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Channel

广州佛山修车桃花榜

@gzxcthb

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

45,093subscribers

+196 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002681854615
TypeChannel
Username@gzxcthb
Description桃花污 @GZXCTH5 会所榜 @GZXCTHB2 推荐群 @XCTH5 上榜 @Peach0Mbot (唯一上榜) 报告榜 @XCTHBG (报告提交 @PeachBGbot )
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/gzxcthb

Growth

44,50745,09344,8006 August 2026 — 44,897 subscribers6 August 2026 — 44,898 subscribers7 August 2026 — 44,955 subscribers8 August 2026 — 44,914 subscribers9 August 2026 — 44,870 subscribers10 August 2026 — 44,765 subscribers11 August 2026 — 44,771 subscribers12 August 2026 — 44,755 subscribers14 August 2026 — 44,507 subscribers15 August 2026 — 44,537 subscribers16 August 2026 — 44,624 subscribers17 August 2026 — 45,093 subscribers6 August 202617 August 2026
12 measurements spanning 11 days, net +196. 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 44,419–45,181 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 20:0445,093+469
16 Aug 2026, 18:3544,624+87
15 Aug 2026, 08:1644,537+30
14 Aug 2026, 00:0744,507-248
12 Aug 2026, 17:0244,755-16
11 Aug 2026, 14:1244,771+6
10 Aug 2026, 16:3844,765-105
9 Aug 2026, 18:2144,870-44
8 Aug 2026, 20:5144,914-41
7 Aug 2026, 19:5744,955+57
6 Aug 2026, 20:5344,898+1
6 Aug 2026, 20:3344,897first reading

Engagement

18 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 29 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.23%
avg views ÷ 45,093 subscribers
Avg views / post
1,010
18 posts measured
Reaction rate
0.483%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 16 of 18 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 17 August 2026
Posts held18 (6 August 202617 August 2026)
Views total18,093
Reactions total75
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 23:57 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
1,320
Videos
146
Links
188

Lifetime counters from Telegram’s own channel header, read 17 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
54s
Average length
8s

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

75 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 42.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3242.7%
🔥1216.0%
👍1114.7%
😁1013.3%
🎉912.0%
🤔11.33%

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 16 of the 18 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 75reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 6 August 2026 to 17 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

17 Aug 2026, 07:29 UTC568 views2 reactionsread 17 August 2026
Photo

💋 名称:#小七 📍 地区:#天河 🪙 价格:#450 👉 联系:@rr5526 💓 频道:@rr55261 🔖 标签:#69 #丝袜制服 #鸳鸯浴 #御姐 📖 查看报告 📡 返回总榜 ❤️ 返回天河 🤟 会所推荐 🚨 黑车雷榜 👉 一键关注

🔥2

17 Aug 2026, 07:27 UTC476 views9 reactionsread 17 August 2026
Photo

😦位置:#广州 #天河 📱艺名:#清纯小乔 😼标签:#已认证中介商家 💸课费:800/P-1500/PP 🚀私聊:@xiaoqiao87 🙂频道:@xiaoqiao1185 📣双向机器人:@adgrtrsh_bot QQ:3846329693 报告频道:@xiao313 💬资料: 身高169 体重51KG 胸36B+ 🎀标签: #嫩妹 #毒龙 #长腿 #肤白 #69 #舌吻#角色扮演 😄😄😄😄😀😃😄😄😆 🤟会所总榜⭐靠谱商家👉一键关注【桃花污】

3🎉2👍2🔥1😁1

16 Aug 2026, 06:06 UTC≈1,120 views2 reactionsread 17 August 2026
Photo

💋 名称:#小甜甜 📍 地区:#禅城 🪙 价格:#700 👉 联系:@ff56415 💓 频道:@xiaotiantian6888 🔖 标签:#御姐 #外出 📖查阅报告📡返回总榜❤️返回禅城 🤟会所推荐🚨黑车雷榜👉一键关注

2

15 Aug 2026, 17:46 UTC900 views9 reactionsread 16 August 2026
Photo

💋 名称:#贞贞一字马孕妇 📍 地区:#番禺 👉 联系:@zhenzhen888666 💓 频道:@naimaxinxin66 🔖 标签:#孕妇 #转运珠 #一字马 📖查看报告📡返回总榜❤️返回番禺 🤟会所推荐🚨黑车雷榜👉一键关注

3😁3🎉2👍1

13 Aug 2026, 13:28 UTC≈1,700 views10 reactionsread 16 August 2026
Photo

💋 名称:#佳佳爱睡觉 📍 地区:#天河 🪙 价格:#2500 👉 联系:@jiajia26999 💓 频道:@xyy543 🔖 标签:#嫩妹 #舌吻 #69 #包夜 📖查看报告📡返回总榜❤️返回天河 🤟会所推荐🚨黑车雷榜👉一键关注

6🔥2🤔1😁1

12 Aug 2026, 12:22 UTC≈1,600 views3 reactionsread 16 August 2026
Photo

💋 名称:#可乐 📍 地区:#金沙洲 🪙 价格:#600 👉 联系:@aa2027520 💓 频道:@aa2025_5200 🔖 标签:#嫩妹 #舌吻 #包时 #包夜 📖 查看报告 📡 返回总榜 ❤️ 返回白云 🤟 会所推荐 🚨 黑车雷榜 👉 一键关注

3

11 Aug 2026, 13:42 UTC≈1,550 views4 reactionsread 16 August 2026
Photo

💋 名称:#维莉娜 📍 地区:#越秀 🪙 价格:#800 👉 联系:@woaino11 💓 频道:@woninaai 🔖 标签:#御姐 #舌吻 #洋酒 #69 #回魂萧 #深喉 #包时 #包夜 #上门 📖查阅报告📡返回总榜❤️返回越秀 🤟会所推荐🚨黑车雷榜👉一键关注

3🔥1

11 Aug 2026, 08:14 UTC≈1,410 viewsread 15 August 2026
Photo

💋 名称:#香香 📍 地区:#天河 🪙 价格:#800 👉 联系:@XXLSby 💓 频道:@zhouxxLs 🔖 标签:#御姐 #舌吻 #包夜 📖查看报告📡返回总榜❤️返回天河 🤟会所推荐🚨黑车雷榜👉一键关注

10 Aug 2026, 13:55 UTC≈1,060 views11 reactionsread 13 August 2026
Photo

💋 名称:#微微 📍 地区:#白云 🪙 价格:#700 👉 联系:@weiweixiaow 💓 频道:@baiyunxiao 🔖 标签:#丝袜 #69 #上门 #吸蛋蛋 📖查看报告📡返回总榜❤️ 返回白云 🤟会所推荐🚨黑车雷榜👉 一键关注

4👍2🔥2😁2🎉1

10 Aug 2026, 12:04 UTC894 views1 reactionsread 12 August 2026
Photo

💋 名称:#可悠 📍 地区:#天河 🪙 价格:#1200 👉 联系:@KeYou666 💓 频道:@KeYou88 🔖 标签:#嫩妹 #舌吻 #69 #包时 #上门 📖 查看报告📡返回总榜❤️返回天河 🤟 会所推荐🚨黑车雷榜👉一键关注

👍1

10 Aug 2026, 08:37 UTC367 views1 reactionsread 10 August 2026
Photo

💋 名称:#琪琪 📍 地区:#金沙州 🪙 价格:#600 👉 联系:@Xiaoyu0958 💓 频道:@ddhcgjghk 🔖 标签:#69 #Kiss #制服丝袜 #上门 #包夜 📖 查看报告 📡 返回总榜 ❤️ 返回白云 🤟 会所推荐 🚨 黑车雷榜 👉 一键关注

1

9 Aug 2026, 19:33 UTC695 views2 reactionsread 10 August 2026

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🔥2

Showing the 12 most recent of 18 posts we hold for @gzxcthb. 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 — 345,223 of 1,481,306entries 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 12 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“广州佛山修车桃花榜” (@gzxcthb), 45,093 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/gzxcthb.

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.