🎗序列:#HL829 👩🏻🏫昵称:#樱桃 🌐坐标:#江宁区 📊飞言飞语:可爱嫩妹 ☎️ 更多详情 点击获取樱桃联系方式 🧑🎓学生印象:
❤2

Channel
@njxcjsxy004
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
44,413subscribers
+505 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002425832803 |
|---|---|
| Type | Channel |
| Username | @njxcjsxy004 |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/njxcjsxy004 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 17:18 | 44,413 | +68 |
| 16 Aug 2026, 08:57 | 44,345 | +129 |
| 14 Aug 2026, 17:24 | 44,216 | +39 |
| 13 Aug 2026, 07:34 | 44,177 | +43 |
| 12 Aug 2026, 07:22 | 44,134 | +12 |
| 11 Aug 2026, 10:14 | 44,122 | +45 |
| 10 Aug 2026, 11:07 | 44,077 | +47 |
| 9 Aug 2026, 13:11 | 44,030 | +54 |
| 8 Aug 2026, 14:26 | 43,976 | +68 |
| 7 Aug 2026, 15:45 | 43,908 | first reading |
40 posts held, back to 30 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 25 pagesof 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. It is computed over the 38 of 39 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 40 (30 July 2026 – 17 August 2026) |
| Views total | 357,189 |
| Reactions total | 205 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 23:57 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 17 August 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.
Measured directly from 4 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.
205 reactions across 37 posts, in 5 distinct kinds. The most used accounts for 94.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 193 | 94.1% | |
| 🤔 | 6 | 2.93% | |
| 🤯 | 4 | 1.95% | |
| 👍 | 1 | 0.488% | |
| 👏 | 1 | 0.488% |
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 38 of the 40 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 205reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 30 July 2026 to 17 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.
🎗序列:#HL829 👩🏻🏫昵称:#樱桃 🌐坐标:#江宁区 📊飞言飞语:可爱嫩妹 ☎️ 更多详情 点击获取樱桃联系方式 🧑🎓学生印象:
❤2
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❤3
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❤3
🎗序列:#HL152 👩🏻🏫昵称:#派小欣 🌐坐标:#栖霞区 🏷标签:#大长腿 #嫩妹 #可69 #舌吻 📊飞言飞语:嫩妹回归,派大星力荐口粮茶! ☎️ 更多详情 点击获取派小欣联系方式 🧑🎓学生印象: 📊 17条车评,综合评分8.67 好评 88.2% |人照 8.62 |服务 8.52 中评 5.9% |颜值 8.62 |态度 8.77 差评 5.9% |身材 8.92 |环境 8.56 权威报告: 工兵报告 搜老师昵称 👀查看车评 |🖋撰写车评| 🐺添加印象
❤4🤯4
佩罗娜和小井,谁才是新时代的 📪抽奖说明: 小井,航路版妮可罗宾,隶属手推工作室,机缘巧合来到飞机上了海贼船,坚持15P价格不动摇,经历过低谷惨遭雪藏,然最终坚持迎来属于自己的“路飞”大哥,口碑与热度一骑绝尘! 佩罗娜,航路版佩罗娜,隶属月光门槛家族,机缘巧合来到飞机上了海贼船,初代航路话题女王,上岸后认知守不住财富,惨遭再次下海,求求你路飞,把我也带去下海吧! 小井和佩罗娜实在太像了,首先年龄都是25,一个御姐风一个萝莉风,都精通户外,车震,小视频放得开和情绪价值提供,都擅长口技,且价格都是15P,一个是新时代靠坚持积累的口碑,一个是旧时代靠强推上宝座的王妃,谁才是你心目中的15P之王? 抽奖说明: 双飞车震优惠卷,每个人给单P半价即可,为了安全考虑不在课室完成,若先前约过佩罗娜后来也约过小井且留有记录,则结束后找 @njxcjsxy 领取1500京东E卡,若没车且不爱车震,则去任意老师直接半价! 🎫 参与条件: 🎫 加入…
❤9🤔1
🎗序列:#HL959 👩🏻🏫昵称:#揽月 🌐坐标:#浦口区 🏷标签:#少妇 #全套服务 #中项 📊飞言飞语:服务系少妇,可95可98 ☎️ 更多详情 点击获取揽月联系方式 🧑🎓学生印象: 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 权威报告: 工兵报告 搜老师昵称 👀查看车评 |🖋撰写车评| 🐺添加印象
❤2
南京修车技术学院-伟大航路认证榜 pinned a photo
🎗序列:#HL958 👩🏻🏫昵称:#杨桃 🌐坐标:#江宁区 🏷标签:#御姐 #简单服务 📊飞言飞语:好身材御姐 ☎️ 更多详情 点击获取杨桃联系方式 🧑🎓学生印象: 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 权威报告: 工兵报告 搜老师昵称 👀查看车评 |🖋撰写车评| 🐺添加印象
❤4
🎗序列:#HL957 👩🏻🏫昵称:#小奴奴 🌐坐标:#秦淮区 🏷标签:#御姐 #简单服务 📊飞言飞语:长腿嫩妹 ☎️ 更多详情 点击获取小奴奴联系方式 🧑🎓学生印象: 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 权威报告: 工兵报告 搜老师昵称 👀查看车评 |🖋撰写车评| 🐺添加印象
❤3
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❤3👍1
🎗序列:#HL190 👩🏻🏫昵称:#佩罗娜 🌐坐标:#江宁区 🏷标签:#娇小 #萝莉 #推荐 #樱花妹 #水多 #长发 #颜值系 #身材好 #嫩妹 #白虎 #不抽烟 #可69 #舔胸 #花式吹箫 #限时不限次 #可外出 #野战 #舌吻 #制服诱惑 #水中箫 #鸳鸯浴 #车震 #深喉 #上门 #调情 #全套服务 #冰火两重天 #按摩 #无套口 #毒龙 📊飞言飞语: 飞子的最爱,双马尾嫩妹 ☎️ 更多详情 点击获取佩罗娜联系方式 🧑🎓学生印象: 📊 4条车评,综合评分9.54 好评 100% |人照 9.75 |服务 10 中评 0% |颜值 8.75 |态度 10 差评 0% |身材 9.25 |环境 9.5 权威报告: 工兵报告 搜老师昵称 👀查看车评 |🖋撰写车评| 🐺添加印象
❤7
Showing the 12 most recent of 40 posts we hold for @njxcjsxy004. 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.
@njxcjsxy004 edited 12 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 464,062 of 1,548,671entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“南京修车技术学院-伟大航路认证榜” (@njxcjsxy004), 44,413 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/njxcjsxy004.
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.