Telegram RegisterThe public register of Telegram

Channel

广州工兵团亲测榜

@gzgbtbt

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

47,758subscribers

+613 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-1003606211586
TypeChannel
Username@gzgbtbt
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/gzgbtbt

Growth

47,14047,75847,4496 August 2026 — 47,145 subscribers7 August 2026 — 47,150 subscribers7 August 2026 — 47,167 subscribers8 August 2026 — 47,140 subscribers9 August 2026 — 47,189 subscribers10 August 2026 — 47,146 subscribers11 August 2026 — 47,175 subscribers12 August 2026 — 47,316 subscribers14 August 2026 — 47,384 subscribers15 August 2026 — 47,758 subscribers6 August 202615 August 2026
10 measurements spanning 9 days, net +613. 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 47,047–47,851 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 19:3447,758+374
14 Aug 2026, 08:2547,384+68
12 Aug 2026, 23:1247,316+141
11 Aug 2026, 20:1347,175+29
10 Aug 2026, 21:2447,146-43
9 Aug 2026, 23:3747,189+49
8 Aug 2026, 20:5247,140-27
7 Aug 2026, 23:4847,167+17
7 Aug 2026, 00:4147,150+5
6 Aug 2026, 20:3147,145first reading

Engagement

69 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 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.24%
avg views ÷ 47,758 subscribers
Avg views / post
1,550
69 posts measured
Reaction rate
0.051%
reactions ÷ views · ER floor
Posts in window
69
of 69 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 26 of 69 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 15 August 2026
Posts held69 (6 August 202615 August 2026)
Views total106,903
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 13:24 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

Video runtime
5m 24s
Average length
10s

Measured directly from 31 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

29 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 75.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2275.9%
👍310.3%
😘26.90%
🎉13.45%
👏13.45%

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 26 of the 69 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 29reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 69 most recent posts we hold, published 6 August 2026 to 15 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

15 Aug 2026, 10:27 UTC317 viewsread 15 August 2026
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🧡昵称:#甜甜 🌐地区:#海珠 💧课费:#8P 📣电报: @szxttaa 📎标签:#嫩妹 #鸳鸯浴 ⬇️评论回复“甜甜”查看工兵报告

15 Aug 2026, 09:20 UTC397 views1 reactionsread 15 August 2026
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🧡昵称:#球球 🌐地区:#天河 💧课费:#7P 📣电报: @quiqui8899 📎标签:#嫩妹 #大胸 #舌吻 ⬇️评论回复“球球”查看工兵报告

1

15 Aug 2026, 09:18 UTC356 viewsread 15 August 2026
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🧡昵称:#一甜 🌐地区:#天河 🌜课费:#22PP 🔈电报: @yitiano16 📎标签:#嫩妹 #舌吻 #夜课 ⬇️评论回复“一甜”查看工兵报告

15 Aug 2026, 07:56 UTC≈2,310 views1 reactionsread 15 August 2026
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🧡昵称:#申雪倩 🌐地区:#天河 🌜课费:#8P 🔈电报: @sxuedi 📎标签:#御姐 #大胸 #鸳鸯浴 ⬇️评论回复“申雪倩”查看工兵报告

1

14 Aug 2026, 22:07 UTC82 viewsread 15 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_7062110232

14 Aug 2026, 14:28 UTC≈1,560 viewsread 15 August 2026
Photo

🧡昵称:#崽崽 🌐地区:#荔湾 #上门 🌜课费:#12P 🔈电报: @missqire 📎标签:#嫩妹 #白虎 #大胸 ⬇️评论回复“崽崽”查看工兵报告

14 Aug 2026, 13:40 UTC≈1,590 views1 reactionsread 15 August 2026
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🧡昵称:#张诗曼 🌐地区:#天河 🌜课费:#25PP 🔈电报: @Xiaoxiaoya234 📎标签:#御姐 #舌吻 #鸳鸯浴 ⬇️评论回复“张诗曼”查看工兵报告

👍1

14 Aug 2026, 12:10 UTC≈1,600 viewsread 15 August 2026
Photo

😁😆🥹 🥰广州白云铂尔曼顶端97国际水汇【唯一拥有超S牌技师】 🥰 #白云区 #新市 #三元里 #马务 #水汇 #制服 #丝袜 #97场 #口吹 #磨棒 #毒龙 🫠🫠🫠 🫠 🫠🫠🫠 特色优点:全广州目前唯一拥有超S牌技师的水汇,超S牌比S牌还要更高级,颜值超高,真实03年后技师,颜值堪比网红女,身材堪比国际车模,铂尔曼正式登陆广州白云,目前是全广州口碑最好的一家大型97水汇,5000万全新高档装修,技师高达100多位,服务全新升级,真魔棒、真毒龙、真舌头旋转吹,不弄虚作假,主打全广州最顶端的一家97水汇。所有技师都是经过严格筛选,才能招聘上班,服务都是经过一轮又一轮培训,老板重金招聘澳门桑拿老师回来专门培训新人,服务基本是最顶级的,每个月不同花样玩法,黑丝足交、双脚硬撸、猛虎吹都是本店最出名的特色姿势。 全程 #70分钟 时间不到服务不停📃📜 😀😀😀😀 😀😀😀😀

14 Aug 2026, 11:10 UTC≈1,580 views3 reactionsread 15 August 2026
Photo

🔈🫠🫠🫠白云机场首家97水汇 🥰广州白云人和金宸汤泉水汇 👠#人和 #首家汤泉 #95场 #97场 📍#花都 #白云机场 #龙归 #嘉禾 🫠🫠🫠🫠 🫠🫠🫠🫠 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 9️⃣7️⃣服务内容: 艳舞开场 全程👄 丝袜调情 诱惑丝袜 唇吸 冰火 高山流水,真👅独龙,倒挂金钩 👅手脚 69互动,口爆,过水,漫游,磨棒 泰式按摩等等… 澳门标准顶级水汇服务,打造全广州服务与质量天花板! 全程 #80分钟 时间不到服务不停 🔰❎🛗💠🚭❎✅🈳🚭❇️ 🔣🔣🔣水汇频道介绍🔣🔣🔣 🔣🔣🔣技师报告频道🔣🔣🔣 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 💎项目价格: B牌———688预约优惠后628 A牌———788预约优惠后728 S牌———888预约优惠后828 时间:80分钟【不限次数】 🫠🫠🫠

1👍1👏1

14 Aug 2026, 08:09 UTC≈1,910 viewsread 14 August 2026
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🧡昵称:#周小瑶 🌐地区:#佛山 #金沙洲 🌜课费:#8P 🔈电报: @zxy522 📎标签:#御姐 #大胸 #sm ⬇️评论回复“周小瑶”查看工兵报告

14 Aug 2026, 07:58 UTC≈1,910 viewsread 14 August 2026
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🧡昵称:#沈梦辰 🌐地区:#佛山 #金沙洲 🌜课费:#8P 🔈电报: @run899 📎标签:#御姐 #sm #舌吻 ⬇️评论回复“沈梦辰”查看工兵报告

14 Aug 2026, 06:53 UTC≈1,980 viewsread 14 August 2026
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🧡昵称:#小姨子 🌐地区:#番禺 🌜课费:#4P 🔈电报: @rfgfdg4545 📎标签:#御姐 #鸳鸯浴 ⬇️评论回复“小姨子”查看工兵报告

Showing the 12 most recent of 69 posts we hold for @gzgbtbt. 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 — 71,010 of 1,480,688entries 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 18 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“广州工兵团亲测榜” (@gzgbtbt), 47,758 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/gzgbtbt.

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.