艺名: 小七 地区: #南海 #金沙洲 一次:700 两次:1300 电报: @Xiaotingmeinv 频道: https://t.me/xiaoqipyquan 双向:@xting688bot 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

Channel
佛山车友会公开榜
@fsuu88
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
31,833subscribers
+6,730 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001027774892 |
|---|---|
| Type | Channel |
| Username | @fsuu88 |
| Created | Between 1 January 2016 and 31 March 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 October 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 20 October 2026 |
| On Telegram | t.me/fsuu88 |
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 60% 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 |
|---|---|---|
| 20 Oct 2026, 20:01 | 31,833 | +121 |
| 19 Oct 2026, 22:09 | 31,712 | +137 |
| 19 Oct 2026, 00:18 | 31,575 | +76 |
| 17 Oct 2026, 22:46 | 31,499 | +110 |
| 16 Oct 2026, 22:45 | 31,389 | +166 |
| 15 Oct 2026, 21:50 | 31,223 | +69 |
| 15 Oct 2026, 01:21 | 31,154 | +151 |
| 13 Oct 2026, 19:49 | 31,003 | +366 |
| 10 Oct 2026, 06:20 | 30,637 | +276 |
| 6 Oct 2026, 00:41 | 30,361 | +590 |
| 30 Sept 2026, 15:56 | 29,771 | +1,237 |
| 18 Sept 2026, 05:17 | 28,534 | +291 |
| 15 Sept 2026, 21:59 | 28,243 | +89 |
| 14 Sept 2026, 07:40 | 28,154 | +68 |
| 12 Sept 2026, 14:38 | 28,086 | +84 |
| 10 Sept 2026, 13:00 | 28,002 | +274 |
| 7 Sept 2026, 09:18 | 27,728 | +145 |
| 4 Sept 2026, 14:58 | 27,583 | +78 |
| 3 Sept 2026, 01:35 | 27,505 | +28 |
| 1 Sept 2026, 20:56 | 27,477 | first reading |
Engagement
355 posts held, back to 6 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 117 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.61%
- avg views ÷ 31,833 subscribers
- Avg views / post
- 514
- 157 posts measured
- Reaction rate
- 0.197%
- reactions ÷ views · ER floor
- Posts in window
- 163
- of 355 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 47 of 157 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 October 2026 |
|---|---|
| Posts held | 355 (6 August 2026 – 20 October 2026) |
| Views total | 80,682 |
| Reactions total | 46 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Oct 2026, 15:07 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
- 17m 22s
- Average length
- 7s
Measured directly from 153 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
109 reactions across 91 posts, in 4 distinct kinds. The most used accounts for 92.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 101 | 92.7% | |
| 👍 | 5 | 4.59% | |
| 🤗 | 2 | 1.83% | |
| 😁 | 1 | 0.917% |
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 117 of the 355 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 109 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 355 most recent posts we hold, published 6 August 2026 to 20 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
🎰 【车友会】禅城·紫沫🦋抽奖活动🎁 📮 抽奖条件: 🎫 加入-佛山车友会 🎫 加入-佛山车友会公开榜 🎫 加入-车友会抽奖频道 🎫 加入-紫沫的小窝🏠 🎟️ 要求活动期间群内发言数 5 🍀 每5分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: P半价优惠卷 × 1 💡 活动说明: 👉中奖联系: @msuxne11 👉炸号无效,兑奖限开奖后5天内 👉中奖机制: 车友会群内发“喜+5”可以加成 👉中奖半价卷者请立即截图联系老师预约时间,出击后需提交报告!未提交作拉黑处理! 更多抽奖信息👉 https://t.me/CYHCJPD 🔥狼友避雷交流群(🈲老师、🈲广告)👉 https://t.me/+iwnlfkXaKfNkYTA8 📅 开奖日期:(UTC+8) 2026年10月24日 17时34分31秒
艺名: 紫沫 地区: #禅城 一次:600 两次:1200 电报: @msuxne11 频道: https://t.me/tQ123445612 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!
艺名: 思思 地区: #顺德 一次:700 二次:1400 电报: @DylanMorse13021997 频道: https://t.me/sisi5842 报告榜👉 :@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!
艺名: 子琪 地区: #禅城 一次:600 两次:1200 电报: @ZuriluxoOn6I 频道: https://t.me/ziqi3467 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得现金积分以及白嫖积分参加抽奖活动!
艺名: 胖嘟嘟 地区: #禅城 一次:500 两次:1000 电报: @shih369 频道: @cai528889 双向:@bbwgsb520bot 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得现金积分以及白嫖积分参加抽奖活动!
❤2
艺名: 沅沅 地区: #禅城 一次:600 两次:1200 电报: @yuan666777 频道: https://t.me/yuan67887 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!
💐💐💐开奖了💐💐💐 【车友会】广州·小凤🦋抽奖活动🎁 开奖了! 本期总参与人数: 58 1- 可乐鸡翅(岸上) (消息数 418)(翻倍51.0) 获得:P龙筋半价优惠卷 2- Annie Boyle (消息数 540)(翻倍72.0) 获得:爱心❤️西瓜¥:9.9🧧 3- 表里杀缭乱 (消息数 419)(翻倍51.0) 获得:全场100通用优惠卷 4- 欧洲仔 (v8发动机版) (消息数 159)(翻倍21.0) 获得:全场100通用优惠卷 5- Blgpyh Blgpyh (消息数 396)(翻倍80.0) 获得:全场100通用优惠卷 6- 心思思(人渣、北帝、六花、v12祝福版) (消息数 13)(翻倍1) 获得:全场100通用优惠卷 7- 运来就中(幸运中奖版) Whrd (消息数 37)(翻倍51.0) 获得:全场100通用优惠卷 8- 大良Bob(荷包) (消息数 472)(翻倍8.0) 获得:全场100通用优惠…
艺名: 怡宝 地区: #南海 一次: 600 两次:1100 电报: @yb22331 频道: https://t.me/yb520cc 双向:@acc520520_bot 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!
❤1
艺艺名: 奈奈 地区: #禅城 一次: 800 两次:1500 电报: @nianaiccc 频道: https://t.me/nainaixx123 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!
艺名: 小温 地区: #禅城 一次:700 两次:1400 电报: @xiaowen8813 频道: https://t.me/xiaowen_wen7788 双向:@xiaowen3927bot 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得现金积分以及白嫖积分参加抽奖活动!
艺名: 小贝 (大🐻BBW) 地区: #禅城 一次:500 两次:800 电报: @BBW200771 频道: https://t.me/BBW200772 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!
Showing the 12 most recent of 355 posts we hold for @fsuu88. 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 17 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.
@CYHCJPD · 3,6048 posts昭昭(瑜伽老师)南海个人(老号被盗)
@beili9990 · 2,1161 post🍬糖果屋
@Candybaby8888 · 1,2181 post惠子秘密花园
@huizi666888 · 9941 post静静的小🏠
@jingbao889988 · 2011 post筱萍🉐️爱窝❤️
@kekeai666 · 1831 post米琪私人频道
@Miqi78846 · 2681 post奈菲学妹的花园
@naif0867 · 1,4291 post小甜妹禅城个人服务型
@PtXniabwBdBmNDE1 · 121 post芮宝的小🏠
@ruibaobao888888 · 271 post三三👙后花园🌹🌹
@sansan553322 · 3441 post小怡的花园
@xiaoyi0071 · 3351 post夏
@xiazhi696 · 381 post妍妍花园🌷
@Yanyan33665 · 3,0151 post颖颖的家园
@yingyingdjiayuan · 4801 post亦苒的秘密花园
@yiran006 · 4551 post子瑜(日常分享)
@ziyurcfx66 · 2721 post
Names
Channels on the register whose handles appear in this channel's posts.
@fsuu8 · 61,013294 posts佛山避雷交流(老师禁入)
@foshancj · 8,165249 posts佛山车友会出击报告
@FSCJBG · 7,810249 posts车友会抽奖频道
@CYHCJPD · 3,60445 posts174模特奈奈,本人自聊
@nainaixx123 · 4,2857 posts沈月的频道
@ssxa16 · 1,0276 posts禅城:婉柔💞
@svavg245 · 1,1915 posts小花花的朋友圈
@xiao_hua_hua_qun · 7,7345 posts陈香💄私密世界
@chenx82199 · 6794 posts冷白皮禅城沐沐想靠近
@chunchun236 · 2,2414 posts丽儿频道
@lier200 · 1,1474 posts糖糖的私密空间
@lucky_xb · 2,0114 posts热巴㊙️小世界
@reba5209 · 2,0734 posts妍妍的后花园
@yanyan148 · 2,4774 posts🍒雅欣🍒的秘密花园
@yaxinga11 · 4,2694 posts豆子朋友圈
@FzcYVLkgG9wyMjNl · 2313 posts禅城:(🌷六六的后花园🌷)
@hbsg520 · 3,0323 posts全国莞式全套会所
@huane10 · 43 posts佛山禅城淼淼私人频道
@miamiao188 · 1,0803 posts茉莉💐小屋
@molidexiaiwu · 1,2923 posts奈菲学妹的花园
@naif0867 · 1,4293 posts小歪呦🍭温馨小屋💒
@xiaowaiyou · 1,1003 posts沐雪的守护天使
@XueJianBaby159 · 1,9543 posts艳姐技师房
@yanziqingdao · 1,5833 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.
Handles this channel named that no longer answer
- Dead references
- 4
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 3
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@fsuu88 named 4 handles 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.
Evidenced gone
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.
named in 2 posts, 10 August 2026 – 5 October 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 2 posts, 8 August 2026 – 8 August 2026 · confirmed gone 18 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 19 August 2026 – 19 August 2026 · confirmed gone 8 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 19 August 2026 – 19 August 2026
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 20 October 2026 — this entry's latest reading, not the date you are reading this.
“佛山车友会公开榜” (@fsuu88), 31,833 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/fsuu88.
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.