛋 ☎️:点击获取姜允联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤4
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #陌陌 🌐坐标: #青山湖 🏷:#少妇 #5p #9pp #水中萧 #舌吻 #六九 #制服丝袜 #3p #包夜 #调情 #双飞 ☎️:点击获取陌陌联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤2
#广告 昵称:#南昌03全裸臀推SPA 坐标:东湖区 简介:93全裸臀推🔠🔠🔠 服务⭐️👇👇👇👇👇 ======================== 🐻推 👋推 臀推⚠️丝足! ======================== 🥰全裸臀推✈️预约价4️⃣0️⃣0️⃣ ======================== 多位0️⃣0️⃣后在岗😀😀😀😀😀 ======================== ✈️🔤@qianfan5845🔤 ======================== 🍀双向联系@Ncqianfan_bot ======================== 📱📱: ncad8818(备注电报添加) 📱联系客服:@qianfan5845 🤖双向:@Ncqianfan_bot 👥频道:https://t.me/qianfan11 👥频道:https://t.me/NcDj92Ys1 📱微信: ncad8818 南大认…
❤4🤩1
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #贝贝 🌐坐标: #红谷滩 🏷:#少妇 #4p #7pp #毒龙 #口爆 #鸳鸯浴 #漫游 #水中萧 #胸推 #臀推 ☎️:点击获取贝贝联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤6
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #金智秀 🌐坐标: #新建县 🏷:#御姐 #5p #10pp #舌吻 #六九 #口爆 #深喉 #制服丝袜 #陪浴 ☎️:点击获取金智秀联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤12🤩1
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #果儿 🌐坐标: #青山湖 🏷:#少妇 #4p #7pp #六九 #毒龙 #胸推 #臀推 #舌吻 #鸳鸯浴 #水中萧 #漫游 #艳舞 ☎️:点击获取果儿联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤8
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #涩涩 🌐坐标: #红谷滩 🏷:#少妇 #4p #8pp #浅吻 #调情 #陪浴 #制服丝袜 #吸皮 #指划 #胸推 #阴推 #毒龙 ☎️:点击获取涩涩联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤4
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #可乐 🌐坐标: #红谷滩 🏷:#嫩妹 #5p #10pp #深喉 #亲吻 #制服丝袜 #水中萧 #陪浴 ☎️:点击获取可乐联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
#广告 昵称:#大星南昌98极品嫩妹安排 坐标:全区 简介:南昌全区9️⃣8️⃣外卖上门😀😃😀😃😀😄😃😀😃😀😃 🈺预约上门,教室🏘 外卖上门 🈺业中 👆嫩妹 御姐 萝莉 高质量 全南昌营业 教室频道👉@hsbvh009 14点—2点营业 统一价 800P 1200PP 外卖频道👉@gjj886 统一价1300PP 《包含路》 14点—4点营业 唯一客服👉 @wu88836 双向联系👉 @Paidaxing800bot 频道交流👉 @tsuwdg1314 📱联系客服:@wu88836 🤖双向:@Paidaxing800bot 👥频道:@tsuwdg1314 👥教室频道:@hsbvh009 👥外卖频道:@gjj886 南大认证商家·严选会所 🚀私享体验 🔥热情在线 ✔️环境整洁 🥰 服务放松 ❤️需求可聊 🫶氛围拉满
❤1
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #服务女王 🌐坐标: #红谷滩 🏷:#少妇 #4p #7pp #舌吻 #胸推 #六九 #制服丝袜 #水中萧 #鸳鸯浴 ☎️:点击获取服务女王联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤4
📊 0份报告,综合评分 好评0% |人照 |服务 中评0% |身材 |态度 差评0% |气质 |舒适度 🙋🏻♀️昵称: #安安 🌐坐标: #西湖 🏷:#少妇 #4p #7pp #舌吻 #胸推 #六九 #制服丝袜 #水中萧 #鸳鸯浴 ☎️:点击获取安安联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤2
📊 1份报告,综合评分8.92 好评100% |人照 |服务8 中评0% |身材9 |态度9.5 差评0% |气质9 |舒适度9 🙋🏻♀️昵称: #熙熙 🌐坐标: #红谷滩 🏷:#嫩妹 #5p #10pp #六九 #水中萧 #制服丝袜 #胸推 #陪浴 ☎️:点击获取熙熙联系方式 工兵报告: 报告1 报告2 报告3 👀查看报告 | ✍️撰写报告 🤖双向联系 | 📩添加印象 👨🏻🎓学生印象:
❤5
Showing the 12 most recent of 38 posts we hold for @nxdxjiaowu. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@nxdxjiaowu named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“南昌认证老师榜” (@nxdxjiaowu), 20,879 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/nxdxjiaowu.
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.