✉️4条车评 🥇艺名:棉花糖 📍地区:#虹口 👍好评:100%😊中评:0%👎差评:0% 📷人照:9.25 👗 颜值:9.40 👋服务:9.98 😘态度:10.00 综合评分: 9.67 🍃身材: 165cm 51kg 胸D+ 💰课费: 700/p 1300/pp 🏷️标签: #六九,#胸推,#AB面,#制服,#图二手势视频验证,#五星推荐,#大胸 📌用户名: @xijinbb1128

Channel
上海风子修车行总榜
@fzxczb1
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
62,948subscribers
+20,208 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001815146307 |
|---|---|
| Type | Channel |
| Username | @fzxczb1 |
| Description | 上榜唯一管理: @fengmizhuanshu_bot 聊天群 :https://t.me/+rkur-OsBKTZjZmU0 备用群:https://t.me/fengzixiuche013 榜单: @fzxchbd1 作业频道: https://t.me/fzxchaoping1 外围:https://t.me/niao798 女仆: @SHMMK922 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/fzxczb1 |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 63% 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 |
|---|---|---|
| 25 Sept 2026, 00:37 | 62,948 | +2,225 |
| 18 Sept 2026, 18:02 | 60,723 | +1,128 |
| 16 Sept 2026, 10:21 | 59,595 | +657 |
| 14 Sept 2026, 17:59 | 58,938 | +790 |
| 13 Sept 2026, 04:40 | 58,148 | +482 |
| 11 Sept 2026, 04:57 | 57,666 | +2,067 |
| 8 Sept 2026, 04:22 | 55,599 | +1,417 |
| 4 Sept 2026, 21:58 | 54,182 | +795 |
| 3 Sept 2026, 07:05 | 53,387 | +377 |
| 2 Sept 2026, 02:04 | 53,010 | +430 |
| 1 Sept 2026, 00:48 | 52,580 | +275 |
| 31 Aug 2026, 00:25 | 52,305 | +265 |
| 30 Aug 2026, 01:36 | 52,040 | +331 |
| 29 Aug 2026, 04:44 | 51,709 | +480 |
| 28 Aug 2026, 05:13 | 51,229 | +344 |
| 27 Aug 2026, 04:12 | 50,885 | +471 |
| 26 Aug 2026, 06:54 | 50,414 | +451 |
| 25 Aug 2026, 06:32 | 49,963 | +285 |
| 24 Aug 2026, 09:39 | 49,678 | +844 |
| 22 Aug 2026, 19:04 | 48,834 | first reading |
Engagement
160 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 111 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.565%
- avg views ÷ 62,948 subscribers
- Avg views / post
- 356
- 123 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 123
- of 160 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.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 160 (6 August 2026 – 29 September 2026) |
| Views total | 43,758 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 04:13 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
- 998
- Videos
- 207
- Links
- 202
Lifetime counters from Telegram’s own channel header, read 30 September 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
- 14m 37s
- Average length
- 9s
Measured directly from 101 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.
Recent posts
✉️4条车评 🥇艺名:#彩彩 📍地区:#普陀 👍好评:100%😊中评:0%👎差评:0% 📷人照:9.13 👗 颜值:9.13 👋服务:9.13 😘态度:9.62 综合评分: 9.26 🍃身材: 175cm 52kg 胸B+ 💰课费: 1200/p 2200/pp 5000/夜 🏷️标签: #图二手势视频验证,#鸳鸯浴,#舌吻,#六九,#制服,#丝袜,#外出 📌用户名: @Xiaofei_ya
✉️31条车评 🥇艺名:#点点 📍地区:#浦东张江 👍好评:94%😊中评:6%👎差评:0% 📷人照:8.48 👗 颜值:8.33 👋服务:9.64 😘态度:9.63 综合评分: 9.02 🍃身材: 165cm 50kg 胸B 💰课费: 700/p 1100/pp 2300/夜 🏷️标签: #图二手势视频验证,#服务系,#性价比,#鸳鸯浴,#水中萧,#舌吻,#六九,#毒龙,#口爆,#吸皮,#过水,#漫游,#胸推,#臀推,#制服,#丝袜,#车震,#外出,#四星推荐 📌用户名: @Sh77dd77
✉️0条车评 🥇艺名:#小杜 📍地区:#宝山 👍好评:0%😊中评:0%👎差评:0% 📷人照: 👗 颜值: 👋服务: 😘态度: 综合评分: 0 🍃身材: 160cm 46.5kg 胸C+ 💰课费: 700/p 1400/pp 3800/夜 🏷️标签: #嫩妹,#鸳鸯浴,#舌吻,#六九,#水中萧,#事后萧 📌用户名: @xd_66888
✉️0条车评 🥇艺名:#小甜 📍地区:#普陀 👍好评:0%😊中评:0%👎差评:0% 📷人照: 👗 颜值: 👋服务: 😘态度: 综合评分: 0 🍃身材: 165cm 41.5kg 胸C 💰课费: 1388/p 2388/pp 6888/夜 🏷️标签: #鸳鸯浴,#舌吻,#六九,#胸推,#户外,#车震,#可拍不漏脸视频,#外出,#制服 📌用户名: @ww5887
✉️0条车评 🥇艺名:#小甜 📍地区:#普陀 👍好评:0%😊中评:0%👎差评:0% 📷人照: 👗 颜值: 👋服务: 😘态度: 综合评分: 0 🍃身材: 165cm 41.5kg 胸C 💰课费: 1388/p 2388/pp 6888/夜 🏷️标签: #鸳鸯浴,#舌吻,#六九,#胸推,#户外,#车震,#可拍不漏脸视频,#外出,#制服 📌用户名: @ww5887
上海风子修车行店铺总汇: 西米家9295女仆私影MMK【六家分店】 https://t.me/fzxczb1/18197 胖虎选妃(只做高端) https://t.me/fzxczb1/18405 香奈儿高端外围 https://t.me/fzxczb1/18432 鑫鑫——抓龙筋精选 https://t.me/fzxczb1/18124 秋白高端外围 https://t.me/fzxczb1/18376 碧游宫 https://t.me/fzxczb1/17688 小筑女仆恋爱馆 https://t.me/fzxczb1/17894 百花楼4T https://t.me/fzxczb1/17299 良家素人包养 https://t.me/fzxczb1/18526 杨浦 龍凤宫全裸6T SPA https://t.me/fzxczb1/17425 二次元嫩模馆 https://t.me/fzxczb1/1…
✉️0条车评 店铺:#上海高端娱乐店铺 地区:#徐汇 👍好评:0%😊中评:0%👎差评:0% 📷人照: 👗 颜值: 👋服务: 😘态度: 综合评分: 0 类型:四推 介绍资料:#会所 #养生 #spa #油压 #推油 #九四 #4T 📌地址 :#徐汇区详情咨询客服: #超大停车 客服: @FYY0000001 VIP群:@FYY0000000001 美女频道:@FYY000000001 电话☎️微信:15221216663(微信同号) QQ:366585082 营业时间:#12点到凌晨两点 💰门店价格:#598元。 #国庆活动特价预约全场400元 🔥双飞特价仅需:#600元 [妹子多各种骚货配合度非常高] 🔰上海全果4T养生会所🔰 😀😀😀😀😀😀😀😀😀 正宗莞式服务一条龙好玩又好盘 🥰什么是全果4T🥰 ❤️T里包含:胸推🎈臀推🎈手推🎈足交 🎲#门店姐姐均在18-30之间 🖼#所有位置都是实体门店 🔑选择…
✉️4条车评 🥇艺名:#狗头萝莉 📍地区:#普陀 👍好评:100%😊中评:0%👎差评:0% 📷人照:8.50 👗 颜值:8.88 👋服务:9.25 😘态度:9.32 综合评分: 9.02 🍃身材: 158cm 45kg 胸D 💰课费: 套餐A:1200/p 2300/pp,套餐B:1700/p 2800/pp 5500/夜 🏷️标签: #情趣玩具,#按摩,#制服,#可拍不露脸视频,#萝莉,#大胸 📌用户名: @hhjjjug
🤎短租女友🤎 🤎金丝雀Bao养🤎 良家素人包养🙆🏻♀️ 💰全网最低价,性价比拉满💯 主打一个情绪价值拉满☀️ 各种类型应有尽有,只有你想不到,没有我找不到💝 玩腻出击的狼友,可以试试包养,推荐可靠包养平台-金丝雀 😄安全 😄可靠 😄 稳定 核心价值:服务好每一位客户,为客户的性福生活完美承接。 金丝雀包养-以服务为平台价值的包养平台,从事包养行业期间一直是行业标杆!明星平台! 🤎杜绝老师、保证良家。将用心搭建一个安全、私密的桥梁。 🤎全国选妃。让你体验全国各个地区的风趣女友 💵:主动私聊者均为骗子切勿上当 💕选妃频道:https://t.me/HZDQNY 💕唯一客服: @HZDKB 💕金丝雀交流群:https://t.me/HZDUNY
✉️0条车评 🥇艺名:#欣欣 📍地区:#浦东陆家嘴 👍好评:0%😊中评:0%👎差评:0% 📷人照: 👗 颜值: 👋服务: 😘态度: 综合评分: 0 🍃身材: 172cm 50kg 胸E 💰课费: 600/p 1200/pp 🏷️标签: #白虎,#巨乳,#嫩妹,#服务系,#陪浴,#水中萧,#舌吻,#六九,#口爆,#深喉,#漫游,#过水,#胸推,#臀推,#按摩,#制服,#丝袜 📌用户名: @xinxin1_12
✉️31条车评 🥇艺名:#点点 📍地区:#浦东张江 👍好评:94%😊中评:6%👎差评:0% 📷人照:8.48 👗 颜值:8.33 👋服务:9.64 😘态度:9.63 综合评分: 9.02 🍃身材: 165cm 50kg 胸B 💰课费: 700/p 1100/pp 🏷️标签: #图二手势视频验证,#服务系,#性价比,#鸳鸯浴,#水中萧,#舌吻,#六九,#毒龙,#口爆,#吸皮,#过水,#漫游,#胸推,#臀推,#制服,#丝袜,#车震,#外出,#四星推荐 📌用户名: @Sh77dd77
Showing the 12 most recent of 160 posts we hold for @fzxczb1. 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.
Posts edited after publishing
@fzxczb1 edited 3 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.
- First edit seen
- 20 August 2026
- Most recent edit
- 18 September 2026
Mentions
Named by 3 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.
@fzxchbd1 · 13,7023 posts胖虎选妃,只做高端,包你满意
@niao798 · 8,3203 posts上海鑫鑫——抓龙筋精选
@shanghaixxjx · 2,1313 posts上海七家店私影女仆总相册【9295】
@allgirls521 · 2,1542 posts上海女仆私影【好评报告】
@ggoodfb · 4402 posts魔都推油选店-4T白沙聊天群
@hhk988 · 7,2102 posts虹~双喜4T➕K🎈
@hongshuangxi12345 · 2,1282 posts短租女友(金丝雀包养)
@HZDQNY · 3,9932 posts短租女友(金丝雀包养)
@HZDUNY · 2,7502 posts虹~双喜
@jinqiangyu95 · 8862 posts普陀【碧游宫】👙
@putuochenx22 · 1,6242 posts上海西米家海选女仆私影MMK【9295】
@SHMMK92 · 8,6882 posts上海私影女仆大群👻(嫩妹聚集地)
@SHMMK922 · 2,8832 posts普陀 白沙技师照片总汇
@xkh001 · 5,7542 posts上海魔都海选技师频道
@HWD093 · 5211 post静安中圈
@jazq2025 · 5471 post浦东中圈
@jdgeuav2025 · 9591 post上海浦东海选交流会所
@KKL6680 · 2,3871 post香奈儿上海中圈
@pdxo2025 · 5,5561 post宝山中圈
@shyyds2025 · 4781 post杨浦中圈
@shyydsaa · 471 post嘉定中圈
@shyydsaaa2025 · 1511 post虹口中圈
@shyydsaaa2027 · 311 post闵行中圈
@yuiopsd2025 · 1,2911 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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“上海风子修车行总榜” (@fzxczb1), 62,948 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/fzxczb1.
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.