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Channel

广州佛山黑车防爆

@heichefangbao

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

12,429subscribers

+936 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002170965618
TypeChannel
Username@heichefangbao
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held61
Confirmed unchanged2 times, most recently 7 November 2026
On Telegramt.me/heichefangbao

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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.

Growth

11,49313,27612,384.512,4296 August 20266 November 2026
61 measurements spanning 91 days, net +936. 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 11,226–13,543 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 01:0912,429-2
5 Nov 2026, 01:5812,431-5
4 Nov 2026, 02:3012,436-12
3 Nov 2026, 00:4112,448-47
1 Nov 2026, 21:5912,495-3
31 Oct 2026, 21:2112,498+3
30 Oct 2026, 23:2812,495-5
30 Oct 2026, 00:4612,500+8
28 Oct 2026, 23:3112,492-10
27 Oct 2026, 20:1712,502-3
26 Oct 2026, 20:1612,505-12
25 Oct 2026, 21:2712,517-7
24 Oct 2026, 19:3812,524-4
23 Oct 2026, 21:1712,528-5
22 Oct 2026, 19:4712,533-7
21 Oct 2026, 17:5112,540-22
20 Oct 2026, 13:1712,562-21
19 Oct 2026, 14:0012,583-5
18 Oct 2026, 14:5912,588-13
17 Oct 2026, 17:2112,601first reading

Engagement

21 posts held, back to 8 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.6%
avg views ÷ 12,429 subscribers
Avg views / post
2,940
4 posts measured
Reaction rate
0.141%
reactions ÷ views · ER floor
Posts in window
6
of 21 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 3 of 4 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 6 November 2026
Posts held21 (8 July 2026 – 6 November 2026)
Views total11,740
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 19:28 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
891
Videos
1
Links
92

Lifetime counters from Telegram’s own channel header, read 7 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

54 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2444.4%
🤣2138.9%
💩47.41%
👍23.70%
👏23.70%
🤡11.85%

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 9 of the 21 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 54 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 8 July 2026 to 6 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: 0 of 6 posts held from the last 30 days (0%) 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).

6 Nov 2026, 11:10 UTC≈1,830 viewsread 7 November 2026
Photo

【排雷报告】https://t.me/guangfoyongle2020 【所有位置】金沙洲 【老师艺名】#夏沫 【联系方式】@xiamo2007 【人照几成】7成 【中介代聊】是 【上课价位】注:600 【服务情况】口活有齿感,下面有点松,屌感不太好,做爱的时候还会拿腿顶住你不让你深入,整体下来感觉一般 【雷点说明】不像嫩妹,身材像生育过,下面有点松且死鱼,没有服务,除了胸一无是处 PS排雷原因:中介代聊,符合排雷条件,永乐群已永久下榜拉黑,排雷奖励200元已经发放,排雷奖励188永乐通宝已经到账,辛苦工兵排雷致敬🫡

29 Oct 2026, 10:11 UTC≈3,090 views2 reactionsread 7 November 2026
Photo

【排雷报告】https://t.me/guangfoyongle2020 【所有位置】四季红威尼酒店 【老师艺名】#景瑶 【联系方式】@Jjingyaoa 【人照几成】没见到 【中介代聊】注:是 【上课价位】注:600:中介代聊、人照不符 【服务情况】到了以后要安排其他的 【雷点说明】注:中介代聊、人照不符 PS排雷原因:中介代聊,符合排雷条件,永乐群已永久下榜拉黑,排雷奖励200元已经发放,排雷奖励188永乐通宝已经到账,辛苦工兵排雷致敬🫡

❤2

26 Oct 2026, 09:56 UTC≈3,410 views7 reactionsread 7 November 2026
Photo

【排雷报告】https://t.me/guangfoyongle2020 【所有位置】金沙洲 【老师艺名】#刘薇 【联系方式】@liuwei3331 【人照几成】8 【中介代聊】是 【上课价位】800 【服务情况】无服务 很不耐烦 切不会和你有任何沟通 【雷点说明】 上楼留门进入 老师坐着就玩手机 先交钱 然后才开始说没有陪洗澡 我说但是服务上有的 很不情愿陪洗 非常不舒服,冷漠加不说话 浴巾什么都是自助 接着就是开始服务 基本什么都没有 吹做 而已 非常扫兴 速度结束 全程不说话 只有自己动手 老师一直就是看手机玩手机看视频 不交流? 快餐就快餐别挣服务的钱 挂羊头卖狗肉 有钱兄弟们也没必要花到这种地方 cj多次 头一次被恶心到了。 花钱买脸色 何必呢… 而且老师自己说了是别人代聊 没有账号 所以很敷衍 态度极差 花这个钱就为了写这个报告 真的恶心 PS排雷原因:中介代聊,符合排雷条件,永乐群已永久下榜拉黑,排雷奖励200…

❤7

17 Oct 2026, 08:56 UTC≈3,410 views5 reactionsread 6 November 2026
Photo

【排雷报告】https://t.me/guangfoyongle2020 【所有位置】黄埔 【老师艺名】#白雪 【联系方式】@xxbb629 【人照几成】8 【中介代聊】疑是 【上课价位】500p 【服务情况】没服务 【雷点说明】假波没服务,没陪洗、没kiss(说亲一下加100)、戴套口,舔两下胸戴套口一下就插上来了,女上位一下就说痛换传教式,中途想换姿势后入又阻止不给,说有规矩插进去不能拔出来,像中介代聊,不知道电报是什么,就一个臭鸡嫩妹 PS排雷原因:中介代聊,符合排雷条件,永乐群已永久下榜拉黑,排雷奖励200元已经发放,排雷奖励188永乐通宝已经到账,辛苦工兵排雷致敬🫡

❤3👍2

1 Sept 2026, 07:30 UTC444 viewsread 2 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_209174135

30 Aug 2026, 06:19 UTC408 views1 reactionsread 31 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_209174135

❤1

30 Aug 2026, 06:07 UTC≈2,160 viewsread 2 September 2026
Photo

【排雷报告】https://t.me/guangfoyongle2020 【所有位置】金沙洲 【老师艺名】#晶晶 【联系方式】@miaomiao1600 【人照几成】6.5 【中介代聊】是 【上课价位】5P 【服务情况】课表除了吹,其他都没有 【雷点说明】中介代聊情况,明明在上课时间,老师的空间竟然更新了优惠夜课消息,课表内容不知情 PS排雷原因:中介代聊,符合排雷条件,永乐群已永久下榜拉黑,排雷奖励200元已经发放,排雷奖励188永乐通宝已经到账,辛苦工兵排雷致敬🫡

27 Aug 2026, 07:30 UTC538 viewsread 29 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_209174135

25 Aug 2026, 05:39 UTC463 views0 reactionsread 27 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_209174135

22 Aug 2026, 14:32 UTC503 viewsread 25 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_209174135

Showing the 12 most recent of 21 posts we hold for @heichefangbao. 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.

Posts recorded as deleted after publishing

We recorded 3 posts on @heichefangbao as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
12 August 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 15 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“广州佛山黑车防爆” (@heichefangbao), 12,429 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/heichefangbao.

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.