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Channel
上海风子修车行榜单(中转)
@fzxchbd1
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
13,104subscribers
+935 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002615622847 |
|---|---|
| Type | Channel |
| Username | @fzxchbd1 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/fzxchbd1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 21:36 | 13,104 | +108 |
| 6 Sept 2026, 17:00 | 12,996 | +80 |
| 4 Sept 2026, 03:39 | 12,916 | +19 |
| 2 Sept 2026, 15:34 | 12,897 | -13 |
| 1 Sept 2026, 18:05 | 12,910 | +7 |
| 31 Aug 2026, 17:08 | 12,903 | +31 |
| 30 Aug 2026, 14:15 | 12,872 | +20 |
| 29 Aug 2026, 17:12 | 12,852 | +6 |
| 28 Aug 2026, 18:04 | 12,846 | +26 |
| 27 Aug 2026, 21:34 | 12,820 | +55 |
| 26 Aug 2026, 21:54 | 12,765 | +22 |
| 25 Aug 2026, 22:03 | 12,743 | +10 |
| 24 Aug 2026, 20:02 | 12,733 | +231 |
| 23 Aug 2026, 03:23 | 12,502 | +17 |
| 21 Aug 2026, 18:05 | 12,485 | -32 |
| 20 Aug 2026, 12:23 | 12,517 | +12 |
| 19 Aug 2026, 13:25 | 12,505 | +24 |
| 18 Aug 2026, 12:47 | 12,481 | +10 |
| 17 Aug 2026, 11:38 | 12,471 | +9 |
| 16 Aug 2026, 02:54 | 12,462 | first reading |
Engagement
80 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 52 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.02%
- avg views ÷ 13,104 subscribers
- Avg views / post
- 265
- 57 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 57
- of 80 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 2 September 2026 |
|---|---|
| Posts held | 80 (6 August 2026 – 2 September 2026) |
| Views total | 15,095 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:50 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
- 4m 01s
- Average length
- 8s
Measured directly from 30 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
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🥇艺名:#七月📍地区: #嘉定 💵半套:700/70min 💵全套:800/p 1500/pp 📌身材:160cm 47kg 胸D+ 🍃标签: #图二手势验证 #大胸 #服务系 #抓龙筋 #纯舌毒龙 #口爆 #六九 #深喉 #按摩 #胸推 #漫游 #外出 #制服 #丝袜 #五星推荐 😀联系方式: 七月 约课备注“风子修车行推荐”进 VIP群 😀双向联系: @xiaoyahuang99_bot 车评反馈区: 【认证车评】 【认证车评】 【精英车评】 【精英车评】 【精英车评】 【复刷车评】 【 车评七 】 ✍️ 写作业 🐺狼友聊天群 🪙修车币
温馨提醒:出击请反复核验是否为上榜老师,请小心广告和骗子、主动私聊
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温馨提醒:出击请反复核验是否为上榜老师,请小心广告和骗子、主动私聊
Showing the 12 most recent of 80 posts we hold for @fzxchbd1. 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 12 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.
@fzxchd1 · 2,86510 postsLotteryBest抽奖导航
@lotterynav · 171,3104 postsLotteryBest精选推荐
@lotterybestnav · 144,0573 posts天然白虎欧阳巧巧新人首次下海
@tdd789 · 6082 posts小怡的秘密花园
@Xiaoyi88958 · 442 posts白嫩,大胸,大长腿。
@bxm3366 · 4471 post茶冻冻的百宝屋
@chaddOOl · 1771 post豆豆朋友圈
@dd89036 · 6101 post上海风子修车行总榜
@fzxczb1 · 55,5991 post广州深圳小护士,课表照片请私聊
@moti0204 · 1,2961 post七月的童话城堡
@syi008 · 1,5931 post新人首开第一天下海
@ybb6782 · 3921 post
Names
Channels on the register whose handles appear in this channel's posts.
@fzxch01 · 36,44545 posts上海风子修车福利频道
@fzxchd1 · 2,86545 posts上海风子修车行总榜
@fzxczb1 · 55,59938 posts上海风子修车报告频道
@fzxchaoping1 · 2,88423 postsLotteryBest Bot
@LotteryBestBot · 96,08811 posts上海风子修车行备用群
@fengzixiuche013 · 6,5916 posts冰冰
@baos10086 · 6861 post上海女仆私影【好评报告】
@ggoodfb · 4211 post魔都推油选店-4T白沙聊天群
@hhk988 · 7,2171 post胖虎选妃,只做高端,包你满意
@niao798 · 7,7301 post普陀【碧游宫】👙
@putuochenx22 · 1,5681 post《后宫 》4T+K 修车
@sandezi888 · 4,7651 post上海鑫鑫——抓龙筋精选
@shanghaixxjx · 1,9541 post上海西米家海选女仆私影MMK【9295】
@SHMMK92 · 7,2721 post皮肤超好,超级嫩。
@ss89632 · 4921 post普陀 白沙技师照片总汇
@xkh001 · 5,7941 post新人首开第一天下海
@ybb6782 · 3921 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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“上海风子修车行榜单(中转)” (@fzxchbd1), 13,104 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/fzxchbd1.
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.