【深圳出击大队雷报】 https://t.me/xiuchechujichapin 【学生留名】:匿名 【今日时间】:8.1 【雷报老师】:#丢丢 【位置坐标】:#龙华 【被骗过程】:老师跑路,号在骗定。已被拉黑 【联系方式】:@diudiu1121 雷报老师下榜处理,曝光各大群。

Channel
深圳修车出击大队差评黑榜
@xiuchechujichapin
On this record: Growth · Engagement · Posts · Citations · Cite this entry
969subscribers
-115 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002885209186 |
|---|---|
| Type | Channel |
| Username | @xiuchechujichapin |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/xiuchechujichapin |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 06:48 | 969 | -39 |
| 13 Aug 2026, 02:48 | 1,008 | -48 |
| 10 Aug 2026, 09:12 | 1,056 | -28 |
| 6 Aug 2026, 22:30 | 1,084 | no change |
| 6 Aug 2026, 22:25 | 1,084 | first reading |
Engagement
10 posts held, back to 21 June 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 62.5%
- avg views ÷ 969 subscribers
- Avg views / post
- 606
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 10 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 August 2026 |
|---|---|
| Posts held | 10 (21 June 2026 – 2 August 2026) |
| Views total | 1,211 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 22:30 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.
Recent posts
【深圳出击大队雷报】 https://t.me/xiuchechujichapin 【学生留名】:匿名 【今日时间】:7.21 【雷报老师】:#@琳琳 【位置坐标】:#龙华 【被骗过程】:提前约了,到楼下跟我说没有给定金,头课给别人了,然后不回信息了 【联系方式】:@linlove521 雷报老师下榜处理,曝光各大群。
【深圳修车出击大队雷报】 【学生留名】:好 【今日时间】:5.23 【雷报老师】:#妤媛 【位置坐标】:#龙华 【被骗过程】:骗定金 【联系方式】:@yuyuanbb 雷报老师下榜处理,曝光各大群。
【深圳修车出击大队雷报】 【学生留名】:匿名 【今日时间】:15/07/2026 【雷报老师】:#琪琪 【位置坐标】:#罗湖永美姿 【被骗过程】:完全不是一个人 不是p 就是假照片 还说是她本人 我和她电报是说了什么 她完全不知道 身材照片视频全部都是假的 是个大妈 说的服务什么都没有 而且很大妈 纯团队骗子 【联系方式】:@luohu999qi
【深圳修车出击大队雷报】 【学生留名】:侠名 【今日时间】:7月10日 【雷报老师】:#大运笑笑 【位置坐标】:#大运 【被骗过程】:抽中工兵券,不予以兑换,以大姨妈为由拖,用小号预约是有位置的 【联系方式】:@vip38526 雷报老师下榜处理,曝光各大群。
【深圳修车出击大队雷报】 【学生留名】:匿名 【今日时间】:7/6 【雷报老师】:#萌萌 【位置坐标】:#深圳福田 【被骗过程】:第一次中了半价兴高采烈的找老师兑奖,发现频道没了很奇怪,找老师也没回应,开始觉得不对劲。果然没多久联系人也没有了,频道也变成了骗钱广告,果断是老师跑路了,真的心酸,好不容易中一次半价。 【联系方式】:@mengmeng9899 雷报老师下榜处理,曝光各大群。
【深圳修车出击大队雷报】 【学生留名】:香菇 【今日时间】:7.4 【雷报老师】:小莫 【位置坐标】:南山 【被骗过程】:兑换了半价,提前一天约好时间。提前两小时开始确认,结果一直不回复信息,到了时间也不回。关键是一直在线一直不回,过来20分钟说差评才回复,说几点过来。约好的时间还问几点,我已经离开了,没有一点职业道德。差评 【联系方式】:@xinyue5231 雷报老师下榜处理,曝光各大群。
【深圳修车出击大队雷报】 【学生留名】:感情哥 【今日时间】:20260630 【雷报老师】:南山柚子 【位置坐标】:大冲新城花园 【被骗过程】:骗定金 【联系方式】:@yz20052 雷报老师下榜处理,曝光各大群。
【深圳修车出击大队雷报】 【学生留名】:匿名 【今日时间】:24/06/2026 【雷报老师】:#琪琪 【位置坐标】:#羅湖永美姿 【被骗过程】:正常去了會所,根本對不上照片,大媽來的,然後說「都是照騙嘛,一定有p一點點的」。p一點點沒事 但胸型紋身年齡都對不上,和都是代聊的 問他手機看看電報核對是本人都拒絕 【联系方式】:@luohu999qi 雷报老师下榜处理,曝光各大群。
【深圳修车出击大队雷报 (https://t.me/xiuchechujichapin)】 【学生留名】:🐸🐸叫 【今日时间】:6月21号 【雷报老师】:#小兮 【位置坐标】:# 南山 【被骗过程】:中奖那晚约课,临近约课时间准备到达,突然说身体不舒服,改天再约,随后还是上楼与她沟通,说身体不舒服,隔天再约,体谅她身体健康随后离去,隔天后发消息再约课,直接不兑半价 【联系方式】:@xiaoxixiaoxi7799 雷报老师下榜处理,曝光各大群。
Showing the 10 most recent of 10 posts we hold for @xiuchechujichapin. 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.
Citation-graph rank
Citation-graph rank — 702,207 of 1,550,220entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 5 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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳修车出击大队差评黑榜” (@xiuchechujichapin), 969 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/xiuchechujichapin.
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.