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Channel

南京大学联盟报告厅(修车、出击)

@njeduvip

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

9,275subscribers

+212 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003132547787
TypeChannel
Username@njeduvip
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/njeduvip

Growth

9,0619,2759,1688 August 2026 — 9,063 subscribers8 August 2026 — 9,061 subscribers11 August 2026 — 9,091 subscribers14 August 2026 — 9,275 subscribers8 August 202614 August 2026
4 measurements spanning 6 days, net +212. 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 9,029–9,307 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 08:259,275+184
11 Aug 2026, 07:439,091+30
8 Aug 2026, 15:419,061-2
8 Aug 2026, 11:019,063first reading

Engagement

24 posts held, back to 6 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 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.42%
avg views ÷ 9,275 subscribers
Avg views / post
224
24 posts measured
Reaction rate
0.486%
reactions ÷ views · ER floor
Posts in window
24
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 12 of 24 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 12 August 2026
Posts held24 (6 August 202612 August 2026)
Views total5,382
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:36 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

Video runtime
16s
Average length
5s

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.

Reaction mix

13 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 92.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1292.3%
😭17.69%

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 12 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 13reactions 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 6 August 2026 to 12 August 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

12 Aug 2026, 05:43 UTC131 views1 reactionsread 12 August 2026

【妹妹花名】:舒心 @suxilsd 【报告署名】:匿 【验证时间】:8月 10 日 【验证地点】:鼓楼 【服务类别】:98 【修车水费】:500p(工兵 300) 【妹妹类型】:丰满少妇 【颜值身材】 {年龄}: 26 {颜值}:照片有点美颜差异不大 {皮肤}:冷白皮 {罩杯}:D {身高}:160 {体重}:55左右 {赘肉}: 肚子上有一点 {颜值综合打分}:7.8 {身材综合打分}:8.5 【服务质量】: {服务内容}:调情 口 按摩,胸推等 {服务水平}:服务不错,之前门店的 {服务态度}:不错 【进阶服务】:有的打 1️⃣舌吻 2️⃣69 3️⃣情绪价值 √ 4️⃣陪浴 √ 5️⃣莞式(全套)服务 7️⃣毒龙浴 {服务综合打分}:8.3 【纹身疤痕】:无纹身,无明显疤痕 【是否吸烟】:是 【课室卫生】:老小区 【周边环境】:安全 【综合打分】:8.2 【综合评述】: 约好时间,鼓楼老小区很好找就是有点远。一身情趣

1

12 Aug 2026, 03:22 UTC148 views1 reactionsread 12 August 2026

【妹妹花名】:小蜜 【验证时间】:8.11 【验证地点】:浦口区工业大学附近 【服务类别】:98 【修车水费】:工兵400p 【妹妹类型】:嫩妹服务女友型 【颜值身材】: {年龄}:21-22 {颜值}:人照八分 {皮肤}:黄皮 {罩杯}:B左右 {身高}:162左右 {体重}:90左右 {赘肉}:没有 {颜值综合打分}:7.5 {身材综合打分}:8.5 【服务质量】: {服务内容}:顶级的服务,按摩,口、舌吻、69、做爱 {服务水平}:非常好,很耐心,情商很高 {服务态度}:情绪价值拉满 【进阶服务】:第一次尝试事后潇 {服务综合打分}:9.5 【纹身疤痕】:无纹身,无疤痕 【是否吸烟】:无 【课室卫生】:有一次性浴巾,无一次性床单 【周边环境】:浦口区高风险公寓 【综合打分】:8.5 【综合评述】: {优势}:服务非常好,情绪价值拉满,嫩,身材好 {不足}:颜值一般,高风险公寓 【过程概述】:抢到老师工兵,约好时间,老师课要

😭1

11 Aug 2026, 15:53 UTC193 views1 reactionsread 12 August 2026

【妹妹花名】:小蜜 @Xiaomi_mi01 【报告署名】:丨亻 【验证时间】:8月 【验证地点】:江北虹悦城 【服务类别】:98 【修车水费】:700p工兵400p 【妹妹类型】:日式萝莉女友 【颜值身材】: {年龄}:24 {颜值}:人照9.5分 {皮肤}:黄皮偏白,皮肤光滑无纹身 {罩杯}:B {身高}:163 {体重}:90 {赘肉}:无 {颜值综合打分}:9.5 {身材综合打分}:8.5 【服务质量】: {服务内容}:陪浴、鸳鸯戏水、指滑、漫游、过水、胸推、臀推舔蛋、毒龙、吹箫、调情、蛇吻、69、激情爱爱、各种姿势,课表上的都有,这个真的要强调一下 是课表上写的都有! {服务水平}:顶级日式服务 {服务态度}:夯到爆 {服务综合打分}:10 【纹身疤痕】:无纹身 【课室卫生】:公寓无门禁,要是有一次性床单就好了 【综合打分】:9.9 【综合评述】: {优势}:颜值高 服务好 比女朋友还温柔 {不足}: 无,这个真

1

11 Aug 2026, 11:01 UTC210 views1 reactionsread 12 August 2026

🪖 工兵招募 #江宁 #98 #琬秋 @oa33388 📌 基本信息 - 💰 金额:700p-400 - 🧑‍🎓 名额 2名 - 📊 积分要求:工兵体验卷一张截图 (99积分商城兑换)或99积分 - ⏰ 期限:24 小时,最迟8月13日晚 完成并提交报告(要求一张以上配图,证明出击,有两个人的特征的) 📩 报名方式 1. 联系 @njeduvipbot,发送统一报名格式文档 2. 同步发送 @njxc2008 近10分钟内积分截图和积分流水截图 ✅ 前置要求 - 已加入 @njxc2008 南京大学群聊 - 已关注 @njxclist 老师榜单、@njeduvip 报告大厅 - 积分截图:群内 @njxc2008 发送「积分」,截取阿福截图 🔍 群内查询(@njxc2008) - 积分规则:发送「积分规则」打卡 18分、发言1分一条 - 工兵规则:发送「工兵规则」 - 更多功能:发送「导航」 📝 统一报名

1

11 Aug 2026, 02:51 UTC232 views1 reactionsread 12 August 2026

【妹妹花名】:#小蜜 @Xiaomi_mi01 【报告署名】:少日春怀似酒浓 【验证时间】:2026.8.10 【验证地点】:浦口区工业大学附近 【服务类别】:98(大项),莞式全套 【修车水费】:700p 【妹妹类型】:有莞式服务的颜值系嫩妹/女友型.情绪价值高 【颜值身材】: {年龄}:23左右 {颜值}:与照片视频8分相似 {皮肤}:正常黄白皮,皮肤状态无问题,无可疑皮肤病,无纹身 {罩杯}:b−左右吧,小小的也很可爱 {身高}:165cm左右 {体重}:44kg左右 {赘肉}:无赘肉 {颜值综合打分}:9.2分 {身材综合打分}:8.8分 【服务质量】:满分好评 {服务内容}:莞式全套,并且还有水中萧.事后萧 {服务水平}:会所老师级 {服务态度}:服务细致耐心,无敷衍机车行为 {服务综合打分}:10分 【纹身疤痕】:无纹身和疤痕 【是否吸烟】:课室内无烟味 【课室卫生】:一次性用品齐全,室内、床褥整洁。 【周边

1

11 Aug 2026, 02:43 UTC187 views1 reactionsread 12 August 2026

【妹妹花名】:#小蜜 @Xiaomi_mi01 【报告署名】:少日春怀似酒浓 【验证时间】:2026.8.10 【验证地点】:浦口区工业大学附近 【服务类别】:98(大项),莞式全套 【修车水费】:700p 【妹妹类型】:有莞式服务的颜值系嫩妹/女友型.情绪价值高 【颜值身材】: {年龄}:23左右 {颜值}:与照片视频8分相似 {皮肤}:正常黄白皮,皮肤状态无问题,无可疑皮肤病,无纹身 {罩杯}:b−左右吧,小小的也很可爱 {身高}:165cm左右 {体重}:44kg左右 {赘肉}:无赘肉 {颜值综合打分}:9.2分 {身材综合打分}:8.8分 【服务质量】:满分好评 {服务内容}:莞式全套,并且还有水中萧.事后萧 {服务水平}:会所老师级 {服务态度}:服务细致耐心,无敷衍机车行为 {服务综合打分}:10分 【纹身疤痕】:无纹身和疤痕 【是否吸烟】:课室内无烟味 【课室卫生】:一次性用品齐全,室内、床褥整洁。 【周边

1

11 Aug 2026, 02:43 UTC163 views1 reactionsread 12 August 2026

【妹妹花名】:#小蜜 @Xiaomi_mi01 【报告署名】:少日春怀似酒浓 【验证时间】:2026.8.10 【验证地点】:浦口区工业大学附近 【服务类别】:98(大项),莞式全套 【修车水费】:700p 【妹妹类型】:有莞式服务的颜值系嫩妹/女友型.情绪价值高 【颜值身材】: {年龄}:23左右 {颜值}:与照片视频8分相似 {皮肤}:正常黄白皮,皮肤状态无问题,无可疑皮肤病,无纹身 {罩杯}:b−左右吧,小小的也很可爱 {身高}:165cm左右 {体重}:44kg左右 {赘肉}:无赘肉 {颜值综合打分}:9.2分 {身材综合打分}:8.8分 【服务质量】:满分好评 {服务内容}:莞式全套,并且还有水中萧.事后萧 {服务水平}:会所老师级 {服务态度}:服务细致耐心,无敷衍机车行为 {服务综合打分}:10分 【纹身疤痕】:无纹身和疤痕 【是否吸烟】:课室内无烟味 【课室卫生】:一次性用品齐全,室内、床褥整洁。 【周边

1

10 Aug 2026, 15:20 UTC203 viewsread 12 August 2026
Photo

🏮 城阙:#浦口・ #98 ✍️ 别号:揽月 ✉️ 通联:联系方式 💸 估值:#600P ⚒️ 技擅: 📜 墨宝真言: 少妇,95出身,98服务 🗺️ 行迹所至: 出处:https://t.me/NJXC2008

10 Aug 2026, 14:48 UTC193 viewsread 12 August 2026

【妹妹花名】:揽月 @yygg6685 【报告署名】:匿名 【验证时间】:8.10 【验证地点】:浦口 【服务类别】:98 【修车水费】:600P(工兵优惠) 【妹妹类型】:少妇 【颜值身材】: {年龄}:30➕ {颜值}:人照7成 {皮肤}:黄白皮 {罩杯}:C {身高}:165左右 {体重}:110斤左右 {赘肉}:肚子 {颜值综合打分}:7 {身材综合打分}:7 【服务质量】: {服务内容}:和课表一致 {服务水平}:会所级 {服务态度}:无机车行为 {服务综合打分}:8 【课室环境】:小区,无门禁 【过程概述】:抢到浦口工兵,内心还是非常忐忑的,下午就约好了晚上的时间,发生了一点排课紧凑的小插曲,不过后面还是按时让我去了,无伤大雅。根据老师指示前往科室,可以走地下停车场通道,无门禁。抵达科室老师开门后引导洗澡,老师会帮忙洗,还让做了个水中萧,口的功夫了得,一看老师就是会所出来的,洗完澡老师帮忙擦干去床上,按照课表有

10 Aug 2026, 04:59 UTC211 viewsread 12 August 2026

🪖 工兵招募 #浦口 #98 #揽月 @yygg6685 📌 基本信息 - 💰 金额:600p-300p(特殊价格私聊机器人限今天出击今天出报告) - 🧑‍🎓 名额 2名 - 📊 积分要求:工兵体验卷一张截图 (99积分商城兑换)或99积分 - ⏰ 期限:24 小时,最迟8月13日晚 完成并提交报告(要求一张以上配图,证明出击,有两个人的特征的) 📩 报名方式 1. 联系 @njeduvipbot,发送统一报名格式文档 2. 同步发送 @njxc2008 近10分钟内积分截图和积分流水截图 ✅ 前置要求 - 已加入 @njxc2008 南京大学群聊 - 已关注 @njxclist 老师榜单、@njeduvip 报告大厅 - 积分截图:群内 @njxc2008 发送「积分」,截取阿福截图 🔍 群内查询(@njxc2008) - 积分规则:发送「积分规则」打卡 18分、发言1分一条 - 工兵规则:发送「工兵规则」

10 Aug 2026, 04:30 UTC183 viewsread 12 August 2026

@suxilsd 🪖 工兵招募 🪖 工兵招募 #鼓楼 #98 #舒心 @suxilsd 📌 基本信息 - 💰 金额:500p-300p - 🧑‍🎓 名额 4名 - 📊 积分要求:工兵体验卷一张截图 (99积分商城兑换)或99积分 - ⏰ 期限:24 小时,最迟8月13日晚 完成并提交报告(要求一张以上配图,证明出击,有两个人的特征的) 📩 报名方式 1. 联系 @njeduvipbot,发送统一报名格式文档 2. 同步发送 @njxc2008 近10分钟内积分截图和积分流水截图 ✅ 前置要求 - 已加入 @njxc2008 南京大学群聊 - 已关注 @njxclist 老师榜单、@njeduvip 报告大厅 - 积分截图:群内 @njxc2008 发送「积分」,截取阿福截图 🔍 群内查询(@njxc2008) - 积分规则:发送「积分规则」打卡 18分、发言1分一条 - 工兵规则:发送「工兵规则」 - 更多功

10 Aug 2026, 02:37 UTC211 viewsread 12 August 2026

🪖 工兵招募 #浦口 #98 #小密 @Xiaomi_mi01 📌 基本信息 - 💰 金额:700p-400p - 🧑‍🎓 名额 4名 - 📊 积分要求:工兵体验卷一张截图 (99积分商城兑换)或99积分 - ⏰ 期限:24 小时,最迟8月13日晚 完成并提交报告(要求一张以上配图,证明出击,有两个人的特征的) 📩 报名方式 1. 联系 @njeduvipbot,发送统一报名格式文档 2. 同步发送 @njxc2008 近10分钟内积分截图和积分流水截图 ✅ 前置要求 - 已加入 @njxc2008 南京大学群聊 - 已关注 @njxclist 老师榜单、@njeduvip 报告大厅 - 积分截图:群内 @njxc2008 发送「积分」,截取阿福截图 🔍 群内查询(@njxc2008) - 积分规则:发送「积分规则」打卡 18分、发言1分一条 - 工兵规则:发送「工兵规则」 - 更多功能:发送「导航」 📝

Showing the 12 most recent of 24 posts we hold for @njeduvip. 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.

Citation-graph rank

Citation-graph rank — 272,347 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 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.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“南京大学联盟报告厅(修车、出击)” (@njeduvip), 9,275 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/njeduvip.

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.