http://t.me/+v0Xp-oqI0XEyYTE1

Channel
南昌修车大队公开榜
@nanchangGA
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,933subscribers
+0 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001866975413 |
|---|---|
| Type | Channel |
| Username | @nanchangGA |
| Description | 广告投放联系 @Nctvbot |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/nanchangGA |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 19:15 | 10,933 | no change |
| 14 Aug 2026, 19:09 | 10,933 | first reading |
Engagement
18 posts held, back to 31 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 29.5%
- avg views ÷ 10,933 subscribers
- Avg views / post
- 3,220
- 4 posts measured
- Reaction rate
- 0.018%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 18 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 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 18 (31 May 2025 – 14 August 2026) |
| Views total | 12,881 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 07:20 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
- 6
- Videos
- 2
- Links
- 7
Lifetime counters from Telegram’s own channel header, read 15 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.
- Video runtime
- 1m 52s
- Average length
- 56s
Measured directly from 2 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
319 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 96.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 308 | 96.6% | |
| 👍 | 4 | 1.25% | |
| 👏 | 2 | 0.627% | |
| 🔥 | 2 | 0.627% | |
| 🎃 | 1 | 0.313% | |
| 👎 | 1 | 0.313% | |
| 🥰 | 1 | 0.313% |
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 15 of the 18 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 319reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 31 May 2025 to 14 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
五桂山内凝沉香 香洲梦中舞花魁 湾区光谷散胭脂 唯留红楼聚风华 红楼立 骚客帖 https://t.me/ZS_HongLou
Posted without readable text
华北地区/东北地区 天津 太原 石家庄 哈尔滨 华中地区: 郑州 南阳 新乡 武汉 武汉2 襄阳 宜昌 长沙 衡阳 常德 华东地区: 济南 临沂 枣庄泰安济宁 聊城 南京 苏州 淮安 南通 盐城 宿迁 扬州泰州镇江 徐州 连云港 无锡 常州 合肥 皖南 阜阳亳州 宿州淮北 蚌埠淮南 上海 杭州 宁波 湖州 嘉兴 绍兴 南昌 赣州 景德镇 福建 华南地区 广州 佛山 东莞 珠海 惠州 江门 中山 南宁 柳州 海口 三亚 琼海 儋州 西南地区/西北地区 西安 兰州 成都 贵阳 遵义 昆明
❤1
https://t.me/+aBOPqmS82S5hYWNl
❤1👍1
Posted without readable text
❤47👍3🔥2🎃1🥰1
#南昌 #站街 #扫街 飞燕路靠近青山湖南大道后面的房子里,以前是站街的,会站在小巷子里看着你。前天去的时候发现没有站街的的了,但转了转发现有几个男的站在某一三层院子的门前等候,故上前攀谈,得知此处便是。不知道是最近抓的严还是生意好,反正妹子就不出铁门,而是客人出来一个进去一个,进去后妹子会锁住铁门。一共三个妹子,都非常年轻
❤27
#南昌 #扫街 #站街 #快餐 #青山湖区 口做150-200 星光村农民公寓,龙湖天街,搜索画王图文,旁边有小区侧门,可以钻进去,晚上在公寓楼道楼梯口站着,有时候没人,容易走空。进去左手边那间房,有3-4个,25-30左右。过去半月,不知现在是否还在。风大,谨慎出击。
❤12
#南昌 #扫街 #站街 半边街,从师大南路进来。靠近师大南路这边是没有的,至少我去的时候没看到。 沿着半边街一直往西走,快走到头的时候大概在修电动车的斜对面看到一个姑娘粘在路边,挺瘦、长头、短裤、拖鞋,对了个眼神这个肯定是,年龄25左右。 继续往前走,到头往南走有两个站在店门口的,我不确定是店门口还是很窄的小巷子没仔细观察地形。一个40左右的lcp略坦没什么穿搭。另一个就比较猛了绝对50+,一眼看过去有典型的那种南方人年龄大了干瘦且黑还有皱纹的特征,说明一下哈不是对南方人的长相有偏见,只是为了描述。 继续向南走,一直到雷胖子烧菜馆那个路口向东走,和烧菜馆一排有个没有招牌的小屋,里面灯光昏暗,两个少妇坐在沙发上看手机,年龄30左右。 半边街这边基本就这个情况,不清楚是不是因为下雨了没出来的原因。有兴趣的ly可以自己过去扫一下。
❤21
南昌城中村的小巷子好窄但人来人往好不热闹
❤3
#南昌 #站街 #扫街 #快餐 新魏路靠近老师大附近,每天晚上7点以后会有7,8个,自己主动搭讪,进去谈价格,熟客可以谈价
❤10
#南昌 #扫街 #站街 #快餐 地图搜 半边街 顺外半边街。 小狼有个癖好就是扫街,只扫不出击,汇报个结果也算是给喜欢扫街的ly们分享点资源了。 从南昌北下了高速直奔目的地,只能说有,能不能出击就看各位ly自己了。半边街,从师大南路进来。靠近师大南路这边是没有的,至少我去的时候没看到。 沿着半边街一直往西走,快走到头的时候大概在修电动车的斜对面看到一个姑娘粘在路边,挺瘦、长头、短裤、拖鞋,对了个眼神这个肯定是,年龄25左右。 继续往前走,到头往南走有两个站在店门口的,我不确定是店门口还是很窄的小巷子没仔细观察地形。一个40左右的lcp略坦没什么穿搭。另一个就比较猛了绝对50+,一眼看过去有典型的那种南方人年龄大了干瘦且黑还有皱纹的特征,说明一下哈不是对南方人的长相有偏见,只是为了描述。 继续向南走,一直到雷胖子烧菜馆那个路口向东走,和烧菜馆一排有个没有招牌的小屋,里面灯光昏暗,两个少妇坐在沙发上看手机,年龄30左右。 …
❤16
Showing the 12 most recent of 18 posts we hold for @nanchangGA. 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
Names
Channels on the register whose handles appear in this channel's posts.
@NanChangRs · 35,2202 postsL.S.®贵阳(导航中心)
@GuiYangNet · 24,8941 post广州修车交流群
@Gzxcq88 · 30,6861 post海南海口国际免税城 🛍
@haikoushi · 29,8551 post惠州修车大队
@hzxzdd · 37,0371 post昆明电报群
@KMDBQ · 44,0991 post宁波老司机之家
@NinBoa · 39,2911 post南京修车交流总群(唯一)
@NJXCddzq · 59,4241 post南通濠河风景区🏞
@ntsis · 54,3351 post上海修车指南总群
@shanghaisinan · 83,3141 postSpam Info Bot
@SpamBot · 32,533,6521 post郑州⛄学生会
@suzhouO_o · 25,8751 postTelegram 中文频道 ❄️
@TgChinaz · 38,5991 post天津不做龟男
@tianjingirl · 40,2951 post武汉修车研习社
@whkdyyy · 59,7781 post武汉老司机 (中转)
@wuhanshare · 29,1911 post无锡老司机【修车指南】
@WUXILIANGXIQU · 4,1751 post阜阳🚢亳州【伟大航路交流群】
@yulinwuzhou77 · 29,1461 post珠海修车大本营
@zh_xc_dby · 46,1781 post遵义大群中转
@zunyihub · 4,3741 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“南昌修车大队公开榜” (@nanchangGA), 10,933 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/nanchangGA.
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.