🟡昵称: 甜心 🕐地区:#湖里区 🤖双向:@tianxinls_bot 🚀电报:@tianxinls520 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 🔰#外出车费随意不超过100 🔰#点击下方查看详情⬇️ 🔰【评论区必看 】 ⬇️⬇️⬇️
❤1

Channel
@xiamshib888
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
31,564subscribers
-368 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001671124704 |
|---|---|
| Type | Channel |
| Username | @xiamshib888 |
| Description | 【修车老总】 @sb88863bot 【修车频道】https://t.me/xiamshib888 【修车老群】https://t.me/jibaosiqunjia 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/xiamshib888 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 01:34 | 31,564 | +28 |
| 29 Aug 2026, 05:03 | 31,536 | -60 |
| 28 Aug 2026, 03:17 | 31,596 | -74 |
| 27 Aug 2026, 04:49 | 31,670 | -113 |
| 26 Aug 2026, 03:06 | 31,783 | +22 |
| 25 Aug 2026, 03:07 | 31,761 | -117 |
| 23 Aug 2026, 20:55 | 31,878 | -266 |
| 22 Aug 2026, 05:38 | 32,144 | -58 |
| 20 Aug 2026, 20:02 | 32,202 | +58 |
| 19 Aug 2026, 19:08 | 32,144 | +62 |
| 18 Aug 2026, 15:53 | 32,082 | -50 |
| 17 Aug 2026, 16:54 | 32,132 | +1 |
| 16 Aug 2026, 14:34 | 32,131 | +76 |
| 14 Aug 2026, 20:24 | 32,055 | +85 |
| 13 Aug 2026, 13:04 | 31,970 | +38 |
| 12 Aug 2026, 23:00 | 31,932 | no change |
| 12 Aug 2026, 22:53 | 31,932 | first reading |
10 posts held, back to 29 July 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 35 pagesof Telegram’s post history, 20 posts per page.
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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 August 2026 |
|---|---|
| Posts held | 10 (29 July 2026 – 25 August 2026) |
| Views total | 48,990 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 06:52 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.
Lifetime counters from Telegram’s own channel header, read 30 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.
Measured directly from 4 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.
10 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 100.0% |
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 8 of the 10 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 29 July 2026 to 25 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.
🟡昵称: 甜心 🕐地区:#湖里区 🤖双向:@tianxinls_bot 🚀电报:@tianxinls520 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 🔰#外出车费随意不超过100 🔰#点击下方查看详情⬇️ 🔰【评论区必看 】 ⬇️⬇️⬇️
❤1
🟡昵称: #诗宁 🕐地区: #湖里区附近 🤖双向:@DeleteFalsBot 🚀电报:@ShiNingms 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
#小青柑 个人开课 @xiaoqinggang666 #厦门岛内 #抓龙筋特色全套 600全套70分钟 承诺靠谱,环境温馨 会夹会吸会劈叉 频道点击浏览👀 🔴标签 #可放心出击 #已验证
❤1
🟡昵称: #奶糖 🕐地区:#厦门湖里区 🤖双向:@Zangmao_bot 🚀电报:@naitangfa8888 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #正宗水床➕莞试 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️
❤1
🟡昵称: #糖果酱 🕐地区: #湖里区 🤖双向:@Lakjjjj66bot 🚀电报:@Lakjjjj66 🔴水费:📤课表查看图📤 #禁收定金和没见人就给课费
❤5
🟡昵称: #小表妹 🕐地区: #思明区 🤖双向: 🚀电报:@jvffujbvdd 🔴水费:📤课表查看图📤 #禁收定金和没见人就给课费
❤1
🟡昵称: #宝宝 🕐地区: #湖里区 🤖双向:@xiaonan778_bot 🚀电报:@baobao55669 🔴水费:📤课表查看图📤 #禁收定金和没见人就给课费
❤1
#潘姐高端极品【大⭕️】 #诚信客服 已验证 #定金预约 群管已担保 💎专注特区一线城市修车,纯一手资源 只有你想不到的,没有我没有的。 ✡️奢华的环境、全套一条龙服务、至尊享受、帝王体验 ♒️总频道: @hnanjingjujidi ♏️客服潘姐: @panjie888168bot
菲菲老师 湖里 莞试服务系 口活一流 #姐妹推荐 #厦门 #湖里 #熟茶 #服务系 #莞试服务 #苗条 #骚 短评: 性感 高挑 服务系 玩的开 非常骚 在榜姐妹推荐的,喜欢的放心出击 最新反馈:老师增加了水床 服务很棒,两只奶手感很软,皮肤白皙光滑,熟茶,下面很紧,水床服务更是重量级推荐❤️❤️ 老师属于御姐范,淑女,骚气十足,健谈,正宗菀试服务,按照课表一样不落了,总的来说性价比非常高,胸好看,大屁股,主动服务意识高,躺着享受就行,不催,做口碑!见过骚的没见过这么骚的,玩嗨了,没有一定的功底驾驭不了! 个人私信:@feifeils 个人频道:https://t.me/qiutinls
🟡昵称: 04 Sam 🕐地区:#集美 🤖双向:@xuerepaobot 🚀电报:@zizipao 🔔频道: https://t.me/xiaommpao 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️
Showing the 10 most recent of 10 posts we hold for @xiamshib888. 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.
@xiamshib888 edited 1 post 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.
Names
Channels on the register whose handles appear in this channel's 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“厦门认证资源” (@xiamshib888), 31,564 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/xiamshib888.
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.