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Channel

上海修车头条榜单

@shh5589

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

650subscribers

+3 since we began measuring on 31 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002069031612
TypeChannel
Username@shh5589
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live1 September 2026
Measurements held2
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/shh5589

Growth

647650648.531 Aug 2026, 06:47 — 647 subscribers1 Sept 2026, 00:05 — 650 subscribers31 Aug 2026, 06:471 Sept 2026, 00:05
2 measurements taken within a single day, net +3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 647–650 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 00:05650+3
31 Aug 2026, 06:47647first reading

Engagement

5 posts held, back to 27 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.32%
avg views ÷ 650 subscribers
Avg views / post
21.6
5 posts measured
Reaction rate
8.42%
reactions ÷ views · ER floor
Posts in window
5
of 5 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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 August 2026
Posts held5 (27 August 202630 August 2026)
Views total108
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 06:47 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
17s
Average length
9s

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

8 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
450.0%
🔥225.0%
👀112.5%
👏112.5%

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 4 of the 5 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 27 August 2026 to 30 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

30 Aug 2026, 01:00 UTC13 viewsread 31 August 2026
Photo

Telegram 中文圈搜索引擎,积木JIMU 帮你查询任何您想要的群组、频道(不论公开与私密) 👉 助力可提升搜索排名与曝光 🚀

29 Aug 2026, 05:44 UTC19 views2 reactionsread 31 August 2026
Photo

名字:#甜心 代聊 地区:#上海 #普陀区 #普陀 价格:#800p #1500pp 资料:身高172体重112 胸围36D 没有赘肉 联系:#ID20260829002 @tianxin910 @tianxin9100_bot 频道: https://t.me/tianxin9100 potato土豆: 与你号: QQ: 微信: uuuTalk号: 标签: #御姐 #颜值系 #萧后 #服务系 #上海资源 #上海上课 #上海修车 #上海老师 #上海楼凤 #上海顶美 备注 开门的瞬间被老师的身材惊艳了,老师裸足身高171跟我站一起基本齐平了,一对天然D灯没有任何科技与狠活,捏在手里非常爽,服务也很好 📊 0 条车评 ✳️ Powered by @shh55233 @shh552333 报告分享 狼友公开榜 当日开课老师 上榜要求 手势拍照实时 特服周刊 https://t.me/+XvPkDG4dINo0

2

28 Aug 2026, 01:00 UTC24 views2 reactionsread 31 August 2026
Photo

Telegram 中文圈搜索引擎,积木JIMU 帮你查询任何您想要的群组、频道(不论公开与私密) 👉 助力可提升搜索排名与曝光 🚀

👀1🔥1

27 Aug 2026, 18:23 UTC25 views2 reactionsread 31 August 2026
Photo

名字:#鑫怡 地区:#上海 #普陀区 #普陀 价格:#1800p #3000pp 资料:年龄05年 身高170 体重98粉嫩半球形E 联系:#ID20260828002 @XINxyyi @XXiaoYyi_bot 频道: https://t.me/xxxxinyyi potato土豆: 与你号: QQ: 微信: uuuTalk号: 标签: #御姐 #颜值系 #萧后 #服务系 #口爆 #上海资源 #上海上课 #上海修车 #上海老师 #上海楼凤 #上海顶美 备注 新人待验 📊 0 条车评 ✳️ Powered by @shh55233 @shh552333 报告分享 狼友公开榜 当日开课老师 上榜要求 手势拍照实时 特服周刊 https://t.me/+XvPkDG4dINo0YmY1 上海修车头条狼友福利群 友群 @aihaoheiche2 @muxinh

1👏1

27 Aug 2026, 02:21 UTC27 views2 reactionsread 31 August 2026
Photo

名字:#乌克兰混血Kelly 地区:#上海 #静安区 #静安虹口交界 价格:#2500p #4000pp 资料:95年 175cm 臀围130 胸D 65kg 联系:#ID20260827002 @kelly121256 @Kelly121256bot 频道: https://t.me/kellyhome666 @kelly1212568 potato土豆: 与你号: QQ: 微信: uuuTalk号: 标签: #御姐 #颜值系 #萧后 #服务系 #口爆 #上海资源 #上海上课 #上海修车 #上海老师 #上海楼凤 #上海顶美 备注 和照片视频的还原度很高,健谈,身材很好,皮肤白,个子高,三点粉,臀巨大,还喜欢自己摆姿势喜欢壮的可以 要啥啥没有,口口就做,不陪洗,没制服,没道具,没🐍,没角色扮演,课表说的基本没有 📊 0 条车评 ✳️ Powered by @shh55233 @shh552333 报告分享 狼友

1🔥1

Showing the 5 most recent of 5 posts we hold for @shh5589. 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 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.

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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“上海修车头条榜单” (@shh5589), 650 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/shh5589.

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.