Telegram RegisterThe public register of Telegram

Channel

*泰国修车* 泰国外围 曼谷修车 曼谷外围

@taiguoxiucheww

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

4,516subscribers

-276 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002780079477
TypeChannel
Username@taiguoxiucheww
Description#泰国
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/taiguoxiucheww

Topic

Adult — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 71% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@xiuchec/1458624 Jun 2026, 13:16 UTC@taiguoxiucheww/1981 · this entry24 Jun 2026, 13:22 UTC1.006 minutes
@xiuchec/1458824 Jun 2026, 13:16 UTC@taiguoxiucheww/1983 · this entry24 Jun 2026, 13:22 UTC1.006 minutes
@xiuchec/1459024 Jun 2026, 13:16 UTC@taiguoxiucheww/1985 · this entry24 Jun 2026, 13:22 UTC1.006 minutes
@xiuchec/1459224 Jun 2026, 13:20 UTC@taiguoxiucheww/1987 · this entry24 Jun 2026, 13:22 UTC1.002 minutes
@xiuchec/1459424 Jun 2026, 16:17 UTC@taiguoxiucheww/1989 · this entry24 Jun 2026, 16:18 UTC1.00under a minute
@xiuchec/146011 Jul 2026, 17:19 UTC@taiguoxiucheww/2003 · this entry1 Jul 2026, 17:20 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xiuchec7 (7/7 hand-verifiable sample passed)1.002 minutes@xiuchec (70)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 7 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 8 comparable posts for this entry, running 24 June 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @xiuchec. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

4,5164,7924,6546 August 2026 — 4,792 subscribers7 August 2026 — 4,737 subscribers10 August 2026 — 4,516 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -276. 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 4,475–4,833 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 14:354,516-221
7 Aug 2026, 17:114,737-55
6 Aug 2026, 19:464,792first reading

Engagement

9 posts held, back to 24 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.199%
avg views ÷ 4,516 subscribers
Avg views / post
9.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 9 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held9 (24 June 202612 August 2026)
Views total18
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 07:47 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

Photos
1,240
Videos
420
Links
389

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 19s
Average length
11s

Measured directly from 7 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

228 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 26.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉6026.3%
👍4519.7%
4318.9%
😁4318.9%
🔥3716.2%

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 7 of the 9 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 228reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 24 June 2026 to 12 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

12 Aug 2026, 04:57 UTC7 viewsread 12 August 2026
Photo

来自速搜推荐 @SSOU 📢人妻女友的秘密㊙️频道 📢网红 露脸 自拍😍 📢黑丝|御姐|大长腿|极品... 📢皇冠私网🅰️亚星私网�... 📢古装连续剧|热门剧场 📢牛牛财经|币圈新闻 📢【夜鹰 数据】九年老料商... 📢小额代收~码接回u通道线... 📢丝瓜号 三条号 默往 📢⭕️喵脸君≧v≦ 📢次元同人 NEW8 📢黄色导航站🔞你想看的这... 📢抖音 tiktok 美女... 📢中文资源合集 📢广州佛山高端,江门中山9... 👉流量互推规则介绍💥 以下是广告推荐 📢🅾️免费试玩✅大客必备✅注册送158🅾️ 📢专业Telegram账号交易平台🔥热门社交媒体账号交易 📢✅金边娱乐城✅全网上押800万u盘总聚集地 📢💹567U时代火爆上线!招收玩家/代理,匿名开户,放心娱乐! 🥇西湖娱乐城✅老品牌包出款✅出款超10亿U 🇨🇳 简体中文包 —————————-- 🔥将 @TonGroupHelpBot 设置为频道管理员,即

8 Aug 2026, 04:57 UTC11 viewsread 8 August 2026
Photo

来自速搜推荐 @SSOU 📢抖音视频|流量网剧 📢TG超级高速代理/免费代... 📢日本无码av(3) 📢中文资源导航 📢阿修号商(企业各种接粉号... 📢黑料/福利/精选AV 📢无用知识 |排忧解惑 |... 📢人妻女友的秘密㊙️频道 📢巨乳少女萝莉 📢日综|变态|搞笑|日韩综... 📢中文字幕无码日本av(2... 📢约炮高手❤️把妹达人💋... 📢黄色导航站🔞你想看的这... 📢中文资源合集 📢亚星官网 亚星私网 亚星... 👉流量互推规则介绍💥 以下是广告推荐 📢⚽️爱博体育-佣金55%-玩家首存即升VIP7等级⚽️ 📢专业Telegram账号交易平台🔥热门社交媒体账号交易 📢球速体育相信品牌的力量、老品牌值得信赖、不限ip、免实名。 📢✅金边娱乐城✅全网上押800万u盘总聚集地 📢东南亚今日头条|新闻|爆料|悬赏|通缉|吃瓜缅甸妙瓦底大揭 🇨🇳 简体中文包 —————————-- 🔥将 @TonGroupHel

1 Jul 2026, 17:20 UTC307 views34 reactionsread 12 August 2026
Photo

曼谷S牌 🇻🇳 越南 🇻🇳(MG2556) 名称:Nami 籍贯:越南🇻🇳 身高:165cm 体重:48kg 年龄:03 胸围:C 🉑中文 🉑喝酒🍺🉑骰子🎲🉑双飞🉑无套吹萧🉑口交🉑69🉑制服🉑丝袜🉑乳交🉑足交 ✅吉隆坡外围 ✅菲律宾外围 ✅东南亚新闻 👼深夜福利频道 ✅招聘各国优质女孩🚨 ✅✅✅唯一客服 6月份优惠活动点这里 ➗➗➗➗➗➗➗➗➗➗ #频道赞助商 🐏🐩🐏🌵U存U提 每日提款不限额 专注海外流量,多年出海经验精通各类模式精准引流。 可多地区市场测试。有需求的老板欢迎来聊。

🎉9🔥8👍7😁64

1 Jul 2026, 17:20 UTC230 views25 reactionsread 12 August 2026
Photo

曼谷S牌 🇻🇳 越南 🇻🇳(MG2555) 名称:Mina xinghua 籍贯:越南🇻🇳 身高:162cm 体重:45kg 年龄:03 胸围:C 🉑中文 🉑喝酒🍺🉑骰子🎲🉑双飞🉑无套吹萧🉑口交🉑69🉑制服🉑丝袜🉑乳交🉑足交 ✅吉隆坡外围 ✅菲律宾外围 ✅东南亚新闻 👼深夜福利频道 ✅招聘各国优质女孩🚨 ✅✅✅唯一客服 6月份优惠活动点这里 ➗➗➗➗➗➗➗➗➗➗ #频道赞助商 🐏🐩🐏🌵U存U提 每日提款不限额 专注海外流量,多年出海经验精通各类模式精准引流。 可多地区市场测试。有需求的老板欢迎来聊。

🎉9👍65😁4🔥1

24 Jun 2026, 16:18 UTC266 views29 reactionsread 12 August 2026
Photo

🇻🇳A牌 ⭐️名称:迪迪 ⭐️籍贯:越南🍵 ⭐️身高:163cm ⭐️胸围:D ⭐️体重:43kg 价格: 12000泰铢/1小时1次 18000泰铢/2小时2次 25000泰铢/6小时2次 35000泰铢/12小时3次 会中文 可以喝一点酒🍺 真人好看 温柔爱笑 有耐心态度好 会哄客户 开朗大方服务主动 🎉 ⭕️喝酒陪嗨额外加钱 ✅吉隆坡外围 ✅菲律宾外围 ✅东南亚新闻 👼深夜福利频道 ✅招聘各国优质女孩🚨 ✅✅✅唯一客服 6月份优惠活动点这里 ➗➗➗➗➗➗➗➗➗➗ #频道赞助商 🐏🐩🐏🌵U存U提 每日提款不限额 专注海外流量,多年出海经验精通各类模式精准引流。 可多地区市场测试。有需求的老板欢迎来聊。

8👍6🔥6🎉5😁4

24 Jun 2026, 13:22 UTC135 views25 reactionsread 12 August 2026
Photo

曼谷S牌 🇻🇳 越南 🇻🇳(MG2553) 名称:LUCY 籍贯:越南🇻🇳 身高:160cm 体重:45kg 年龄:05 胸围:C 真胸 🉑中文 🉑喝酒🍺🉑骰子🎲🉑双飞🉑无套吹萧🉑口交🉑69🉑制服🉑丝袜🉑乳交🉑足交 ✅吉隆坡外围 ✅菲律宾外围 ✅东南亚新闻 👼深夜福利频道 ✅招聘各国优质女孩🚨 ✅✅✅唯一客服 6月份优惠活动点这里 ➗➗➗➗➗➗➗➗➗➗ #频道赞助商 🐏🐩🐏🌵U存U提 每日提款不限额 专注海外流量,多年出海经验精通各类模式精准引流。 可多地区市场测试。有需求的老板欢迎来聊。

🎉9😁6👍43🔥3

24 Jun 2026, 13:22 UTC116 views41 reactionsread 12 August 2026
Video

曼谷S牌 🇻🇳 越南 🇻🇳(MG2552) 名称:Mỹ Mỹ 籍贯:越南🇻🇳 身高:165cm 体重:45kg 年龄:08 胸围:C 🉑中文 🉑喝酒🍺🉑骰子🎲🉑双飞🉑无套吹萧🉑口交🉑69🉑制服🉑丝袜🉑乳交🉑足交 ✅吉隆坡外围 ✅菲律宾外围 ✅东南亚新闻 👼深夜福利频道 ✅招聘各国优质女孩🚨 ✅✅✅唯一客服 6月份优惠活动点这里 ➗➗➗➗➗➗➗➗➗➗ #频道赞助商 🐏🐩🐏🌵U存U提 每日提款不限额 专注海外流量,多年出海经验精通各类模式精准引流。 可多地区市场测试。有需求的老板欢迎来聊。

11🎉10👍8🔥6😁6

24 Jun 2026, 13:22 UTC95 views31 reactionsread 12 August 2026
Photo

曼谷S牌 🇻🇳 越南 🇻🇳(MG2551) 名称:Annie Trang Lâm 籍贯:越南🇻🇳 身高:160cm 体重:49kg 年龄:08 胸围:C 🉑中文 🉑喝酒🍺🉑骰子🎲🉑双飞🉑无套吹萧🉑口交🉑69🉑制服🉑丝袜🉑乳交🉑足交 ✅吉隆坡外围 ✅菲律宾外围 ✅东南亚新闻 👼深夜福利频道 ✅招聘各国优质女孩🚨 ✅✅✅唯一客服 6月份优惠活动点这里 ➗➗➗➗➗➗➗➗➗➗ #频道赞助商 🐏🐩🐏🌵U存U提 每日提款不限额 专注海外流量,多年出海经验精通各类模式精准引流。 可多地区市场测试。有需求的老板欢迎来聊。

🎉10👍65🔥5😁5

24 Jun 2026, 13:22 UTC172 views43 reactionsread 12 August 2026
Photo

曼谷S牌 🇻🇳 越南 🇻🇳(MG2554) 名称:BiBi 籍贯:越南🇻🇳 身高:163cm 体重:42kg 年龄:03 胸围:C 🉑中文 🉑喝酒🍺🉑骰子🎲🉑双飞🉑无套吹萧🉑口交🉑69🉑制服🉑丝袜🉑乳交🉑足交 ✅吉隆坡外围 ✅菲律宾外围 ✅东南亚新闻 👼深夜福利频道 ✅招聘各国优质女孩🚨 ✅✅✅唯一客服 6月份优惠活动点这里 ➗➗➗➗➗➗➗➗➗➗ #频道赞助商 🐏🐩🐏🌵U存U提 每日提款不限额 专注海外流量,多年出海经验精通各类模式精准引流。 可多地区市场测试。有需求的老板欢迎来聊。

😁12🎉8👍8🔥87

Showing the 9 most recent of 9 posts we hold for @taiguoxiucheww. 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 — 479,942 of 1,151,006entries 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 19 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.

Names

Channels on the register whose handles appear in this channel's posts.

【东南亚】 吉隆坡修车 马来西亚
@jilongpo1234 · 5,162
7 posts
🍑蜜桃🍑菲律宾修车找我🍑高端女孩🍑
@manilaxiuche2 · 6,393
7 posts
一条龙🐉菲律宾🇵🇭泰国🇹🇭马来西亚🇲🇾修车会所
@xiuchec · 5,837
7 posts
速搜
@ssou · 208,075
4 posts
速搜❤️‍🔥流量互推/广告交易
@TonAdNews · 8,382
4 posts
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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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“*泰国修车* 泰国外围 曼谷修车 曼谷外围” (@taiguoxiucheww), 4,516 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/taiguoxiucheww.

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.