Telegram RegisterThe public register of Telegram
Telegram profile photo for 广州佛山修车验真报告

Channel

广州佛山修车验真报告

@hzywj

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

9,158subscribers

+7,883 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002203845027
TypeChannel
Username@hzywj
Description志为群友免费提供广佛修车资源。所有私聊你卖资源的一律是骗子,谨防被骗。唯一群主机器人 @bommod_bot
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/hzywj

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 the other topics.

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 in near-verbatim form 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@bounsburst008/732526 Oct 2026, 04:17 UTC@hzywj/395 · this entry26 Oct 2026, 04:17 UTC1.00under a minute
@bounsburst008/734029 Oct 2026, 05:02 UTC@hzywj/400 · this entry29 Oct 2026, 05:02 UTC1.00under a minute
@bounsburst008/734830 Oct 2026, 03:39 UTC@hzywj/403 · this entry30 Oct 2026, 03:39 UTC1.00under a minute
@bounsburst008/735331 Oct 2026, 05:12 UTC@hzywj/406 · this entry31 Oct 2026, 05:12 UTC1.00under a minute
@bounsburst008/73622 Nov 2026, 05:51 UTC@hzywj/411 · this entry2 Nov 2026, 05:51 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@bounsburst0085 (5/5 hand-verifiable sample passed)1.00under a minute@bounsburst008 (5–0)

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. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 37 comparable posts for this entry, running 21 January 2025 to 13 November 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).

Recorded under the key clone_copy, last confirmed 14 November 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.

Growth

1,2269,5265,3767 August 2026 — 1,275 subscribers7 August 2026 — 1,275 subscribers11 August 2026 — 1,273 subscribers14 August 2026 — 1,274 subscribers17 August 2026 — 1,272 subscribers20 August 2026 — 1,269 subscribers23 August 2026 — 1,265 subscribers26 August 2026 — 1,259 subscribers29 August 2026 — 1,258 subscribers1 September 2026 — 1,257 subscribers5 September 2026 — 1,253 subscribers10 September 2026 — 1,247 subscribers18 September 2026 — 1,246 subscribers27 September 2026 — 1,243 subscribers5 October 2026 — 1,233 subscribers11 October 2026 — 1,229 subscribers14 October 2026 — 1,228 subscribers17 October 2026 — 1,227 subscribers20 October 2026 — 1,226 subscribers23 October 2026 — 1,227 subscribers26 October 2026 — 4,782 subscribers29 October 2026 — 6,061 subscribers2 November 2026 — 8,718 subscribers5 November 2026 — 9,526 subscribers8 November 2026 — 9,182 subscribers13 November 2026 — 9,158 subscribers9,1587 August 202613 November 2026
26 measurements spanning 98 days, net +7,883. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
13 Nov 2026, 22:219,158-24
8 Nov 2026, 23:199,182-344
5 Nov 2026, 09:269,526+808
2 Nov 2026, 04:278,718+2,657
29 Oct 2026, 22:596,061+1,279
26 Oct 2026, 19:204,782+3,555
23 Oct 2026, 14:081,227+1
20 Oct 2026, 11:151,226-1
17 Oct 2026, 17:071,227-1
14 Oct 2026, 22:281,228-1
11 Oct 2026, 14:551,229-4
5 Oct 2026, 12:391,233-10
27 Sept 2026, 14:001,243-3
18 Sept 2026, 00:361,246-1
10 Sept 2026, 13:171,247-6
5 Sept 2026, 14:391,253-4
1 Sept 2026, 05:081,257-1
29 Aug 2026, 13:331,258-1
26 Aug 2026, 21:531,259-6
23 Aug 2026, 17:331,265first reading

Engagement

47 posts held, back to 21 January 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.61%
avg views ÷ 9,158 subscribers
Avg views / post
55.9
21 posts measured
Reaction rate
0.758%
reactions ÷ views · ER floor
Posts in window
27
of 47 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 2 of 21 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 13 November 2026
Posts held47 (21 January 2025 – 13 November 2026)
Views total1,173
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 12:58 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
66
Links
264

Lifetime counters from Telegram’s own channel header, read 14 November 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.

Reaction mix

6 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤466.7%
👍116.7%
👎116.7%

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 5 of the 47 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 47 most recent posts we hold, published 21 January 2025 to 13 November 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

Telegram’s own ‘edited’ marker: 6 of 27 posts held from the last 30 days (22.2%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 15:19 UTC13 viewsread 14 November 2026

【佛广报告】:https://t.me/foshan1234 【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: 清 【验证时间】:11.13 【上课价位】:1000pp 【颜值身材】:大长腿 【服务内容】: 都有做 【服务态度】: 好 【优点缺点】: 优点:颜值很高,身材好,服务一流 缺点:我觉得没有 【推荐程度】:10 【体验细节】一进门就看见老师甜美的笑容接待我,然后还贴心的问我要不要喝水,给了课费就一起去洗鸳鸯浴,拿了好几套情趣衣让我挑选,然后就慢慢的调情,口活太棒了,弟弟都受不了了,服务做完之后然后就开战,老师的下面好紧,而且还流了好多水,特别喜欢老师的大屁股,后入一下就受不了发射子弹了!老师全程服务特别好。有机会还找你! 【群主审核】:此报告参考价值 #低

11 Nov 2026, 07:56 UTC17 viewsread 14 November 2026

【佛广报告】:https://t.me/foshan1234 【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: 诺 【验证时间】:11.11 【上课价位】:500P 【颜值身材】:高挑,跟频道照片大差不差 【服务内容】: 都有 【服务态度】: 好 【优点缺点】: 优点:服务十分到位,颜值身材好 缺点:我觉得没得 【推荐程度】:10 【体验细节】朋友推荐来刷一下,过来挺近的。课室比较干净温馨,有小女儿家的感觉,老师本人可以,皮肤白舒服的长相。个子高说话声音挺温柔,胸很大,和介绍一样D,腿很长服务比较周到,拿浴巾,拖鞋,放洗澡水,床上服务多,口活可以,体感比较好,很紧,姿势都配合,我时间有点久,也没有不耐烦, 【群主审核】:此报告参考价值 #低

9 Nov 2026, 07:00 UTC28 viewsread 14 November 2026

【验真报告】[https://t.me/foshan1234] 【所在位置】酒店 【老师艺名】蓝蓝 【联系方式】 @lanlan2005a 【验证留名】匿名 【验证时间】11.8 【上课价位】800p 【人照一致】是 【体验细节】提前一天约好了老师,今天等老师联系告知已经出发了我再去开房等老师,老师到了后看到人跟照片里没啥区别就交水费了,接着闲聊了几句之后就到浴室一起洗澡,洗澡的时候老师主动蹲下帮我口起来,口的时候感觉到舌头在刺激我的龟头和马眼,感觉很强烈,怕被秒,感觉差不多了就叫停了,洗完后在床上接着下半场,在床上跟老师抱着蛇了起来,老师很投入,没感觉到一点抗拒感,蛇的时候老师还时不时摸我的乳头和鸡鸡,感觉差不多了,忍不住了,戴套开干,传教士123结束了,哎,前戏弄得太兴奋了,姿势都没换就忍不住出水了,由于还没到时间,蓝蓝躺在我胸里再聊了会,她还挺会聊的,最后时间到了,收拾完,临走前还给了个拥抱,情绪价值给得很足! 温馨提示…

9 Nov 2026, 06:06 UTC31 viewsread 14 November 2026

【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: 阿瓦达啃大瓜 【验证时间】:11.9 【上课价位】:500P 【颜值身材】:高挑,人照9分,跟频道照片大差不差 【服务内容】: 课表上的都有 【服务态度】: 健谈热情 【优点缺点】: 优点:服务十分到位,颜值身材都非常能打 缺点:我觉得没得 【推荐程度】:10 【体验细节】距离坐高铁还有几个小时,闲着没事就问了一下曼儿老师有没有位置,没想到还真有,距离又近,果断出击。 小区没门禁,上楼后一进门,简直惊艳到我了,没想到这个价位能约到颜值身材都那么好的老师,马上交水费。老师很热情健谈,情绪价值拉满,从进门到开始服务前都没冷场。 一起洗完澡后,躺床上等老师做服务。一开始以为也就走个过场,毕竟这个价位,这个颜值身材,还要什么自行车。没想到老师非常温柔而且认真,技术没得说,不管口还是吸又或者舔,都是我出击过最好的老师,真的是一边写报告一边都还在回…

7 Nov 2026, 08:13 UTC39 viewsread 14 November 2026

【佛广报告】: https://t.me/foshan1234 【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: S 【验证时间】:11.5 【上课价位】:500P 【颜值身材】:颜值身材没话说 【服务内容】: 太多啦 【服务态度】: 非常好 【优点缺点】: 优点多没缺点 优点:服务非常好 颜值身材好 缺点:没的 【推荐程度】:10 【体验细节】大胸爱好者必冲老师!服务无可挑剔,提前预约,准时开门,老师穿粉红色连体裙,卧槽好多对波,好似一个明星,进门先是简单与老师聊了几句,精气神很好,交上水费后老师为我宽衣解带,完全没有让我自己动手的意思,情绪价值满满。当老师脱下自己衣服时我先是一惊,比照片里还要大的奶子。老师牵手入卫生间,认真陪洗服务细致,完全是超出预期范围,老师说她喜欢伺候人。洗干净上床,妈的,全自动哦。亲吻爱抚,波推,口交,一汽克成。我丢然后带套上马,正位起手,我丢,逼逼又粉又暖。老…

5 Nov 2026, 04:27 UTC39 viewsread 14 November 2026

【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: AJ 【验证时间】:11.5 【上课价位】:500P 【颜值身材】: 颜值对版甜美,身材丰满, 【服务内容】: 服务拉满 【服务态度】: 好 【优点缺点】: 服务好 优点:服务好 颜值身材好 缺点:没的 【推荐程度】:10 【体验细节】好的妹子不缺好评,真人长相清秀,高颜值,身材好。懂礼貌,言谈举止大方,皮肤很白,身材顶级,皮肤白而细腻光滑,特别是三点粉,看上去必须想tian的冲动,一口下去水嫩多汁。这是赠予老司机们好这口的福利,身材火辣爆棚,老司机闭眼睛冲,好评必须给,如果满分💯,给95以上。 【群主审核】:此报告参考价值 #低

4 Nov 2026, 05:51 UTC40 viewsread 14 November 2026
Photo

🎉💐🎉Winner Winner🎉💐🎉 广佛验真社的每日红包抽奖11.2 广佛验真社是提供广州和佛山最透明修车信息的社区,诚邀高质量老师加入,上榜免费,详情请联系我群唯一客服机器人 @bommod_bot 兑奖奖请联系 @bommod_bot 奖品自开奖时间起7天内有效。 🎫参与人数: 7942|号码总数: 7942 🔖中奖名单如下: 1- 伦教龙眼鸡[+0] 🉐: 25红包 2- 鱼鹰[+0] 🉐: 25红包 3- Harryy[+0] 🉐: 100通用出击券

2 Nov 2026, 05:51 UTC57 viewsread 14 November 2026
Photo

🎰广佛验真社的每日红包抽奖11.2 🎁奖品如下: 25红包 x 2 100通用出击券 x 1 🎟参加条件: 加入-广州佛山修车验真社 加入-广州佛山修车验真榜 加入-广州佛山修车验真报告 加入-精选AV小站 🌕参加消耗:0积分 ➕加权消耗:5积分/次 上限5次|每次加5 此活动可消耗积分增加中奖率,点击参加按钮操作! 📝抽奖说明: 广佛验真社是提供广州和佛山最透明修车信息的社区,诚邀高质量老师加入,上榜免费,详情请联系我群唯一客服机器人 @bommod_bot 兑奖奖请联系 @bommod_bot 奖品自开奖时间起7天内有效。 ⏰开奖时间: 2026-11-04 13:51:00

2 Nov 2026, 05:11 UTC37 viewsread 14 November 2026
Photo

🎉💐🎉Winner Winner🎉💐🎉 广佛验真社的每日红包抽奖10.31 广佛验真社是提供广州和佛山最透明修车信息的社区,诚邀高质量老师加入,上榜免费,详情请联系我群唯一客服机器人 @bommod_bot 兑奖奖请联系 @bommod_bot 奖品自开奖时间起7天内有效。 🎫参与人数: 6675|号码总数: 6675 🔖中奖名单如下: 1- 那句睡了没[+0] 🉐: 25红包 2- 笑看人生[+0] 🉐: 25红包 3- 三妓生活[+0] 🉐: 100通用出击券

1 Nov 2026, 03:38 UTC65 viewsread 14 November 2026
Photo

🎉💐🎉Winner Winner🎉💐🎉 广佛验真社的每日红包抽奖10.30 广佛验真社是提供广州和佛山最透明修车信息的社区,诚邀高质量老师加入,上榜免费,详情请联系我群唯一客服机器人 @bommod_bot 兑奖奖请联系 @bommod_bot 奖品自开奖时间起7天内有效。 🎫参与人数: 6236|号码总数: 6236 🔖中奖名单如下: 1- 事在人为[+0] 🉐: 100通用出击券 2- 初级撩妹者[+0] 🉐: 25红包 3- 温酒也烫喉[+0] 🉐: 25红包

31 Oct 2026, 07:35 UTC60 viewsread 14 November 2026

【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: 【验证时间】:10.31 【上课价位】:500P 【颜值身材】: 完美 【服务内容】: 多 【服务态度】: 热情 耐心 【优点缺点】: 没缺点 优点:身材好 颜值美 缺点:没的 【推荐程度】:10 【体验细节】:正好在附近办事,忙完有点空闲,前往老师的课室,进屋首先看到老师的美腿加小裙子,配上温柔的声音。心情美好。 交完课费,老师很细节的,帮我洗完澡,还有水萧,已经硬的不行。进入正题,换上战袍,哇,眼前一亮,小弟弟被撩的瞬间起立,视觉效果拉满,老师香肩半露,顺势跪下舔起来,口活非常好,含下整根,非常有感,差点被口出,酥酥麻麻,摸着老师的酥胸,看着老师的小嘴一进一出,真的有点把持不住,于是换体位,马上带上套子,老师一屁股坐上来在我身上疯狂输出,各种摇,舒服,全自动,水很多,边干着老师。一边看着老师淫荡的小表情,一泻千里。 【群主审核】:此报…

Showing the 12 most recent of 47 posts we hold for @hzywj. 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.

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“广州佛山修车验真报告” (@hzywj), 9,158 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/hzywj.

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.